Computer Engineering Department Research Articles

A Study on Bellman Ford Algorithm for Shortest Path Detection in Global Positioning System

Abstract: This is the Master of Technology project report of Mr. Avinish Rai (Roll No- MT/CS/45001/20), final year student in the department of Computer Science and Engineering, Birla Institute of Technology, under the supervision and guidance of Dr Ila Sahay Dayal. The thesis deals with Bellman ford algorithms is used to find the optimal shortest path between two or more than two nodes in the graph or in the tree. In this paper we add this bellman ford functionality in the G.P.S. this algorithm will work as the parameter in this and use from the initial node to target or source node. We will do the comparative and mathematical studies between both Dijkstra’s and Bellman ford algorithm which will give optimal results.

Students' Opinions about the Educational Use of the Metaverse

This study aims to determine students' opinions about the educational use of the Metaverse. The study was conducted during the spring semester of the 2021-2022 academic year. The sample of the study consists of 34 second-year students at the Department of Computer Engineering of a state university in the Southeast Anatolia region of Turkey. The students participated in and evaluated the Metaverse. After the application, interviews were conducted with the participants to find out the students' opinions about Metaverse. In this study, a mixed-method in which both qualitative and quantitative research methods were considered together was used. As a result of the study, it was found that the majority of students had never used Metaverse before, but wanted to use the Metaverse environment in the classroom. Students indicated that Metaverse can be used in many fields and disciplines. However, they were hesitant to use Metaverse in all faculty courses. Students believe that the Metaverse can enhance their knowledge of the subject. In addition, students consider that Metaverse can make the course content more enjoyable and increase their motivation for the course. They also believe that Metaverse has pedagogical advantages and will be used in the classroom in the near future. As for the disadvantages, they mentioned that Metaverse makes learning difficult and distracted, students disconnected from real life, and violates class discipline.

Reply by Authors.

No AccessJournal of UrologyNew Technology and Techniques1 May 2022Reply by Authorsis a reply to letterEditorial Comment N. Heller, R. Tejpaul, F. Isensee, T. Benidir, M. Hofmann, P. Blake, Z. Rengal, K. Moore, N. Sathianathen, A. Kalapara, J. Rosenberg, S. Peterson, E. Walczak, A. Kutikov, R. G. Uzzo, D. A. Palacios, E. M. Remer, S. C. Campbell, N. Papanikolopoulos, and Christopher J. Weight N. HellerN. Heller Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota More articles by this author , R. TejpaulR. Tejpaul Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota More articles by this author , F. IsenseeF. Isensee German Cancer Research Center (DKFZ) Heidelberg, University of Heidelberg, Heidelberg, Germany More articles by this author , T. BenidirT. Benidir https://orcid.org/0000-0003-2043-3658 Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio More articles by this author , M. HofmannM. Hofmann Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio More articles by this author , P. BlakeP. Blake University of Minnesota School of Medicine, Minneapolis, Minnesota Financial and/or other relationship with the University of Minnesota. More articles by this author , Z. RengalZ. Rengal University of Minnesota School of Medicine, Minneapolis, Minnesota More articles by this author , K. MooreK. Moore Carleton College, Northfield, Minnesota More articles by this author , N. SathianathenN. Sathianathen Department of Urology, University of Melbourne, Melbourne, Australia More articles by this author , A. KalaparaA. Kalapara Department of Urology, University of Melbourne, Melbourne, Australia More articles by this author , J. RosenbergJ. Rosenberg University of Minnesota School of Medicine, Minneapolis, Minnesota More articles by this author , S. PetersonS. Peterson Brigham Young University, Provo, Utah More articles by this author , E. WalczakE. Walczak University of Minnesota School of Medicine, Minneapolis, Minnesota More articles by this author , A. KutikovA. Kutikov Urology, Fox Chase Cancer Center, Philadelphia, Pennsylvania More articles by this author , R. G. UzzoR. G. Uzzo Urology, Fox Chase Cancer Center, Philadelphia, Pennsylvania More articles by this author , D. A. PalaciosD. A. Palacios Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio More articles by this author , E. M. RemerE. M. Remer Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio Department of Diagnostic Radiology, Imaging Institute Cleveland Clinic, Cleveland, Ohio More articles by this author , S. C. CampbellS. C. Campbell Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio More articles by this author , N. PapanikolopoulosN. Papanikolopoulos Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota More articles by this author , and Christopher J. WeightChristopher J. Weight †Correspondence: Cleveland Clinic, Department of Urology, Desk Q10, 9500 Euclid Ave., Cleveland, Ohio 44195 telephone: 763-498-3762, FAX: 216-445-2267; E-mail Address: [email protected]; E-mail Address: [email protected] Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio Financial and/or other relationship with Abbott Molecular. More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002390.02AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Reply by Authors." The Journal of Urology, 207(5), p. 1115

Impact Analysis of Duck Curve Phenomena with Renewable Energies and Storage Technologies

Impact Analysis of Duck Curve Phenomena with Renewable Energies and Storage Technologies by Giovani Manuel Pitra, Kameswara Subrahmanya Sastry Musti * Namibia University of Science and Technology, Department of Electrical & Computer Engineering, Windhoek West, Windhoek, 13388, Namibia * Author to whom correspondence should be addressed. Journal of Engineering Research and Sciences, Volume 1, Issue

An Analysis of SiC Power Electronics Implementation in Green Energy Based Extremely Fast Charging

An Analysis of SiC Power Electronics Implementation in Green Energy Based Extremely Fast Charging by Naireeta Deb 1,* , Rajendra Singh 2 1 Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29631, USA 2 Department of Automotive Engineering, Clemson University, Clemson, SC 29631, USA * Author to whom correspondence should be addressed. Journal

Machine Learning Aided Depression Detection in Community Dwellers

Machine Learning Aided Depression Detection in Community Dwellers by Vijay Kumar, Muskan Khajuria * , Anshu Singh Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Hamirpur, 177005, India * Author to whom correspondence should be addressed. Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 17-24, 2022; DOI: 10.55708/js0105002

An Algebraic Specification/Schema for JSON

An Algebraic Specification/Schema for JSON by Konstantinos Barlas1,* , Petros Stefaneas2 1 Department of Informatics and Computer Engineering, University of West Attica, Athens, 12243, Greece2 School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Athens, 15780, Greece * Author to whom correspondence should be addressed. Journal of Engineering Research and Sciences, Volume

Iz istorii kibernetiki: kafedra informacionnyh sistem i vychislitel'noj tekhniki Gornogo universiteta

The article is devoted to the history of the origin and formation of computer science and computer engineering, the definition of the place and role of the Department of Information Systems and Computer Engineering of the Mining University in the development of modern computer technologies. Based on the analysis of domestic and foreign literature, memoirs of participants of the events, as well as archival documents, the features of the formation of cybernetics as the basis of modern computer science are considered.

Malicious Detection of Links using Extension of Quick Response Codes

MALICIOUS DETECTION OF LINKS USING EXTENSION OF QUICK RESPONSE CODES Shamil Aripov Master degree, Department of Computer Engineering & Information Security, IITU University, Kazakhstan, Almaty Abdul Razaque Full Professor and IT

Preface

Due to recent pandemic, 2022 8th International Symposium on Sensors, Mechatronics and Automation System (ISSMAS 2022) was held virtually online on January 14-16, 2022. The decision to hold the virtual conference was made in compliance with many restrictions and regulations that were imposed by countries around the globe. Such restrictions were made to minimize the risk of people contracting or spreading the COVID-19 through physical contact. There were 150 individuals who attended this on-line conference, represented many countries.The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the universities and the industry. The conference will be held every year to make it an ideal platform for people to share views and experiences in Sensors, Mechatronics and Automation System and related areas. It will bring you an unexpected harvest.During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.In the second part, we invited five professors as our keynote speakers. Dr. Xiaohui Liang, our first keynote speaker, from Institute of Chemical Materials (ICM), China Academy of Engineering Physics (CAEP), China. His research interest includes structure healthy monitor and destroy diagnose of military-industrial material and structure, fault diagnose of major equipment, Advanced signal and information process, modern control technology, control technology application of electromechanical and hydraulic equipment. The second keynote speakers, Assoc.Prof. Kai-Sheng Chen, School of Electrical and Computer Engineering, Nanfang College of Sun Yat-Sen University, China. His research interests cover optical CDMA, radio-over-fiber, optical packet switching, and visible light communications. Assoc.Prof. K.VINOTH KUMAR, Karpagam University, Coimbatore. His research interests included Electronics & Communication Engineering, Applied Electronics, Wireless Sensor Networks Survey, Investigations on Location based Multipath Secured Energy Efficient Routing Approach. Assoc.Prof. Ruhui Ma, Shanghai Jiaotong University, Department of Computer Science and Engineering. His main research directions are artificial intelligence, computer vision, intelligent manufacturing, medical-industrial intersection, cloud computing system, cloud security, intelligent system, etc. Lastly, we were glad to invite Prof. Shahid Hussain, Jiangsu University, China. His Research interests: MOS-MOF-MXene Nanomaterials, Gas-Sensors, Electrochemical Supercapacitors, Li-S batteries. Their insightful speeches had triggered heated discussion in the third session of the conference. Every participant praised this conference for disseminating useful and insightful knowledge.The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. Topics include but are not limited to the following areas: Sensing and measurement in electromechanical systems, Intelligent sensing and control, Computational Fluid Dynamics, Fault Detection and Diagnostics, Control of Distributed Generation Systems and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.We would like to acknowledge all of those who supported ISSMAS 2022. The help and contribution of each individual and institution was instrumental in the success of the conference. In particular, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers.We sincerely hope that the ISSMAS 2022 turned out to be a forum for excellent discussions that enabled new ideas to come about, promoting collaborative research. We are sure that the proceedings will serve as an important research source of references and knowledge, which will lead to not only scientific and engineering findings but also new products and technologies.The Committee of ISSMAS 2022List of titles Committee member, Conference General Chair, Technical Program Committee Chair, Publication Chair, Organizing Committees Member, Technical Program Committee Member are available in this Pdf.

Member spotlight

In this feature of the Bulletin, we highlight members of the SIGCSE community. This issue's spotlight is Adrienne Decker, Assistant Professor in the Department of Engineering Education and Adjunct Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo.

Text-Based Traffic Panels Detection using the Tiny YOLOv3 Algorithm

Text-Based Traffic Panels Detection using the Tiny YOLOv3 Algorithm by Saba Kheirinejad 1,* , Noushin Riahi 2, Reza Azmi 2 1 Center for Ubiquitous Computing, University of Oulu, Oulu, Finland 2 Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran * Author to whom correspondence should be addressed. Journal of Engineering Research and

Guest Editorial: Enhancing hosting capability for renewable energy generation in active distribution networks

Guest Editorial: Enhancing hosting capability for renewable energy generation in active distribution networks

Comparison of Student Learning Outcomes in Terms of ‘Digital Immigrant-Native’ Teachers Learning Methods

As technology continues to evolve, the gap between those who have grown up with technology (digital natives) and those who have not (digital immigrants) continues to widen. Therefore, this research aims to analyze the comparison of students learning outcomes taught by two different groups of teachers from different generation (digital native and digital immigrant). The subjects of this research were 10th-grade students in the Department of Computer and Network Engineering at Vocational High School. The total of the research respondents were 60 students. This research was using a quantitative approach with a comparative method. The data collected was the form of a questionnaire and a summary of the scores in the last semester. The results of the independent sample t-test obtained a Sig. (2-tailed) value of 0.065 > 0.05, so the decision making in the Independent Sample t-test, concluded that the null hypothesis (Ha) was accepted and the alternative hypothesis (Ha) rejected. Ho is a hypothesis which states that there is no correlation or influence between variables and other variables, while Ha is a hypothesis which states that there is a correlation or influence between variables and other variables. Based on the research result, it means that there is no difference in learning outcomes between students taught by digital immigrant teacher and digital native teacher. This research proves that digital native teachers and digital immigrant teachers are equally qualified.

Analytical Framework to Minimize the Latency in Tele-herbal Healthcare Service

Analytical Framework to Minimize the Latency in Tele-herbal Healthcare Service by Ogirima Sanni Abubakar Omuya 1,* , Arulogun Oladiran Tayo 2 1 Affiliation1Department of Information Systems, Ladoke Akintola University of Technology, Ogbomoso, Nigeria 2 Department of Computer Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria * Author to whom correspondence should be addressed. Journal of

Mentoring Constellations [Women in Engineering

I was one of only two women on the faculty when I joined the Department of Electrical and Computer Engineering (ECE) at the University of Wisconsin (UW)–Madison in 1998 as an assistant professor. I was grateful to have another woman in the department as a colleague and friend, and it felt like a luxury, as I had interviewed at more than a few universities where I would have been the sole woman in the department. Fortunately, the percentage of women faculty in ECE departments has doubled during the past 20 years at universities across the United States, from under 7% in 2001 to approximately 14% in 2019 <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , and some departments have seen even greater growth. For example, the number of women faculty in our ECE department at UW–Madison has quintupled over the past two decades: we had 10 women faculty as of fall 2021, bringing us close to 25%.

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges by Frederick Ojiemhende Ehiagwina*,1 , Nurudeen Ajibola Iromini2, Ikeola Suhurat Olatinwo3, Kabirat Raheem1, Khadijat Mustapha1 1 Department of Electrical/Electronic Engineering, The Federal Polytechnic Offa, Offa, Nigeria2 Department of Computer Engineering, The Federal Polytechnic Offa, Offa, Nigeria3 Department of Computer Science, The Federal Polytechnic Offa,

Impact of ICT integration on the development of vocational high school teacher TPACK in the digital age 4.0.

To investigate the impact of the integration of information and communication technology (ICT) on the development of the Technological Pedagogical Content Knowledge (TPACK) framework for Vocational High School teachers in the Digital Era 4.0, this research will look at the integration of ICT. The evaluation of the Online Learning Implementation Plan (RPP) of the Computer and Network Engineering Department in the even semester of the 2020/2021 academic year revealed the impact of ICT on instructors' TPACK. The research design that was used was a qualitative case study. The study included 20 teacher participants from Private Vocational Schools who were majoring in Computer and Network Engineering in order to explore the influence of ICT adoption on their classrooms. Findings from this study reveal that integrating ICT into the TPACK framework, as measured by this research project, has a positive impact on teachers. Teachers are capable of resolving issues that arise during online learning activities and providing learning assessment values that are appropriate for their students' skills and learning performance. Schools must provide more effective and professionally targeted ICT support and training in order to improve teacher competence in order to educate vocational students for a digital future, as a result of these consequences. Considering the demands for the integration of ICT into the design of educational curricula in order to develop the TPACK abilities of teachers in the face of the digital revolution is something that the government can consider. Keywords: vocational, ICT, TPACK, secondary school, engineering, educational curricula.

Improvement of AHMES Using AI Algorithms

This research aims to improve the rationality and intelligence of AUTOMATICALLY HIGHER MATHEMATICALLY EXAM SYSTEM (AHMES) through some AI algorithms. AHMES is an intelligent and high-quality higher math examination solution for the Department of Computer Engineering at Pai Chai University. This research redesigned the difficulty system of AHMES and used some AI algorithms for initialization and continuous adjustment. This paper describes the multiple linear regression algorithm involved in this research and the AHMES learning (AL) algorithm improved by the Q-learning algorithm. The simulation test results of the upgraded AHMES show the effectiveness of these algorithms.

Honor classes in China's higher education: perspectives from four universities

Ever since the University of Science and Technology of China started the Special Class for the Gifted Young in 1978, many Chinese universities have set up their own honor classes under different names such as Gifted Young Class, Basic Science Class, Experimental Class or Elite Class. These are often small classes; some emphasize mathematics and physics, aiming to cultivate talents with broad basic knowledge, while others focus on a particular discipline, such as computer science. In 2011, the Chinese Ministry of Education started the Experimental Program for the Cultivation of Top Talents in Basic Sciences, which boosted a new round of honor classes.How do these classes cultivate their students? Which kinds of special strategies are employed? Have they indeed fostered outstanding graduates? How did the students develop after graduation? On the other hand, are these classes a violation of the spirit of ‘equity in education’? Trying to answer these questions, in this NSR forum chaired by Professor Zhenjiang Hu, educators from four Chinese universities exchanged their experiences, views and perspectives on running the honor classes. Baoquan Chen Executive Director of the Center on Frontiers of Computing Studies, School of Electronics Engineering and Computer Science, Peking University. (Turing Class, Peking University.) Changqing Chen Professor and Head of the Department of Engineering Mechanics, Tsinghua University. (Tsien Excellence in Engineering Program, Tsinghua University.) Zhenyu Li Professor of the School of Chemistry and Materials Science, University of Science and Technology of China. (School of the Gifted Young, University of Science and Technology of China.) Yong Yu Professor of the Department of Computer Science and Engineering, Shanghai Jiao Tong University. (ACM Class, Shanghai Jiao Tong University.) Ming Zhang Chair of the ACM Special Interest Group of Computer Science Education (SIGCSE) China; Professor of the School of Electronics Engineering and Computer Science, Peking University. Zhenjiang Hu (Chair) Dean of School of Computer Science, Peking University.