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1
Gardi, Lady. "Data Processing Payment of Educational Guidance Contributions at Al Ihsan Pamarican High School, Ciamis Regency." Journal of Intelligent Decision Support System (IDSS) 4, no. 2 (June 30, 2021): 51–55. http://dx.doi.org/10.35335/idss.v4i2.70.
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The use of computer technology, especially in terms of data processing, is currently very necessary, both for the benefit of individuals and for an agency, including the payment system for the Educational Development Contribution (SPP) at SMK Al-Ihsan Pamarican. The tuition payment process at Al-Ihsan Pamarican Vocational School requires a recording, processing, storage and report on students who make payments. The problems mentioned above, the authors create a payment data processing system that aims to build a payment data processing of educational assistance donations that is easy to use, and can be relied on and ensures the availability of data. The result of this final project is in the form of a payment system that can be implemented at the Al-Ihsan Pamarican Vocational School, or other educational institutions. which can eventually be used for the storage, processing, and reporting of computerized payment data. With the implementation of a computerized system or application program, in providing services and performance, tuition payments can run well, and can speed up data information services for parties in need, such as students, the finance department and reports to the principal.
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Puspitasari, Norma, Edy Susena, and Muhammad Hari Wahyudi. "Analysis of Web-Based Academic Information System at Harapan Kartasura Vocational School." International Journal of Computer and Information System (IJCIS) 3, no. 3 (September 30, 2022): 131–36. http://dx.doi.org/10.29040/ijcis.v3i3.86.
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Technological advancements are continuously developing rapidly, initiated or based on the world of education that provides knowledge, guidance and practice on how to create updated technology. The cause of the creation of technology stems from the world of education, so the world of education should implement a technology-oriented information system. HarapanKartasura Vocational School in processing academic data still uses a simple computerized system and still uses paper. Even though it is supported by a computer, it only uses simple applications such as Microsoft Excel and Word applications, thus allowing a lot of errors in processing academic data. This can hinder academic services to students and teachers as well as result in difficulties in finding data and consuming time in preparing reports. The purpose of this study is to design an academic information system at HarapanKartasura Vocational School so that it can facilitate the processing of academic data such as student data, teacher data, class data and subject data and can overcome existing problems.The result of this research is an academic information system that can help accelerate school performance and make it easier for schools to get the information they need precisely, quickly and accurately.
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Cheng, Yao, and Yu Si Liang. "The Development of Artificial Intelligence in Career Initiation Education and Implications for China." European Journal of Artificial Intelligence and Machine Learning 2, no. 4 (October 3, 2023): 4–10. http://dx.doi.org/10.24018/ejai.2023.2.4.32.
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Artificial intelligence (AI) is currently exerting a significant impact on the development of career guidance education, facilitating personalized guidance and data-driven decision-making for students. The historical and evolutionary trajectory of AI-driven career guidance education can be traced back to its early stages as assistive functionalities, which have now advanced to encompass robust learning applications, such as multimedia and interactive features, machine learning, and natural language processing. Notably, AI has transcended its conventional role in vocational development and expanded into the realms of social and emotional learning. The complexity of AI research in international contexts necessitates consideration of various factors, including cognitive development, parental involvement and supervision, and cultural backgrounds. Despite certain limitations in utilizing AI for career exploration, it has brought numerous impacts and insights. These primarily manifest in the areas of data-driven decision-making and the outlook for career exploration, the demand for cultural sensitivity in AI-driven career guidance, and the provision of personalized career guidance through artificial intelligence in education.
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Sari, Pratita Permata, and Uep Tatang Sontani. "Kontribusi prestasi belajar mata pelajaran produktif dan bimbingan karier terhadap kesiapan kerja siswa sekolah menengah kejuruan." Jurnal Pendidikan Manajemen Perkantoran 6, no. 1 (January 1, 2021): 32–46. http://dx.doi.org/10.17509/jpm.v6i1.40823.
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The low work readiness of vocational high school (SMK) graduates is a problem that has not been resolved to date, it is indicated by the low absorption capacity of SMK graduates nationally and regionally. This condition is thought to have something to do with weak learning achievement in productive subjects and career guidance. On the basis of this, the researcher intends to investigate and analyze the contribution of learning achievement factors for productive subjects and career guidance factors to vocational student work readiness. For this reason, the authors extracted data from class XII students of the Office Automation and Management Expertise Program (OTKP) at a vocational school in Bandung using a questionnaire as a data collection instrument. Furthermore, the data is processed using SPSS version 25 software. From the results of the data processing, it is obtained information that both partially and simultaneously learning achievement in productive subjects and career guidance have a positive and significant correlation to student work readiness. This can be interpreted that learning achievement in productive subjects and career guidance has a positive and significant contribution to vocational students 'job readiness or it can be said that learning achievement in productive subjects and career guidance functions as a contributing factor to students' job readiness.ABSTRAKRendahnya kesiapan kerja lulusan sekolah menengah kejuruan (SMK) merupakan masalah yang tak kunjung terselesaikan sampai saat ini, hal tersebut diindikasikan dengan rendahnya daya serap lulusan SMK secara nasional maupun regional. Kondisi demikian diduga ada kaitannya dengan prestasi belajar mata pelajaran produktif dan bimbingan karir yang masih lemah. Atas dasar hal tersebut peneliti bermaksud untuk melakukan investigasi dan menganalisis tentang kontribusi faktor prestasi belajar mata pelajaran produktif dan faktor bimbingan karier terhadap kesiapan kerja siswa SMK. Untuk hal tersebut penulis menggali data dari para siswa kelas XII Program Keahlian Otomatisasi dan Tata Kelola Perkantoran (OTKP) pada salah satu SMK di kota Bandung dengan menggunakan angket sebagai instrumen pengumpul datanya. Selanjutnya data tersebut diolah dengan menggunakan software SPSS versi 25. Dari hasil pengolahan data tersebut diperoleh informasi bahwa baik secara parsial maupun secara simultan prestasi belajar mata pelajaran produktif dan bimbingan karier berkorelasi positif dan signifikan terhadap kesiapan kerja siswa. Hal tersebut dapat diartikan bahwa prestasi belajar mata pelajaran produktif dan bimbingan karier berkontribusi positif dan signifikan terhadap kesiapan kerja siswa SMK atau dapat dikatakan bahwa prestasi belajar mata pelajaran produktif dan bimbingan karier berfungsi sebagai faktor kontributor kesiapan kerja siswa.
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Baskoro, Ringga Gilang. "Information Technology Strategic Plan Using Ward and Peppard Method (Case Study of the Diploma Program of IPB University)." Jurnal Penelitian Pos dan Informatika 9, no. 1 (October 1, 2019): 13–26. http://dx.doi.org/10.17933/jppi.v9i1.177.
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Vocational college Bogor Agricultural University (IPB) have utilized information technology (IT) to support business process. The problem is that existing information technology has not been effective in supporting the main business process. Data processing and information systems become one of the things that need to be improved. To apply information technology to align with the needs of business processes required a plan to minimize the occurrence of failure in the implementation phase. As the guidance and direction of IT Operation in each organization, IT Strategic Plan plays the very important role in organization. Many IT projects fail since there was no adequate IT planning. The stages of IS strategy formulation are performed based on Ward & Peppard framework. IS and IT strategic plan formulated in this study consist of some components such: application portfolio, IT management and architecture recommendation in Vocational college Bogor Agricultural University (IPB). This study results of IT strategic plan formulation for Vocational College Bogor Agricultural University (IPB).
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Chan, Agnes Wai Yan, Dickson K. W. Chiu, Kevin K. W. Ho, and Minhong Wang. "Information Needs of Vocational Training From Training Providers' Perspectives." International Journal of Systems and Service-Oriented Engineering 8, no. 4 (October 2018): 26–42. http://dx.doi.org/10.4018/ijssoe.2018100102.
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In a transition economy, there is an increasing need for vocational training and career counseling for workers to cope with changes in the job market. This study seeks to enhance career guidance services by means of an information and communication technology-based (ICT-based) career information and guidance system. Although electronic learning (e-learning) has received much attention from researchers in the recent decade, the number of studies on how to make use of ICT in helping individuals acquire relevant information and advice that supports a career change and development is relatively small. Undoubtedly, an effective ICT application will improve the efficiency and effectiveness of career decision processes and enhance the quality of counseling services that assist human development in a transition economy. The study aims at revealing the perspectives of training providers in offering counseling services to individuals, through an ICT-based career information and guidance system, prior to the enrollment of on-the-job training or retraining programs. Data collected through semi-structured interviews were analyzed based on a constructivist grounded theory approach. Findings from participants from five institutions showed positive views on the use of ICT-based means that enables the collaboration of career counselors, educators, and professionals from different industries for providing tailor-made career guidance services. Further, functional requirements of the system and potential factors influencing system acceptance were discussed.
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Baskoro, Ringga Gilang. "INFORMATION TECHNOLOGY STRATEGIC PLAN USING WARD AND PEPPARD METHOD (CASE STUDY DIPLOMA PROGRAM OF BOGOR AGRICULTURAL UNIVERSITY)." Jurnal Penelitian Pos dan Informatika 9, no. 1 (October 1, 2019): 13. http://dx.doi.org/10.17933/jppi.2019.090102.
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<span lang="EN-US">Vocational college Bogor Agricultural University (IPB) have utilized information technology (IT) to support business process. The problem is that existing information technology has not been effective in supporting the main business process. Data processing and information systems become one of the things that need to be improved. To apply information technology to align with the needs of business processes required a plan to minimize the occurrence of failure in the implementation phase. As the guidance and direction of IT Operation in each organization, IT Strategic Plan plays the very important role in organization. Many IT projects fail since there was no adequate IT planning. The stages of IS strategy formulation are performed based on Ward & Peppard framework. IS and IT strategic plan formulated in this study consist of some components such: application portfolio, IT management and architecture recommendation in Vocational college Bogor Agricultural University (IPB). This study results of IT strategic plan formulation for Vocational College Bogor Agricultural University (IPB).</span>
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Liu, Xing, Zhen Li, Jing Wang, and Jiankun Chu. "Research on the Efficiency of “Dual-Chain” Integration of Talent Chain and Industrial Chain of Vocational Education Based on Big Data Technology." Journal of Electrical and Computer Engineering 2022 (May 9, 2022): 1–12. http://dx.doi.org/10.1155/2022/8751815.
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Since China has implemented the policy of “dual-chain” integration of vocational education, the level of vocational education in China has been developed rapidly. In order to study the current efficiency of dual-chain integration of vocational education in China, taking 31 Chinese provinces and cities as examples, the DEA-BPNN calculation model is used to calculate the efficiency of Chinese vocational education from 2010 to 2019, and the results of the study show that although the development of vocational education in China has achieved certain results, the crude development mode, which is mainly based on the increase of investment, has not been fundamentally changed.
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Aubret, Jacques, and Carole Damiani. "Télématique, information et orientation. Analyse des questions et des réponses de deux messageries télématiques." L’Orientation scolaire et professionnelle 18, no. 2 (1989): 155–69. http://dx.doi.org/10.3406/binop.1989.1698.
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This study analyzes the impact of the growth of telematics on school and vocational guidance and information for young people. Two samples of questions and answers obtained from two electronic mail boxes were examined. The findings show that the users do not give much personal data or information on their school /career goals. The counselors' response strategies mostly consist of directing the user to other sources of information and advice. The Minitel (the French nationwide telephone terminal dataline) is currently more a "relay" than an interactive tool. Guidance counselors should be more involved in this relay.
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Faisal, Muhammad, Nurdin Nurdin, Fajriana Fajriana, and Zahratul Fitri. "Information and Communication Technology Competencies Clustering For Students For Vocational High School Students Using K-Means Clustering Algorithm." International Journal of Engineering, Science and Information Technology 2, no. 3 (October 18, 2022): 111–20. http://dx.doi.org/10.52088/ijesty.v2i3.318.
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The k-Means Clustering algorithm is intended to partition data into one or more groups, where data that has similarities in one group and data has differences in another. Information and Communication Technology (ICT) Competency data clustering in educational units is considered necessary to facilitate educational facilitation based on the differences in student abilities, determine advanced ICT guidance groups and become a reference in determining the place of Industrial Work Practices (Prakerin). This study aims to find out how the K-Means Clustering algorithm can be applied in clustering the ICT competencies of students at the State Vocational High School (SMK) 3 Lhokseumawe. The benefits generated in this study are in the form of visualization of data clustering that can help teachers and school management in formulating ICT policies at SMKN 3 Lhokseumawe. The data used in this study is the Information and Communication Technology (ICT) competency test score data for the 2021/2022 academic year. The data was obtained through a competency test process that refers to the Minister of Education and Culture Regulation Number 45 of 2015 concerning the Role of ICT/KKPI Teachers in the Implementation of the 2013 Curriculum where ICT competence includes the skills to search, store, process, present and disseminate data and information. Data processing in this study uses the K-means Clustering method and the RapidMiner application. Data processing using the RapidMiner application starts with data preparation, determining the number of clusters, and configuring the method. This study uses 3 (three) cluster configurations, namely the Very Competent, Competent, and Less Competent clusters. Testing data processing using the RapidMiner application resulted in 80 (eighty) students in cluster_0 with a Very Competent rating, 64 (sixty-four) students in cluster_1 with a Competent rating, and 10 (ten) students in cluster_2 with a Less Competent rating.
11
Zubrilin, Andrej, Viktoriya Rybkina, and Anna Pronchatova. "Distance Olympiads in the organization of joint vocational guidance work of the school and the university." Profession-Oriented School 10, no. 4 (September 22, 2022): 20–28. http://dx.doi.org/10.12737/1998-0744-2022-10-4-20-28.
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The article shows how using network technologies, in particular the electronic distance learning system (LMS) Moodle, you can build career guidance among schoolchildren, involving them in a conscious choice of a profession in the field of IT technologies (information security specialist, data protection specialist, cryptographer). Some Russian educational Internet platforms are considered, designed to help school graduates decide on their future professional activities. The ways of vocational guidance work at school are shown, which can be implemented both during school hours and after school hours. It proposes its own approach to this type of activity through the involvement of schoolchildren in distance Olympiads. A specific example reveals the technology for the development and implementation of distance Olympiads. The three-year experience of preparing distance Olympiads on the basis of the university is described.
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Hendrawan, Eko, Suhendro Yusuf Irianto, and Fitria Fitria. "MEASUREMENT OF ELECTRONIC LEARNING PERFORMANCE USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) METHOD AT THE VOCATIONAL SCHOOL OF PATRIA GADINGREJO." Jurnal TAM (Technology Acceptance Model) 12, no. 1 (June 27, 2021): 48. http://dx.doi.org/10.56327/jurnaltam.v12i1.1029.
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The application of electronic learning is carried out in the learning process at Patria Gadingrejo Vocational School to determine the factors that are still weak or require improvement and the factors that are considered successful or strong in assisting the application of electronic learning in the learning process. This study results in Aydin and Tasci's ELR model questionnaire consisting of 37 statements grouped into four factors. These factors are human, self-development, technology, and innovation as well as six questions for the perception of the usefulness of electronic learning. The location of this research is at Patria Gadingrejo Vocational School. Respondents in this study were the principal, vice principal of the curriculum section, the school treasurer, the person in charge of the school computer laboratory, and teachers who are experts in e-learning. Data processing is carried out to examine the factors that influence the perceived usefulness of e-learning by using regression analysis and also the level of readiness for the application of electronic learning at Patria Gadingrejo Vocational School with Aydin and Tasci's ELR model. Aydin & Tasci's electronic learning readiness (ELR) model applied to Patria Gadingrejo Vocational School gives results that are not ready for the application of electronic learning and requires a slight improvement.
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Wang, Bin, Genutė Gedvilienė, Hongfeng Li, and XinYue Wang. "The Implementation of Network Big Data on Vocational College Teacher Training Strategy." Wireless Communications and Mobile Computing 2022 (June 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/5485498.
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Teachers’ teaching level and teaching philosophy have an important impact on students. As the country pays more and more attention to education, the relevant level of teachers also needs to be continuously improved. Training for teachers is one of the important ways to improve teachers’ level. Although the strategy of training teachers in vocational colleges has a long history, there is no analysis of its implementation. With the popularity of the Internet of Things, lives are full of data information and data, and the field of education and training is no exception. Network big data refers to a collection of data that cannot be captured by conventional software tools within a certain time frame. It is an information asset that requires new processing modes to have stronger decision-making, insight, and process optimization capabilities. This paper aims to study the analysis of network big data on the implementation of teacher training policies in vocational colleges. It is expected that with the support of network big data, the implementation of vocational teachers’ training policies will be analyzed, and the implementation effects of relevant policies will be explored, so as to help teachers improve their professional abilities and promote the development of the education industry. In a broad sense, the implementation of educational strategy refers to the identification, construction, and termination of educational policies. Educational strategy in a narrow sense refers specifically to the educational strategy, educational setting plan, educational budget, and educational plan formulated by the competent educational authority. From the perspective of career management, this paper briefly analyzes the situation of teachers participating in training in vocational colleges and reexamines the connotation of current higher vocational teacher training. It takes the teacher training of vocational colleges as the content and makes a brief analysis of the relevant situations, attitudes, and achievements in the process of teacher training by means of a questionnaire survey. The results showed that the largest number of teachers who participated in the training received scores between 80 and 100 points, indicating that the implementation of training policies is in place; the proportion of schools that attach importance to teacher training is as high as 80%, indicating that the environment for strategy implementation is better.
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Yan, Yuzhong, and Cajetan M. Akujuobi. "A Review of Graph Signal Processing with Neural Networks." International Journal of Circuits, Systems and Signal Processing 16 (February 25, 2022): 741–46. http://dx.doi.org/10.46300/9106.2022.16.91.
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In this paper, we review the development of the traditional graph signal processing methodology, and the recent research areas that are applying graph neural networks on graph data. For the popular topics on processing the graph data with neural networks, the main models/frameworks, dataset and applications are discussed in details. Some challenges and open problems are provided, which serve as the guidance for future research directions.
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Wang, Zongyuan, and Apollo A.Endrano. "Effectiveness of Vocational Education in Weifang City,China." Journal of Education, Humanities and Social Sciences 22 (November 26, 2023): 799–804. http://dx.doi.org/10.54097/ehss.v22i.14219.
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Weifang City is located in the eastern part of Shandong Province, China and is an important industrial city. Weifang City has multiple vocational education institutions. Many vocational colleges rank high in China. These colleges typically provide vocational skills training in various fields, including manufacturing, automotive maintenance, mechanical processing, electronic technology, hotel management, and nursing. The necessity of studying Weifang vocational education involves meeting market demand, improving labor quality, promoting innovation and entrepreneurship, and promoting social stability. As a provincial and municipal demonstration zone for the innovative development of vocational education in Shandong Province, it is also a representative of Shandong vocational education. Therefore, the main research object of this article is the vocational education in Weifang City, and Weifang Vocational College is the main development battlefield of Weifang Vocational Education. This article conducts research on vocational education issues, collects relevant data on vocational education, analyzes the problems existing in vocational education, and provides feasible opinion support for the development of vocational education. The significance of studying Weifang vocational education lies in a deep understanding of the current situation, problems, and development trends of vocational education in the region, providing useful references for improving and optimizing the vocational education system and enhancing the quality of talent cultivation. Promoting the matching of talent cultivation and employment needs, solving the problem of talent shortage, promoting industrial upgrading and innovative development, and improving the professional quality and quality of life of residents are of great significance. Vocational education requires the cooperation of the government, educational institutions, industry, and research institutions to jointly promote the development and optimization of vocational education.
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Et. al., Rafael Wilfredo Rojas Bujaico,. "Neural Network for Vocational Guidance Based on The Applicant's Profile For Admission To A Study Program." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 10 (April 28, 2021): 4858–68. http://dx.doi.org/10.17762/turcomat.v12i10.5246.
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The vocational orientation tests are currently oriented to established principles and methods, where the applicant identifies his competencies to choose his professional career, the model of university accreditation in its standard 18 reference on the admission to the program of studies and that must be in accordance with the profile of income raised by each program of studies. Artificial intelligence has become necessary through its techniques in the solution of some problems of human behavior simulated through electronic and digital media, so the objective of this research was to develop a neural network based on vocational guidance from the profile of income to ensure that the applicant knows his competencies towards a study program. For this case, it is considered the knowledge, skills and attitudes raised by the program of studies. This neural network considered in 3 incoming axons, 6 hidden layers and one outgoing axon, each nucleus considers sigmoidal activation functions while, for the backpropagation algorithm, functional derivatives of second level have been used, obtaining results with an accuracy of 0.996 correlation with respect to the real data and a constant variance between the tests of 0.01, guaranteeing its use to automate01, guaranteeing its use for automation. Data collection has been done through surveys based on a transversal non-experimental research design and using the applied correlational research level.
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Sun, Xiaokang, Xiangshu Huang, Hui Yu, and Xirui Liu. "Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education." Journal of Electrical and Computer Engineering 2022 (June 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/4348613.
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As a public basic course in the system of higher vocational colleges, mathematics has received more and more attention from education administrators. However, there are still problems in higher education that mathematics teaching resources are scatter and data are difficult to integrate. Big data (DT) and smart clouds are the burgeon of intelligent technology, which has provided support for teaching informatization and teaching data integration in colleges and universities. This article aims to solve the problems of mathematics teaching in higher vocational education, such as more content and less class hours, difficult, higher vocational education due to the expansion of enrollment, and the decline in mathematics teaching quality, and build a smart cloud platform based on big data mathematics instructing environment system and mathematics wisdom instructing. The reconstruction of the environment is the deep integration of information technology and mathematics instructing, which can promote the deep integration of information technology with teaching, management, and environment. The experiments in this article show that the application of the smart cloud platform to mathematics teaching can greatly increase students' enthusiasm for learning and improve the school's mathematics teaching level, and the improvement rate of students' performance can reach 99.89%. The research in this article is of great significance to the adjustment of mathematics teaching environment in higher professional education.
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Lin, Chun-Yi, Zhao Xi, Chaomin Gao, and Sang-Bing Tsai. "Research on the Training Model of E-Commerce Professionals Based on Big Data Analysis." Wireless Communications and Mobile Computing 2021 (November 10, 2021): 1–9. http://dx.doi.org/10.1155/2021/2030991.
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In a new era of booming information technology, E-commerce has become an important developing country in China, and parents and students have gradually welcomed this profession. In the information age, how to improve the quality of training in professional higher education and then meet the employment needs of industries and enterprises has become a key issue for higher vocational education in China. This article mainly studies the E-commerce professional talent training model based on identity inheritance. This article analyzes the current situation of E-commerce talent training, combines pragmatism, and proposes strategies for training talented E-commerce experts in underdeveloped western regions. The theory of business talent development has certain theoretical significance for guiding and promoting electronic trade and socioeconomic development. The research in this article shows that despite a large number of international trade graduates every year, the electronic trading group (70.1%) is still international trade, and 85.9% of companies still believe that there is a gap between transnational E-commerce traders. In order to “effectively connect” the training of E-commerce talents in higher vocational education and social needs, it is necessary to take the needs of industrial development as the driving force and market demand as the guidance and take practical measures to improve the school-enterprise matching. The distance between talents ultimately promotes professional construction and talent training and achieves a win-win situation for both schools and enterprises.
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Yazdankhoo, Sogol, Marzieh Dehghani, and Keyvan Salehi. "A Mixed-Method in Identifying the Harms of Educational-Vocational Guidance Process Students and Graduates of the University of Tehran." Quarterly Journal of Research and Planning in Higher Education 29, no. 2 (2023): 87–114. http://dx.doi.org/10.61838/irphe.29.2.5.
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The present study aimed to identify the harms of the educational-vocational guidance of students of University of Tehran with a mixed-methods approach. In the first part the level of academic major satisfaction was compared with a quantitative approach which was applied in terms of purpose and a descriptive survey in terms of method. The population of the study included all bachelor, master and doctoral students of the University of Tehran in four departments of engineering, experimental sciences, humanities and basic sciences that a sample was selected by non-randomly convenience strategies with a volume of 361 people who answered the Nauta’s Academic Major Satisfaction questionnaire. The results showed that there is no significant difference between academic major satisfaction according to the variables of gender, grade and having the experience of changing major. However, there was a significant difference between students studying in different semesters and departments. The second part was conducted with a qualitative approach using phenomenological method in order to identify the negative consequences of undesirable educational-vocational guidance and the ways of facing with consequences. Research data were collected by semi-structured interviews with 25 students and graduates of University of Tehran who were selected by purposeful method. Findings showed that the negative consequences were classified into 25 sub-themes and six general themes of educational, psychological, family, economic, individual-social and physical consequences. Moreover, by extracting 11 sub-themes, it was shown that individuals did a variety of activities, including academic, social, vocational, adaptive and coping activities in order to reduce the consequences.
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El-Sayed, Hesham, Gokulnath Thandavarayan, and Yasser Hawas. "A Cost Effective Route Guidance Method for Urban Areas Using Histograms." Wireless Communications and Mobile Computing 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4507352.
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Analysing shortest path for real time traffic environment is crucial with dynamic updating. VANET technology can be used for analysing traffic but generates a huge amount of data to be exchanged, which demands more processing power and resources. In this paper, a new histogram-based route guidance algorithm (HBA) has been proposed based on light weight processing. The proposed algorithm enables selecting the shortest path between any source and destination using the histogram models, which capture the higher order distribution function of the number vehicles in every lane. Furthermore, the histogram model is used to estimate the traffic delays at intersections and roundabouts. The data entity collection through sensors used for histogram modelling is presented in detail. The experimental results show that the proposed algorithm provides a good prediction of road traffic status and a better solution for the congestion problem in the urban areas.
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Koko Handoko, Wasiman Wasiman, and Pastima Simanjuntak. "PEMBINAAN TEKNOLOGI INFORMASI DAN SISTEM OPERASIONAL BANK SYARIAH." PUAN INDONESIA 3, no. 2 (January 14, 2022): 155–60. http://dx.doi.org/10.37296/jpi.v3i2.73.
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Information technology is a knowledge that is always evolving from tools or communication which is a delivery of information through rapid communications, which relates to information problems in terms of all aspects ranging from data collection, data storage, data processing from information to the process of delivering information to people who need it. The purpose of fostering information technology and healthy internet use is an educational process by providing sufficient understanding of the current latest technology and being educated with the Islamic bank operating system, the owner of the fund invests his money so he can earn interest from the bank. If the profit sharing from the customer's funds is then distributed to those in need (eg venture capital), with a profit sharing agreement according to the agreement. Guidance on the Development of Information Technology and Bank Sariah Operational Systems at the Vocational High School Nang Nadim Batam to find out how to use good information technology and know the operating system of the Sariah bank. With this coaching, it is hoped that students will be helped in understanding the service that was carried out on January 15 and 16, 2019 at SMK Hang Nadim Batu Aji, Batam City.
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Kashfrazyeva, Gulnara K., and Sergey A. Sedov. "Evaluation of future technology teachers’ readiness for anticipatory vocational training of schoolchildren." Perspectives of Science and Education 59, no. 5 (November 1, 2022): 186–99. http://dx.doi.org/10.32744/pse.2022.5.11.
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Introduction. Professional self-identification of schoolchildren on the 5th-9th years of training should be attributed mainly to the result of technology teacher’s career guidance work. However, the due training of technology teachers themselves in this domain is not paid enough attention to in the theory and practice of higher educational establishments. The focus of the present publication is assessment of such readiness in students – future technology teachers – and development of recommendations for higher educational system on the basis of the obtained results. The purpose of this study is the evolution of future technology teachers’ readiness for anticipatory vocational training of schoolchildren. Materials and methods. The questioning involved 120 respondents, future technology teachers (3rd-5th year students trained under the programme of higher pedagogical education in the profile “Technology”) from 5 state universities of Moscow, St. Petersburg, Novosibirsk, Nizhny Novgorod and Kazan (Russian Federation). The original questionnaires were developed with the use of Google Forms tools. The statistical data processing method was Pearson’s chi-square test. The research was based on the application of theoretical methods: analysis (relative to the semantics of the concept “teacher’s readiness for advanced vocational training of a schoolchild”), synthesis (essential categorial characteristics of teacher’s readiness for anticipatory vocational training of schoolchildren), comparison (theory and practice in higher education system), specification (key provisions), modelling. Results. A total of 92% of the 3rd-5th year students are aware of the need for anticipatory vocational training of schoolchildren. At the same time, only 66% of the respondents (from 50% on the 3rd year to 75% on the 4th-5th year) consider themselves ready for such schooling. The analysis of the questioning results of students who answered in a different way made it possible to reveal the causes of educational deficiency. These reasons were interpreted as components of the work offered by us for the university system for integration into the programme of higher pedagogical education in the profile “Technology”. On the 4th-5th year students feel ready for advanced vocational training (p<0.01). Conclusion. Students’ – future technology teachers’ self-assessment of readiness for anticipatory vocational training of schoolchildren made it possible, on the one hand, to affirm the formation of such readiness as a pedagogical problem and, on the other hand, to identify the growing points for elimination of the identified educational deficiency in the higher education system.
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Yahupov, V., S. Maslich, and T. Shchypska. "THE USE OF SMART-COMPLEXES IN TRAINING OF FUTURE TOURIST INDUSTRY SPECIALISTS." Zhytomyr Ivan Franko state university journal. Рedagogical sciences, no. 1(108) (June 7, 2022): 251–68. http://dx.doi.org/10.35433/pedagogy.1(108).2022.251-268.
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The article analyzes the impact of information technology on the development of education. It is noted that the issues of informatization and digitalization of education are one of the key in the state policy of Ukraine. The main aspects of the transformation of educational services are emphasized, it is noted that education based on SMART-technologies is a global trend in the organization of the educational process. The existence of existing problems in the formation of a modern information and educational environment, the creation of electronic learning tools, the development of SMART-complexes. It is noted that these issues are especially relevant for Vocational Education.
The experience of development and use of SMART-complexes in the training of future specialists in the tourism industry is described. The compliance of the developed SMART-complex with the Standard of Vocational Eeducation 4221.N.79.00-2017 in the profession "Agent for the organization of tourism" was traced. The structure of the SMART-complex is described in detail, the characteristic features of separate modules are allocated and described: "Information data processing in the tourist branch", "Organization of tourist activity", "Organization of transport transportations". It is indicated that these modules, in addition to the block of theoretical material, contain blocks of laboratory (practical) work, blocks of test tasks, glossaries, presentations. The expediency of using the developed SMART-complex during the organization of the educational process by distance learning and in blended learning is proved. The effectiveness of the use of this complex in the educational process of Vinnytsia High Vocational School of Public Service is determined, namely: data on the growth of high and sufficient level of knowledge of students in vocational and theoretical and vocational training, emphasis on high percentage of information, emphasis is placed on the dynamics of motivating students to learn, the development of cognitive interest.
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Zhang, Jian Qiang, Hou Xiang Wang, and Hong Mei Yang. "Anti-Ship Missile Attack-Defense Confrontation Ability Verification Technology Based on Simulation." Advanced Materials Research 1049-1050 (October 2014): 1227–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1227.
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A detailed study on modeling and simulation of anti-ship missile terminal guidance radar whole work process, such as target echo, environmental clutter, electronic jamming ,signal processing and data processing etc, is made in this paper.On this basis, an anti-ship missile attack-defense confrontation simulation system is developed to realize the verification of anti-ship missile attack-defense confrontation ability. The application of this simulation system proves that the efficiency of the military training is improved and the cost of training is cut down.
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Sai, Hesin, and Yoshikuni Okawa. "Structured Sign for Guidance of Mobile Robot." Journal of Robotics and Mechatronics 3, no. 5 (October 20, 1991): 379–86. http://dx.doi.org/10.20965/jrm.1991.p0379.
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As part of a guidance system for mobile robots operating on a wide and flat floor, such as an ordinary factory or a gymnasium, we have proposed a special-purpose sign. It consists of a cylinder, with four slits, and a fluorescent light, which is placed on the axis of the cylinder. Two of the slits are parallel to each other, and the other two are angled. A robot obtains an image of the sign with a TV camera. After thresholding, we have four bright sets of pixels which correspond to the four slits of the cylinder. We compute by measuring the relative distances between the four points, the distance and the angle to the direction of the sign can be computed using simple geometrical equations. Using a personal computer with an image processing capability, we have investigated the accuracy of the proposed position identification method and compared the experimental results against the theoretical analysis of measured error. The data shows good coincidence between the analysis and the experiments. Finally, we have built a movable robot, which has three microprocessors and a TV camera, and performed several control experiments for trajectory following.
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Mushthofa, Ahmad, Muhammad Amin Khizbullah, and Reza Aditya Ramadhani. "Peran Kepala Sekolah dalam Pengembangan Karakter Siswa Berbasis Profesionalisme Guru." Southeast Asian Journal of Islamic Education Management 3, no. 1 (February 15, 2022): 35–44. http://dx.doi.org/10.21154/sajiem.v3i1.81.
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Abstract Education is not only focused on the intellectual factors that a person has while studying but also must be integrated with other factors such as attitudes, behavior, and character. With this, the article describes the role of the principal at SMK Cendekia Madiun in developing professional teachers in the educational process who can improve student character. The data collection technique used is interviews. Data processing and analysis techniques through data reduction, data presentation, and drawing conclusions. The role of school principals in improving teacher professionalism at Cendekia Vocational Schools by empowering teachers is manifested in IHT (in House Training) activities, KKG (Teacher Working Group) or MGMP (Subject Teacher Consultations) activities and directing teachers to set good examples, provide guidance, direction, holding character development, extra-curricular and religious activities. As well as creating new activities in the form of planting vegetables and raising catfish which are divided into each class. In addition, SMK Cendekia Madiun holds character development activities that instill the character of students who are honest, disciplined, independent, creative, love the homeland, democratic attitude, hard work, love to read, care for the environment, social care, religious, sense of responsibility, and especially according to the school's vision and mission that can develop students who are skilled, competitive, have faith and fear God Almighty. Keywords: Principal, Student Character, Teacher Professionalism
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Peng, Jing, and Marilyn W. Macwes. "Automated Optimization Deep Learning Model for Assessment and Guidance System Through Natural Language Processing with Reduction of Anxiety Among Students." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 6 (July 30, 2023): 291–304. http://dx.doi.org/10.17762/ijritcc.v11i6.7719.
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The Assisted Assessment and Guidance System serves as a valuable tool in supporting individuals' learning, growth, and development. The Assisted Assessment and Guidance System with Natural Language Processing (NLP) is an innovative software application designed to provide personalized and intelligent support for assessment and guidance processes in various domains. NLP techniques are employed to analyze and understand human language, allowing the system to extract valuable insights from text-based data and provide tailored feedback and guidance. This paper proposed an Integrated Optimization Directional Clustering Classification (IODCc) for assessment of the foreign language anxiety. Additionally, the paper introduces an Integrated Optimization Directional Clustering Classification (IODCc) approach for assessing foreign language anxiety. This approach incorporates two optimization models, namely Black Widow Optimization (BWO) and Seahorse Optimization (SHO). BWO and SHO are metaheuristic optimization algorithms that simulate the behaviors of black widow spiders and seahorses, respectively, to improve the accuracy of the assessment process. The integration of these optimization models within the IODCc approach aims to enhance the accuracy and effectiveness of the foreign language anxiety assessment. Simulation analysis is performed for the data collected from the 1000 foreign language students. The experimental analysis expressed that the proposed IODCc model achieves an accuracy of 99% for the classification. The findings suggested that through pre-training of languages, the anxiety of the students will be reduced.
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Hasan, Jamal, Mochamad Alfan Rosid, Ade Eviyanti, and Hamzah Setiawan. "Web-Based E-Tatib Information System Case Study at State Vocational High School 1 Jabon Sidoarjo Sistem Informasi E-Tatib Berbasis Web Studi Kasus di SMK Negeri 1 Jabon Sidoarjo." Journal for Technology and Science 1, no. 1 (April 1, 2024): 132–44. http://dx.doi.org/10.61796/ipteks.v1i1.96.
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This research was conducted because the need for an increasingly stringent Standard Operating Procedure (SOP) in the industrial world. With the existence of SOPs in the world of education industry, of course, they have to match the needs according to existing standards. SMK Negeri 1 Jabon Sidoarjo formed a Team of Rules (Tatib) which implemented SOPs in accordance with Industrial World standards. Handling related to Tatib is still done manually using a book. Of course, with manual recording, efficiency in processing time and reporting is constrained if needed in a short time. The recording process begins with the admin entering the master data required by the information system, then the teacher enters the recording of student violations. The final process for the Counseling Guidance (BK) team can see the number of range points that have been stored and will then make reports outside the information system. That way the process makes the work of the BK team more accurate and faster
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Голованова, О. В., А. А. Солдатов, А. В. Солдатов, and Л. П. Ипатова. "Sociological monitoring of vocational guidance preferences of future applicants as an element of management of the formation of the shipbuilding educational infrastructure." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII), no. 4(50) (November 23, 2020): 189–94. http://dx.doi.org/10.37220/mit.2020.50.4.062.
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В работе рассматриваются профориентационные предпочтения старшеклассников Санкт-Петербурга и Ленинградской области с целью создания более эффективного управления формированием инфраструктуры вузов РФ, готовящих кадры для судостроительной промышленности. Социологический мониторинг осуществлялся силами социологической лаборатории, межвузовского центра по образованию в области истории и философии науки и техники, с привлечением бакалавров и магистров кафедры философии и социологии морского технического университета. Для большей эффективности исследования при обработке социологических данных использовались методы многомерного статистического анализа и k-групповых средних. В ходе работы было подтверждено, что для более эффективного привлечения абитуриентов вузам судостроительного профиля необходимо сохранять, поддерживать и развивать многообразие направлений подготовки, включая и гуманитарные, с упором на собственно судостроительные специальности. Для сохранения контингента обучающихся и привлечения новых необходимо также развивать систему дополнительного образования. The article considers the vocational guidance preferences of senior students in St. Petersburg and Leningrad region in order to create a more effective management of infrastructure formation of universities of the Russian Federation training personnel for the shipbuilding industry. The sociological monitoring was carried out by the sociological laboratory and the interuniversity centre for education in the field of history and phylosophy of science and technology with the involvement of bachelors and masters students of the department of phylosophy and sociology at St. Petersburg State Marine Technical University. To make the research more effective the methods of multivariable statistical analysis were used for processing of sociological data and k-group averages. In the course of research, it was confirmed that for more effective attraction of applicants to the university of shipbuilding profile it is necessary to preserve, maintain and develop a variety of training directions including humanities with an emphasis on the actual shipbuilding specialties. To maintain the number of trainees and attract new ones it is also necessary to develop a system of the additional education.
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Liu, Guan-Chen, and Chih-Hsiang Ko. "Visual Communication Design and Wireless Data Transmission Technology for Blockchain Big Data Information Presentation." Wireless Communications and Mobile Computing 2022 (February 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/1380387.
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The present work is aimed at solving the difficulty of BC big data information analysis and the defects of traditional BC platform visual interface (VI), such as nonstandard layout, unreasonable color use, unclear guidance, and increased user learning cost. Firstly, this paper expounds on BC technology, the related theory of information visualization (IV), and the IV design method of BC-generated big data. Secondly, by formulating the user experience design strategy, a big data visual information sharing platform (ISP) based on behavior experience (BE) is designed. Finally, the system performance is tested. The results show that (i) the proposed BE-based big data visual ISP has the basic functions of information query and module jump. The overall interface of the platform is simple and tidy, the information layout is reasonable, the presentation method is more intuitive, and the visual effect is better. (ii) The host throughput of each system module when processing business is greater than 100 times/s, and the success rate (SR) of event handling is greater than 99%. The average response time (RT) of terminal processing is less than 0.3 s, and the average RT of the terminal side is less than 0.4 s. The system’s central processing unit (CPU) occupancy rate (OR) shall be controlled below 30%. The memory OR shall be below 30%, both of which are lower than the standard value, and the system performance meets the standard. To sum up, the proposed ISP has basic functions and ensures good operation performance. It is suitable for the IV of BC-generated big data. The purpose is to provide important technical support for the IV of BC-generated big data and improve the efficiency of users’ data information acquisition and analysis.
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Peng, Shilin, Jingbiao Liu, Junhao Wu, Chong Li, Benkun Liu, Wenyu Cai, and Haibin Yu. "A Low-Cost Electromagnetic Docking Guidance System for Micro Autonomous Underwater Vehicles." Sensors 19, no. 3 (February 7, 2019): 682. http://dx.doi.org/10.3390/s19030682.
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As important observational platforms for the Smart Ocean concept, autonomous underwater vehicles (AUVs) that perform long-term observation in fleets are beneficial because they provide large-scale sampling data with a sufficient spatiotemporal resolution. Therefore, a large number of low-cost micro AUVs with docking capability for power recharge and data transmission are essential. This study designed a low-cost electromagnetic docking guidance (EMDG) system for micro AUVs. The EMDG system is composed of a transmitter coil located on the dock and a three-axial search coil magnetometer acting as a receiver. The search coil magnetometer was optimized for small sizes while maintaining sufficient sensitivity. The signal conditioning and processing subsystem was designed to calculate the deflection angle (β) for docking guidance. Underwater docking tests showed that the system can detect the electromagnetic signal and successfully guide AUV docking. The AUV can still perform docking in extreme positions, which cannot be realized through normal optical or acoustic guidance. This study is the first to focus on the EM guidance system for low-cost micro AUVs. The search coil sensor in the AUV is inexpensive and compact so that the system can be equipped on a wide range of AUVs.
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Zou, Fumin, Qiang Ren, Junshan Tian, Feng Guo, Shibin Huang, Lyuchao Liao, and Jinshan Wu. "Expressway Speed Prediction Based on Electronic Toll Collection Data." Electronics 11, no. 10 (May 18, 2022): 1613. http://dx.doi.org/10.3390/electronics11101613.
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Expressway section speed can visually reflect the section operation condition, and accurate short time section speed prediction has a wide range of applications in path planning and traffic guidance. However, existing expressway speed prediction data have defects, such as sparse density and incomplete object challenges. Thus, this paper proposes a framework for a combined expressway traffic speed prediction model based on wavelet transform and spatial-temporal graph convolutional network (WSTGCN) of the Electronic Toll Collection (ETC) gantry transaction data. First, the framework pre-processes the ETC gantry transaction data to construct the section speeds. Then wavelet decomposition and single-branch reconstruction are performed on the section speed sequences, and the spatial features are captured by graph convolutional network (GCN) for each reconstructed single-branch sequence, and the temporal features are extracted by connecting the gated recurrent unit (GRU). The experiments use the ETC gantry transaction data of the expressway from Quanzhou to Xiamen. The results indicate that the WSTGCN model makes notable improvements compared to the model of the baseline for different prediction ranges.
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Hribar, Michelle R., Sarah Read-Brown, Isaac H. Goldstein, Leah G. Reznick, Lorinna Lombardi, Mansi Parikh, Winston Chamberlain, and Michael F. Chiang. "Secondary use of electronic health record data for clinical workflow analysis." Journal of the American Medical Informatics Association 25, no. 1 (September 26, 2017): 40–46. http://dx.doi.org/10.1093/jamia/ocx098.
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Abstract Objective Outpatient clinics lack guidance for tackling modern efficiency and productivity demands. Workflow studies require large amounts of timing data that are prohibitively expensive to collect through observation or tracking devices. Electronic health records (EHRs) contain a vast amount of timing data – timestamps collected during regular use – that can be mapped to workflow steps. This study validates using EHR timestamp data to predict outpatient ophthalmology clinic workflow timings at Oregon Health and Science University and demonstrates their usefulness in 3 different studies. Materials and Methods Four outpatient ophthalmology clinics were observed to determine their workflows and to time each workflow step. EHR timestamps were mapped to the workflow steps and validated against the observed timings. Results The EHR timestamp analysis produced times that were within 3 min of the observed times for >80% of the appointments. EHR use patterns affected the accuracy of using EHR timestamps to predict workflow times. Discussion EHR timestamps provided a reasonable approximation of workflow and can be used for workflow studies. They can be used to create simulation models, analyze EHR use, and quantify the impact of trainees on workflow. Conclusion The secondary use of EHR timestamp data is a valuable resource for clinical workflow studies. Sample timestamp data files and algorithms for processing them are provided and can be used as a template for more studies in other clinical specialties and settings.
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Farooq, Junaid, and Mohammad Abid Bazaz. "Hybrid Deep Neural Network for Data Driven Missile Guidance with Maneuvering Target." Defence Science Journal 73, no. 5 (August 31, 2023): 602–11. http://dx.doi.org/10.14429/dsj.73.18481.
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Missile guidance, owing to highly complex and non-linear relative movement between the missile and its target, is a challenging problem. This is further aggravated in case of a maneuvering target which changes its own flight path while attempting to escape the incoming missile. In this study, to achieve computationally superior and accurate missile guidance, a deep learning is employed to propose a self-tuning technique for a fractional-order proportional integral derivative (FOPID) controller of a radar-guided missile chasing an intelligently maneuvering target. A multi-layer two-dimensional architecture is proposed for a deep neural network that combines the prediction feature of recurrent neural networks and estimation feature of feed-forward artificial neural networks. The proposed deep learning based missile guidance scheme is non-intrusive, data-based, and model-free wherein the parameters are optimized on-the-run while predicting the target’s maneuvering tactics to correct for processing time and loop delays of the system. Using deep learning for online optimization with minimal computational burden is the core feature of the proposed technique. Dual-core parallel simulations of missile-target dynamics and the control system were performed to demonstrate superiority of the proposed scheme in feasibility, adaptability, and the ability to effectively minimize the miss-distance in comparison with traditional and neural offline-tuned PID and FOPID based techniques. Compared to state-of-the-art offline-tuned neural control, the miss-distance was reduced by 68.42% for randomly maneuvering targets. Furthermore, a minimum miss-distance of 0.97 m was achieved for intelligently maneuvering targets for which the state-of-the-art method failed to hit the target. Overall, the proposed technique offers a novel approach for addressing the challenges of missile guidance in a computationally efficient and effective manner.
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Qin, Ke. "Design of University Educational Administration Management System Based on Sensor Data and Multidimensional Information Fusion." Wireless Communications and Mobile Computing 2022 (August 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/6708033.
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With the rapid development of education informatization, especially the promotion and reengineering of education business processes by big data and artificial intelligence, how to participate in this major change is the main issue that needs to be considered. Therefore, under the guidance of multisource sensor data fusion technology, this paper adopts the traditional cloud computing operation method, that is, centralized data center processing, which is difficult to adapt to the rapidly expanding data scale. We also propose a new perceptual adaptive data processing method. By designing an edge node adaptive data type sensing mechanism based on counting bloom filter, we can automatically identify the ubiquitous University Internet of things data categories and corresponding fields. The simulation results show that this method improves the recognition accuracy of different data categories in university management by more than 1.3%, which can help teachers use educational technology to do well in the teaching work before, during and after class, and promote the practical application of new teaching modes such as inquiry teaching.
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Computer Engineering, Journal of Electrical and. "Retracted: Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education." Journal of Electrical and Computer Engineering 2023 (August 16, 2023): 1. http://dx.doi.org/10.1155/2023/9898540.
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Liu, Shuyuan. "Fit of Professional Setting and Regional Industrial Structure of Financial Colleges in the Greater Bay Area from Industry-Education Integration." Wireless Communications and Mobile Computing 2022 (January 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/2058438.
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Promoting the initiative and subjectivity of the two main bodies of schools and enterprises, as well as fully exploiting their synergy in practice, is a necessary prerequisite for reflecting the benefits of school-enterprise integration, and without it, China’s vocational education cannot improve the quality of professional and technical personnel training. Simultaneously, it allows for high-level economic and social development. This is also the focus and challenge of current vocational and technical education reform and innovation. We discovered that the integration of industry and education, as well as school-enterprise cooperation, has made significant progress in City C’s higher vocational colleges through questionnaire surveys and on-site interviews: the cooperation mechanism has been steadily established and innovated, the talent joint training model is diverse; the level of cooperation between the two parties has been continuously improved; the benefits of enterprise cooperation are complementary, and s The current situation is “schools are hot and enterprises are hot,” and both supply and demand are booming, contrary to the empirical view that the education industry integrates “schools are hot and enterprises are cold.” The engineering talent training industry-education integration collaboration model is to establish and combine multiple case studies to illustrate its application scenarios, and then propose the characteristics of the collaboration model and the level analysis of the collaboration elements based on different systems, dynamics, and dynamic training models. This study collects data through questionnaire surveys and investigates the synergistic elements using the fs QCA empirical analysis method. These synergistic elements can help the integration project be more effective. Reproducible guidance is provided by various types of integration projects. Finally, in light of the current state of talent training in the integration of production and education, this research suggests three countermeasures: government optimization of top-level design, hierarchical implementation of the collaborative main model, and project implementation scope to coordinate school and enterprise path selection.
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Handayani, Peni, Trisno Yuwono Putro, Edi Rakhman, and Su Jo -Ching. "Learning Outcomes Mapping of the Three Year-Electronic Engineering Diploma in Level-5 Professional Expertise of the National Qualification Framework." Jurnal Pendidikan Teknologi dan Kejuruan 24, no. 1 (April 17, 2018): 102–15. http://dx.doi.org/10.21831/jptk.v24i1.18186.
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The issue of enhancing national competitiveness, in ASEAN, has been strengthened since the establishment of ASEAN Economic Community in 2015. The recognition of graduate competence becomes very crucial for this era. Polytechnic as vocational higher education needs to prepare its graduates in order to compete in the job market, such as through professional certification. This study aimed at mapping the learning outcomes among graduates of the three year - diploma in Electronic Engineering in Polytechnic of Instrumentation and Electronic Control System on professional qualification based on level-5 Indonesian National Qualifications Framework Curriculum and Indonesia Industrial Standard Classification 2015. This study used a qualitative method. Data were collected through observation and interviews of the competent persons to provide related research data. The results showed that the learning outcomes of the three year diploma in Electronic Engineering were suitable for the work of the services and processing industry category. This map can be used to develop learning outcomes into a professional competence for a particular job in accordance with the qualifications of the graduate program.
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Yang, Ning. "Financial Big Data Management and Control and Artificial Intelligence Analysis Method Based on Data Mining Technology." Wireless Communications and Mobile Computing 2022 (May 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/7596094.
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Driven by capital and Internet information (IT) technology, the operating scale and capital scale of modern industrial and commercial enterprises and various organizations have increased exponentially. At present, the manual-based financial work model has been unable to adapt to the changing speed of the modern business environment and the business rhythm of enterprises. All kinds of enterprises and organizations, especially large enterprises, urgently need to improve the operational efficiency of financial systems. By enhancing the integrity, timeliness, and synergy of financial information, it improves the comprehensiveness and ability of analyzing complex problems in financial analysis. It can cope with such rapid changes and help improve the financial management capabilities of enterprises. It provides more valuable decision-making guidance for business operations and reduces business risks. In recent years, the vigorous development of artificial intelligence technology has provided a feasible solution to meet the urgent needs of enterprises. Combining data mining, deep learning, image recognition, natural language processing, knowledge graph, human-computer interaction, intelligent decision-making, and other artificial intelligence technologies with IT technology to transform financial processes, it can significantly reduce the processing time of repetitive basic financial processes, reduce the dependence on manual accounting processing, and improve the work efficiency of the financial department. Through the autonomous analysis and decision-making of artificial intelligence, the intelligentization of financial management is realized, and more accurate and effective financial decision-making support is provided for enterprises. This paper studies the company’s intelligent financial reengineering process, so as to provide reference and reference for other enterprises to upgrade similar financial systems. The results of the analysis showed that at the level of α = 0.05 , there was a significant difference in the mean between the two populations. When the r value is in the range of -1 and 1, the linear relationship between the x and y variables is more obvious. This paper proposes decision-making suggestions and risk control early warning to the group decision-making body, or evaluates the financial impact of the group’s decision-making, and opens the road to financial intelligence.
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Sun, Caiping, and Weijiang Wang. "Computer Network Security Management of Data Encryption Technology." Wireless Communications and Mobile Computing 2022 (September 2, 2022): 1–9. http://dx.doi.org/10.1155/2022/6873087.
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With the continuous promotion of high and new technologies such as computers and big data, humans enter a new period-information age. Mass data and information can be transmitted and exchanged online through the network. In recent years, research on image encryption based on optical information processing technology is becoming more and more favored by researchers. In this regard, this study will focus on the research of encryption algorithms in optical images and realize encryption through fractional Fourier transform and Arnold transform. This article first introduces the research background of the subject and analyzes the current situation of the subject at home and abroad and then proposes the theoretical guidance basis for the subject research, which covers the fractional Fourier transform, Arnold transform, computational hologram, and picture evaluation index system. Finally, MATLAB simulation and performance analysis are carried out for fractional Fourier transform, Arnold transform, and holographic encryption technology. The results shows that the improved algorithm in this study performs better in the encryption and decryption process.
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Tsyrulnyk, Serhii. "MOBILE APPLICATIONS AND ONLINE WI-FI MONITORING PLATFORMS OF WEATHER STATIONS." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, no. 9 (2020): 181–92. http://dx.doi.org/10.28925/2414-0325.2020.9.15.
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Networks that allow digital devices to connect and transmit data are covering the world fast. Thanks to the networks, it is possible to connect all mobile devices, electronic sensors, electronic measuring devices, medical devices and sensors. They track, share, evaluate, and in some cases automatically adjust the data that is collected and transmitted. The concept of "Internet of Things" is complex and has several levels: end devices (sensors, actuators), transport layer (telecommunications environment, including wired and wireless networks) and the level of data processing (collection, storage and processing). The market environment creates requirements for young professionals, and competition between higher education institutions and vocational education institutions provides an opportunity to train a highly qualified specialist who can study and create modern hardware and software for smart electronic devices and systems that are nodes of the Internet of Things network. The article deals with issues related to the peculiarities of creating simple devices within the concept of the Internet of Things based on the popular Wi-Fi module ESP8266 and the introduction of this research into the educational process. The technical possibilities, features of connection and interaction of the ESP8266 module for meteorological monitoring are revealed. The organization of the module's access to the Internet, data sending and their monitoring using the popular mobile applications Blynk, Virtuino and the cloud IoT service ThingSpeak is shown. Their work in non-commercial tasks and ease of use for educational institutions are analyzed. The article provides the source codes of programs for the Wi-Fi module ESP8266 with a digital sensor BME280
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Pratama, Yusuf Hendra. "Analisis kebutuhan SI dengan pendekatan value chain." Jurnal SAINTEKOM 10, no. 2 (August 19, 2020): 106. http://dx.doi.org/10.33020/saintekom.v10i2.83.
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SMK (Vocational High School) Negeri 5 Mataram is a school based on arts and culture. This school has some Information System (IS) that applied to the educational system, e.g, electronic report features of learning result (E-Rapor) and website.
In its implementation, the IS was unable to support schools to provide the newest information due to the large amounts of data management, the data waos changed routinely and repetitive, it often created difficulties to provide information, especially because of the academic data activity is still using a manual processing system.
Based on those problems above, the needs analysis of IS was conducted using value chain method. This method used to construct and formulates some strategies that possible to apply. The result, there were seven new application portfolios, i.e PSB Online, Financial Apps, Inventory Apps, E-Locker, E-Library, E-Learning, and Academic Information System. And two applications had improved, School Website and E-Report.
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Maletzky, Alexander, Carl Böck, Thomas Tschoellitsch, Theresa Roland, Helga Ludwig, Stefan Thumfart, Michael Giretzlehner, Sepp Hochreiter, and Jens Meier. "Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities." JMIR Medical Informatics 10, no. 10 (October 21, 2022): e38557. http://dx.doi.org/10.2196/38557.
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Electronic health records (EHRs) have been successfully used in data science and machine learning projects. However, most of these data are collected for clinical use rather than for retrospective analysis. This means that researchers typically face many different issues when attempting to access and prepare the data for secondary use. We aimed to investigate how raw EHRs can be accessed and prepared in retrospective data science projects in a disciplined, effective, and efficient way. We report our experience and findings from a large-scale data science project analyzing routinely acquired retrospective data from the Kepler University Hospital in Linz, Austria. The project involved data collection from more than 150,000 patients over a period of 10 years. It included diverse data modalities, such as static demographic data, irregularly acquired laboratory test results, regularly sampled vital signs, and high-frequency physiological waveform signals. Raw medical data can be corrupted in many unexpected ways that demand thorough manual inspection and highly individualized data cleaning solutions. We present a general data preparation workflow, which was shaped in the course of our project and consists of the following 7 steps: obtain a rough overview of the available EHR data, define clinically meaningful labels for supervised learning, extract relevant data from the hospital’s data warehouses, match data extracted from different sources, deidentify them, detect errors and inconsistencies therein through a careful exploratory analysis, and implement a suitable data processing pipeline in actual code. Only few of the data preparation issues encountered in our project were addressed by generic medical data preprocessing tools that have been proposed recently. Instead, highly individualized solutions for the specific data used in one’s own research seem inevitable. We believe that the proposed workflow can serve as a guidance for practitioners, helping them to identify and address potential problems early and avoid some common pitfalls.
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Mi, Jinhua, Yan-Feng Li, Yuan-Jian Yang, Weiwen Peng, and Hong-Zhong Huang. "Thermal Cycling Life Prediction of Sn-3.0Ag-0.5Cu Solder Joint Using Type-I Censored Data." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/807693.
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Because solder joint interconnections are the weaknesses of microelectronic packaging, their reliability has great influence on the reliability of the entire packaging structure. Based on an accelerated life test the reliability assessment and life prediction of lead-free solder joints using Weibull distribution are investigated. The type-I interval censored lifetime data were collected from a thermal cycling test, which was implemented on microelectronic packaging with lead-free ball grid array (BGA) and fine-pitch ball grid array (FBGA) interconnection structures. The number of cycles to failure of lead-free solder joints is predicted by using a modified Engelmaier fatigue life model and a type-I censored data processing method. Then, the Pan model is employed to calculate the acceleration factor of this test. A comparison of life predictions between the proposed method and the ones calculated directly by Matlab and Minitab is conducted to demonstrate the practicability and effectiveness of the proposed method. At last, failure analysis and microstructure evolution of lead-free solders are carried out to provide useful guidance for the regular maintenance, replacement of substructure, and subsequent processing of electronic products.
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Alsulaimi, Bader Muteb. "Blockchain integrated data processing model for enabling security in Education 4.0." Fusion: Practice and Applications 14, no. 1 (2024): 190–220. http://dx.doi.org/10.54216/fpa.140116.
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The COVID-19 pandemic necessitated a swift shift to online learning, affecting students differently. We investigated the experiences of 62 students with disabilities in this new educational landscape. Online learning tools raise concerns about privacy and security, making it crucial to explore students' perceptions in these areas. Our findings reveal that while students with learning disabilities appreciate online learning's flexibility, they need more guidance and support. Neurodiverse students with learning disabilities are particularly aware of the need for a secure online learning environment. These insights underscore the unique educational needs of students with disabilities in online education. In Personal Records, authenticating individuals, especially those with visual impairments, is critical. Our research combines education with cutting-edge technologies, like blockchain and machine learning, to enhance biometric authentication for visually impaired individuals. Proposed work focuses the Highly Secure Blockchain-Based Compressive Sensing (HSBCS) system, which uses blockchain for data integrity and machine learning for secure biometric authentication. Our research focuses on education and includes comprehensive testing and performance assessments. Results highlight the educational value of the HSBCS system for Students, as it significantly improves Personal Records data security and accessibility. In conclusion, our research offers an innovative, secure solution for biometric authentication in Personal Records, with a strong emphasis on education. It empowers Students to access their student information securely and independently, while enhancing education on data security and integrity. This study underscores the importance of integrating emerging technologies into Personal Records to provide better experiences for Students and address their unique educational needs.
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Tynynyka, A. N. "Reduction of noise and interference by rational selection of electronic components in lumped parameter channels at high speed data processing." Технология и конструирование в электронной аппаратуре, no. 3-4 (2019): 10–18. http://dx.doi.org/10.15222/tkea2019.3-4.10.
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When designing most electronic systems, the main focus is on the development of the devices themselves, while the problem of meeting the requirements for the interference protection usually take second place, which calls for a need in this particular study. The article is devoted to methods and rules for design of radio electronic devices, which reduce noise and interference. The author provides practical guidance in the issues of choosing components, installing cables and connectors, designing print nodes and interference filtering. The urgency of these tasks is caused by several principal reasons, i.e., the increase of the speed of semiconductor devices and electronic circuits in general, reducing the amplitudes of the working signals of digital devices, increasing effect of interconnects and cascade layouts on the stability and speed of electronic devices and systems, the complex, costly and time consuming process of finding and eliminating the causes of low noise immunity of electronic devices. With the speed growth and the layout density of the elements, ensuring the noise immunity of the electromagnetic interaction between different devices and systems becomes the most important task of designing the radio electronic systems in general. When designing any electronic circuit, additional resistive, inductive and capacitive parasitic parameters are inevitably introduced. This can critically affect the performance of the real-life design by lowering its speed and noise immunity, even leading to complete failure. Design and installation have a particularly strong influence on the operation of high-speed (high-frequency) circuits and devices. In such cases, system speed, noise immunity and electromagnetic compatibility become the main criteria for the quality of electronic design.
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Gubina, L. V., T. V. Alekseeva, and O. A. Strakhov. "Analysis of some factors influencing the performance of college students: An example of Computer Science education." Education and science journal 22, no. 2 (March 4, 2020): 171–96. http://dx.doi.org/10.17853/1994-5639-2020-2-171-196.
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Introduction. In recent years, the structure and content of training of specialists of further education have significantly improved. The increased popularity of the secondary vocational education system is evidenced by the fact that more than half of the Russian teenagers after graduating from the main stage of secondary school become applicants of technical schools and colleges. In order to manage students’ education more effectively, among other measures, it is necessary to diagnose the motivation of enrolled students at the stage of admission to the educational institution and to identify the degree of awareness of their future career choice, as these factors directly depend on the success of educational programmes.The aim of the article was to reveal the trends of influence of students’ results at the Basic State Exam (OGE – the exam, which is taken when finishing education in the 9th (final) form of comprehensive school) on the level of knowledge of Computer Science in colleges and to find out the subjective reasons of students’ preferences for the secondary vocational education system to continue studies and to enter a profession.Methodology and research methods. In the course of the study, a review and generalisation of the content of scientific sources related to the problems of professional choice and training motivation were used. Diagnostics of motivation of college students in Moscow, Moscow region and the regions of Russia was conducted through the methods of testing, surveys and anonymous questioning. Processing of the obtained data was carried out by the methods of correlation, variance and regression analysis; the degree of statistical reliability of the results was evaluated by calculating the Student’s t-test and the Fisher’s F-test.Results and scientific novelty. The authors have calculated the numerical indicators of relationship between students’ academic performance in computer science and the Basic State Exam taking, the reasons for choosing the secondary vocational education and the specialty. Constructed graphs and approximating curves prove the fact that the success degree when learning the certain discipline in college results from the assessment within the discipline taken at the Basic State Exam in school. In the regions of Russia, this factor guarantees a higher level of knowledge on Computer Science – by about 20%, and in the Moscow region – by 10%. The statistics on respondents’ professional orientation were collected. A regression model, demonstrating the impact of students’ motivational attitudes on their training in the subject discipline, is presented. It was found out that the motives “subsequent admission to a specialised university”, “obtaining a profession”, “business attitude to a profession” and “prestige of a profession” have the most positive influence in this context. The variance analysis confirmed the determinism of the learning outcomes by the reasons for the choice of secondary vocational education and profession. It is concluded that the reasons for the low or medium students’ performance include not only their weak motivation for education, but also the state of the entire education system, including the institutions of the Basic State Exam (OGE) and the Unified State Exam (EGE – high school final and university entrance exam taken upon completion of the 11th form), as well as the lack of clear criteria for the admission of applicants to the institutions of secondary vocational education. To get a specific specialty, the desire to study, its informed choice and prestige of profession positively affect students’ learning outcomes in Computer Science education.Practical significance. The research materials can be useful for teachers of secondary vocational education and for specialists involved in career guidance.
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Zhang, Ming, Dongfang Yang, Jiaxuan Du, Hanlei Sun, Liwei Li, Licheng Wang, and Kai Wang. "A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms." Energies 16, no. 7 (March 31, 2023): 3167. http://dx.doi.org/10.3390/en16073167.
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As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in various fields due to their remarkable advantages. The high level of precision in estimating the battery’s state of health greatly enhances the safety and dependability of the application process. In contrast to traditional model-based prediction methods that are complex and have limited accuracy, data-driven prediction methods, which are considered mainstream, rely on direct data analysis and offer higher accuracy. Therefore, this paper reviews how to use the latest data-driven algorithms to predict the SOH of LIBs, and proposes a general prediction process, including the acquisition of datasets for the charging and discharging process of LIBs, the processing of data and features, and the selection of algorithms. The advantages and limitations of various processing methods and cutting-edge data-driven algorithms are summarized and compared, and methods with potential applications are proposed. Effort was also made to point out their application methods and application scenarios, providing guidance for researchers in this area.
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Florimbi, Giordana, Himar Fabelo, Emanuele Torti, Raquel Lazcano, Daniel Madroñal, Samuel Ortega, Ruben Salvador, et al. "Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images." Sensors 18, no. 7 (July 17, 2018): 2314. http://dx.doi.org/10.3390/s18072314.
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The use of hyperspectral imaging (HSI) in the medical field is an emerging approach to assist physicians in diagnostic or surgical guidance tasks. However, HSI data processing involves very high computational requirements due to the huge amount of information captured by the sensors. One of the stages with higher computational load is the K-Nearest Neighbors (KNN) filtering algorithm. The main goal of this study is to optimize and parallelize the KNN algorithm by exploiting the GPU technology to obtain real-time processing during brain cancer surgical procedures. This parallel version of the KNN performs the neighbor filtering of a classification map (obtained from a supervised classifier), evaluating the different classes simultaneously. The undertaken optimizations and the computational capabilities of the GPU device throw a speedup up to 66.18× when compared to a sequential implementation.
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Computer Engineering, Journal of Electrical and. "Retracted: Research on the Efficiency of “Dual-Chain” Integration of Talent Chain and Industrial Chain of Vocational Education Based on Big Data Technology." Journal of Electrical and Computer Engineering 2023 (December 20, 2023): 1. http://dx.doi.org/10.1155/2023/9850354.
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