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Paper Title |
Authors |
Conference |
Abstract |
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Improving the Noise Reduction Performance Using AEC-GSC for Reverberant Environments |
Pejman Mowlaee Begzade Mahale
Mohammad Hossein Kahaei
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
In this paper, noise reduction performance of the Generalized Side-lobe Canceller (GSC) algorithm and its
performance degradation under reverberant environments are briefly reviewed. An acoustic echo canceller
(AEC) is employed as a ... more
In this paper, noise reduction performance of the Generalized Side-lobe Canceller (GSC) algorithm and its
performance degradation under reverberant environments are briefly reviewed. An acoustic echo canceller
(AEC) is employed as a pre-processor for GSC noise reduction algorithm in order to improve the noise reduction
performance of the GSC especially in highly reverberant environments where GSC alone fails to work properly.
The proposed AEC-GSC algorithm consists of an AEC pre-processor, which includes Segment Variable Stepsize
Proportionate Normalized Least Mean Square (SVS-PNLMS) algorithm recently proposed, and the GSC
noise reduction algorithm.
The performance of both AEC-GSC and GSC alone is evaluated through computer simulations, using real
speech recordings in reverberant room environment. Through different computer simulations it is demonstrated
that the proposed AEC-GSC structure performs better than GSC alone in terms of speech distortion parameters
and ERLE. It also presents a better tracking behavior between the pause intervals during a speech signal due to
using the SVS-PNLMS algorithm in its AEC section. less
In this paper, noise reduction performance of the Generalized Side-lobe Canceller (GSC) algorithm and its
performance degradation under reverberant environments are briefly reviewed. An acoustic echo canceller
(AEC) is employed as a ... more |
خرید مقاله
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Scheduling for Input-Queued Switches based on High Throughput and QoS |
Changiz Roidel
Morteza Analoui
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
Input-Queued switch architecture has become attractive for implementing high performance routers
because the switching fabric and the buffer need not run at a multiple of input link's rate. It is
challenging to ... more
Input-Queued switch architecture has become attractive for implementing high performance routers
because the switching fabric and the buffer need not run at a multiple of input link's rate. It is
challenging to provide a scheduling technique that is both highly efficient and fair in resource
allocation. We propose an iterative Cell- based Fair scheduling (iCFS) scheme, based on SLIP that
support fair bandwidth distribution among flows and achieves asymptotically 100 percent
throughput. less
Input-Queued switch architecture has become attractive for implementing high performance routers
because the switching fabric and the buffer need not run at a multiple of input link's rate. It is
challenging to ... more |
خرید مقاله
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A Parallel Genetic Approach to Construct Near Optimal Binary Search Tree |
A. Fatemi
K. zamanifar
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
Many definitive and approximate methods have been so far proposed for the construction of an optimal binary
search tree. One such method is the use of evolutionary algorithms with satisfactorily improved ... more
Many definitive and approximate methods have been so far proposed for the construction of an optimal binary
search tree. One such method is the use of evolutionary algorithms with satisfactorily improved cost efficiencies.
This paper will propose a new genetic algorithm for constructing a near optimal binary search tree. In this
algorithm, a new greedy method is used for the crossover of chromosomes while a new way is also developed for
inducing mutation in them. Practical results show a rapid and desirable convergence towards the near optimal
solution. The use of a heuristic to create not so costly chromosomes as the first offspring, the greediness of the
crossover, and the application of elitism in the selection of future generation chromosomes are the most
important factors leading to near optimal solutions by the algorithm at desirably high speeds. Due to the
practical results, increasing problem size does not cause any considerable difference between the solution
obtained from the algorithm and exact solution. Task parallelism causes an improving effect on proposed
algorithm. less
Many definitive and approximate methods have been so far proposed for the construction of an optimal binary
search tree. One such method is the use of evolutionary algorithms with satisfactorily improved ... more |
خرید مقاله
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Multi-Agent Computer Network Routing System Based on Recursive Modeling Method and Bayesian Belief Update |
Kambiz Rahbar
Mohammad-R Akbarzadeh-T
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
This research addresses computer network routing based on recursive modeling method (RMM). In our
proposed method, each router as an intelligent agent uses RMM tree-like structure to make a rational and
intelligent ... more
This research addresses computer network routing based on recursive modeling method (RMM). In our
proposed method, each router as an intelligent agent uses RMM tree-like structure to make a rational and
intelligent decision on transmitting packages. This decision is made based on the models of other routers in the
network and its belief about them. However, as the network conditions vary with time, the needs of updating
each routers belief about others can not be neglected. To achieve this goal, Bayesian law is used to update routers
belief about others. To validate the proposed method, we test it as a computer simulation. The results show that
this method increases the network performance by decreasing the network overhead arising from routers
packages. Additionally, as the network dynamics increases, employing Bayesian law helps the routers to quickly
adapt to the new conditions. less
This research addresses computer network routing based on recursive modeling method (RMM). In our
proposed method, each router as an intelligent agent uses RMM tree-like structure to make a rational and
intelligent ... more |
خرید مقاله
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An Iterative Geometrical Noise Cancellation Approach to Closed-form Camera Pose Estimation |
Kambiz Rahbar
Hamid Reza Pourreza
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
This research addresses a new iterative geometrical noise cancellation method for closed-form camera pose
estimation based on collinearity theory. We first explain how to estimate camera position and it’s orientation by
employing ... more
This research addresses a new iterative geometrical noise cancellation method for closed-form camera pose
estimation based on collinearity theory. We first explain how to estimate camera position and it’s orientation by
employing extra nonsingular point of the edge line of the landmark’s corner through a closed-form geometrical
pose estimation algorithm. Then, we propose a new iterative noise cancellation algorithm to reduce the
estimation error of camera transaction matrix, which has the most portion in camera pose estimation errors. To
validate our proposed method, we test it as a computer simulation. The results show that this method is efficient,
accurate and robustness. But the drawback is that the camera rotation matrix, which used in noise cancellation
algorithm, may not always be inverseable. less
This research addresses a new iterative geometrical noise cancellation method for closed-form camera pose
estimation based on collinearity theory. We first explain how to estimate camera position and it’s orientation by
employing ... more |
خرید مقاله
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Process Agent: A Solution for Workflow Automation |
Hesam Chiniforooshan Esfahani
Seyed Hassan Mirian Hosseinabadi
Amirreza Abdolrashidi
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
Considerable speed of process engineering improvement and the consequent impact on workflow management
systems has brought up a new wave of researches in reconsidering current solutions for workflow systems and
proposing more ... more
Considerable speed of process engineering improvement and the consequent impact on workflow management
systems has brought up a new wave of researches in reconsidering current solutions for workflow systems and
proposing more brilliant ideas for such type of software systems. Agent technology as a semi-matured
methodology of software design, has introduced itself as a promising approach in building complex software
systems. In this paper we presented a simple ready for use agent architecture which can be deployed in many
types of workflow automations. less
Considerable speed of process engineering improvement and the consequent impact on workflow management
systems has brought up a new wave of researches in reconsidering current solutions for workflow systems and
proposing more ... more |
خرید مقاله
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An Automated Negotiation Technique for Self-interest Agents |
Hassan Kkosravi
Mohammad E. Shiri
Hamid Khosravi
Ehsan Iranmanesh
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
Due to the rapid growth of electronic environments (such as internet) much research is currently
being performed on autonomous trading mechanisms. Also in the last few years there has been an
increasing ... more
Due to the rapid growth of electronic environments (such as internet) much research is currently
being performed on autonomous trading mechanisms. Also in the last few years there has been an
increasing interest from the agent community in the use of techniques from decision theory and game
theory. Our paper connects theses two fields. In real world, when two agents negotiate, it seems rational
that they emphasize on their highest priorities first. We give a strategy based on the 7 types presented by
Raymund J. Lin and Seng-cho T. Chou [7] in which an agent can gain more profit by sacrificing or
delaying some high priority tasks. The focus of this paper is on negotiation of self interest agents. less
Due to the rapid growth of electronic environments (such as internet) much research is currently
being performed on autonomous trading mechanisms. Also in the last few years there has been an
increasing ... more |
خرید مقاله
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A New Approach to Early Software Reliability Prediction Based on a Formal Specification of System |
Hooshmand Alipour
Ayaz Isazadeh
Eslam Nazemi
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
Prediction of reliability in early phases of software development is one of the discussions which has been attracting
more and more attentions during the recent three decades. Techniques and models are ... more
Prediction of reliability in early phases of software development is one of the discussions which has been attracting
more and more attentions during the recent three decades. Techniques and models are mostly used at the test phase;
there are only a few models that are employed at early phase of software development. Early prediction, however, is
very important for better prognosis and management of risks.
In this paper we propose an approach for software reliability early prediction based on software behavior. The
major difference between our approach and those of others is the fact that we use a formal method, called
Viewcharts [1], to specify the behavior of software systems. less
Prediction of reliability in early phases of software development is one of the discussions which has been attracting
more and more attentions during the recent three decades. Techniques and models are ... more |
خرید مقاله
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Improvement on Concentrator Location Problem in Access Network Design using Growing Neural Network |
Sajjad Moradi
Bahador Bakhshi
Siavash Khorsandi
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
The goal of network topological design is to find a minimum cost configuration of network components. Design of
access network is discussed here. The objective is minimizing the access network cost ... more
The goal of network topological design is to find a minimum cost configuration of network components. Design of
access network is discussed here. The objective is minimizing the access network cost by means of finding optimal
number and location of concentrators. The network cost consists of the concentrators cost and cost of access links, that
connecting terminals to the concentrators. Here, contrary to most of other methods, which use candidate locations for
concentrators, the search space is continuous. Solution to the problem is improved in this article. The problem is solved
using a type of self organizing neural network called Growing Neural Network. In this method, terminal locations are
used as input of neural network and self organizing feature leads to optimal solution. Furthermore, an improved version
of the COM algorithm is proposed. Improvement is achieved by means of applying cost constraint in cluster merging
phase. The simulation results for different networks with various cost parameters show the new methods achieve the
better performance than that of previous methods. less
The goal of network topological design is to find a minimum cost configuration of network components. Design of
access network is discussed here. The objective is minimizing the access network cost ... more |
خرید مقاله
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The Anticipatory Classifier System for Function Approximation |
Amin Nikanjam
Adel Rahmani
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دوازدهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران |
The Anticipatory Classifier System (ACS) employs the learning classifier system framework and the learning
theory of anticipation behavioral control. The resulting evolutionary system can build an internal environmental
model and then applies ... more
The Anticipatory Classifier System (ACS) employs the learning classifier system framework and the learning
theory of anticipation behavioral control. The resulting evolutionary system can build an internal environmental
model and then applies reinforcement learning techniques to develop an optimal set of classifiers. XCSF is
another novel version of learning classifier systems (LCS) which introduced the concept of computable classifier
prediction and successfully applied to function-approximation problems. In this paper, we apply ACS to function
approximation. ACSF is a new version of ACS introduced to develop more accurate approximations. less
The Anticipatory Classifier System (ACS) employs the learning classifier system framework and the learning
theory of anticipation behavioral control. The resulting evolutionary system can build an internal environmental
model and then applies ... more |
خرید مقاله
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