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arXiv 2024年

作者： Froemming-Aldanondo, Beñat Rastoskueva, Tatiana Evans, Michael Machado, Marcial Vadella, Anna Johnson, Rickey Escamilla, Luis Jostes, Milan Butani, Devson Kaddis, Ryan Chung, Chan-Jin Siegel, Josh Dept. of Computer Science & Engineering University of Minnesota Minneapolis United States Dept. of Computer Science The University of Arizona Tucson United States Dept. of Computer Science Old Dominion University Norfolk United States Dept. of Computer Science & Engineering The Ohio State University Columbus United States Dept. of Computer Science SWE Butler University Indianapolis United States Dept. of Computer Science North Carolina A&T State University Greensboro United States Dept. of Computer Science New Mexico State University Las Cruces United States Dept. of Math & Computer Science Lawrence Technological University Southfield United States DeepTech Lab Michigan State University East Lansing United States

Reliable lane-following is essential for automated and assisted driving, yet existing solutions often rely on models that require extensive computational resources, limiting their deployment in compute-constrained vehicles. We evaluate five low-resource lane-following algorithms designed for real-time operation on vehicles with limited computing resources. Performance was assessed through simulation and deployment on real drive-by-wire electric vehicles, with evaluation metrics including reliability, comfort, speed, and adaptability. The top-performing methods used unsupervised learning to detect and separate lane lines with processing time under 10 ms per frame, outperforming compute-intensive and poor generalizing deep learning approaches. These approaches demonstrated robustness across lighting conditions, road textures, and lane geometries. The findings highlight the potential for efficient lane detection approaches to enhance the accessibility and reliability of autonomous vehicle technologies. Reducing computing requirements enables lane keeping to be widely deployed in vehicles as part of lower-level automation, including active safety systems. © 2024, CC BY.

关键词： Unsupervised learning

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Grep: Performance Enhancement in MultiCore Processors using an Adaptive Graph Prefetcher

Grep: Performance Enhancement in MultiCore Processors using ...

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IEEE computer Society Annual Symposium on VLSI

作者： Indranee Kashyap Dipika Deb Nityananda Sarma School of Computer Science and Engineering RV University India Dept. of Computer Science and Engineering Tezpur University India Dept. of Computer Science and Engineering Indian Institute of Technology Guwahati India

Memory latency and off-chip bandwidth have been struggling to keep up with computing performance in modern computer systems. In this regard, prefetching helps in masking the long memory access latency at various cache levels by continuously monitoring an application’s memory access pattern. Upon detecting a pattern, it prefetches cache block ahead of its use. However, complex patterns such as directed or indirected pointer access, linked lists, and so on does not adhere to any specific pattern and hence, makes prefetching impossible. The paper proposes Grep, an adaptive graph based data prefetcher that monitors L1D cache misses and prefetches block in L2 cache. Unlike state-of-the-art prefetchers, Grep does not search for patterns in the miss stream. Rather, it generates a predecessor-successor relationship among the cache misses by constructing an occurrence graph that stores the frequency and sequence of subsequent cache block accesses. Therefore, both regular and irregular patterns in the miss stream can be predicted. Upon an address match in the occurrence graph, Grep prefetches block with a confidence value. Experimentally, it improves prefetch coverage and accuracy by 35.5% and 18.8%, respectively, compared to SPP.

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Masked Ciphertext Comparison without Masking Conversions using Register Rotation and Chinese Remainder Theorem

Masked Ciphertext Comparison without Masking Conversions usi...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Geumtae Kim Eunyoung Seo Yongwoo Lee Jong-Seon No Dept. Electrical and Computer Engineering Seoul National University Seoul Republic of Korea Dept. Electrical Engineering and Computer Science Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu Republic of Korea Dept. Electrical and Computer Engineering Inha University Incheon Republic of Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

In this paper, we propose a novel method for masked comparison using register rotation technique without masking conversions. In key encapsulation mechanisms (KEMs), ciphertext comparison is essential to ensure the security, but it is one of the most computationally expensive operations in masking environment. Previous works on masked ciphertext comparison have mainly focused on masking conversion and its post-processing. However, the proposed method introduces another register-based approach, which eliminates the need for time-consuming masking conversion and solely relies on register rotation using Chinese remainder theorem (CRT).

关键词： Encapsulation Memory management Registers Information and communication technology Cryptography Convergence

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Self-Reported Learning Strategies and Preferences in Health Informatics

Self-Reported Learning Strategies and Preferences in Health ...

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34th Medical Informatics Europe Conference, MIE 2024

作者： Rohani, Narjes Gallagher, Michael Gal, Kobi Banas, Kasia Manataki, Areti Usher institute University of Edinburgh United Kingdom Moray House School of Education and Sport University of Edinburgh United Kingdom School of Informatics University of Edinburgh United Kingdom Dept. of Software and Information Systems Engineering Ben-Gurion University Israel School of Computer Science University of St Andrews United Kingdom

ISBN: (纸本)9781643685335

Despite the proliferation of educational programmes in Health Informatics (HI) worldwide, there is limited knowledge regarding students' preferences and learning strategies in HI courses. To address this gap, we conducted a study to gather and analyse data from three HI courses. Employing the Motivated Strategies for Learning Questionnaire (MSLQ) and theories of deep and surface learning, we designed a questionnaire to collect data. The analysis of students' responses indicates that machine learning emerges as one of the most interesting topics, while certain topics such as data wrangling of genomics data were more challenging for students. Students expressed a preference for sequential learning. They exhibited multimodal tendencies regarding the type of learning resources, with tendency to prefer learning resources that have more visual contents. In all three courses, learners reported using deep learning strategy rather than surface learning, yet they appear to struggle with employing organisation, elaboration, and peer learning tactics. This study provides valuable insights into HI education, offering recommendations for educators, learners, and researchers to enhance HI education. © 2024 The Authors.

关键词： Contrastive Learning

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A Comprehensive Study of Solar Energy Harvesting System in Wireless Sensor Networks 9

A Comprehensive Study of Solar Energy Harvesting System in W...

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9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer engineering, UPCON 2022

作者： Sah, Dipak Kumar Mazumdar, Nabajyoti Pal, Pankaj Amgoth, Tarachand Dept. of Computer Science & Engineering Dhanbad826004 India Indian Institute of Information Technology Dept. of Information Technology Allahabad211015 India

ISBN: (数字)9798350332506

ISBN: (纸本)9798350332506

Wireless Sensor Networks (WSNs) incorporate sensor nodes with minimal power consumption. Sensor devices are in high demand in many areas, including smart cities, environmental monitoring, the Internet of Things (IoT), health monitoring, and the like. As nodes are frequently located in remote places, and an ordinary node battery life is too short, energy depletion is a significant problem for the sensor network. But it's not practical to change or regularly maintain the sensor node's battery. This could cause the network to disconnect. Consequently, a recharging sensor node battery has been identified using energy harvesting (EH). It has several environmental forms, including solar, wind, mechanical, etc. The solar system provides unlimited energy resources to nodes. This paper examines a comprehensive case study of solar harvesting systems and their most recent applications. In solar harvesting nodes, the following primary components are utilised: solar panels, energy storage classes, a DC-DC converter, maximum power point tracking (MPPT), an energy predictor, and a sensing module. Furthermore, we have discussed some recent applications and future work of sensor networks, for example, green street lights, agriculture 4.0, outdoor environment-based monitoring, IIoT, hybrid storage class and new communication technologies. © 2022 IEEE.

关键词： Sensor nodes

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Exploiting Secure Multi-Hop Transmissions with NOMA Networks: Performance Analysis

Exploiting Secure Multi-Hop Transmissions with NOMA Networks...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Yushintia Pramitarini Ridho Hendra Yoga Perdana Kyusung Shim Beongku An Dept. of Software and Communications Engineering Graduate School Hongik University Republic of Korea School of Computer Engineering and Applied Mathematics Hankyong National University Republic of Korea Dept. of Software and Communications Engineering Hongik University Republic of Korea

In this paper, we analyze the secrecy performance of secure multi-hop transmission for the NOMA system. More specifically, the multi-hop transmission can extend the coverage of wireless transmission. However, according to the principle of the wireless medium, an eavesdropper can overhear the legitimate users' transmission, which leads to serious security issues. In order to analyze the relationship between network parameters and secrecy outage probability, we derive exact closed-form expressions for the secrecy outage probability (SOP) of cell center and cell edge users, respectively. The numerical results show that the simulation and analysis results are tightly matched. Additionally, we investigate the impact of the number of hops and the distance on the secrecy performance.

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A Comparative Study between Agile and Waterfall Methodologies during software Development Process

A Comparative Study between Agile and Waterfall Methodologie...

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Information Technology (ACIT)

作者： Hamed Fawareh Yazan Al-Smadi Rania Saadeh Faid AlNoor Fawareh Ali Elrashidi Hazim M. Al-Shdaifat Dept. of Software Engineering Zarqa University Jordan Dept. Of Mathmitical Science Zarqa University Jordan Dept. of Electrical Engineering University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798331540012

ISBN: (纸本)9798331540029

This study aims to investigate and compare the using of waterfall and agile methodologies in the software development process. A survey were collected from 2017 to 2023 to investigate the use of waterfall and agile methodologies in software development. Moreover, the papers were classified based on published year, country, and used software development methods. In addition, the papers were summarized to highlight the state of the art of the most research investigate to comparison of using a waterfall and agile development processes. The research result discover that agile has shown the best results compared to other techniques for big software project furthermore agile requires small team members, also it shows acceptable result on small to medium projects, is more flexible to requirements changes, and software testing can be implemented after each sprint. The research result shows that waterfall methodology for small to medium projects is acceptable for small team.

关键词： software testing Surveys software Information technology software development management

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Instructors' Perspectives on Capstone Courses in Computing Fields: A Mixed-Methods Study 2024

Instructors' Perspectives on Capstone Courses in Computing F...

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29th Working Group Reports on Innovation and Technology in computer science Education, ITiCSE WGR 2024

作者： Hooshangi, Sara Shakil, Asma Dasgupta, Subhasish Davis, Karen C.C. Farghally, Mohammed Fitzpatrick, KellyAnn Gutica, Mirela Hardt, Ryan Riddle, Steve Seyam, Mohammed Department of Computer Science Virginia Tech BlacksburgVA United States School of Computer Science University of Auckland Auckland New Zealand Info Systems and Tech Mgmt Dept George Washington University WashingtonDC United States Computer Science and Software Engineering Dept. Miami University OxfordOH United States School of Computing Instruction Georgia Institute of Technology AtlantaGA United States School of Computing & Academic Studies British Columbia Institute of Technology BurnabyBC Canada Computer & Information Science University of St. Thomas Saint PaulVA United States School of Computing Newcastle University Newcastle upon Tyne United Kingdom

ISBN: (纸本)9798400712081

Team-based capstone courses are integral to many undergraduate and postgraduate degree programs in the computing field. They are designed to help students gain hands-on experience and practice professional skills such as communication, teamwork, and self-reflection as they transition into the real world. Prior research on capstone courses has focused primarily on the experiences of students. The perspectives of instructors who teach capstone courses have not been explored comprehensively. However, an instructor's experience, motivation, and expectancy can have a significant impact on the quality of a capstone course. In this working group, we used a mixed methods approach to understand the experiences of capstone instructors. Issues such as class size, industry partnerships, managing student conflicts, and factors influencing instructor motivation were examined using a quantitative survey and semi-structured interviews with capstone teaching staff from multiple institutions across different continents. Our findings show that there are more similarities than differences across various capstone course structures. Similarities include team size, team formation methodologies, duration of the capstone course, and project sourcing. Differences in capstone courses include class sizes and institutional support. Some instructors felt that capstone courses require more time and effort than regular lecture-based courses. These instructors cited that the additional time and effort is related to class size and liaising with external stakeholders, including industry partners. Some instructors felt that their contributions were not recognized enough by the leadership at their institutions. Others acknowledged institutional support and the value that the capstone brought to their department. Overall, we found that capstone instructors were highly intrinsically motivated and enjoyed teaching the capstone course. Most of them agree that the course contributes to their professional de

关键词： Students

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Automated Traffic Light Control System for Ambulance Using Laser Signals and Raspberry Pi

Automated Traffic Light Control System for Ambulance Using L...

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Artificial Intelligence and Data engineering (AIDE), International Conference on

作者： Arun Kumar S Anand Kumar M Robin Rohit Vincent Anusha M S Uttam Upendra Hegde N Nauman Pasha Dept. of Computer Studies Symbiosis Institute of Computer Studies and Research (SICSR) Pune India Dept. of Information Science and Engineering Networks & IoT Lab Presidency University Bangaluru India Dept. of Computer Science and Engineering Networks & IoT Lab Presidency University Bangaluru India

ISBN: (数字)9798331527518

ISBN: (纸本)9798331527525

Urban traffic congestion poses a major challenge, particularly for emergency services like ambulances, where delays can have life-threatening consequences. This paper proposes a novel, cost-efficient Automated Traffic Light Control System aimed at prioritizing ambulances at busy intersections, thereby reducing delays and ensuring faster response times. The system utilizes Raspberry Pi Zero 2W, Laser Diodes (KY-008), and Light Dependent Resistors (LDRs) to detect ambulances and dynamically control traffic lights. Unlike traditional systems relying on GPS or RFID technologies, this laser-based approach offers greater precision and affordability through the use of modulated laser signals. Experimental results reveal that this system reduces ambulance response times by 35%. The tests were conducted under simulated urban conditions, highlighting the system's capability to outperform conventional solutions. The simplicity of integration and real-time responsiveness underscore its potential for widespread urban adoption.

关键词： Resistors Semiconductor lasers Traffic control Emergency services Road safety Real-time systems Delays Time factors Traffic congestion Radiofrequency identification

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An Overview of Real-Time Electricity Market and Green Energy Trading in India

An Overview of Real-Time Electricity Market and Green Energy...

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2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023

作者： Zacharias, Annu Mary Dikaiakos, Christos Anto, Robins University of London School of Mathematics Computer Science and Engineering City United Kingdom Indian Institute of Technology Dept. of Hydro and Renewable Energy Roorkee India

ISBN: (纸本)9798350331790

To manage the high load fluctuations arising from renewable energy integration, the Ministry of Power Govt. of India has launched real-time trading in the energy market. In this paper, we discuss the real-time market process, regulatory authorities, system balancing, prerequisites of RTM of India, and one of the prominent real-time energy markets in the world. The market process is based on bidding, and Indian market has a zone wised bidding system. In India, the energy is traded in two market platforms named Energy Exchange of India and Power Exchange of India Ltd. The energy market operations are unavoidably connected with the load dispatch centers as the market has to be cleared by considering the transmission corridor availability within the system. The power exchanges of India and the load dispatch centers are monitored and guided by the central electricity regulatory authority and Power Grid which is formerly known as the Power system operation corporation. The real-time power trading is done for 30 minutes, and the auction is open for 15 minutes, followed by market clearing after gate closure. In addition to the real-time market, this paper gives a brief overview of the green energy market window in Indian energy exchanges. © 2023 IEEE.

关键词： Renewable energy resources

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