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3D Modeling for a Flexible Detector in VR Radiography Simulator 7

3D Modeling for a Flexible Detector in VR Radiography Simula...

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7th International conference on Information Technologies in engineering Education, Inforino 2024

作者： Kuvshinnikov, Vladimir Kovshov, Evgeny Korchagin, Valery Institute of Construction Technology - Atomstroy Research Laboratory of Digital Computer Systems and Automation JSC 'Research and Development' Moscow Russia Dmitry Mendeleev University of Chemical Technology of Russia Disruptive Engineering School of Chemical Engineering and Machinery Moscow Russia

ISBN: (纸本)9798350371369

Digital simulators based on virtual reality expand the range of educational opportunities and improve the quality of learning in various areas of knowledge through deeper "immersion"in the learning process. Attention to the details of the modeled process plays an important role. One of the tasks of interactive simulators is to provide an opportunity to see the relationship between the user's actions and the obtained qualitative and quantitative parameters and quality attributes of the simulated process result. Considered the issue of curved shape detectors application relevance in the practice of penetrating radiation evaluation in general and in industrial radiography in particular. The prerequisites for the creation of flexible (bendable) form of digital radiographic detectors and the features of two generations of practically implemented devices are analyzed. Development of a flexible detector digital twin is considered, models and algorithms for its realization in a virtual reality environment are proposed, and the main results of computational and laboratory experiments as well as the obtained radiographic images are presented. The main task of virtual reality technologies within the qualified technical specialists training programs is the development of their professional skills and the formation of stable behavior patterns that ensure strict compliance with the rules and requirements of industrial safety, thereby ensuring the high quality of the end product. © 2024 IEEE.

关键词： Virtual reality

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Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks 22

Nalin: Learning from Runtime Behavior to Find Name-Value Inc...

引用

ACM/IEEE 44th International conference on software engineering (ICSE)

作者： Patra, Jibesh Pradel, Michael Univ Stuttgart Stuttgart Germany

ISBN: (纸本)9781450392211

Variable names are important to understand and maintain code. If a variable name and the value stored in the variable do not match, then the program suffers from a name-value inconsistency, which is due to one of two situations that developers may want to fix: Either a correct value is referred to through a misleading name, which negatively affects code understandability and maintainability, or the correct name is bound to a wrong value, which may cause unexpected runtime behavior. Finding name-value inconsistencies is hard because it requires an understanding of the meaning of names and knowledge about the values assigned to a variable at runtime. This paper presents Nalin, a technique to automatically detect name-value inconsistencies. The approach combines a dynamic analysis that tracks assignments of values to names with a neural machine learning model that predicts whether a name and a value fit together. To the best of our knowledge, this is the first work to formulate the problem of finding coding issues as a classification problem over names and runtime values. We apply Nalin to 106,652 real-world Python programs, where meaningful names are particularly important due to the absence of statically declared types. Our results show that the classifier detects name-value inconsistencies with high accuracy, that the warnings reported by Nalin have a precision of 80% and a recall of 76% w.r.t. a ground truth created in a user study, and that our approach complements existing techniques for finding coding issues.

关键词： Neural software analysis identifier names learning-based bug detection

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Select, Extend, and Generate: Generative knowledge Selection for Open-Domain Dialogue Response Generation 28th

Select, Extend, and Generate: Generative Knowledge Selectio...

引用

28th International conference on Database Systems for Advanced Applications, DASFAA 2023

作者： Wu, Sixing Xue, Ping Tao, Ye Li, Ying Wu, Zhonghai National Pilot School of Software Yunnan University Kunming China School of Software and Microelectronics Peking University Beijing China National Research Center of Software Engineering Peking University Beijing China

ISBN: (纸本)9783031306747

Incorporating external commonsense knowledge can enhance machines’ cognition and facilitate informative dialogues. However, current commonsense knowledge-grounded dialogue generation works can only select knowledge from a finite set of candidates retrieved by information retrieval (IR) tools. This paradigm suffers from: 1) The knowledge candidate space is limited because IR tools can only retrieve existing knowledge from the given knowledge base, and the model can only use the retrieved knowledge;2) The knowledge selection procedure lacks enough interpretability to explain the selected result. Moreover, with the increasing popularity of pre-trained language models (PLMs), many knowledge selection methods of non-PLM models have become incapable because of the input/structure restrictions of PLMs. To this end, we propose a simple but elegant SEG-CKRG, and introduce a novel PLM-friendly Generative knowledge Selection (GenSel) to select knowledge via a generative procedure. Besides selecting the knowledge facts from the retrieved candidate set, GenSel can also generate newly extended knowledge. GenSel also improves interpretability because the output of the knowledge selection is a natural language text. Finally, SEG-CKRG uses GPT-2 as the backbone language model. Extensive experiments and analyses on a Chinese dataset have verified the superior performance of SEG-CKRG. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： knowledge based systems

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Pose-to-Human (P2H): A pose guidance framework via Gram matrix for Occluded Person Re-identification 28th

Pose-to-Human (P2H): A pose guidance framework via Gram matr...

引用

28th International conference on knowledge based and Intelligent information and engineering Systems, KES 2024

作者： Trinh, Quoc-Huy Thi, Phuoc-Thao Vo Tran, Minh-Triet Nguyen, Hai-Dang University of Science VNU-HCM Viet Nam Software Engineering Laboratory University of Science VNU-HCM Viet Nam

The person identification task aims to generate robust human representation embeddings. Traditional methods have achieved competitive results, but they face occlusion challenges, making it difficult to distinguish between humans occluded by objects or other humans. This paper proposes Pose-to-Human (P2H), a pose guidance framework via Gram matrix and knowledge transfer mechanism to tackle occlusion problems in Person Re-identification to address this issue. Our framework comprises four modules: Human Encoder, Pose Encoder, Compact Modules (CPM), and the Gram Matrix Guiding (GMG). The Pose Encoder generates pose information used to guide the human embedding models, facilitating learning of other parts of the human anatomy, which enables the model to focus on the unoccluded parts of the body, thus mitigating the reliance on the data for part-to-part matching, which is the first limitation of previous works. Additionally, it can reduce the demand for general appearance information from the human encoder model. Our method achieves competitive results through extensive experiments on five datasets compared to state-of-the-art methods, making it a promising framework for addressing the Re-Identification task. © 2024 The Authors.

关键词： knowledge transfer

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Towards a Digital Z Framework based on a Family of Architectures and a Virtual knowledge Graph 22

Towards a Digital Z Framework Based on a Family of Architect...

引用

ACM/IEEE 25th International conference on Model Driven engineering Languages and Systems (MODELS)

作者： Paredis, Randy Vangheluwe, Hans Univ Antwerp Flanders MAKE Antwerp Belgium

ISBN: (纸本)9781450394673

The purpose of systems engineering is to, often collaboratively and following complex workflows, analyse, design, optimize, operate, and evolve complex, cyber-physical systems. This paper proposes a vision of a general framework for the design, deployment and operation of Digital Z (where Z can be model, shadow, twin, passport, avatar...). Different Digital Zs are used, often in combination, for various purposes during systems engineering. That is why we propose a family of architectures for different Digital Zs. Each Digital Z architecture is constructed based on the engineers' goals. These goals can always be reduced to the observation, satisfaction, or optimization of some Properties of Interest (PoIs). Example PoIs are safety, and average energy consumption. We propose to have one Digital Z architecture per PoI. The different Digital Zs may be combined into an ecosystem. More variability is introduced when we zoom into the deployment of Digital Zs. Common choices for network communication such as DDS and MQTT each have their own strengths and weaknesses which must be taken into account when trying to satisfy non-functional properties such as meeting real-time deadlines. We also introduce the Modelverse, a Virtual (Federated) knowledge Graph (VKG). It is used as a source of knowledge to aid in the construction of "experiments" which answer user's questions about PoIs. These, possibly concurrent, experiments are in essence particular Digital Z ecosystems/architectures. When the experiments provide answers, these are added to the VKG knowledge base in the form (question, experiment architecture, answer). The glue between the above is a template workflow. We sketch the above concepts by means of concrete examples and compare them with existing Digital Z definitions and frameworks such as the "5D model".

关键词： digital twins system engineering system architectures

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From Server-based to Web-based Translation Memory Systems: Benchmarking, Testing and Implementation in STAR7 14

From Server-based to Web-based Translation Memory Systems: B...

引用

14th International conference on knowledge Management and Information Systems, KMIS 2022 as part of 14th International Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2022

作者： Giai, Enrico Poeta, Nicola Turnbull, David STAR7 S.p.A. Language Technologies Expert Corso Orbassano 336 Torino Italy STAR7 S.p.A. Global Content Service Line Leader Corso Orbassano 336 Torino Italy STAR7 S.p.A. Language Lead Corso Orbassano 336 Torino Italy

ISBN: (纸本)9789897586149

In the age of cloud computing and software as a Service (SaaS), the need for web-based translation management solutions is on the rise. Connecting authoring tools and other Content Management Systems (CMSs) to Translation Management Systems (TMSs) is key to reaching a global audience quickly, effortlessly and efficiently. To this end, new web-based TMSs have been developed to automate the entire information lifecycle and allow cooperation among all stakeholders – from authoring to translation, review and publishing. In this paper we describe the features of a web-based TMSs, identify the contexts in which such a system is required and why, and look at their benefits. To do so, we will describe three different processes which use three different technologies based on varying automation and collaboration needs, from a server-based installation of Transit NXT to a web-based solution such as CLM WebEdit. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： software as a service (SaaS)

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Research on Heterogeneity Problem of Federated Learning based on knowledge Distillation-Translate 4

Research on Heterogeneity Problem of Federated Learning Base...

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4th International conference on New Energy and Power engineering, ICNEPE 2024

作者： Liu, Xunjie Wang, Haotian Guo, Binghui Wang, Yutian Gao, Haiwei Beihang University School of Mathematical Sciences Center for Future Blockchain and Privacy Computing Beijing China Beihang University School of Software Beijing China Beihang University Institute of Artificial Intelligence Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing China Beijing Wuzi University School of Economics Beijing China Beijing Jiaotong University School of Mechanical Electronic and Control Engineering Beijing China

ISBN: (纸本)9798331516086

With rising computing power, data-driven AI algorithms have become essential in fields like image processing, with significant applications in electricity inspection image detection. However, competition and privacy concerns prevent data sharing between electricity companies, limiting the development of smart inspection technologies. Federated learning offers a solution, enabling companies to collaboratively train a global model without sharing raw data, thus enhancing model performance and data efficiency. When data distribution is inconsistent (non-IID), traditional federated learning faces challenges that affect training efficiency and accuracy. To address this, we propose FedTSD, a federated learning algorithm designed for electricity inspection tasks. By dynamically exchanging teacher-student roles between the global and local models, FedTSD uses a central server to transfer additional knowledge, boosting generalization and reducing overfitting. Experiments on CIFAR-10 and SVHN datasets show that FedTSD outperforms traditional methods, achieving higher accuracy and smoother training, with faster convergence, which is crucial for efficient electricity inspections. © 2024 IEEE.

关键词： Federated learning

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The development research of student management information system based on Web

The development research of student management information s...

引用

2023 International conference on Educational knowledge and Informatization, EKI 2023

作者： Du, Yong Sichuan University of Culture and Arts Sichuan Mianyang621000 China

ISBN: (纸本)9798350331264

Student management information system (MIS) is emerging in the current educational environment and provides an efficient and reliable solution for school management. Compared with the traditional manual management, this system not only improves the management efficiency, but also reduces the potential error risk. Through in-depth requirements analysis and B/S network architecture, this research successfully designed a fully functional and excellent system, especially in the aspects of student and course management. The wide application prospect of the system provides strong support for schools to better manage student information, curriculum arrangements and grade records, improve management efficiency and reduce the risk of data processing errors. This system represents the modern educational management trend and provides the school with a solid foundation in an ever-changing educational environment. © 2023 IEEE.

关键词： software engineering

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Advancing RE Education: Towards a Mapping Scheme for Benchmarking Students’ Specification Skills

Advancing RE Education: Towards a Mapping Scheme for Benchma...

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2024 Joint International conference on Requirements engineering: Foundation for software Quality Workshops, Doctoral Symposium, Posters and Tools Track, and Education and Training Track, REFSQ-JP 2024

作者： Moravánszky, Anthea Fricker, Samuel A. University of Szeged Doctoral School of Education Hungary University of Applied Sciences of the Grisons Pulvermühlestrasse 57 Chur7000 Switzerland University of Applied Sciences and Arts Northwestern Switzerland Bahnhofstrasse 5 Windisch5210 Switzerland

In Requirements engineering (RE) Education, aligning students' requirements engineering skills with industry demands is one of the primary aims for educators. RE curricula vary between higher education institutes, but how they differ is difficult to describe. This paper proposes a novel mapping scheme to determine students' specification skills and, consequently, their industry readiness. This paper describes and motivates the scheme based on established bodies of knowledge in requirements engineering, syllabi for education and certification, and requirements specification standards. A preliminary validation of the scheme is provided by applying it to results produced by students of two RE courses taught at two universities of applied sciences, with the respective lecturer reviewing the accuracy and precision of its application. This paper describes the scheme and its development, outlines the preliminary validation process, and discusses its potential use for mapping RE education practices. Copyright © 2024 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Requirements engineering

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Anomaly Detection in Spot Welding Machines in the Automotive Industry for Maintenance Prioritization 34

Anomaly Detection in Spot Welding Machines in the Automotive...

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34th International conference on software engineering and knowledge engineering, SEKE 2022

作者： Brandão, Laislla C.P. Martins-Jr, Aldonso Kopte, Gabriel A. Filho, Edson Maciel, Alexandre M.A. Department of Computer Engineering School of Engineering Universidade de Pernambuco Recife Brazil

ISBN: (纸本)1891706543

based on the need of prioritization of maintenance activities in a BOSCH Spot Welding process in the automotive industry, this work aims to develop anomalous equipment selection methodologies for assisting it. The first one is proposed based on data exploration by checking every possible set of alarms of the machines. A second one is created using multiple data clustering models in order to identify machines that behave differently from the others for certain time periods. Bayesian networks were also applied to assist the identification of cause-and-effect relationships between the warning and error logs. The clustering method proved effective in identifying anomalies, which were later inspected on the shop floor. © 2022 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Data mining

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