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Electro/Information Technology (EIT), 2010 IEEE International Conference on

Date 20-22 May 2010

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Displaying Results 1 - 25 of 111
  • Advancements towards sustainable transportation systems: 1.5 PDH's

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    As world continues to rely more and more upon vehicular transportation, the looming problems of fuel supply and air pollution become more imminent. The internal combustion engine (ICE) has long been the mechanism that propels our vehicles, and gasoline has been its major source of energy. This fuel supply is dwindling and researchers are looking for new sources of energy. Demands for higher fuel economy, performance, reliability, and reduced emissions push the automotive industry to seek advanced technologies such as electrification of ancillaries and engine augmentations. An immediate solution to this problem is essential, and the most promising answer lies in hybrid electric and plug-in hybrid electric vehicle (HEV and PHEV) technologies. The proposed long-term sustainable solution includes (1) integrating the transportation industry with the electric power industry, (2) using electricity as the carrier, and (3) generating electricity from renewable energy sources. In this presentation, different HEV and PHEV configurations will be presented with a focus on engineering fundamentals as well as state-of-the-art research and development in the components and system integration. In addition, it is focused on drive train configurations and presents a review of conversion strategies to hybridize different vehicles. View full abstract»

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  • Author index

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    Freely Available from IEEE
  • An efficient graph-cut segmentation for knee bone osteoarthritis medical images

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (386 KB) |  | HTML iconHTML  

    The segmentation of bones in the knee region is one of the first essential steps to perform further analysis, classification and osteoarthritis imaging biomarkers discovery. In this paper, an efficient graph-cut based segmentation algorithm is proposed. One of the challenges in current graph-cut schemes is properly distinguishing between regions of interest (ROI) and background regions with features very similar to those of the ROI. Since obtaining a very discriminative cost function is not always feasible, many algorithms require user interaction to provide an extensive number of seed points. In this paper, a new approach is proposed which uses efficient content-based features to achieve segmentation without the need for any user interaction. Experimental results on actual knee MR images demonstrate the effectiveness of the proposed scheme with an average accuracy of 95% using the Zijdenbos similarity index. View full abstract»

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  • An automated content-based segmentation framework: Application to MR images of knee for osteoarthritis research

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (261 KB) |  | HTML iconHTML  

    To effectively diagnose and monitor the treatment of diseases such as osteoarthritis, the segmentation, processing and analysis of mass volumes of medical images is gaining high importance. In this paper, a new fully automated content-based segmentation framework is proposed. The framework is designed to be compatible with a wide variety of segmentation techniques. To this end, a novel content-based two-pass block discovery mechanism is proposed to provide full automation for image segmentation. The proposed framework uses both training and local image data and disjoint block-wise image scanning to achieve ROI and background block discovery. The detected object and background blocks are then used to initialize and support the segmentation process. The effectiveness of the proposed framework is demonstrated by performing automatic segmentation of the femur and tibia bones in knee osteoarthritis MR images with 96% accuracy. Experimental results are provided which show the effectiveness of the proposed framework. View full abstract»

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  • Integrated ultrasonic/interferential current system for injured bones, muscles, and nerve therapy

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    In this paper the design and implementation of an integrated system, for healing nerve, muscles, bones, and joints injuries, are discussed. In this system, ultrasound waves and interferential-current can be applied separately or concurrently, based on the recommendation of the healthcare specialist. This flexibility is expected to optimize, improve, and quicken the healing progress and recovery. The system was built using off the shelf components, and this will result in substantial cost reduction. View full abstract»

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  • An e-business grid model architecture for small and medium scale enterprises

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    In grid computing a loosely coupled and virtual computing infrastructure is created out of a collection of connected heterogeneous processors sharing various combinations of resources. It is pertinent to note that African Small and Medium Enterprises (SMEs) cannot participate in the global market using the current e-business solution due to the lack of or nonexistent infrastructure to support such services. In this paper, we propose a grid service based solution that is indigenous to African SMEs and technologically tailored to meet their local needs. The solution is based on an Application Service Provider (ASP) grid framework. The framework is specified using Universal Modeling Language (UML). View full abstract»

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  • An augmented block code model for protein translation using free energy based distance decoders

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    Informational analysis of genetic sequences has revealed the existence of significant analogies between the genetic process and information processing systems used in the field of communications engineering. By analyzing key elements involved in the process of gene expression, we have developed several communications and coding theory based models for the process of translation [1-5]. A previous research investigated the use of coding theory based models that quantitatively describe the behavior of the ribosome during translation initiation in prokaryotic organisms [1]. In this paper we have investigated an augmented block code model with modified criteria and assumptions. We have also employed several minimum distance decoders to verify the proposed modified model based on the free energies involved in the binding between the ribosome and the mRNA sequence. The key biological elements considered in forming the investigated model are: the last 13 bases of the 3' end of the 16S rRNA molecule, the common features of bacterial ribosomal binding sites (such as the existence and location of the Shine-Dalgarno sequence), the energies involved in the rRNA-mRNA interaction, and RNA/DNA base-pairing principles. The model was tested on five different E. coli bacterial genomes. The obtained results prove the validity and significance of the model in clearly distinguishing four different test groups of gene predictions. Two of them are based on well known gene finder softwares (e.g. GeneMark [2] and Glimmer [3]). View full abstract»

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  • Efficient coin recognition using a statistical approach

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    In this paper we propose a coin recognition system using a statistical approach and apply it to the recognition of Jordanian coins. The proposed method depends on two features in the recognition process: the color of the coin, and its area. The recognition process consists of several steps. Firstly, a gray-level image is extracted from the original colored image. The image is then segmented into two regions, coin and background, based on the histogram drawn from the gray-level image. To reduce the noise, the segmented image is then cleaned by opening and closing through several erosion and dilation operations. After that, four parameters are calculated, the area, the average red, blue, and green colors of the coin to be recognized. Based on these parameters, the decision to which category the coin belongs is obtained. The results provided illustrate that the proposed approach is both simple and accurate. Although the proposed recognition approach is applied to Jordanian coins, it can be applied to the recognition of any coins. View full abstract»

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  • Understanding the capabilities of a vehicle Ad-hoc Network for highway systems

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (342 KB) |  | HTML iconHTML  

    Real time situational awareness has the potential to improve the response and management of intelligent transportation system (ITS) components in critical situations. In the event of sudden or potentially dangerous situations, such as hazardous material spills or reckless driving, every second counts to reduce the overall impact of the event. Currently, assessing surface deterioration and identifying unsafe conditions can be costly and timely to a monitoring agency, and often requires traffic control and other delays to the users of a highway system. Utilizing vehicles as probes to sense and collect these data would give traffic and agency planners a continuously updated view of the network. This article introduces a model to analyze the feasibility of achieving near-real-time situational awareness for highway systems by Vehicle Ad-hoc Networks (VANETs). Each vehicle acts as a data collection probe, gathering information such as surface friction and distress, and is enabled with short-range wireless technology, allowing condition awareness broadcasts to be propagated to other vehicles. The analysis suggests it would be possible to provide awareness up to several kilometers away from the location of the issue in a near-real-time manner, provided adequate traffic density. This approach is envisioned to be particularly suitable for critical traffic monitoring, such as in emergency management and homeland security applications related to transportation systems. View full abstract»

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  • Clinical Decision Support Systems: Medical knowledge acquisition and representation methods

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (111 KB) |  | HTML iconHTML  

    Constructing the Knowledge Base (KB) of the Clinical Decision Support System (CDSS) is a crucial task that determines the success of the CDSS in general. The goal is to collect the medical knowledge from the relevant sources, systemize it and represent it in a formal human understandable and computer-interpretable manner. There are many different methodologies for acquisition and representation of the medical knowledge. This paper reviews and compares some of these methodologies to identify what has been achieved in the past and to provide directions for future research and improvements. View full abstract»

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  • Circuit level, static power, and logic level power analyses

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (265 KB) |  | HTML iconHTML  

    Analyzing power consumption is a major factor in CMOS electronic design procedure. Power estimation approaches are more complicated than area and delay estimation since they depend on several factors such as signal transitions, clock frequency, CMOS technology, circuit's design and etc. This article describes different components of power dissipation in CMOS circuits such as Short Circuit, Static and Dynamic power, as a background to ease the way of further discussion on estimation methods. The major concept of the paper presents some power estimation methods at circuit and logic level and also static power analyses. Two main logic level estimation methods, Simulation-Based and probabilistic techniques are briefly described. The paper is finalized by comparison of the result of different power estimation method on an ALU circuit. View full abstract»

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  • Ground vehicle classification based on Hierarchical Hidden Markov Model and Gaussian Mixture Model using wireless sensor networks

    Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (863 KB) |  | HTML iconHTML  

    In this paper, multiple ground vehicles passing through a region that are observed by audio sensor arrays are efficiently classified using a Hierarchical Hidden Markov Model (HHMM). The states in the HHMM contain another HMM which represents a time sequence of the vehicle acoustic signals. The HMM represents the distribution of the output of the HHMM, where The HMM models the features of the continuous acoustic emissions. The output of the states of this HMM is modeled as Gaussian Mixture Model (GMM), where the number of states and the number of Gaussians are experimentally determined, while the other parameters are estimated using Expectation Maximization (EM). The HHMM is used to model the sequence of the local decisions which are based on multiple hypothesis testing with maximum likelihood approach. The states in the HHMM represent various combinations of vehicles of different types. Simulation results demonstrate the efficiency of this scheme. View full abstract»

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  • Service-Oriented Architecture: On the suitability for mobile robots

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (651 KB) |  | HTML iconHTML  

    Cooperative mobile robots have recently been gaining importance within the field of robotics. It's been proven that collaborative robots can do tasks in a faster and more reliable manner than a single robot can. Additionally, recent advances in distributed coordination algorithms have dramatically improved the feasibility and suitability of cooperative approaches. This has lead researchers to develop Inter-robot communication frameworks. While several frameworks have been introduced, one of the most common is the Service-Oriented Architecture (SOA). However, the suitability of SOA for collaborative robotic communication has not been fully evaluated. In this paper we evaluate the SOA from an overhead perspective against non service-based architectures in a wireless environment. Our evaluation is based on performance suitability, which is determined by measuring throughput and delay for different numbers of mobile robots sharing real time data. View full abstract»

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  • Symmetrical pattern and PCA based framework for fault detection and classification in power systems

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (198 KB) |  | HTML iconHTML  

    An important attribute of an electrical power system is the continuity of service with a high level of reliability. This motivated many researchers to investigate power systems in an effort to improve reliability by focusing on fault detection and classification. In this work, a new electrical protective relaying framework to detect and classify any fault type in an electrical power system is presented. This work will use readings of the phase current only during the first (1/4)th of a cycle in an integrated method that combines symmetrical components technique with the principal component analysis (PCA) to declare, identify, and classify a fault. Furthermore, our approach also distinguishes a real fault from a transient one and can be used in either a transmission or a distribution system. Implementation results using PSCAD are also presented. View full abstract»

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  • Implementation of wideband VoIP middleware using embedded systems

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (768 KB) |  | HTML iconHTML  

    Current Analog Telephone Adaptors (ATA) which are commonly used by small business and home offices to implement Internet telephony applications are designed to work with an audio bandwidth of 300 Hz to 3.4 KHz, a holdover from the one hundred year history of telephone companies trying to accommodate a high volume of calls over copper. Recent network improvements in the last decade allow for a wider bandwidth. However, existing work in wideband audio for telephony has been mainly focused either on mobile telephony or high end teleconferencing equipment but not on ATA devices. This paper proposes improvements to ATA devices that allow an audio bandwidth of 50 Hz to 7 KHz. An implementation is discussed where a minimal upgrade to an open source ATA based on GPL licensed hardware is modified to support wideband, and a middleware layer software is modified to also handle the wider bandwidth. Moreover, promising results when using the modified hardware and software were obtained. The results indicated that with slight CPU overloading, the modified hardware and software can be used for wideband telephony. View full abstract»

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  • Threat-adaptive architectures for trusted platform modules in secure computing systems

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (235 KB) |  | HTML iconHTML  

    A hardware system entrusted with security is referred to as the trusted platform module (TPM) which is available for various processor architectures. The two important processor architectures which account for most of general computing systems are based on ARM and x86 processors. The ARM processors have a TPM referred to as TrustZone architecture. The x86 systems' security directives are dictated by the Trusted Computing Group (TCG) which defines the TPM coprocessor features. In this paper, we compare these two approaches of TPM architectures. An effective TPM needs to be adaptive as threats evolve. Threats can arise from firmware bugs in the TPM or decay in the complexity of ciphering algorithms. Therefore, we propose adaptive TPM architecture to counter evolving threats using an FPGA block to alter and patch firmware and change ciphering systems. This along with the one to one association of an explicit security policy with threat is shown to be a powerful counter towards evolving threats. View full abstract»

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  • A VCO in 65 nm technology for very accurate sensing applications

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (285 KB) |  | HTML iconHTML  

    In this paper a temperature sensor in 65 nm technology is presented. All blocks are implementable on chips as it was the goal from the beginning to have a "Sensor on a Chip" as outcome of the design. The general block diagram of the system shows that it can be used for any other purpose by changing the sensing part and making it a linear one. The sensor assumed to be usable for a control system and the output of a system is Frequency! It works at frequency range of 26 GHz to 31 GHz which represents a resolution of 50 MHz/°C. The range for temperature is 100°C to 190°C. For sure this range can be improved by using other sorts of sensing parts than what is used for this research. The main part of the circuit is a VCO which consumes 17 mW at the highest frequency and a phase noise of -106.8 dBc/Hz at 1 MHz offset. View full abstract»

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  • Effect of variables and their interactions on RFID tag readability on a conveyor belt — Factorial analysis approach

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (261 KB) |  | HTML iconHTML  

    Radio Frequency Identification (RFID) is an identification system used to create an automated tracking solution to provide real time inventory visibility, operational status, movement of assets through the supply chain. The problem with successful RFID implementation is the lack of application specific optimization. In a packaging environment the variation in product, speed of conveyor, tag position, distance of tag from antenna cannot be generalized. To gain optimum performance from an RFID system these factors should be optimized. The aim of this study is to investigate the relationship between speed of the conveyor belt, type, orientation and placement of the tag. Full factorial and fractional factorial designs are considered to determine the effect of critical factors and the interaction between them based on tag readability. Recommendations are provided for the combinations of the potential factors and their levels in order to obtain the best possible readability. View full abstract»

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  • High performance reconfigurable pipelined matrix multiplication module designer

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    Matrix multiplication operations are heavily used in communication systems, video, signal and image processing applications such as echo cancellation, adaptive beamforming, and Multiple-Input Multiple-Output (MIMO) systems, and are also used in matrix factorizations such as Cholesky, LU, QR and DCT. However, it is challenging to implement a high speed matrix multiplication operator for large matrices due to the fact that the number of multiplication operations grows rapidly with functions of n3. This paper presents the implementation of a reconfigurable pipelined high speed and high precision matrix multiplication module designer for large matrices on Xilinx Virtex-5 and Spartan 3E FPGAs using high speed memory interface for data transfers. View full abstract»

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  • HW/SW co-design platform for image and video processing applications on Virtex-5 FPGA using PICO

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (640 KB) |  | HTML iconHTML  

    The objective of this work is to design and implement an Image and Video Processing Platform (IVPP) on FGPAs using PICO based HLS. This hardware/software codesign platform has been implemented on a Xilinx Virtex-5 FPGA. The video interface blocks are done in RTL and the initialization phase is done using a MicroBlaze processor allowing the support of multiple video resolutions. This paper discusses the architectural building blocks showing the flexibility of the proposed platform. This flexibility is achieved by using a new design flow based on PICO. IVPP allows custom-processing blocks to be plugged-in to the platform architecture without modifying the front-end (capturing video data) and back-end (displaying processed output). This paper presents several examples of video processing applications, such as a Canny edge detector, motion detector and object tracking that have been realized using IVPP for real-time video processing. View full abstract»

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  • Development of a neural network based surface roughness prediction system using cutting parameters and an accelerometer in turning

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    In this work, a technique is proposed to predict surface roughness by using neural network. Surface roughness could be predicted within a reasonable degree of accuracy by taking feed rate, cutting speed, depth of cut and three orthogonal axis (x, y, z) signals of vibrations of tool holder as input parameters. 27 experiments were performed by using a CNC lathe with a carbide cutting tool. Experimental data obtained from turning process were used for training and testing of neural network architecture based prediction system. When experimental and prediction results were compared, it has been seen that a mean accuracy of 91,17% was achieved. View full abstract»

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  • Multi-channel hybrid active noise control system for infant incubators

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (275 KB) |  | HTML iconHTML  

    This paper presents a new active noise control system for infant incubators in neonatal intensive care units. To overcome the problem of complexity of noise sources and their locations, a multi-channel hybrid ANC system using the filtered-x least mean square (FXLMS) algorithm was developed. This hybrid ANC system integrates both the feedforward and the feedback ANC systems to cancel noises from both inside and outside the incubator. Computer simulations and real-time experiments were performed to compare the proposed hybrid ANC algorithm with the existing feedforward ANC algorithms under various complex noise environments. View full abstract»

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  • Development of an open source network management & monitoring platform for wireless broadband service provider in rural areas

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (794 KB) |  | HTML iconHTML  

    People in rural areas are less likely to obtain broadband Internet access due to a combination of economic disadvantage, technical difficulties, and lack of service providers. There is a great need to develop robust, low-cost and easy-to-maintain network management platform for Wireless Internet Service Providers (WISP) in rural areas. The goal of this project is to partner with a small local start-up WISP and relieves some serious management & security problems the company encountered by the provision of an open source network management & monitoring system as well as a robust core router. To achieve the goal, an internal test bed consisting of a Wireless Router Application Platform (WRAP) was setup in a lab environment. Various open-source network applications such as Nagios, Snort, MRTG and Open VPN were customized and integrated. Several business management applications were also developed, including Request Tracker System, MySQL-based customer database, and database-driven web application for management interface. All these systems integrated together will allow a network management team to diagnose and solve network connectivity and security issues accurately and promptly. The survey shows that the proposed solution significantly reduce the company's operation cost and improve the customers' satisfaction. View full abstract»

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  • Low noise measurement of photocurrent from low impedance photodiodes

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    We have developed a data acquisition unit (DAU) for continuous, low noise measurement of photocurrent from low shunt resistance photodiodes. The system is intended for use with a glucose sensor as part of a continuous glucose monitoring system. This paper describes only the design of the photocurrent measurement system and biocompatibility issues are beyond the scope of this paper. The DAU is comprised of a glucose sensor, analog circuitry for signal conditioning, and delta-sigma analog to digital converters (Δ-Σ ADCs). The glucose sensor operates in the near infrared (IR) region where glucose has absorption features that allow concentration measurement. The sensor is comprised of two IR LEDs, a glass fluid chamber, a linearly variable bandpass filter, and a 32 element photodiode array. IR light propagates through the fluid chamber containing analyte and the filter, impinging on the photodiode array. Transimpedance amplifiers (TIAs) convert the photodiode photocurrents into voltages that are sampled by the ADCs. We developed a noise model that predicts the noise characteristics of the system. In this paper we use low noise metal film resistors to verify the DAU noise characteristics in preparation for future use with glucose sensors. A high signal-to-noise ratio (SNR) is needed to accurately quantify the concentration of glucose. The SNR available is limited by the low luminosity available at the photodiodes and the low impedance of the photodiodes (Rpd). View full abstract»

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  • An Intelligent Search Lifecycle Architecture for Modern Publishing and Newspaper Industries using SOA

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (345 KB) |  | HTML iconHTML  

    Publishing in general and newspaper organizations specifically confront rising challenges to collect information faster at lower cost. These challenges must be coordinated with organization's strategic, tactical, and operational needs via the alignment of Information Technology (IT) with the business strategy. The ultimate goal is a Modern Publishing and Newspaper Industries. This paper provides an innovative solution to accomplish this goal by accelerating publishing and newspaper processes time. The process' time is accelerated via an Intelligent Search Lifecycle Architecture (ISLA); which integrates Search Engine, Information Extraction, Information Retrieval, Data Mining and Data Warehouse using Service-Oriented Architecture (SOA). View full abstract»

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