Information Engineering Research Articles

IEEE Transactions on Biomedical Engineering Information for Authors

IEEE Transactions on Biomedical Engineering Information for Authors

A case study for optimization of power system load flow analysis using ETAP software

This research report explores the optimization of power system load current analysis by integrating Electrical Transient Analyzer Program (ETAP) software and Single Line Diagram (SLD) representation. Load current analysis is essential for the reliable and efficient operation of power grids, and the use of advanced software tools such as ETAP offers significant opportunities to improve analysis capabilities. The integration of SLD with ETAP enables more intuitive and comprehensive visualization of energy system elements and their connections, improving the modelling and analysis process. The article presents a case study that demonstrates the practical application of this integrated approach using a typical power system model to estimate load current characteristics under various operating conditions. The methodology involves building a powerful system model in ETAP and includes SLD representations to improve system visualization and analysis. The system simulation experiments evaluate the performance and accuracy of the integrated ETAPSLD approach, focusing on key parameters such as voltage profiles, current flows, enabling more efficient load current analysis and providing valuable information for power system engineers and operators. Overall, this study contributes to the field of energy system analysis by using advanced software tools for advanced modelling and optimization.

COUNSELING SYSTEM INTEGRATED ON THE WEB UNIT COUNSELING SERVICES FOR THE DEPARTMENT OF INFORMATIC ENGINEERING AND COMPUTER FACULTY OF ENGINEERING, STATE UNIVERSITY MAKASSAR

The aim of this research is to produce an integrated counseling information system on the web of the counseling service unit of the department of informatics and computer engineering, Faculty of Engineering, Makassar State University and find out the results of system testing using ISO 25010 with 8 testing aspects. This research is a type of software design research (software development) and uses a prototype design model with stages: gathering requirements, building a prototype, evaluating the prototype, coding the system, testing the system, evaluating the system, and using the system. The subjects of this research were students from the Department of Informatics and Computer Engineering, Makassar State University. Data collection instruments were carried out through validation test sheets, student response questionnaires, and system expert assessment instruments. The results obtained from this research are: (1) Functional suitability of the system created is 100% "Acceptable" criteria. (2) Performance efficiency obtained a result of 83.0% in the grade B "Good" category. (3) Usability obtained a percentage of 89% 98 respondents with the criteria "Very Good". (4) Compatibility shows that the system is made compatible with browsers so that it is expressed properly without causing problems. (5) Security obtained a grade of A+ "Very Good" in terms of security and no dangerous viruses were found on the system. (6) Reliability obtained as a percentage of 100% so it can be concluded that it meets the reliability aspect. (7) Maintainability obtained from the instrumentation, consistency and simplicity aspects can be categorized as good and meets the standards. Portability shows that the system can be accessed in a variety of different browsers. Based on the test results, it was concluded that the counseling information system integrated on the web of the counseling service unit of the informatics and computer engineering department, Faculty of Engineering, Makassar State University was suitable and acceptable for use.

Construction of non-stationary biorthogonal Wavelets based on cardinal Chebyshev B-spline

In this paper, we propose a novel method for designing non-stationary biorthogonal wavelets that leverages Bezout equations to compute wavelet filter coefficients. Our approach integrates cardinal Chebyshev B-splines of varying degrees (second, third, and fourth) as bases for constructing these wavelets, providing explicit formulations for both low-pass and high-pass filters at all levels. By employing this method, we streamline the design process, making it more efficient and accessible while accommodating diverse processing requirements. The utilization of Bezout equations offers a systematic framework for deriving wavelet filter coefficients, enhancing the reproducibility and reliability of the design process. This systematic approach ensures that the resulting wavelets possess desired properties such as vanishing moments, smoothness, and optimal localization. Moreover, by incorporating cardinal Chebyshev B-splines, we can effectively capture intricate signal and image features, addressing challenges encountered in traditional wavelet design methods. Our method not only simplifies the design process but also provides a comprehensive solution by explicitly formulating filters and dual filters across all levels. This comprehensive approach ensures that the resulting wavelets meet the specific demands of applications in signal and image processing, including compression, denoising, and pattern recognition. These advancements hold significant implications for various domains, including information technology, healthcare, and engineering, where efficient and reliable processing techniques are crucial. Moving forward, it is imperative to refine algorithms, assess parameter robustness, and conduct thorough empirical validations across diverse datasets and application scenarios. This will ensure the efficacy and scalability of our proposed method and pave the way for further advancements in non-stationary wavelet design and its applications. By continuously improving and validating our approach, we can foster innovation and enhance practical outcomes in a wide range of fields.

Analysis of Learning Media Needs for Physics of Motion Course Based on Android Platform

Teaching and learning activities in the post-pandemic educational environment are already underway in both schools and universities. However, there are also those who still apply a hybrid learning system, one of which is the learning system at Indraprasta PGRI University which still applies a hybrid learning system, namely the physics of motion course. Utilizing Android-based learning media can enjoy learning experiences, facilitating access to various educational resources. It is important to know the needs of students and educators in the process of learning physics of motion to improve the quality of learning, namely by conducting a needs analysis. The aim of this research is to determine the importance of the need for Android-based motion physics learning media. The method used in the research is exploratory descriptive research. From the results of observations and interviews conducted with several motion physics lecturers and observing learning activities in class, the methods used in learning still use classical methods. Learning the physics of motion using Matlab requires a video guide so that it is easy for students to understand. From the results of filling out the questionnaire via a questionnaire, it can be concluded that the results of the analysis of students' needs for Android learning media in the physics of motion course showed that 88.31% answered that they agreed with the development of an Android-based motion physics learning application. So it can be concluded that the development of Android-based motion physics learning media is needed by Informatics Engineering students at Indraprasta PGRI University.

Research on Development Status and Countermeasures of Electronic Information Engineering

With the rapid development of information technology, electronic information engineering is growing and developing as an important discipline and industry. This study analyses the current development status of electronic information engineering, discusses its application fields and prospects, and points out the problems and challenges in its development. Meanwhile, this thesis proposes a series of countermeasures, including policy support and guidance, talent training and introduction, technological innovation and R&D, and international cooperation and exchange, in order to promote the healthy development of electronic information engineering. Finally, this thesis evaluates the implementation and effect of countermeasures.

Course Design and Evaluation System Construction Under the STEM Education Mode

With the rapid development of information technology, Science, Technology, Engineering, and Mathematics (STEM) education, as a crucial model for nurturing innovative talents, is gaining increasing attention. However, challenges such as insufficient resources and a lack of diversity in teaching methods exist in its implementation. Against this backdrop, this article conducts an in-depth analysis of course design and evaluation system construction under the STEM education model. The aim is to explore effective teaching strategies and diversified evaluation methods, with the ultimate goal of enhancing the quality of education and cultivating students’ comprehensive problem-solving skills.

Life cycle evaluation of seismic retrofit alternatives for reinforced concrete columns.

The critical earthquakes of the last few years highlight the urgent seismic retrofitting of existing buildings due to their aging or inadequate design. This paper aims to evaluate reinforced concrete column retrofit alternatives in a region of high seismic risk. Significant economic, environmental, and functional factors must be considered when deciding between various building retrofit options. The study uses a cradle-to-grave analysis to examine the economic and environmental impacts through life cycle assessments. Specifically, the life-cycle performance of three classic alternatives for rehabilitating columns lacking adequate confinement is compared: concrete jacketing, steel jacketing, and carbon fiber incorporation. The research adopts a holistic approach using multi-criteria decision-making methods, integrating economic, environmental, and functional criteria. A set of criteria and indicators is presented in a structured hierarchy that facilitates the orderly evaluation of alternatives. The results suggest that steel jacketing is preferred, as it presents a balanced performance in most criteria. The incorporation of carbon fiber is viable due to its low environmental and functional impact, although the high production costs of the raw materials limit it. In contrast, concrete jacketing has the highest environmental and functional impacts, making it the least favorable option. The results of this study will provide relevant information for engineers and decision-makers to select the most suitable options for building retrofit when considering several simultaneous perspectives.

Evaluation of Industrial Field Practice Program using the Tyler Model in the Informatics Engineering Education Department

This research aims to describe the evaluation implementation of industrial field practices in the informatics engineering education study program, Faculty of Teacher Training and Education, Universitas Putra Indonesia "YPTK" Padang. This research used an evaluation method with the Tyler Evaluation Model (Goal Oriented Model). Based on this method, data was collected through the following steps: 1). Identify the objectives of industrial field practice; 2) formulate indicators for the achievement goals that have been set; 3) formulate the data obtained with indicators. The main objective is divided into sub-component objectives, namely: sub-component of program objectives, sub-component of attitudes, and sub-component of achieving program objectives. All indicators included in the sub-components were analyzed using the mixed method technique (quantitative and qualitative) and obtained an average score of 84.4 %. It means that the implementation of industrial field practice in the informatics engineering education study program, Faculty of Teacher Training and Education, Universitas Putra Indonesia "YPTK" Padang, is in a good category. The impact of the implementation of industrial field practices can run smoothly in accordance with the program objectives.

Democratic Constitutional Design in a Contemporary State and Public Law Communication: Will of the People, Expert Opinion, Legal and Informational Engineering of Public Government Authorities

Democratic Constitutional Design in a Contemporary State and Public Law Communication: Will of the People, Expert Opinion, Legal and Informational Engineering of Public Government Authorities

A detailed study of resampling algorithms for cyberattack classification in engineering applications.

The evolution of engineering applications is highly relevant in the context of protecting industrial systems. As industries are increasingly interconnected, the need for robust cybersecurity measures becomes paramount. Engineering informatics not only provides tools for knowledge representation and extraction but also affords a comprehensive spectrum of developing sophisticated cybersecurity solutions. However, safeguarding industrial systems poses a unique challenge due to the inherent heterogeneity of data within these environments. Together with this problem, it's crucial to acknowledge that datasets that simulate real cyberattacks within these diverse environments exhibit a high imbalance, often skewed towards certain types of traffics. This study proposes a system for addressing class imbalance in cybersecurity. To do this, three oversampling (SMOTE, Borderline1-SMOTE, and ADASYN) and five undersampling (random undersampling, cluster centroids, NearMiss, repeated edited nearest neighbor, and Tomek Links) methods are tested. Particularly, these balancing algorithms are used to generate one-vs-rest binary models and to develop a two-stage classification system. By doing so, this study aims to enhance the efficacy of cybersecurity measures ensuring a more comprehensive understanding and defense against the diverse range of threats encountered in industrial environments. Experimental results demonstrates the effectiveness of proposed system for cyberattack detection and classification among nine widely known cyberattacks.

Study on Vehicle-Bridge Coupled Vibration of Curved Girder Bridges under Different Road Surface Grades

This study explores the impact of different levels of road surface smoothness on the dynamic response of bridges. By conducting a detailed analysis under five different conditions of road surface smoothness, the mechanisms by which road surface irregularities affect the dynamic characteristics and safety performance of bridge structures are revealed. The research employs the finite element simulation method to compare and analyze the changes in key dynamic indicators such as vertical displacement, torsional angle, torque, and bending moment of bridges under different grades of road surface smoothness. The results indicate that a decrease in road surface smoothness significantly increases the dynamic response of bridges. The findings provide important reference information for bridge engineers in the design and maintenance of bridges.

Comparison of Classification Algorithms for Predicting Graduation of Informatics Engineering Students with Orange Data Mining

Timely completion of studies is an important parameter to assess the competence of graduates. However, challenges arise because not all students can complete their studies according to the predetermined schedule. In this study, the prediction of student graduation status was developed using four classification models, namely Decision Tree, Naïve Bayes, K-NN and SVM. This research also involves the addition of new variables to improve the accuracy of predicting student graduation rates. The dataset used is the 2018-2020 batch student data at Prof. Dr. Hamka Muhammadiyah University, consisting of 500 student data (60% training data and 40% test data). The analysis was carried out by utilizing Orange Data Mining software, with model evaluation involving K-Fold Cross Validation with a value of (K=5), Confusion Matrix, and ROC. The results show that the K-NN algorithm is the most effective algorithm in predicting student graduation status, with accuracy and precision rates reaching 92%, recall rate of 89%.

Inflammaging in Multidrug-Resistant Sepsis of Geriatric ICU Patients and Healthcare Challenges.

Multidrug-resistant sepsis (MDR) is a pressing concern in intensive care unit (ICU) settings, specifically among geriatric patients who experience age-related immune system changes and comorbidities. The aim of this review is to explore the clinical impact of MDR sepsis in geriatric ICU patients and shed light on healthcare challenges associated with its management. We conducted a comprehensive literature search using the National Center for Biotechnology Information (NCBI) and Google Scholar search engines. Our search incorporated keywords such as "multidrug-resistant sepsis" OR "MDR sepsis", "geriatric ICU patients" OR "elderly ICU patients", and "complications", "healthcare burdens", "diagnostic challenges", and "healthcare challenges" associated with MDR sepsis in "ICU patients" and "geriatric/elderly ICU patients". This review explores the specific risk factors contributing to MDR sepsis, the complexities of diagnostic challenges, and the healthcare burden faced by elderly ICU patients. Notably, the elderly population bears a higher burden of MDR sepsis (57.5%), influenced by various factors, including comorbidities, immunosuppression, age-related immune changes, and resource-limited ICU settings. Furthermore, sepsis imposes a significant economic burden on healthcare systems, with annual costs exceeding $27 billion in the USA. These findings underscore the urgency of addressing MDR sepsis in geriatric ICU patients and the need for tailored interventions to improve outcomes and reduce healthcare costs.

Discussion on the Reform of the Cultivation of Computational Thinking Ability for Information Engineering Major under the Background of Engineering Education Accreditation

Abstract Computational thinking is the basic ability that contemporary college students should have, and it is more demanding for engineering students. Combining with the orientation and characteristics of information engineering specialty in our university, and comparing with the graduation requirement index system in engineering education certification, this paper puts forward the idea of strengthening the cultivation of computational thinking ability, reconstructs the specialty curriculum system, strengthens the teaching of computational thinking series courses to optimize the teaching content, and implements the reform measures of “problem solving” series courses with “domain” as the teaching unit to innovate the practical teaching method. Years of teaching reform practice shows that the reform of computational thinking series courses has achieved good results and met the requirements of talent training objectives.

IEEE Engineering in Medicine and Biology Society Information

IEEE Engineering in Medicine and Biology Society Information

Bridging the organoid translational gap: integrating standardization and micropatterning for drug screening in clinical and pharmaceutical medicine

Abstract Synthetic organ models such as organoids and organ-on-a-chip have been receiving recognition from administrative agencies. Despite the proven success of organoids in predicting drug efficacy on laboratory scales, their translational advances have not fully satisfied the expectations for both clinical implementation and commercial applications. The transition from laboratory settings to clinical applications continues to encounter challenges. Employing engineering methodologies to facilitate the bridging of this gap for organoids represents one of the key directions for future advancement. The main measures to bridge the gap include environmental and phenotypic recapitulation, 3D patterning, matrix engineering, and multi-modality information acquisition and processing. Pilot whole-process clinical/pharmaceutical applications with fast and standardized organoid models will continuously offer convincing frontline optimization clues and driving forces to the organoid community, which is a promising path to translational organoid technologies.

TECHNOLOGY OF THE DEVELOPMENT OF MACHINE-GRAPHICS PROFILE OF A PARTS AND ASSEMBLY UNITS IN TRAINING SKETCHES

The purpose of studying the discipline “Engineering Graphics” is to acquire skills in working with engineering and graphic information: mapping spatial objects to orthogonal planes in the form of a drawing (direct task), reading a drawing (inverse task), ultimately solving spatial and logical problems. The necessity to start performing graphic works with a pencil, paper, using drawing and graphic tools is shown and justified, and only then to involve modern computer technologies for these purposes. Not the ability to work with a pencil; it is not understood that the use of computer graphics hardware and software at the initial stage leads to the loss of graphic competence of the graduate, and ultimately to a decrease in the competitive ability of specialists.

Mental Health Problems of College Students in Private Colleges and Their Analysis - Take Anhui Wenda Information Engineering College as an Example

This article investigates the status of mental health in private universities in the new era and analyzes the influencing factors. From April 2023 to 2026, 34012 students from Anhui Wenda Information Engineering College were randomly selected as research subjects and surveyed using the Life Satisfaction and Symptom Checklist-90 (SCL-90). Student interpersonal and depression scores are demographic variables (P <0.01), and anxiety (P <0.001). Students' life satisfaction is different in gender, region, major, and independence, and female students, science students, urban students, and only child students have higher scores. The life satisfaction of different grades is different (F=11.702, P <0.001), sophomores are higher than the other three grades, and senior students have the lowest scores. In the new era, the mental health status of college students is poor, so colleges and universities should take multiple measures to carry out the mental health work, targeted guidance and intervention.

IEEE Transactions on Biomedical Engineering Information for Authors

IEEE Transactions on Biomedical Engineering Information for Authors