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Saturday, January 21, 2017

Anonymous proxy ip address

Free Anonymous Proxy Browser. Take back your. They do not permanently store IP addresses, nor do. Nov 7, 2012 . tips and tools for hiding your IP ...

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Anonymous hacks nic.go.th for OpSingleGateway

Greetings and salutations ladies, gentlemen and generals, Anonymous is calling. The Thai government has not been listening very well, so we shall ...

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Shinique Smith won Anonymous Was Woman 2016 Award



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Anonymous secrets, from murder to medical marijuana, become art at new Glore exhibit

A local artist has used social media to turn anonymous secrets from all around the world into works of art. The secrets range from murder to medical ...

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"Anonymous" Hacking Collective Tweets Warning to Trump Administration

[This is the first of new Daily Galaxy coverage on news of space-based and terrestrial cyber warfare] The hacker and activist collective Anonymous has ...

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Anonymous

Showing 1-24 of 41 results for “Anonymous”. Sorted by date added, Popularity, Relevance, Release date, Title, Author. Filters. Filter search results.

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anonymous-sums

anonymous-sums. Anonymous sum types http://ift.tt/1ZRRZuaanonymous-sums. Version on this page: 0.4.0.0. LTS Haskell 7.16: 0.4.0.0.

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Lavabit — Encrypted Email Service Once Used by Snowden Is Back

Texas-based Encrypted Email Service 'Lavabit,' that was forced to shut down in 2013 after not complying with a court order demanding access to SSL keys to snoop on Edward Snowden's emails, is relaunching on Friday. Lavabit CEO Ladar Levison had custody of the service's SSL encryption key that could have helped the government obtain Snowden's password. Although the FBI insisted it was only


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Five-Year Global Temperature Anomalies from 1880 to 2016

Earth's 2016 surface temperatures were the warmest since modern recordkeeping began in 1880, according to independent analyses by NASA and the National Oceanic and Atmospheric Administration (NOAA). Globally-averaged temperatures in 2016 were 1.78 degrees Fahrenheit (0.99 degrees Celsius) warmer than the mid-20th century mean. This makes 2016 the third year in a row to set a new record for global average surface temperatures. The 2016 temperatures continue a long-term warming trend, according to analyses by scientists at NASA's Goddard Institute for Space Studies (GISS) in New York. NOAA scientists concur with the finding that 2016 was the warmest year on record based on separate, independent analyses of the data. Because weather station locations and measurement practices change over time, there are uncertainties in the interpretation of specific year-to-year global mean temperature differences. However, even taking this into account, NASA estimates 2016 was the warmest year with greater than 95 percent certainty. "2016 is remarkably the third record year in a row in this series," said GISS Director Gavin Schmidt. "We don't expect record years every year, but the ongoing long-term warming trend is clear." The planet's average surface temperature has risen about 2.0 degrees Fahrenheit (1.1 degrees Celsius) since the late 19th century, a change driven largely by increased carbon dioxide and other human-made emissions into the atmosphere. Most of the warming occurred in the past 35 years, with 16 of the 17 warmest years on record occurring since 2001. Not only was 2016 the warmest year on record, but eight of the 12 months that make up the year - from January through September, with the exception of June - were the warmest on record for those respective months. October and November of 2016 were the second warmest of those months on record - in both cases, behind records set in 2015. Phenomena such as El Nino or La Nina, which warm or cool the upper tropical Pacific Ocean and cause corresponding variations in global wind and weather patterns, contribute to short-term variations in global average temperature. A warming El Nino event was in effect for most of 2015 and the first third of 2016. Researchers estimate the direct impact of the natural El Nino warming in the tropical Pacific increased the annual global temperature anomaly for 2016 by 0.2 degrees Fahrenheit (0.12 degrees Celsius). Weather dynamics often affect regional temperatures, so not every region on Earth experienced record average temperatures last year. For example, both NASA and NOAA found the 2016 annual mean temperature for the contiguous 48 United States was the second warmest on record. In contrast, the Arctic experienced its warmest year ever, consistent with record low sea ice found in that region for most of the year. NASA's analyses incorporate surface temperature measurements from 6,300 weather stations, ship- and buoy-based observations of sea surface temperatures, and temperature measurements from Antarctic research stations. These raw measurements are analyzed using an algorithm that considers the varied spacing of temperature stations around the globe and urban heating effects that could skew the conclusions. The result of these calculations is an estimate of the global average temperature difference from a baseline period of 1951 to 1980. NOAA scientists used much of the same raw temperature data, but with a different baseline period, and different methods to analyze Earth's polar regions and global temperatures. GISS is a laboratory within the Earth Sciences Division of NASA's Goddard Space Flight Center in Greenbelt, Maryland. The laboratory is affiliated with Columbia University's Earth Institute and School of Engineering and Applied Science in New York. NASA monitors Earth's vital signs from land, air and space with a fleet of satellites, as well as airborne and ground-based observation campaigns. The agency develops new ways to observe and study Earth's interconnected natural systems with long-term data records and computer analysis tools to better see how our planet is changing. NASA shares this unique knowledge with the global community and works with institutions in the United States and around the world that contribute to understanding and protecting our home planet. The full 2016 surface temperature data set and the complete methodology used to make the temperature calculation are available at: http://ift.tt/1pdQ5Dk

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Friday, January 20, 2017

[FD] Apple iOS 10.2 (Notify - iTunes) - Filter Bypass & Persistent Vulnerability

Topic: Apple (iTunes Notify) - Bypass & Persistent Vulnerability Advisory: http://ift.tt/2iZlnzW Research Article: http://ift.tt/2jquVqx Press Article: http://ift.tt/2k9gMen http://ift.tt/2jljeQ4

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How A Bug Hunter Forced Apple to Completely Remove A Newly Launched Feature

Recently Apple released a new Feature for iPhone and iPad users, but it was so buggy that the company has no option other than rolling back the feature completely. In November, Apple introduced a new App Store feature, dubbed "Notify" button — a bright orange button that users can click if they want to be alerted via iCloud Mail when any game or app becomes available on the App Store.


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0

The 'hacktivist' group Anonymous 's members use the mask worn by the protagonist in a Guy Fawkes Mask to conceal his identity and disfigurment ...

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NFL: Ravens leading tackler LB Zach Orr to retire at age 24 - NFL Network; suffered a stinger in his neck last month (ESPN)

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ISS Daily Summary Report – 1/19/2017

Vacuum Access Port (VAP) Installation and Leak Check: Today, the crew installed a VAP in Node 2 from the LAB Vent Relief Valve to provide vacuum access capability for Visiting Vehicles berthed to Node 2 Nadir after PMA3 is relocated to Node 2 Zenith. Once installed, the VAP and lines were depressed and a leak check started to verify their integrity. The VAP Mod Kit consists of a Vacuum Access Port, Vacuum Hoses, and Vacuum Access Port Adapters to support vacuum through LAB Vent Relief Valve. Story Time From Space Heat Transfer Demonstration: The crew performed the Heat Transfer Experiment portion of the Story Time From Space experiment.  They demonstrated radiative heat transfer through space by showing how the finish on surfaces affects the net heat absorption. The narrated video demonstration was recorded and downlinked for eventual distribution.  Story Time From Space combines science literacy outreach with simple demonstrations recorded aboard the ISS. Crew members read five science, technology, engineering and mathematics-related children’s books in orbit, and complete simple science concept experiments. Crew members videotape themselves reading the books and completing demonstrations. Video and data collected during the demonstrations are downlinked to the ground and posted in a video library with accompanying educational materials. Today’s demonstration is based on the children’s book The Wizard Who Saved the World.  Fluid Shifts Before, During and After Prolonged Space Flight and Their Association with Intracranial Pressure and Visual Impairment (Fluid Shifts): The 48S crewmember and 49S crewmember performed their day 2 Chibis Imaging The subject donned the Chibis device, and while the crewmember was exposed to the negative pressure (pulling the fluid feetward), the operator, with remote guidance from Houston, performed arterial and venous measurements of the head and neck; cardiac, ophthalmic, and portal vein measurements; and tissue thickness of various body parts using the Human Research Facility (HRF) ultrasound. Fluid Shifts investigates the causes for severe and lasting physical changes to astronaut’s eyes. Because the headward fluid shift is a hypothesized contributor to these changes, reversing this fluid shift with a lower body negative pressure device is investigated as a possible intervention. Results from this study may help to develop preventative measures against lasting changes in vision and eye damage. Aquapad Analysis: The crew performed an inspection and analysis of water samples collected on Tuesday.  This is the third session of Aquapad collection and analysis, where the crew first verified colony growth and condensation levels on each of the Aquapad Containment Boxes then using the EveryWear application, the crew took pictures of the Containment Box for ground analysis. Aquapad is a new approach developed by France’s CNES space agency: paper impregnated with powdered growth medium creates a 3D petri dish. When water is added, the microbes form colored spots revealing their locations. Using a tablet computer application the crew will photograph the dots to calculate precisely how many bacteria are present.  Mobile Servicing System (MSS) Operations:  Robotics Ground Controllers maneuvered the Special Purpose Dexterous Manipulator (SPDM) Arm2, grasped the SPDM Enhanced Orbital Replacement Unit (ORU) Temporary Platform (EOTP), and rotated it in preparation SPDM stow. They then maneuvered the Space Station Remote Manipulator System (SSRMS) to remove the spare Camera, Light, Pan/Tilt Unit (PTU) Assembly (CLPA) installed on the Mobile Transporter Relay Assembly (MTRA) during USOS EVA 39 on Friday 13-January.  After it was verified by video survey that the electrical connectors on both the MTRA and the CLPA appeared nominal, the Robotics Ground Controllers installed the CLPA on the SSRMS End B Boom.  Upon powering up the SSRMS End B Video Distribution Unit (VDU) a CLPA Light electrical circuit trip message was received, same message was seen last Friday during the initial powerup.  Finally the Robotics Ground Controllers maneuvered the SSRMS and SPDM to a park position.  A CLPA checkout was completed, and as expected the CLPA Light did not work but the Camera functioned nominally. Today’s Planned Activities All activities were completed unless otherwise noted. FLUID SHIFTS. Comm configuration for the experiment FLUID SHIFTS. Gathering and Connecting Equipment for TV coverage Coliform Water Sample Analysis 44 +/- 4 hours post processing FLUID SHIFTS. Activation of РБС for Ultrasound Equipment Fine Motor Skills Experiment Test – Subject Fine Motor Skills Historical Documentation Photography FLUID SHIFTS. Ultrasound 2 Setup and Activation Aerosol Samplers Cartridge Removal FLUID SHIFTS. Don Chibis FLUID SHIFTS. Operator Assistance with Chibis and Gamma-1. FLUID SHIFTS. Ultrasound Scan in SM, Operator 1 Fluid Shifts Ultrasound Service Module Scan – Subject Node 2 Vacuum Access Port (VAP) Installation FLUID SHIFTS. Doff Chibis FLUID SHIFTS. Chibis Setup FLUID SHIFTS. Operator Assistance with Chibis and Gamma-1. Tagup with specialists De-Mating of MagVector Umbilicals from COL1F2 UIP Fluid Shifts Ultrasound Service Module Preparation COL1F2_AFT Backfill FLUID SHIFTS. Ultrasound Scan in SM, Subject Fluid Shifts Ultrasound Service Module Scan – Operator FLUID SHIFTS. Chibis Closeout Ops HRF2 Supply Kit Resupply FLUID SHIFTS. РБС Power Outlet Deactivation Fluid Shifts Ultrasound Service Module Stow FLUID SHIFTS. Deactivation of КСПЭ Equipment and Closing  Applications on Central Post SSC Fluid Shifts HRF PC CCFP Service Module Setup FLUID SHIFTS. Restoring nominal comm config FLUID SHIFTS. Installation of cable assembly for voltage converter. Fluid Shifts Ultrasound Hardware Transfer FLUID SHIFTS. Connecting US-invertor to СУБА. Private Psychological Conference (PPC) POLAR 3 Hardware Remove Mating of MagVector Umbilicals from COL1F2 UIP VHF EMER COMM Checkout Requires CREW and IP support ESA Weekly crew conference Public Affairs Office (PAO) High Definition (HD) Config LAB Setup Story Time from Space Heat Transfer Demonstration PILOT-T. Preparation for the experiment. Node 2 Vacuum Access Port (VAP) Leak Check Part 1 Soyuz 732 IRIDIUM Phone Charge, Initiate Charge Aquapad Water double Analysis PILOT-T. Experiment Ops. Soyuz 732 IRIDIUM Phone Charging, Battery Status Check Soyuz 732 IRIDIUM Phone Charge, Terminate Charge, Teardown of the Setup (Stow ФГБ1ПГО_2_224_1 0.5 CTB No.1017 Soft container 00044322R) PAO Preparation Public Affairs Office (PAO) Event in High Definition (HD) – Lab Node 2 Vacuum Access Port (VAP) Leak Check Part 2 Story Time From Space Historical Photo Initiate EDV fill from […]

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ISS Daily Summary Report – 1/18/2017

Japanese Small Satellite Orbital Deployer-6 (J-SSOD6) Removal:  Following the successful deployments on Monday, the crew repressed the JEM Airlock (JEMAL) then extended the Slide Table into the cabin to remove the deployers from the Multi-Purpose Experiment Platform (MPEP). The next use of the JEMAL is the High Definition Television External Facility-2 (HDTV-EF2), a high-definition television camera system, which is used for earth observation from the ISS and will be installed on the JEM-EF. Electrostatic Levitation Furnace (ELF) Holder Removal: During the ELF troubleshooting on December 27, the ELF Sample Holder was unable to rotate.  The crew removed then inspected the Sample Holder and inserted a new Sample Cartridge.  The ELF cables were then reconnected and the Sample Holder reinstalled into the Work Volume. Japan Aerospace Exploration Agency’s (JAXA’s) ELF is located in Multi-Purpose Small Payload Rack (MSPR)-2.  Once complete, this cartridge sample will provide science capability for ground teams to evaluate.  The ELF is an experimental facility designed to levitate/melt/solidify materials by containerless processing techniques using the Electrostatic Levitation method. With this facility, thermophysical properties of high temperature melts can be measured, and solidification from deeply undercooled melts can be achieved.  Fluid Shifts Before, During and After Prolonged Space Flight and Their Association with Intracranial Pressure and Visual Impairment (Fluid Shifts): Two 49S crewmembers performed their final portions of the Flight Day 45 Day (FD45) Fluid Shifts operations in the Russian Service Module (SM). The subject donned the Lower Body Negative Pressure (LBNP/Chibis) device, while the operator, with ground support in Moscow, assisted in the medical monitoring. Additionally, while the subject was in the LBNP and experiencing the negative pressure (pulling the fluid feetward), the Crew Medical Officer performed Distortion Product Otoacoustic Emissions (DPOAE), Optical Coherence Tomography (OCT), and Tonometry measurements. Fluid Shifts is a joint NASA-Russian experiment that investigates the causes for severe and lasting physical changes to astronaut’s eyes. Because the headward fluid shift is a hypothesized contributor to these changes, reversing this fluid shift with a lower body negative pressure device is investigated as a possible intervention. Results from this study may help to develop preventative measures against lasting changes in vision and eye damage. Combustion Integration Rack (CIR) Multi-user Droplet Combustion Apparatus (MDCA) Troubleshooting Part 3: Using the tools assembled yesterday, the crew successfully removed the MDCA from the CIR Combustion Chamber.  The crew repaired the spring fastener that was preventing the removal and reinstalled the MDCA.  Next week the crew will reconfigure the CIR to the Cool Flames Investigation (CFI).  CFI provides new insight into the phenomenon where some types of fuels initially burn very hot, then appear to go out — but they continue burning at a much lower temperature, with no visible flames (cool flames). Understanding cool flame combustion helps scientists develop new engines and fuels that are more efficient and less harmful to the environment. ARED Sensor Calibration: The crew performed a sensor calibration via the Station Support Computer (SSC) resident software. This activity calibrates the rotational sensors in the main arm and the load sensors for cable exercises to utilize the new ARED software load that was uplinked GMT 014.  Vacuum Access Port (VAP) Installation Procedure Review: Today, the crew reviewed procedures and gathered hardware to support installation of a VAP in Node 2 from the LAB Vent Relief Valve to provide vacuum access capability for Visiting Vehicles berthed to Node 2 Nadir after PMA3 is relocated to Node 2 Zenith. The installation of the VAP is scheduled for Thursday, GMT 019. The VAP Mod Kit consists of a Vacuum Access Port, Vacuum Hoses, and Vacuum Access Port Adapters to support vacuum through LAB Vent Relief Valve. Columbus Return Grid Sensor Housing (RGSH) Internal Cleaning: The crew inspected and cleaned the Columbus RGSH, RGSH internal area and the Air Duct Debris Screen installed in the Port Cone. The RGSH was removed to acquire access to the internal sensors and brackets to allow cleaning using Vacuum Cleaner.  Improved Payload Ethernet Hub Gateway (iPEHG) Procedure Review: The crew reviewed procedures for installing an iPEHG into Expedite the Processing of Experiments to the Space Station (ExPRESS) Rack-7 (ER-7) on Friday. Following the review, the crew participated in a conference with the ExPRESS Rack Ops Lead to address any questions. The iPEHG is a component of the ISS’s Joint Station Local Area Network (JSL) and provides switched Ethernet full-duplex network data communication between International Standard Payload Racks (ISPR) devices, ExPRESS Rack devices, the JSL Edge Routers (ER), and a fiber optic High Rate Data Link (HRDL) Gateway to the High Rate Communications System (HRCS).  Solid State Lighting Assembly (SSLA) Installation:  Today, the crew installed SSLAs into the Node 1 Overhead Port and Overhead Starboard locations. This was a Task List activity. The SSLAs were designed to replace General Luminaire Assemblies (GLAs) to improve visual acuity and to provide a crew health countermeasure for circadian rhythms, sleep, alertness and performance. To accomplish these goals, SSLAs are designed to operate in 3 modes with 3 distinct spectrum. The different spectrum provide control of the blue portion of the light which impacts melatonin production in humans which impacts sleep. CLPA (Camera Light Pan Tilt Assembly) Install on Space Station Remote Manipulator System (SSRMS): Last Friday, the CLPA checkout was nominal on the Mobile Transporter Relay Assembly (MTRA), but a trip indication was observed when attempting to power on the light. Teams have resolved the camera can be installed on the SSRMS with the faulty light.  Later this evening, the plan is to inspect the CLPA, inspect the MTRA, perform additional troubleshooting, and install the CLPA on the SSRMS end B. During the inspections, the 72-pin connector will be inspected by the SSRMS camera at close range for damage. If damage is seen to the connector, the CLPA will be reinstalled to the MTRA instead of the SSRMS end B. Today’s Planned Activities All activities were completed unless otherwise noted. Manufacturing Device Hardware Audit SPHERES Battery Setup XF305 Camcorder Setup Electrostatic Levitation Furnace(ELF) Sample Holder removal MATRYOSHKA-R. BUBBLE-dosimeter […]

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Port Anonymous Subscriptions to Drupal 8

Port Anonymous Subscriptions to Drupal 8. Active. Project: Anonymous Subscriptions. Version: 7.x-1.x-dev. Component: Code. Priority: Normal.

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The Elephant's Trunk Nebula in Cepheus


Like an illustration in a galactic Just So Story, the Elephant's Trunk Nebula winds through the emission nebula and young star cluster complex IC 1396, in the high and far off constellation of Cepheus. Also known as vdB 142, the cosmic elephant's trunk is over 20 light-years long. This colorful close-up view includes image data from a narrow band filter that transmits the light from ionized hydrogen atoms in the region. The resulting composite highlights the bright swept-back ridges that outline pockets of cool interstellar dust and gas. Such embedded, dark, tendril-shaped clouds contain the raw material for star formation and hide protostars within. Nearly 3,000 light-years distant, the relatively faint IC 1396 complex covers a large region on the sky, spanning over 5 degrees. This dramatic scene spans a 1 degree wide field, about the size of 2 Full Moons. via NASA http://ift.tt/2k4rLFU

Anonymous sad poems

Feel free to submit your anonymous poetry and prose. Please, do NOT send your poetry but i am sad to be soul-deprived. of a beautiful being who ...

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Thursday, January 19, 2017

Parsimonious Inference on Convolutional Neural Networks: Learning and applying on-line kernel activation rules. (arXiv:1701.05221v1 [cs.CV])

A new, radical CNN design approach is presented in this paper, considering the reduction of the total computational load during inference. This is achieved by a new holistic intervention on both the CNN architecture and the training procedure, which targets to the parsimonious inference by learning to exploit or remove the redundant capacity of a CNN architecture. This is accomplished, by the introduction of a new structural element that can be inserted as an add-on to any contemporary CNN architecture, whilst preserving or even improving its recognition accuracy. Our approach formulates a systematic and data-driven method for developing CNNs that are trained to eventually change size and form in real-time during inference, targeting to the smaller possible computational footprint. Results are provided for the optimal implementation on a few modern, high-end mobile computing platforms indicating a significant speed-up of up to x3 times.



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Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples. (arXiv:1701.05226v1 [cs.AI])

This article aims to achieve two goals: to show that probability is not the only way of dealing with uncertainty (and even more, that there are kinds of uncertainty which are for principled reasons not addressable with probabilistic means); and to provide evidence that logic-based methods can well support reasoning with uncertainty. For the latter claim, two paradigmatic examples are presented: Logic Programming with Kleene semantics for modelling reasoning from information in a discourse, to an interpretation of the state of affairs of the intended model, and a neural-symbolic implementation of Input/Output logic for dealing with uncertainty in dynamic normative contexts.



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Heterogeneous Information Network Embedding for Meta Path based Proximity. (arXiv:1701.05291v1 [cs.AI])

A network embedding is a representation of a large graph in a low-dimensional space, where vertices are modeled as vectors. The objective of a good embedding is to preserve the proximity between vertices in the original graph. This way, typical search and mining methods can be applied in the embedded space with the help of off-the-shelf multidimensional indexing approaches. Existing network embedding techniques focus on homogeneous networks, where all vertices are considered to belong to a single class.



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Semantic Evolutionary Concept Distances for Effective Information Retrieval in Query Expansion. (arXiv:1701.05311v1 [cs.IR])

In this work several semantic approaches to concept-based query expansion and reranking schemes are studied and compared with different ontology-based expansion methods in web document search and retrieval. In particular, we focus on concept-based query expansion schemes, where, in order to effectively increase the precision of web document retrieval and to decrease the users browsing time, the main goal is to quickly provide users with the most suitable query expansion. Two key tasks for query expansion in web document retrieval are to find the expansion candidates, as the closest concepts in web document domain, and to rank the expanded queries properly. The approach we propose aims at improving the expansion phase for better web document retrieval and precision. The basic idea is to measure the distance between candidate concepts using the PMING distance, a collaborative semantic proximity measure, i.e. a measure which can be computed by using statistical results from web search engine. Experiments show that the proposed technique can provide users with more satisfying expansion results and improve the quality of web document retrieval.



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Fuzzy Ontology-Based Sentiment Analysis of Transportation and City Feature Reviews for Safe Traveling. (arXiv:1701.05334v1 [cs.AI])

Traffic congestion is rapidly increasing in urban areas, particularly in mega cities. To date, there exist a few sensor network based systems to address this problem. However, these techniques are not suitable enough in terms of monitoring an entire transportation system and delivering emergency services when needed. These techniques require real-time data and intelligent ways to quickly determine traffic activity from useful information. In addition, these existing systems and websites on city transportation and travel rely on rating scores for different factors (e.g., safety, low crime rate, cleanliness, etc.). These rating scores are not efficient enough to deliver precise information, whereas reviews or tweets are significant, because they help travelers and transportation administrators to know about each aspect of the city. However, it is difficult for travelers to read, and for transportation systems to process, all reviews and tweets to obtain expressive sentiments regarding the needs of the city. The optimum solution for this kind of problem is analyzing the information available on social network platforms and performing sentiment analysis. On the other hand, crisp ontology-based frameworks cannot extract blurred information from tweets and reviews; therefore, they produce inadequate results. In this regard, this paper proposes fuzzy ontology-based sentiment analysis and SWRL rule-based decision-making to monitor transportation activities and to make a city- feature polarity map for travelers. This system retrieves reviews and tweets related to city features and transportation activities. The feature opinions are extracted from these retrieved data, and then fuzzy ontology is used to determine the transportation and city-feature polarity. A fuzzy ontology and an intelligent system prototype are developed by using Prot\'eg\'e OWL and Java, respectively.



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T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects. (arXiv:1701.05498v1 [cs.CV])

We introduce T-LESS, a new public dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects. The dataset features thirty industry-relevant objects with no significant texture and no discriminative color or reflectance properties. The objects exhibit symmetries and mutual similarities in shape and/or size. Compared to other datasets, a unique property is that some of the objects are parts of others. The dataset includes training and test images that were captured with three synchronized sensors, specifically a structured-light and a time-of-flight RGB-D sensor and a high-resolution RGB camera. There are approximately 39K training and 10K test images from each sensor. Additionally, two types of 3D models are provided for each object, i.e. a manually created CAD model and a semi-automatically reconstructed one. Training images depict individual objects against a black background. Test images originate from twenty test scenes having varying complexity, which increases from simple scenes with several isolated objects to very challenging ones with multiple instances of several objects and with a high amount of clutter and occlusion. The images were captured from a systematically sampled view sphere around the object/scene, and are annotated with accurate ground truth 6D poses of all modeled objects. Initial evaluation results indicate that the state of the art in 6D object pose estimation has ample room for improvement, especially in difficult cases with significant occlusion. The T-LESS dataset is available online at http://ift.tt/2iQaqzF.



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A new look at reweighted message passing. (arXiv:1309.5655v3 [cs.AI] UPDATED)

We propose a new family of message passing techniques for MAP estimation in graphical models which we call {\em Sequential Reweighted Message Passing} (SRMP). Special cases include well-known techniques such as {\em Min-Sum Diffusion} (MSD) and a faster {\em Sequential Tree-Reweighted Message Passing} (TRW-S). Importantly, our derivation is simpler than the original derivation of TRW-S, and does not involve a decomposition into trees. This allows easy generalizations. We present such a generalization for the case of higher-order graphical models, and test it on several real-world problems with promising results.



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An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax. (arXiv:1611.01886v2 [cs.LG] UPDATED)

A framework is presented for unsupervised learning of representations based on infomax principle for large-scale neural populations. We use an asymptotic approximation to the Shannon's mutual information for a large neural population to demonstrate that a good initial approximation to the global information-theoretic optimum can be obtained by a hierarchical infomax method. Starting from the initial solution, an efficient algorithm based on gradient descent of the final objective function is proposed to learn representations from the input datasets, and the method works for complete, overcomplete, and undercomplete bases. As confirmed by numerical experiments, our method is robust and highly efficient for extracting salient features from image datasets. Compared with the main existing methods, our algorithm has a distinct advantage in both the training speed and the robustness of unsupervised representation learning.



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Liquid Democracy: An Analysis in Binary Aggregation and Diffusion. (arXiv:1612.08048v2 [cs.MA] UPDATED)

The paper proposes an analysis of liquid democracy (or, delegable proxy voting) from the perspective of binary aggregation and of binary diffusion models. We show how liquid democracy on binary issues can be embedded into the framework of binary aggregation with abstentions, enabling the transfer of known results about the latter---such as impossibility theorems---to the former. This embedding also sheds light on the relation between delegation cycles in liquid democracy and the probability of collective abstentions, as well as the issue of individual rationality in a delegable proxy voting setting. We then show how liquid democracy on binary issues can be modeled and analyzed also as a specific process of dynamics of binary opinions on networks. These processes---called Boolean DeGroot processes---are a special case of the DeGroot stochastic model of opinion diffusion. We establish the convergence conditions of such processes and show they provide some novel insights on how the effects of delegation cycles and individual rationality could be mitigated within liquid democracy.

The study is a first attempt to provide theoretical foundations to the delgable proxy features of the liquid democracy voting system. Our analysis suggests recommendations on how the system may be modified to make it more resilient with respect to the handling of delegation cycles and of inconsistent majorities.



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MLB: Orioles, Mark Trumbo agree on 3-year, $37M contract - Jim Bowden; MLB-leading 47 HR last season (ESPN)

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MLB Buzz: Orioles, Mark Trumbo closing in on 3-year deal expected to be for less than $40M - multiple reports (ESPN)

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Free ssl proxy server anonymous web blocked sites

Access blocked sites and browse safely with free Hidester Web Proxy. Browse the web anonymously wit. Get to websites back home when you are ...

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[anonymous_subscriptions] Anonymous Subscriptions

Summary This module enables anonymous users to subscribe to be notified of changes to nodes. # Project URL ...

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Anonymous Short Trader Attacks Cellceutix (CTIX) Again

Anonymous Short Trader Attacks Cellceutix Again January 19, 2017. By Mark Terry, BioSpace.com Breaking News Staff On January 17, a short seller ...

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Ravens: Michigan S Jabrill Peppers goes No. 16 in Mel Kiper's Mock Draft 1.0; doesn't fill major need - Jamison Hensley (ESPN)

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[FD] Tap 'n' Sniff

Content Table 1. Introduction 2. Failsafe mode 3. Installing Openwrt 4. Configuring Openwrt 5. Testing 1. Introduction The goal of this guide is to provide a reliable and fast way for creating a lan tap for red team assessments of networks. While this was our main target this tap is also quite helpful if you want to have a great device for your daily analysis of network attached computers. Before we started with our implementation we made a list of things which were mandatory. The hardware had to be small, have at least two lan ports and wifi, cheap and opensource included or available. After some research we choose the TL-WR810N, a 20 euro Pocket Router which should be available in most electronic stores. It features two lan ports and a wifi card, which allows us to bridge the lan interfaces and create a hidden AP to connect to the device. It should be said that the device only supports Fastlan (100 Mbit/sec) and not Gigabit lan (1000 Mbit/sec) but at this size you can't be picky and it's quite difficult to find something better even online when ordering from a foreign country so there is that. After we are finished we want to be able to listen to the network traffic between the taped sources, manipulate packets or directly pivot into the network. For our setup we are going to use openwrt instead of the default TP-Link firmware. We are currently working on creating an image that will make the configuration of openwrt obsolete so stay tuned for info regarding this. And this is how it actually looks: [wr810n_front] [wr810n_back] [wr810n_ports] [wr810n_led_switch] On the inside we find a SoC (System on Chip), namely the Qualcomm Atheros QCA9533 which is capable of wireless ABGN communication and has a clock speed of 560 MHz according to wikidevi. There is also 64 MB of Ram and we can use 4.6 MB of flash storage with 1.1 still availiable after finishing this guide. Below is the output of cpuinfo, free and df. It is interesting that when we opened the device later on we actually found the cpu to be a different one, the Qualcom QCA9531-BL3A but apparently they are identical. Basic information found via commandline: root@OpenWrt:~# cat /proc/cpuinfo system type : Qualcomm Atheros QCA9533 ver 2 rev 0 machine : TP-LINK TL-WR810N processor : 0 cpu model : MIPS 24Kc V7.4 BogoMIPS : 432.53 wait instruction : yes microsecond timers : yes tlb_entries : 16 extra interrupt vector : yes hardware watchpoint : yes, count: 4, address/ irw mask: [0x0ffc, 0x0ffc, 0x0ffb, 0x0ffb] isa : mips1 mips2 mips32r1 mips32r2 ASEs implemented : mips16 shadow register sets : 1 kscratch registers : 0 package : 0 core : 0 VCED exceptions : not available VCEI exceptions : not available

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I have a new follower on Twitter


David Borean
Husband, dance dad and alpha to a schnoodle. Delivering true #Customer360 and next gen #MDM in #DataLake https://t.co/hZm9rPLRZf
Aurora, Canada
https://t.co/8UdLbpy3Kk
Following: 956 - Followers: 1045

January 19, 2017 at 11:39AM via Twitter http://twitter.com/DaveBorean

Alcoholics Anonymous-Open Meeting

Alcoholics Anonymous-Open Meeting. recurring see all events in this series. When: Thursday, January 19, 2017 8:30 PM - 9:30 PM. Where: Scott Hall ...

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[FD] [RCESEC-2016-012] Mattermost <= 3.5.1 "/error" Unauthenticated Reflected Cross-Site Scripting / Content Injection

RCE Security Advisory http://ift.tt/1FlL0Pz 1. ADVISORY INFORMATION ======================= Product: Mattermost Vendor URL: www.mattermost.org Type: Cross-Site Scripting [CWE-79] Date found: 02/12/2016 Date published: 16/01/2017 CVSSv3 Score: 4.7 (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:N/I:L/A:N) CVE: - 2. CREDITS ========== This vulnerability was discovered and researched by Julien Ahrens from RCE Security. 3. VERSIONS AFFECTED ==================== Mattermost v3.5.1 Mattermost v3.5.0 older versions may be affected too. 4. INTRODUCTION =============== Mattermost is an open source Slack-alternative built for enterprise. Thousands of companies use Mattermost for workplace messaging across web, PC and phones with archiving, search, corporate directory integration and connectivity to over 700 third party applications. Available under MIT license in 11 languages Mattermost offers peace-of-mind, value, control, and freedom from lock-in for organizations around the world. 5. VULNERABILITY DETAILS ======================== The Mattermost "/error" page is vulnerable to an unauthenticated reflected Cross-Site Scripting vulnerability when user-supplied input to the HTTP GET parameter "link" is processed by the web application. Since the application does not properly validate and sanitize this parameter, it is possible to set the return link, which is part of the error page, to a base64 encoded DATA URI. This could be used to execute arbitrary JavaScript code in the context of an authenticated as well as unauthenticated user. There is one restriction which reduces the attack likelihood: Due to JavaScript validations it is not possible to execute the payload by a simple click on the return link, but instead it must be opened in a new browser tab or window. However since an attacker does also have all other text elements (HTTP GET parameters "title" and "linkmessage") of the error page under control, it is possible to perform social engineering attacks on the very same page. The following Proof-of-Concept triggers this vulnerability by injecting a base64-encoded data URI and a spoofed content text for the title and link message: https://localhost/error?title=Unknown%20Error&link=data:text/html;base64,PHNjcmlwdD5hbGVydCgnWFNTJyk8L3NjcmlwdD4=&linkmessage=http://mattermost.org&message=Something%20went%20wrong%20with%20the%20provided%20link,%20open%20it%20with%20a%20right%20click%20instead! The payload is afterwards reflected within the response body:

Unknown Error

Something went wrong with the provided link, open it with a right click instead!

http://mattermost.org
6. RISK ======= To successfully exploit this vulnerability an authenticated or unauthenticated user must be tricked into visiting a prepared link provided by the attacker. Once on the "/error" page, the user must also be tricked into opening the link in a new tab or window, which can be accomplished by spoofing the other elements of the error page. The vulnerability can be used to temporarily embed arbitrary script code into the context of the Mattermost error page, which offers a wide range of possible attacks such as redirecting the user to a malicious page or attacking the browser and its plugins. Since session-relevant cookies are protected with the HttpOnly flag, it is not possible to hijack sessions. 7. SOLUTION =========== Update to Mattermost v3.6.0. 8. REPORT TIMELINE (DD/MM/YYYY) =============================== 02/12/2016: Discovery of the vulnerability 02/12/2016: Created support ticket #2231 with preset disclosure date set to 16/01/2017 12/12/2016: No response, sent out another notification 12/12/2016: Vendor confirms the vulnerability 03/01/2017: No further response, sent reminder about the disclosure date 16/01/2017: Vendor releases v3.6.0 which fixes this vulnerability 18/01/2017: Advisory released 9. REFERENCES ============= -

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[FD] Persistent XSS in Ghost 0.11.3

=====[ Tempest Security Intelligence - ADV-9/2017 ]======================== Persistent Cross-Site Scripting (XSS) in Ghost

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[FD] CALL FOR PAPERS - br3aking c0de

{About br3aking c0de} Congress of security alternative and different. Speak freely without censorship. Assistance only for guests or through acceptance of call for paper CFP.

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[FD] [ERPSCAN-16-037] SAP NetWeaver AS JAVA P4 - INFORMATION DISCLOSURE

Application: SAP NetWeaver AS JAVA Versions Affected: SAP NetWeaver AS JAVA 7.11-7.4 Vendor URL: http://SAP.com Bugs: Information disclosure Sent: 10.03.2016 Reported: 11.03.2016 Vendor response: 11.03.2016 Date of Public Advisory: 12.10.2016 Reference: SAP Security Note 2331908 Author: Vahagn @vah_13 Vardanyan (ERPScan) Description 1. ADVISORY INFORMATION Title:[ERPSCAN-16-037] SAP NetWeaver AS JAVA P4 MSPRUNTIMEINTERFACE INFORMATION DISCLOSURE Advisory ID:[ERPSCAN-16-037] Risk: high Advisory URL: http://ift.tt/2k4KjpE Date published: 11.01.2017 Vendors contacted: SAP 2. VULNERABILITY INFORMATION Class: Information disclosure Impact: broken authentication Remotely Exploitable: yes Locally Exploitable: no CVE: CVE-2017-5372 CVSS Information CVSS Base Score v3: 7.3 / 10 CVSS Base Vector: AV : Attack Vector (Related exploit range) Network (N) AC : Attack Complexity (Required attack complexity) Low (L) PR : Privileges Required (Level of privileges needed to exploit) None (N) UI : User Interaction (Required user participation) None (N) S : Scope (Change in scope due to impact caused to components beyond the vulnerable component) Unchanged (U) C : Impact to Confidentiality Low (L) I : Impact to Integrity Low (L) A : Impact to Availability Low (L) 3. VULNERABILITY DESCRIPTION Anonymous attacker can send a special request and get sensitive information about an SAP system using SAP P4. 4. VULNERABLE PACKAGES SERVERCORE 7.11 7.20 7.30 7.31 7.40 7.50 5. SOLUTIONS AND WORKAROUNDS To correct this vulnerability, install SAP Security Note 2331908 6. AUTHOR Vahagn Vardanyan (ERPScan) 7. TECHNICAL DESCRIPTION SAP AS JAVA P4 function msp (MSPRuntimeInterface) does not require any authorization to call the following functions: getInformation getParameters getServiceInfo getStatistic getClientStatistic PoC (Java language) package sap_p4_poc; ***** Properties p = new Properties(); p.put("java.naming.factory.initial", "com.sap.engine.services.jndi.InitialContextFactoryImpl"); p.put("java.naming.provider.url", SAP_IP+":"+SAP_PORT); InitialContext initialContext = new InitialContext(p); Context initialContext = initialContext; MSPRuntimeInterface serialObj = (MSPRuntimeInterface)initialContext.lookup("msp"); System.out.println(

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[FD] [ERPSCAN-16-036] SAP ASE ODATA SERVER - DENIAL OF SERVICE

Application: SAP ASE Versions Affected: SAP ASE ODATA Server v16 Vendor URL: http://SAP.com Bugs: Denial of Service Sent: 01.02.2016 Reported: 02.02.2016 Vendor response: 02.02.2016 Date of Public Advisory: 12.10.2016 Reference: SAP Security Note 2330422 Author: Vahagn @vah_13 Vardanyan (ERPScan) Description 1. ADVISORY INFORMATION Title:[ERPSCAN-16-036] SAP ASE ODATA SERVER – DENIAL OF SERVICE Advisory ID:[ERPSCAN-16-036] Risk: high Advisory URL: http://ift.tt/2k4QXw4 Date published: 11.01.2017 Vendors contacted: SAP 2. VULNERABILITY INFORMATION Class: Denial of Service Impact: Resource Exhaustion Remotely Exploitable: yes Locally Exploitable: no CVE: CVE-2017-5371 CVSS Information CVSS Base Score v3: 7.5 / 10 CVSS Base Vector: AV : Attack Vector (Related exploit range) Network (N) AC : Attack Complexity (Required attack complexity) Low (L) PR : Privileges Required (Level of privileges needed to exploit) None (N) UI : User Interaction (Required user participation) None (N) S : Scope (Change in scope due to impact caused to components beyond the vulnerable component) Unchanged (U) C : Impact to Confidentiality None (N) I : Impact to Integrity None (N) A : Impact to Availability High (H) 3. VULNERABILITY DESCRIPTION An attacker can trigger a condition in which the process ceases to run. This condition can be intentionally provoked by an attacker to cause a denial of service. 4. VULNERABLE PACKAGES SIQ 16.0 SQL_ANYWHERE_PERSONAL_SERVER 16.0 SYBASE_ASE_SERVER 15.7 SYBASE_ASE_SERVER 16.0 SYBASE_ASE_CE_SERVER 15.7 5. SOLUTIONS AND WORKAROUNDS To correct this vulnerability, install SAP Security Note 2330422 6. AUTHOR Vahagn Vardanyan (ERPScan) 7. TECHNICAL DESCRIPTION By sending the special request to the SAP ASE Odata Server (C:\SAP\ODATA-16_0\bin64), you can crash it. 8. REPORT TIMELINE Reported: 02.02.2016 Vendor response: 02.02.2016 Date of Public Advisory: 12.10.2016 9. REFERENCES http://ift.tt/2k4QXw4 10. ABOUT ERPScan Research ERPScan research team specializes in vulnerability research and analysis of critical enterprise applications. It was acknowledged multiple times by the largest software vendors like SAP, Oracle, Microsoft, IBM, VMware, HP for discovering more than 400 vulnerabilities in their solutions (200 of them just in SAP!). ERPScan researchers are proud of discovering new types of vulnerabilities (TOP 10 Web Hacking Techniques 2012) and of the "The Best Server-Side Bug" nomination at BlackHat 2013. ERPScan experts participated as speakers, presenters, and trainers at 60+ prime international security conferences in 25+ countries across the continents ( e.g. BlackHat, RSA, HITB) and conducted private trainings for several Fortune 2000 companies. ERPScan researchers carry out the EAS-SEC project that is focused on enterprise application security awareness by issuing annual SAP security researches. ERPScan experts were interviewed in specialized info-sec resources and featured in major media worldwide. Among them there are Reuters, Yahoo, SC Magazine, The Register, CIO, PC World, DarkReading, Heise, Chinabyte, etc. Our team consists of highly-qualified researchers, specialized in various fields of cybersecurity (from web application to ICS/SCADA systems), gathering their experience to conduct the best SAP security research. 11. ABOUT ERPScan ERPScan is the most respected and credible Business Application Cybersecurity provider. Founded in 2010, the company operates globally and enables large Oil and Gas, Financial, Retail and other organizations to secure their mission-critical processes. Named as an ‘Emerging Vendor’ in Security by CRN, listed among “TOP 100 SAP Solution providers” and distinguished by 30+ other awards, ERPScan is the leading SAP SE partner in discovering and resolving security vulnerabilities. ERPScan consultants work with SAP SE in Walldorf to assist in improving the security of their latest solutions. ERPScan’s primary mission is to close the gap between technical and business security, and provide solutions for CISO's to evaluate and secure SAP and Oracle ERP systems and business-critical applications from both cyberattacks and internal fraud. As a rule, our clients are large enterprises, Fortune 2000 companies and MSPs, whose requirements are to actively monitor and manage security of vast SAP and Oracle landscapes on a global scale. We ‘follow the sun’ and have two hubs, located in Palo Alto and Amsterdam, to provide threat intelligence services, continuous support and to operate local offices and partner network spanning 20+ countries around the globe. Adress USA: 228 Hamilton Avenue, Fl. 3, Palo Alto, CA. 94301 Phone: 650.798.5255 Twitter: @erpscan Scoop-it: Business Application Security

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[FD] APPLE-SA-2017-01-18-2 Logic Pro X 10.3

-----BEGIN PGP SIGNED MESSAGE-

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[FD] APPLE-SA-2017-01-18-1 GarageBand 10.1.5

-----BEGIN PGP SIGNED MESSAGE-

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ANC is behind Western Cape fires, a man alleges in anonymous recording

The fires that have ravaged the Western Cape have turned into a political football, after it was alleged in an anonymous recording that the ANC was ...

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THN Deal — Become A Certified Ethical Hacker With This Online Training Course

Hacking is not a trivial process, but it does not take too long to learn. If you want to learn Ethical Hacking and Penetration testing, you are at right place. We frequently receive emails from our readers on how to learn hacking, how to become an ethical hacker, how to break into computers, how to penetrate networks like a professional, how to secure computer systems and networks, and so on.


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Anonymous warns Trump

The online hacker group Anonymous has a warning for the president-elect: "You are going to regret the next 4 years." Days before Donald Trump ...

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You Can Crash Anyone's iPhone Or iPad With A Simple Emoji Text Message

A newly discovered bug in Apple's iOS mobile operating system is being exploited in a prank that lets anyone crash your iPhone or iPad by just sending an emoji-filled iMessage, according to several reports. YouTube star EverythingApplePro published a video highlighting a sequence of characters that temporarily freeze and restart an iPhone, which people can send to their iPhone buddies to


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anonymous

I would like to know if my participants can join the webinar anonymous.

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Newly Discovered Mac Malware with Ancient Code Spying on Biotech Firms

Security researchers have discovered a rare piece of Mac-based espionage malware that relies on outdated coding practices but has been used in some previous real-world attacks to spy on biomedical research center computers. Dubbed Fruitfly, the malware has remained undetected for years on macOS systems despite using unsophisticated and "antiquated code." Infosec firm Malwarebytes discovered


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8th Street, Ocean City, MD's surf is at least 5.63ft high

Maryland-Delaware, January 25, 2017 at 02:00AM

8th Street, Ocean City, MD Summary
At 2:00 AM, surf min of 5.63ft. At 8:00 AM, surf min of 5.05ft. At 2:00 PM, surf min of 4.63ft. At 8:00 PM, surf min of 4.17ft.

Surf maximum: 6.41ft (1.95m)
Surf minimum: 5.63ft (1.72m)
Tide height: 1.39ft (0.42m)
Wind direction: NW
Wind speed: 15.41 KTS


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El Paso County Sheriff Elder denies anonymous claims of departmental wrongdoing

Days after the appearance of a new website containing...

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Five-Year Global Temperature Anomalies from 1880 to 2016

Earth's 2016 surface temperatures were the warmest since modern recordkeeping began in 1880, according to independent analyses by NASA and the National Oceanic and Atmospheric Administration (NOAA). Globally-averaged temperatures in 2016 were 1.78 degrees Fahrenheit (0.99 degrees Celsius) warmer than the mid-20th century mean. This makes 2016 the third year in a row to set a new record for global average surface temperatures. The 2016 temperatures continue a long-term warming trend, according to analyses by scientists at NASA's Goddard Institute for Space Studies (GISS) in New York. NOAA scientists concur with the finding that 2016 was the warmest year on record based on separate, independent analyses of the data. Because weather station locations and measurement practices change over time, there are uncertainties in the interpretation of specific year-to-year global mean temperature differences. However, even taking this into account, NASA estimates 2016 was the warmest year with greater than 95 percent certainty. "2016 is remarkably the third record year in a row in this series," said GISS Director Gavin Schmidt. "We don't expect record years every year, but the ongoing long-term warming trend is clear." The planet's average surface temperature has risen about 2.0 degrees Fahrenheit (1.1 degrees Celsius) since the late 19th century, a change driven largely by increased carbon dioxide and other human-made emissions into the atmosphere. Most of the warming occurred in the past 35 years, with 16 of the 17 warmest years on record occurring since 2001. Not only was 2016 the warmest year on record, but eight of the 12 months that make up the year - from January through September, with the exception of June - were the warmest on record for those respective months. October and November of 2016 were the second warmest of those months on record - in both cases, behind records set in 2015. Phenomena such as El Nino or La Nina, which warm or cool the upper tropical Pacific Ocean and cause corresponding variations in global wind and weather patterns, contribute to short-term variations in global average temperature. A warming El Nino event was in effect for most of 2015 and the first third of 2016. Researchers estimate the direct impact of the natural El Nino warming in the tropical Pacific increased the annual global temperature anomaly for 2016 by 0.2 degrees Fahrenheit (0.12 degrees Celsius). Weather dynamics often affect regional temperatures, so not every region on Earth experienced record average temperatures last year. For example, both NASA and NOAA found the 2016 annual mean temperature for the contiguous 48 United States was the second warmest on record. In contrast, the Arctic experienced its warmest year ever, consistent with record low sea ice found in that region for most of the year. NASA's analyses incorporate surface temperature measurements from 6,300 weather stations, ship- and buoy-based observations of sea surface temperatures, and temperature measurements from Antarctic research stations. These raw measurements are analyzed using an algorithm that considers the varied spacing of temperature stations around the globe and urban heating effects that could skew the conclusions. The result of these calculations is an estimate of the global average temperature difference from a baseline period of 1951 to 1980. NOAA scientists used much of the same raw temperature data, but with a different baseline period, and different methods to analyze Earth's polar regions and global temperatures. GISS is a laboratory within the Earth Sciences Division of NASA's Goddard Space Flight Center in Greenbelt, Maryland. The laboratory is affiliated with Columbia University's Earth Institute and School of Engineering and Applied Science in New York. NASA monitors Earth's vital signs from land, air and space with a fleet of satellites, as well as airborne and ground-based observation campaigns. The agency develops new ways to observe and study Earth's interconnected natural systems with long-term data records and computer analysis tools to better see how our planet is changing. NASA shares this unique knowledge with the global community and works with institutions in the United States and around the world that contribute to understanding and protecting our home planet. The full 2016 surface temperature data set and the complete methodology used to make the temperature calculation are available at: http://ift.tt/1pdQ5Dk

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Wednesday, January 18, 2017

I have a new follower on Twitter


Stephane Rossignol
Ingénieur d'affaires chez @salesforce basé à #Lyon. Je tweete sur le #crm et l' #innovation. Ex-@google @dell @oracle
Lyon
http://t.co/RBBc1asYod
Following: 13424 - Followers: 18174

January 18, 2017 at 09:39PM via Twitter http://twitter.com/srossignol

Anonymous to Trump: You Will 'Regret' the Next 4 Years

A supporter of the activist group Anonymous wears a mask during a protest in London, England. Image: A supporter of the activist group Anonymous ...

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Unknowable Manipulators: Social Network Curator Algorithms. (arXiv:1701.04895v1 [cs.AI])

For a social networking service to acquire and retain users, it must find ways to keep them engaged. By accurately gauging their preferences, it is able to serve them with the subset of available content that maximises revenue for the site. Without the constraints of an appropriate regulatory framework, we argue that a sufficiently sophisticated curator algorithm tasked with performing this process may choose to explore curation strategies that are detrimental to users. In particular, we suggest that such an algorithm is capable of learning to manipulate its users, for several qualitative reasons: 1. Access to vast quantities of user data combined with ongoing breakthroughs in the field of machine learning are leading to powerful but uninterpretable strategies for decision making at scale. 2. The availability of an effective feedback mechanism for assessing the short and long term user responses to curation strategies. 3. Techniques from reinforcement learning have allowed machines to learn automated and highly successful strategies at an abstract level, often resulting in non-intuitive yet nonetheless highly appropriate action selection. In this work, we consider the form that these strategies for user manipulation might take and scrutinise the role that regulation should play in the design of such systems.



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Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models. (arXiv:1701.05004v1 [q-bio.NC])

Humans are not only adept in recognizing what class an input instance belongs to (i.e., classification task), but perhaps more remarkably, they can imagine (i.e., generate) plausible instances of a desired class with ease, when prompted. Inspired by this, we propose a framework which allows transforming Cascade-Correlation Neural Networks (CCNNs) into probabilistic generative models, thereby enabling CCNNs to generate samples from a category of interest. CCNNs are a well-known class of deterministic, discriminative NNs, which autonomously construct their topology, and have been successful in giving accounts for a variety of psychological phenomena. Our proposed framework is based on a Markov Chain Monte Carlo (MCMC) method, called the Metropolis-adjusted Langevin algorithm, which capitalizes on the gradient information of the target distribution to direct its explorations towards regions of high probability, thereby achieving good mixing properties. Through extensive simulations, we demonstrate the efficacy of our proposed framework.



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Ontology based system to guide internship assignment process. (arXiv:1701.05059v1 [cs.AI])

Internship assignment is a complicated process for universities since it is necessary to take into account a multiplicity of variables to establish a compromise between companies' requirements and student competencies acquired during the university training. These variables build up a complex relations map that requires the formulation of an exhaustive and rigorous conceptual scheme. In this research a domain ontological model is presented as support to the student's decision making for opportunities of University studies level of the University Lumiere Lyon 2 (ULL) education system. The ontology is designed and created using methodological approach offering the possibility of improving the progressive creation, capture and knowledge articulation. In this paper, we draw a balance taking the demands of the companies across the capabilities of the students. This will be done through the establishment of an ontological model of an educational learners' profile and the internship postings which are written in a free text and using uncontrolled vocabulary. Furthermore, we outline the process of semantic matching which improves the quality of query results.



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Deep Learning Features at Scale for Visual Place Recognition. (arXiv:1701.05105v1 [cs.CV])

The success of deep learning techniques in the computer vision domain has triggered a range of initial investigations into their utility for visual place recognition, all using generic features from networks that were trained for other types of recognition tasks. In this paper, we train, at large scale, two CNN architectures for the specific place recognition task and employ a multi-scale feature encoding method to generate condition- and viewpoint-invariant features. To enable this training to occur, we have developed a massive Specific PlacEs Dataset (SPED) with hundreds of examples of place appearance change at thousands of different places, as opposed to the semantic place type datasets currently available. This new dataset enables us to set up a training regime that interprets place recognition as a classification problem. We comprehensively evaluate our trained networks on several challenging benchmark place recognition datasets and demonstrate that they achieve an average 10% increase in performance over other place recognition algorithms and pre-trained CNNs. By analyzing the network responses and their differences from pre-trained networks, we provide insights into what a network learns when training for place recognition, and what these results signify for future research in this area.



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On the Performance of Network Parallel Training in Artificial Neural Networks. (arXiv:1701.05130v1 [cs.AI])

Artificial Neural Networks (ANNs) have received increasing attention in recent years with applications that span a wide range of disciplines including vital domains such as medicine, network security and autonomous transportation. However, neural network architectures are becoming increasingly complex and with an increasing need to obtain real-time results from such models, it has become pivotal to use parallelization as a mechanism for speeding up network training and deployment. In this work we propose an implementation of Network Parallel Training through Cannon's Algorithm for matrix multiplication. We show that increasing the number of processes speeds up training until the point where process communication costs become prohibitive; this point varies by network complexity. We also show through empirical efficiency calculations that the speedup obtained is superlinear.



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ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution. (arXiv:1602.02334v3 [cs.DB] UPDATED)

Entity resolution (ER), an important and common data cleaning problem, is about detecting data duplicate representations for the same external entities, and merging them into single representations. Relatively recently, declarative rules called "matching dependencies" (MDs) have been proposed for specifying similarity conditions under which attribute values in database records are merged. In this work we show the process and the benefits of integrating four components of ER: (a) Building a classifier for duplicate/non-duplicate record pairs built using machine learning (ML) techniques; (b) Use of MDs for supporting the blocking phase of ML; (c) Record merging on the basis of the classifier results; and (d) The use of the declarative language "LogiQL" -an extended form of Datalog supported by the "LogicBlox" platform- for all activities related to data processing, and the specification and enforcement of MDs.



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Properties of ABA+ for Non-Monotonic Reasoning: Errata. (arXiv:1603.08714v2 [cs.AI] UPDATED)

This technical report provides errata of [K. Cyras, F. Toni, Properties of ABA+ for Non-Monotonic Reasoning, in: 16th International Workshop on Non-Monotonic Reasoning (NMR), Cape Town, South Africa, 2016 pp. 25-34.] Propositions 19, 20, 22, Corollary 23 and (partially) Proposition 24 from Section 6 (Non-Monotonic Reasoning Properties) in that paper are withdrawn as unproven, and thus assumed to be false, while additional results are provided. The rest of the paper in question stands unchanged.



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A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. (arXiv:1607.08485v2 [cs.AI] UPDATED)

Influence diagrams provide a compact graphical representation of decision problems. Several algorithms for the quick computation of their associated expected utilities are available in the literature. However, often they rely on a full quantification of both probabilistic uncertainties and utility values. For problems where all random variables and decision spaces are finite and discrete, here we develop a symbolic way to calculate the expected utilities of influence diagrams that does not require a full numerical representation. Within this approach expected utilities correspond to families of polynomials. After characterizing their polynomial structure, we develop an efficient symbolic algorithm for the propagation of expected utilities through the diagram and provide an implementation of this algorithm using a computer algebra system. We then characterize many of the standard manipulations of influence diagrams as transformations of polynomials. We also generalize the decision analytic framework of these diagrams by defining asymmetries as operations over the expected utility polynomials.



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Orioles: Mike Mussina (51.8%) falls short of election to Baseball Hall of Fame (ESPN)

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Forums

Hello guys,. when I run a testcase with an anonymous inner class in a customcode on the recorder-machine/RPT workbench everything works fine.

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Smile! Hackers Can Remotely Access Your Samsung SmartCam Security Cameras

It's not necessary to break into your computer or smartphone to spy on you. Today all devices in our home are becoming more connected to networks than ever to make our lives easy. But what's worrisome is that these connected devices can be turned against us, anytime, due to lack of stringent security measures and insecure encryption mechanisms implemented in these Internet of Things (IoTs)


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It’s time. The Deep Learning for Computer Vision with Python Kickstarter is LIVE.

dl_ks_header_ks

The Deep Learning for Computer Vision with Python Kickstarter is officially LIVE!

To back the Kickstarter campaign, just use the link below:

http://ift.tt/2jKwk97

Remember, there are only a handful of early bird spots at the reduced prices — you’ll definitely want to act now if you want to claim your spot!

Thank you so much for being supportive of myself and the PyImageSearch blog.

I hope to see you on the other side.

The post It’s time. The Deep Learning for Computer Vision with Python Kickstarter is LIVE. appeared first on PyImageSearch.



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ISS Daily Summary Report – 1/17/2017

Extra-vehicular Mobility Unit (EMU) Loop Scrub:  Today, the crew configured EMUs 3006 and 3008 for loop scrubbing following last week’s EVA. They initiated ionic and particulate filtration (scrubbing) and conducted biocidal maintenance (iodination) on the suit and Airlock cooling water loops.  Samples of the coolant water will be obtained before and after the loop scrub activity to determine the effectiveness of the filtering.  A portion of the water sample was utilized for a conductivity test and the remaining water will be sent to the ground for chemical analysis. Ultra-High Definition (UHD) Camera Test:  The crew setup, configured and performed a test with the UHD camera.  The first 4K live downlink event using the 4K Encoder is currently planned for 01- February. This equipment was delivered to the ISS on HTV-6, and allows real time streaming of 4K UHD video.  Fluid Shifts Baseline Imaging: With assistance of an onboard operator and ground remote guidance, a 48S crewmember performed the second portion of the Return-45 day (R-45) Fluid Shifts experiment.  Ultrasound imaging was taken of arterial and venous measures of the head and neck, cardiac, ophthalmic and portal vein, and tissue thickness of lower and upper body. Additional measurements using the Cerebral and Cochlear Fluid Pressure (CCFP), Distortion Product Otoacoustic Emissions (DPOAE), Optical Coherence Tomography (OCT), ESA’s Cardiolab (CDL) Holter Arterial Blood Pressure Device, and Intraocular Pressure (IOP) using the tonometer were taken as well. Fluid Shifts is a joint NASA- Russian experiment that investigates the causes for severe and lasting physical changes to astronaut’s eyes. Because the headward fluid shift is a hypothesized contributor to these changes, reversing this fluid shift with a lower body negative pressure device is investigated as a possible intervention. Results from this study may help to develop preventative measures against lasting changes in vision and eye damage.  Water Monitoring Suite: In coordination with regular Environmental Health System (EHS) water sampling, the crew performed the Microbial Monitoring System (MMS) portion of the WMS experiment. By using the same water collected for the EHS sample, ground teams can evaluate the capabilities of the new hardware. The crew configured the hardware to sample a low and high DNA concentration sample using the Razor Polymerase Chain Reaction (PCR) Microbial Monitoring System. The WMS is a set of hardware that monitors microbes, silica and organic material in the water supply on the ISS. The hardware ensures crew members can test and monitor the safety of their water supplies on future space missions, especially on long-duration missions to Mars, asteroids or other destinations where Earth-based testing would be difficult or impossible.  Combustion Integration Rack (CIR) Troubleshooting Tool Build: The crew constructed three tools which will be used to identify and manipulate a disengaged fastener on the CIR Chamber Insert Assembly (CIA) Shroud Plate(s). One tool was constructed from Coldplate/Wireway cover Teflon sheets to identify and hook a suspected disengaged fastener on the CIR CIA Shroud Plate. Another tool was constructed from aluminum plates to be used as a guide to allow the disengaged fastener to travel over the window segment of the CIR Combustion Chamber. The last tool was constructed from Teflon and used to guide the other tools into position. The troubleshooting tasks to use these tools is schedule for Wednesday.  H-II Transfer Vehicle 6 (HTV) Cargo Operations:  Yesterday the crew completed 5 hours and 30 minutes of loading trash onto the HTV vehicle.  Ground specialist estimate the crew will need another 3 hours and 30 minutes of cargo operations to complete the vehicle loading.  HTV is scheduled to unberth from the ISS on Friday 27-January-2017.     Today’s Planned Activities All activities were completed unless otherwise noted. MO-8. Preparation Body Mass Measurement – BMMD MO-8 equipment stowage Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Drain Multi-purpose Small Payload Rack (MSPR) /Group Combustion Module (GCM) Component Deactivation Extravehicular Mobility Unit (EMU) Cooling Loop Maintenance Environmental Health System (EHS) Potable Water Dispenser (PWD) Sample Collect PILOT-T. Preparation for the Experiment Fluid Shifts Ultrasound 2 HRF Rack 1 Power On Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Drain Part 2 Fluid Shifts CDL Holter Arterial BP Hardware Don – Subject Fluid Shifts Ultrasound Baseline Scan – Subject PILOT-T. Experiment Operations Total Organic Carbon Analyzer (TOCA) Potable Water Dispenser (PWD) Sample Analysis Fluid Shifts Ultrasound Baseline Scan – Operator Microbial Monitoring System Hardware Gather Microbial Monitoring System MWA Preperation Fluid Shifts USOS Operations Historical Documentation Photography Extravehicular Mobility Unit (EMU) Post Scrub Cooling Loop Water (H2O) Sample Fluid Shifts OCT Baseline Setup Extravehicular Mobility Unit (EMU) Cooling Loop Maintenance Fluid Shifts CCFP Baseline Test – Subject Regenerative Environmental Control and Life Support System (RGN) WSTA Fill Environmental Health System (EHS) Coliform Water Processing Fluid Shifts OCT Baseline Exam Fluid Shifts DPOAE Baseline Test Transfer of Cargo for Removal to Progress No. 433 (DC1). IMS Update Microbial Monitoring System Sample Setup Hardware Gather and Review of the Procedure for [CKB1] Compressor R&R Fluid Shifts Tonometry Baseline Setup Fluid Shifts Tonometry Baseline Exam – Operator Environmental Health System (EHS) Total Organic Carbon Analyzer (TOCA) Sample Data Record Fluid Shifts Tonometry Baseline Exam – Subject Fluid Shifts CDL Holter Arterial BP Hardware Doff – Subject Fluid Shifts Tonometry Baseline Stow Fluid Shifts CCFP Baseline Stow Preparation for Operations with FIT Analyzer and Procedure Review Work Fluid Shifts OCT Baseline Stow Tightening of Quick Disconnect Screw Clamps on DC1-Progress No. 433 Interface Microbial Monitoring System Sample Fluid Shifts Hardware USOS Gather EVA Extravehicular Mobility Unit (EMU) Cooling Loop Scrub Deconfiguration Initiate water transfer from CWC-I to ЕДВ Regenerative Environmental Control and Life Support System (RGN) WSTA Fill Video Recording for “Reading Eugene Onegin” Project Extravehicular Mobility Unit (EMU) Conductivity Test Microbial Monitoring System Data Transfer Terminate water transfer from CWC-I to ЕДВ Fluid Shifts Hardware RSOS Transfer Aquapad Double Water Sampling Photo TV 4K Lab Configuration Fluid Shifts Ultrasound Service Module Setup CONTENT. Experiment Operations Regenerative Environmental Control and Life Support System (RGN) WSTA Fill Station Support Computer (SSC) 17 Reload Preparation Photo […]

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[FD] Announce Keypatch v2.1, a better assembler for IDA Pro!

Greetings, We are happy to release Keypatch v2.1, the open-source award-winning assembler tool for IDA Pro! Based on Keystone engine, this new version of Keypatch brings some important features, as follows. - Added a new function to search for assembly instructions, so it is easy to grep for ROP gadgets in the binary. This will be helpful for exploitation writers. - Removed the "Assembler" function, which is redundant since now you can also do that with the "Search" function above. - Better documentation for Linux & Windows installs. Get Keypatch with all the source code & documentation at http://ift.tt/2cYxtLy. A tutorial for Keypatch is available at http://ift.tt/2jnrqzn Thanks, Quynh http://ift.tt/1Scrjlb http://ift.tt/18OQOjV http://ift.tt/1KJ3yxs

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I have a new follower on Twitter


Salesforce
Connect to your customers in a whole new way. Stay up-to-date on news, announcements, and innovation. On duty Mon - Fri 9am - 5pm PT.
San Francisco, CA
http://t.co/srWxB5LE0U
Following: 20002 - Followers: 321567

January 18, 2017 at 04:04AM via Twitter http://twitter.com/salesforce

8th Street, Ocean City, MD's surf is at least 5.42ft high

Maryland-Delaware, January 24, 2017 at 02:00AM

8th Street, Ocean City, MD Summary
At 2:00 AM, surf min of 5.42ft. At 8:00 AM, surf min of 4.78ft. At 2:00 PM, surf min of 3.39ft. At 8:00 PM, surf min of 2.27ft.

Surf maximum: 6.45ft (1.96m)
Surf minimum: 5.42ft (1.65m)
Tide height: 1.93ft (0.59m)
Wind direction: SSW
Wind speed: 8.4 KTS


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Anonymous Users filtering

Topic Tag: Anonymous Users filtering. Topic; Voices; Replies; Last Post. Anonymous users filters in Hooks.php broken. Started by: wpweaver.

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Tuesday, January 17, 2017

El Paso commissioners express confidence in Sheriff Elder after anonymous charges

Almost three years after scandal ripped through the El Paso County Sheriff's Office, anonymous letters and a recently launched website attacking ...

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From Community Detection to Community Profiling. (arXiv:1701.04528v1 [cs.SI])

Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links. However, membership alone, without a complete profile of what a community is and how it interacts with other communities, has limited applications. This motivates us to consider systematically profiling the communities and thereby developing useful community-level applications. In this paper, we for the first time formalize the concept of community profiling. With rich user information on the network, such as user published content and user diffusion links, we characterize a community in terms of both its internal content profile and external diffusion profile. The difficulty of community profiling is often underestimated. We novelly identify three unique challenges and propose a joint Community Profiling and Detection (CPD) model to address them accordingly. We also contribute a scalable inference algorithm, which scales linearly with the data size and it is easily parallelizable. We evaluate CPD on large-scale real-world data sets, and show that it is significantly better than the state-of-the-art baselines in various tasks.



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Multiobjective Optimization of Solar Powered Irrigation System with Fuzzy Type-2 Noise Modelling. (arXiv:1701.04569v1 [cs.AI])

Optimization is becoming a crucial element in industrial applications involving sustainable alternative energy systems. During the design of such systems, the engineer/decision maker would often encounter noise factors (e.g. solar insolation and ambient temperature fluctuations) when their system interacts with the environment. In this chapter, the sizing and design optimization of the solar powered irrigation system was considered. This problem is multivariate, noisy, nonlinear and multiobjective. This design problem was tackled by first using the Fuzzy Type II approach to model the noise factors. Consequently, the Bacterial Foraging Algorithm (BFA) (in the context of a weighted sum framework) was employed to solve this multiobjective fuzzy design problem. This method was then used to construct the approximate Pareto frontier as well as to identify the best solution option in a fuzzy setting. Comprehensive analyses and discussions were performed on the generated numerical results with respect to the implemented solution methods.



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Une mesure d'expertise pour le crowdsourcing. (arXiv:1701.04645v1 [cs.AI])

Crowdsourcing, a major economic issue, is the fact that the firm outsources internal task to the crowd. It is a form of digital subcontracting for the general public. The evaluation of the participants work quality is a major issue in crowdsourcing. Indeed, contributions must be controlled to ensure the effectiveness and relevance of the campaign. We are particularly interested in small, fast and not automatable tasks. Several methods have been proposed to solve this problem, but they are applicable when the "golden truth" is not always known. This work has the particularity to propose a method for calculating the degree of expertise in the presence of gold data in crowdsourcing. This method is based on the belief function theory and proposes a structuring of data using graphs. The proposed approach will be assessed and applied to the data.



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Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments. (arXiv:1701.04663v1 [cs.AI])

A compact information-rich representation of the environment, also called a feature abstraction, can simplify a robot's task of mapping its raw sensory inputs to useful action sequences. However, in environments that are non-stationary and only partially observable, a single abstraction is probably not sufficient to encode most variations. Therefore, learning multiple sets of spatially or temporally local, modular abstractions of the inputs would be beneficial. How can a robot learn these local abstractions without a teacher? More specifically, how can it decide from where and when to start learning a new abstraction? A recently proposed algorithm called Curious Dr. MISFA addresses this problem. The algorithm is based on two underlying learning principles called artificial curiosity and slowness. The former is used to make the robot self-motivated to explore by rewarding itself whenever it makes progress learning an abstraction; the later is used to update the abstraction by extracting slowly varying components from raw sensory inputs. Curious Dr. MISFA's application is, however, limited to discrete domains constrained by a pre-defined state space and has design limitations that make it unstable in certain situations. This paper presents a significant improvement that is applicable to continuous environments, is computationally less expensive, simpler to use with fewer hyper parameters, and stable in certain non-stationary environments. We demonstrate the efficacy and stability of our method in a vision-based robot simulator.



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Can't enable Page Caching for anonymous users

This may or may not be a bug. I'm unable to enable page caching for anonymous users and can't find the reason. I know that page and block caching ...

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I have a new follower on Twitter


Oliver Christie
Artificial Intelligence. #ai #bigdata #machinelearning
New York
https://t.co/IXd1Sr29G5
Following: 162733 - Followers: 149932

January 17, 2017 at 04:59PM via Twitter http://twitter.com/OliverChristie

Anonymous users filters in Hooks.php broken

I have latest version of Cloudflare plugin. Have Cloudfrare on MANY sites. Recently converted most to use Flexible SSL. All my sites are configured ...

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Anonymous Threaten To Destroy Donald Trump

One group claiming to be stepping up to the plate are hacktivist group Anonymous who have tweeted to claim The Donald has ties with "Russian ...

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ISS Daily Summary Report – 1/16/2017

Japanese-Small Satellite Orbital Deployer-6 (J-SSOD-6) Deployment: Today four deployers, holding six satellites, were grappled by the JEM Remote Manipulator System (JEMRMS) and deployed.  J-SSOD #6 is the first enhanced J-SSOD, which is able to launch twice the amount of satellites when compared to previous deployers. Photos of each satellite deployment were taken by the crew from the Cupola. J-SSOD #6 jettisoned the following experiments in the sequence below: 1st Deployment FREEDOM (1U): Demonstrate a de-orbit devices using a thin-film unfolding mechanism in space WASEDA-SAT3 (1U): Image projection on the surface of a drag chute with a micro-projector ITF-2 (1U): Builds a network for people using satellite data 2nd Deployment EGG (3U): Demonstration to unfold a toroidal infallible structure for aeroshells 3rd Deployment AOBA-Velox-III (2U): A demonstration of Pulsed Plasma Thruster 4th Deployment TuPOD (3U): Deployment of two TubeSat daughter satellites The J-SSOD facility provides a reliable, safe and economically viable means of deploying research small satellites into Earth orbit. Atmospheric and surface monitoring, radio communications testing, and small object and sample return to the ground for testing and analysis are all potential candidates for this facility.  Fluid Shifts – Dilution Measures: The crew initiated the Return – 45 (R45) Fluid Shifts Dilution Measures activities for the last 48S subject.  The subject collected saliva, blood and urine and inserted them into Minus Eighty Degree Celsius Laboratory Freezer for ISS (MELFI) prior to ingesting a Sodium Bromide (NaBr) tracer. Throughout the day, the crew performed more urine, blood, and saliva collections, inserting those samples into MELFI as well. The crew also configured for tomorrow’s Baseline Imaging in the USOS.  Fluid Shifts is divided into three experiment portions – Dilution Measures, Baseline Imaging, and Baseline Imaging with Chibis (Lower Body Negative Pressure).  The Fluid Shifts experiment investigates the causes for severe and lasting physical changes to astronaut’s eyes. Because the head ward fluid shift is a hypothesized contributor to these changes, reversing this fluid shift with a lower body negative pressure device is investigated as a possible intervention. Results from this study may help to develop preventative measures against lasting changes in vision and eye damage.  Synchronized Position Hold, Engage, Reorient, Experimental Satellites (SPHERES) Zero Robotics Dry Run: The crew set up the SPHERES hardware and executed a dry run for the Zero Robotics competition scheduled for January 27, 2017. The SPHERES Zero Robotics investigation establishes an opportunity for high school students to design research for the ISS. As part of a competition, students write algorithms for the SPHERES satellites to accomplish tasks relevant to future space missions. The algorithms are tested by the SPHERES team and the best designs are selected for the competition to operate the SPHERES satellites on board the ISS. Capillary Flow Experiment-2 (CFE-2): The crew prepared a CFE-2 Vane Gap vessel for testing by partially disassembling the vessel, creating special conditions on the vane, and re-assembling the vessel using the Maintenance Work Area (MWA). Because liquids behave differently in space than they do on Earth, containers that can process, hold or transport them must be designed to work in microgravity. The CFE-2 furthers research into the control of liquid behavior aboard spacecraft through wetting and container geometry. Vane Gap experiments identify the critical geometric wetting conditions of a vane structure that does not quite meet the container wall – a construct used in various fluid systems aboard spacecraft such as fuel tanks, thermal systems and water processors for life support. The results of these tests may be used to improve the capability to quickly and accurately predict how related processes such as passive separation of gases from liquids in the absence of gravity occur. Group Combustion: The crew conducted leak checks on JAXA’s Multi-Purpose Small Payload Rack (MSPR) containing the Group Combustion experiment. The crew checked the Gaseous Nitrogen (GN2) supply line and the air supply line of the Combustion Chamber for leaks. The Group Combustion investigation tests a theory that fuel sprays change from partial to group combustion as flames spread across a cloud of droplets. In the MSPR in the Kibo module, droplets of decane, a component of gasoline or kerosene, are arranged randomly on thin-fiber lattice points, and the flame and droplet positions and temperature distribution are measured as the flame spreads. Microgravity blocks convection, which on Earth would quickly disperse the droplets and combustion products before such measurements could be made. Galley Rack Outfitting:  Today, the crew continued with Galley Rack Outfitting. They rotated the NOD1P4 rack and installed a Galley Power Supply, Galley Control Panel and will route the Galley Food Warmer power supply. H-II Transfer Vehicle 6 (HTV) Cargo Operations:  Over the weekend the crew completed 5 hours and 30 minutes of loading trash onto the HTV vehicle.  Ground specialist estimate the crew will need another 4 hours and 30 minutes of cargo operations to complete the vehicle loading.  HTV is scheduled to unberth from the ISS on Friday 27-January-2017.    Treadmill 2 System (T2) Status: Over the weekend ground specialists were able to uplink and apply the GUI Service Pack successfully, and have since resync-ed the CLU with the GUI.  Earlier today the crew disconnected the breakout cable, returned T2 to its nominal configuration and completed a nominal T2 exercise session. Mobile Servicing System (MSS) Operations:  Friday evening, at the completion of EVA 39, the Robotics Ground Controllers mated the Mobile Base System (MBS) Payload and ORU Accommodation (POA) umbilicals to the HTV6 Exposed Pallet (EP) and applied payload power to it.  They also performed the uncaging of the Spare Camera, Light, and PTU Assembly (CLPA) installed during the EVA on the Mobile Transporter Relay Assembly (MTRA) wedge and performed successful checkouts on the Spare CLPA camera unit. Saturday, the Robotics Ground Controllers stowed three Nickel-Hydrogen (NiH2) batteries, 2 batteries were from SPDM and 1 from the Enhanced ORU Temporary Platform (EOTP), on the HTV6 EP.  Today’s Planned Activities All activities were completed unless otherwise noted. Fluid Shifts Saliva Baseline Collection Fluid Shifts Urine Collection Fluid Shifts MELFI Insertion Operations Fluid […]

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I have a new follower on Twitter


360 Healthcare Staff
360 Healthcare Staffing is a premier provider of interim staffing and executive search for leadership & nursing.
Tampa, FL
http://t.co/sLX7RYufSQ
Following: 670 - Followers: 894

January 17, 2017 at 09:49AM via Twitter http://twitter.com/360HCSJobs

ISS Daily Summary Report – 1/13/2017

Extravehicular Activity (EVA) #39: Kimbrough and Pesquet opened the Joint Airlock external hatch at 5:22 am CST in order to perform US EVA #39 (Lithium Ion Battery Remove & Replace (R&R) EVA #2). The EVA installs adapter plates and relocates Channel 1A Nickel Hydride (NiH2) batteries to complete the installation of the new Lithium Ion batteries. The primary objectives for the EVA are as follows: Retrieve Adapter Plate E and F from the Express Pallet (EP) Install Adapter Plate F in Slot 6 Relocate Battery 4 to Adapter Plate F Install Adapter Plate E in Slot 4 Retrieve and Install Adapter Plate D in Slot 2 Fasten H1 Bolts on Li-Ion Batteries in Slots 1 and 5 The crew ingressed the airlock with a final Phase Elapsed Time (PET) for the EVA of  05:58 hours.  In addition to the primary objectives, all get-ahead tasks were also completed as follows: Node 3 Shields Bundle #3 Temp Stow Mobile Transporter Relay Assembly (MTRA) Camera Light Pan and Tilt Assembly (CLPA) Swap Latching End Effector (LEE) A Worksite Interface Fixture (WIF) Adapter R&R S0 aft to Z1 forward (Rat’s Nest) Photo Mapping Secure Solar Array Blanket Boxes (SABB) Restraints Relocate Shields Bundle #2 to Node 3 Channel 1A batteries have been activated and are healthy. Today’s Planned Activities All activities were completed unless otherwise noted. RELAKSATSIYA. Hardware Setup. EVA COTS UHF Communication Unit (CUCU)  USOS Window Shutter Close Extravehicular Activity (EVA) In-Suit Light Exercise (ISLE) Preparation ISS crew and ГОГУ (RSA Flight Control Management Team) weekly conference RELAKSATSIYA. Parameter Settings Adjustment. БД-2 Kits Inventory Audit RELAKSATSIYA. Observation RELAKSATSIYA. Closeout Ops and Hardware Removal. Extravehicular Mobility Unit (EMU) Purge Extravehicular Mobility Unit (EMU) In-Suit Light Exercise (ISLE) Prebreathe Hardware stowage for disposal in Progress 433 (DC1) and IMS updates TIMER. Battery Charge Crewlock Depress Crewlock Post Depress Crewlock Egress T2 Ethernet Check СОЖ maintenance S4 Battery R&R 1A Worksite Preparation S4 Battery R&R Battery Adapter Plates Retrieval S4 Battery R&R Battery Adapter Plate F Installation Audit of FGB interior panel latches Hardware stowage for disposal in Progress 433 (DC1) and IMS updates S4 Battery R&R 1A Battery  4 Relocate S4 Battery R&R Battery Adapter Plate E Installation TIMER. Experiment setup and initiation of video recording S4 Battery R&R Battery Adapter Plate D Retrival & Installation VIZIR. Experiment Ops. US EVA, Cleanup and Crewlock Ingress TIMER. Experiment Ops Video Termination and Cleanup EVA Get-Ahead Tasks EVA Glove Photo Setup A/L Ingress Delta file prep Crewlock Repress Extravehicular Activity (EVA) Crewlock Repress EVA PET end FLUID SHIFTS Big Picture Overview Extra Vehicular Activity (EVA) Post-EVA Activities Return to nominal comm configuration after US EVA EVA Glove Photo Downlink Photo/TV Extravehicular Activity (EVA) Camera Disassembly Photo/TV Extravehicular Activity (EVA) GoPro Downlink Completed Task List Items EVA NOD3 Shield Pack EVA Tool Config MSG-MLC Power Check SSC17 Check Ground Activities All activities were completed unless otherwise noted. Channel 1A Battery activation and checkout Untie Channel 1A and 1B Three-Day Look Ahead: Saturday, 01/14: EVA Debrief, EVA Camera Disassembly, Airlock Deconfig, EMU Recharge Sunday, 01/15: Crew Off Duty Monday, 01/16: Capillary Flow, Fluid Shifts, SPHERES Dry Run, JSSOD Satellite Deploy, Galley Power Supply, EVA Tool Stow QUICK ISS Status – Environmental Control Group:     Component Status Elektron On Vozdukh Manual [СКВ] 1 – SM Air Conditioner System (“SKV1”) Off          [СКВ] 2 – SM Air Conditioner System (“SKV2”) On Carbon Dioxide Removal Assembly (CDRA) Lab Standby Carbon Dioxide Removal Assembly (CDRA) Node 3 Operate Major Constituent Analyzer (MCA) Lab Operate Major Constituent Analyzer (MCA) Node 3 Idle Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Standby Trace Contaminant Control System (TCCS) Lab Off Trace Contaminant Control System (TCCS) Node 3 Full Up  

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Anonymous calls on supporters to help take down Donald Trump

Anonymous, the worldwide hacking group, has once again gone after president-elect Donald Trump. The hackivists, who previously hacked Trump's ...

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8th Street, Ocean City, MD's surf is at least 5.02ft high

Maryland-Delaware, January 23, 2017 at 08:00AM

8th Street, Ocean City, MD Summary
At 2:00 AM, surf min of 4.13ft. At 8:00 AM, surf min of 5.02ft. At 2:00 PM, surf min of 5.63ft. At 8:00 PM, surf min of 5.43ft.

Surf maximum: 5.95ft (1.81m)
Surf minimum: 5.02ft (1.53m)
Tide height: 1.44ft (0.44m)
Wind direction: ESE
Wind speed: 26.36 KTS


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I have a new follower on Twitter


Aimeos
high performance e-commerce components for #Laravel, #SlimPHP, #Symfony, #TYPO3 and #neoscms
worldwide
https://t.co/UGVfqQfgzd
Following: 718 - Followers: 1144

January 17, 2017 at 07:24AM via Twitter http://twitter.com/aimeos

Simple Hack Lets Hackers Listen to Your Facebook Voice Messages Sent Over Chat

Most people hate typing long messages while chatting on messaging apps, but thanks to voice recording feature provided by WhatsApp and Facebook Messenger, which makes it much easier for users to send longer messages that generally includes a lot of typing effort. If you too have a habit of sending audio clip, instead of typing long messages, to your friends over Facebook Messenger, you are


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