- published: 11 Feb 2011
- views: 5192
A description of the fast powering algorithm, used to evaluate very high powers of very large numbers, taken mod N.
They're online formulas that influence and even control what we do. But are algorithms becoming too powerful for humans to handle? They govern many aspects of our lives -- most noticeably, what we see online. Algorithms are powerful tools - but they can be misused and sometimes - take on a life of their own. Subscribe: http://trt.world/subscribe Livestream: http://trt.world/ytlive Facebook: http://trt.world/facebook Twitter: http://trt.world/twitter Instagram: http://trt.world/instagram Visit our website: http://trt.world
Lecture 6B Frequency Domain Analysis: The Power Spectrum, Lomb's Algorithm and Multi-Taper Estimate (CH 7 and Handout ) Book: Signal Processing for Neuroscientists by Wim van Drongelen Course: Modeling and Signal Analysis for Neuroscientists
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A multi-source power system and tuning PID controller parameters via SCA algorithm *** In the video I have mistaken the algorithm, I have done it by SCA, but I have written TLBO. *** Hello everybody, I have used the following paper multi-area system and applied another algorithm to it. In addition to the paper, I have analyzed its robustness by the change in two different parameters of the system, R, and B. The algorithm I have used is SCA and the paper's algorithm is DE (differential evolution) A novel population-based optimization algorithm called Sine Cosine Algorithm (SCA) has been adopted to solve optimization of automatic load frequency control (LFC) of a realistic power system with multi-source power generation is presented. The sensitivity analysis reveals that the proposed co...
Automated design of motion strategy using genetic algorithm and neural network
Clement built an application (https://clementmihailescu.github.io/Pathfinding-Visualizer/#) that allows you to visualize a host of different pathfinding algorithms in action, from unweighted algorithms like depth-first search and breadth-first search, to weighted ones like Dijkstra’s Algorithm and A* Search, all the way to an algorithm of his own creation, which he named the Swarm Algorithm. In this presentation he specifically explores the intricacies of A* Search and explains how heuristics can be used to achieve greater results in the world of pathfinding. ---- Fullstack Academy was recently ranked the #1 coding bootcamp in the U.S. Learn more at https://www.fullstackacademy.com.
In a robot lab at TEDGlobal, Raffaello D'Andrea demos his flying quadcopters: robots that think like athletes, solving physical problems with algorithms that help them learn. In a series of nifty demos, D'Andrea show drones that play catch, balance and make decisions together -- and watch out for an I-want-this-now demo of Kinect-controlled quads. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www...
Facebook can flip your entire social identity on and off at the switch; that is way too much power for any institution to have over us, says Oliver Luckett, and we handed it to them. Luckett's book is "The Social Organism: A Radical Understanding of Social Media to Transform Your Business and Life" (https://goo.gl/50TOqE). Read more at BigThink.com: http://bigthink.com/videos/oliver-luckett-on-facebook-algorithms-and-online-echo-chambers Follow Big Think here: YouTube: http://goo.gl/CPTsV5 Facebook: https://www.facebook.com/BigThinkdotcom Twitter: https://twitter.com/bigthink Transcript - There's been so much conversation recently about societal bubbles, echo chambers, media bubbles, personal algorithm bubbles. My newsfeed told me that everyone thought the same way I did. And there's ...
Genetic algorithm learn two polygons to move
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In WSN ,sensor nodes have limitation of energy. So the lifetime of the network is very important.We consider the PEGASIS (Power Efficient GAthering in Sensor Information System).It is an chain-based routing scheme that are proposed for energy consumption of communication in the network.Here the nodes communicate their sensed data to their neighbors and the randomly chosen nodes will take turns in communicating to the Base Station. Objective is to develop a sensing scheduling policy so that the time average utility generated by the sensors is maximized. Then propose a randomized myopic policy, which aims to select a number of sensors with the highest energy levels to perform the sensing task in each slot.
Optimality Of power And cost effective Ness of power generation