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Paper Title Authors Conference Abstract
A Learning Automata Based Data Aggregation Method for Sensor Networks M. Esnaashari
M. R. Meybodi
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
One way to reduce energy consumption in wireless sensor networks is to reduce the number of packets being transmitted in the network. Data aggregation technique, in which packets with related information ... more
One way to reduce energy consumption in wireless sensor networks is to reduce the number of packets being transmitted in the network. Data aggregation technique, in which packets with related information are combined together in intermediate nodes before further forwarding towards their destination, shown to be a good solution for this purpose. It is clear that more related information along the paths each packet traverse results in higher aggregation ratio. If the information each node has, varies from time to time, finding paths along which more nodes with related information exist becomes a complicated task. In this paper, a learning automata based data aggregation method in sensor networks will be proposed. Each node of the sensor network is equipped with a learning automaton which learns the path along which the aggregation ratio is maximum. Simulation results show that the proposed method performs well in situations where nodes having related information vary during the network's lifetime. less
One way to reduce energy consumption in wireless sensor networks is to reduce the number of packets being transmitted in the network. Data aggregation technique, in which packets with related information ... more
خرید مقاله
Adaptive Forgetting Factor RLS Algorithm Based on Gradient of Inverse Correlation Matrix Applied to Human Motion Analysis Hadi Sadoghi Yazdi
Seyed Ebrahim Hosseini
Mohammad Reza Mohammadi
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A new dynamic forgetting factor (DFF) for RLS algorithm is presented. The proposed DFF-RLS is compared to other ... more
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A new dynamic forgetting factor (DFF) for RLS algorithm is presented. The proposed DFF-RLS is compared to other methods. Better performance at convergence and tracking of noisy chirp sinusoid is achieved. The control of the forgetting factor at DFF-RLS is based on the gradient of inverse correlation matrix. Compared with the gradient of mean square error algorithm, the proposed approach provides faster tracking and smaller mean square error. In low signal-to-noise ratios, the performance of the proposed method is superior to other approaches. less
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A new dynamic forgetting factor (DFF) for RLS algorithm is presented. The proposed DFF-RLS is compared to other ... more
خرید مقاله
Code Generation and Scheduling for Parallelization of Multi-Dimensional Perfectly Nested Loops Saeed Parsa
Shahriar Lotfi
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Tiling transformation is widely used to efficiently execute loops on parallel architectures. Automatic code generation for tiled loops can be a very complicated compiler work due to non-rectangular tile shapes and arbitrary ... more
Tiling transformation is widely used to efficiently execute loops on parallel architectures. Automatic code generation for tiled loops can be a very complicated compiler work due to non-rectangular tile shapes and arbitrary iteration space bounds. A wave-front approach can simplify code generation for tiled loops. In this paper wave-fronts are applied to generate code for multi-dimensional irregular tiled loops. Also, an improved block scheduling strategy is presented to exploit wave-front parallelism for multi-dimensional tiled spaces. Experimental results show that the proposed scheduling strategy outperforms likely most currently implemented strategies. less
Tiling transformation is widely used to efficiently execute loops on parallel architectures. Automatic code generation for tiled loops can be a very complicated compiler work due to non-rectangular tile shapes and arbitrary ... more
خرید مقاله
Traffic Analysis of f-cube Fault-Tolerant Routing Algorithm in Mesh Interconnection Networks A. Nayebi
A. Shamaei
S. G. Miremadi
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper presents a detailed traffic analysis of f-cube routing algorithm. Per-node traffic analysis illustrates the traffic hotspots caused by fault regions and provides a great assistance in developing fault tolerant ... more
This paper presents a detailed traffic analysis of f-cube routing algorithm. Per-node traffic analysis illustrates the traffic hotspots caused by fault regions and provides a great assistance in developing fault tolerant routing algorithms. Moreover, the effect of a traffic hotspot on the traffic of neighbor nodes and global performance degradation is investigated, here. Currently, some coarse measures like global network latency are used to compare routing protocols. These measures do not provide enough insight of traffic distribution in presence of different fault regions. To analyze the per-node traffic, some per-node traffic measures are introduced here and one of them is selected for the rest of work. Different fault regions (single node, vertical line, horizontal line, and rectangular) in different places of a mesh network are simulated and the results are compared and interpreted. In an effort to gain deep understanding of the issue of traffic analysis of faulty networks, this paper is the first attempt to investigate per-node traffic around fault regions. less
This paper presents a detailed traffic analysis of f-cube routing algorithm. Per-node traffic analysis illustrates the traffic hotspots caused by fault regions and provides a great assistance in developing fault tolerant ... more
خرید مقاله
Evolutionary Design of Gabor Filters with Application to Writer Identification Ali Borji
Caro Lucas
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Previous studies have shown the advantages of Gabor filters for the purpose of writer identification. Current study attempts to show that designing a set of such filters is domain specific however ... more
Previous studies have shown the advantages of Gabor filters for the purpose of writer identification. Current study attempts to show that designing a set of such filters is domain specific however tuning of their parameters is not an easy task. Here we use genetic algorithms as a systematic approach to search in the space of filter parameters to choose a set of best filters for the problem of offline writer identification based on handwriting. Specifically, each chromosome encodes the parameters of filters and then during an evolutionary process those filters which show the best classification performance are selected. Identification was performed using two different classifiers: weighted Euclidean distance (WED) and nearest neighbor classifier (KNN). Our results show the superiority of proposed method compared with traditional Gabor filters and Gray Scale Co-occurrence matrices (GSCM). less
Previous studies have shown the advantages of Gabor filters for the purpose of writer identification. Current study attempts to show that designing a set of such filters is domain specific however ... more
خرید مقاله
Accuracy-based Classifier Systems Using Evolutionary Neural Networks Representation M. Sabeti
P. Zahadat
S. D. Katebi
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Accuracy-based classifier systems (XCS) traditionally use a binary string rule representation with wildcards added to allow for generalization over the population encoding. However, the simple scheme has some of drawbacks in complex ... more
Accuracy-based classifier systems (XCS) traditionally use a binary string rule representation with wildcards added to allow for generalization over the population encoding. However, the simple scheme has some of drawbacks in complex problems. A neural network-based representation is used to aid their use in complex problem. Here each rule's condition and action are represented by a small network evolved through the action of the genetic algorithm. Also in this work a second neural network is used as classifier's prediction, trained by back propagation. After describing the changes required to the standard XCS functionality, the results are presented using neural network to represent individual rules. Examples of use are given to illustrate the effectiveness of the proposed approached. less
Accuracy-based classifier systems (XCS) traditionally use a binary string rule representation with wildcards added to allow for generalization over the population encoding. However, the simple scheme has some of drawbacks in complex ... more
خرید مقاله
A Novel Method to support C-element in Conventional EDA Tools M. Mirzaaghatabar
Sh. Hessabi
H. Pedram
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Lack of global clock for synchronization in asynchronous circuits decreases the controllability of these circuits and thus makes asynchronous circuits hard to test. Delay Insensitive (DI) circuits exclusively use C-elements and ... more
Lack of global clock for synchronization in asynchronous circuits decreases the controllability of these circuits and thus makes asynchronous circuits hard to test. Delay Insensitive (DI) circuits exclusively use C-elements and inverters, provided that only single output gates are used. In this paper we present a new method to conceptually change this class of asynchronous circuits. The main idea is to change C-elements into other elements which can be modeled by synchronous tools. Then we use HOPE, a synchronous sequential circuits fault simulator, and apply it to DI class of asynchronous circuits. The stuck-at model is used for fault simulation. Our observations show that we can achieve considerable fault coverage, mainly 92.5%, in DI circuits by this method. To the best of our knowledge, this is the first effort in using synchronous tool to achieve fault simulation for asynchronous circuit class. less
Lack of global clock for synchronization in asynchronous circuits decreases the controllability of these circuits and thus makes asynchronous circuits hard to test. Delay Insensitive (DI) circuits exclusively use C-elements and ... more
خرید مقاله
Fault Tolerance in a RISC Asynchronous Processor Using Flow Graph Checking M. Mirzaaghatabar
S. G. Miremadi
H. Pedram
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper introduces a fault-tolerant asynchronous RISC microprocessor, called FTARM, which combines several error detection mechanisms to increase the fault coverage. The FTARM is implemented using the verilog. To evaluate the FTARM, ... more
This paper introduces a fault-tolerant asynchronous RISC microprocessor, called FTARM, which combines several error detection mechanisms to increase the fault coverage. The FTARM is implemented using the verilog. To evaluate the FTARM, different workloads were run on its implementation using the Verilog HDL. The evaluation is based on some thing about 2000 different transient and permanent single stuck-at-faults. The results show that more than 98% faults were detected. The Verilog model of FTARM is synthesized, where about 25% area overhead was observed. less
This paper introduces a fault-tolerant asynchronous RISC microprocessor, called FTARM, which combines several error detection mechanisms to increase the fault coverage. The FTARM is implemented using the verilog. To evaluate the FTARM, ... more
خرید مقاله
Performance Evaluation of Large Scale Networks,Challenges And Guidelines Elham Darmanaki Farahani
Mahmoud Fathy
Mehran Tarahomi
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper is an overview of benchmarks and tools being used for large scale network performance evaluation analysis, modeling, simulation and Benchmarking. In this paper we first describe some performance evaluation metrics ... more
This paper is an overview of benchmarks and tools being used for large scale network performance evaluation analysis, modeling, simulation and Benchmarking. In this paper we first describe some performance evaluation metrics and approaches and then we introduce some simulation and analysis tools for this purpose. But our emphasize on this paper is on benchmarking and in this way, we introduce more than 10 benchmark in network performance evaluation. We have chosen Web server Stress Benchmark as one of the most powerful benchmarks .Then, we have done three tests on this benchmark, but in this paper we show only one of these tests. As we expected this benchmark has very features and provides a number of robust and flexible reports and logging features to help you gather valuable data about your Web server and website performance. less
This paper is an overview of benchmarks and tools being used for large scale network performance evaluation analysis, modeling, simulation and Benchmarking. In this paper we first describe some performance evaluation metrics ... more
خرید مقاله
Moving Cast Shadow Detection Using Texture Information Mani Ranjbar
Shohreh Kasaei
دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
In this paper, we have proposed an efficient moving cast shadow detection using texture features. Texture features are estimated using fractal dimension and is employed to discriminate between shadow region and moving ... more
In this paper, we have proposed an efficient moving cast shadow detection using texture features. Texture features are estimated using fractal dimension and is employed to discriminate between shadow region and moving foreground region. Complexity and noise reduction is achieved using wavelet transform which has not been performed before in the literature. Block-wise calculation has accelerated the method. The proposed texture modeling method unlike most other approaches is able to cope with very dark shadows as well as light shadows. less
In this paper, we have proposed an efficient moving cast shadow detection using texture features. Texture features are estimated using fractal dimension and is employed to discriminate between shadow region and moving ... more
خرید مقاله
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