Computer hardware Books

Book SynopsisThe economic potential of autonomous mobile robots will increase tremendously during the next years. Service robots such as cleaning machines and inspection or assistance robots will bring us great support in our daily lives. This textbook provides an introduction to the methods of controlling these robotic systems. Starting from mobile robot kinematics, the reader receives a systematic overview of the basic problems as well as methods and algorithms used for solving them. Localisation, object recognition, map building, navigation and control architectures for autonomous vehicles will be discussed in detail. In conclusion, a survey of specific service robot applications is included as well. This book is a very useful introduction to mobile robotics for beginners as well as advanced students and engineers.Table of ContentsHistorical overview of autonomous land vehicles - Vehicle kinematics - Sensor systems - Where am I?: The localisation problem - Map building - Navigation strategies - Control architectures - Software frameworks

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Book SynopsisThis book is a compilation of the entire research work on the topic of Complex Binary Number System (CBNS) carried out by the author as the principal investigator and members of his research groups at various universities during the years 2000-2012. Pursuant to these efforts spanning several years, the realization of CBNS as a viable alternative to represent complex numbers in an “all-in-one” binary number format has become possible and efforts are underway to build computer hardware based on this unique number system. It is hoped that this work will be of interest to anyone involved in computer arithmetic and digital logic design and kindle renewed enthusiasm among the engineers working in the areas of digital signal and image processing for developing newer and efficient algorithms and techniques incorporating CBNS.Trade ReviewFrom the reviews:“This is a monograph presenting the results of a dozen or so years research of the author devoted to purely binary representation of complex numbers and design of circuits for arithmetic operations on them. … The topic of this book may be recommended as a facultative lecture for academic courses on digital arithmetic.” (Antoni Michalski, Zentralblatt MATH, Vol. 1262, 2013)Table of ContentsIntroduction.- Conversion Algorithms.- Arithmetic Algorithms.- Arithmetic Circuits Designs.- Complex Binary Associative Processor Design.- Conclusion and Further Research.

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Book Synopsis​Gaisi Takeuti was one of the most brilliant, genius, and influential logicians of the 20th century. He was a long-time professor and professor emeritus of mathematics at the University of Illinois at Urbana-Champaign, USA, before he passed away on May 10, 2017, at the age of 91. Takeuti was one of the founders of Proof Theory, a branch of mathematical logic that originated from Hilbert's program about the consistency of mathematics. Based on Gentzen's pioneering works of proof theory in the 1930s, he proposed a conjecture in 1953 concerning the essential nature of formal proofs of higher-order logic now known as Takeuti's fundamental conjecture and of which he gave a partial positive solution. His arguments on the conjecture and proof theory in general have had great influence on the later developments of mathematical logic, philosophy of mathematics, and applications of mathematical logic to theoretical computer science. Takeuti's work ranged over the whole spectrum of mathematical logic, including set theory, computability theory, Boolean valued analysis, fuzzy logic, bounded arithmetic, and theoretical computer science. He wrote many monographs and textbooks both in English and in Japanese, and his monumental monograph Proof Theory, published in 1975, has long been a standard reference of proof theory. He had a wide range of interests covering virtually all areas of mathematics and extending to physics. His publications include many Japanese books for students and general readers about mathematical logic, mathematics in general, and connections between mathematics and physics, as well as many essays for Japanese science magazines. This volume is a collection of papers based on the Symposium on Advances in Mathematical Logic 2018. The symposium was held September 18–20, 2018, at Kobe University, Japan, and was dedicated to the memory of Professor Gaisi Takeuti. Table of ContentsS. Fuchino and A. Ottenbreit Ottenbreit Maschio Rodrigues, Reflection principles, generic large cardinals, and the Continuum Problem.- D. Ikegami and N. Trang, On supercompactness of ω1.- S. Iwata, Interpolation properties for Sacchetti’s logics.- T. Kurahashi, Rosser provability and the second incompleteness theorem.- H. Kurokawa, On Takeuti’s early view of the concept of set.- Yo Matsubara and T. Usuba, On Countable Stationary Towers.- M. Ozawa, Reforming Takeuti’s Quantum Set Theory to Satisfy De Morgan’s Laws.- T. Usuba, Choiceless Lowenheim-Skolem property and uniform definability of grounds.- M. Yasugi, Y. Tsujii, T. Mori, Irrational-based computability of functions.- M. Yasugi, “Gaisi Takeuti’s finitist standpoint” and its mathematical embodiment.- Y. Yoshinobu, Properness under closed forcing.

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Book SynopsisThis book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.Table of ContentsChapter 1. A Review on Power Quality İmprovement of Grid Connected PV With Lithium-ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy.- Chapter 2. Influence of Alternative Fuels on Exhaust Emissions of IC Engine-A Review.- Chapter 3. Hybrid Energy System For An Academic Institution: A Case Study.- Chapter 4. Challenges to Mini-Grids: An alternative to Rural Electrification.- Chapter 5. Comparative Analysis of Family of Luo Converter for Renewable Energy Applications.- Chapter 6. Design and modeling of L-shape piezoelectric energy harvester for powering Deep Brain Stimulation System.- Chapter 7. Solar Irradiation Forecasting by Long-Short Term Memory using Different Training Algorithms.- Chapter 8. Forecasting of Wind Speed by Using Deep Learning for Optimal Use of the Energy Produced by Wind Farms.- Chapter 9. Analysis of Predictive Current Control Technique in Wind EnergyConversion System.- Chapter 10. Genetic Algorithm based Intelligent Control Strategy for Multi Input Multi Output DC-DC Converter.- Chapter 11. Wavelet Transform Based Comparative Analysis of Wind Speed Forecasting Techniques.- Chapter 12. Maximization of Energy Production from Sholayar Hydropower Plant in India.- Chapter 13. Cuk based Single Phase Inverter Design for PV Array Systems.- Chapter 14. Support Vector Machine based Forecasting for Renewable Energy Systems.- Chapter 15. Efficiency Improvement of PV Panel Using PCM Cooling Technique.- Chapter 16. Parametric Identification AlgorithmUsing Chebyshev−Laguerre Functions.- Chapter 17. Analysis of Piezoelectric Energy harvesting schemes and a proposition for state-of-the-art approach in Hydro-electric power generation.

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Book Synopsis​This book constitutes revised selected papers from the workshops of the 5th Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data, APWeb-WAIM 2021: The Fourth International Workshop on Knowledge Graph Management and Applications, KGMA 2021, The Third International Workshop on Semi-structured Big Data Management and Application, SemiBDMA 2021, and The Second International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2021, held in Guangzhou, China, in August 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers were thoroughly reviewed and selected from the 28 submissions and present recent research on the theory, design, and implementation of data management systems.Table of ContentsThe Fourth International Workshop on Knowledge Graph Management and Applications.- The Third International Workshop on Semi-structured Big Data Management and Applications.- The Second International Workshop on Deep Learning in Large-scale Unstructured Data Analytics.

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Book SynopsisThis book comprises the proceedings of the 2nd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2021). This book highlights the high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers included in this volume are peer-reviewed by experts in the related areas. The book will serve as a valuable reference resource for academics and researchers across the globe. Table of ContentsAn effective DNLP optimization method for Economic Load Dispatch Problem.- Multi-Perspective Reasoning Using Adaptive Learning.- Ink Recognition using TDNN and Bi-LSTM.- Sarcasm Detection for Sentiment Analysis : A RNN based approach using Machine Learning.- Statistical analysis of Soil properties using Non-Imaging Spectral data for quantitative analysis of Raver Tehsil.- Building an efficient Heart Disease Prediction system by using clustering techniques.

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Book SynopsisThis book comprehensively introduces data deduplication technologies for storage systems. It first presents the overview of data deduplication including its theoretical basis, basic workflow, application scenarios and its key technologies, and then the book focuses on each key technology of the deduplication to provide an insight into the evolution of the technology over the years including chunking algorithms, indexing schemes, fragmentation reduced schemes, rewriting algorithm and security solution. In particular, the state-of-the-art solutions and the newly proposed solutions are both elaborated. At the end of the book, the author discusses the fundamental trade-offs in each of deduplication design choices and propose an open-source deduplication prototype. The book with its fundamental theories and complete survey can guide the beginners, students and practitioners working on data deduplication in storage system. It also provides a compact reference in the perspective of key data deduplication technologies for those researchers in developing high performance storage solutions.Table of ContentsPreface.- Deduplication: Beginning from Data Backup System.- Overview of Data Deduplication.- Chunking Algorithms.- Indexing Schemes.- Rewriting Algorithms.- Secure Deduplication.- Post-deduplication Delta Compression Schemes.- The Framework of Data Deduplication.- References.

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Book SynopsisThis volume constitutes papers presented at the Evaluation Track of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in Guangzhou, China, in December 2021.The 17 competition papers went through a rigorious peer review and were accepted for publication. CCKS 2021 technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.Table of ContentsA Biaffine Attention-based Approach for Event Factor Extraction.- A Classification Approach of Scholar Structured Information Extraction from HTML Web Pages.- A Dual-classifier Model for General Fine-grained Event Detection Task.- A Joint Training Framework Based on Adversarial Perturbation For Video Semantic Tags Classification.- A Multi-Modal System for Video Semantic Understanding.- An Integrated Method of Semantic Parsing and Information Retrieval for Knowledge Base Question Answering.- Basic Profiling Extraction Based on XGBoost.- Data Augmentation based on Pre-trained Language Model for Event Detection.- Does BERT know Which Answer Beyond the Question?.- End-to-End Pre-trained Dialogue System for Automatic Diagnosis.- Enhance both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction.- Knowledge-Enhanced Retrieval: A Scheme for Question Answering.- Multi-Label Fine-grained Entity Typing for Baidu Wikipedia based on Pre-trained model.- Multi-Strategies Integrated Information Extraction for Scholar Profiling Task.- Named Entity Recognition and Event Extraction in Chinese Electronic Medical Records.- Strategies for Enhancing Generalization Ability of Communication Event Co-reference Resolution.- Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT.

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Book SynopsisThis book constitutes the refereed proceedings of the Third International Conference on Big Data and Security, ICBDS 2021, held in Shenzhen, China, in November 2021The 46 revised full papers and 13 short papers were carefully reviewed and selected out of 221 submissions. The papers included in this volume are organized according to the topical sections on cybersecurity and privacy; big data; blockchain and internet of things, and artificial intelligence/ machine learning security.Table of ContentsCybersecurity and Privacy.- Big Data.- Blockchain and Internet of Things.- Artificial Intelligence/Machine Learning Security.

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Book SynopsisThis volume presents peer-reviewed papers of the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). This book discusses recent trends in technology and advancement in microelectronics, nano-electronics, VLSI design, IC technologies, wireless communications, optical communications, SoC, advanced instrumentations, signal processing, internet of things, machine learning, image processing, green energy, hybrid vehicles, weather forecasting, cloud computing, renewable energy, CMOS sensors, actuators, RFID, transducers, real-time embedded system, sensor network and applications, EDA design tools and techniques, fuzzy logic & artificial intelligence, high-performance computer architecture, AI-based robotics & applications, brain-computer interface, deep learning, advanced operating systems, supply chain development & monitoring, physical systems design, ICT applications, e-farming, information security, etc. It includes original papers based on theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as good reference material for young scholars, researchers, and academics.Table of ContentsDesign, implementation and study of an IoT based battery life cycle tester and SoC indicator.- Design and Integration of Collaborative Features along with an Efficient GUI to the Industrial ROBOT.- Design of a CMOS Filter for basenoise Removal of ECG signal.- Performance study of 81-level inverter using two stage switch ladder circuit.- Design of Error tolerant and Low power Approximate full Adder.- Degradation of optical communication system performance due to SPM.- Real time measurement and analysis of power quality issues in distribution system.

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Book SynopsisThe two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis.The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections:Volume I:Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications;Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.Table of ContentsCrowd Intelligence and Crowd Cooperative Computing.- Locally Linear Embedding Discriminant Feature Learning Model.- Cache Optimization based on Linear Regression and DAG Task Graph.- A University Portrait System Incorporating Academic Social Network.- Multi-objective Optimization Of Ticket Assignment Problem In Large Data Centers.- Joint Embedding Multiple Feature and Rule for Paper Recommendation.- Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-Task Learning.- GRE: A GAT-based Relation Embedding Model of Knowledge Graph for Recommendation.- Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map.- Deep bug triage model based on multi-head self-attention mechanism.- Taxi Pick-up Area Recommendation via Integrating Spatio-temporal Contexts into XDeepFM.- Learning When to Communicate among Actors with Centralized Critic for Multi-agent System.- Social Media and Online Communities.- Academic text classification algorithm based on pre-trained model and keyword extraction.- ResConvE: Deeper Convolution-based Knowledge Graph Embeddings.- Extractive-Abstractive: A Two-Stage Model for Long Text Summarization.- A Random-walk-based Heterogeneous Attention Network for Community Detection.- Attributed Network Embedding based on Attributed-subgraph-based Random Walk for Community Detection.- Adaptive Seed Expansion Based on Composite Similarity for Community Detection in Attributed Networks.- MDN: Meta-transfer Learning Method for Fake News Detection.- Local Community Detection Algorithm Based on Core Area Expansion.- Federated Clique Percolation for Overlapping Community Detection on Attributed Networks.- A new academic conference information management system based on social network.- A Full Information Enhanced Question Answering System Based on Hierarchical Heterogeneous Crowd Intelligence Knowledge Graph.- Exploring the Content Sharing Practice across Social Network Sites.- An Improved Label Propagation Algorithm for Community Detection Fusing Temporal Attributes.- Understanding Scholar Social Networks: Taking SCHOLAT as An Example.- SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information.- A Graph Neural Network-based Approach for Predicting Second Rise of Information Diffusion on Social Networks.- HPEMed: Heterogeneous Network Pair Embedding for Medical Diagnosis.- MR-LGC: A Mobile Application Recommendation Based on Light Graph Convolution Networks.- Neural Matrix Decomposition Model Based on Scholars’ Influence.- DOCEM: A Domain-embedding-based Open-source Community Event Monitoring Model.- Diversified Concept Attention Method for Knowledge Tracing.- Self-auxiliary Hashing for Unsupervised Cross Modality Retrieval.- RCBERT An Approach with transfer learning for App reviews classification.- The Impact of COVID-19 on Online Games: Machine Learning and Difference-In-Difference.- Uncertain Graph Publishing of Social Networks for Objective Weighting of Nodes.- Federated Multi-label Propagation Based on Neighbor Node Influence for Community Detection on Attributed Networks.- AcaVis: A Visual Analytics Framework for Exploring Evolution of Dynamic Academic Networks.- Dynamic Information Diffiusion Model Based on Weighted Information Entropy.

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Book SynopsisThis book constitutes the refereed proceedings of the 17th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2022, held in Beijing, China, during April 23–24, 2022.The 25 full papers included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/Video big data analysis and understanding; computer graphics; visualization and visual analysis; applications of image and graphics.Table of ContentsImage processing and enhancement techniques.- Multi-Resolution Parallel Aggregation Network for Single Image Deraining.- Multi-scale Bézier filter based infrared and visual image fusion.- Towards Neural Video Compression: A Rate Distortion Modeling Perspective.- A Fast Line and Ellipse Detection on High Resolution Images.- Quality Assurance and Verification of GFDM Satellite Imagery.- Machine vision and 3D reconstruction.- BSIHKS of 3D point cloud model and model matching: bi-temporal scaling invariant heat kernel signature.- A review of solutions to stereo correspondence challenges.- Low Overlapping Plant Point Cloud Registration and Splicing Method Based on FPFH.- Integration of Depth Normal Consistency and Depth Map Refinement for MVS Reconstruction.- Image/Video big data analysis and understanding.- Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection.- Deform-CAM: Self-Attention Based on Deformable Convolution for Weakly Supervised Semantic Segmentation.- Density-NMS: Cell Detection and Classification in Microscopy images.- Face Detection in Distorted Images Based onImage Restoration and Meta-learning.- Person Re-identification using Multi-branch Cooperative Network.- Cross-domain object detection through Image-Category features joint alignment.- Detection of abnormal crowd behavior based on ViBE and Optical flow methods.- Generating Lymphoma ultrasound image description with Transformer model.- Computer graphics.- Accelerated Photon Mapping for Homogeneous Participating Media Based on Octree.- Visualization and visual analysis.- A Survey of Literature Analysis Methods based on Representation Learning.- Applications of image and graphics.- A MobileNet SSDLite Model with Improved FPN for Forest Fire Detection.- Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission.- MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations.- Design and Implementation of a Digital Star Map Simulation Module.- Design and Implementation of The Search System Based on The Airborne Multi-mode Imaging Cloud Platform.- Method for Imaging Quality Evaluation of Onboard Camera of Image-guided Projectile.- Stroke Based Painting with 3D Perception.

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Book SynopsisThis volume constitutes the papers of several workshops which were held in conjunction with the 4th International Conference on Science of Cyber Security Workshops, SciSec 2022, held in Matsue, Japan, in August 10–12, 2022. The 15 revised full papers and 3 posters were presented in this book were carefully reviewed and selected from 30 submissions.They were organized in topical sections as follows: AI Crypto and Security Workshop (AI-CryptoSec); Theory and Application of Blockchain and NFT Workshop (TA-BC-NFT); and Mathematical Science of Quantum Safety and its Application Workshop (MathSci-Qsafe).Table of Contents​AI Crypto and Security Workshop (AI-CryptoSec).- Image Data Recoverability against Data Collaboration and its Countermeasure.- Image Data Recoverability against Data Collaboration and its Countermeasure.- Human Security Behavior Assistance in the Cyber-physical Space.- A Privacy-preserving Electricity Theft Detection (PETD) Scheme for Smart Grid.- Design and implementation of VCP network for Open Flow.- Theory and Application of Blockchain and NFT Workshop (TA-BC-NFT).- Medical waste treatment process based on Blockchain technology - a case study of Covid-19 waste handling in Vietnam.- Blockchain technology-based management of blood and its products - a case study in Vietnam.- Application of the elimination competition mechanism based on blockchain multi-supervision in vehicle data sharing.- Economic Perspective of Cybersecurity: Principles and Strategies.- Towards a Dynamic Reputation Management Scheme for Cross-chain Transactions.- Mathematical Science of Quantum Safety and its Application Workshop (MathSci-Qsafe).- Revisiting Security of Symmetric-Key Encryption with Imperfect Randomness and Correlation between Source and Keys.- A Secure Image-Video Retrieval Scheme with Attribute-Based Encryption and Multi-Feature Fusion in Smart Grid.- A Survey on Privacy Preserving Synthetic Data Generation and a Discussion on a Privacy-Utility Trade-off Problem.- Multi-Client Private Decision Tree Classification using Threshold Fully Homomorphic Encryption.- Advances in adversarial attacks and defenses in Intrusion Detection System: A survey.- Zero-touch Provisioned Device Lifecycle and Its Security in IoT.- Activation Code Delivery on V2X Pseudonym Certificate Revocation.- Federated Active Learning.

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Book Synopsis.- Analysis of Intelligent Multi-UAV Communication Systems Based on SC/MRC..- Relay-assisted Techniques of Underwater Wireless Optical Communication: A Review..- Design and Optimization of Antennas Based on Machine Learning..- An In-Depth Analysis of the Recent Progress and Remaining Obstacles in Radar Signal Processing: A Holistic Evaluation..- Signal Processing of φ-OTDR Based on Compressed Sensing and Block Matching..- Research on Digital System Based on Modular Component Prefabrication Site Selection Model..- A Review of Research on Extractive and Generative Automatic Text Summarization..- Blockchain Based Electronic License Traceability and Anti-counterfeiting Identification Method for Power Business..- Research on Pricing Method of Stainless Steel Cladding with Big Data..- Distribution Coverage and Dynamic Optimization for Air-ground Heterogeneous ISAC Systems..- A Data-Driven, Object-Oriented Platform for Intelligent Cost Management in Engineering Projects..- Fusion Feature-Based Lymph Node Ultrasound Image Classification Model..- Expanding Range and Flexibility: Reference-Free Radar Networks for Multi-Target Detection..- A Privacy Computing Platform for Electric Power Information System Based on Blockchain and Trusted Computing Sandbox..- Efficient Super-Resolution Range-Angle Estimation via Positive Atomic Norm Minimization..- SysML-Based Design Information Organization of Modern Power Plant Engineering..- B/S Architecture-Based Quality Inspection Information Management System..- AI-Driven Automotive Systems: Integrating Artificial Intelligence in Next-Gen Vehicles..- Deep Learning-based Traffic Detection Method Using m-Sequence Word Embedding and Boruta Feature Selection on Adjusting Attention Mechanisms..- Deep Learning-Based Fault Detection Method Using Convolutional Code Word Embedding and Maximum Mutual Information Attention Mechanism..- TransTraffic:Transformer-based Encrypted Traffic Behavior Identification for Industrial Control Systems..- Parameter Identification Method of MIMO System Based on VAE and GAN..- Degree-Controllable Detail Attention-Enhanced Lightweight Fast Style Transfer..- Semi-Distributed Scheduling Method for Cross-Domain TSN Traffic Based on Dual-Color Cooperative Bat Algorithm..- Study on Comprehensive Slicing and Isolation Techniques for Secure and Reliable Vehicle-to-Roadside Communications in 5G Networks..- Research on Real-Time Processing Technology of Distributed Optical Fiber Sensing Signal Based on FPGA..- UAV Frequency Hopping Jamming Signal Generation Based on Generative Adversarial Network..- . Connecting the Dots for Autonomous Transportation: How V2X Can Help Advance Self-Driving Vehicles..- Advanced Techniques for Microwave Field Measurement Using Rydberg Atoms..- Wireless Channel Prediction Method based on Improved Neural Network in Complex and Harsh Environments..- Application and Cost Analysis of Smart Site in Engineering Construction..- Establishment of a Full-Process Management System for BIM in Engineering Procurement Construction..- The Research on The Application of BIM in Contract Settlement for Large-Scale Complex Construction Projects..- Application of Parametric Technology in the Field of Building Design..- Automated Penetration Testing System Based on PTES and ATT&CK..- Dual-Attention ResNet for Real-Time Beamforming..- Development of a Graphical Design Tool for Unified Data Models: A Case Study of SG-CIM for Power Grid Systems..- A Routing Optimization Mechanism for Performance Sensitive Services in Power Communication Networks..- Deep Learning-Based Direction of Arrival Estimation Using Dual-Domain Covariance Features.

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Book SynopsisBlockchain Architecture.- EchoShard: A Blockchain Sharding System for Efficient Execution of Cross-Shard Smart Contract Transactions.- Tower: A Layered Approach to Sharding Blockchain for Enhanced Processing Efficiency.- Enhancing Hyperledger's Ordering Service: A Raft-Based Sharding Mechanism.- Sharding Scheme based on Hybrid Trust Model.- A Cross-chain Transmission Protocol Based Oracle.- Innovative Applications of Blockchain.- Organization-wide Distributed Access Control for Zero Trust Security based on a Consortium Blockchain.- CGDC: A Secure External Data Collection Mechanism for Blockchain.- BDIA-Sensor: Blockchain-Based Distributed Identity Authentication for Sensors in Carbon Data Tracing.- Blockchain Price Oracles for Digital Asset Trading.- Quality Traceability System for Garlic Sprout Products Based on Blockchain Technology.- Consensus Mechanism and Smart Cntracts.- Improved PBFT Consensus Algorithm Based on Clustering and Reputation Value for IoT.- GRDPoS: Improvement of the DPoS Consensus Mechanism Based on Complex Networks.- SmartAR: Gas-Efficient Automated Repair for Integer Overflow Vulnerabilities in Smart Contracts.- HETCN: A Highly Efficient Temporal Convolutional Neural Network for Vulnerability Detection in Smart Contracts.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023.The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems.Table of ContentsDepression & Mental Health.- Detection of depression and its likelihood in children and adolescents: Evidence from a 15-years study.- A combined attribute extraction method for detecting Postpartum Depression using Social Media.- Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases based on the China Health and Retirement Longitudinal Study.- Exploring Etiology of Nonsuicidal Self-Injury by Using Knowledge Graph Approach.- A Question and Answering System for Mental Health of the ElderlyBased on BiLSTM-CRF Model and Knowledge Graph.- Data Security, Privacy & Healthcare Systems.- Australia's Notifiable Data Breach scheme: An analysis of risk management findings for healthcare.- Analysis and Protection of Public Medical Dataset: from Privacy Perspective.- Enhancing Health Information Systems Security: An Ontology Model Approach.- Developing a Risk Management Framework for E-health Care Delivery.- Neurological & Cognitive Disease Studies.- Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification.- A Robust Approach for Parkinson Disease Detection from Voice Signal.- Analysis on Association between Vascular Risk Factors and Lifestyle Factors with the risk of Dementia/Alzheimer's Disease using Medical Ontologies.- COVID-19 Impact Studies.- Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance.- Understanding the influence of multiple factors on the spread of Omicron variant strains via the Multivariate Regression Method.- Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results.- Advanced Medical Data & AI Techniques.- BiblioEngine: An AI-empowered Platform for Disease Genetic Knowledge Mining.- Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.- Multi-modal Medical Data Exploration Based on Data Lake.- Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.- Requirement survey in Thai clinician for designing digital solution of pain assessment.- Predictive Analysis & Disease Recognition.- A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI's.- Image Recognition of Chicken Diseases Based on Improved Residual Networks.- An Adaptive Feature Fusion Network for Alzheimer's Disease Prediction.- A Review on Predicting Drug Target Interactions Based on Machine Learning.- KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.- Medical Imaging & Dataset Exploration.- Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.- Multi-dimensional Complex Query Optimization for Disease-specific Data Exploration Based on Data Lake.- Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka.- Elderly Care & Knowledge Systems.- Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.- Constructing Multi-Constrained Cognitive Diagnostic Test: An Improved Ant Colony Optimization Algorithm.- Enhancing Patient Safety in Pharmacotherapy.

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsRSID: A remote sensing image dehazing network.- ContextNet: Learning Context Information for Texture-less Light Field Depth Estimation.- An Efficient Way for Active None-line-of-sight: End-to-end Learned Compressed NLOS Imaging.- DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging.- EVCPP:Example-driven Virtual Camera Pose Prediction for cloud performing arts scenes.- RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution.- WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction.- Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection.- Frequency and Spatial Domain Filter Network for Visual Object Tracking.- Enhancing Feature Representation for Anomaly Detection via Local-and-Global Temporal Relations and a Multi-Stage Memory.- DFAformer: A Dual Filtering Auxiliary Transformer for Efficient Online Action Detection in Streaming Videos.- Relation-guided Multi-stage Feature Aggregation Network for Video Object Detection.- Multimodal Local Feature Enhancement Network for Video Summarization.- Asymmetric Attention Fusion for Unsupervised Video Object Segmentatio.- Flow-Guided Diffusion Autoencoder for Unsupervised Video Anomaly detection.- Prototypical Transformer for Weakly Supervised Action Segmentation.- Unimodal-Multimodal Collaborative Enhancement for Audio-Visual Event Localization.- Dual-memory feature aggregation for video object detection.- Going Beyond Closed Sets: A Multimodal Perspective for Video Emotion Analysis.- Temporal-Semantic Context Fusion for Robust Weakly Supervised Video Anomaly Detection.- A Survey: the Sensor-based Method for Sign Language Recognition.- Utilizing Video Word Boundaries and Feature-based Knowledge Distillation Improving Sentence-level Lip Reading.- Denoised Temporal Relation Network for Temporal Action Segmentation.- 3D Lightweight Spatial-Spectral Attention Network for Hyperspectral Image Classification.- Deepfake Detection via Fine-Grained Classification and Global-Local Information Fusion.- Unsupervised Image-to-Image Translation with Style Consistency.- SemanticCrop: Boosting Contrastive Learning via Semantic-cropped Views.- Transformer-based multi-object tracking in unmanned aerial vehicles.- HEI-GAN: A Human-Environment Interaction based GAN for Multimodal Human Trajectory Prediction.- CenterMatch: A Center Matching Method for Semi-supervised Facial Expression Recognition.- Cross-Dataset Distillation with Multi-Tokens for Image Quality Assessment.- Quality-Aware CLIP for Blind Image Quality Assessment.- Multi-Agent Perception via Co-Attentive Communication Mechanism.- DBRNet:Dual-Branch Real-Time Segmentation NetWork For Metal Defect Detection.- MaskDiffuse: Text-guided Face Mask Removal based on Diffusion Models.- Image Generation Based Intra-class Variance Smoothing for Fine-grained Visual Classification.- Cross-Domain Soft Adaptive Teacher for Syn2Real Object Detection.- Dynamic Graph-Driven Heat Diffusion: Enhancing Industrial Semantic Segmentation.- EKGRL: Entity-based Knowledge Graph Representation Learning for Fact-based Visual Question Answering.- Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition.- A high-resolution network based on feature redundancy reduction and attention mechanism.

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