Latest YouTube Video
Saturday, July 4, 2015
Blatter opens up in interview on FIFA scandal and his role in it
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Messi fails again with Argentina's national team
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Blatter: French, German presidents tried influence WCup vote
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Copa America final penalty shootout
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Chile beats Argentina 4-1 on penalties to win Copa America
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Orioles Video: Manny Machado hits 2-run HR in 8th, but Chris Davis robbed of HR in 9th in 3-2 loss to White Sox (ESPN)
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Orioles: Bud Norris moving to the bullpen, Kevin Gausman staying in the rotation, will start Tuesday vs. Twins (ESPN)
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Regimental Nicknames and Traditions of the British Army
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AP Exclusive: CONMEBOL head says 'we need total change'
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2 Dinamo Zagreb bosses arrested over bribery charges
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Here's How You Can Replace Your iPhone Battery For Free
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[FD] Google HTTP Live Headers v1.0.6 - Client Side Cross Site Scripting Web Vulnerability
[FD] Ebay Inc Magento Bug Bounty #16 - CSRF Web Vulnerability
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Gello: Cyanogen's Customizable Web Browser for Android
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This 20-year-old Student Has Written 100 Malware Programs in Two Years
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Anonymous on Twitter: "Private Messages Leaked after Plex Forums Hack http://t.co/PAgC0LAb27 ...
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Africa's soccer strongman a candidate for FIFA president?
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Anonymous users can checkout
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Venus and Jupiter are Far
Friday, July 3, 2015
Orioles Video: Ubaldo Jimenez allows solo HR in 1-0 loss to White Sox; Adam Jones 0-for-3, now 1-for-33 vs. John Danks (ESPN)
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Peru beats Paraguay 2-0 to finish 3rd in Copa America
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Dempsey, Chandler score as US beats Guatemala 4-0
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Barcelona loans defender Martin Montoya to Inter Milan
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Federico Fazzi (@federicofazzi) favorited one of your Tweets!
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Orioles: Who is baseball's best manager? ESPN.com survey says Giants' Bruce Bochy, but Buck Showalter is best tactician (ESPN)
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I have a new follower on Twitter
Braxton Thomas
A page dedicated to saving the cats & kittens at the NYC ACC. NYC Urgent Cats is run by volunteers and NOT affiliated with the shelter.
Chadbourn town, NC, USA
Following: 1082 - Followers: 31
July 03, 2015 at 07:06PM via Twitter http://twitter.com/braxtonw92
Altidore, Dempsey rejoin US lineup against Guatemala
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[FD] ipTIME n104r3 vulnerable to CSRF and XSS attacks
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Re: [FD] [##2255763##] ManageEngine Password Manager Pro 8.1 SQL Injection vulnerability
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[FD] SQL Injection in easy2map wordpress plugin v1.24
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[FD] Snorby 2.6.2 - Stored Cross-site Scripting Vulnerability
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Re: [FD] Google Chrome Address Spoofing (Request For Comment)
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Sonata à 4 in D major, S-Uu 11:15 (Anonymous)
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Working with anonymous donors
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I have a new follower on Twitter
Selinda Bianco
I wanna be a writer when i grow up :)
Following: 613 - Followers: 368
July 03, 2015 at 02:35PM via Twitter http://twitter.com/LovelySelinda
Shanghai to host Italian Super Cup between Juve and Lazio
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Barcelona loans defender Montoya Torralbo to Inter Milan
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Present a message to Anonymous submitter that they are limited to one submission
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Udinese presents Ali Adnan as first Iraqi player in Serie A
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UEFA lifts Man City, PSG sanctions after clubs curb spending
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Lyon signing of Beauvue clears path for Lacazette sale
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Indonesian tsunami survivor joins Sporting Lisbon as trainee
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Nicolas Anelka to manage as well as play for Mumbai City
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Berlusconi demands AC Milan return to Champions League
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Brazilian refs sending message to players: Stop the whining!
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North America Runs Out of IPv4 Addresses
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I have a new follower on Twitter
PhysicsForums.com
Join the largest & highest quality science community with 200K+ members. Discussions in #physics, #astronomy, #STEM, #engineering, #math etc!
USA
http://t.co/Pu7YM1JW5Y
Following: 2109 - Followers: 4812
July 03, 2015 at 03:57AM via Twitter http://twitter.com/physicsforums
Let's Take a Selfie to Shop Online With MasterCard
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Anonymous 4 comes to Rockport on farewell tour
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I have a new follower on Twitter
AixaM,n,c,k,s
These are my tweets, I think they are fun, jlife is nice and fun:P
Following: 1270 - Followers: 265
July 03, 2015 at 01:52AM via Twitter http://twitter.com/AixaMincks
Copa America: Argentina, Chile trying to end title drought
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Venus and Jupiter are Close
Thursday, July 2, 2015
I have a new follower on Twitter
Matrix
atlanta, ga
Following: 1144 - Followers: 144
July 02, 2015 at 11:29PM via Twitter http://twitter.com/matrix_daily
Orioles Video: LF David Lough crashes into wall to make catch, robs another hit with sliding catch in loss to Rangers (ESPN)
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ro0ted on Twitter: "#Anonymous Shuts Down Canada Spy Agency Website #OpbillC51 https://t.co ...
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An Empirical Evaluation of True Online TD({\lambda}). (arXiv:1507.00353v1 [cs.AI])
The true online TD({\lambda}) algorithm has recently been proposed (van Seijen and Sutton, 2014) as a universal replacement for the popular TD({\lambda}) algorithm, in temporal-difference learning and reinforcement learning. True online TD({\lambda}) has better theoretical properties than conventional TD({\lambda}), and the expectation is that it also results in faster learning. In this paper, we put this hypothesis to the test. Specifically, we compare the performance of true online TD({\lambda}) with that of TD({\lambda}) on challenging examples, random Markov reward processes, and a real-world myoelectric prosthetic arm. We use linear function approximation with tabular, binary, and non-binary features. We assess the algorithms along three dimensions: computational cost, learning speed, and ease of use. Our results confirm the strength of true online TD({\lambda}): 1) for sparse feature vectors, the computational overhead with respect to TD({\lambda}) is minimal; for non-sparse features the computation time is at most twice that of TD({\lambda}), 2) across all domains/representations the learning speed of true online TD({\lambda}) is often better, but never worse than that of TD({\lambda}), and 3) true online TD({\lambda}) is easier to use, because it does not require choosing between trace types, and it is generally more stable with respect to the step-size. Overall, our results suggest that true online TD({\lambda}) should be the first choice when looking for an efficient, general-purpose TD method.
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Fast Convergence of Regularized Learning in Games. (arXiv:1507.00407v1 [cs.GT])
We show that natural classes of regularized learning algorithms with a form of recency bias achieve faster convergence rates to approximate efficiency and to correlated equilibria in multiplayer normal form games. When each player in a game uses an algorithm from our class, their individual regret decays at $O(T^{-3/4})$, while the sum of utilities converges to an approximate optimum at $O(T^{-1})$--an improvement upon the worst case $O(T^{-1/2})$ rates. We show a black-box reduction for any algorithm in the class to achieve $O(T^{-1/2})$ rates against an adversary, while maintaining the faster rates against algorithms in the class. Our results extend those of [Rakhlin and Shridharan 2013] and [Daskalakis et al. 2014], who only analyzed two-player zero-sum games for specific algorithms.
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Online Transfer Learning in Reinforcement Learning Domains. (arXiv:1507.00436v1 [cs.AI])
This paper proposes an online transfer framework to capture the interaction among agents and shows that current transfer learning in reinforcement learning is a special case of online transfer. Furthermore, this paper re-characterizes existing agents-teaching-agents methods as online transfer and analyze one such teaching method in three ways. First, the convergence of Q-learning and Sarsa with tabular representation with a finite budget is proven. Second, the convergence of Q-learning and Sarsa with linear function approximation is established. Third, the we show the asymptotic performance cannot be hurt through teaching. Additionally, all theoretical results are empirically validated.
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Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution. (arXiv:1507.00567v1 [cs.SY])
Cloud controllers aim at responding to application demands by automatically scaling the compute resources at runtime to meet performance guarantees and minimize resource costs. Existing cloud controllers often resort to scaling strategies that are codified as a set of adaptation rules. However, for a cloud provider, applications running on top of the cloud infrastructure are more or less black-boxes, making it difficult at design time to define optimal or pre-emptive adaptation rules. Thus, the burden of taking adaptation decisions often is delegated to the cloud application. Yet, in most cases, application developers in turn have limited knowledge of the cloud infrastructure. In this paper, we propose learning adaptation rules during runtime. To this end, we introduce FQL4KE, a self-learning fuzzy cloud controller. In particular, FQL4KE learns and modifies fuzzy rules at runtime. The benefit is that for designing cloud controllers, we do not have to rely solely on precise design-time knowledge, which may be difficult to acquire. FQL4KE empowers users to specify cloud controllers by simply adjusting weights representing priorities in system goals instead of specifying complex adaptation rules. The applicability of FQL4KE has been experimentally assessed as part of the cloud application framework ElasticBench. The experimental results indicate that FQL4KE outperforms our previously developed fuzzy controller without learning mechanisms and the native Azure auto-scaling.
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Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization. (arXiv:1411.3675v2 [cs.SI] UPDATED)
We propose a scalable temporal latent space model for link prediction in dynamic social networks, where the goal is to predict links over time based on a sequence of previous graph snapshots. The model assumes that each user lies in an unobserved latent space and interactions are more likely to form between similar users in the latent space representation. In addition, the model allows each user to gradually move its position in the latent space as the network structure evolves over time. We present a global optimization algorithm to effectively infer the temporal latent space, with a quadratic convergence rate. Two alternative optimization algorithms with local and incremental updates are also proposed, allowing the model to scale to larger networks without compromising prediction accuracy. Empirically, we demonstrate that our model, when evaluated on a number of real-world dynamic networks, significantly outperforms existing approaches for temporal link prediction in terms of both scalability and predictive power.
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Bradley replaces Dempsey as US captain for CONCACAF Gold Cup
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Guzan, US seek to maintain momentum against Guatemala
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I have a new follower on Twitter
rocio
Senora no le parece:que ya es demasiadoygrande como para sacar a pasear a su muneca.
Following: 808 - Followers: 47
July 02, 2015 at 05:02PM via Twitter http://twitter.com/biebsrocio798
Copa America huge chance for Chile to finally win big title
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[FD] Microsoft Office - OLE Packager allows code execution in all Office versions, with macros disabled and high security templates applied
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[FD] CVE-2015-3442 Authentication Bypass in Xpert.Line Version 3.0
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I have a new follower on Twitter
Sendfiles2.me
Sendfiles2.me makes getting files from others easier. Tweets by @malibey
localhost
http://t.co/lKQoKuNoRp
Following: 4567 - Followers: 5984
July 02, 2015 at 01:14PM via Twitter http://twitter.com/sendfiles2me
AC Milan signs striker Carlos Bacca from Sevilla
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Turmoil in Russian football as government limits foreigners
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UEFA confirms Rubin Kazan to get Europa League place
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ISS Daily Summary Report – 07/01/15
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Homes of Dinamo Zagreb bosses raided by Croatian police
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How to Anonymously Access Wi-Fi from 2.5 Miles Away Using This Incredible Device
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China's Evergrande Taobao team applies for stock listing
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Hand grenade found at Red Star stadium
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These Laser Beams Will Offer Free Internet to the World from the Sky
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US files formal extradition request for 7 FIFA officials
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Apple Releases dozens of Security Updates to Fix OS X and iOS Flaws
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Switzerland: US seeks extradition of 7 FIFA officials
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I have a new follower on Twitter
Dragon
Miss you bro. Rip FHS 76-10
Houston, Tx
Following: 1824 - Followers: 495
July 02, 2015 at 02:09AM via Twitter http://twitter.com/mhsantiesteban
I have a new follower on Twitter
Laurel Robbins
Inspired by nature, fuelled by curiosity, on a mission to get people outdoors. Adventure travel blogger at http://t.co/cSETsmEVMp. Co-founder of #AdvTravelChat
Munich, Germany
http://t.co/cSETsmWwDX
Following: 36452 - Followers: 62811
July 02, 2015 at 02:09AM via Twitter http://twitter.com/Laurel_Robbins
Venus, Jupiter, and Noctilucent Clouds
Chicharito injures collarbone as Mexico ties Honduras
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Wednesday, July 1, 2015
Chicharito injures collarbone as Mexico ties Honduras
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Boca Juniors beat Strikers 3-0
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Orioles Highlight: JJ Hardy hits go-ahead home run and Wei-Yin Chen holds Rangers to 2 ER over 8 IP in 4-2 win (ESPN)
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Re: [FD] Google Chrome Address Spoofing (Request For Comment)
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[FD] Exploit Code for ipTIME firmwares < 9.58 (root RCE against 127 router models)
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Re: [FD] Google Chrome Address Spoofing (Request For Comment)
> ***** content.html > This web page is NOT oracle.com > > ***** It's online > http://ift.tt/1R2ihK7 > (The page says "June/16/2015" - it works as we tested today) > > Request For Comment: > We reported this to Google. > They reproduced, and say > It's DoS which doesn't matter. > We think it's very strange, > since the browser does not crash(not DoS), > and the threat is obvious. > What's your opinion? > > Kind Regards, > > PS > We love clever tricks. > We love this: > http://dieyu.org/
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Top-N recommendations in the presence of sparsity: An NCD-based approach. (arXiv:1507.00043v1 [cs.IR])
Making recommendations in the presence of sparsity is known to present one of the most challenging problems faced by collaborative filtering methods. In this work we tackle this problem by exploiting the innately hierarchical structure of the item space following an approach inspired by the theory of Decomposability. We view the itemspace as a Nearly Decomposable system and we define blocks of closely related elements and corresponding indirect proximity components. We study the theoretical properties of the decomposition and we derive sufficient conditions that guarantee full item space coverage even in cold-start recommendation scenarios. A comprehensive set of experiments on the MovieLens and the Yahoo!R2Music datasets, using several widely applied performance metrics, support our model's theoretically predicted properties and verify that NCDREC outperforms several state-of-the-art algorithms, in terms of recommendation accuracy, diversity and sparseness insensitivity.
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Fast Cross-Validation for Incremental Learning. (arXiv:1507.00066v1 [stat.ML])
Cross-validation (CV) is one of the main tools for performance estimation and parameter tuning in machine learning. The general recipe for computing CV estimate is to run a learning algorithm separately for each CV fold, a computationally expensive process. In this paper, we propose a new approach to reduce the computational burden of CV-based performance estimation. As opposed to all previous attempts, which are specific to a particular learning model or problem domain, we propose a general method applicable to a large class of incremental learning algorithms, which are uniquely fitted to big data problems. In particular, our method applies to a wide range of supervised and unsupervised learning tasks with different performance criteria, as long as the base learning algorithm is incremental. We show that the running time of the algorithm scales logarithmically, rather than linearly, in the number of CV folds. Furthermore, the algorithm has favorable properties for parallel and distributed implementation. Experiments with state-of-the-art incremental learning algorithms confirm the practicality of the proposed method.
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A Tool for Computing and Estimating the Volume of the Solution Space of SMT(LA). (arXiv:1507.00142v1 [cs.AI])
There are already quite a few tools for solving the Satisfiability Modulo Theories (SMT) problems. In this paper, we present \texttt{VolCE}, a tool for counting the solutions of SMT constraints, or in other words, for computing the volume of the solution space. Its input is essentially a set of Boolean combinations of linear constraints, where the numeric variables are either all integers or all reals, and each variable is bounded. The tool extends SMT solving with integer solution counting and volume computation/estimation for convex polytopes. Effective heuristics are adopted, which enable the tool to deal with high-dimensional problem instances efficiently and accurately.
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From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. (arXiv:1507.00257v1 [cs.DB])
In this work we establish and investigate connections between causes for query answers in databases, database repairs wrt. denial constraints, and consistency-based diagnosis. The first two are relatively new research areas in databases, and the third one is an established subject in knowledge representation. We show how to obtain database repairs from causes, and the other way around. Causality problems are formulated as diagnosis problems, and the diagnoses provide causes and their responsibilities. The vast body of research on database repairs can be applied to the newer problems of computing actual causes for query answers and their responsibilities. These connections, which are interesting per se, allow us, after a transition -inspired by consistency-based diagnosis- to computational problems on hitting sets and vertex covers in hypergraphs, to obtain several new algorithmic and complexity results for database causality.
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Online Learning under Delayed Feedback. (arXiv:1306.0686v2 [cs.LG] CROSS LISTED)
Online learning with delayed feedback has received increasing attention recently due to its several applications in distributed, web-based learning problems. In this paper we provide a systematic study of the topic, and analyze the effect of delay on the regret of online learning algorithms. Somewhat surprisingly, it turns out that delay increases the regret in a multiplicative way in adversarial problems, and in an additive way in stochastic problems. We give meta-algorithms that transform, in a black-box fashion, algorithms developed for the non-delayed case into ones that can handle the presence of delays in the feedback loop. Modifications of the well-known UCB algorithm are also developed for the bandit problem with delayed feedback, with the advantage over the meta-algorithms that they can be implemented with lower complexity.
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Toward the Coevolution of Novel Vertical-Axis Wind Turbines. (arXiv:1308.3136v2 [cs.NE] CROSS LISTED)
The production of renewable and sustainable energy is one of the most important challenges currently facing mankind. Wind has made an increasing contribution to the world's energy supply mix, but still remains a long way from reaching its full potential. In this paper, we investigate the use of artificial evolution to design vertical-axis wind turbine prototypes that are physically instantiated and evaluated under fan generated wind conditions. Initially a conventional evolutionary algorithm is used to explore the design space of a single wind turbine and later a cooperative coevolutionary algorithm is used to explore the design space of an array of wind turbines. Artificial neural networks are used throughout as surrogate models to assist learning and found to reduce the number of fabrications required to reach a higher aerodynamic efficiency. Unlike in other approaches, such as computational fluid dynamics simulations, no mathematical formulations are used and no model assumptions are made.
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Design Mining Interacting Wind Turbines. (arXiv:1410.0547v2 [cs.NE] CROSS LISTED)
An initial study of surrogate-assisted evolutionary algorithms used to design vertical-axis wind turbines wherein candidate prototypes are evaluated under fan generated wind conditions after being physically instantiated by a 3D printer has recently been presented. Unlike other approaches, such as computational fluid dynamics simulations, no mathematical formulations were used and no model assumptions were made. This paper extends that work by exploring alternative surrogate modelling and evolutionary techniques. The accuracy of various modelling algorithms used to estimate the fitness of evaluated individuals from the initial experiments is compared. The effect of temporally windowing surrogate model training samples is explored. A surrogate-assisted approach based on an enhanced local search is introduced; and alternative coevolution collaboration schemes are examined.
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Design Mining VAWT Wind Farms. (arXiv:1506.08781v1 [cs.NE] CROSS LISTED)
The small body of previous work considering the design of wind farms has used arrays of turbines originally intended to operate alone, optimising the layout of homogeneous turbines essentially as an afterthought in the design process. In this paper, we consider designing wind farms composed of collaborating wind turbines. Computational intelligence is combined with rapid prototyping whereby candidate designs are physically instantiated and evaluated under fan-generated wind conditions. It is shown possible to use surrogate-assisted coevolutionary algorithms to aerodynamically optimise the potentially heterogeneous morphology of an array of 6 small scale and closely positioned vertical-axis wind turbines using the total angular kinetic energy of the array as the objective. This approach performs optimisation in the presence of complex inter-turbine wake effects and multi-directional wind flow from nearby obstacles, which is extremely difficult to achieve accurately under high fidelity computational fluid dynamics simulation. The general approach is equally applicable to the design of other forms of sustainable energy where the characteristics of the environment and/or materials involved are too difficult to accurately simulate.
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Blatter says he has 'clear conscience' despite FIFA probes
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Orioles: OF Delmon Young designated for assignment; batting .270 with 2 HRs, 16 RBIs in 52 games this season (ESPN)
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Gundogan extends Borussia Dortmund contract by 1 year
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Brazil to ask former coaches to help improve local football
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Ask an Anonymous Cop: Do You Write More Tickets at the End of the Month?
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Dutch FA appoints Danny Blind as national coach
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Messi & Argentina shining together, closer to elusive title
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Spanish club Rayo to support charities with jersey sales
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Anonymous on Twitter: "Shout outs to the people mimicking my work. http://ift.tt/1HuCqlG;
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Clyne, Osvaldo leave Southampton as transfer window opens
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These Are The FBI's Most Wanted Hackers — Total $4.2 Million Reward
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Argentina routs Paraguay 6-1, reaches Copa America final
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ISS Daily Summary Report – 06/30/15
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Ex-coach Scala leads group attempting to revive Parma
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Cisco to Buy OpenDNS Company for $635 Million
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Petr Cech: Arsenal matches my ambition to win trophies
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Liverpool signs England defender Clyne from Southampton
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Ivory Coast names 5 candidates for new coach
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Monaco signs France U21 midfielder Bahlouli on 5-year deal
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Bayern Munich signs Brazil midielder Douglas Costa
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France to host Germany in November friendly
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Colombian striker Martinez moves to Atletico Madrid
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I have a new follower on Twitter
Norman
Marketing Manager for @my1login by day and night. In my spare time I'm @paddlescotland. My brilliant wee nephew in the pic!
Scotland
http://t.co/KFhJlG0YgD
Following: 9630 - Followers: 9893
July 01, 2015 at 06:14AM via Twitter http://twitter.com/NormanM1L
[FD] Blueberry Express v5.9.x - SEH Buffer Overflow Vulnerability
Source: Gmail -> IFTTT-> Blogger
[FD] Ebay Magento Bug Bounty #14 - Persistent Description Vulnerability
Source: Gmail -> IFTTT-> Blogger
Collision again raises issue of concussions in World Cup
from FOX Sports Digital http://ift.tt/1GLMfXv
via IFTTT
An Unusual Mountain on Asteroid Ceres
Wanderers sign former Barcelona youth product
from FOX Sports Digital http://ift.tt/1GLvqvY
via IFTTT
Tuesday, June 30, 2015
I have a new follower on Twitter
Mary
http://t.co/XZdolcjITH
Following: 1829 - Followers: 1282
June 30, 2015 at 11:38PM via Twitter http://twitter.com/3000Sweden