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Canadian Conference on elec.rical and computer eng.neering (CCECE)

作者： Dariush Ebrahimi Seyedmohammad Kashefi Thiago E. Alves de Oliveira Fadi Alzhouri Dept. of Computer Science Wilfrid Laurier University Waterloo Ontario Canada Dept. of Computer Science Lakehead University Thunder Bay Ontario Canada Dept. of Elec. & Computer Eng Concordia University Montreal Quebec Canada

ISBN: (数字)9798350371628

ISBN: (纸本)9798350371635

The rapid evolution of battery technology has spurred the rise of elec.ric vehicles (EVs). This paper contributes to the discourse on IoT applications in EV transportation systems, focusing on optimizing routing, energy management, and grid integration. Our study tackles the challeng. of determining the most efficient route for autonomous EVs while accounting for battery charging requirements. Diverging from existing approaches, our work goes beyond mere minimization of travel time by incorporating considerations for maximizing battery longevity, thus enhancing overall elec.ric vehicle efficiency. Recognizing the dynamic nature of EV operations, we model the problem as a Markov decision process and propose a reinforcement learning algorithm to address it. Through comprehensive analysis and evaluations across networks of varying scales, ranging from small to large node networks, we demonstrate the effectiveness of our proposed methodology. Moreover, we underscore its superiority in practical scenarios, emphasizing its potential for real-world deployment.

关键词： Heuristic algorithms Decision making Transportation Reinforcement learning Routing elec.ric vehicles Real-time systems

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WIP: Evolution of a Networking Course - Attitude Changes a Decade and a Pandemic Later 54

WIP: Evolution of a Networking Course - Attitude Changes a D...

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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Seeling, Patrick McGarry, Michael P. Central Michigan University Department of Computer Science Mount PleasantMI48823 United States University of Texas at El Paso Dept. of Electrical and Computer Eng. El PasoTX79968 United States

ISBN: (纸本)9798350351507

This work in progress research paper describes the findings of an anonymous survey modeled after the persistence in eng.neering survey instrument that we conducted a decade apart in 2014 and 2024. Significant changes in the mid-2010s to the mid-2020s have altered course delivery and resulting student perceptions, and we find statistically significant differences for program persistence, student self-perceived performance, perceived course value, course enjoyment, self-perceived learning gains, and self-perceived learning material eng.gement efforts. Interestingly, we did not find significant differences between the two groups with respect to self-reported time spent on different course activities or general student population characteristics, such as self-reported credits, GPA, work hours, or commutes. When considering the averaged changes, we note that students in the more recent blended and virtualized environments exhibit a higher level of persistence than their peers. This showcases the overall increase of blended and decentralized/virtualized instruction having a positive impact on student attitudes based on the feedback collected. © 2024 IEEE.

关键词： Students

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WIPP - Smart Authentication: Contextual Strategies for Dynamic User Verification

WIPP - Smart Authentication: Contextual Strategies for Dynam...

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Resilience Week (RWS)

作者： Jonathan Sharp Alexander Williams Baker Womack Arunava Roy Dipankar Dasgupta Csilla Farkas Dept. of Computer Science and Eng. University of South Carolina Dept. of Computer Science University of Memphis

ISBN: (数字)9798350388985

ISBN: (纸本)9798350388992

In this paper, we propose a framework to support continuous and adaptive multi-factor authentication. Our proposed solution is based on leveraging the users’ context to estimate the risk to the remote login and to support passive user authentication. We have developed a theoretical framework that supports dynamic, context-aware and adaptive selec.ion of the authentication factors. Our Context-Aware and Adaptive Multi-Factor Authentication (CAA-MFA) framework increases the security of remote authentication by selec.ing k number of factors for the users’ authentication in a way that the selec.ed factors are 1) unpredictable by the attackers, 2) satisfy security and privacy constraints, and 3) are suitable for dynamically changing environments. Our current work focuses on implementing a proof-of-concept prototype of the proposed framework.

关键词： Privacy Multi-factor authentication Prototypes Security Resilience

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Unsupervised Machine Learning Methods for Diagnosing Autism Spectrum Disorder Using Multimodal Data: A Survey

Unsupervised Machine Learning Methods for Diagnosing Autism ...

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2022 International Conference on Computational science and Computational Intelligence, CSCI 2022

作者： Roy, Antika Rivas, Pablo Tayba, Mahee Noor School of Eng. and Computer Science Baylor University Dept. of Computer Science United States Baylor University Department of Computer Science United States

ISBN: (纸本)9798350320282

The neurodevelopmental disorder known as autism spectrum disorder (ASD) is becoming increasingly pervasive worldwide. It can be categorized when a person struggles to interact and communicate socially and also exhibits repetitious behaviors and interests. Although early intervention is crucial and may have long-term advantages in the lives of people with ASD, diagnosing ASD is difficult due to its heterogeneous characteristics and a large number of data from various aspects such as genetic, behavioral, elec.ronic health records, and many other domains. This review paper offers an in-dept. assessment of papers that use the most commonly used unsupervised machine learning techniques in ASD, such as 'k-means clustering' and 'Hierarchical clustering.' This research aims to identify and highlight the most recent unsupervised machine learning advances in the ASD literature while also attempting to highlight the significant contributions and limits of the selec.ed works to provide insight for future researchers. © 2022 IEEE.

关键词： K-means clustering

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WIP: (Almost) Anywhere Virtual Computing Learning Environment: Student Technology Acceptance 54

WIP: (Almost) Anywhere Virtual Computing Learning Environmen...

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54th IEEE Frontiers in Education Conference, FIE 2024

ISBN: (纸本)9798350351507

This work in progress innovative practice paper details our open source approach, which directly addresses new challeng.s to equitable access and privacy originating from increased technology-driven learning. We provide results from the Technology Acceptance Model's anonymous survey approach for a second-year introductory networking and a fourth-year operating systems course that employed the environment with comparable respondent characteristics. Although perceived ease of use and perceived use are in the middle of possible ranges, we find an interesting reversal for the network course, where student attitudes are low despite high perceptions. Future work will be directed at further refinements of the framework and a more in-dept. evaluation of the privacy concerns that students might have and whether these could be included in the Technology Accentance Model. © 2024 IEEE.

关键词： Virtual environments

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Use of Ball-based Movement for Omnidirectional Collaborative Carry Robot Systems

Use of Ball-based Movement for Omnidirectional Collaborative...

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IEEE International Symposium on Embedded Multicore Socs (MCSoC)

作者： Michael Conrad Meyer Yu Wang Comp. Sci. and Elec. Eng. Dept. Eastern Washington University Spokane WA USA Computer Science Gonzaga University Spokane WA USA

ISBN: (数字)9798331530471

ISBN: (纸本)9798331530488

Robotics as a field has taken off in recent years, with a significant focus on autonomy. An area that has a great contribution to the autonomous aspect of collaborative robots is the actual movement mechanisms they use. When two robots are used to collaboratively carry an object, their movements are critical in order to maintain stable control of the shared object. There are many factors that can affect the usefulness of one drivetrain, but the key factor for successful collaborative carry is the degrees of freedom and how freely we can control them while other degrees are or are not being controlled. After constructing robots with each of the drivetrains, the testing showed that the proposed ball-based system brought several benefits to collaborative carry robots, with drawbacks in complexity.

关键词： Multicore processing Collaborative robots Complexity theory Robots Testing

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GTQCP: Greedy Topology-Aware Quantum Circuit Partitioning

arXiv

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arXiv 2024年

作者： Clark, Joseph Humble, Travis S. Thapliyal, Himanshu Dept. of Elec. Eng. and Computer Science University of Tennessee Knoxville United States Quantum Science Center Oak Ridge National Laboratory Oak Ridge United States

We propose Greedy Topology-Aware Quantum Circuit Partitioning (GTQCP), a novel quantum gate circuit partitioning method which partitions circuits by applying a greedy heuristic to the qubit dependency graph of the circuit. GTQCP is compared against three other gate partitioning methods, two of which (QuickPartitioner and ScanPartitioner) are part of the Berkley Quantum Synthesis Toolkit. GTQCP is shown to have 18% run time improvement ratio over the fastest approach (QuickPartitioner), and a 96% improvement over the highest quality approach (ScanPartitioner). The algorithm also demonstrates nearly identical result quality (number of partitions) compared with ScanPartitioner, and a 38% quality improvement over QuickPartitioner. © 2024, CC BY.

关键词： Quantum computers

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On Combining the Potential of Social Robots and ChatGPT for Enhanced Learning 12

On Combining the Potential of Social Robots and ChatGPT for ...

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12th International Conference on Information and Education Technology, ICIET 2024

作者： Jamil, Nuraini Saghir, Fahed Namir Alshanqiti, Hassan Ali Almansoori, Ali Khalifa Saeed, Abdulrahman Ahmad, Ali Belkacem, Abdelkader Nasreddine College Of It Uae University Dept. Of Computer Science And Software Eng. Al Ain United Arab Emirates Uae University Dept. Of Information Technology College Of It Al Ain United Arab Emirates

ISBN: (纸本)9798350371772

This systematic literature review examines the impact of artificial intelligence (AI), specifically that of social robots and ChatGPT, on education. This study thoroughly assesses the diverse applications of AI in pedagogy. It emphasizes the potential synergy between social robots and ChatGPT and their transformative impact on teaching, learning, and academic outcomes. By comprehensively examining various scholarly publications, this review highlights the significant influence of social robots in facilitating emotional involvement, collaborative learning, and immersive educational situations. Additionally, it clarifies the mechanism by which ChatGPT enables personalized instruction, immediate knowledge sharing, and academic assistance. Furthermore, it highlights the difficulties and ethical complexities of incorporating AI technology in education. This necessitates the development of a careful and deliberate strategy to ensure data privacy, reduce excessive reliance on AI, and maintain the indispensable role of human educators. This review comprehensively analyzes existing research to understand the evolution of AI-driven education. It discusses the significant contributions of social robots and ChatGPT in shaping an educational landscape that prioritizes effective pedagogical methods, fosters inclusive learning environments, and achieves a balance between technological advancements and human interaction © 2024 IEEE.

关键词： Ethical technology

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A Construction of Smart Grid Authentication and Key Agreement System Using ECC Cryptography 4

A Construction of Smart Grid Authentication and Key Agreemen...

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4th IEEE Global Conference for Advancement in Technology, GCAT 2023

作者： Kumar, Enaganti Karun Kumoulica, Allu Padmasini, Annadanam Sreedevi, A.G. Rana, Saurabh Chaudhary, Dharminder Dept. of Computer Science & Eng. Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Bennett University Noida India

ISBN: (纸本)9798350305258

The smart grids consists different components. These components include corrosion resistant paint, gas pipelines, massive high voltage transformers. One of the most vital component of smart grid is smart-meter. Throughout this work, we examined the safety and security of the smart grid (SG) authentication protocols. One significant security challeng. with Smart Grid is the provision of authentication and keys. Our analysis of security has demonstrated that the proposed framework satisfies the security requirements for smart grid applications, and our cost benefit analysis has been demonstrated. We have analysed the performance the protocol, and it is more secure than existing one. © 2023 IEEE.

关键词： Authentication Cryptography Privacy Security Smart Grids

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ADVANCED TUTORIAL ON PARATEMPORAL SIMULATION USING TREE EXPANSION

ADVANCED TUTORIAL ON PARATEMPORAL SIMULATION USING TREE EXPA...

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2024 Winter Simulation Conference, WSC 2024

作者： Zeigler, Bernard Koertje, Christian Zanni, Cole Yoon, Sangwon Dutan, Gerardo Dept. of Electrical and Computer Eng. University of Arizona TucsonAZ United States RTSync Corp ChandlerAZ United States Dept. Physics University of Massachusetts Amherst AmherstMA United States Dept. of System Science and Industrial Eng. SUNY Binghamton University BinghamtonNY United States

ISBN: (纸本)9798331534202

Stochastic simulations require large amounts of time to generate enough trajectories to attain statistical significance and estimate desired performance indices with satisfactory accuracy. They require search spaces with deep uncertainty arising from inadequate or incomplete information about the system and the outcomes of interest. Paratemporal methods efficiently explore these large search spaces and offer an avenue for speedup when executed in parallel. However, combinatorial explosion of branching arising from multiple choice points presents a major hurdle that must be overcome to implement such techniques. In this advanced tutorial we show how to tackle this scalability problem by applying a systems theory-based framework covering both conventional and newly developed paratemporal tree expansion algorithms for speeding up discrete event system stochastic simulations while preserving the desired accuracy. © 2024 IEEE.

关键词： Stochastic models

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