The main focus of this research work is on designing the dimensions of the proposed DC-DC and DC-AC converters. Since it is an unprecedented DC-DC converter, it is important to enable the DC-DC converter to enable sim...
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The research lacks the evidence that our software systems technology has made us psychologically healthier. The ubiquitous software systems have been eminently impacting our well-being which is our fundamental goal in...
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ISBN:
(数字)9783031617539
ISBN:
(纸本)9783031617522;9783031617539
The research lacks the evidence that our software systems technology has made us psychologically healthier. The ubiquitous software systems have been eminently impacting our well-being which is our fundamental goal in life as human beings. Studies have shown that the human well-being (a primary user experience outcome) is dependent on the satisfaction of certain psychological needs. However, normally, the software system development processes neglect the psychological requirements of humans who use and interact with these systems, focusing primarily on the purpose of the system itself. In order to address this challenge, this paper contributes a framework: Sustainable User eXperiences Enabled Human-centered (SUXEH) framework that promotes to actively support human psychological needs by providing guidelines on how to model the fundamental psychological needs as explicit system functionalities in the early stages of the software systems development process. The framework does so in a way that eases the integration of sustainable user experience aspects (mediated by the human needs) in the systems design phase of the overall development process. The SUXEH framework guidelines are demonstrated using a case study, the Taxi System.
Manifold learning method is a dimensionality reduction method that treats the data in non-Euclidean space as a Euclidean space in a local scope. However, most existing manifold learning methods cannot obtain the true ...
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Blockchain has received expanding interest from various domains. Institutions, enterprises, governments, and agencies are interested in Blockchain's potential to augment their software systems. The unique requirem...
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ISBN:
(数字)9783030960681
ISBN:
(纸本)9783030960681;9783030960674
Blockchain has received expanding interest from various domains. Institutions, enterprises, governments, and agencies are interested in Blockchain's potential to augment their software systems. The unique requirements and characteristics of Blockchain platforms raise new challenges involving extensive enhancement to conventional software development processes to meet the needs of these domains. softwareengineering approaches supporting Blockchain-oriented developments have been slow to materialize, despite proposals in the literature, and they have yet to be objectively analyzed. A critical appraisal of these innovations is crucial to identify their respective strengths and weaknesses. We present an analytical evaluation of several prominent Blockchain-oriented methods through a comprehensive, criteria-based evaluation framework. The results can be used for comparing, adapting, and developing a new generation of Blockchain-oriented software development processes and innovations.
As a new software system, the Intelligent Health Hut software project is characterized by exploration, creativity, and uncertainty. This makes the traditional waterfall development model unapplicable, thus allowing th...
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The proceedings contain 79 papers. The topics discussed include: an interactive approach for query-based multi-document scientific text summarization;enhancing Persian word sense disambiguation with large language mod...
ISBN:
(纸本)9798331511272
The proceedings contain 79 papers. The topics discussed include: an interactive approach for query-based multi-document scientific text summarization;enhancing Persian word sense disambiguation with large language models techniques and applications;assessing users' influence on respondents in conversation quality: a quantitative study on reddit based on the cooperative principle;non-negative matrix factorization improves residual neural networks;cluster sampling: a cluster-driven sampling strategy for deep metric learning;a scalable blockchain-based educational network for data storage and assessment;towards efficient capsule networks through approximate squash function and layer-wise quantization;automated software design using machine learning with natural language processing;evaluation of efficient electrocardiomatrix-based identification using deep learning methods;disturbance rejection in quadruple-tank system by proposing new method in reinforcement learning;and an improved and accurate measure for mining correlated high-utility itemsets.
Automated self-supervised learning frameworks have shown significant results in the recommendation domain. However, existing methods such as AutoCF use graph convolutional networks and graph attention mechanisms that ...
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In the realm of computer vision and 3D reconstruction, the accurate conversion of images into depth maps is crucial. This paper focuses on depth estimation techniques to assess their accuracy and reliability in genera...
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In recent years, language models have undergone significant advancements with models like GPT-3, showcasing impressive abilities in natural language processing and generation. However, these models often experience fr...
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The rapid expansion of Wireless Sensor Networks (WSNs) in the realm of Industrial Internet of Things (IIoT) demands sophisticated routing protocols to ensure energy efficiency and reliable communication. This paper in...
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