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What is Peace engineering? 67

What is Peace Engineering?

引用

67th IEEE international Midwest Symposium on Circuits and systems (MWSCAS)

作者： Jordan, Ramiro Martinez-Ramon, Manel Koechner, Donna Agi, Kamil Univ New Mexico ECE Dept Albuquerque NM 87131 USA Univ New Mexico ISTEC Albuquerque NM 87131 USA SensorComm Technol Inc Albuquerque NM USA

ISBN: (纸本)9798350387186;9798350387179

The Ibero-American Science and Technology Education Consortium (ISTEC) created in 1990 is the outcome of an engineering Education research effort led by University of New Mexico Electrical & Computer engineering faculty (UNM-ECE) and funded by Motorola, Inc., to be a catalyst for technological, social, cultural, policy, and socio-economic development. We envisioned STEM as the common language for practical global Peace engineering (PENG) and stress sharing resources (data, technology, services, etc.) through alliances among academia, industry, government agencies and multilateral organizations. ISTEC co-organized the international Federation of engineering Education Societies (IFEES, 2006), the Global engineering Deans Council (GEDC, 2008) and the first Global Peace engineering conference, WEEF-GEDC 2018, hosted by UNM School of engineering. During the 2018 event, a new definition of Peace engineering emerged and the Peace engineering Consortium (PEC) was formed. In addition to global PENG workshops and presentations, PENG tracks are now in every annual ISTEC and WEEF-GEDC event. Partnering with the PEC, UNM-ECE created a PENG Minor in 2020 covering topics that include ethics, sustainability, society, JEDAI, design thinking, analytics and AI. We encourage cross-disciplinary collaboration to break academic silos and apply this knowledge to real world situations.

关键词： peace engineering peace technology verifiable trusted data context

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Prediction of cure-induced deformation of carbon fiber reinforced polymer composites based on transfer learning 3

Prediction of cure-induced deformation of carbon fiber reinf...

引用

3rd international conference on Advanced manufacturing Technology and manufacturing systems, ICAMTMS 2024

作者： Chen, Haojing Liu, Xu Meng, Qinglu School of Mechanical and Power Engineering Nanjing Tech University Nanjing211800 China College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9781510681804

The cure-induced deformation (CID) significantly influences the final quality of carbon fiber reinforced polymer (CFRP) composites. It is essential to ensure the deformation within specification by cure optimisation, of which the key is to construct the efficient predictive model between the cure cycle and CID. Conventional numerical methods require well-meshed grids and fine-grained time steps, resulting in an expensive computational cost. Furthermore, data-driven methods have shown great potential in building surrogate models to accelerate the massive forward evaluations. However, their remarkable performance depends on massive labelled data. Therefore, this paper proposes to anticipate the cure-induced deformation of carbon fiber reinforced polymer composites based on transfer learning to reduce the data requirement of data-driven methods. First, sufficient simulation data are gathered as the source domain and are utilized for training the source model. Then, a parameter-based transfer learning method is introduced to obtain the final target model by finetuning the source model utilizing a limited amount of target labelled data. Finally, the validation numerical experiment is conducted on a case of CFRP aircraft skin. The results show that the proposed method based on transfer learning can significantly reduce the amount of target labelled data by 90% compared to the original data-driven method. © 2024 SPIE.

关键词： Carbon fiber reinforced plastics

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Exploring Centralized, Decentralized, and Hybrid Approaches to Micro-Credential Issuance in HEI Alliances 16

Exploring Centralized, Decentralized, and Hybrid Approaches ...

引用

16th international conference on knowledge Management and Information systems, KMIS 2024 as part of 16th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2024

作者： Kiiskilä, Padmasheela Pirkkalainen, Henri Tampere University Tampere Finland

ISBN: (纸本)9789897587160

Micro-Credentials (MCs) are seen as a way by Higher Education Institutions (HEIs) to equip learners with the essential skills for their careers or professional development. In Europe, HEIs are joining forces to form alliances to offer a broad range of MCs and make them tamper-proof, verifiable, and shareable. Although extensive research is being done on MCs, there is a major research gap in identifying and comparing different ways alliances can manage issuance of MCs. We identified two approaches in practice and through a case study, identified a third approach alliances can utilize. This paper also addresses this gap by using the data governance contingency model to provide a comparison of all three approaches that alliances can utilize in selecting the most suitable one for their business strategy. To achieve this, a qualitative case study is conducted with in-depth interviews with administrators from HEIs that are partners of an alliance. This study contributes to the governance of MCs through identification and comparison of the three approaches - centralized, decentralized, and hybrid in the context of MC issuance by HEI alliances. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： data Governance Digital Credentials knowledge Management MC Governance Micro-Credentials

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A Two-Stage Map-matching Method for Sparse Trajectories with Small-scale Ground Truth data 36

A Two-Stage Map-matching Method for Sparse Trajectories with...

引用

36th international conference on Software engineering and knowledge engineering, SEKE 2024

作者： Si, Junjun Xiang, Yang Li, Li Tu, Bo School of Computer and Cyber Sciences Communication University of China Beijing China Big Data Technology Co. Ltd. Beijing China School of Information Management Beijing Information Science & Technology University Beijing China

ISBN: (纸本)1891706594

Trajectory data often suffer from sparsity and a lack of ground truth data, presenting challenges for map-matching. Traditional map-matching approaches struggle with sparse data, and deep learning methods are hindered by data scarcity. To address these issues, we propose a two-stage map-matching method. In the first stage, we use synthetic trajectory data to pre-train a deep learning model, overcoming data scarcity. We introduce a token mixing scheme during pre-training to clarify the interrelations between GPS-based and segment-based trajectory data. In the second stage, we fine-tune the model with limited ground truth data using a Transformer architecture. Empirical evaluations show that our model achieves 3.69%, 2.21% average precision and recall improvements over the best baseline model with various sparseness. © 2024 knowledge systems Institute Graduate School. All rights reserved.

关键词： MapReduce

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Design and Implementation of the Integrated Program for the Master of engineering Course in Welding engineering Technology, KMUTNB Harmonize to international Welding Engineer, IIW Responding to the Need of Thailand 4.0/IR 4.0 26th

Design and Implementation of the Integrated Program for the ...

引用

26th international conference on Interactive Collaborative Learning (ICL) - Towards a Hybrid, Flexible and Socially Engaged Higher Education / 52nd IGIP international conference on engineering Pedagogy

作者： Sethakul, Panarit Phattanasak, Matheepot Koehler, Thomas Lekapat, Sukanjana Ode-sri, Adisorn Teekasap, Anwida Jitngamkam, Kanokwan Welding Inst Thailand Bangkok Thailand King Mongkuts Univ Technol North Bangkok Fac Tech Educ Bangkok 10800 Thailand Tech Univ Dresden D-01069 Dresden Germany Rajamangala Univ Technol Lanna Chiang Mai 50300 Thailand

ISBN: (纸本)9783031530210;9783031530227

The aim of this research was 1) to design the integrated program for the Master of engineering course in Welding engineering technology at CIT, KMUTNB, and 2) the designed program shall harmonize with the international welding engineer of WIT, IIW. The research procedure was divided into 3 stages. The 1(st) stage was to design and develop an integrated program to harmonize the international Institute of Welding (IIW) requirements and the Graduate College. The 2(nd) stage was to proceed with a quality teaching and learning process by following the related procedures of CIT and the Graduate College. The 3(rd) stage was to evaluate the developed model by examinations. The comparative analysis of compatibility is applied in the 1st stage for curriculum integration of the subject-based course (MWET) harmonized with the module-based course (IWE) in terms of topics, course contents and teaching hours. The samples focused on 11 students who graduated with a Master of engineering in welding engineering technology and were granted IWE diploma. The data collection tool was the evaluation form with questionnaires and a 5-level rating scale for the usefulness and appropriateness of the integrated program. The results showed that after students obtained the Master of engineering Degree and IWE Diploma, the knowledge gained in all four modules was at a relatively high level ((X) over bar = 4.30), and the knowledge that could be applied to work was at a high level ((X) over bar = 3.94) and (2) this integration program is best suited for industries (72.7%) such as welding engineers and welding coordinators that are required by Thailand 4.0.

关键词： Integrated Program Curriculum development international Welding Engineer Thailand 4.0/IR 4.0

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LBKT: A LSTM BERT-Based knowledge Tracing Model for Long-Sequence data 20th

LBKT: A LSTM BERT-Based Knowledge Tracing Model for Long-Seq...

引用

20th international conference on Intelligent Tutoring systems (ITS)

作者： Li, Zhaoxing Yang, Jujie Wang, Jindi Shi, Lei Feng, Jiayi Stein, Sebastian Univ Southampton Sch Elect & Comp Sci Southampton Hants England Univ Durham Dept Comp Sci Durham England Newcastle Univ Open Lab Sch Comp Newcastle Upon Tyne Tyne & Wear England Beijing Jiaotong Univ Beijing Peoples R China

ISBN: (纸本)9783031630309;9783031630316

The field of knowledge Tracing (KT) aims to understand how students learn and master knowledge over time by analyzing their historical behaviour data. To achieve this goal, many researchers have proposed KT models that use data from Intelligent Tutoring systems (ITS) to predict students' subsequent actions. However, with the development of ITS, large-scale datasets containing long-sequence data began to emerge. Recent deep learning based KT models face obstacles such as low efficiency, low accuracy, and low interpretability when dealing with large-scale datasets containing long-sequence data. To address these issues and promote the sustainable development of ITS, we propose a LSTM BERT-based knowledge Tracing model for long sequence data processing, namely LBKT, which uses a BERT-based architecture with a Rasch model-based embeddings block to deal with different difficulty levels information and an LSTM block to process the sequential characteristic in students' actions. LBKT achieves the best performance on most benchmark datasets on the metrics of ACC and AUC.

关键词： knowledge Tracing BERT Student Modelling Long-Sequence data Processing Intelligent Tutoring systems

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Optimization design of adjustable seat in narrow vessel control station based on ergonomics 3

Optimization design of adjustable seat in narrow vessel cont...

引用

3rd international conference on Advanced manufacturing Technology and manufacturing systems, ICAMTMS 2024

作者： Liu, Aijia Mao, Yunsheng Wuhan University of Technology School of Naval Architecture Ocean and Energy Power Engineering Hubei Wuhan430063 China

ISBN: (纸本)9781510681804

In the context of the absence of specific standardized procedures for designing narrow vessel control station seats, this study aims to enhance both personnel comfort and operational efficiency within the control station. This research optimizes the design of narrow vessel control station seats based on the following systematic methodology. Initially, a simplified human body model is employed, followed by forward kinematic modeling to obtain and analyze the comfortable range of joint motion data. Subsequently, fundamental parameters and adjustment ranges of the seat are determined based on the analyzed data. Lastly, utilizing the DELMIA anthropomorphic analysis module, a human-body simulation analysis is conducted on the designed chair. Based on the simulation results, further optimization focused on the armrest range of the chair can be conducted. The results demonstrate the efficacy of the proposed methodology in achieving ergonomic optimization in narrow vessel control station seat design. © 2024 SPIE.

关键词： Ergonomics

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GeoExpert: Geometry Problem Solving Based on RoBERTa and Graph Attention Networks 36

GeoExpert: Geometry Problem Solving Based on RoBERTa and Gra...

引用

36th international conference on Software engineering and knowledge engineering, SEKE 2024

作者： Peng, Xiao Zhang, Xuefeng Zhao, Hanyu Chen, Liangyu School of Software Engineering East China Normal University China

ISBN: (纸本)1891706594

Geometry problem solving always attracts much attention of research and engineering. Solving geometry problems requires the capacity of parsing multi-modal information and utilizing theorem knowledge for comprehensive reasoning. The lack of high-quality datasets and interpretable symbolic reasoning is a great challenge in automated geometry problem solving. Based on Inter-GPS, we reannotate all wrong annotations in Geometry3K dataset to form a new dataset Geometry3K+ with a higher quality. We further perform a data augmentation method to expand the dataset scale to 7, 200. We propose GeoExpert, an automated geometry problem solving framework, which employs RoBERTa and Graph Attention Networks to recommend theorems. The experimental results demonstrate the effectiveness of Geometry3K+ and GeoExpert, and the accuracy is improved to 92.9%. © 2024 knowledge systems Institute Graduate School. All rights reserved.

关键词： knowledge graph

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Construction of an Industrial Product Maintenance knowledge Base Based on Crowdsensing and knowledge Graph 8

Construction of an Industrial Product Maintenance Knowledge ...

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8th international conference on Electrical, Mechanical and Computer engineering, ICEMCE 2024

作者： Zhang, Geng Zhang, Xiang Zhang, Cheng Pang, Yifan Shenzhen Research Institute of Northwestern Polytechnical University Sanhang Science and Technology Building No. 45th Gaoxin South 9th Road Nanshan District Guangdong Shenzhen City China Northwestern Polytechnical University Key Laboratory of Industrial Engineering and Intelligent Manufacturing School of Mechanical Engineering Shaanxi Xi'an China

ISBN: (纸本)9798331506230

With the rapid development of intelligentization and servitization in the manufacturing industry, higher demands are being placed on the maintenance of industrial products. As an information medium, knowledge graphs can efficiently organize and manage knowledge. Currently, data in industrial product maintenance knowledge bases typically come from official manuals, which do not consider users' real industrial product usage experience. However, user experience encompasses foundational knowledge of industrial product maintenance, which is more specific and flexible. To address this gap, this paper proposes the combined use of crowdsensing and knowledge graphs for constructing an industrial product maintenance knowledge base. First, the basic framework of this method is presented. Next, an ontology model for industrial product maintenance is created, and the industrial product manual is instantiated to form the basic knowledge graph for industrial product maintenance. Then, a user experience reliability evaluation method is proposed, and user experiences are filtered by combining them with the basic industrial product maintenance knowledge graph. Finally, the filtered user experiences are added to the industrial product maintenance knowledge graph. The effectiveness of this process is illustrated through an example. © 2024 IEEE.

关键词： knowledge graph

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Industry 4.0 Implementation in Sri Lankan manufacturing Firms: A Lean Perspective

Industry 4.0 Implementation in Sri Lankan Manufacturing Firm...

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2023 international Research conference on Smart Computing and systems engineering, SCSE 2023

作者： Bandara, Lahiru Withanaarachchi, Amila Peter, Suren University of Kelaniya Department of Industrial Management Dalugama Sri Lanka Sri Lanka Institute of Information Technology Business School Malabe Sri Lanka

ISBN: (纸本)9798350341454

manufacturing industries require the highest quality and efficiency throughout their value chain, to compete with countries having a labor cost advantage. Today, manufacturing firms are in a fast-phased run to automate their processes and increase value chain integration through advanced technologies. Industry 4.0 has gained traction within this community, where its components like IoT, Big data, and Cloud computing are being used by manufacturing firms to optimize and increase the efficiency of their workplaces. Obtaining the proper outcomes from these advanced technologies has been an issue for most of its users. Very few studies were found in the literature, that propose ways to mitigate the issues faced by these companies in their Industry 4.0 journey. Lean concepts are a popular and proven methodology used by firms worldwide to decrease the complexity and increase the productivity of their processes. Based on a systematic literature review, the study identifies the current knowledge on mitigating the barriers faced by manufacturing firms in Industry 4.0 implementations. To address the knowledge gap identified in the literature review, the study proposes and statistically tests a framework, on how the manufacturing environment can be improved to obtain the expected outcomes of Industry 4.0 implementations, through a lean theoretical lens. Thus, the stakeholders of the company can contribute towards successful implementations of Industry 4.0 while organizational processes are being standardized and optimized to integrate these advanced technological shifts. © 2023 IEEE.

关键词： Efficiency

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