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[PDF] Top 20 IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM

Has 10000 "IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM" found on our website. Below are the top 20 most common "IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM".

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM

... for concurrency Control are Locking and ...common distributed concurrency control technique is strong strict two-phase locking ... See full document

13

Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base

Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base

... on implementation of novel Concurrency Control methods using Artificial Neural Networks (ANN) and Fuzzy Logic with applications to Computer Aided Design / Computer Aided Manufacturing ... See full document

6

Performance evaluation of concurrency control and locking in distributed database systems

Performance evaluation of concurrency control and locking in distributed database systems

... the system design stage and algorithms comparison ...of distributed database system involves a detailed estimation o f the characteristic and functionality of the system architecture, ... See full document

248

Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic

Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic

... on implementation of novel Concurrency Control methods using Artificial Neural Networks (ANN) and Fuzzy Logic with applications to Computer Aided Design / Computer Aided Manufacturing ... See full document

7

Co-simulation framework for on-chip LiDAR sensors in a cyber-physical system

Co-simulation framework for on-chip LiDAR sensors in a cyber-physical system

... knowledge database and a library with three Artificial Intelligence-based methods by default ...(i.e., artificial neural network, self-organized map and support vector machine), ... See full document

14

Artificial Neural Network Classification for Gunshot Detection and Localization System

Artificial Neural Network Classification for Gunshot Detection and Localization System

... [14]. Girod, L., Lukac, M., Trifa, V., &Estrin, D. (2006, October). The design and implementation of a self- calibrating distributed acoustic sensing platform. In Proceedings of the 4th international ... See full document

5

An overview of Concurrency Control Techniques in Distributed Database

An overview of Concurrency Control Techniques in Distributed Database

... benefits, distributed database systems have not been widely used because of many problems in designing distributed database management system ...designed distributed DBMS as ... See full document

9

Concurrency Control and Security Issue in Distributed Database System

Concurrency Control and Security Issue in Distributed Database System

... A Distributed [3] database is a collection of databases which are distributed and then stored on multiple computers (otherwise called sites) within a ...the distributed database enjoy ... See full document

5

Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia

Neural Network Priority Use of BTS for Optimizing Telecommunications in Indonesia

... designing Artificial Neural Network modeling system which will be used to determine and recognize the pattern in predicting the villages becoming the priority of installation of BTS USO for ... See full document

5

Prolonging the Network Life Time in WSN through Computational Intelligence

Prolonging the Network Life Time in WSN through Computational Intelligence

... Flat Network ii) Cluster-Based Data Aggregation iii) Tree Based Data Aggregation iv) Grid Based Data ...different distributed nodes in a multi- sensor ...Class neural network which is inspired ... See full document

6

An approach of curing Depression by Artificial Neural          Networks (ANN)

An approach of curing Depression by Artificial Neural Networks (ANN)

... it. Neural Network one of the pillars of Artificial Intelligence is very similar to our central Nervous System (CNS) and depression affects our CNS very ...of Artificial Neural ... See full document

5

Design and implementation smart security system based on 
		Artificial 
		Neural Network

Design and implementation smart security system based on Artificial Neural Network

... Automatic Forensic Video Retrieval (AFVR): In this method ,the video (as footage ) is processing to get features from it and then build a video index, so when an incident happen, the investigators can searches the video ... See full document

11

Digital Synthetic Ripple Modulator (SRM) for DC-DC Converter

Digital Synthetic Ripple Modulator (SRM) for DC-DC Converter

... a system parameter unlike the traditional approach of using external oscillators and the modulation strategy is nothing but the bonding the error between the controlled variable and a command variable to a ... See full document

5

Concept of the Virtual Distributed Control System

Concept of the Virtual Distributed Control System

... Virtual models linking (created in th Control Web, WinCC etc.) and communication with the real stations Simatic S7-300, S7-200 is available through OPC server or through MPI interface and software PRODAVE MPI ... See full document

7

Artificial Neural Networks Application in Duplex/triplex Elevator Group Control System

Artificial Neural Networks Application in Duplex/triplex Elevator Group Control System

... the artificial neural networks has been inserted into an elevator group control system s for m inim izing the average passenger w aiting time and developed to model the behavior o f the ... See full document

12

Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges

Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges

... new network architectures such as SDN have been proposed in recent years to simply network management, network operators are still expected to know too much, and to correlate between what they know ... See full document

37

Vol 5, No 1 (2013)

Vol 5, No 1 (2013)

... Genetic algorithms we prove that no matter how close we are to the end of generations to converge to the optimal solutions are needed to reduce the rate of mutation operator. This technique will also lead to changes in ... See full document

15

Review of fragmentation and replication in Distributed Database

Review of fragmentation and replication in Distributed Database

... In Distributed System query sites requests the data from the data sites, so it is mandatory to manage the data on the data ...management, concurrency control, security, backup and recovery as ... See full document

6

Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges

Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges

... Some unsupervised algorithms such as deep NNs operate as a black box, which makes it difficult to explain and interpret the working of such models. This makes the use of such techniques unsuitable for applications in ... See full document

36

FPGA Implementation of Artificial Neural Network

FPGA Implementation of Artificial Neural Network

... computing, Artificial Neural Network plays dominant role in the field of Artificial ...for implementation of Artificial Neural Network (ANN), several approaches are ... See full document

8

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