[PDF] Top 20 A Study on Network-On-Chip architecture using Genetic Algorithm
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A Study on Network-On-Chip architecture using Genetic Algorithm
... switches. Network interface is a system's (software and/or hardware) interface between two pieces of equipment or protocol layers in a computer ...has network address in which node information's are stored. ... See full document
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1. An empirical study for an improvement of cellular network using genetic algorithm
... As shown in Figure 1, a given carrier can be reused in two separate geographical areas, as long as these areas are far enough from each other to reduce the effect of interference. To handle this problem the cells need to ... See full document
8
Comparative Study of Particle Swarm Optimization and Genetic Algorithm for the Migration from an Existing Network to a New Generation Network
... In wireless networks, Base station (BS) optimal positioning is a fundamental issue as it represents a significant investment for operators in terms of installation costs and energy consumption [1]. It is also a guarantee ... See full document
11
Genetic algorithm for the cargo shunting cooperation between two hub-and-spoke logistics networks
... logistics network service ability and ...the network, and the transshipment cost between the networks can affect the total cost and parameters that control traffic and transport costs between networks have ... See full document
17
Design and Evaluation of Cubic Torus Network on Chip Architecture
... interconnection network are mesh/torus ...analyzed using the two types of properties in the initial study of the topology the four basic physical properties of the topology used to get the estimate ... See full document
5
Comparative Study between Leach,Leah-EGenetic Algorithm and Elliptic Curve Cryptography Techniques to Secure Against Sybil Attack In WSN
... a network organize themselves into local clusters, with one node acting as the ...increase network lifetime, the node should minimize the energy dissipation and optimize ...LEACH-E Genetic ... See full document
18
Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... earnings using an “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 firms in 7 financial years, ... See full document
8
Spam detection using hybrid of artificial neural network and genetic algorithm
... this study, improving of neural network algorithm has been done to save time for parameter selection and to optimize network training in order to increase the performance of spam detection, ... See full document
23
Genetic algorithm based routers arrangement in network on chip using the union multiprocessor
... is Genetic algorithm, which is used to find parent node data for router arrangement and it also analyzes the shortest path in the NOC to transmit the data efficiently with the help of genetic ... See full document
5
An Efficient Directional Routing Algorithm For Network On Chip
... single chip to perform the different functionalities of application specific ...the architecture and increase the wiring ...same chip, because of these confinements, no actual structure for combined ... See full document
6
FPGA IMPLEMENTATION OF ARBITERS ALGORITHM FOR NETWORK-ON-CHIP
... one chip approaches, a lot of Processing Elements (PEs) could be located on a System-on Chip ...single chip, the significance of fast and powerful arbiters commands additional ...a ... See full document
6
A transcription factor network specifying inhibitory versus excitatory neurons in the dorsal spinal cord
... the genetic requirement for neural bHLH TFs in generating the correct number and composition of neurons in the central nervous ...utilizing ChIP-Seq. In this study, we identify numerous direct ... See full document
11
Network on Chip Architecture and Routing Techniques: A survey
... as network is not blocked and routing does not meet inactive routers ...The algorithm bypasses packets around the inactive routers along the shortest possible ... See full document
5
Performance Improvement of Application Specific Network on Chip Design using Genetic Algorithm
... optimal algorithm aiming at minimizing total traffic on network, the number of hops, and hardware ...Bound algorithm, presented in [5] has been able to map IP cores on tile-based NoC ... See full document
6
Network-on-Chip Architecture Based on Cluster Method
... insertion algorithm proposed by [1], we have to consider all the possibilities when we just insert one long-range ...whole network has not been mostly optimized, and it cannot guarantee the low energy ... See full document
5
A Survey on Network Security Using Genetic Algorithm
... 2. Rex Maced Arokiarai, A.Bannari, Sathyamana Glam Shanmngam proposed in this paper, description of the framework to solve the security threats by designing and address based cryptography scheme, An address based ... See full document
7
The Use of a Genetic Algorithm for Simultaneous Mapping of Multiple Interacting Quantitative Trait Loci
... a genetic algorithm using a weighted least-squares tions of the two QTL we are fitting (two ga-genes are method to search for two interacting QTL in a cross used to represent the chromosome numbers ... See full document
8
Experimental study on electricity price forec...
... In this work electricity price forecasting in the newly deregulated market is studied in detail. Previously reported price forecasting methods are discussed and some of the main input variables that play a crucial role ... See full document
7
3D Arbitrary Channel Fabrication for Lab on a Chip Applications using Chemical Decomposition
... flown through these channels to verify the smooth flow. The SEM images shown in Fig. 3(b) is the cross sectional images of both channels. The images indicates a smooth channel with no or negligible harm to PDMS. A two ... See full document
8
Testing Currency Predictability Using An Evolutionary Neural Network Model
... learning algorithm is evaluated and the Genetically altered MLP ...evaluated using two different types of measures, specifically the well known Correlation Coefficient (CC) and the Mean Relative Error ...a ... See full document
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