CONTENTS -- Preface -- Low-Noise Measurements of Small Currents and Voltages for Characterization of Semiconductor Nanostructures at Low Temperatures J. Jacob and B. Fiedler -- 1. Introduction -- 2. Multi-Channel Pre-Amplification and Signal Conditioning System -- 2.1. Input Amplifier Module -- 2.2. Preliminary Filtering -- 2.3. Universal Filter Matrix -- 2.4. Output Stage -- 2.5. Control and Power Supply -- 2.6. Circuit Board Design -- 2.7. Performance -- 3. Battery-Powered Current and Voltage Amplification for Ultra-Low-Noise Measurements -- 4. Conclusion -- Acknowledgment -- References -- An Integrated Approach to Power Quality Problems in Micro-Grids Tsao-Tsung Ma -- 1. Introduction -- 2. Micro-grid and Control Techniques -- 2.1. Micro-grid Concepts and Power Quality Issues -- 2.2. Control Techniques -- 2.3. Calculation of Reference Current Commands -- 3. Case Studies and Results -- 3.1. Simulation Cases and Results -- 3.2. Experimental Tests and Results -- 4. Conclusion -- Acknowledgments -- References -- Discriminating Among Inrush Current, External Short Circuit and Internal Winding Fault in Power Transformer Using Coefficient of DWT Jittiphong Klomjit and Atthapol Ngaopitakkul -- 1. Introduction -- 2. Wavelet Transform -- 3. Power System Simulation using EMTP -- 4. Fault Detection Algorithm -- 5. Conclusion -- Acknowledgments -- References -- Classification of Temporal Characteristics of Epileptic EEG Subbands Based on the Local Maxima S. Janjarasjitt -- 1. Introduction -- 2. Methods -- 2.1. Data and Subjects -- 2.2. The Local Maxima and the Temporal Characteristics -- 2.3. Analytical Framework -- 3. Results -- 4. Conclusions and Discussion -- Acknowledgments -- References.

A Concurrent Error Detection and Correction Based Fault-Tolerant XOR-XNOR Circuit for Highly Reliable Applications Mouna Karmani, Chiraz Khedhiri, Belgacem Hamdi, Ka Lok Man, Eng Gee Lim and Chi-Un Lei -- 1. Introduction -- 2. Concurrent Error Detection and Correction Based Fault-Tolerant Systems -- 2.1. The proposed XOR-XNOR circuit implementation -- 2.2. Simulation results -- 3. The XOR-XNOR Circuit Fault Analysis -- 3.1. The stuck-at fault model -- 3.2. The transistor stuck-on fault model -- 3.3. The transistor stuck-on fault model -- 4. The Proposed Concurrent Error Correction Architecture -- 5. Conclusion -- References -- Probability Distributions on an AND-OR Tree Under Directional Algorithms Toshio Suzuki and Ryota Nakamura -- 1. Introduction -- 2. Notation -- 3. The equivalence of eigen and E1 -- 4. A case where the uniqueness fails -- 5. A case where the uniqueness holds -- 6. Conclusive remarks -- Acknowledgment -- References -- An Efficient Differential Full Adder Chiraz Khedhiri, Mouna Karmani, Belgacem Hamdi and Ka Lok Man -- 1. Introduction -- 1.1. The CMOS full adder -- 1.2. The TGA full adder -- 1.3. The Complementary Pass Transistor Logic CPL) full adder -- 1.4. The Double Pass transistor Logic (DPL) full adder -- 1.5. The full adder in combined technology (CMOS+ DPL) -- 2. The proposed self-checking full adder -- 3. Comparisons -- 3.1. Number of transistor -- 3.2. Area overhead -- 3.3. Delay -- References -- Using the Web-Camera Based Eye Tracking Technology to Explore the Audience's Attention Preferences on the Different Layout Compositions of Information Hui-Hui Chen, Yi-Ting Yeh, Chiao-Wen Kao, Bor-Jiunn Hwang and Chin-Pan Huang -- 1. Introduction -- 1.1. Perceiving Information of Users -- 1.2. Questionnaires Used for the Investigation on Eye Activities -- 1.3. Eye Movement Tracking and Devices -- 1.4. Research Purpose.

2. Research Design -- 2.1. Research Framework -- 2.2. Research Questions and Method -- 3. Experiments and Results -- 3.1. Participants -- 3.2. Experiment Materials -- 3.3. Equipment -- 3.4. Experiment Procedure -- 3.5. Data Analysis and Experiment Results -- 4. Conclusion -- References -- Human Identification Based on Tensor Representation of the Gait Motion Capture Data Henryk Josiński, Adam Świtoński, Karol Jędrasiak and Daniel Kostrzewa -- 1. Introduction -- 2. Tensor Representation of the Gait Mocap Data -- 3. The Multilinear PCA Algorithm -- 4. Experimental Research -- 5. Conclusion -- References -- Formal Modelling and Verification of Compensating Web Transactions Shirshendu Das, Shounak Chakraborty, Hemangee K. Kapoor and Ka Lok Man -- 1. Introduction -- 2. Compensating CSP (cCSP) -- 2.1. Air-ticket Reservation System (ATRS) -- 2.1.1. cCSP Model for Traveler -- 2.1.2. cCSP Model for Agent -- 2.1.3. cCSP Model for Airline -- 2.1.4. cCSP Model for Bank -- 3. Modeling in Promela -- 3.1. Translation from cCSP to Promela -- 3.2. Promela model for ATRS -- 4. Verification -- 4.1. Property Verification -- 5. Conclusion -- References -- A Machine Learning Approach for Classification of Internet Web Sites Ajay S. Patil and B.V. Pawar -- 1. Introduction -- 2. Related Work -- 3. Classification of Web Pages -- 4. Bayes Theorem -- 5. Experimental Setup -- 5.1. Creation of Data Set -- 5.2. Cleaning HTML Documents -- 6. Vocabulary Generation -- 6.1. Training the Classifier -- 6.2. Testing the Classifier -- 7. Experimental Results -- 7.1. Training Examples and Accuracy -- 8. Conclusion and Future Work -- References -- Web Services For Chronic Pain Monitoring Nuno Gonçalo Coelho Costa Pombo, Pedro José Guerra de Araújo and Joaquim Manuel Vieira da Silva Viana -- 1. Introduction -- 2. Pain Diaries -- 2.1. Related Work -- 3. Web Services -- 3.1. XML -- 3.2. SOAP.

4. System Architecture -- 5. Conclusion -- References -- Parallel Binomial American Option Pricing on CPU-GPU Hybrid Platform Nan Zhang, Chi-Un Lei and Ka Lok Man -- 1. Introduction -- 2. Related work -- 3. Binomial American option pricing -- 4. The CPU-GPU heterogeneous system -- 5. The parallel American option pricing algorithm -- 6. Performance testing on the P8600 -- 7. The GPU algorithm and its performance -- 8. The CPU-GPU hybrid processing -- 9. Conclusion -- Acknowledgment -- References -- The Subsystem Grouping Scheme Using Use Case Dependency Graph and Domain-Specific Semantic Model for Large Complex Systems Nanchaya Khrueahong and Wiwat Vatanawood -- 1. Introduction -- 2. Related Works -- 3. Our Proposed Automatic Subsystem Grouping Scheme -- 3.1. Preparation of the Initial Input Use Case Diagram -- 3.2. The Well-Formedness Rules [9] Revisited -- 3.3. The Semantic Modeling as a Thesaurus -- 3.4. Pass I: The Subsystem Grouping Scheme using Use Case Dependency Graphs [8] -- 3.5. Pass II: The Refinement of the Subsystem Grouping using Domain-Specific Semantic Model -- 4. The Case Study -- 5. Conclusion -- References -- MOBM: A Methodology for Building Practical Domain Ontologies from Database Information Minyoung Ra, Donghee Yoo, Sungchun No, Jinhee Shin and Changhee Han -- 1. Introduction -- 2. Related Works -- 3. The Mixed Ontology Building Methodology -- 3.1. Overview of the MOBM -- 3.2. Extracting kernel ontology from database schema -- 3.3. Creating class hierarchies from upper concepts -- 3.4. Creating class hierarchies from lower concepts -- 3.5. Connecting these class hierarchies to the kernel ontology -- 3.6. Enhancing the semantics between inter-terms -- 3.7. Enhancing any restrictions -- 3.8. Enhancing additional axioms and rules -- 3.9. Completing the domain ontology -- 4. Example Scenario for MOBM -- 5. Conclusion.

Acknowledgments -- References -- A Trial of the Dynamic Weighted Sum Method for Multi-Objective Optimization Hong Zhang -- 1. Introduction -- 2. Basic Concepts -- 2.1. MOO Problem -- 2.2. Front Distance and Cover Rate -- 2.3. Dynamic Weighted Sum Method -- 3. Algorithms -- 3.1. PSOIW -- 3.2. PSOIWα -- 3.3. MPSOIWα -- 4. Computer Experiments -- 4.1. Performance Comparison -- 4.2. Effect of Multi-swarm Search -- 5. Conclusions -- Acknowledgment -- References -- A Multi-Agent Platform to Manage Distributed and Heterogeneous Knowledge by Using Semantic Web Inaya Lahoud, Davy Monticolo, Vincent Hilaire and Samuel Gomes -- 1. Introduction -- 2. The Agent Paradigm Used in Knowledge Engineering -- 2.1. MAS Used in Knowledge Engineering -- 2.2. Ontologies to Support the Knowledge Modeling -- 2.3. Interests of the Ontologies in MAS -- 3. Overview of Semknow (Semantic & Knowledge) -- 3.1. Agents and Their Knowledge Worlds -- 3.2. SemKnow Architecture -- 4. Knowledge Extraction by the Interpreters Society -- 5. Conclusion -- References -- An Intelligent Train Marshaling Based on the Processing Time Considering Group Layout of Freight Cars Yoichi Hirashima -- 1. Introduction -- 2. Problem Description -- 3. Desired Layout in the Main Track -- 4. Direct Rearrangement -- 5. Rearrangement Process -- 6. Processing Time for a Movement of Locomotive -- 6.1. Transfer distance of locomotive -- 6.2. Processing time for the unit transition -- 7. Learning Algorithm -- 8. Computer Simulations -- 9. Conclusions -- References -- A Web-Based Multilingual Intelligent Tutor System Based on Jackson's Learning Styles Profiler and Expert Systems H. Movafegh Ghadirli and M. Rastgarpour -- 1. Introduction -- 2. Background -- 2.1. Intelligent Tutoring System -- 2.2. Automatic Translation -- 2.3. The Role of Pedagogy in Learner Modeling -- 2.4. Jackson's Learning Styles Profiler.

3. Proposed Approach.