Algorithm

such as analyzing past scores to determine future possibilities, evaluating performance levels of each team by measuring wins and loses, judging the reputation of each team to determine who is more privy to winning, and using a set of mathematical algorithms to calculate who has the best chances of a victory. Expert data combined with intuition and general knowledge…

with all day entertainment. Using algorithms, this interactive autonomous toy synthesizes with your pup’s behavior in order to keep your canine friend running and playing until your return home. It comes with a compatible app with which you can control the device when you’re in office. GoBone is the brainchild of Santiago Gutierrez, who himself is a dog owner and had the same problem with his dog Rufus as he had to work 60 hours per week. The patent-pending algorithms help the device to…

minimum value to maximum value. For both the test systems, the size of the DGs is varied from 0.1 MW to 10 MW. The sizes, which provide the minimum real power losses, are the best size of DGs to be placed at these optimal locations. The success of any algorithm or optimization is endorsed, only if it is suitable for a variety of situations. Here, to examine the success and stiffness of this proposed approach, two cases are considered for the test system as follows. Case I - Single DG…

Forsythe and Balanchine looked for the mathematical shapes of classical ballet to extend the movements to create longer lines of the human body, similar to architectural renderings. Architecture shaped Balanchine and Forsythe’s work. Associating with different architects, Forsythe educated himself on spatiality and structure to construct the dancers’ bodies. Although Balanchine’s movement applied math to elongate the dancer’s body, Forsythe constructs movements based on researching physics. In…

When Netflix decided to go into the entertainment-producing business by commissioning the streaming series “House of Cards,” there was a lot of data to be crunched before the first download ever took place, said Dave Hastings, Netflix’s director of product analytics, data science and engineering. We wanted early on to be careful, and it has worked out.” Just four years after the March 2011 release of that first season of “House of Cards,” Hastings said Netflix has as many as 60 series seasons in…

2.2.2 ECONOMIC LOAD DISPATCH The primary concern of an economic dispatch problem is to minimize the fuel cost of thermal power plants for a given load demand subject to the operating constraints of a power system. Therefore, it can be formulated mathematically with an objective function and constraints 2.2.2.1 Objective Function The primary objective of any ELD problem is to reduce the operational cost by fulfilling the load demand within limit of constraints. The various kinds of objective…

If the desired results are not achieved the algorithm must be changed and the results monitored again. Programmers were learning a lot about the problems of artificial intelligence through data analysis, but the machines themselves were only performing numerical optimization that optimized performance…

ratings weren’t actually of great use, so they introduce Recommendation Algorithm based on what members played, searched for, or rated, as well as the time, date, device, browsing or scrolling behavior. Algorithm works on assumption of viewing pattern and behavior of users and results in deriving preferences. (Source: http://techblog.netflix.com/, Netflix, Inc.) Netflix uses big data for analysis and predictive algorithms to provide the best experience to members. First, Netflix launched…

The Extended Mind Reduced to Absurdity The Extended Mind thesis is the notion that the mind is not only located in the head, but also extends to the external world and body. The theory further suggests that beliefs exist outside of the brain, and that any physical object used to aid in cognitive processes are also part of the mind. In this paper, I will discuss Clark and Chalmers’ view of the Extended Mind (EM) theory and its implications, and will argue that the theory is a reductio ad…

1.3 RANKING OPTIMIZATION Ranking is a technique to categorize and finding the best option in the market. When number of best option is available in the market so it's difficult to getting the best option is always a problem. Ranking optimization often required to predict or to acquire pre or post ranking based on the existing dataset and available rank unit. At present there are creatures which may predict the approx. A prediction which is applicable for the product ranking the optimization…