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The development of a summer study abroad program for engineering and computer science students at Baylor University

The development of a summer study abroad program for enginee...

34th Annual Frontiers in Education: Expanding Educational Opportunities Through Partnerships and Distance Learning - Conference Proceedings, FIE

作者： Fry, Cynthia C. Maastricht Summer Study Abroad Program School of Engineering and Computer Science Baylor University One Bear Place #97356 Waco TX 76798

The Baylor In Maastricht (BIM) Summer Study Abroad program is a 41-day study abroad program in the Netherlands. Baylor In Maastricht is a summer program that is sponsored by the School of Engineering and Science of Baylor University in Waco, Texas, in conjunction with the Universiteit Maastricht, in the Netherlands. The program gives engineering and computer science students an opportunity to take two Baylor courses (six hours), while also providing an abroad experience in the heart of Europe. It also answers the charge given four years ago by the Dean of the School of Engineering and computer Science to get our students out of the building! This paper will discuss the goals and objectives of such a program, and will chronicle the design, development, and execution of the resulting study abroad program. We will explore, in depth, the number and type of participants, the details of trip planning and organization, the decision on which courses to offer, planned weekend group trips, the facilities and support of the Universiteit Maastricht, and accommodations. This paper will also discuss the execution of the first two study abroad programs to Maastricht, the Netherlands - what worked, what didn't work, what was good, where we have improved. A summary of the student evaluations from the program is included. © 2004 IEEE.

关键词： Engineering education

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A study to establish a masters degree program in electronics and computer technology at Bowling Green State University

A study to establish a masters degree program in electronics...

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2008 ASEE Annual Conference and Exposition

作者： Mainoo, Joseph Kolla, Sri Bowling Green State University Indiana State University IN United States Electronics and Computer Technology Program Bowling Green State University OH United States

This paper presents the results of a study conducted to assess the feasibility of establishing a master's degree in Electronics and computer Technology (ECT) program at Bowling Green State University (BGSU), Ohio. Following an informal market analysis for the need of such a degree program, a review of ten technology masters programs in ECT related areas at different universities was conducted to find the curriculum of the existing programs. Survey questionnaires were then administered to three groups of subjects: graduating seniors, alumni, and industrial representatives, after proper human subjects review board (HSRB) approval. A total of 55 subjects responded to the survey. The data analyzed indicated positive response to establish the masters program in ECT at BGSU. On a Likert scale of 1 to 5, the three groups of respondents ranked 4.02/5.0 in favor of establishing a master's degree. For a question on the type of degree, 33.33 percent of the respondents indicated their interest for a Master of Science (MS) degree in ECT while 20.37 percent favored ECT specialization in Master of Industrial Technology (MIT), and 46.30 percent of the respondents did not have preference for the type of degree. The response to the interest in the inclusion of blended instruction of courses that are partially online and partially face-to-face was better (3.85/5.0) than that of complete online courses (3.64/5.0) for the degree program. Response to the inclusion of laboratory activity in the degree program received the highest rating (4.44/5.0). Respondents preferred to have a thesis/major project as a part of the degree rather than taking additional courses, by giving the lowest rating of 3.16/5.0 for additional courses. Respondents' choices of the possible ECT specialization courses were ranked into three categories. A mixture of computer networking and control systems courses were the top choice courses among the 18 possible courses. The paper describes this survey results in detail

关键词： Surveys

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The integration of a traditional cooperative education program and a computer science discipline 78

The integration of a traditional cooperative education progr...

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SIGCSE/CSA Technical Symposium on computer Science Education, SIGCSE 1978

作者： Foutz, Patricia Bartos Johnson, Martha J. Department of Computer Science Virginia Polytechnic Institute State University BlacksburgVA24061 United States Cooperative Education Program Virginia Polytechnic Institute State University BlacksburgVA24061 United States

ISBN: (纸本)9781450374767

The Cooperative Education (CO-OP) program at Virginia Polytechnic Institute and State University (VPI&SU) and its impact in a computer Science (CS ) discipline are described. CO-OP certification and a comparison of the academic performance of the CO-OPing student and the non-CO-OPing student are discussed. In particular, the CS CO-OP students ' attitudes on the program and their acquisition of knowledge outside the traditional classroom environment are presented. Options for earning academic credit in computer science, the growth of CO-OPing in computer science, and the typical job assignments and monetary compensation are also included. © Papers of the SIGCSE/CSA Technical Symposium on computer Science Education, SIGCSE 1978.

关键词： Students

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Phase Unwrapping Algorithm for Distributed Acoustic Sensing Based on Unlimited Sampling and Phase Diversity

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IEEE Sensors Journal 2025年第10期25卷 17102-17109页

作者： Dureck, Eduardo H. Gomes, Danilo F. Weber, Guilherme H. Brusamarello, Beatriz Passarin, Thiago A. R. Martelli, Cicero Pipa, Daniel R. Da Silva, Jean Carlos Cardozo Graduate Program in Electrical and Computer Engineering Federal University of Technology-Parań Curitiba80230-901 Brazil

Distributed Acoustic Sensing (DAS) detects strain on optical fibers over long distances with a typical spatial resolution of a couple of meters and an acquisition rate of up to 100 kHz. DAS is utilized to diagnose events in applications like pipeline monitoring, seismic detection, structural diagnostics, and sea current observation, offering high precision for complex environments. Given the requirements of these applications, the fidelity of the data from DAS is crucial to obtain the greatest accuracy of the monitored event. However, this equipment is subject to signal distortions due to the effects of noise and the sensor’s dynamic range. To mitigate these effects, this paper introduces a new data interpretation methodology based on the unlimited sampling algorithm, which enhances the dynamic range of the sensor during the signal unwrapping process and incorporates phase diversity for noise fading reduction. This work introduces a dataset using the new algorithm compared to the state of the art. The setup follows SEAFOM guidelines using a fiber stretcher to generate signals on the fiber. An improvement of 18.44% in detecting the signal’s fundamental frequency was achieved, and a hyper-parameter mapping was conducted to enable future application in systems where the current standard DAS algorithm fails to resolve signals accurately. © 2001-2012 IEEE.

关键词： Optical fibers

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THE REAL WORLD COMPUTING program - MITIS NEXT computer RESEARCH INITIATIVE

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SCIENCE 1992年第5082期258卷 581-582页

作者： YONEZAWA, A Professor of computer science at University of Tokyo Tokyo 113 Japan and a member of the Evaluation and Promotion Committee for the RWC Program

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Intelligent Tutoring System: A Pedagogical Model Approach Based on Deep Reinforcement Learning

IAENG International Journal of Computer Science

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IAENG International Journal of computer Science 2025年第4期52卷 1196-1212页

作者： Alshaikh, Fatema Hewahi, Nabil Computing and Information Science program University of Bahrain Bahrain Computer science working University of Bahrain Bahrain

The primary goals of research in the fields of Artificial Intelligence (AI) and Machine Learning (ML) are to develop an autonomous agent that can perform tasks or make decisions without human intervention. Deep Reinforcement Learning (DRL) is a machine learning technique employed in Intelligent Tutoring Systems (ITS). Deep reinforcement learning is the integration of Reinforcement Learning (RL) and Deep learning (DL) techniques. In ITS, DRL provides students with individualized learning experiences based on their learning styles and preferences. This work uses a deep reinforcement learning architecture to build a pedagogical model for ITS. We present four different models. The first model is based on the Deep Q-Network (DQN) structure. The second and third models (Double DQN and Dueling DQN) are extensions of the DQN algorithm and have been further developed to address some limitations of the DQN approach. Double DQN solves the problem of overestimation of Q-values, while Dueling DQN improves the representation of the value function. The last proposed model is a hybrid model that combines the standard DQN with a learning classifier system based on Genetic Algorithms (GA). The findings of the study indicate that both Double DQN and Dueling DQN showed complete data efficiency with 100% accuracy, 1.0 F1 score, and 1.0 precision at the highest training level of 1000 episodes and 10 steps, whereas DQN performed fairly but was outperformed by advanced techniques at the same configuration level. The standard DQN achieves a precision of 0.975, an F1 score of 0.987, and an accuracy of 98%. On the other hand, the hybrid approach, which combines GA with DQN, consistently performed worse than the other three individual models in all training setups. © (2025), (International Association of Engineers). All rights reserved.

关键词： Deep reinforcement learning

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A computer program FOR SYNTHESIS OF DECOUPLED MULTIVARIABLE FEEDBACK SYSTEMS

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1969年第6期AC14卷 652-+页

作者： GILBERT, EG PIVNICHNY, JR Computer Information and Control Engineering Program University of Michigan Ann Arbor MI USA IBM Corporation Endicott NY USA

Recently Gilbert [6] obtained general solution results on the decoupling of multivariable systems by state feedback. This paper presents a general-purpose computer program which carries out all of the calculations necessary for reducing these results to a useful synthesis procedure. The program is described in general terms and several examples of its application are given.

关键词： State feedback MIMO Automatic control Military computing Application software Sufficient conditions Distillation equipment Terminology

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Analyzing the Impacts of Dynamic Game Balancing in a Survival Roguelike Chess Game

Analyzing the Impacts of Dynamic Game Balancing in a Surviva...

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2025 International Conference on Advancement in Data Science, E-learning and Information System, ICADEIS 2025

作者： Mario Arifin, Yulyani Bina Nusantara University Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University Binus Graduate Program - Doctor of Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798331513320

This research investigates the novel application of Dynamic Game Balancing (DGB) techniques in the context of a hybrid chess-survival roguelike game, a unique combination of genres not widely explored in previous studies. The study addresses two primary research questions: the identification of suitable DGB techniques for these genres and the enhancement of user experience through DGB. A game prototype was developed using Unity, where players control a chess knight in a turn-based system, facing increasingly challenging enemy pieces. The DGB system dynamically adjusts the game's difficulty based on player performance, utilizing various inputs such as damage received or dealt, health points, powerup usage, and decision speed. Preliminary results from 14 beta-testers show overall positive feedback, with players reporting higher engagement and enjoyment due to the seamless difficulty adjustments, as reflected by the high mean scores from surveys like the User Experience Questionnaire (UEQ). This research fills a gap in the literature by demonstrating the feasibility and benefits of integrating DGB in a chess-survival roguelike setting. These findings highlight the potential for DGB to significantly improve player experience in hybrid game genres, suggesting that its application can create more adaptive and immersive gaming environments in various other genres as well. © 2025 IEEE.

关键词： Game design

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Edge-IoTDistilBERT: Fine-Tuning DistilBERT for Multi-Class Classification of Network Packet Attacks

Edge-IoTDistilBERT: Fine-Tuning DistilBERT for Multi-Class C...

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2025 International Conference on Advancement in Data Science, E-learning and Information System, ICADEIS 2025

作者： Setiawan, Valentino Soewito, Benfano Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331513320

This exponential proliferation of IoT devices is creating an ever-growing demand for efficient cybersecurity solutions in resource-constrained environments. In this study, we propose Edge-IoTDistilBERT, a fine-tuned DistilBERT model, intended for the multi-class classification of network packet attacks within IoT ecosystems. Our proposed model was trained on the Edge-IIoT dataset, representative of all traffic classes and attack variants with high accuracy of up to 99.99%, outperforming state-of-the-art solutions. The new preprocessing pipeline of PCAP to text would transform the network traffic to a textual form allowing the model to learn the pattern in the dataset and making it able to generalize its content. Our fine-tuned model show a robust result on imbalanced dataset with two diffrent splits namely 80-20 and 70-30. The result shown by Edge-IoTDistilBERT place this model as a feasible effective cybersecurity solution for IoT networks, offering a good trade-off between high performance and resource constraints linked to edge devices. © 2025 IEEE.

关键词： Cyber attacks

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Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection 59

Hybrid 1D and 2D CNN-Transformer Architectures for Multilabe...

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59th Annual Conference on Information Sciences and Systems, CISS 2025

作者： Detore, Ian Samsundar, John Davis, Cleon Johns Hopkins University Electrical and Computer Engineering Program BaltimoreMD United States Johns Hopkins University Electrical and Computer Engineering Program LaurelMD United States

ISBN: (纸本)9798331513269

This study introduces two novel hybrid machine-learning architectures for multilabel anomaly detection in electrocardiograms (EKGs): a 1D modified ResNet combined with a transformer encoder and an equivalent 2D ResNet-Transformer hybrid. This work is among the first to utilize two separate CNN-transformer architectures tailored specifically for temporal and spatial features in multilabel EKG data. Our models address the challenges of imbalanced data and multilabel classification by leveraging the PTB-XL dataset, containing over 21,000 annotated samples across five diagnostic superclasses, namely myocardial infarction, conduction disturbances, hypertrophy, ST-T wave changes, and normal EKGs. We applied advanced data augmentation techniques to mitigate class imbalance, including the Multilabel Synthetic Minority Over-Sampling Technique (ML-SMOTE). Additionally, we employed digital signal processing to denoise the EKG signals and convert time-series data into time-frequency representations for 2D modeling. Experimental results demonstrate the effectiveness of our approach, with the 1D model achieving an area under the curve (AUC) of 91.5% and the 2D model achieving an AUC of 87.2%. These findings demonstrate the potential of specialized architectures for comprehensive multilabel EKG anomaly detection. © 2025 IEEE.

关键词： Anomaly detection

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