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Готові списки джерел за темами / Model development and evaluation / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Model development and evaluation.

Статті в журналах з теми "Model development and evaluation"

Автор: Grafiati

Опубліковано: 25 травня 2024

Оновлено: 19 липня 2025

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1

Kadir, Nuraeni. "The Integrated Silk Business Development, The Weavers Evaluation, and the Silk Development Model." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (2020): 478–86. http://dx.doi.org/10.5373/jardcs/v12i5/20201964.

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2

FanYun Pai. "Website Development and Evaluation Model." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 7 (2013): 362–71. http://dx.doi.org/10.4156/aiss.vol5.issue7.43.

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3

Alqalyoobi, Shehabaldin. "Prediction Model Development and Evaluation." CHEST 165, no. 4 (2024): e131. http://dx.doi.org/10.1016/j.chest.2023.11.045.

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4

KURUM, Gul, and Sakir CINKIR. "An Authentic Look at Evaluation in Education: A School Self- Evaluation Model Supporting School Development." Eurasian Journal of Educational Research 19, no. 83 (2019): 1–34. http://dx.doi.org/10.14689/ejer.2019.83.12.

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5

AHMADI, I. "Development and evaluation of full-vehicle vibration model of MF 285 tractor." Research in Agricultural Engineering 60, No. 3 (2014): 107–14. http://dx.doi.org/10.17221/5/2013-rae.

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Анотація:

The vibration transmitted to the tractor driver not only leads to the driver health problems, but also reduces the driver working efficiency. One of the methods utilized to reduce driver vibration is the seat suspension system. Development of the tractor vibration model is the first step toward the implementation of the tractor seat suspension. In this research development and evaluation of full-vehicle vibration model of MF 285 tractor was considered. At validation phase, the developed model simulated the predictable outputs correctly. The modified parameters of the model reduced the simulation error by 30% compared to the model with primary parameters. Furthermore, considering the operation status of tractor engine in the simulated tractor, the simulation error was reduced from 45% to 27%.

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6

Kim. "Development of Optimum Traffic Safety Evaluation Model Using the Back-Propagation Algorithm." Journal of the Korean Society of Civil Engineers 35, no. 3 (2015): 679. http://dx.doi.org/10.12652/ksce.2015.35.3.0679.

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7

Cichota, Rogerio, Russell McAuliffe, Julia Lee, et al. "Forage chicory model: Development and evaluation." Field Crops Research 246 (February 2020): 107633. http://dx.doi.org/10.1016/j.fcr.2019.107633.

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8

Karnia, Richard. "Relationship between the Adoption of BARS Teacher Evaluation Model and its Impact on Student Performance." International Journal of Psychiatry 9, no. 3 (2024): 01–18. http://dx.doi.org/10.33140/ijp.09.03.04.

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There currently is a mismatch in the outcomes in education between teacher performance evaluation models and student outcomes. Data from Illinois State Board of Education shows teachers in one district have a 99.7% of teachers meeting excellent or proficient standards, while only 13% of 11th graders can read at grade level. The research will identify trends in performance evaluation and how the application of theories of industrial-organizational psychology can play in shaping and improving current teacher evaluation models. Professional development and evaluations should be linked to quantitative data which does not exist current evaluation models. The development of behavioral anchored rating scale would be a stronger evaluation model for teacher versus existing graphic rating scales. This should then lead to the development for a BARS model tied to each subject matter to increase the validity and reliability in teacher evaluations. Current teacher evaluation models do not properly assess teacher’s knowledge, skills, abilities and other characteristics, and the implementation of a performance evaluation model for teachers based on a Behavior Anchored Rating Scale will lead to improvement is student outcomes.

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9

Ellison, Constance M. "Talent development professional development evaluation model: A paradigm shift." New Directions for Evaluation 2004, no. 101 (2004): 63–78. http://dx.doi.org/10.1002/ev.108.

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10

Favaro, Paul, and Marie Billinger. "A Comprehensive Evaluation Model for Organizational Development." Canadian Journal of Program Evaluation 8, no. 2 (1993): 45–60. http://dx.doi.org/10.3138/cjpe.8.004.

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Abstract: Most organizations implement evaluation studies to determine how to improve aprogram or to decide if a program should be continued. However, evaluation can be used to help organizations make relevant and valid decisions for the cycle of program planning, development, implementation, and operation. This article describes a “comprehensive evaluation model” used at Sacred Heart Child and Family Centre, Toronto, Ontario, that provides a framework for understanding the importance of evaluation activities within all program phases. Four sequential evaluation stages are presented as the framework for the Sacred Heart model, and it is argued that consideration of these stages is essential to an adequate assessment of a program’s efficiency and effectiveness. The use of the comprehensive evaluation model is illustrated through two case studies: the design and implementation of an automated management information system and an evaluation of a primary prevention program.

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11

Divayana, Dewa Gede Hendra, P. Wayan Arta Suyasa, and Ni Ketut Widiartini. "Development of instruments for DIVAYANA evaluation model." Psychology, Evaluation, and Technology in Educational Research 3, no. 2 (2021): 62–76. http://dx.doi.org/10.33292/petier.v3i2.68.

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Анотація:

The purpose of this research showed a valid DIVAYANA evaluation model instruments were used to evaluate the implementation of e-learning. This research approach was the development of evaluation instruments. The evaluation instruments developed were in the form of interview guides and questionnaires. The interview guidelines that resulted were related to several DIVAYANA evaluation components, included: the Description component, Input component, Verification component, and Yack component. Questionnaires were generated on several DIVAYANA evaluation components, included: the Verification component, Action component, and Yack component. The subjects involved in the content validity test of the interview guidelines were two experts, including an informatics education expert and an educational evaluation expert. The content validity tests of questionnaires were conducted by six experts, including three education evaluation experts and three informatics education experts. The content validity calculation process of the interview guidelines used the Gregory formula, while the content validity of the questionnaires used Lawsheâ€™s CVR formula. The content validity average of interview guidelines on the Description, Input, Verification, and Yack components was 0.882 so it was included in the very good category. The content validity average of questionnaires on the Verification, Action, and Yack components was 0.774 so it was in a good category. The implication of this research is the realization of valid measuring instruments that can be used in evaluating the implementation of e-learning.

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12

Tola, Burhanuddin. "Effective School Evaluation Model: A Development Study." Journal of Modern Education Review 4, no. 9 (2014): 679–91. http://dx.doi.org/10.15341/jmer(2155-7993)/09.04.2014/004.

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13

Noda, H., R. Takahashi, T. Kobayashi, et al. "Development of Evaluation Model for Substation Damage." IEEE Transactions on Power Delivery 26, no. 3 (2011): 1920–26. http://dx.doi.org/10.1109/tpwrd.2011.2116161.

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14

Bani-Salameh, Hani, Sanaa Alwidian, Maen Hammad, and Fadi Wedyan. "An Evaluation Model for Social Development Environments." International Journal of Software Engineering and Its Applications 8, no. 1 (2014): 323–36. http://dx.doi.org/10.14257/ijseia.2014.8.1.28.

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15

Mishra, Upendra Nath. "Development of Geoid Model and comparative evaluation." Abstracts of the ICA 6 (August 11, 2023): 1–2. http://dx.doi.org/10.5194/ica-abs-6-167-2023.

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16

Tvrdoň, J. "Some model approaches of natural resources efficiency evaluation." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (2012): 47–50. http://dx.doi.org/10.17221/5075-agricecon.

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The article deals with problems of sustainable development of agriculture from the viewpoint of efficient use of environmental resources. Environmental resources are factors of creation both usual economic goods and stabilization of environment. Analysis proved that classical indicators of economic performance are necessary to be modified by the ecological threshold of economic activities. However its level is not fixed and follows factors introduced in the paper which arose in frame of solution of the Institutional Research Intention MSM 411100013.

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17

Bitar, Khalil, Rola Hbeichi, Lamia Al-Zou'bi, and Craig Russon. "Evaluation Capacity Development through Cluster Evaluation." Journal of MultiDisciplinary Evaluation 11, no. 24 (2014): 68–75. http://dx.doi.org/10.56645/jmde.v11i24.407.

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Анотація:

Background: The term “cluster evaluation” was first coined in 1988 by W. K. Kellogg staff in an evaluation of a Foundation-funded initiative; the concept was further developed and practiced by the Kellogg Foundation evaluation consultants and other practitioners in the evaluation community Setting: Cluster evaluation was a model used to evaluate the programming of a small specialized UN agency in three countries (Lebanon, Jordan and Palestine) of the Arab States. Purpose: The article explains how cluster evaluation, as originally conceived by the W. K. Kellogg Foundation, was adapted to the realities of the UN system. Subjects: NA Research Design: The authors present a case study of an evaluation of a cluster of programmes from the Arab States region (Lebanon, Jordan and Palestine) that was conducted by a small, specialized agency of the UN. Data Collection and Analysis: The evaluation was designed as a series of programme reviews. Information from the reviews was to be aggregated in order to understand collective contributions to the region. Findings: The case study demonstrates the potential benefits of the model as well as some of the challenges. Conclusions: Analysis of the data leads to a number of interesting conclusions. First, in the philanthropic sector, cluster evaluation is a programmatic intervention. That is not the way that the model was used in the context of this evaluation. Instead of evaluation as intervention, it was evaluation as capacity development. This evaluation took place in the Arab States, a region in which evaluation capacity is perhaps not as institutionalized as other parts of the world. The purpose of using a cluster evaluation in this context was to strengthen the capacities of the national evaluators. Each of the national evaluators who were contracted had different areas of strength and weakness. By establishing a strong network amongst themselves, they were able to leverage each other’s strength and to compensate for any weaknesses. The consultants developed each other’s capacity and that greatly benefited the evaluation. The higher capacity went on to benefit the collective evaluation capacity of the region. The national evaluators have all gone one to be leaders in the formation of their respective regional and national evaluation organisations.

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18

Eichhorn, Joachim, and Anke Kniffka. "The numerical flow model MISKAM: State of development and evaluation of the basic version." Meteorologische Zeitschrift 19, no. 1 (2010): 81–90. http://dx.doi.org/10.1127/0941-2948/2010/0425.

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19

Sharma, Gaurav, and Dr Rajiv Khanduja. "Development of Simulation Model for Performance Evaluation of Refining System in a Sugar Plant." Indian Journal of Applied Research 3, no. 11 (2011): 164–68. http://dx.doi.org/10.15373/2249555x/nov2013/56.

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20

Xie, Junping, Yongfeng Ma, and Li Yuan. "Research on Model Development for Freeway Safety Facilities." Mathematical Problems in Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/370675.

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Анотація:

To make freeway safety facilities function well, field survey is carried out to evaluate the maintenance quality of freeway safety facilities. In traditional models, the same weight values are assigned to the safety facilities while evaluating without considering the functional differences of different facilities. The paper develops the maintenance quality evaluation procedure and the model considering the functional differences of freeway safety facilities. In the evaluation procedure, the safety facility damage in function is the main index to get the evaluation scores for each kind of facility. The purpose of the model is to convert the evaluation scores of different safety facilities to an overall maintenance quality measure, and this result can reveal the overall facility maintenance quality of the freeway segment. In order to build the model and confirm the calculated weight of each kind of facility, Multivariable Regression and Optimized Analytic Hierarchy Process were used separately. The model was validated by comparing the proposed model evaluation results and the reorganized survey evaluation results. The coefficient of correlation (R2value) is 0.9048, which shows strong correlation between the subjective evaluation and objective evaluation.

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21

Edgmon, Kreg J., H. Wallace Goddard, Catherine S. Solheim, and Mark B. White. "Development of the Parent Self-Evaluation Instrument." Psychological Reports 79, no. 2 (1996): 643–46. http://dx.doi.org/10.2466/pr0.1996.79.2.643.

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Parenting measures have been used most commonly for research and clinical evaluation, with little practical application for parent self-evaluation and education. To help parents assess their parenting strengths and skills and be better directed in their information seeking the Parent Self-evaluation Instrument was developed. The framework and dimensions of this scale are based on the National Extension Parent Education Model. A panel of 23 parenting experts reviewed the scale for content validity. Evaluations of the scales' validity were consistently high.

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22

Zhao, Minting, Teng Ge, and Dan Chen. "Study on Sustainable Development Model of Community Renewal based on the Green Development Model." Rocznik Ochrona Środowiska 26 (April 25, 2024): 146–51. http://dx.doi.org/10.54740/ros.2024.015.

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The community is an important part of the city. With the city's development, it is faced with the problem of renewal and reconstruction of the old community. It is necessary to explore the sustainable development of the community. In this paper, evaluation and analysis of the coordinated development of the ecological environment and economy of the community are studied. The indicators were selected appropriately to reflect the SE and EE development status comprehensively. The results show that Nanjing, Wuhan and Xi'an take the top spot in terms of CCD, meaning it has the most harmonious relationship between the social-economic subsystem and eco-environment subsystem; Xi'an has the highest SE value, while Lianyungang has the lowest evaluation result. Nanjing has the highest EE value, indicating it has the best eco-environment development, while Suqian has the worst. This study provides a scientific basis and effective measures for sustainable development in China.

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23

Bako, Sadauki, Olasunkanmi Maruf Alimi, and Gabi Danlami. "DEVELOPMENT OF SOFTWARE AGENT-BASED PERFORMANCE EVALUATION MODEL." FUDMA JOURNAL OF SCIENCES 8, no. 3 (2024): 169–77. https://doi.org/10.33003/fjs-2024-0803-2507.

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Agent-based performance evaluation systems help an organisation's predetermined uniform appraisal score weights but have some deficiencies, like difficulty in simulation tests, amongst others. The purpose of this study is to design computer-based systems for the effective performance evaluation of employees in an organization. The regression model was applied, and the results reveal that employee appraisal elements "must be objectives" and "tools for development" have a statistically significant positive influence on performance evaluation. This implies that an increase in "must-be objectives" and "tools for development" will correspondingly lead to an improvement in performance evaluation. Besides, the Artificial Neural Network (ANN) outperformed the other computer-based systems as it had an error bias of negligible value of 0.001. Meanwhile, in comparing the empirical data analysis results to the simulation, it is observed that the estimated parameter values of the regression model align with the findings, hence enhancing the precision of the model in achieving a steady state of the Ordinary Differential Equation (ODE). Additionally, the computer-based models are a good fit for the data, and the introduction of the three models shows better precision for performance evaluation in an organization. Therefore, the organisation should equip itself with the required knowledge base in computer-based systems to connect the real-life situation of predicting effective and unbiased performance evaluation.

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24

Sparks, Elizabeth, Michelle Molina, Natalie Shepp, and Fiona Davey. "The Evaluation Skill-a-Thon: Evaluation Model for Meaningful Youth Engagement." Journal of Youth Development 16, no. 1 (2021): 100–125. http://dx.doi.org/10.5195/jyd.2021.968.

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Анотація:

Active engagement of youth participants in the evaluation process is an increasingly sought out method, but the field can still benefit from new methods that ease youth participatory evaluation implementation. Meaningful youth engagement in the evaluation process is particularly advantageous under the 4-H thriving model because of its potential to contribute to positive youth development, foster relationship building, enhance evaluation capacity, and improve program quality through improved evaluations. This program sought to facilitate actively engaging youth in the evaluation process by breaking it up into clear and manageable steps including evaluation design, data collection, data interpretation and analysis, reporting results, and outlining programmatic change. To achieve this aim, program staff designed the Evaluation Skill-a-Thon, a set of self-paced, experiential evaluation activities at various stations through which youth participants rotate. Actively involving youth participants in the evaluation process using the Skill-a-Thon model resulted in youth being able to identify and design programmatic changes, increased participation and response rates in other evaluations, and several youth participants’ gaining an interest in evaluation and working to design evaluations in later years. The Evaluation Skill-a-Thon holds promise for actively engaging youth participants in the entire evaluation process, easy implementation, and increasing evaluation capacity.

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25

Howe, J. Gavin, Jeffrey P. Chrstos, Richard Romano, and James O'Kins. "Development of a Vehicle Model/Simulation Evaluation Tool." SAE International Journal of Commercial Vehicles 1, no. 1 (2008): 89–99. http://dx.doi.org/10.4271/2008-01-0778.

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26

Youngkee Kim. "Development of Web Credibility Evaluation Model Using AHP." Journal of Korean Library and Information Science Society 39, no. 4 (2008): 51–69. http://dx.doi.org/10.16981/kliss.39.4.200812.51.

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27

Harbiankova, Alena, and Elena Scherbina. "Evaluation Model for Sustainable Development of Settlement System." Sustainability 13, no. 21 (2021): 11778. http://dx.doi.org/10.3390/su132111778.

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Sustainability of settlement systems is of greatest relevance in political and socio-economic stability all over the world. The development effectiveness of a rural settlement system involves the solution of a number of matters in sustainable development, namely social welfare and environmental balance, economy and industry development, improving the pipeline and utility infrastructure, and improving the efficiency of the decision-making process. Currently, the sustainability of a rural settlement system is one of the key objectives in regional planning in post-Soviet countries. The introduction of new tools for assessing and managing the settlement system development is particularly true for Belarus, as a country with a strong focus on agricultural industry. The research aim was to develop and approve a model for evaluating the settlement system development. The research methods were based on the complex and interdisciplinary approaches, namely the system-element approach, the comparative analysis, spatial and mathematical modelling, factor analysis, and the cartographic analysis. The model was approved by practical consideration for evaluating the development of the analogue object at the local planning level. The practical relevance of the research is associated with the potential for using the model as a significant tool in land use planning. The model employs both quantitative and qualitative evaluation to obtain alternative solutions towards sustainable development of rural areas. Another advantage of the model is its multifunctionality, which enables: (1) sustainability evaluation of a settlement system, (2) establishment of regional planning priority areas, and (3) development of specific measures for ensuring the sustainability of a regional settlement system and its elements.

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28

Miller, Judy L., Patrick A. Thompson, and Martha Mahler Orabella. "Forecasting in foodservice: Model development, testing, and evaluation." Journal of the American Dietetic Association 91, no. 5 (1991): 569–74. http://dx.doi.org/10.1016/s0002-8223(21)01174-3.

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29

Geng, Yun Jiang. "Research on Enterprises Scientific Development Performance Evaluation Model." Key Engineering Materials 467-469 (February 2011): 1887–92. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1887.

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Анотація:

According to the connotation of Scientific Outlook on Development, this paper constructs an enterprises scientific development performance evaluation model based on factor analysis and combination weighting. The innovation points and contributions are in three aspects. First, by evaluating performance from the manpower criterion, the basic idea of Scientific Outlook on Development of people-oriented is reflected. Second, by applying the factor analysis to screen evaluation indicators, fourteen indicators are selected to reflect more than 85% of original information and avoids information duplication and redundancy. Third, by determining the combination weight through multiplicative synthesis method based on G1 and TOPSIS, it fully utilizes experts’ subjective experiences and objective information.

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30

Lee, Yunhee, Chunghu Lee, and Insu Cho. "Development of Performance Evaluation Model for Social Value." Academic Society of Global Business Administration 16, no. 6 (2019): 133–50. http://dx.doi.org/10.38115/asgba.2019.16.6.133.

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31

Gao, Hongyan. "Combination Evaluation Model of Regional Highway Transportation Development." Journal of Information and Computational Science 12, no. 15 (2015): 5581–87. http://dx.doi.org/10.12733/jics20106692.

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32

Fan, Miao. "Economic development evaluation model based on entropy AHP." Journal of Discrete Mathematical Sciences and Cryptography 20, no. 4 (2017): 873–84. http://dx.doi.org/10.1080/09720529.2017.1359374.

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33

Yoo, Wi Sung, and Ung-Kyun Lee. "Development of Expertise-based Safety Performance Evaluation Model." Journal of the Korea Institute of Building Construction 13, no. 2 (2013): 159–68. http://dx.doi.org/10.5345/jkibc.2013.13.2.159.

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34

Widiasanti, I., R. Z. Tamin, P. F. Marzuki, and I. I. Wiratmaja. "Development of civil engineers’ certification system evaluation model." IOP Conference Series: Materials Science and Engineering 434 (December 3, 2018): 012196. http://dx.doi.org/10.1088/1757-899x/434/1/012196.

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35

Uyanga, Tserengombo, and Kilhung Lee. "Development of a Collaborative e-Learning Evaluation Model." Journal of the Korea Society of Digital Industry and Information Management 11, no. 1 (2015): 135–44. http://dx.doi.org/10.17662/ksdim.2015.11.1.135.

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36

Sefer, Jasmina. "A model for curriculum development and student evaluation." Zbornik Instituta za pedagoska istrazivanja, no. 34 (2002): 79–95. http://dx.doi.org/10.2298/zipi0204079s.

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Анотація:

The paper outlines theoretical foundations for investigations to be conducted in our education, based on USA (DISCOVERY) and Yugoslav (CREATIVITY) previous projects that dealt with developing, investigating and evaluating (a) abilities of creative problem solving within seven types of intelligence after the Gardner model and (b) curriculum that provides and encourages the development of those abilities. Divergent thinking and creativity in all spheres of intellectual behavior in teaching are encouraged by introducing open-type questions, play, exploring activities and multimedia integrative-interdisciplinary thematic approach to problem solving. Multiple intelligence and a dimensional model of problem solving present theoretical foundations for curriculum development and a new qualitative approach to process evaluation of student's various abilities. Investigations should make provisions for comparing the results obtained in various cultures and for integrating best solutions into a common whole. Comparing the results of cultures and testing theoretical models and instruments for the evaluation of students are the outcomes essential to the science of pedagogy. Curriculum development oriented to problem and divergent thinking in different areas, intellectual functioning, and enrichment of the choice of instruments for multiple process evaluation of students can also significantly contribute to the current reform of Yugoslav school, development of student abilities and teacher education and in-service training.

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37

TAHARA, Mika, Hirohide OIKAWA, and Kenji ARAI. "Development of Passive Autocatalytic Recombiner Performance Evaluation Model." Proceedings of the National Symposium on Power and Energy Systems 2000.7 (2000): 447–50. http://dx.doi.org/10.1299/jsmepes.2000.7.447.

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38

Wakitani, Shin, Toru Yamamoto, Chitoshi Morishige, et al. "Practice and Evaluation of Model-based Development Education." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 2P2—K07. http://dx.doi.org/10.1299/jsmermd.2017.2p2-k07.

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39

Chang, You Yi, Rong Mao Wang, Xiao Yang He, and Qing Chun Li. "Development of Electricity Trading Vector Benefit Evaluation Model." Journal of Physics: Conference Series 1635 (November 2020): 012004. http://dx.doi.org/10.1088/1742-6596/1635/1/012004.

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40

Lodi, Gabriele, Giuseppe Storti, Laura A. Pellegrini, and Massimo Morbidelli. "Ion Exclusion Chromatography: Model Development and Experimental Evaluation." Industrial & Engineering Chemistry Research 56, no. 6 (2017): 1621–32. http://dx.doi.org/10.1021/acs.iecr.6b04475.

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41

Hakan, Karatas, and Fer Seval. "CIPP evaluation model scale: development, reliability and validity." Procedia - Social and Behavioral Sciences 15 (2011): 592–99. http://dx.doi.org/10.1016/j.sbspro.2011.03.146.

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42

Hanna, Steven R., and Robert J. Paine. "Hybrid Plume Dispersion Model (HPDM) Development and Evaluation." Journal of Applied Meteorology 28, no. 3 (1989): 206–24. http://dx.doi.org/10.1175/1520-0450(1989)028<0206:hpdmda>2.0.co;2.

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Karaveg, Charttirot, Natcha Thawesaengskulthai, and Achara Chandrachai. "Evaluation model for research and development commercialization capability." Production & Manufacturing Research 2, no. 1 (2014): 586–602. http://dx.doi.org/10.1080/21693277.2014.886086.

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Todorović, Andrijana, Miloš Stanić, Željko Vasilić, and Jasna Plavšić. "The 3DNet-Catch hydrologic model: Development and evaluation." Journal of Hydrology 568 (January 2019): 26–45. http://dx.doi.org/10.1016/j.jhydrol.2018.10.040.

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Hogg, Sheila A. "The problem-solving curriculum evaluation and development model." Nurse Education Today 10, no. 2 (1990): 104–10. http://dx.doi.org/10.1016/0260-6917(90)90204-4.

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Lasslop, Gitta, Kirsten Thonicke, and Silvia Kloster. "SPITFIRE within the MPI Earth system model: Model development and evaluation." Journal of Advances in Modeling Earth Systems 6, no. 3 (2014): 740–55. http://dx.doi.org/10.1002/2013ms000284.

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Luo, Yong, and Xiu Chun Guo. "Model Research on the Evaluation of Traffic Sustainable Development." Advanced Materials Research 301-303 (July 2011): 805–10. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.805.

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Анотація:

By research, we can realize definitely the relationship between the urban transportation system mode and containable development; meanwhile, it suggests the evaluation methods evaluation contents and guideline of Large-sized and middle-sized civic traffic problems. According to the civic traffic containable development basic theory, the major action factors of the civic traffic containable development and the establishment of the civic traffic containable development evaluation guideline system. Afterwards, this paper takes main factors and weight to use the found evaluation system.

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Mugikura, Yoshihiro, Takumi Imabayashi, and Koichi Asano. "Development of SOEC Performance Model Based on Cell Performance." ECS Meeting Abstracts MA2022-02, no. 47 (2022): 1786. http://dx.doi.org/10.1149/ma2022-02471786mtgabs.

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Central Research Institute of electric Power Industry (CRCIEPI) has developed original SOFC performance evaluation method and applied to a wide variety of cells. Based on the SOFC performance evaluation method, a new SOEC performance evaluation method has been developed this time. By this evaluation method, the difference between the open circuit voltage and the cell voltage can be expressed by the internal resistance loss (measured value), the fuel electrode overvoltage, the oxygen electrode overvoltage, and the Nernst loss. In this study, cell performance before and after the CO2 direct electrolysis test was compared by SOFC and SOEC evaluation methods and clarification of cell degradation factor by CO2 direct electrolysis.

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Ambiyar. "Development of an Evaluation Model for Industrial Internship Programs." Journal of Information Systems Engineering and Management 10, no. 5s (2025): 97–108. https://doi.org/10.52783/jisem.v10i5s.594.

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Evaluation of industrial internship programs is crucial to assess their effectiveness and ensure alignment with the needs of the workforce. This study arises from several pressing issues, including the lack of competency alignment between vocational education and industry, significant gaps in the design and implementation of apprenticeship programs, and the reliance on conventional evaluation methods that lack technological integration. The research aims to address these challenges by developing a robust evaluation model tailored for industrial apprenticeship programs in Indonesia and Malaysia. Drawing upon established frameworks such as the CIPP model, Countenance Model, and Kirkpatrick evaluation model, this study incorporates innovative elements, including an adaptive, technology-driven evaluation system designed to enhance assessment accuracy and relevance. The novelty of this research lies in its focus on creating a link-and-match ecosystem between vocational education and industry, leveraging advanced evaluation tools to provide actionable insights for improving program quality and policy decisions. Using interviews, questionnaires, and field observations, data were collected from a diverse group of vocational university students, lecturers, and industry representatives. The findings not only validate the urgent need for an enhanced evaluation model but also demonstrate its potential to elevate the preparedness of graduates, equipping them with the skills and competencies required to succeed in the job market or as entrepreneurs. The final deliverables include a comprehensive evaluation framework, a technology-based assessment application, and a handbook to support stakeholders in adopting and implementing the model.

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Luo, Dengze, Hongtao Li, Yu Wu, Dong Li, Xingguo Yang, and Qiang Yao. "Cloud model-based evaluation of landslide dam development feasibility." PLOS ONE 16, no. 5 (2021): e0251212. http://dx.doi.org/10.1371/journal.pone.0251212.

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As natural backwater structures, landslide dams both threaten downstream human settlement or infrastructure and contain abundant hydro-energy and tourism resources, so research on their development feasibility is of great significance for permanently remedying them and effectively turning disasters into benefits. Through an analysis of the factors influencing landslide dam development and utilization, an index system (consisting of target, rule, and index layers) for evaluating development feasibility was constructed in this paper. Considering uncertainty and randomness in development feasibility evaluation, a cloud model-improved evaluation method was proposed to determine membership and score clouds based on the uncertainty reasoning of cloud model, and a cloud model-improved analytic hierarchy process (AHP-Cloud Model) was introduced to obtain weights. Final evaluation results were obtained using a hierarchical weighted summary. The improved method was applied to evaluate the Hongshiyan and Tangjiashan landslide dams and the results were compared with the maximum membership principle results. The results showed that the cloud model depicted the fuzziness and uncertainty in the evaluation process. The improved method proposed in this paper overcame the loss of fuzziness in the maximum membership principle evaluation results, and was capable of more directly presenting evaluation results. The development feasibility of the Hongshiyan landslide dam was relatively high, while that of the Tangjiashan landslide dam was relatively low. As suggested by these results, the evaluation model proposed in this paper has great significance for preparing a long-term management scheme for landslide dams.

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