This work-in-progress research-to-practice paper provides ongoing results from the development and testing of a personalized learning system integrated into a serious game. Given limited instructor resources, the use ...
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Traditional power big data processing methods can no longer meet the development trend of power big data. Designing and implementing high-performance power big data servers for real-time collection, analysis, and proc...
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Although being well-adopted and in widespread use, attribute-based access control (ABAC) remains a hard-to-master security paradigm in application software development. Despite considerable research towards ABAC polic...
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New techniques of 3D image acquisition using coded aperture correlation holography (COACH) with unique imaging properties are presented. Among other things, COACH is applied for incoherent 3D imaging with an extended ...
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Mushroom categorization is a difficult process since there are so many different species and they all have different aesthetic qualities. In this paper, we are to investigate the use of transfer learning techniques fo...
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Music genre classification is a prominent challenge in music information retrieval research. Most techniques for music genre classification employ machine learning algorithms to classify feature vectors extracted from...
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Considered the issues of choosing an IoT platform using the Elastic Stack (ELK) program stack. The platform will make it possible to collect data, transfer, process information, monitor and analyze the collected data....
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The paper presents a study of the effectiveness of software from the point of view of minimizing the energy consumption of microprocessor devices. In this case, the programming of the microcontroller in various progra...
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ISBN:
(数字)9798331520564
ISBN:
(纸本)9798331520571
The paper presents a study of the effectiveness of software from the point of view of minimizing the energy consumption of microprocessor devices. In this case, the programming of the microcontroller in various programming languages for arithmetic operations, as well as data output through the port, is considered. In the course of the tests, the peculiarities of the application of this or that program and their operation, taking into account the energy saving of the microcontroller, are noted.
Recently, graph neural networks(GNNs) have played a key crucial in many recommendation situations. In particular, contrastive learning-based hypergraph neural networks (HGNNs) are gradually becoming a research focus f...
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As softwaresystems expand in complexity, managing the vast and varied collection of test cases becomes increasingly difficult with traditional manual testing methods. This paper presents a new approach for automating...
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ISBN:
(数字)9798331532390
ISBN:
(纸本)9798331532406
As softwaresystems expand in complexity, managing the vast and varied collection of test cases becomes increasingly difficult with traditional manual testing methods. This paper presents a new approach for automating the generation of structured test cases, named Test Element Extraction and Restructuring (TEER), which leverages the advanced natural language processing capabilities of large language models (LLMs). Specifically targeting human-computer interaction (HCI) software, TEER employs prompt tuning techniques to extract critical elements from natural language test cases and systematically reassemble them into structured formats. The study evaluates the effectiveness of TEER by applying it to common test cases from desktop HCI applications. The experimental results demonstrate that this method successfully produces structured test cases that meet predefined requirements.
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