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13th International conference on Natural Language processing and Chinese Computing

作者： Lai, Yuxuan Wu, Yupeng Wang, Yidan Hu, Wenpeng Zheng, Chen Open Univ China Beijing Peoples R China Minist Educ Engn Res Ctr Integrat & Applicat Digital Learning Beijing Peoples R China FloatMiracle Beijing Peoples R China PLA Acad Mil Sci Beijing Peoples R China

ISBN: (纸本)9789819794423;9789819794430

Automatically generating scientific literature surveys is a valuable task that can significantly enhance research efficiency. However, the diverse and complex nature of information within a literature survey poses substantial challenges for generative models. In this paper, we design a series of prompts to systematically leverage large language models (LLMs), enabling the creation of comprehensive literature surveys through a step-by-step approach. Specifically, we design prompts to guide LLMs to sequentially generate the title, abstract, hierarchical headings, and the main content of the literature survey. We argue that this design enables the generation of the headings from a high-level perspective. During the content generation process, this design effectively harnesses relevant information while minimizing costs by restricting the length of both input and output content in LLM queries. Our implementation with Qwen-long achieved third place in the NLPCC 2024 Scientific Literature Survey Generation evaluation task, with an overall score only 0.03% lower than the second-place team. Additionally, our soft heading recall is 95.84%, the second best among the submissions. Thanks to the efficient prompt design and the low cost of the Qwen-long API, our method reduces the expense for generating each literature survey to 0.1 RMB, enhancing the practical value of our method.

关键词： Automatic literature survey Large language model Prompt design

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Automation design and Application of Electrical Control Systems in Industrial Production 6

Automation Design and Application of Electrical Control Syst...

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6th IEEE International conference on Power, Intelligent Computing and Systems, ICPICS 2024

作者： Yu, Wenduo Guo, Zongjin Suo, Pengxiang Sang, Maolin Pan, Huiyang Song, Ziyi State Grid Yingkou Power Supply Company Yingkou China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374315

This research aims to explore the automation design principles, technical architecture and application process of electrical control systems in industrial production. This paper evaluates the impact of automation design on production efficiency and safety through detailed analysis of system planning and demand analysis, integration and programming, debugging and trial operation, and maintenance and optimization. The results show that system optimization significantly improves the average utilization rate and output of the production line, and reduces the incidence of equipment failures and accidents. It is concluded that the automated design and application of electrical control systems can effectively improve production efficiency and safety, and provide reliable technical support for efficient operation and resource optimization of industrial production. © 2024 IEEE.

关键词： Electrical efficiency

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PM4Pottery: A Scriptable Parametric Modeling Interface for Conceptual Pottery design Using PM4VR 10

PM4Pottery: A Scriptable Parametric Modeling Interface for C...

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10th International conference on Automation, Robotics, and Applications, ICARA 2024

作者： Li, Wanwan University of Tulsa TulsaOK United States

ISBN: (纸本)9798350394245

Pottery design has traditionally been a manual and intricate process, often constrained by physical limitations. This paper introduces PM4Pottery, a groundbreaking scriptable parametric modeling interface specifically designed for conceptual pottery design through the utilization of PM4VR (Parametric Modeling for Virtual Reality). PM4Pottery seeks to revolutionize this field by offering a dynamic platform where designers can script and manipulate parameters to generate 3D conceptual pottery models in real time. The integration of PM4VR further enhances the pottery design pipeline, allowing designers' immersive parameter tuning experience in a virtual environment using Oculus Quest 2 VR headset and Steam VR plugin. © 2024 IEEE.

关键词： Virtual reality

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design Co-processor Based on Partially Homomorphic Encryption Execution Using Open-Source Tool 32

Design Co-Processor Based on Partially Homomorphic Encryptio...

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32nd IFIP/IEEE International conference on Very Large Scale integration, VLSI-SoC 2024

作者： Bilal, Mujahid Bhatti, M. Kamran Minhas, Muhammad Kahsif Waris, Haroon Semiconductor Chip Design Fabrication Center National Institute of Electronics Islamabad Pakistan Center of Excellence in Science and Applied Technologies Islamabad Pakistan

ISBN: (纸本)9798331539672

Exploiting a weakness in OpenSSL's TLS protocol implementation, the Heartbleed vulnerability was found in April 2014 and exposed sensitive data. This study describes a co-processor architecture that reduces the danger of data leaking by applying partly homomorphic encryption. Using secure multiplexers and non-traditional arithmetic units as challenges, our fully functioning device is created in 130nm CMOS technology. through UART, it exchanges data with the primary CPU. This paper describes an ASIC development process utilizing open-source methodologies, from RTL design to GDS-II. © 2024 IEEE.

关键词： Coprocessor

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Optimal Channel design for Die-to-Die Interface in Multi-die integration Applications 73

Optimal Channel Design for Die-to-Die Interface in Multi-die...

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IEEE 73rd Electronic Components and Technology conference (ECTC)

作者： Park, Jiyoung Nam, Seungki Moon, Sungwook Kim, Jinho Samsung Elect Co Ltd Foundry Business 1-1 Samsungjeonja Ro Hwaseong Si 18448 Gyeonggi Do South Korea

ISBN: (纸本)9798350334982

To support technical trend of multi-die integration in HPC platform, various die-to-die interface IPs have been introduced for seamless connection between dies with the wide bandwidth. In addition to the conventional channel routed in single medium of Si-interposer or organic substrate, D2D interface through the channel where multiple media are used may also be required depending on the system requirements. This study focuses on analyzing and comparing the bandwidth of D2D interface in various channel configurations including the traditional solutions with a single medium. The entire channel structure consists of a multi-stage channel that connects two interposers with a SOC die and multiple HBM dies in an organic substrate, or two small ABF packages in a large-size, low-cost HDI substrate. In the entire D2D channel with multiple media, impedance mismatching and coupling may occur additionally at the joint balls and the performance degradation of high-speed signal is inevitable, but the performance can be improved through design optimization process. The channel performance with 9 type configurations was assessed and the allowable signaling speed was estimated by the target criteria of eye opening. By each channel configuration, it was suggested which design characteristics are dominant to the signal performance and how the performance can be improved. In conclusion, by comparing and analyzing the signal performance depending on complex design parameters in various channel conditions, we suggested the optimal D2D design solution for multi-die integration, considering target bandwidth and package cost. This approach is expected to be useful to comprehend the performance of multi-stage channel consisting of multiple joint junctions with uneven characteristic impedance.

关键词： High speed interface Die to die interface Signal Integrity HPC Package Channel

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Assessing Teachers' Perspective on a Multi-Campus Course design Tool 15

Assessing Teachers' Perspective on a Multi-Campus Course Des...

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15th IEEE Global Engineering Education conference (IEEE EDUCON)

作者： Bahmani, Abdullah Hjelsvold, Rune Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway

ISBN: (纸本)9798350394023;9798350394030

In the contemporary era of digital transformation, the prevalence of multi-campus universities is escalating. This progression necessitates standardized yet adaptable course designs suitable for deployment across diverse campuses. The overarching challenge encompasses the formulation of courses with uniform objectives and quality, while simultaneously respecting the distinct attributes and limitations of each campus. The Norwegian University of Science and Technology (NTNU), after its merger with three state colleges, confronted with these complexities, leading to the inception of a wide array of courses spread across multiple campuses. To address this multifaceted scenario, our research introduced a gamified tool designed to simplify the multi-campus course design process. This tool, built on principles of cohesion, alignment, and adaptability, ensures the catering of unique campus-specific requirements. We gauged the tool's effectiveness through workshops with educators, which highlighted its capacity to instill structured course design methodologies, strengthen collaboration, and elevate awareness among educators about multi-campus nuances. Notable feedback from educators emphasized the potential advantages of digitizing this tool. A digital adaptation would not only enhance integration with existing learning management systems but also offer the versatility of synchronous and asynchronous collaborative course design, eliminating geographical constraints. This research, therefore, provides an innovative, gamified solution adept for universities worldwide, aiming to surmount similar multi-campus design challenges.

关键词： Multi-campus courses Gamification Learning Activity design Community Collaboration

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Generative Modeling of the Shape Transformation Capability of Machining processes

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MANUFACTURING LETTERS 2022年 33卷 794-801页

作者： Yan, Xiaoliang Melkote, Shreyes Georgia Inst Technol George W Woodruff Sch Mech Engn Atlanta GA 30332 USA

The shape, material property, and part quality transformation capabilities of a manufacturing process are essential process capability knowledge that are traditionally acquired by process planners through experience. While efforts have been made over the years to develop automated systems that utilize known process capabilities for process selection and manufacturability assessment of part designs, such systems are hampered by the lack of a systematic approach to capture and model the shape, material property, and part quality transformation capabilities from design and manufacturing data. In this paper, the shape transformation capabilities of representative machining operations are modeled using 3D Variational Autoencoders and Generative Adversarial Networks (3D-VAE-GANs.) The proposed approach models the shape transformation capability as a latent probability distribution from which visualizations of realistic machinable features can be sampled for shape decomposition and reconstruction, thereby assisting machining process selection by a process planner and manufacturability assessment of part shapes generated by a designer. (C) 2022 Society of Manufacturing Engineers (SME). Published by Elsevier Ltd. All rights reserved. Peer-review under responsibility of the Scientific Committee of the NAMRI/SME.

关键词： Generative Machine Learning Machining process Capability Computer Aided process Planning Machining Feature Recognition

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Recognition of De Novo Drug design for Targeted Chemical Libraries through Optimization Techniques 5

Recognition of De Novo Drug Design for Targeted Chemical Lib...

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5th International conference on Smart Electronics and Communication, ICOSEC 2024

作者： Balamurugan, K.S. Navaneethakrishnan, Sundara Rajulu Srinivasulu, Senduru Kumutha, D. Surendran, R. Karpaga Vinayaga College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Chengalpattu India Dhanalakshmi Srinivasan University Department of Computer Science and Engineering Samayapuram Campus Tiruchirappalli Trichy India Sathyabama Institute of science and Technology School of Computing Department of Computer Science and Engineering Chennai600119 India Jeppiaar Institute of Technology Department of Electronics and Communication Engg. Tamilnadu Sriperumbudur India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai602105 India

ISBN: (纸本)9798331504403

The process of De Novo drug design involves the integration of artificial intelligence with computational intelligence techniques. The proposed system aims to provide precision therapeutics through the development of targeted chemical libraries designed for individual patient's needs. They also highlight the potential impact of precision medicine. The traditional approach involves trial and error methods in the combination of various chemicals for desired drug discovery that leads to the waste of time and energy. These challenges are overcome through the aid of artificial intelligence techniques. The interaction of molecules, physiochemical properties, and biological interaction of potential drugs are obtained through the aid of optimization algorithms. With the integration of computational intelligence, the design structure becomes more adaptable. This helps in the formation of chemically diverse compound libraries. The important aspect of the proposed system involves the ability of advanced precision therapeutics. The clinical information is necessary for the identification of molecular targets achieved through the aid of optimization algorithms. These obtained targets are necessary for the development of new drugs with high affinity and specificity. This helps in minimizing the off-target effects which improves the therapeutic efficacy. The novel molecular structure is generated using the Generative Adversarial Networks (GAN). The compound properties are optimized using reinforcement and an iterative learning process. The simpler structure of drug-like molecules is obtained through an evolutionary algorithm. Thus the proposed system provides rapid exploration of chemical space that leads to the formation of chemical compounds with personalized pharmacological profiles. © 2024 IEEE.

关键词： Drug discovery

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Software design Decisions for Greener Machine Learning-based Systems 24

Software Design Decisions for Greener Machine Learning-based...

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IEEE/ACM 3rd International conference on AI Engineering - Software Engineering for AI (CAIN)

作者： del Rey, Santiago Univ Politecn Cataluna Barcelona Spain

ISBN: (纸本)9798400705915

The widespread integration of Machine Learning (ML) in software systems has brought forth unprecedented advancements, yet the surge in energy consumption raises ecological concerns. This research addresses the environmental impact of ML development, focusing on the energy implications of design decisions in ML-based systems. This thesis aims to offer insights into the energy consumption patterns influenced by deployment architecture and training environment. Different case studies on ML-based systems will be conducted to validate and demonstrate the implications of these design choices. The expected outcomes encompass actionable insights, validated through rigorous evaluations, and the development of an energy prediction tool for ML-based system development, to help in the decision-making process. This work contributes to the broader field of Green AI by addressing a critical gap and guiding the transition towards a more sustainable AI landscape.

关键词： Green AI energy efficiency software engineering sustainable computing

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Balancing Act: Leveraging 'PARAMETERS' Serious Game as a Tool for Mastering Game design in Higher Education

Balancing Act: Leveraging 'PARAMETERS' Serious Game as a Too...

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Gaming, Entertainment and Media conference (GEM)

作者： Loebel, Jens-Martin Koubek, Jochen Magdeburg Stendal Univ Appl Sci Dept Econ Magdeburg Germany Univ Bayreuth Dept Media Studies Bayreuth Germany

ISBN: (纸本)9798350374537;9798350374544

This paper introduces "PARAMETERS", a serious game implementation, as a novel pedagogical tool for enhancing game design and balancing education within higher education settings, specifically in game development courses. Recognizing the complexity and educational value of game balancing-a process crucial for ensuring fairness, engagement, and replayability in games-this research aims to bridge the gap between theoretical knowledge and practical application in academic curricula. By integrating PARAMETERS into a game design curriculum, we examine its effectiveness in facilitating active learning and mastery of game design principles among students. Our methodology leverages PARAMETERS' simplified RPG mechanics, focusing on numerical interactions and stat management, to allow students hands-on experience with core game development tasks without the distractions of complex graphics or narratives. The outcomes of this integration, evaluated through a detailed case study, indicate a significant enhancement in students' comprehension of game balancing concepts and their application in real-world scenarios. Our study contributes to the discourse on game-based learning in technical education by demonstrating the pedagogical benefits of using serious games like PARAMETERS. It offers insights into effective strategies for embedding practical game design exercises into higher education, underscoring the potential of serious games to complement and enrich traditional learning approaches in this field of game development.

关键词： game balancing game design serious games

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