The proceedings contain 561 papers. The topics discussed include: a benchmarking framework for domain specific software;a broker-based architecture for quality-driven web services composition;a clustering query algori...
ISBN:
(纸本)9781424453924
The proceedings contain 561 papers. The topics discussed include: a benchmarking framework for domain specific software;a broker-based architecture for quality-driven web services composition;a clustering query algorithm based on particle swarm in wireless sensor networks;a combined prediction method for network security situation;a conservative prefix delegation policy for nested mobile networks based on paging mechanism;a contour-based method on image retrieval;a cross-platform supported technique for embedded software generation;a data-driven software testing tools integration system;a digital fingerprinting scheme of digital image;a distributed spatial data sharing and management system for forest farms;a enhanced trust model based on social network and online behavior analysis for recommendation;a general framework for fuzzy data mining;a global efficiency optimization model of service evaluation and selection;and a high energy efficiency link layer adaptive error control mechanism for wireless sensor networks.
The proceedings contain 1289 papers. The topics discussed include: 3D city building hierarchical models representation and data organization;3D visualization of stratum with faults based on VTK;a linear mean-field ann...
ISBN:
(纸本)9781424445073
The proceedings contain 1289 papers. The topics discussed include: 3D city building hierarchical models representation and data organization;3D visualization of stratum with faults based on VTK;a linear mean-field annealing algorithm solving weapon target assignment problem;a mathematics model of customer churn based on PCA analysis;a method based on generation models for analyzing sentiment-topic in texts;a method for combinatorial explosion avoidance of AI planner and the application on test case generation;a method of detecting program plagiarism based on variable dependence;a survey of shilling attacks in collaborative filtering recommender systems;a synthetical cipher index technology and its cryptogram query strategy in outsourced databases;a synthetical evaluation method of torpedo maintainability based on VR;a term weighting approach with subjective logic reasoning for text categorization;and a thread-level pipeline parallel model for CMP.
The proceedings contain 39 papers. The special focus in this conference is on computationalintelligence and Smart Technologies in Electrical engineering. The topics include: G-M Estimator-Based Linear Robust Static S...
ISBN:
(纸本)9789819604753
The proceedings contain 39 papers. The special focus in this conference is on computationalintelligence and Smart Technologies in Electrical engineering. The topics include: G-M Estimator-Based Linear Robust Static State Estimation of Power Systems Considering Uncertain Noise Characteristics;Optimizing EV Charging System with Renewable Integration and Hierarchical Energy Management Strategy;Brushless DC Motor Driving System Design for an Electric Vehicle;voltage Stability Assessment Using Energy Function in N-1 Contingency;A Soft-Switched ZVS Buck-Boost Converter Design and Analysis;application of a New Swarm Intelligent Metaheuristic in Solving Load Flow Analysis Problem;Fault Analysis in 11/3.3/0.4 KVAC Microgrid: A Validation Study Using ETAP software;optimizing Recloser Settings for a Fast Operation in an Active Distribution System;development of Islanding Detection Technique Using Positive and Negative Sequence Voltage and Current in Microgrid Atmosphere;Design and Implementation of an IoT-Enabled ECG Sensor System for Real-Time Cardiac Monitoring;Short Circuit and Harmonics Analysis of IEEE 8 Bus Transmission Systems Using DIgSILENT Power Factory;protection Coordination of Transient Stability Constrained User-Defined Relays in Distributed Generation Systems;ROCOF Control of a Shipboard Marine Power System;Comparative Study of PQ Control and Droop Control Schemes for Smart Microgrid;Energy Cost Analysis Over One Year of BVRIT Distribution Grid Fed with a 440 kWp Decentralized Solar PV Energy System;a Comparative Analysis of Fault Detection and Classification in Distribution System Using Machine Learning Techniques;identification of Non-technical Losses Using Data Driven Approach;Machine Learning-Based Protection Scheme to Enhance Resiliency of PV-Fed DC Microgrid;Towards Energy Independence: Optimizing PV/Diesel/Wind Hybrid Systems with HOMER.
The proceedings contain 39 papers. The special focus in this conference is on computationalintelligence and Smart Technologies in Electrical engineering. The topics include: G-M Estimator-Based Linear Robust Static S...
ISBN:
(纸本)9789819799152
The proceedings contain 39 papers. The special focus in this conference is on computationalintelligence and Smart Technologies in Electrical engineering. The topics include: G-M Estimator-Based Linear Robust Static State Estimation of Power Systems Considering Uncertain Noise Characteristics;Optimizing EV Charging System with Renewable Integration and Hierarchical Energy Management Strategy;Brushless DC Motor Driving System Design for an Electric Vehicle;voltage Stability Assessment Using Energy Function in N-1 Contingency;A Soft-Switched ZVS Buck-Boost Converter Design and Analysis;application of a New Swarm Intelligent Metaheuristic in Solving Load Flow Analysis Problem;Fault Analysis in 11/3.3/0.4 KVAC Microgrid: A Validation Study Using ETAP software;optimizing Recloser Settings for a Fast Operation in an Active Distribution System;development of Islanding Detection Technique Using Positive and Negative Sequence Voltage and Current in Microgrid Atmosphere;Design and Implementation of an IoT-Enabled ECG Sensor System for Real-Time Cardiac Monitoring;Short Circuit and Harmonics Analysis of IEEE 8 Bus Transmission Systems Using DIgSILENT Power Factory;protection Coordination of Transient Stability Constrained User-Defined Relays in Distributed Generation Systems;ROCOF Control of a Shipboard Marine Power System;Comparative Study of PQ Control and Droop Control Schemes for Smart Microgrid;Energy Cost Analysis Over One Year of BVRIT Distribution Grid Fed with a 440 kWp Decentralized Solar PV Energy System;a Comparative Analysis of Fault Detection and Classification in Distribution System Using Machine Learning Techniques;identification of Non-technical Losses Using Data Driven Approach;Machine Learning-Based Protection Scheme to Enhance Resiliency of PV-Fed DC Microgrid;Towards Energy Independence: Optimizing PV/Diesel/Wind Hybrid Systems with HOMER.
With organizations seeking faster, cheaper, and smarter ways of delivering higher quality software, many are looking towards generative artificial intelligence (AI) to drive efficiencies and innovation throughout the ...
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With organizations seeking faster, cheaper, and smarter ways of delivering higher quality software, many are looking towards generative artificial intelligence (AI) to drive efficiencies and innovation throughout the software development lifecycle. However, generative AI can suffer from several fundamental issues, including a lack of traceability in concept generation and decision-making, the potential for making incorrect inferences (hallucinations), shortcomings in response quality, and bias. Quality engineering (QE) has long been utilized to enable more efficient and effective delivery of higher quality software. A core aspect of QE is adopting quality models to support various lifecycle practices, including requirements definition, quality risk assessments, and testing. In this position paper, we introduce the application of QE to AI systems, consider shortcomings in existing AI quality models from the international Organization for Standardization (ISO), and propose extensions to ISO models based on the results of a survey. We also reflect on skills that IT graduates may need in the future, to support delivery of better-quality AI.
Artificial intelligence (AI) is an innovative practice of the human mind that plays its role at different levels either in education or profession nowadays. Authors are keen to study the role of AI in education, espec...
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Artificial intelligence (AI) is an innovative practice of the human mind that plays its role at different levels either in education or profession nowadays. Authors are keen to study the role of AI in education, especially architecture education. Professional education is undergoing transformations in India in a broader way after implementation of NEP 2020. More emphasis toward skilled outcomes involves many software's, co-curricular activities and reframing of scheme and syllabi w.r.t. futuristic scopes like artificial intelligence. "Involvement of AI in architecture needs to be practiced in respect to data usage (may be impossible to process without the contribution of computational technologies), indexing and classification of information and processing like emotional connect with client, Legal codes, physical environment analysis, user's needs, functional requirements, previous cases, etc., other than different educational and professional basic software requirements (https://***/blog/insights/research-insights/how-architecture-affects-human-behavior/, 2023, [1]). Opinions claiming that AI can fully replace architects are similarly present as opinions claiming the exact opposite. Currently, it is not possible to replace all local architectural tasks" [2]. Study on the 'Future of Employment' (2013) concludes that "various professions are being replaced by artificial intelligence using a digitalized world while professions in architecture have the least risk with only 1.8% (https://***/doesai-allow-architects-to-return-to-the-heart-of-their-profession/, 2023, [3]). Architecture placed on negligible risk is due to the number of diverse tasks involved which may get transformed in future as technology will be more advanced and widespread (Clark in J Archit Psychol 7(4):250-265, 2022, [4])" (Benedikt and Osborne in The future of employment: how susceptible are jobs to computerisation?, 2013, [5]). COVID pandemic has raised the need for
This paper proposes a malicious domain name detection method based on the combination of deep learning and software-defined networks. Aiming at the collection difficulty and long period problem of new malicious domain...
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With the rapid development of technology and people's increasing attention to healthy living quality, deeply integrating intelligent technology into the health field of elderly housing has become an irreversible a...
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When users apply for an account in the "Tianqing" system, they can only fill in a maximum of 3 IP addresses bound to the account, so the software developed based on "Tianqing" can only theoreticall...
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All machine learning procedures consume a mathematical foundation. The aforementioned is applicable to Deep Learning, Optimization, and any additional Statistics Science processes since Deep Knowledge is a subset of M...
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