Дебютная работа метал-группы из Пензы - это энергичный Mathcore с элементами Deathcore. Техничные, интересные гитарные ходы и бронебойная ритм-секция не позволят расслабиться ни на секунду. Для поклонников MESHUGGAH, CONVERGE, THE ACACIA STRAIN. Артем "Scream" Иус, Chaotic Noiz
Automatic Algorithm Recognition and Replacement – A New Approach to Program Optimization
This book proposed a modified artificial bee colony algorithm for job scheduling problem. Results of the proposed algorithm shows that the efficiency of proposed algorithm is better then the original Genetic Algorithm. This algorithm produced better results for those problems that do not generate exact solution.Finally, Overall motive of these type of algorithms are to get more optimized results from the previous one. Silent Features are: More efficient algorithm, Less time complexity, Easily to understand the proposed concept, Simple language, Helpful for generating new ideas.
The main objective of this book is to find the possibility of implementing automatic term conflation method for Agew language. There is a need for people all over the World to be able to use their own language when using computers or accessing information on the Internet. This requires the existence of Stemmer .After analyzing different approaches to stemming algorithm,longest match approach for stemming algorithm was used and has shown very good performance.
Shapiro: Adaptive Finite Element Solution Algorithm For The Euler Equations
This work presents an analysis on different algorithm like DES, TDES, and AES. Software development of encryption/decryption module for the two targets, programming language used is Embedded C, MikroC and Visual Studio VC++ are the compilers and Microcontroller PIC16F877A is employed. For establishing communication between the EMS simulated ECU and Transponder Simulated ECU, RF Protocol is used to achieve the low cost engine immobiliser.
Algorithm is perphaps the oldest of scientific applications known to man. The upsurge of interest owes much to an increasing understanding of the scientific potential of Algorithms. This book explains in a lucid and straightforward way how these localisation and tracking problems can get accomplish with them. Each chapter is designed to take the reader quickly to the point at which meaningful scientific applications can be investigated.
Similarity searching is a process to find compounds that are similar to a target compound, which is useful in discovering potential drugs.this study is to optimize weights of different similarity measures in data fusion for searching chemical database by applying genetic algorithm (GA).Comparisons of different coefficient fusions were carried out.Using combination with weights ranging between 0.0 and 1.0 generated by genetic algorithm, gave a better number of active than the non-weighted combination.
NP-complete problem is a fascinating kind of problem because till now no one has discovered the polynomial-time algorithm to solve it and also no one has proved that no polynomial-time algorithm can exist for any NP-complete problem. It is an open research problem since it was first posed in 1971 to prove P?NP. This book specially focused on two NP-complete problems. 1. N-Queens problem: In Year 1848 chess player Max Bezzel had first time propose this problem in the form of 8-queens problem. And more than 100 year researcher try to solve n-queens problem but it’s still not completely solved. One implement algorithm describe in this book, which is able to provide one unique solution of n-queen problem in quadratic time. 2. Sum of subset problem: It is another NP-complete problem and one implement algorithm describe in this book which is able to provide all the solution to sum of subset problem and it takes less number of steps as compare to backtracking naive algorithm.
Graph theory is a well explored, but still expanding area of mathematics and computer science. Efficient algorithms for graph theoretic problems are of immense practical importance. There are numerous problems in graph theory that are NP-complete, i.e., no efficient algorithms can solve them in polynomial times. Genetic algorithms (GAs) are heuristic search and optimization technique where the search methods mimic some natural phenomena: genetic inheritance and survival of the fittest. In this work, GAs are applied successfully on some well-known NP-complete graph theoretic problems. Some other problems in fuzzy environments are also considered here.
A wireless adhoc network is a collection of wireless mobile nodes forming a temporary network without the aid of any established infrastructure or centralized administration. The wireless networks face challenges to form an optimal routing protocol. A set is dominating if all the nodes in the system are either in the set or neighbors of nodes in the set. Routing based on a connected dominating set is a Efficient approach, where the searching space for a route is reduced to nodes in the set, The proposed algorithm is an enhancement of the distributed algorithm proposed by Wu and Li. In this book, we propose a simple and efficient distributed algorithm for calculating connected dominating set in adhoc wireless networks, where connections of nodes are determined by their geographical distances. We also propose an update/recalculation algorithm for the connected dominating set when the topology of the adhoc wireless network changes dynamically. The simulation results show that the average dominating set of nodes decreased considerable after applying the new algorithm. Our approach can be potentially used in designing efficient routing algorithms based on a connected dominating set.
This book introduces the first step toward the implementation of the first new invented ghost radar at the world. It explains how the genetic algorithm is implemented through actual antenna arrays for direction of arrival estimation algorithm within the smart antenna systems. Smart antenna system is one of the most important systems in the wireless communication systems. Direction of arrival estimation algorithm has a necessary role to correctly define the direction of arrivals of the desired signals.Recently, the optimization methods are used broadly in the techniques for the direction of arrival estimation which are used to improve the accuracy and resolution of these techniques. Genetic Algorithm is a numerical technique used coherently with a non conventional least squares optimization method for correctly estimate the direction of arrival spectrum of the desired signals located in any hardly EM-affected signals environment.