Dialogue policy trains an agent to select dialogue actions frequently implemented via deep reinforcement learning (DRL). The model-based reinforcement methods built a world model to generate simulated data to alleviat...
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This paper presents the design and testing of a voice-activated cleaning system for home automation. The system allows users to control a floor cleaning robot using voice commands. The robot is equipped with a Bluetoo...
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Leadership in agile teams is a collective responsibility where team members share leadership work based on expertise and skills. However, the understanding of leadership in this context is limited. This study explores...
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ISBN:
(纸本)9783031783852;9783031783869
Leadership in agile teams is a collective responsibility where team members share leadership work based on expertise and skills. However, the understanding of leadership in this context is limited. This study explores the under-researched area of prototypical leadership, aiming to understand if and how leaders who are perceived as more representative of the team are more effective leaders. Qualitative interviews were conducted with eleven members of six agile software teams in five Swedish companies from various industries and sizes. In this study, the effectiveness of leadership was perceived as higher when it emerged from within the team or when leaders aligned with the group. In addition, leaders in managerial roles that align with the team's shared values and traits were perceived as more effective, contributing to overall team success.
In the evolving landscape of supply chain management, the integration of radio-frequency identification (RFID) technology has marked a significant milestone. This development has led to the emergence of a new system i...
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Unbalanced data distribution is a common problem in the development process of credit scoring cards. This paper proposes a new method of mixed sampling, SyMProD-ENN, to improve the problem of developing effective cred...
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The use of large language models (LLMs) for softwareengineering is growing, especially for code - typically to generate code or to detect or fix quality problems. Because requirements are often written in natural lan...
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ISBN:
(纸本)9783031783852;9783031783869
The use of large language models (LLMs) for softwareengineering is growing, especially for code - typically to generate code or to detect or fix quality problems. Because requirements are often written in natural language, it seems promising to exploit the capabilities of LLMs to detect requirement problems. We replicated an inspection experiment in which computerscience students searched for defects in requirements documents using different reading techniques. In our replication, we used the LLM GPT-4-Turbo instead of students to determine how the model compares to human reviewers. Additionally, we considered GPT-3.5-Turbo, Nous-Hermes-2-Mixtral-8x7B-DPO, and Phi-3-medium-128k-instruct for one research question. We focus on single prompt approaches and avoid more complex approaches to mimic the original study design where students received all the material at once. We had two phases. First, we explored the general feasibility of using LLMs for requirements inspection on a practice document and examined different prompts. Second, we applied selected approaches to two requirements documents and compared the approaches to each other and to human reviewers. The approaches include variations in reading techniques (ad-hoc, perspective-based, checklist-based), LLMs, the instructions, and material provided. We found that LLMs (a) report only a limited number of deficits despite having enough tokens, which (b) do not vary much across prompts. They (c) rarely match the sample solution.
The global elderly population is projected to double by 2050, creating challenges in mobility, social isolation, and cognitive decline. Socially Assistive Robots (SARs) offer a promising solution, yet gaps remain in i...
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Modern computer graphics systems usually manage a set of internal data to store control parameters and all kind of graphics data. The behind problem on these graphics system data is that they are frequently updated an...
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A sentiment analysis scheme for image and text comments based on multimodal deep learning and spatiotemporal attention is proposed to address the issues of incomplete spatiotemporal considerations, incomplete implemen...
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engineering design course is renowned for its abstraction and complexity, which can have an impact on the quality of classroom instruction. To address this issue, this study has undertaken the design and development o...
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