Anonymous user 45ca52

Name, Anonymous user 45ca52. User since, March 12, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not ...

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Data analyst in London | Anonymous Recruiter

View details and apply for this data analyst job in London with Anonymous Recruiter on totaljobs. Data Analyst Service Management L ocation: ...

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I have a new follower on Twitter

Joseph DeFazio
Founder of @OkayRelaxLLC, web developer, tech lover, vegan, helping kids of the Philippines in my spare time with True Manila.
New York, USA
https://t.co/66kGI499gZ
Following: 1633 - Followers: 1429

October 07, 2017 at 02:12PM via Twitter http://twitter.com/JosephDeFazio

Anonymous donor gives University of Oregon $50 million

Duck Pond. This is a place where opinions are exchanged in a civilized and serene manner. The flagship board for Oregon Football. Boards ▾ ...

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dotnet/roslyn

Closure causes anonymous type to allocate even if unused #22589. Open. Drawaes opened this Issue 20 minutes ago · 0 comments ...

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ALCOHOLICS ANONYMOUS 208-235-1444 AL-ANON 208-232-2692

ALCOHOLICS ANONYMOUS 208-235-1444 AL-ANON 208-232-2692.

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I have a new follower on Twitter

Flor Rose
Drawing is the honesty of the art. There is no possibility of cheating. It is either good or bad.
Chicago, IL

Following: 378 - Followers: 213

October 07, 2017 at 04:22AM via Twitter http://twitter.com/flor_ork

[FD] CVE-2017-13706, Lansweeper 6.0.100.29 XXE Vulnerability

============================================= - Release date: October 06th, 2017 - Discovered by: Barkın Kılıç, Mehmet Dursun İnce - Severity: High ============================================= I. VULNERABILITY

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Anonymous No active batch

Hi, when I use views data export in batch mode for anonymous users, the batch fails with the error 'No active batch'. I don't have this problem for ...

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Hurricane Tracks from 2017 with Precipitation and Cloud Data

These visualizations show the tracks of Atlantic hurricanes during 2017. Data from the Global Precipitation Mission called IMERG is used to show rainfall and data from NOAA's GOES East shows clouds. Storm position and wind speed data from UNISYS are used to show the track lines. The numbers 1 through 5 as well as "T" are displayed when storms change categories. The "T" stands for tropical storm. There are 2 visualizations at various resoltions: - a wide Atlantic view that shows all of the hurricane tracks - a view that follows and zooms in only on Hurricane Harvey These visualizaitons were created to support NASA talks given at the National Air and Space Musuem (NASM) in October 2017.

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Disqus Hacked: More than 17.5 Million Users' Details Stolen in 2012 Breach

Another day, Another data breach disclosure. This time the popular commenting system has fallen victim to a massive security breach. Disqus, the company which provides a web-based comment plugin for websites and blogs, has admitted that it was breached 5 years ago in July 2012 and hackers stole details of more than 17.5 million users. The stolen data includes email addresses, usernames,

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Enabling Anonymous comments

Plugin features says its support “Anonymous comments”. How do i enable it? I can't see any options for that in settings. Thank you. You must be ...

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University of Oregon receives anonymous $50 million donation

(AP) — University of Oregon President Michael Schill is announcing a new anonymous gift of $50 million in his annual State of the University address.

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ONE LESS GUN

ONE LESS GUN: Anonymous Tip Leads to Recovery of a Firearm in Roslindale: At about 5:15pm, on Thursday, October 5, 2017, members of the ...

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Anonymous Ferrari owner makes dream come true for young cancer survivor

An anonymous gentleman, known as "Ghostrider" in the car scene, heard about Tom and his passion for cars. He was eager to make a dream come ...

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[FD] Nullcon Goa 2018 Call For Papers is Open!

Dear InfoSec Gurus, Nullcon is an annual Information Security Conference held in Goa, India. The focus of the conference is to showcase the next generation of offensive and defensive security technology. We happily open doors to researchers and hackers around the world and the universe, working on the next big thing in security and request everyone to submit their new research. Submission Topics We are interested in new and cutting edge security work that has previously not been published. Anything that aligns with our motto "The next security thing!" is welcome. Some security topics for your reference include, but not limited to IoT, Web, SDN, RFID, Cloud Security, Mobile, Telecom, Satellites, Networks, Forensics, Hardware, Embedded device, ICS/SCADA, Smart Cities, etc. Important Dates CFP Opens: 21st Aug 2017 CFP Closing Date: 15th Nov 2017 Final speakers List online: 1st Dec 2017 Training Dates: 27th Feb - 1st Mar 2018 Conference Dates: 2nd - 3rd Mar 2018 More information about CFP on nullcon DOT net We hope to see you at nullcon Goa 2018. Regards, Nullcon CFP team

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[FD] ESA-2017-111: RSA Archer® GRC Platform Multiple Vulnerabilities

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[FD] ESA-2017-112: EMC Network Configuration Manager Reflected Cross-Site Scripting Vulnerability

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[FD] SmartBear SoapUI - Remote Code Execution via Deserialization

Title: SmartBear SoapUI - Remote Code Execution via Deserialization Author: Jakub Palaczynski Date: 12. July 2017 Exploit tested on: ================== SoapUI 5.3.0 Also works on older versions. Vulnerability: ************** Remote Code Execution via Deserialization: ================================= SoapUI by default listens on all interfaces on TCP port 1198 where you can find SoapUI Integration (RMI) instance. SoapUI uses vulnerable Java libraries (commons-collections-3.2.1.jar and groovy-all-2.1.7.jar) which can be used to remotly execute commands with permissions of user that started SoapUI. Entry point: Java RMI Registry on TCP port 1198 Vulnerable libraries used - commons-collections-3.2.1.jar and groovy-all-2.1.7.jar Proof of Concept: Sample PoC using Commons Collections vulnerable library: java -cp ysoserial-0.0.5-SNAPSHOT.jar ysoserial.exploit.RMIRegistryExploit SOAPUI_IP 1198 CommonsCollections1 'ping OUR_IP' Sample PoC using Groovy vulnerable library: java -cp ysoserial-0.0.5-SNAPSHOT.jar ysoserial.exploit.RMIRegistryExploit SOAPUI_IP 1198 Groovy1 'ping OUR_IP' Mitigations: - bind SoapUI Integration instance to localhost if possible - update all Java libraries that are known to be vulnerable: commons-collections-3.2.1.jar groovy-all-2.1.7.jar Contact: ======== Jakub[dot]Palaczynski[at]gmail[dot]com

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[FD] DefenseCode Security Advisory: Magento Commerce CSRF, Stored Cross Site Scripting #2

             DefenseCode Security Advisory     Magento Commerce CSRF, Stored Cross Site Scripting Advisory ID: DC-2017-09-002 Advisory Title: Magento CSRF, Stored Cross Site Scripting Advisory URL: http://ift.tt/2xWOqfL Software: Magento Commerce, CE Software Language: PHP Version: Magento CE 1 prior to 1.9.3.6, Magento Commerce prior to 1.14.3.6, Magento 2.0 prior to 2.0.16, Magento 2.1 prior to 2.1.9 Vendor Status: Vendor contacted / Fixed Release Date: 2017-10-04 Risk: Medium 1. General Overview =================== During the security audit of Magento Community Edition / Open Source and Commerce, a Cross-site Request Forgery and Stored Cross-Site Scripting vulnerabilities were discovered that could lead to administrator account takeover, putting the website customers and their payment information at risk. 2. Software Overview ==================== Magento is an ecommerce platform built on open source technology which provides online merchants with a flexible shopping cart system, as well as control over the look, content andfunctionality of their online store. Magento offers powerful marketing, search engine optimization, and catalog-management tools. It is a leading enterprise-class eCommerce platform, empowering over 200,000 online retailers. Homepage: http://www.magento.com 3. Vulnerability Description ================================== There is a Cross-Site Request Forgery vulnerability present in Newsletter Templates when a POST request is changed to GET on saving changes on existing or adding new templates (/newsletter/template/save/). When the request method is switched, the lack of form_key parameter which serves as a CSRF token is completely ignored. Considering that Newsletter templates accept HTML code, a malicious JavaScript code can be saved as a template and previewed on /newsletter/template/preview/id/1/ An attacker can chain a CSRF attack to redirecting an admin to the preview page. Malicious code may lead to admin session hijacking (although the admin SID cookie is set to HttpOnly, there are number of ways to retrieve the admin SID on Magento that do not require cookies). Prerequisite to this attack is that "Add Secret Keys to URLs" option is disabled. Proof of concept CSRF + Stored Cross-Site Scripting attack can be seen here: http://ift.tt/2xWOqfL 4. Solution =========== Vendor fixed the reported security issues and released a new version in September 2017. All users are strongly advised to update to the latest available version. http://ift.tt/2h6hvgI 5. Credits ========== Discovered by Bosko Stankovic (bosko@defensecode.com)   6. Disclosure Timeline ====================== 05/05/2017    Vendor contacted 09/14/2017    Issue fixed, patch released 10/04/2017    Advisory released to the public 7. About DefenseCode ==================== DefenseCode L.L.C. delivers products and services designed to analyze and test web, desktop and mobile applications for security vulnerabilities. DefenseCode ThunderScan is a SAST (Static Application Security Testing, WhiteBox Testing) solution for performing extensive security audits of application source code. ThunderScan SAST performs fast and accurate analyses of large and complex source code projects delivering precise results and low false positive rate. DefenseCode WebScanner is a DAST (Dynamic Application Security Testing, BlackBox Testing) solution for comprehensive security audits of active web applications. WebScanner will test a website's security by carrying out a large number of attacks using the most advanced techniques, just as a real attacker would. Subscribe for free software trial on our website http://ift.tt/Vn2J4r . Magento CSRF, Stored Cross Site Scripting Advisory ID: DC-2017-09-002 Advisory Title: Magento CSRF, Stored Cross Site Scripting Advisory URL: http://ift.tt/2xWOqfL Software: Magento Commerce, CE Software Language: PHP Version: Magento CE 1 prior to 1.9.3.6, Magento Commerce prior to 1.14.3.6, Magento 2.0 prior to 2.0.16, Magento 2.1 prior to 2.1.9 Vendor Status: Vendor contacted / Fixed Release Date: 2017-10-04 Risk: Medium 1. General Overview =================== During the security audit of Magento Community Edition / Open Source and Commerce, a Cross-site Request Forgery and Stored Cross-Site Scripting vulnerabilities were discovered that could lead to administrator account takeover, putting the website customers and their payment information at risk. 2. Software Overview ==================== Magento is an ecommerce platform built on open source technology which provides online merchants with a flexible shopping cart system, as well as control over the look, content andfunctionality of their online store. Magento offers powerful marketing, search engine optimization, and catalog-management tools. It is a leading enterprise-class eCommerce platform, empowering over 200,000 online retailers. Homepage: http://www.magento.com 3. Vulnerability Description ================================== There is a Cross-Site Request Forgery vulnerability present in Newsletter Templates when a POST request is changed to GET on saving changes on existing or adding new templates (/newsletter/template/save/). When the request method is switched, the lack of form_key parameter which serves as a CSRF token is completely ignored. Considering that Newsletter templates accept HTML code, a malicious JavaScript code can be saved as a template and previewed on /newsletter/template/preview/id/1/ An attacker can chain a CSRF attack to redirecting an admin to the preview page. Malicious code may lead to admin session hijacking (although the admin SID cookie is set to HttpOnly, there are number of ways to retrieve the admin SID on Magento that do not require cookies). Prerequisite to this attack is that "Add Secret Keys to URLs" option is disabled. Proof of concept CSRF + Stored Cross-Site Scripting attack can be seen here: http://ift.tt/2xWOqfL 4. Solution =========== Vendor fixed the reported security issues and released a new version in September 2017. All users are strongly advised to update to the latest available version. http://ift.tt/2h6hvgI 5. Credits ========== Discovered by Bosko Stankovic (bosko@defensecode.com)   6. Disclosure Timeline ====================== 05/05/2017    Vendor contacted 09/14/2017    Issue fixed, patch released 10/04/2017    Advisory released to the public 7. About DefenseCode ==================== DefenseCode L.L.C. delivers products and services designed to analyze and test web, desktop and mobile applications for security vulnerabilities. DefenseCode ThunderScan is a SAST (Static Application Security Testing, WhiteBox Testing) solution for performing extensive security audits of application source code. ThunderScan SAST performs fast and accurate analyses of large and complex source code projects delivering precise results and low false positive rate. DefenseCode WebScanner is a DAST (Dynamic Application Security Testing, BlackBox Testing) solution for comprehensive security audits of active web applications. WebScanner will test a website's security by carrying out a large number of attacks using the most advanced techniques, just as a real attacker would. Subscribe for free software trial on our website http://ift.tt/Vn2J4r .

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U.S. Believes Russian Spies Used Kaspersky Antivirus to Steal NSA Secrets

Do you know—United States Government has banned federal agencies from using Kaspersky antivirus software over spying fear? Though there's no solid evidence yet available, an article published by WSJ claims that the Russian state-sponsored hackers stole highly classified NSA documents from a contractor in 2015 with the help of a security program made by Russia-based security firm Kaspersky Lab

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Agendas amp Minutes Alpena County Property Tax Search Anonymous Crime Tip Area Maps ...

Agendas amp Minutes Alpena County Property Tax Search Anonymous Crime Tip Area Maps Assessing Property Information Building Permit ...

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ISS Daily Summary Report – 10/05/2017

USOS Extra Vehicular Activity (EVA) #44: Today Randy Bresnik (as EV1) and Mark Vande Hei (as EV2) exited the airlock and successfully performed US EVA #44 with a Phased Elapsed Time (PET) of 6:55. The primary goal of today’s EVA was to remove the degraded Latching End Effector (LEE) A from the Space Station Robotic Manipulator System (SSRMS), replace it with the LEE that is currently located on the Payload/ORU Accommodation (POA), and install the degraded LEE onto the POA.  LEE-A had exhibited significantly increased resistance to latch deployment during recent robotics activities prompting today’s replacement. Today’s EVA brought the SSRMS back to full capability.  Fine Motor Skills (FMS): This morning, a 51S crewmember conducted a Flight Day 70 FMS session, which is executed on a touchscreen tablet, where the subject performs a series of interactive tasks. The investigation studies how fine motor skills are affected by long-term microgravity exposure, different phases of microgravity adaptation, and sensorimotor recovery after returning to Earth gravity. The goal of FMS is to answer how fine motor performance in microgravity trend/vary over the duration of a six-month and year-long space mission; how fine motor performance on orbit compare with that of a closely matched participant on Earth; and how performance trend/vary before and after gravitational transitions, including the periods of early flight adaptation, and very early/near immediate post-flight periods.  MagVector:  The crew completed the 14th experiment run of the MagVector investigation that began last week. The European Space Agency (ESA) MagVector investigation studies how Earth’s magnetic field interacts with an electrical conductor. Using extremely sensitive magnetic sensors placed around and above a conductor, researchers can gain insight into ways that the magnetic field influences how conductors work. This research not only helps improve future International Space Station experiments and electrical experiments, but it could offer insights into how magnetic fields influence electrical conductors in general, the backbone of our technology.  Biological Experiment Laboratory in Columbus (BioLab) Temperature Control Unit Cleaning and Silica Bag Exchange: The crew cleaned the Biolab TCUs and exchanged the silica gel bags for TCUs 1 and 2. The BioLab is a multiuser research facility located in the European Columbus laboratory. The facility is used to perform space biology experiments on microorganisms, cells, tissue cultures, small plants, and small invertebrates. BioLab allows scientists to gain a better understanding of the effects of microgravity and space radiation on biological organisms. Today’s Planned Activities All activities were completed unless otherwise noted. Extravehicular Activity (EVA) Reminder for EVA In-Suit Light Exercise (ISLE) Preparation ISS HAM Radio and Video Power Down EVA COTS UHF Communication Unit (CUCU)  Verify off USOS Extravehicular Activity (EVA) Communication Configuration USOS Window Shutter Close Extravehicular Activity (EVA) In-Suit Light Exercise (ISLE) Preparation Monitoring shutter closure on SM windows 6, 8, 9, 12, 13, 14 RELAKSATSIYA.  Charging battery for Relaksatstiya experiment (initiate) Acoustic Dosimeter Setup Day 3 Photography of EV hatch windows 1, 2 in MRM2 and DC1 Fine Motor Skills Experiment Test – Subject UDOD. Experiment Ops with DYKNANIYE-1 and SPRUT-2 Sets Extravehicular Mobility Unit (EMU) Purge Extravehicular Mobility Unit (EMU) In-Suit Light Exercise (ISLE) Prebreathe USB Jumpdrive Return and PPS Reconfiguration Biolab TCU Cleaning and Silica Bag Exchange UDOD. Photography of the Experiment Session Crewlock Depress Flushing БКО for Condensate Water Recovery System [СРВ-К2М] and Elektron-VM Oxygen Supply system [СКО] / БКО (Water Purification Column Unit) Crewlock Post Depress Crewlock Egress Maintenance Activation of Spare Vozdukh Atmosphere Purification System Emergency Vacuum Valves [АВК СОА] СОЖ maintenance Degraded LEE (Latching End Effector) Removal RELAKSATSIYA. Parameter Settings Adjustment Food Consolidate NAPOR-mini RSA. Cleaning Onboard Memory Storage БЗУ-М vents Degraded LEE (Latching End Effector) Temporary Stow POA (Payload ORU Accommodation) LEE (Latching End Effector) Retrieval Soyuz 734 IRIDIUM phone charge, setup, start charge POA (Payload ORU Accommodation) LEE (Latching End Effector) Install on SSRMS Charging Soyuz 734 IRIDIUM Phone – Battery Status Check Soyuz 734 IRIDIUM Phone Charge, Terminate Charge CALCIUM. Experiment Session 6 Soyuz 736 IRIDIUM Phone Charge, Initiate Charge Water Recovery System Waste Water Tank Drain Init Charging Soyuz 736 IRIDIUM Phone, Battery Status Check Soyuz 736 IRIDIUM Phone Charge, Terminate Charge, Teardown of the Setup Photo documenting LAB1S4 Active Rack Isolation System (ARIS) Snubber Assemblies and Snubber Cups Degraded LEE (Latching End Effector) Retrieve from Temporary Stowage Degraded LEE (Latching End Effector) Install on POA (Payload ORU Accommodation) Water Recovery System Waste Water Tank Drain Termination IMS Update INTERACTION-2. Experiment Ops Regenerative Environmental Control and Life Support System (RGN) Wastewater Storage Tank Assembly (WSTA) Fill Cleanup and Ingress Crewlock Ingress EVA Glove Photo Setup Crewlock Pre Repress Crewlock Repress Extra Vehicular Activity (EVA) Post-EVA Activities Post Extravehicular Activity (EVA) Communication Deconfiguration EVA Glove Photo Downlink Extravehicular Activity (EVA) Camera Image Downlink Photo/TV Extravehicular Activity (EVA) GoPro Downlink Metal Oxide (METOX) Regeneration Initiation Completed Task List Activities Verify the correct Vacuum Cleaner Debris Bags are installed in each Wet/Dry Vacuum Cleaner. [Evening GMT 277] Remove and replace the Solid Waste Container  Ground Activities All activities were completed unless otherwise noted. EVA support. Three-Day Look Ahead: Friday, 10/06: Eye Exams, EVA: Debrief, Tool Gather, and Procedure Review, STPH5 Photo, Insitu, BEAM IMV Insp, Meteor H/D Swap Saturday, 10/07: EVA Tool Config, DOUG Review, EVA Procedure Review Sunday, 10/08: US EVA 45 Procedure Review, Crew Off Duty 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 Operate Carbon Dioxide Removal Assembly (CDRA) Node 3 Operate Major Constituent Analyzer (MCA) Lab Idle Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Process Trace Contaminant Control System (TCCS) Lab Full Up Trace Contaminant Control System (TCCS) Node 3 Off  

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Apple Allows Uber to Use a Powerful Feature that Lets it Record iPhone Screen

If you are an iPhone user and use Uber app, you would be surprised to know that widely popular ride-hailing app can record your screen secretly. Security researcher Will Strafach recently revealed that Apple selectively grants (what's known as an "entitlement") Uber a powerful ability to use the newly introduced screen-recording API with intent to improve the performance of the Uber app on

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Apple macOS High Sierra Bug Exposes Passwords of Encrypted APFS Volumes As Hint

A severe programming error has been discovered in Apple's latest macOS High Sierra 10.13 that exposes passwords of encrypted Apple File System (APFS) volumes in plain text. Reported by Matheus Mariano, a Brazilian software developer, the vulnerability affects encrypted volumes using APFS wherein the password hint section is showing the actual password in the plain text. Yes, you got that right—

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The Brown Ocean Effect

In several regions of the world, tropical cyclones have been known to maintain or increase strength after landfall without transitioning to extratropical systems. It is hypothesized that these inland areas help sustain tropical cyclones when there has been plentiful rainfall, leading to unusually wet soil and strong latent heat release. Additionally, given the symmetric structure of warm-core cyclones, the atmosphere should tend toward barotropic conditions that mimic an ocean environment. Observational and modeling studies support this "brown ocean" concept, providing a global climatology of inland tropical cyclones, pinpointing regions that are more favorable for re-intensification, and analyzing individual cyclones to better understand the associated land-atmosphere feedbacks.

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Global Aurora at Mars

A strong solar event last month triggered intense global aurora at Mars. Before (left) and during (right) the solar storm, these projections show the sudden increase in ultraviolet emission from martian aurora, more than 25 times brighter than auroral emission previously detected by the orbiting MAVEN spacecraft. With a sunlit crescent toward the right, data from MAVEN's ultraviolet imaging spectrograph is projected in purple hues on the night side of Mars globes simulated to match the observation dates and times. On Mars, solar storms can result in planet-wide aurora because, unlike Earth, the Red Planet isn't protected by a strong global magnetic field that can funnel energetic charged particles toward the poles. For all those on the planet's surface during the solar storm, dangerous radiation levels were double any previously measured by the Curiosity rover. MAVEN is studying whether Mars lost its atmosphere due to its lack of a global magnetic field. via NASA http://ift.tt/2fMTEm8

GrantAdvisor.org: Anonymous Reviews of Foundations

What It Is GrantAdvisor.org is a new website that allows for anonymous reviews of foundations, a critical missing piece in the funder-grantee dynamics.

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FormBook—Cheap Password Stealing Malware Used In Targeted Attacks

It seems sophisticated hackers have changed the way they conduct targeted cyber operations—instead of investing in zero-days and developing their malware; some hacking groups have now started using ready-made malware just like script kiddies. Possibly, this could be a smart move for state-sponsored hackers to avoid being attributed easily. Security researchers from multiple security firms,

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Education Association of Passaic

ANONYMOUS. DONATION: $5. 3 hours ago. Gina Karlicki. Karlicki Family 3 hours ago. Chloe Kim. 3 hours ago. ANONYMOUS. DONATION: $10.

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Ravens: CB Jimmy Smith, DT Brandon Williams among players missing practice Thursday (ESPN)

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ISS Daily Summary Report – 10/04/2017

Radiation Dosimetry Inside ISS-Neutron (RaDI-N) Retrieval:  Today a USOS crewmember retrieved all 8 of the Space Bubble Detectors that were deployed last week for the RaDI-N experiment, and transferred them to the Russian crewmember for processing in the Bubble Reader. This Canadian Space Agency (CSA) RaDI-N investigation measures neutron radiation levels while onboard the ISS.  Bubble detectors are used as neutron monitors designed to only detect neutrons and ignore all other radiation. Extra Vehicular Activity (EVA) preparations:  Today the crew performed EVA tether inspections, tool configurations, cuff checklist printing, scheduled health checkups, and procedure reviews in preparation for the tomorrow’s EVA.  The primary goal of tomorrow’s EVAs is to Remove and Replace (R&R) a Space Station Remote Manipulator System (SSRMS) Latching End Effector (LEE) which had been exhibiting some anomalies in its operation. Lab Carbon Dioxide Removal Assembly (CDRA) Blower Speed Test – Today, ground controllers began a 7 day test of the Lab CDRA using higher blower speeds. The CDRA blower speed will be gradually increased to determine the ability of the CDRA blower to operate at increased speeds without triggering software responses to excessive speed and to evaluate impacts of elevated speed to the blower. Today’s Planned Activities All activities were completed unless otherwise noted. Preventive Maintenance of FS1 Laptop (Cleaning and rebooting) Health Maintenance System (HMS) Periodic Health Status (PHS) Pre EVA Examination Monthly BRI Cleaning RELAКSATSIYA. Charging battery for Relaksatstiya experiment (initiate) Health Maintenance System (HMS) Periodic Health Status (PHS) Evaluation Acoustic Dosimeter Setup Day 2 Public Affairs Office (PAO) High Definition (HD) Config LAB Setup Relocate PBAs for upcoming EVA Live TV Conference with VKontakte Hostess US Extravehicular Activity (EVA) Tether Inspection BIOCARD. Operator Assistance During the Experiment BIOCARD. Experiment Session Extravehicular Activity (EVA) Tool Configuring Extravehicular Mobility Unit (EMU) Cuff Checklist Print Extravehicular Activity (EVA) Tool Audit. Onboard Training (OBT) Robotics On-board Trainer (ROBoT) Setup Public Affairs Office (PAO) Social Media Event Intermodular TORU Test with Mated Progress 436 Scheduled monthly maintenance of Central Post Laptop. Laptop log-file downlink via OCA Extravehicular Activity (EVA) Procedure Review СОЖ maintenance Extravehicular Activity (EVA) Procedure Conference MATRYOSHKA-R. BUBBLE-Dosimeter Retrieval And Readout ISS HAM Video Color Bar and Tone Deactivation CONTENT. Experiment Ops Radi-N Detector Retrieval/Readout Radiation Dosimetry Inside ISS-Neutrons Hardware Handover RELAKSATSIYA. Hardware Setup MATRYOSHKA-R. Handover of BUBBLE-dosimeters from USOS Station Support Computer (SSC) 9/17 Laptop Relocate for EVA Portable Onboard Computers (POC) Dynamic Onboard Ubiquitous Graphics (DOUG) Setup HRF2 Supply Kit Inventory Delta file prep RELAKSATSIYA. Parameter Settings Adjustment PELLE Data Download & placement before EVA RELAKSACIA. Observation Equipment Lock (E-LK) Preparation RELAKSATSIYA. Closeout Ops and Hardware Removal  Completed Task List Activities Crew Support LAN (CSL) 1 hard drive swap and client reload [Active] Ground Activities All activities were completed unless otherwise noted. CDRA blower speed test Commanding for EVA preparation Periodic Lab CDRA checkout Three-Day Look Ahead: Thursday, 10/05: US EVA 44: LEE-A R&R Friday, 10/06: Eye Exams, EVA Debrief, EVA Preps, STPH5 Photo, Insitu, BEAM IMV Insp, Meteor H/D Swap Saturday, 10/07: EVA Tool Config, DOUG Review, EVA Procedure Review 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 Idle Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Standby Trace Contaminant Control System (TCCS) Lab Full up Trace Contaminant Control System (TCCS) Node 3 Off  

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Anonymous user 64e02f

Name, Anonymous user 64e02f. User since, October 5, 2017. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not ...

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Greek Court Approves US Extradition of BTC-e Operator In $4 Billion Money Laundering Case

A Greek court has approved the U.S. extradition of a 38-year-old Russian national accused of laundering more than $4 billion in bitcoin for culprits involved in hacking attacks, tax fraud and drug trafficking with the help of the now-defunct BTC-e exchange. Alexander Vinnik, an alleged operator of BTC-e—a digital currency exchange service that has been in operation since 2011 but seized by

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Apache Tomcat Patches Important Remote Code Execution Flaw

The Apache Tomcat team has recently patched several security vulnerabilities in Apache Tomcat, one of which could allow an unauthorised attacker to execute malicious code on affected servers remotely. Apache Tomcat, developed by the Apache Software Foundation (ASF), is an open source web server and servlet system, which uses several Java EE specifications like Java Servlet, JavaServer Pages (

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Spanish Court Agrees to Extradite Russian Spam King to the United States

Spain's National Court ruled on Tuesday to extradite a 36-year-old Russian computer programmer, accused by American authorities of malicious hacking offences, to the United States, according to a court document. Peter Yuryevich Levashov, also known as Peter Severa, was arrested in April this year when he was travelling with his family to Barcelona, Spain from his home in Russia—a country

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Pluto s Bladed Terrain

Imaged during the New Horizons spacecraft flyby in July 2015, Pluto's bladed terrain is captured in this close-up of the distant world. The bizarre texture belongs to fields of skyscraper-sized, jagged landforms made almost entirely of methane ice, found at extreme altitudes near Pluto's equator. Casting dramatic shadows, the tall, knife-like ridges seem to have been formed by sublimation. By that process, condensed methane ice turns directly to methane gas without passing through a liquid phase during Pluto's warmer geological periods. On planet Earth, sublimation can also produce standing fields of knife-like ice sheets, found along the high plateau of the Andes mountain range. Known as penitentes, those bladed structures are made of water ice and at most a few meters tall. via NASA http://ift.tt/2hLJZQU

I have a new follower on Twitter

Allan McKay
Award winning VFX Supervisor/Director, writer and Entrepreneur, owner of Catastrophic FX film studio and awarded public speaker - http://t.co/Q6BwDU35xI
Los Angeles
http://t.co/Q6BwDU35xI
Following: 7799 - Followers: 12014

October 04, 2017 at 09:45PM via Twitter http://twitter.com/allanftmckay

I have a new follower on Twitter

Kerwin McKenzie
Loyalty Luxury Traveler | Speaker | Author | Visiting every country: 120/194. Airlines flown: 168. https://t.co/PpR6WoIQOL https://t.co/eCcTnEj9B6
Gather No Moss
https://t.co/Uty9brzR63
Following: 5618 - Followers: 8585

October 04, 2017 at 05:50PM via Twitter http://twitter.com/loyaltytravels

Child Pornography Charges Laid Thanks to Anonymous Tipsters

An Oro Medonte man faces Child Pornography-related charges after two anonymous tips came to Barrie Police. Investigators were alerted in August ...

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Audrey (Century Meeting)

Audrey (Century Meeting). October 4, 2017 L M. Audrey (Century Meeting). OASF. Share. 0 Likes. Irene (Century Meeting) → · MEETINGS EVENTS ...

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Ravens to log enough miles in two weeks to travel halfway around the globe - Jamison Hensley (ESPN)

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Motion Graphics artist wanted - full-time Midwest at Anonymous

A small but well-established video company (live-action production, editing, motion graphics, vfx, color grading) in the Midwest is looking for a full-time ...

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▶ Joe Flacco says offense needs to play freely and "let it loose" (ESPN)

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I have a new follower on Twitter

SlashNext
#SlashNext: The world’s first Internet Access Protection System. Protecting users & systems every time they connect to the Internet #CyberDefense #CyberSecurity
Global
https://t.co/g5vcq1ksT3
Following: 2580 - Followers: 2306

October 04, 2017 at 12:35PM via Twitter http://twitter.com/slashnextinc

NY Considers Ban On Anonymous Political Facebook Ads

A Democratic State Senator says his proposal would discourage false or misleading ads while informing citizens about those trying to influence their ...

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ISS Daily Summary Report – 10/03/2017

VEG-03 Operations: Today the crew continued to conduct Veg-03 operations that began last week by thinning out the plants to one plant per pillow, in order to promote growth of the larger plants. The crew then watered the plant pillows. The crew will now begin the autonomous space gardening phase of the experiment.  The Veg-03 investigation uses the Veggie plant growth facility to cultivate a type of cabbage, lettuce, and mizuna. The first crew consumption harvest should be in about 3-4 weeks.  Organisms grow differently in space, from single-celled bacteria to plants and humans. Future long-duration space missions will require crew members to grow their own food, so understanding how plants respond to microgravity is an important step toward that goal.  Cell Biology Experiment Facility (CBEF) Configuration Change: Following the completion of last month’s Multi-Omics Mouse investigation, today the crew continued to perform closeout activities by changing the configuration of the CBEF from the Multi-Omics configuration, back to its nominal configuration. The CBEF is a Japan Aerospace Exploration Agency (JAXA) sub rack facility located in the Saibo (living cell) Experiment Rack. The CBEF is used in various life science experiments, such as cultivating cells and plants in the Japanese Experiment Module (JEM) and consists of an incubator and control equipment for control and communications.  Clean Bench (CB) Valve Checkout: The crew conducted standard maintenance on the CB relief valves and the microscope stage clips, located inside the Saibo Rack. This maintenance activity is performed every 6 months to prevent the valves from sticking. The CB is a glovebox with a High-Efficiency Particulate Air (HEPA) filter and a high-performance optical microscope. Story Time from Space: Two crewmembers participated in the Story Time from Space activity by reading “Max Goes to Mars” and “Sunset” on camera. The video recordings will be downlinked and used for educational purposes. 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. Extra Vehicular Activity (EVA) Preparations:  EVA preparations continued today with setup of Dynamic Onboard Ubiquitous Graphics (DOUG) and camera configuration and battery charging.  A trio of EVAs will begin with the Latching End Effector (LEE) R&R EVA on Thursday.  Eye Exams:  Two crewmembers underwent eye exams using the onboard ultrasound device.  Periodic eye exams are critical for monitoring crew health. Today’s Planned Activities All activities were completed unless otherwise noted. Acoustic Dosimeter Reminder Virus Definition File Update on Auxiliary Computer System (ВКС) Laptops Filling (separation) of ЕДВ (КОВ) for Elektron or ЕДВ-СВ Cell Biology Experiment Facility (CBEF) Configuration Change 2 HRF1 PC 3 USB Installation Acoustic Dosimeter Setup Day 1 Photo TV EVA Go Pro Battery Charging LAB1S3 CIR Rack Lower Right Snubber R&R СОЖ maintenance Clean Bench (CB) Valve Checkout PROFILAKTIKA-2. Preparation for the experiment. Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Drain PROFILAKTIKA-2. Operator Assistance in Preparation for the Experiment JEM CTB Consolidation for OA-8 Part 1 [Aborted] CBEF Temp Controller Ethernet Cable Disconnection Ultrasound 2 HRF Rack 1 Setup And Power On PROFILAKTIKA-2. Experiment Ops on БД-2 Treadmill (Individual Strategy Test) Verification of ИП-1 Flow Sensor Position ПРОФИЛАКТИКА-2. Заключительные операции Public Affairs Office (PAO) Social Media Event PROFILAKTIKA-2. Closeout Ops Health Maintenance System (HMS) Ultrasound 2 Scan JEM CTB Consolidation for OA-8 Part 2 Ultrasound 2 Guided Data Export VEG-03 Plant Thin Regenerative Environmental Control and Life Support System (RGN) Wastewater Storage Tank Assembly (WSTA) Fill Station Support Computer (SSC) Client Power On VEG-03 Plant Pillow Prime. VIZIR. Preparation Steps. URAGAN. Observation and photography using photo equipment Life On The Station Photo and Video TOTAL ORGANIC CARBON ANALYZER (TOCA) FUNCTIONAL CHECKOUT Preventive Maintenance of SM Ventilation Subsystem. Group А Portable Onboard Computers (POC) Dynamic Onboard Ubiquitous Graphics (DOUG) Software Review Extravehicular Activity (EVA) Node 1 Vacuum Access Port (VAP) Check Extravehicular Activity (EVA) Procedures Print Photo/TV Extravehicular Activity (EVA) Camera Configuration ISS HAM Video Color Bar and Tone Activation ISS HAM Service Module Pass Story Time Book Max Goes To Mars Translation Read Photo TV GoPro Setup Regenerative Environmental Control and Life Support System (ECLSS) Recycle Tank Fill VIZIR. Closeout Ops Robotic Workstation (RWS) Setup Reconfigure Galley Rack at NOD1S4 Location [Aborted] Story Time Sunset Book Read On-Orbit Hearing Assessment (O-OHA) with EarQ Software Setup and Test Public Affairs Office (PAO) Educational Imagery Recording TV conference with the participants of “Cosmos 360” Project (Ku+S-band) IMS Update Total Organic Carbon Analyzer (TOCA) Protoflight Unit #3 (PFU3) Close Out  Completed Task List Activities Extravehicular (EVA) Disposable in Suit Drink Bag (DIDB) Audit Manufacturing Device Print Removal and Stow Maintenance Work Area Relocate Ground Activities All activities were completed unless otherwise noted. IMS Upgrade Standard commanding Three-Day Look Ahead: Wednesday, 10/04: EVA Tool Config, EVA Procedure Review, HRF2 Inventory Thursday, 10/05: US EVA 44: LEE-A R&R Friday, 10/06: Eye Exams, EVA Debrief, EVA Preps, STPH5 Photo, Insitu, BEAM IMV Insp, Meteor H/D Swap 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 Idle Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Standby Trace Contaminant Control System (TCCS) Lab Full up Trace Contaminant Control System (TCCS) Node 3 Off  

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High anonymous vpn for free

Anonymous VPN & Proxy Service allows for Bulletproof Security. TorGuard. TorGuard Stealth Proxy; 3000+ Servers in 55+ Countries; FREE 24/7 365 ...

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Anonymous user e7ff8a

Name, Anonymous user e7ff8a. User since, May 27, 2016. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not yet ...

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incoming call show anonymous

Hello, Could anyone advise me why my 3CX when get incoming call it show anonymous? the gatewar is Beronet. Thanks in advance.

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Team Anonymous

Travian: Legends Forum »; Members ». Team Anonymous. Member since Oct 4th 2017. Last Activity: A moment ago , Reading thread [ITX] PUB del ...

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I have a new follower on Twitter

Grotez Farnugen
Everything threat and counter intelligence
Sydney, New South Wales, Australia
https://t.co/uEzfg8BrEC
Following: 1774 - Followers: 154

October 04, 2017 at 04:55AM via Twitter http://twitter.com/Grotezinfosec

The Soul Nebula in Infrared from Herschel

Stars are forming in the Soul of the Queen of Aethopia. More specifically, a large star forming region called the Soul Nebula can be found in the direction of the constellation Cassiopeia, who Greek mythology credits as the vain wife of a King who long ago ruled lands surrounding the upper Nile river. The Soul Nebula houses several open clusters of stars, a large radio source known as W5, and huge evacuated bubbles formed by the winds of young massive stars. Located about 6,500 light years away, the Soul Nebula spans about 100 light years and is usually imaged next to its celestial neighbor the Heart Nebula (IC 1805). The featured image, impressively detailed, was taken last month in several bands of infrared light by the orbiting Herschel Space Observatory. via NASA http://ift.tt/2xMXJBn

Anonymous - Function Sales Manager

Anonymous - Function Sales Manager – Boston Restaurant Jobs - BostonChefs.com's Industry Insider, the best jobs at Boston restaurants.

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It's 3 Billion! Yes, Every Single Yahoo Account Was Hacked In 2013 Data Breach

The largest known hack of user data in the history just got tripled in size. Yahoo, the internet company that's acquired by Verizon this year, now believes the total number of accounts compromised in the August 2013 data breach, which was disclosed in December last year, was not 1 billion—it's 3 Billion. Yes, the record-breaking Yahoo data breach affected every user on its service at the

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[FD] SSD Advisory – Horde Groupware Unauthorized File Download

SSD Advisory – Horde Groupware Unauthorized File Download Full report: http://ift.tt/2xNA5oe Twitter: @SecuriTeam_SSD Weibo: SecuriTeam_SSD Vulnerability Summary The following advisory describes an unauthorized file download vulnerability found in Horde Groupware version 5.2.21. Horde Groupware Webmail Edition is “a free, enterprise ready, browser based communication suite. Users can read, send and organize email messages and manage and share calendars, contacts, tasks, notes, files, and bookmarks with the standards compliant components from the Horde Project. Horde Groupware Webmail Edition bundles the separately available applications IMP, Ingo, Kronolith, Turba, Nag, Mnemo, Gollem, and Trean.” Credit An independent security researcher, Juan Pablo Lopez Yacubian, has reported this vulnerability to Beyond Security’s SecuriTeam Secure Disclosure program. Vendor response Horde Groupware was informed of the vulnerability, to which they response with: “this has already been reported earlier by someone else, and is already fixed in the latest Gollem and Horde Groupware releases. Besides that, it’s not sufficient to have a list of the server’s users, you also need to exactly know the file name and path that you want to download. Finally, this only works on certain backends, where Horde alone is responsible for authentication, i.e. it won’t work with backends that require explicit authentication.”

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[FD] SSD Advisory – Mac OS X 10.12 Quarantine Bypass

SSD Advisory – Mac OS X 10.12 Quarantine Bypass Full report: http://ift.tt/2xGiGLw Twitter: @SecuriTeam_SSD Weibo: SecuriTeam_SSD Vulnerability summary Mac OS X contains a vulnerability that allows bypassing of the Apple Quarantine and the execution of arbitrary JavaScript code without any restrictions. Credit A security researcher from WeAreSegment, Filippo Cavallarin, has reported this vulnerability to Beyond Security’s SecuriTeam Secure Disclosure program. Vendor response Apple has been notified on the 27th of June 2017, several correspondences were exchanged. Apple notified us that a patch has been put in place in the upcoming High Sierra version. No additional information has been provided by Apple since the notification that a patch has been made – no link to the advisory nor any information on what CVE has been assigned to this have been provided. We have verified that Mac OS X High Sierra is no longer vulnerable to this, a solution would be to either upgrade High Sierra, or remove the rhtmlPlayer.html file (a workaround).

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[FD] SSD Advisory – Netgear ReadyNAS Surveillance Unauthenticated Remote Command Execution

SSD Advisory – Netgear ReadyNAS Surveillance Unauthenticated Remote Command Execution Full report: http://ift.tt/2y8qqsW Twitter: @SecuriTeam_SSD Weibo: SecuriTeam_SSD Vulnerability summary The following advisory describes an Unauthenticated Remote Command Execution vulnerability found in Netgear ReadyNAS Surveillance. Netgear ReadyNAS Surveillance – Small businesses and corporate branch offices require a secure way to protect physical assets, but often lack the security expertise or big budget that most solutions require. With these challenges in mind, NETGEAR introduces ReadyNAS Surveillance, easy-to-use network video recording (NVR) software that installs directly to a ReadyNAS storage device. Add a set of cameras to a Power over Ethernet ProSafe switch and your surveillance network is up and running in no time. Credit An independent security researcher, Kacper Szurek, has reported this vulnerability to Beyond Security’s SecuriTeam Secure Disclosure program Vendor response Netgear was informed of the vulnerability on June 27, but while acknowledging the receipt of the vulnerability information, refused to respond to the technical claims, to give a fix timeline or coordinate an advisory.

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New York bill would ban anonymous political ads on Facebook

Related Posts; Older News; New state bill would ban anonymous political ads on social media A Long Island legislator is proposing legislation that ...

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I have a new follower on Twitter

SwissCognitive
THE Global AI Hub for #ArtificialIntelligence #AI #CognitiveComputing, #Machinelearning #ML #DeepLearning #DL #NLP #Robotic We meet, exchange, connect & debate
Switzerland, World & Universe
https://t.co/DpFFXFnnCo
Following: 3371 - Followers: 12375

October 03, 2017 at 09:05PM via Twitter http://twitter.com/SwissCognitive

📉 Ravens fall 4 spots to No. 22 in Week 5 NFL Power Rankings (ESPN)

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EtherParty Breach: Another Ethereum ICO Gets Hacked

Etherparty announced Sunday that its ICO (Initial Coin Offering) website selling tokens for a blockchain-based smart contract tool was hacked and the address for sending funds to buy tokens was replaced by a fraudulent address controlled by the hackers. Vancouver-based Etherparty is a smart contract creation tool that allows its users to create smart contracts on the blockchain. Companies

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ISS Daily Summary Report – 10/02/2017

VEG-03: Following the installation of the Root Mat and Plant Pillows earlier this week, the crew opened the wicks of each Veg-03 Plant Pillow. The Veg-03 investigation uses the Veggie plant growth facility to cultivate types of cabbage, lettuce, and mizuna for on-orbit harvesting and return to Earth for testing.  Organisms grow differently in space, from single-celled bacteria to plants and humans; future long-duration space missions will require crew members to grow their own food and understanding how plants respond to microgravity is an important step toward that goal.  Space Headaches:  The weekly questionnaire for the ESA Space Headaches investigation was completed by 51S crewmembers.  The Space Headaches investigation collects information which may help in the development of new methods to alleviate the symptoms associated with headaches in space and improve the well-being and performance of crewmembers in space. Headaches during space flight can negatively affect mental and physical capacities of crewmembers and negatively influence performance during a space mission. Mobile Procedure Viewer (MobiPV):  Today the crew completed checkout activities for the MobiPV investigation. MobiPV allows users to view procedures hands-free and aims to improve the efficiency of activity execution by giving crewmembers a wireless set of wearable, portable devices that utilize voice navigation and provide a direct audio/video links to ground experts.  A smartphone is the primary device used by crew to interface with procedures and capability exists to display pictures provided in procedure steps on a Google Glass display.    Fluids Integrated Rack (FIR) Light Microscopy Module (LMM) Auxiliary Fluids Container (AFC) Configuration: To prepare for upcoming ACE-T6 operations, the crew configured the LMM for confocal operations. The LMM observation camera, objective lenses, control base, and the confocal test target will be installed inside the LMM AFC. The Light Microscopy Module (LMM) is a modified commercial, highly flexible, state-of-the-art light imaging microscope facility that provides researchers with powerful diagnostic hardware and software onboard the International Space Station (ISS). Fine Motor Skills (FMS): Today a 51S crewmember conducted a Flight Day 65 FMS session by performing a series of interactive tasks on a touchscreen tablet. The FMS investigation studies how fine motor skills are affected by long-term microgravity exposure, different phases of microgravity adaptation, and sensorimotor recovery after returning to Earth gravity. The goal of FMS is to answer how fine motor performance in microgravity trend/vary over the duration of a six-month and year-long space mission; how fine motor performance on orbit compare with that of a closely matched participant on Earth; and how performance trend/vary before and after gravitational transitions, including the periods of early flight adaptation, and very early/near immediate post-flight periods.  EVA Mobility Unit (EMU) On-Orbit Fitcheck Verification:  Today the crew completed pressurized fitchecks on EMU 3003 and 3008 in order to assess fit and feel of the suits prior to the upcoming series of Octobers EVAs. After the initial fitchecks were completed, the resizing of necessary components was successfully accomplished to ensure proper range of motion during the EVAs. The goals of the upcoming EVAs include: Remove and Replace (R&R) of a Space Station Remote Manipulator System (SSRMS) Latching End Effector (LEE), lubrication of the two LEEs, and R&R of two external cameras. PMM Hygiene Cover Installation:  The crew installed a series of hygiene covers and privacy curtains into the Permanent Multipurpose Module (PMM) in order to protect hardware from free water and provide the crew increased privacy during personal hygiene activities.  Today’s Planned Activities All activities were completed unless otherwise noted. EHS-ACOUSTIC DOSIMETER-DATA XFER/STOW ESA Monthly Management Conference Equipment Lock (E-LK) Preparation Extravehicular Mobility Unit (EMU) On-orbit Fitcheck Verification Extravehicular Mobility Unit (EMU) Resize EVA SAFER Automatic Attitude Hold Checkout PROFILAKTIKA-2. Countermeasures System (CMS) Exercise session using КОР-01-Н set Fine Motor Skills Experiment Test – Subject Fluids Integrated Rack Rack Doors Open/Close Health Maintenance System (HMS) – ESA Nutritional Assessment Health Maintenance System (HMS) ISS Food Intake Tracker (ISS FIT) Health Maintenance System (HMS) Vision Questionnaire Health Maintenance System (HMS) Vision Test Inventory Management System (IMS) conference Delta file prep LMM AFC Configuration MOBIPV CHECKOUT  Crew Medical Officer (CMO) Proficiency Training Public Affairs Office (PAO) Event in High Definition (HD) in Columbus Hygiene Cover and Privacy Curtain Installation TV conference with the “News of Week” program correspondent (Ku + S-band) Public Affairs Office (PAO) High Definition (HD) Config JEM Setup Space Headaches – Weekly Questionnaire VEG-03 Wick Open On MCC Go Transfer of USOS ЕДВ brine and ЕДВ-У urine to Progress 436 [AO] Rodnik H2O Tank 2 and flushing H2O tank 2 connector В2 Inspection and photography of RS SM windows 3, 5, 6, 7, 8, 9, 26 ISS Crew and ГОГУ (RSA Flight Control Team) Weekly Conference RELAXATSIYA.  Observation RELAXATSIYA. Parameter Settings Adjustment RELAXATSIYA. Charging battery for Relaksatstiya experiment (initiate) Nikon still camera sync with station time COSMOCARD. Closeout Ops СОЖ maintenance IDENTIFICATION. Copy ИМУ-Ц micro-accelerometer data to laptop Completed Task List Activities None Ground Activities All activities were completed unless otherwise noted. Standard commanding Three-Day Look Ahead: Saturday, 09/30: EarthKAM Shut Down, Crew Off-Duty Sunday, 10/01: Crew Off-Duty Monday, 10/02: EVA Prep, Eye Exams, ETVCG Light R&R 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 Idle Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Standby Trace Contaminant Control System (TCCS) Lab Full up Trace Contaminant Control System (TCCS) Node 3 Off  

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[InsideNothing] toddbschlueter liked your post "[FD] SEC Consult SA-20170914-1 :: Persistent Cross-Site Scripting in SilverStripe CMS"

toddbschlueter liked your post on InsideNothing They thought [FD] SEC Consult SA-20170914-1 :: Persistent Cross-Site Scripting in SilverStripe CMS was pretty awesome. You should go see what they're up to. Maybe you'll like their blog as much as they liked yours! Great posts worth seeing from toddbschlueter: About Introduction to Statistical Data Analysis for the Life Sciences UFO CRASH AT ROSWELL Want less email? Modify your Notification Options. Moderate comments on the go Check out the mobile WordPress Apps. Thanks for flying with WordPress.com

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Google Finds 7 Security Flaws in Widely Used Dnsmasq Network Software

Security researchers have discovered not one or two, but a total of seven security vulnerabilities in the popular open source Dnsmasq network services software, three of which could allow remote code execution on a vulnerable system and hijack it. Dnsmasq is a widely used lightweight network application tool designed to provide DNS (Domain Name System) forwarder, DHCP (Dynamic Host

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Johnston Schools closed after anonymous threats were made

JOHNSTON - All Johnston schools have been canceled for Tuesday, October 3 after multiple parents received anonymous threats over text. An email ...

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Anonymous User

Open-source text editor plugins for metrics about your programming.

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Whoops, Turns Out 2.5 Million More Americans Were Affected By Equifax Breach

Equifax data breach was bigger than initially reported, exposing highly sensitive information of more Americans than previously revealed. Credit rating agency Equifax says an additional 2.5 million U.S. consumers were also impacted by the massive data breach the company disclosed last month, bringing the total possible victims to 145.5 million from 143 million. Equifax last month announced

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October 2017 Webinar Calendar

Webinar Calendar for engineers on the front-line of design and development View on Mobile Phone | View as Web page   Machine Design Webinar Calendar For engineers on the front-line of design and development     OCTOBER 2017 LINE UP     **Featured Webinar** 10/10 - 2 pm ET Category: 3D Printing | Sponsored by: Stratasys   How Additive Manufacturing is Being Deployed to Solve Some of the Largest Challenges in Process Industries (Part 3 of 3) Cost pressures resulting from product substitutes and competition, rising heterogeneity of customers, increasingly complex supply chains and associated costs, regulatory pressures, and more advanced and complex technology required for production are among the largest challenges the Process Industries face. How are these companies applying AM technology to address the industry challenges? >> Read More   Presenter: Chris Krampitz, P.E. Principal Consultant, Stratasys Strategic Consulting   REGISTER     10/3 - 11 am ET Category: 3D Printing | Sponsored by: ANSYS   Never Let Faceted Data Slow You Down: SpaceClaim for 3D Printing Whether optimizing an STL for 3D printing or cleaning up scanned data for a subsequent manufacturing operation, SpaceClaim has developed best-in-class hybrid modeling tools for repairing, editing, and optimizing CAD and STL files alike. >> Read More   Presenter: Roman Walsh Product Manager, ANSYS   REGISTER     10/4 - 1 pm ET Category: Test & Measurement | Sponsored by: Keysight Technologies   Stop Wasting Time and Money by Struggling with Data Analytics While Designing T&M Experiments! Effective data analytics tools can help engineers improve their experiment designs and reduce the design cycle time - ultimately saving money and enabling your team to get to market faster. >> Read More   Presenter: Ailee Grumbine Strategic Product Planner, Keysight Technologies   REGISTER   Presenter: Brad Doerr R&D Manager, Keysight Technologies   REGISTER     10/5 - 1 pm ET Category: Test & Measurement | Sponsored by: Keysight Technologies   Microwave Device Characterization Using the Latest Vector Network Analyzers Join us for a discussion of basic linear network analyzer measurements including insertion loss, return loss, gain compression and deviation from linear phase. We will then focus on additional advanced VNA capabilities including spectrum analysis and noise figure analysis. >> Read More   Presenter: Rosana Cheruvelil Network Analyzer Brand Specialist, Keysight Technologies   REGISTER     10/5 - 2 pm ET Category: Automation | Sponsored by: igus®   Reducing Downtime and Eliminating Cable Failure Cable failure is an all-too-common cause of unplanned downtime across a range of industries and applications. Join Product Specialist Tim Marran to uncover common causes of cable failure, and how a few simple changes to design and installation can make the difference between thousands and millions of cable lifetime cycles. >> Read More   Presenter: Tim Marran Product Specialist - chainflex continuous-flex cables, igus® Inc.   REGISTER     10/11 - 1 pm ET Category: Test & Measurement | Sponsored by: Keysight Technologies & Electro Rent   Increase RF and Microwave Test Efficiency and Throughput This webinar will demonstrate how to select and configure your system with the optimal microwave test accessories to help you increase output, build a fast and accurate design validation test, improve noise figure measurements, and accelerate overall throughput resulting in a lower cost of test. >> Read More   Presenter: Theng Theng Quek RF & uW Indirect Channels Manager, Keysight Technologies   REGISTER     10/12 - 2 pm ET Category: 3D Printing | Sponsored by: HP   3D Printing Costs and Business Implications Across Product Life Cycles Learn how 3D printing can transform your business. Industry trends and 3D printing cost drivers will be explained along with how this technology can open up design possibilities, increase design flexibility, as well as lead to the reduction of inventory and warehousing. >> Read More   Presenter: Jamie Sirois Americas 3D Product Manager, HP   REGISTER     10/17 - 2 pm ET Category: Li-ion Batteries | Sponsored by: Inventus Power   Annual Update on Li-ion Battery Technology Whether you are designing the first battery powered device in a product line or you are developing a roadmap for a portable, motive or stationary battery powered product, this annual live webcast will give you the tools you need to make informed decisions. >> Read More   Presenter: Chris Turner CTO & Vice President, Technical Center North America, Inventus Power   REGISTER   Presenter: Ilyas Ayub Director of Application Engineering, Americas & Europe, Inventus Power   REGISTER   Presenter: Robin Schneider, Ph.D. Technical Marketing Director, Inventus Power   REGISTER     10/18 - 1 pm ET Category: Test & Measurement | Sponsored by: Keysight Technologies & TestEquity   Debug and Test Automotive CAN and CAN FD Buses for Higher Reliability Get an overview of the protocol and timing of the primary serial buses used in automobiles today for control and monitoring including CAN, CAN FD, LIN, SENT, and FlexRay. Also learn how to use an oscilloscope to trigger and decode frame information and bus errors. >> Read More   Presenter: Johnnie Hancock Oscilloscope Applications Manager, Keysight Technologies   REGISTER     10/19 - 11 am ET Category: Smart Meters | Sponsored by: Analog Devices   Taking Control of Smart Meters with Diagnostic Data Utilities are using smart metering to analyze electricity consumption patterns, but are not fully using diagnostic data to maintain and operate their meters. This webinar will discuss new in-meter health monitoring trends and will introduce ADI's mSure® technology. >> Read More   Presenter: Mark Strzegowski Senior Marketing Manager, Analog Devices   REGISTER   Presenter: David Lath Applications Engineer, Analog Devices   REGISTER     10/19 - 2 pm ET Category: Mechanical Fasteners | Sponsored by: 3M   Structural Adhesives vs. Fasteners - What's the Right Choice for Your Application? 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Deep learning on the Raspberry Pi with OpenCV

I’ve received a number of emails from PyImageSearch readers who are interested in performing deep learning in their Raspberry Pi. Most of the questions go something like this:

Hey Adrian, thanks for all the tutorials on deep learning. You’ve really made deep learning accessible and easy to understand. I have a question: Can I do deep learning on the Raspberry Pi? What are the steps?

And almost always, I have the same response:

The question really depends on what you mean by “do”. You should never be training a neural network on the Raspberry Pi — it’s far too underpowered. You’re much better off training the network on your laptop, desktop, or even GPU (if you have one available).

That said, you can deploy efficient, shallow neural networks to the Raspberry Pi and use them to classify input images.

Again, I cannot stress this point enough:

You should not be training neural networks on the Raspberry Pi (unless you’re using the Pi to do the “Hello, World” equivalent of neural networks — but again, I would still argue that your laptop/desktop is a better fit).

With the Raspberry Pi there just isn’t enough RAM.

The processor is too slow.

And in general it’s not the right hardware for heavy computational processes.

Instead, you should first train your network on your laptop, desktop, or deep learning environment.

Once the network is trained, you can then deploy the neural network to your Raspberry Pi.

In the remainder of this blog post I’ll demonstrate how we can use the Raspberry Pi and pre- trained deep learning neural networks to classify input images.

Looking for the source code to this post?
Jump right to the downloads section.

Deep learning on the Raspberry Pi with OpenCV

When using the Raspberry Pi for deep learning we have two major pitfalls working against us:

1. Restricted memory (only 1GB on the Raspberry Pi 3).
2. Limited processor speed.

This makes it near impossible to use larger, deeper neural networks.

Instead, we need to use more computationally efficient networks with a smaller memory/processing footprint such as MobileNet and SqueezeNet. These networks are more appropriate for the Raspberry Pi; however, you need to set your expectations accordingly — you should not expect blazing fast speed.

In this tutorial we’ll specifically be using SqueezeNet.

What is SqueezeNet?

Figure 1: The “fire” module in SqueezeNet, consisting of a “squeeze” and an “expand” (Iandola et al., 2016).

SqueezeNet was first introduced by Iandola et al. in their 2016 paper, SqueezeNet: AlexNet-level accuracy with 50x few parameters and <0.5MB model size.

The title alone of this paper should pique your interest.

State-of-the-art architectures such as ResNet have model sizes that are >100MB. VGGNet is over 550MB. AlexNet sits in the middle of this size range with a model size of ~250MB.

In fact, one of the smaller Convolutional Neural Networks used for image classification is GoogLeNet at ~25-50MB (depending on which version of the architecture is implemented).

The real question is: Can we go smaller?

As the work of Iandola et al. demonstrates, the answer is: Yes, we can decrease model size by applying a novel usage of 1×1 and 3×3 convolutions, along with no fully-connected layers. The end result is a model weighing in at 4.9MB, which can be further reduced to < 0.5MB by model processing (also called “weight pruning” and “sparsifying a model”).

In the remainder of this tutorial I’ll be demonstrating how SqueezeNet can classify images in approximately half the time of GoogLeNet, making it a reasonable choice when applying deep learning on your Raspberry Pi.

Interested in learning more about SqueezeNet?

Figure 2: Deep Learning for Computer Vision with Python book

If you’re interested in learning more about SqueezeNet, I would encourage you to take a look at my new book, Deep Learning for Computer Vision with Python.

Inside the ImageNet Bundle, I:

1. Explain the inner workings of the SqueezeNet architecture.
2. Demonstrate how to implement SqueezeNet by hand.
3. Train SqueezeNet from scratch on the challenging ImageNetd ataset and replicate the original results by Iandola et al.

Go ahead and take a look — I think you’ll agree with me when I say that this is the most complete deep learning + computer vision education you can find online.

Running a deep neural network on the Raspberry Pi

The source code from this blog post is heavily based on my previous post, Deep learning with OpenCV.

I’ll still review the code in its entirety here; however, I would like to refer you over to the previous post for a complete and exhaustive review.

To get started, create a new file named

pi_deep_learning.py

 , and insert the following source code:

# import the necessary packages
import numpy as np
import argparse
import time
import cv2

Lines 2-5 simply import our required packages.

From there, we need to parse our command line arguments:

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True,
        help="path to input image")
ap.add_argument("-p", "--prototxt", required=True,
        help="path to Caffe 'deploy' prototxt file")
ap.add_argument("-m", "--model", required=True,
        help="path to Caffe pre-trained model")
ap.add_argument("-l", "--labels", required=True,
        help="path to ImageNet labels (i.e., syn-sets)")
args = vars(ap.parse_args())

As is shown on Lines 9-16 we have four required command line arguments:

• --image
  

   : The path to the input image.

• --prototxt
  

  : The path to a Caffe prototxt file which is essentially a plaintext configuration file following a JSON-like structure. I cover the anatomy of Caffe projects in my PyImageSearch Gurus course.

• --model
  

   : The path to a pre-trained Caffe model. As stated above, you’ll want to train your model on hardware which packs much more punch than the Raspberry Pi — we can, however, leverage a small, pre-existing model on the Pi.

• --labels
  

   : The path to class labels, in this case ImageNet “syn-sets” labels.

Next, we’ll load the class labels and input image from disk:

# load the class labels from disk
rows = open(args["labels"]).read().strip().split("\n")
classes = [r[r.find(" ") + 1:].split(",")[0] for r in rows]

# load the input image from disk
image = cv2.imread(args["image"])

Go ahead and open

synset_words.txt

  found in the “Downloads” section of this post. You’ll see on each line/row there is an ID and class labels associated with it (separated by commas).

Lines 20 and 21 simply read in the labels file line-by-line (

rows

 ) and extract the first relevant class label. The result is a

classes

  list containing our class labels.

Then, we utilize OpenCV to load the image on Line 24.

Now we’ll make use of OpenCV 3.3’s Deep Neural Network (DNN) module to convert the

image

  to a

blob

  as well as to load the model from disk:

# our CNN requires fixed spatial dimensions for our input image(s)
# so we need to ensure it is resized to 224x224 pixels while
# performing mean subtraction (104, 117, 123) to normalize the input;
# after executing this command our "blob" now has the shape:
# (1, 3, 224, 224)
blob = cv2.dnn.blobFromImage(image, 1, (224, 224), (104, 117, 123))

# load our serialized model from disk
print("[INFO] loading model...")
net = cv2.dnn.readNetFromCaffe(args["prototxt"], args["model"])

Be sure to make note of the comment preceding our call to

cv2.dnn.blobFromImage

  on Line 31 above.

Common choices for width and height image dimensions inputted to Convolutional Neural Networks include 32 × 32, 64 × 64, 224 × 224, 227 × 227, 256 × 256, and 299 × 299. In our case we are pre-processing (normalizing) the image to dimensions of 224 x 224 (which are the image dimensions SqueezeNet was trained on) and performing a scaling technique known as mean subtraction. I discuss the importance of these steps in my book.

We then load the network from disk on Line 35 by utilizing our

prototxt

  and

model

  file path references.

In case you missed it above, it is worth noting here that we are loading a pre-trained model. The training step has already been performed on a more powerful machine and is outside the scope of this blog post (but covered in detail in both PyImageSearch Gurus and Deep Learning for Computer Vision with Python).

Now we’re ready to pass the image through the network and look at the predictions:

# set the blob as input to the network and perform a forward-pass to
# obtain our output classification
net.setInput(blob)
start = time.time()
preds = net.forward()
end = time.time()
print("[INFO] classification took {:.5} seconds".format(end - start))

# sort the indexes of the probabilities in descending order (higher
# probabilitiy first) and grab the top-5 predictions
preds = preds.reshape((1, len(classes)))
idxs = np.argsort(preds[0])[::-1][:5]

To classify the query

blob

 , we pass it forward through the network (Lines 39-42) and print out the amount of time it took to classify the input image (Line 43).

We can then sort the probabilities from highest to lowest (Line 47) while grabbing the top five

predictions

  (Line 48).

The remaining lines (1) draw the highest predicted class label and corresponding probability on the image, (2) print the top five results and probabilities to the terminal, and (3) display the image to the screen:

# loop over the top-5 predictions and display them
for (i, idx) in enumerate(idxs):
        # draw the top prediction on the input image
        if i == 0:
                text = "Label: {}, {:.2f}%".format(classes[idx],
                        preds[0][idx] * 100)
                cv2.putText(image, text, (5, 25), cv2.FONT_HERSHEY_SIMPLEX,
                        0.7, (0, 0, 255), 2)

        # display the predicted label + associated probability to the
        # console       
        print("[INFO] {}. label: {}, probability: {:.5}".format(i + 1,
                classes[idx], preds[0][idx]))

# display the output image
cv2.imshow("Image", image)
cv2.waitKey(0)

We draw the top prediction and probability on the top of the image (Lines 53-57) and display the top-5 predictions + probabilities on the terminal (Lines 61 and 62).

Finally, we display the output image on the screen (Lines 65 and 66). If you are using SSH to connect with your Raspberry Pi this will only work if you supply the

-X

  flag for X11 forwarding when SSH’ing into your Pi.

To see the results of applying deep learning on the Raspberry Pi using OpenCV and Python, proceed to the next section.

Raspberry Pi and deep learning results

We’ll be benchmarking our Raspberry Pi for deep learning against two pre-trained deep neural networks:

• GoogLeNet
• SqueezeNet

As we’ll see, SqueezeNet is much smaller than GoogLeNet (5MB vs. 25MB, respectively) and will enable us to classify images substantially faster on the Raspberry Pi.

To run pre-trained Convolutional Neural Networks on the Raspberry Pi use the “Downloads” section of this blog post to download the source code + pre-trained neural networks + example images.

From there, let’s first benchmark GoogLeNet against this input image:

Figure 3: A “barbershop” is correctly classified by both GoogLeNet and Squeezenet using deep learning and OpenCV.

As we can see from the output, GoogLeNet correctly classified the image as “barbershop” in 1.7 seconds:

$ python pi_deep_learning.py --prototxt models/bvlc_googlenet.prototxt \
        --model models/bvlc_googlenet.caffemodel --labels synset_words.txt \
        --image images/barbershop.png
[INFO] loading model...
[INFO] classification took 1.7304 seconds
[INFO] 1. label: barbershop, probability: 0.70508
[INFO] 2. label: barber chair, probability: 0.29491
[INFO] 3. label: restaurant, probability: 2.9732e-06
[INFO] 4. label: desk, probability: 2.06e-06
[INFO] 5. label: rocking chair, probability: 1.7565e-06

Let’s give SqueezeNet a try:

$ python pi_deep_learning.py --prototxt models/squeezenet_v1.0.prototxt \
        --model models/squeezenet_v1.0.caffemodel --labels synset_words.txt \
        --image images/barbershop.png 
[INFO] loading model...
[INFO] classification took 0.92073 seconds
[INFO] 1. label: barbershop, probability: 0.80578
[INFO] 2. label: barber chair, probability: 0.15124
[INFO] 3. label: half track, probability: 0.0052873
[INFO] 4. label: restaurant, probability: 0.0040124
[INFO] 5. label: desktop computer, probability: 0.0033352

SqueezeNet also correctly classified the image as “barbershop”…

…but in only 0.9 seconds!

As we can see, SqueezeNet is significantly faster than GoogLeNet — which is extremely important since we are applying deep learning to the resource constrained Raspberry Pi.

Let’s try another example with SqueezeNet:

$ python pi_deep_learning.py --prototxt models/squeezenet_v1.0.prototxt \
        --model models/squeezenet_v1.0.caffemodel --labels synset_words.txt \
        --image images/cobra.png 
[INFO] loading model...
[INFO] classification took 0.91687 seconds
[INFO] 1. label: Indian cobra, probability: 0.47972
[INFO] 2. label: leatherback turtle, probability: 0.16858
[INFO] 3. label: water snake, probability: 0.10558
[INFO] 4. label: common iguana, probability: 0.059227
[INFO] 5. label: sea snake, probability: 0.046393

Figure 4: SqueezeNet correctly classifies an image of a cobra using deep learning and OpenCV on the Raspberry Pi.

However, while SqueezeNet is significantly faster, it’s less accurate than GoogLeNet:

$ python pi_deep_learning.py --prototxt models/squeezenet_v1.0.prototxt \
        --model models/squeezenet_v1.0.caffemodel --labels synset_words.txt \
        --image images/jellyfish.png 
[INFO] loading model...
[INFO] classification took 0.92117 seconds
[INFO] 1. label: bubble, probability: 0.59491
[INFO] 2. label: jellyfish, probability: 0.23758
[INFO] 3. label: Petri dish, probability: 0.13345
[INFO] 4. label: lemon, probability: 0.012629
[INFO] 5. label: dough, probability: 0.0025394

Figure 5: A jellyfish is incorrectly classified by SqueezNet as a bubble.

Here we see the top prediction by SqueezeNet is “bubble”. While the image may appear to have bubble-like characteristics, the image is actually of a “jellyfish” (which is the #2 prediction from SqueezeNet).

GoogLeNet on the other hand correctly reports “jellyfish” as the #1 prediction (with the sacrifice of processing time):

$ python pi_deep_learning.py --prototxt models/bvlc_googlenet.prototxt \
        --model models/bvlc_googlenet.caffemodel --labels synset_words.txt \
        --image images/jellyfish.png
[INFO] loading model...
[INFO] classification took 1.7824 seconds
[INFO] 1. label: jellyfish, probability: 0.53186
[INFO] 2. label: bubble, probability: 0.33562
[INFO] 3. label: tray, probability: 0.050089
[INFO] 4. label: shower cap, probability: 0.022811
[INFO] 5. label: Petri dish, probability: 0.013176

Summary

Today, we learned how to apply deep learning on the Raspberry Pi using Python and OpenCV.

In general, you should:

1. Never use your Raspberry Pi to train a neural network.
2. Only use your Raspberry Pi to deploy a pre-trained deep learning network.

The Raspberry Pi does not have enough memory or CPU power to train these types of deep, complex neural networks from scratch.

In fact, the Raspberry Pi barely has enough processing power to run them — as we’ll find out in next week’s blog post you’ll struggle to get a reasonable frames per second for video processing applications.

If you’re interested in embedded deep learning on low cost hardware, I’d consider looking at optimized devices such as NVIDIA’s Jetson TX1 and TX2. These boards are designed to execute neural networks on the GPU and provide real-time (or as close to real-time as possible) classification speed.

In next week’s blog post, I’ll be discussing how to optimize OpenCV on the Raspberry Pi to obtain performance gains by upwards of 100% for object detection using deep learning.

To be notified when this blog post is published, just enter your email address in the form below!

Downloads:

If you would like to download the code and images used in this post, please enter your email address in the form below. Not only will you get a .zip of the code, I’ll also send you a FREE 11-page Resource Guide on Computer Vision and Image Search Engines, including exclusive techniques that I don’t post on this blog! Sound good? If so, enter your email address and I’ll send you the code immediately!

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