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检索条件"任意字段=19th International Conference on Software Engineering and Knowledge Engineering"

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Analysis and Monitoring Energy Consumption in Basic Electric Bills 19

Analysis and Monitoring Energy Consumption in Basic Electric...

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19th IEEE international Colloquium on Signal Processing and Its Applications, CSPA 2023

作者： Aziz, Anees Bt Abdul Amirrudin, Syahmi Al Hadi Bin Raya, Lilysuriazna Binti Integrated Microelectronic System and Application School of Electrical Engineering College of Engineering Universiti Teknologi MARA Shah Alam Selangor40450 Malaysia Universiti Teknologi MARA School of Electrical Engineering College of Engineering Shah Alam Selangor40450 Malaysia Management and Science University Faculty of Information Science and Engineering Shah Alam Selangor40100 Malaysia

ISBN: (纸本)9781665476928

the energy consumption of electrical household appliances is strongly influenced by the behavior of the people who live there. the ignorance of using the electrical appliances led to an increase in electricity bills every month. In order to achieve savings, a technology for monitoring electrical energy consumption is needed. this paper proposes a system designed for monitoring the power consumption of appliances in the home and sending the value to the Blynk application. this system uses an Esp32 board, a current sensor (SCT-013), a voltage sensor (ZMPT101B) and an LCD. the value detected by the sensor is sent to the LCD and Blynk to display current, voltage, power, and kWh. this allows users to monitor power consumption through the Blynk application on their smartphone and calculate power consumption on a daily or monthly basis. © 2023 IEEE.

关键词： Electric power utilization

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Automating Code-Related Tasks through Transformers: the Impact of Pre-training 23

Automating Code-Related Tasks Through Transformers: The Impa...

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45th IEEE/ACM international conference on software engineering (ICSE)

作者： Tufano, Rosalia Pascarella, Luca Bavota, Gabriele USI Univ Svizzera Italiana Software Inst Lugano Switzerland

ISBN: (纸本)9781665457019

Transformers have gained popularity in the software engineering (SE) literature. these deep learning models are usually pre-trained through a self-supervised objective, meant to provide the model with basic knowledge about a language of interest (e.g., Java). A classic pre-training objective is the masked language model (MLM), in which a percentage of tokens from the input (e.g., a Java method) is masked, with the model in charge of predicting them. Once pre-trained, the model is then fine-tuned to support the specific downstream task of interest (e.g., code summarization). While there is evidence suggesting the boost in performance provided by pre-training, little is known about the impact of the specific pre-training objective(s) used. Indeed, MLM is just one of the possible pre-training objectives and recent work from the natural language processing field suggest that pre-training objectives tailored for the specific downstream task of interest may substantially boost the model's performance. For example, in the case of code summarization, a tailored pre-training objective could be the identification of an appropriate name for a given method, considering the method name to generate as an extreme summary. In this study, we focus on the impact of pre-training objectives on the performance of transformers when automating code-related tasks. We start with a systematic literature review aimed at identifying the pre-training objectives used in SE. then, we pre-train 32 transformers using both (i) generic pre-training objectives usually adopted in SE;and (ii) pre-training objectives tailored to specific code-related tasks subject of our experimentation, namely bug-fixing, code summarization, and code completion. We also compare the pre-trained models with non pre-trained ones and show the advantage brought by pre-training in different scenarios, in which more or less fine-tuning data are available. Our results show that: (i) pre-training helps in boosting performance on

关键词： Pre-training Code Recommenders

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Multimodal Recommendation of Messenger Channels

Multimodal Recommendation of Messenger Channels

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19th international conference on Mining software Repositories (MSR)

作者： Koshchenko, Ekaterina Klimov, Egor Kovalenko, Vladimir JetBrains Res Amsterdam Netherlands JetBrains Res St Petersburg Russia

ISBN: (纸本)9781450393034

Collaboration platforms, such as Github and Slack, are a vital instrument in the day-to-day routine of software engineering teams. the data stored in these platforms has a significant value for data-driven methods that assist with decision-making and help improve software quality. However, the distribution of this data across different platforms leads to the fact that combining it is a very time-consuming process. Most existing algorithms for socio-technical assistance, such as recommendation systems, are based only on data directly related to the purpose of the algorithms, often originating from a single system. In this work, we explore the capabilities of a multimodal recommendation system in the context of software engineering. Using records of interaction between employees in a software company in messenger channels and repositories, as well as the organizational structure, we build several channel recommendation models for a software engineering collaboration platform, and compare them on historical data. In addition, we implement a channel recommendation bot and assess the quality of recommendations from the best models with a user study. We find that the multimodal recommender yields better recommendations than unimodal baselines, allows to mitigate the overfitting problem, and helps to deal with cold start. Our findings suggest that the multimodal approach is promising for other recommendation problems in software engineering.

关键词： Instruments software algorithms Decision making Collaboration software quality Data models Data mining

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Towards Mutual-Cognitive Human-Robot Collaboration: A Zero-Shot Visual Reasoning Method 19

Towards Mutual-Cognitive Human-Robot Collaboration: A Zero-S...

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19th IEEE international conference on Automation Science and engineering, CASE 2023

作者： Li, Shufei Zheng, Pai Xia, Liqiao Wang, Xi Vincent Wang, Lihui The Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong Kth Royal Institute of Technology Department of Production Engineering Stockholm Sweden

ISBN: (纸本)9798350320695

Human-Robot Collaboration (HRC) is showing the potential of widespread application in today's human-centric smart manufacturing, as prescribed by Industry 5.0. To enable safe and efficient collaboration, numerous visual perception methods have been explored, which allows the robot to perceive surroundings and plan collision-free, reactive manipulations. However, current visual perception approaches can only convey basic information between robots and humans, falling short of semantic knowledge. With this limitation, HRC cannot guarantee smooth operation when confronted with similar yet unseen situations in real-world applications. therefore, a mutual-cognitive HRC architecture is proposed to plan human and robot operations based on the learning of knowledge representation of onsite situations and task structures. A zero-shot visual reasoning approach is introduced to derive suitable teamwork strategies in the mutual-cognitive HRC from perceived results, including human actions and detected objects. It assigns adaptive robot path planning and knowledge support for humans by incorporating perception components into a knowledge graph, even when dealing with a new but similar HRC task. Lastly, the significance of the proposed mutual-cognitive HRC system is revealed through its evaluation in collaborative disassembly tasks of aging electric vehicle batteries. © 2023 IEEE.

关键词： knowledge representation

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Graph-enabled decision support system for alternative supplier selection in multi-disruption scenarios 19

Graph-enabled decision support system for alternative suppli...

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19th IEEE international conference on Automation Science and engineering, CASE 2023

作者： Hong Lim, Kendrik Yan Chew, Kim Hoe Liu, Ning Yang, Shanshan Chen, Chun-Hsien Liu, Yangshengyan Advanced Remanufacturing and Technology Centre Agency for Science Technology and Research Singapore School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore Institute of Industrial Engineering School of Mechanical Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9798350320695

Many enterprises today grapple with supply disruptions in a tumultuous post-COVID-19 environment caused by black swan events, resulting in lost sales and hindering growth. Supply networks, previously optimized for cost and time efficiencies, are overstretched, and are unable to cope with these dynamic events. To overcome these challenges and boost supply chain resilience, this study proposes a graph-enabled decision support system for alternative supplier selection to mitigate supply-related disruptions. Semantic modeling of complex transportation networks and custody chains are included within supplier network domain knowledge, disruption mitigation workflows, and others to support stakeholders in identifying the best supplier alternatives with multi-aspect considerations such as production and distribution factors. An industrial case study of fast-moving consumer goods (FMCG) is used to illustrate this system, which can reduce business impacts and provide faster response times toward multi-disruption mitigation. © 2023 IEEE.

关键词： Decision support systems

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Recent Changes in European Aviation Legislation in Relation to the Training of Aeronautical Technical Personnel 19

Recent Changes in European Aviation Legislation in Relation ...

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19th international Scientific conference on New Trends in Aviation Development, NTAD 2024

作者： Rácek, Branislav Hocko, Marián Horkay, Juraj Divok, Maroš Department of Aviation Engineering Technical University of Košice Faculty of Aeronautics Košice Slovakia

ISBN: (纸本)9798331527747

the aviation industry is one of the most dynamic sectors, with safety and quality of service dependent on skilled aircraft maintenance personnel. European legislation, in particular Regulation (EC) No 2042/2003 and subsequently Regulation (EU) No 1321/2014, lays down the rules for maintenance and licensing of technicians. the Part-66 system defines licenses for different aircraft types, with B1 and B2 licenses being key. Continuous education and training of personnel is mandatory to ensure they are competent to work with new technologies. Commission Regulation (EU) 2023/989 introduced changes, including an increase in the number of test questions in each module. Certification of organizations providing Part-147 training is essential for safety and quality of instruction. the COVID-19 pandemic has accelerated the introduction of distance learning in the training of aviation technical personnel. In NATO, EMAR regulations, based on civilian standards, adapted to military conditions, are important for military personnel. In Slovakia, the TUKE Faculty of Aviation is a key entity integrating EMAR into the training of military technicians. Training of personnel according to EMAR ensures interoperability and a high level of quality in the maintenance of military aircraft. © 2024 IEEE.

关键词： Personnel training

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Manual and Automatic Feature engineering in Digital Image Forgery Detection Algorithms: Survey 19

Manual and Automatic Feature Engineering in Digital Image Fo...

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19th IEEE international Colloquium on Signal Processing and Its Applications, CSPA 2023

作者： Mashaan, Wasen Fahad Ahmed, Ismail Taha University of Anbar College of Computer Sciences and Information Technology Anbar Iraq

ISBN: (纸本)9781665476928

Digital image forgery (DIF) detection has gained importance in recent years. Because of the availability of lowcost, high-resolution digital cameras, issues related to confirming the authenticity of digital images have been highlighted. the term '' manipulation'' refers to the changing of any image's objects or contents without giving any indication that anything has changed. In general, image splicing is one of the most popular techniques used to fake images. Image splicing is the process of adding or hiding things by copying portions of one image and pasting them elsewhere in the same image or into a different image. there have been several image splicing forgery detection surveys throughout the past few decades. However, neither the image forgery detection algorithms-based manual engineering features nor the image forgery detection algorithms-based automatic engineering features are covered by these surveys. this research provided a comparative analysis of image splicing by gathering several techniques and classifying them according to the features they employed, based on manual engineering features and automatic engineering features. © 2023 IEEE.

关键词： Feature extraction

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19th international conference on Logic and engineering of Natural Language Semantics, LENLS 2022

19th International Conference on Logic and Engineering of Na...

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19th international conference on Logic and engineering of Natural Language Semantics, LENLS 2022

ISBN: (纸本)9783031439766

the proceedings contain 13 papers. the special focus in this conference is on Logic and engineering of Natural Language Semantics. the topics include: Logic Operators and Quantifiers in Type-theory of Algorithms;slurs’ Variability, Emotional Dimensions, and Game-theoretic Pragmatics;measurement theory Meets Mereology in Multidimensionality in Resemblance Nominalism;events and Relative Clauses;the Semantic Markedness of the Japanese Negative Preterite: Non-existence of (Positive) Eventualities vs. Existence of Negative Eventualities;granularity in Number and Polarity Effects;contrafactives and Learnability: An Experiment with Propositional Constants;formalizing Argument Structures with Combinatory Categorial Grammar;a Proof-theoretic Analysis of the Meaning of a Formula in a Combination of Intuitionistic and Classical Propositional Logic;constraining Parse Ambiguity with Grammatical Codes;detecting Modality and Evidentiality: Against Purely Temporal-Aspectual Analyses of the German Semi-Modal Drohen.

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Is Human Factors Being Studied in software Testing?: Review of the Literature 8

Is Human Factors Being Studied in Software Testing?: Review ...

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8th IEEE international conference on Recent Advances and Innovations in engineering, ICRAIE 2023

作者： Yahaya, Nursyuhaila Yusop, Nor Shahida Mohamad Rosli, Marshima Mohd Universiti Teknologi MARA College of Computing Informatics and Mathematics Selangor Shah Alam Malaysia

ISBN: (纸本)9798350315516

software engineering is a human-centric activity influenced by human aspects such as age, gender, culture, language, attitudes, behaviors, and skills. While many of the studies in the software engineering area focused on the effect of human aspects in requirement engineering, design, and software development, only a limited number of studies are available investigating the relationship between human aspects and software testing. this study aims to explore the state of the art of human aspects in software testing, particularly to identify human factors studied in previous studies and how those human aspects affect software testing activities. A literature review was conducted on live reputable online databases, and we considered studies from 1994 to 2023. As a result, a total of 38 primary studies were identified. From the 38 studies, test execution was found to be the most researched software testing area related to human aspects, while test design and defect reporting were found to be the least researched. Among the seven categories of human aspects consisting of personality, experience, knowledge, hard skills, soft skills, personal characteristics, and teamwork values that we found, personality was the most studied. the results of this work are of interest to researchers in human-centric software engineering, particularly in software testing. Additionally, software organizations or employers can use the findings to support recruitment and staff management or improvise software testing processes for better software quality. © 2023 IEEE.

关键词： software testing

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Moving on from the software engineers' gambit: an approach to support the defense of software effort estimates 23

Moving on from the software engineers' gambit: an approach t...

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45th IEEE/ACM international conference on software engineering (ICSE)

作者： Matsubara, Patricia G. F. Steinmacher, Igor Gadelha, Bruno Conte, Tayana Univ Fed Amazonas UFAM Manaus AM Brazil Univ Fed Mato Grosso do Sul UFMS Campo Grande MS Brazil No Arizona Univ Flagstaff AZ USA

ISBN: (纸本)9781665457019

Pressure for higher productivity and faster delivery is increasingly pervading software organizations. this can lead software engineers to act like chess players playing a gambit-making sacrifices of their technically sound estimates, thus submitting their teams to time pressure. In turn, time pressure can have varied detrimental effects, such as poor product quality and emotional distress, decreasing productivity, which leads to more time pressure and delays: a hard-to-stop vicious cycle. this reveals a need for moving on from the more passive strategy of yielding to pressure to a more active one of defending software estimates. therefore, we propose an approach to support software estimators in acquiring knowledge on how to carry out such defense, by introducing negotiation principles encapsulated in a set of defense lenses, presented through a digital simulation. We evaluated the proposed approach through a controlled experiment with software practitioners from different companies. We collected data on participants' attitudes, subjective norms, perceived behavioral control, and intentions to perform the defense of their estimates in light of the theory of Planned Behavior. We employed a frequentist and a bayesian approach to data analysis. Results show improved scores among experimental group participants after engaging with the digital simulation and learning about the lenses. they were also more inclined to choose a defense action when facing pressure scenarios than a control group exposed to questions to reflect on the reasons and outcomes of pressure over estimates. Qualitative evidence reveals that practitioners perceived the set of lenses as useful in their current work environments. Collectively, these results show the effectiveness of the proposed approach and its perceived relevance for the industry, despite the low amount of time required to engage with it.

关键词： software Effort Estimation Negotiation Behavioral software engineering Defense of Estimates

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