Computer Engineering Research Articles

Generative Artificial Intelligence Systems and the Challenges in Latin American Education

This article examines the transformative role of Generative Artificial Intelligence (GAI) in education, exploring diverse disciplines such as engineering, medicine, programming, and information systems. GAI emerges as a revolutionary force, promising to fundamentally change educational practices. The PRISMA 2020 methodology (Page et al., 2021) was used to evaluate the relevant scientific literature. The systematic review identified research that applied specific criteria in the analysis of IAG in education. The selected papers covered a variety of disciplines, providing a comprehensive view of the impact of IAG in education. The results show a diversity of approaches and institutional responses to IAG in education. From significant changes in teaching practices to the identification of specific opportunities in disciplines such as computer science and engineering, GAI stands out as a catalyst for transformation. The adaptation of tertiary education, the need for specific skills to work with GAI, and ethical responses emerge as key themes. It focuses on the need for a deeper and more consensual understanding of the role of GAI in education. Concrete research-supported opportunities are highlighted, but ethical limitations and concerns are also underscored. Collaboration, reflection, and adaptation to open educational practices are proposed as approaches to address the challenges and fully exploit the benefits of IAG in education. This comprehensive analysis contributes to understanding the current and future landscape of GAI in education, providing valuable guidelines for educators, institutions, and educational technology developers.

Research trends of digital transformation in healthcare systems: A bibliometric approach

This study aims to guide future research by examining trends and structures in scholarly publications about digital transformation in healthcare. We analyzed English-language, open-access journal articles related to this topic from the Scopus database, irrespective of publication year. Using tools like Microsoft Excel, VOSviewer, and Scopus Analyzer, we found a growing research interest in this area. The most influential article, despite being recent, has been cited 836 times, indicating its impact. Notably, both Western and Eastern countries contribute significantly to this field, with research spanning multiple disciplines, including computer science, medicine, engineering, business, social sciences, and health professions. Our findings can help policymakers allocate resources to impactful research areas, prioritize multidisciplinary collaboration, and promote international partnerships. They also offer insights for technology investment, implementation, and policy decisions. However, this study has limitations. It relied solely on Scopus data and didn’t consider factors like author affiliations. Future research should explore specific collaboration types and the ethical, social, policy, and governance implications of digital transformation in healthcare.

6<sup>th</sup> International conference “Development of Computer Engineering in Russia and Former USSR and COMECON Member Countries”

6<sup>th</sup> International conference “Development of Computer Engineering in Russia and Former USSR and COMECON Member Countries”

Cultural heritage preservation in the digital age, harnessing artificial intelligence for the future: a bibliometric analysis

PurposeThis study aims to investigate the performance analysis, science mapping and future direction of artificial intelligence (AI) technology, applications, tools and software used to preserve, curate and predict the historical value of cultural heritage.Design/methodology/approachThis study uses the bibliometric research method and utilizes the Scopus database to gather data. The keywords used are “artificial intelligence” and “cultural heritage,” resulting in 718 data sets spanning from 2001 to 2023. The data is restricted to the years 2001−2023, is in English language and encompasses all types of documents, including conference papers, articles, book chapters, lecture notes, reviews and editorials.FindingsThe performance analysis of research on the use of AI to aid in the preservation of cultural heritage has been ongoing since 2001, and research in this area continues to grow. The countries contributing to this research include Italy, China, Greece, Spain and the UK, with Italy being the most prolific in terms of authored works. The research primarily falls under the disciplines of computer science, mathematics, engineering, social sciences and arts and humanities, respectively. Document types mainly consist of articles and proceedings. In the science mapping process, five clusters have been identified. These clusters are labeled according to the contributions of AI tools, software, apps and technology to cultural heritage preservation. The clusters include “conservation assessment,” “exhibition and visualization,” “software solutions,” “virtual exhibition” and “metadata and database.” The future direction of research lies in extended reality, which integrates virtual reality (VR), augmented reality (AR) and mixed reality (MR); virtual restoration and preservation; 3D printing; as well as the utilization of robotics, drones and the Internet of Things (IoT) for mapping, conserving and monitoring historical sites and cultural heritage sites.Practical implicationsThe cultural heritage institution can use this result as a source to develop AI-based strategic planning for curating, preservation, preventing and presenting cultural heritages. Researchers and academicians will get insight and deeper understanding on the research trend and use the interdisciplinary of AI and cultural heritage for expanding collaboration.Social implicationsThis study will help to reveal the trend and evolution of AI and cultural heritage. The finding also will fill the knowledge gap on the research on AI and cultural heritage.Originality/valueSome similar bibliometric studies have been conducted; however, there are still limited studies on contribution of AI to preserve cultural heritage in wider view. The value of this study is the cluster in which AI is used to preserve, curate, present and assess cultural heritages.

Study of gender perspective in STEM degrees and its relationship with video games

At present, even though gender equality is an important matter of public interest, there are still areas in higher education where male presence is overwhelming. We refer to STEM (Science, Technology, Engineering, and Mathematics) studies in general and Computer Engineering in particular where there is only 16% of female presence in Spain. This fact made us think about the reason for this inequality. We attempted to answer such questions by means of a survey filled out by 138 students of STEM university degrees. Thanks to this survey, we have been able to understand the motivations and opinions of the students of STEM degrees regarding gender perspective. Our study highlights the possible influence of computer and video game use on enrollment in STEM degrees. Furthermore, it points out the differences between men and women in computer science skills before they start their studies. The answers provided by the surveyed women showed a correlation between women who play video games and those who get better grades. In addition, women who play video games feel more integrated into STEM degrees. Finally, differences were found in gender perspective between the male and female participants.

ChatGPT Enhances Programming Skills of Computer Engineering Students

This research paper aims to outline the role of ChatGPT as one artificial intelligence technology that has progressed in depth and positive effect on the field of education and research with highly capable language developed by OpenAI. This technology presents an exciting opportunity for students and educators, including personalize feedback, increased ability accesses, lesson preparation, assessment and new way of teaching complexity such as code correction and completion, automatic syntax error fixing, code snippet suggestion, code refactoring suggestions and optimization, generate of missing code, document, text to code, and answering technical queries. The experimented was adopted with 51 students in final grade of Computer Engineering, Souphanouvong University and selected 30 students in interviews to collect data for analysis and evaluation. The results show that students with using ChatGPT to help in programming they can more understandable by able to explain, giving examples, concepts, technology of complex method, searching related information and technical solving problem, which can improve programming skills and careers in software development in the future. However, students are still concerned about the accuracy of information provided, loss personal interaction, data privacy issue and price.

THE RELATIONSHIP BETWEEN READING MOTIVATION AND READING COMPREHENSION AT VOCATIONAL HIGH SCHOOL

This study aimed to find out the relationship between reading motivation and reading comprehension in a foreign language. This research was carried out at vocational high school, with are 99 students of the tenth grade in vocational high school that were randomly selected from five majors: automation and officer governance (OTKP), accounting a nd financial institutions, online business and marketing, culinary, and computer and network engineering. Data were collected through distributing questionnaire and reading comprehension test. Foreign Language Motivation Reading Questionnaire (FLMRQ) was employed to find out students‟ reading motivation in English and reading comprehension test to find out scores‟ students. The findings, there is no correlation because they have motivation to read in English but their motivation does not run well. Their motivation is not implemented because students‟ ability to read in English is lack or in other words they do not master many English vocabularies. It is seen from the average value of their reading comprehension test is low (56.00) but result of reading motivation is high (72.45).

User Perception of Smart Home Surveillance: An Integrative Review

Smart Home Technologies (SHTs) have recently become popular for a variety of purposes, including healthcare, entertainment, and convenience, among others. While SHT manufacturers promise to provide a range of services relating to home security, health and wellness, automated domestic tasks, entertainment, and beyond, user perceptions vary widely in terms of benefits and drawbacks. Moreover, surveillance studies researchers have warned against normalizing technologies that may exacerbate uneven power dynamics between users and household members, marketing companies, insurance brokers, law enforcement, and others. Through an analysis of the interdisciplinary literature stemming from computer science and engineering, gerontology, the social sciences, and related fields, we explore the extent to which these potential risks and related concerns are reflected upon by smart home users. This scoping review aims to explore SHT user perceptions of privacy attitudes, the purposes of smart home surveillance, risks and benefits, and impacts on home safety. Through our review of sixty-eight relevant studies, we found that many smart home users reported satisfaction over perceived benefits such as an increased sense of safety and home security. Many others displayed limited understandings of data collection practices or expressed privacy concerns. Nonetheless, SHT usage prevailed among these users. Others report a perceived trade-off between privacy and other factors, such as convenience, and some may have resorted to privacy cynicism, a coping mechanism for dealing with ubiquitous surveillance. In order to better understand SHT adoption trends despite concerns, exploring the conflict between user perceptions of privacy, understanding of SHT data collection purposes, risks and benefits, and home safety, is essential.

An assessment framework for creative production in computing and engineering disciplines

With the increasing expansion of creative computing courses among higher education institutions, there is a growing demand for more objective and efficient assessment frameworks that cater to the multidisciplinary skills that students engage in during the production of such work. This research addresses persistent gaps for a systematic approach of assessing creative content in technical courses. Existing theories are reviewed including creative requirements framework and computing production model, which leads to the establishment of a newly proposed assessment framework. A mixture of research methods is employed combining both inductive and deductive approaches, evidence- based analysis, and case study, based on data collected over three academic years at a British university. The proposed assessment framework incorporates three factors of production (function, usability, and management) and two attributes of creativity (core and optional requirements), which is evaluated to determine its suitability for accurately reflecting the work undertaken by students. Creativity is quantified in the assessment based on technical contribution. The proposed framework can be applied in the delivery of courses involving creative production in the computer science and engineering disciplines in which teaching usually focuses on technical content rather than contextual design, creativity, or aesthetics. The findings reveal positive feedback and a number of pertinent outcomes, including promoting creativity, student satisfaction, and efficient assessments. The framework may be adopted by educators for similar courses that are underpinned by technical skills and creativity.

Preface

On behalf of the organizing committee, we are very pleased to introduce the proceedings of 2024 The 17th International Conference on Computer and Electrical Engineering (ICCEE 2024), which was held in Shenzhen, China (virtual) on June 28-30, 2024. Because more than two-thirds of the authors chose to attend the conference online, we had to switch to totally virtual conference to ensure the effectiveness of the conference. It is with great pleasure and anticipation that we convene once again to explore the latest advancements, challenges, and opportunities in the dynamic fields of Computer and Electrical Engineering. In today’s interconnected world, computer and electrical engineering play critical roles in shaping the technological landscape. ICCEE 2024 serves as a platform for fostering interdisciplinary collaboration, knowledge sharing, and networking among researchers, practitioners, and industry leaders. ICCEE 2024 lasted 3 days. There are online test sessions on ZOOM on the first day, and then followed with a wonderful array of 2 keynote speeches and 2 invited speeches, along with 4 technical sessions during June 29-30. The authors presentations cover topics on Power System Control Model and Simulation Analysis, Electrical Fault Detection and Maintenance Strategy, Digital Communication and Information Systems, Intelligent Electronic Systems and Status Monitoring, with 15 minutes for each presentation, including 2 minutes for the Q&A. Additionally, there are around 100 delegates attending online conference. Delegates had a wide range of sessions to choose from and had enough time in deciding which sessions to attend. List of Committee and Statement of Peer Review are available in this Pdf.

Place de la cranioplastie dans la prise en charge des crâniectomies décompressives : étude de la cohorte de l’Hôpital Fondation Adolphe de Rothschild sur 7 ans

The objective of our study is to take stock of the cranioplasty implants used within our establishment. We analyzed the patients files who underwent craniectomy followed by cranioplasty between 2017 and 2023, with at least 1 year of follow-up after cranioplasty (n=75). The data were extracted from the computerized patient file (DxCare®, Dédalus) and the pharmaceutical management tool for drugs and sterile medical devices (Pharma®, Computer Engineering). The sex ratio, indication for craniectomy, operating time, time between craniectomy and cranioplasty, complications and aesthetic result were statistically analyzed. The main indications are stroke (n=59; 78.5%) and aneurysms (n=7; 9.5%). Among the 75 patients, 52 benefited from the placement of a custom implant (PolyEtherEtherCetone/PEEK or Hydroxyapatite) and 23 from cementoplasty. The operating time was significantly shorter (p < 0.05) for custom cranioplasty (1.93 ± 0.61 h vs 1.62 ± 0.53). Only 4 patients (5.3%) were not satisfied with the aesthetic result following the placement of a custom implant. A greater risk of infection was found in the context of cementoplasty (43% for cementoplasties vs 25% for the custom implant, so χ2(p = 0.1095), this difference not being statistically significant. This collaborative work between the pharmacy and the adult neurosurgery department served to establish an initial register for monitoring patients who have undergone cranioplasty for whom the ideal implant remains to be determined.

Quantum Software: The Brain of Quantum — Guest Editor’s Introduction

Quantum Software, its engineering and its applications are becoming more and more indispensable components of the current knowledge baggage of researchers and industrial professionals. Given the continuous accelerating developments of Quantum Computing, and the vastness of available knowledge, one needs efficient methods to dedicate the limited available personal time to the correct choice of selective information. This Special Issue on “Quantum Computing and Software Engineering” offers a small, but diverse set of papers covering theoretical, practical software system design and a pragmatic survey of Quantum Software Engineering, being a map pointing to references of relevance, aiming to answer the issue of choice of selective information.

Developing a project-based learning-based e-module to enhance critical thinking skills on vocational students

This study aims to develop a digital simulation and communication e-module based on Project Based Learning by using Moodle application to improve critical thinking skills in the field of computer and network engineering. The main focus of this study is to assess the validity, practicality, and student responses to the developed e-module design. The study employed a Research and Development (R&amp;D) with the 4D model, including Define, Design, Develop, and Disseminate. The instrument used was a set of questionnaires on validation, user practicability, and student responses to the e-module, distributed to 25 students. The e-module was rated as valid by media experts (82%) and material experts (84%) and very practical according to teacher assessment (89.09%) and practical according to student assessment (84.07%). The results showed that students' scores after using the e-module were higher than the scores before using the e-module, indicating the effectiveness of the e-module in improving students’ critical thinking skills and understanding of the learning. The findings emphasize the importance of technology integration in vocational high schools to prepare students for future jobs and encourage innovation in 21st century learning methodologies.

Improving the Usability of Graphical Authentication Systems Using Subject-Based Images

Recognition based graphical authentication systems rely on a system user’s ability to recognize previously chosen images and use those images to gain access into a computing systems, devices or application. Recognition based systems that utilise several types of images have been developed and studied. The déjà vu scheme depends on the use of abstract (meaningless) images. Images in the déjà vu scheme have no exact meaning. This scheme has also been actively studied. This article presents a between user study conducted on two recognition-based schemes using system prototypes. The Abstract Based Graphical Authentication (ABGA) was designed to simulate the déjà vu scheme. The performance of this system was compared with the performance of a novel system developed for this research. The novel system, called Subject Based Graphical Authentication (SBGA), in which the system used images from the various disciplines of the research participants. The researcher conducted a lab-based study with 100 participants, 50 participants for each of the prototypes. The study investigated the impact of using subject based images to enhance the usability and security of recognition-based graphical passwords. Two graphical models were thus developed and presented to the 100 participants, which comprised of staff and students from the departments of Computer Science, Mathematics, and Engineering. In the experiments, participants selected their graphical passwords from sets of images representing their various disciplines. The researcher observed that the memorability rate for graphical passwords consisting of subject based images aligned with participants' disciplines surpassed the rate for passwords with purely abstract images. The results indicated 81.7% successful login rate and 18.3% failure rate for Subject Based Graphical Authentication (SBGA). In contrast, Abstract Based Graphical Authentication (ABGP) exhibited a 51.5% successful login rate and a 48.7% failure rate. The findings provide significant insights for graphical password designers and developers seeking to enhance system memorability. Balancing image familiarity with security considerations can lead to more user-friendly and effective recognition-based authentication systems. This study provides valuable insights into the benefits of incorporating familiar images in recognition-based graphical passwords, showcasing a significant improvement in memorability and user authentication success. The findings underscore the importance of considering the user’s familiarity with portfolio images in the design of graphical authentication systems.

Analysis and Classification Of Wireless LAN Network Service Quality Using The Naive Bayes Algorithm In The Department Of Informatics and Computer Engineering, Faculty Of Engineering, State University Of Makassar

This study aims to determine the Quality of Service outcomes and the classification results of the Naive Bayes Algorithm on the Wireless LAN network quality in the Department of Informatics Engineering and Computer Faculty of Engineering at Makassar State University. This study uses the Action Research method with a quantitative approach. It conducts 54 tests using Wireshark in two different sessions to be compared for each time conducted during the research. The results of the research indicate that the status of the Wireless LAN network in the Department of Informatics Engineering and Computer Faculty of Engineering at Makassar State University falls into the "Good" category with the highest value of 59.26% , with an algorithm accuracy of 65.43%. Both testing sessions, morning session from 08:30 to 09:00 and afternoon session from 13:30 to 14:00, are categorized as "Good" according to the TIPHON standardization category as well as based on the Naive Bayes Algorithm classification results. Based on the research findings, it is recommended that the measurement of network service quality can utilize software other than Wireshark and increase the amount of test data to improve the accuracy of the Naive Bayes algorithm.

Research on the Cultivation Mode and Path of Innovation and Entrepreneurship Ability of Computer and Electronic Engineering College Students under the Background of Artificial Intelligence

As a disruptive technology, artificial intelligence has affected global economic development on multiple levels. With the widespread application of artificial intelligence technology in various industries, the market demand for artificial intelligence technology and applications continues to grow, providing college students with opportunities to participate in emerging industries. College students can create new products and services and achieve technological innovation with the continuous development of artificial intelligence technology. This paper adopts the method of literature review, and combines the existing artificial intelligence background to explore the possibility of using artificial intelligence as an auxiliary tool for cultivating college students' innovation and entrepreneurship ability. Combining cutting-edge theories with a variety of practical explorations, this paper finally forms a set of methodologies for computer and electronic engineering college students to complete learning and entrepreneurial practice through artificial intelligence in the stage of university education.

An Efficient Algorithm for Sorting and Duplicate Elimination by Using Logarithmic Prime Numbers

Data structures such as sets, lists, and arrays are fundamental in mathematics and computer science, playing a crucial role in numerous real-life applications. These structures represent a variety of entities, including solutions, conditions, and objectives. In scenarios involving large datasets, eliminating duplicate elements is essential to reduce complexity and enhance performance. This paper introduces a novel algorithm that uses logarithmic prime numbers to efficiently sort data structures and remove duplicates. The algorithm is mathematically rigorous, ensuring correctness and providing a thorough analysis of its time complexity. To demonstrate its practicality and effectiveness, we compare our method with existing algorithms, highlighting its superior speed and accuracy. An extensive experimental analysis across one thousand random test problems shows that our approach significantly outperforms two alternative techniques from the literature. By discussing the potential applications of the proposed algorithm in various domains, including computer science, engineering, and data management, we illustrate its adaptability through two practical examples in which our algorithm solves the problem more than 3×104 and 7×104 times faster than the existing algorithms in the literature. The results of these examples demonstrate that the superiority of our algorithm becomes increasingly pronounced with larger problem sizes.

Green Wearable Sensors and Antennas for Bio-Medicine, Green Internet of Things, Energy Harvesting, and Communication Systems.

This paper presents innovations in green electronic and computing technologies. The importance and the status of the main subjects in green electronic and computing technologies are presented in this paper. In the last semicentennial, the planet suffered from rapid changes in climate. The planet is suffering from increasingly wild storms, hurricanes, typhoons, hard droughts, increases in seawater height, floods, seawater acidification, decreases in groundwater reserves, and increases in global temperatures. These climate changes may be irreversible if companies, organizations, governments, and individuals do not act daily and rapidly to save the planet. Unfortunately, the continuous growth in the number of computing devices, cellular devices, smartphones, and other smart devices over the last fifty years has resulted in a rapid increase in climate change. It is severely crucial to design energy-efficient "green" technologies and devices. Toxic waste from computing and cellular devices is rapidly filling up landfills and increasing air and water pollution. This electronic waste contains hazardous and toxic materials that pollute the environment and affect our health. Green computing and electronic engineering are employed to address this climate disaster. The development of green materials, green energy, waste, and recycling are the major objectives in innovation and research in green computing and electronics technologies. Energy-harvesting technologies can be used to produce and store green energy. Wearable active sensors and metamaterial antennas with circular split ring resonators (CSSRs) containing energy-harvesting units are presented in this paper. The measured bandwidth of the matched sensor is around 65% for VSWR, which is better than 3:1. The sensor gain is 14.1 dB at 2.62 GHz. A wideband 0.4 GHz to 6.4 GHz slot antenna with an RF energy-harvesting unit is presented in this paper. The Skyworks Schottky diode, SMS-7630, was used as the rectifier diode in the harvesting unit. If we transmit 20 dBm of RF power from a transmitting antenna that is located 0.2 m from the harvesting slot antenna at 2.4 GHz, the output voltage at the output port of the harvesting unit will be around 1 V. The power conversion efficiency of the metamaterial antenna dipole with metallic strips is around 75%. Wearable sensors with energy-harvesting units provide efficient, low-cost healthcare services that contribute to a green environment and minimize energy consumption. The measurement process and setups of wearable sensors are presented in this paper.

The Understanding of Electrical and Computer Engineering Students to Translate Sharia Economic Texts Via Google Translate

The potential of Islamic economics to develop in Aceh where Islamic culture and values ​​are very large and strong. Therefore, even though electrical and computer engineering students do not specifically study Islamic economics courses but live in Aceh, it is important to know the insight into Islamic economic texts. Google translate is very helpful in translating texts with nuances of sharia economics in Aceh to electrical and computer engineering students. This research was a descriptive-qualitative. The data used as a test comes from the abstract of an article by Ode and Hamizar (2024) entitled "Quantitative Analysis of the Relationship between Income and Welfare of Tuna Fishermen from the Perspective of Sharia Finance" which title is themed on sharia finance which is needed to determine the abilities of electrical and computer engineering students so that they can have insight related to the sharia economic system where this system is implemented in Aceh where they live. It can be concluded that electrical and computer engineering students can understand the interlingual translation of abstracts related to Islamic economics in English into Indonesian via Google Translate.

FLIGBY for graduates' employability enhancement in Computer Engineering

AbstractSerious games can play a crucial role in developing competencies for the job market, offering an innovative and engaging approach to learning. This study uses FLIGBY to develop employability skills among computer engineering graduates. FLIGBY is a serious game that simulates a virtual company environment where players make strategic decisions, emphasizing the principles of flow and positive psychology. Immersion in realistic scenarios provides practical experience, contributing to the development of market‐ready skills. A quantitative methodology based on descriptive statistics and hypothesis testing was adopted to measure the development of competencies for the job market using the Systems Engineering Competency Framework. The results show that competence development occurs mainly in the professional and managerial dimensions. In contrast, there is no development of core and technical competencies. Furthermore, the perception of the development of these competencies occurs mainly for students with more years of professional experience. The experiential nature of FLIGBY allows users to develop practical knowledge, promoting adaptability and resilience. This gamified approach accelerates the learning curve, preparing individuals for real‐world challenges in the computer engineering workplace.