Hindawi Publishing

Displaying 1-40 of 1821 results

  • White Papers // Sep 2014

    The Feasibility of Exploiting IEEE 802.11n for Addressing MAC Layer Overheads in UASNs

    Underwater Acoustic Sensor Networks (UASNs) consist of remotely deployed sensor nodes under sea or other water environments. Due to the extreme limitations faced by radio signals under water, acoustic channels are utilized for communication in such networks. However, UASNs are challenged by the characteristics of underwater acoustic channels such as...

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  • White Papers // Sep 2014

    Energy-Efficient Policy Based on Cross-Layer Cooperation in Wireless Communication

    Recently, the merits of cooperative communication in the physical layer have been explored. However, the impact of cooperative communication on the design of the higher layers has not been well understood yet. Cooperative communication has emerged as a new wireless network communication concept, in which parameter optimization such as cross-layer...

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  • White Papers // Sep 2014

    A Location Estimation Algorithm Based on RSSI Vector Similarity Degree

    The authors present a detailed study on the RSS-based location techniques in Wireless Sensor Networks (WSN).There are two aspects in this paper. On the one hand, the accurate RSSI received from nodes is the premise of accurate location. Firstly, the distribution trend of RSSI is analyzed in this experiment and...

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  • White Papers // Aug 2014

    Cognitive Multihop Wireless Sensor Networks over Nakagami-m Fading Channels

    Considering the effect of imperfect Channel State Information (CSI), the authors study the performance of a cluster-based cognitive multihop wireless sensor network with Decode-and-Forward (DF) partial relay selection over Nakagami-m fading channels. The closed form expressions for the exact outage probability and Bit Error Rate (BER) of the secondary system...

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  • White Papers // Aug 2014

    PUAR: Performance and Usage Aware Routing Algorithm for Long and Linear Wireless Sensor Networks

    Aiming at requirements of performance and usage in the monitoring of tunnels with the long and linear structure, this paper demonstrates a low-energy and Quality of Service (QoS) supported uneven clustering routing algorithm based on the labor cost called PUAR. PUAR realizes uneven clusters by a designed cluster radius related...

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  • White Papers // Aug 2014

    Transmission Power Controlled Localization with Topology Building for NLOS Environments

    The network which knows location of all nodes can improve the network capacity and lifetime in location-aware networks. However, localization algorithm of the network has to update its target node location due to mobility of target nodes and intermittent occurrence of interference. The update procedures cause frequent broadcasting and calculation...

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  • White Papers // Aug 2014

    An Efficient Localization Method Based on Adaptive Optimal Sensor Placement

    The authors propose a ZigBee-based localization method that estimates the distance between ZigBee nodes employing the strength of wireless signal. It enables the user to track the location of a user by means of trilateration, using the distance between fixed nodes deployed at predetermined locations and a mobile base station....

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  • White Papers // Aug 2014

    The Optimization Model of Target Recognition Based on Wireless Sensor Network

    In the application of opportunistic networking in wireless sensor network, the technology of target recognition is very important. However, since the sensor reports are typically inconsistent, incomplete, or fuzzy, the technology of target recognition whereby sensor reports is a major challenge. In this paper, based on the minimization of inconsistencies...

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  • White Papers // Aug 2014

    In-Network Filtering Schemes for Type-Threshold Function Computation in Wireless Sensor Networks

    Data collection in Wireless Sensor Networks (WSNs) can become extremely expensive in terms of power consumption if all measurements have to be fetched. However, since multiple applications do not require data from all nodes but to compute a function over a smaller data set, much of the available data on...

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  • White Papers // Aug 2014

    Industrial Wireless Sensor Networks

    Industrial Wireless Sensor Networks (IWSNs) incorporate wireless sensor networks with intelligent industrial systems providing many advantages over existing industrial applications, such as wireless communication, low cost, rapid deployment, self-organization, intelligent controlling, and processing capability. With the proliferation of wireless sensor networks in industrial applications, IWSNs technologies promise to play a...

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  • White Papers // Aug 2014

    Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper

    Data Source Location Privacy (DSLP) is of great importance for some asset monitoring applications in Wireless Sensor Networks (WSNs). Besides the Source Simulation (SS) method to protect the DSLP against a global eavesdropper in WSNs, other existing methods are based on the Panda-Hunter Game Model (PHGM) without considering the communication...

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  • White Papers // Aug 2014

    EHCM: A Multihop Aided Wireless Routing Protocol Based on Flow Priority in Smart Grid

    In traditional smart grid, Data Aggregator (DA) and Distribution Box (DB) send the data collected by sensors to Base Station (BS) through cellular interface, which is called Single-hop Communication Mode (SCM). In smart grid, different data packets have different delay priorities and the BS cannot satisfy all the delay requirements...

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  • White Papers // Aug 2014

    Parking Backbone: Toward Efficient Overlay Routing in VANETs

    In Vehicular Ad hoc NETworks (VANETs), message dissemination to one or more vehicles is very challenging, due to frequent network disconnections and uncertain locations of the destination vehicles. Deploying RoadSide Units (RSUs) is a possible solution to overcome the challenges, but it often requires a large amount of investment. In...

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  • White Papers // Aug 2014

    Sequential Uniformly Reweighted Sum-Product Algorithm for Cooperative Localization in Wireless Networks

    Graphical models have been widely applied in solving distributed inference problems in wireless networks. In this paper, the authors formulate the cooperative localization problem in a mobile network as an inference problem on a factor graph. Using a sequential schedule of message updates, a Sequential Uniformly ReWeighted Sum-Product Algorithm (SURW-SPA)...

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  • White Papers // Aug 2014

    TDMA-Based Control Channel Access for IEEE 802.11p in VANETs

    Motivated by an efficient broadcast service in Vehicular Ad hoc NETworks (VANETs), the authors propose a TDMA-based channel access scheme for IEEE 802.11p Control CHannel (CCH). The scheme reduces the rate of transmission collisions and improves the availability of time slots on the control channel by adjusting disjoint sets of...

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  • White Papers // Aug 2014

    A Negotiation-Based TDMA Scheduling with Consecutive Slots Assignment for Wireless Sensor Networks

    TDMA protocols are recognized to save energy consumption by avoiding unnecessary idle listening and communication collision. As sensor nodes are usually equipped with limited resource supply, they are thus desirable to improve network capacity and energy efficiency by adopting TDMA scheduling for Wireless Sensor Networks (WSNs).This paper proposes a TDMA...

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  • White Papers // Aug 2014

    Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks

    Current advancements in vehicular networking lead to amplifying the issue of spectrum scarcity. Cognitive Radio (CR) has emerged as the key technology that enables flexible, efficient, and reliable spectrum exploiting by unlicensed networks to use licensed spectrum bands in an opportunistic manner to alleviate the spectrum scarcity issue. The authors...

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  • White Papers // Aug 2014

    Organizing and Querying the Big Sensing Data with Event-Linked Network in the Internet of Things

    Massive sensing data are generated continuously in the Internet of Things. How to organize and how to query the big sensing data are big challenges for intelligent applications. This paper studies the organization of big sensing data with Event-Linked Network (ELN) model, where events are regarded as primary units for...

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  • White Papers // Jul 2014

    An Improved Directional Broadcast Algorithm Based on Brownian Motion

    Several broadcast algorithms have been developed in recent years. However, the problem of reducing routing overhead in ad hoc networks is always to be concerned. This paper proposes an improved Directional Broadcast algorithm based on Brownian motion for AODV protocol (DBB-AODV). The authors bring Brownian motion into network model and...

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  • White Papers // Jul 2014

    Three Dimensional Wireless Ad Hoc and Sensor Networks

    Both wireless ad hoc and sensor networks have brought the people new possibilities to utilize useful information around the environments. Moreover, with the development of ad hoc and sensor networks, more complicated and challenging applications can be targeted by small and intelligent systems. However, since most of current paper on...

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  • White Papers // Jul 2014

    An Optimized Strategy Coverage Control Algorithm for WSN

    The problem of using lesser wireless sensor network nodes to achieve coverage and connection of certain areas under given coverage conditions is a priority and hotspot issue of WSN. For this reason, in this paper, an Optimized Strategy Coverage Control (OSCC) algorithm is proposed. First of all, a relation mapping...

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  • White Papers // Jul 2014

    Adaptive Quantization for Distributed Estimation in Energy-Harvesting Wireless Sensor Networks: A Game-Theoretic Approach

    The problem of distributed estimation in Energy-Harvesting Wireless Sensor Networks (EH-WSNs) is studied. In general, the energy state of an energy-harvesting sensor varies dramatically. Existing efforts mainly concentrate on the problem of distributed estimation for battery-powered WSNs, ignoring the crucial issue of energy harvesting. Therefore, the unpredictable energy harvesting, the...

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  • White Papers // Jul 2014

    A Graph Embedding Method Based on Sparse Representation for Wireless Sensor Network Localization

    In accordance with the problem that the traditional trilateral or multilateral estimation localization method is highly dependent on the proportion of beacon nodes and the measurement accuracy, an algorithm-based on Kernel Sparse Preserve Projection (KSPP) is proposed in this dissertation. The Gaussian kernel function is used to evaluate the similarity...

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  • White Papers // Jul 2014

    Web Spider Defense Technique in Wireless Sensor Networks

    Wireless Sensor Networks (WSNs) are currently widely used in many environments. Some of them gather many critical data, which should be protected from intruders. Generally, when an intruder is detected in the WSN, its connection is immediately stopped. But this way does not let the network administrator gather information about...

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  • White Papers // Jul 2014

    A Method for Distributed Pipeline Burst and Leakage Detection in Wireless Sensor Networks Using Transform Analysis

    Bursts and leakages have turned out to be one of the most frequent malfunctions in liquid pipeline distribution systems. In recent years, the issue has gained a lot of attention in research community due to associated financial costs, environmental hazards, and safety considerations. Wireless Sensor Network (WSN) based leakage detection...

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  • White Papers // Jul 2014

    Proximity-Based Robust Event Detection in Wireless Sensor Networks

    In this paper, the authors present a proximity-based event detection scheme for wireless sensor networks. It is a hybrid scheme in the sense that it takes advantage of both neighbor-based and cluster-based schemes in distinguishing events from false alarms due to faulty nodes. It gives more weights to alarms in...

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  • White Papers // Jul 2014

    A Survey on Three-Dimensional Wireless Ad Hoc and Sensor Networks

    In parallel with steady research and development in ad hoc and wireless sensor networks, many test-beds have been implemented and deployed in real world. Furthermore, some research papers have addressed design issues for deployment in three-dimensional space such as sky or ocean. Since many research challenges in three-dimensional spaces have...

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  • White Papers // Jul 2014

    Does Human Fingers Pressure Sensing Improve User Text Input on Mobile Device? A Study on Input Performance Improvement Based on Human Fingers Pressure on Mobile Device

    In this paper, the authors introduce a pressure-sensitive text input system that provides an easier and faster method for entering Korean in the rapidly expanding Smartphone environment. In order to evaluate the effectiveness of the proposed system, a pressure-sensitive text input system is implemented and three Korean input experiments are...

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  • White Papers // Jul 2014

    Adaptive Heterogeneous Network Handoff of Smartphone Based on the Closed Control Loop

    Owing to complementary characteristics of wireless networks, it is deserved to achieve automatic handoff on the modern Smartphone for taking full exploitation of these accessible technologies. In this paper, the authors have proposed the closed loop model on Smartphone switching heterogeneous wireless networks, which is full-client based without requiring additional...

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  • White Papers // Jul 2014

    Recognizing Boundaries in Wireless Sensor Networks Based on Local Connectivity Information

    In this paper, the authors develop an efficient and distributed boundary detection algorithm to precisely recognize Wireless Sensor Network (WSN) boundaries using only local connectivity information. Specifically, given any node in a WSN, the proposed algorithm constructs its 2-hop isocontour and locally makes a rough decision on whether this node...

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  • White Papers // Jul 2014

    Solar Energy Harvesting and Management in Wireless Sensor Networks

    Wireless networks comprise of small devices that are typically deployed in environments where paucity of energy seriously restricts essential operations. The energy source of these devices decreases very quickly during continuous operation and it is pivotal to replace or recharge frequently the power sources. Sometimes, it is very difficult to...

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  • White Papers // Jul 2014

    iAMCTD: Improved Adaptive Mobility of Courier Nodes in Threshold-Optimized DBR Protocol for Underwater Wireless Sensor Networks

    Underwater Acoustic Sensor Networks (UASNs), as a subclass of Wireless Sensor Networks (WSNs), are specifically used for monitoring purposes in aqueous environment. The acoustic wireless sensors along with sink(s), distributed under water, constitute the basic body of UASN, where acoustic sensors gather the information of interest and then following a...

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  • White Papers // Jul 2014

    Selective Sensing and Access Strategy to Maximize Throughput in Cognitive Radio Sensor Network

    In this paper, the authors present a selective spectrum sensing and access strategy in a Cognitive Radio Sensor Network (CRSN), in order to maximize the throughput of Secondary User (SU) system. An SU senses multiple channels simultaneously via wideband spectrum sensing. To maximize the throughput and reduce the sensing energy...

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  • White Papers // Jul 2014

    An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks

    Owing to the acceleration of IoT- (Internet of Things) based wireless sensor networks, cloud-computing services using big data are rapidly growing. In order to manage and analyze big data efficiently, Hadoop frameworks have been used in a variety of fields. Hadoop processes BigData as record values by using MapReduce programming...

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  • White Papers // Jul 2014

    Advances in Security and Privacy in Sensor Networks

    Security and privacy are two important research topics in wireless sensor networks. Protocols or applications without security protection cannot be accepted by users. In fact, there are many schemes that were originally thought as secure but were eventually broken, which clearly indicates the need of serious security requirement. There are...

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  • White Papers // Jul 2014

    Modeling the Performance of Faulty Linear Wireless Sensor Networks

    Wireless Sensor Networks (WSNs) are used to monitor long linear structures such as pipelines, rivers, railroads, international borders, and high power transmission cables. In this case, a special type of WSN called Linear wireless Sensor Network (LSN) is used. One of the main challenges of using LSNs is the reliability...

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  • White Papers // Jul 2014

    Real-Time 3D Simulation for the Trawl Fishing Gear Based on Parallel Processing of Sonar Sensor Data

    A huge and a complex internal computation is required to visualize the underwater geometry of a fishing gear, because each particle of the gear should be calculated with consideration of several force vectors, such as the movements of the fishing vessel, the buoyancy of the gear, and the tension of...

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  • White Papers // Jul 2014

    Data Security and Privacy in Cloud Computing

    Data security has consistently been a major issue in information technology. In the cloud computing environment, it becomes particularly serious because the data is located in different places even in the entire globe. Data security and privacy protection are the two main factors of user's concerns about the cloud technology....

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  • White Papers // Jul 2014

    Route Prediction Based Vehicular Mobility Management Scheme for VANET

    Since improvement of wireless communication, IP based mobility management protocols have been studied to provide seamless communication and mobility management. The Vehicular Ad hoc NETwork (VANET) is one of mobility management protocols, especially providing seamless connection with inter/intra/inner vehicle communication. However, each vehicle moves fast that causes short-lived connections with...

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  • White Papers // Jul 2014

    Histogram Estimation for Optimal Filter Skyline Query Processing in Wireless Sensor Networks

    The skyline query processing technique plays an increasingly important role for multicriteria decision making applications in wireless sensor networks. The technique of saving energy to prolong the lifetime of sensor nodes is one of the dominating challenges to resource-constrained wireless sensor networks. In this paper, the authors propose an energy-efficient...

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  • 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...

    Provided By Hindawi Publishing

  • 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...

    Provided By Hindawi Publishing