Hindawi Publishing

Displaying 1-40 of 1806 results

  • White Papers // Aug 2009

    A Proposal for Automatic Testing of GUIs Based on Annotated Use Cases

    This paper presents a new approach to automatically generate GUI test cases and validation points from a set of annotated use cases. This technique helps to reduce the effort required in GUI modeling and test coverage analysis during the software testing process. The test case generation process described in this...

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  • White Papers // Jun 2009

    Improving Effort Estimation by Voting Software Estimation Models

    Estimating software development effort is an important task in the management of large software projects. The task is challenging, and it has been receiving the attentions of researchers ever since software was developed for commercial purpose. A number of estimation models exist for effort prediction. However, there is a need...

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  • White Papers // May 2009

    A Polyadic pi-Calculus Approach for the Formal Specification of UML-RT

    UML-RT is a UML real-time profile that allows modeling event-driven and distributed systems; however it is not a formal specification language. This paper proposes a formal approach for UML-RT through a mapping of the UML-RT communicating elements into the pi-calculus process algebra. The formal approach both captures the intended behavior...

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  • White Papers // May 2009

    Regression Test Selection for C Programs

    The authors present a regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression testing is done after modifying a program. Regression test selection refers to selecting...

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  • White Papers // Mar 2009

    Challenges and Improvements in Distributed Software Development: A Systematic Review

    Distributed Software Development (DSD) has recently evolved, resulting in an increase in the available literature. Organizations now have a tendency to make greater development efforts in more attractive zones. The main advantage of this lies in a greater availability of human resources in decentralized zones at less cost. There are,...

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  • White Papers // Sep 2011

    A Probability Collectives Approach With a Feasibility-Based Rule for Constrained Optimization

    This paper demonstrates an attempt to incorporate a simple and generic constraint handling technique to the Probability Collectives (PC) approach for solving constrained optimization problems. The approach of PC optimizes any complex system by decomposing it into smaller subsystems and further treats them in a distributed and decentralized way. These...

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  • White Papers // Aug 2011

    pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization

    Extractive multidocument summarization is modeled as a modified p-median problem. The problem is formulated with taking into account four basic requirements, namely, relevance, information coverage, diversity, and length limit that should satisfy summaries. To solve the optimization problem a self-adaptive differential evolution algorithm is created. Differential evolution has been proven...

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  • White Papers // Sep 2011

    Classification of Textual E-Mail Spam Using Data Mining Techniques

    A new method for clustering of spam messages collected in bases of anti-spam system is offered. The genetic algorithm is developed for solving clustering problems. The objective function is a maximization of similarity between messages in clusters, which is defined by k-nearest neighbor algorithm. Application of genetic algorithm for solving...

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  • White Papers // Aug 2011

    Prediction of Surface Roughness in End Milling Process Using Intelligent Systems: A Comparative Study

    A study is presented to model surface roughness in end milling process. Three types of intelligent networks have been considered. They are Radial Basis Function Neural networks (RBFNs), Adaptive NeuroFuzzy Inference Systems (ANFISs), and Genetically evolved Fuzzy Inference Systems (G-FISs). The machining parameters, namely, the spindle speed, feed rate, and...

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  • White Papers // Aug 2011

    Evolutionary Computation and Its Applications in Neural and Fuzzy Systems

    Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization. Structural optimization is a discrete optimization problem which is very hard to solve using conventional optimization techniques. Parametric optimization can be...

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  • White Papers // Jul 2011

    Design of Fixed and Ladder Mutation Factor-Based Clonal Selection Algorithm for Solving Unimodal and Multimodal Functions

    Clonal Selection Algorithms (CSAs) is a special class of Immune Algorithms (IA), inspired by the clonal selection principle of the human immune system. To improve the algorithm's ability to perform better, this CSA has been modified by implementing two new concepts called fixed mutation factor and ladder mutation factor. Fixed...

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  • White Papers // Apr 2011

    Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm

    This paper proposes solving Contingency-Constrained Optimal Power Flow (CC-OPF) by a Simplex-based Chaotic Particle Swarm Optimization (SCPSO). The associated objective of CC-OPF with the considered valve-point loading effects of generators is to minimize the total generation cost, to reduce transmission loss, and to improve the bus-voltage profile under normal or...

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  • White Papers // May 2011

    Null Steering in Failed Antenna Arrays

    Antenna array pattern nulling is desirable in order to suppress the interfering signals. But in large antenna arrays, there is always a possibility of failure of some elements, which may degrade the radiation pattern with an increase in Side Lobe Level (SLL) and removal of the nulls from desired position....

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  • White Papers // Apr 2011

    Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems

    The paper presents a novel hybrid evolutionary algorithm that combines Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithms. When a local optimal solution is reached with PSO, all particles gather around it, and escaping from this local optima becomes difficult. To avoid premature convergence of PSO, the authors present...

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  • White Papers // Feb 2011

    A New Framework of Multiphase Segmentation and Its Application to Partial Volume Segmentation

    The authors proposed a novel framework of multiphase segmentation based on stochastic theory and phase transition theory. Their main contribution lies in the introduction of a constructed function so that its composition with phase function forms membership functions. In this way, it saves memory space and also avoids the general...

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  • White Papers // Feb 2011

    Flexible-Segmentation-Jumping Strategy to Reduce User-Perceived Latency for Video on Demand

    Traditionally, people usually watch a video from the beginning and continuously to the end; this is changed by the concept and application of Video-On-Demand (VOD). Users do not want to wait for a long time when they seek some specific content in a video; they want to instantly watch any...

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  • White Papers // Nov 2010

    Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks

    In recent years, wireless sensor networks have been attracting considerable research attention for a wide range of applications, but they still present significant network communication challenges, involving essentially the use of large numbers of resource constrained nodes operating unattended and exposed to potential local failures. In order to maximize the...

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  • White Papers // Aug 2010

    Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System

    Route selection in metropolises based on specific desires is a major problem for city travelers as well as a challenging demand of car navigation systems. This paper introduces a multiparameter route selection system which employs Fuzzy Logic (FL) for local pheromone updating of an Ant Colony System (ACS) in detection...

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  • White Papers // Apr 2010

    Modeling and Evolutionary Optimization on Multilevel Production Scheduling: A Case Study

    Multilevel production scheduling problem is a typical combinatorial optimization problem in a manufacturing system, which is traditionally modeled as several hierarchical sublevel problems and optimized at each level, respectively. An integrated model, which can cope with the whole multilevel scheduling information simultaneously, is proposed in this paper, and a specific...

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  • White Papers // Apr 2010

    A Review of Gait Optimization Based on Evolutionary Computation

    Gait generation is very important as it directly affects the quality of locomotion of legged robots. As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions. This paper reviews the techniques used in evolution-based gait optimization, including why Evolutionary Computation techniques should...

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  • White Papers // Mar 2010

    A Distributed Bio-Inspired Method for Multisite Grid Mapping

    Computational grids assemble multisite and multiowner resources and represent the most promising solutions for processing distributed computationally intensive applications, each composed by a collection of communicating tasks. The execution of an application on a grid presumes three successive steps: the localization of the available resources together with their characteristics and...

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  • White Papers // Feb 2010

    Adaptive Representations for Improving Evolvability

    Gene Expression Programming (GEP) is a genetic algorithm that evolves linear chromosomes encoding nonlinear (tree-like) structures. In the original GEP algorithm, the genome size is problem specific and is determined through trial and error. In this paper, a method for adaptive control of the genome size is presented. The approach...

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  • White Papers // Jan 2010

    A Review of Constraint-Handling Techniques for Evolution Strategies

    Evolution strategies are successful global optimization methods. In many practical numerical problems constraints are not explicitly given. Evolution strategies have to incorporate techniques to optimize in restricted solution spaces. Famous constraint handling techniques are penalty and multiobjective approaches. Past work has shown that in particular an ill-conditioned alignment between the...

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  • White Papers // Jan 2010

    Dividing Genetic Computation Method for Robust Receding Horizon Control Design

    A new robust Receding Horizon Control (RHC) design approach for the sampled-data systems is proposed. The approach is based on a dividing genetic computation of minimax optimization for a robust finite receding horizon control problem. Numerical example is given to show the effectiveness of the proposed method. In last few...

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  • White Papers // Jan 2010

    Efficient Use of Variation in Evolutionary Optimization

    Evolutionary algorithms face a fundamental trade-off between exploration and exploitation. Rapid performance improvement tends to be accompanied by a rapid loss of diversity from the population of potential solutions, causing premature convergence on local rather than global optima. However, the rate at which diversity is lost from a population is...

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  • White Papers // Jan 2010

    Black-Scholes Fuzzy Numbers as Indexes of Performance

    The authors use the set of propositions of some previous papers to define a fuzzy version of the Black-Scholes value where the risk free instantaneous interest intensity, the volatility and the initial stock price are fuzzy numbers whose parameters are built with statistical financial data. With their Black-Scholes fuzzy numbers...

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  • White Papers // Oct 2009

    Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model With Gamma Memory Filter

    A Focused Time Lagged Recurrent Neural Network (FTLR NN) with gamma memory filter is designed to learn the subtle complex dynamics of a typical CSTR process. Continuous stirred tank reactor exhibits complex nonlinear operations where reaction is exothermic. It is noticed from literature review that process control of CSTR using...

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  • White Papers // Jun 2009

    A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW

    A neuro-fuzzy controller was designed and implemented using LabVIEW over a mobile robotic platform. The controller is based on fuzzy clusters, neural networks, and search techniques. Also, wireless communication with Bluetooth protocol was used to communicate the robot with the controller running in LabVIEW, allowing a simple collaborative task that...

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  • White Papers // Jun 2009

    A Neural Network: Family Competition Genetic Algorithm and Its Applications in Electromagnetic Optimization

    This paper proposes a Neural Network-Family Competition Genetic Algorithm (NN-FCGA) for solving the ElectroMagnetic (EM) optimization and other general-purpose optimization problems. The NN-FCGA is a hybrid evolutionary-based algorithm, combining the good approximation performance of Neural Network (NN) and the robust and effective optimum search ability of the Family Competition Genetic...

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  • White Papers // Jul 2009

    The Measurement Paradox in Valiant Network Design

    In recent years the difficulties in measurement and prediction of Internet traffic matrices have prompted a number of routing and network design strategies broadly termed "Oblivious". They are oblivious in the sense that they guarantee performance under any possible traffic matrix. This appealing property has a cost: extra capacity is...

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  • White Papers // Oct 2011

    Channel Parameter Estimation for Scatter Cluster Model Using Modified MUSIC Algorithm

    Recently, the scatter cluster models which precisely evaluate the performance of the wireless communication system have been proposed in the literature. However, the conventional SAGE algorithm does not work for these scatter cluster-based models because it performs poorly when the transmit signals are highly correlated. In this paper, the authors...

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  • White Papers // Sep 2011

    Vertical Meandering Approach for Antenna Size Reduction

    A novel vertical meandering technique to reduce the lateral size of a planar printed antenna is presented. It is implemented by dividing a conventional spiral patch into a different number of segments and placing them on different sides of the microwave substrate with vias as the connections. To confirm the...

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  • White Papers // Sep 2011

    A Novel Dual-Band MIMO Antenna with Lower Correlation Coefficient

    This paper demonstrates a novel dual-band operated MIMO antenna which consisted of planar monopole (main antenna) and 3D slot element (auxiliary antenna). The main antenna is printed on a 1.6mm thick FR4 board, while the auxiliary antenna is fabricated with gold-coated copper. A lumped impedance network is applied to enhance...

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  • White Papers // Sep 2011

    RCS Computation by Parallel MoM Using Higher-Order Basis Functions

    A Message-Passing Interface (MPI) parallel implementation of an integral equation solver that uses the Method of Moments (MoM) with higher-order basis functions has been proposed to compute the Radar Cross-Section (RCS) of various targets. The block-partitioned scheme for the large dense MoM matrix is designed to achieve excellent load balance...

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  • White Papers // Sep 2011

    Microstrip Patch Antenna Bandwidth Enhancement Using AMC/EBG Structures

    Microstrip patch antennas offer an attractive solution to compact and ease-low-cost design of modern wireless communication systems due to their many advantages as light weight and low volume, low profile, planar configuration which can be easily made conformal to host surface, low fabrication cost, and the capability of obtaining dual...

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  • White Papers // Sep 2011

    Spatial Correlation and Ergodic Capacity of MIMO Channel in Reverberation Chamber

    It has previously been shown that a reverberation chamber can conveniently be used to measure ergodic Multiple-Input Multiple-Output (MIMO) capacity for Over-The-Air (OTA) tests. However, the MIMO channel in the reverberation chamber has not been fully studied before. In this paper, the spatial correlation of the MIMO channel in the...

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  • White Papers // Sep 2011

    High-Performance Computational Electromagnetic Methods Applied to the Design of Patch Antenna with EBG Structure

    In this contribution High-Performance Computing electromagnetic methods are applied to the design of a patch antenna combined with EBG structure in order to obtain bandwidth enhancement. The electrical characteristics of the embedded structure (patch antenna surrounded by EBG unit cells) are evaluated by means of Method of Moment technique (MoM)...

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  • White Papers // Sep 2011

    Design and Optimization of an EBG Antenna with an Efficient Electromagnetic Solver

    A novel Electromagnetic BandGap (EBG) antenna has been designed, optimized, and analyzed using an efficient electromagnetic solver based on the moment method. Very good agreement between simulations and measurements in anechoic chamber has been obtained. Comparisons of the antenna with and without the EBG structure have been conducted to study...

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  • White Papers // Aug 2011

    Effect of Polarization on the Correlation and Capacity of Indoor MIMO Channels

    The authors describe a simple Multiple-Input/Multiple-Output (MIMO) channel measurement system for acquiring indoor MIMO channel responses. Four configurations of the polarization diversity antenna, referred to as VVV, YYH, YVY and VHH, were studied in terms of the capacity of indoor MIMO systems. Measurements were taken for a 3?3 MIMO system...

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  • White Papers // Sep 2011

    A New Generation Method for Spatial-Temporal Correlated MIMO Nakagami Fading Channel

    A new generation method for spatial and temporal correlated Multiple-Input Multiple-Output (MIMO) Nakagami fading channel is proposed, which has low complexity and is applicable for arbitrary fading parameters and prespecified correlation coefficients of different subchannel. The new scheme can be divided into two steps: generate independent Nakagami fading sequences for...

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