• Nuclear Engineering and Technology
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• v.52 no.11
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• pp.2565-2571
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• 2020

Background: Understanding the behaviour of nuclear fuel claddings by conducting burst test on single cladding tube under simulated loss-of-coolant accident conditions and developing theoretical cum empirical predictive computer codes have been the focus of several investigations. The developed burst criterion (a) assumes symmetrical deformation of cladding tube in contrast to experimental observation (b) interpolates the properties of Zircaloy-4 cladding in mixed α+β phase (c) does not account for azimuthal temperature variations. In order to overcome all these drawbacks of burst criterion, it is reasoned that artificial intelligence technique may be a better option to predict the burst parameters. Methods: Artificial neural network models based on feedforward backpropagation algorithm with logsig transfer function are developed. Results: Neural network architecture of 2-4-4-3, that is model with two hidden layers having four nodes in each layer is found to be the most suitable. The mean, maximum, and minimum prediction errors for this optimised model are 0.82%, 19.62%, and 0.004%, respectively. Conclusion: The burst stress, burst temperature, and burst strain obtained from burst criterion have average deviation of 19%, 12%, and 53% respectively whereas the developed neural network model predicted these parameters with average deviation of 6%, 2%, and 8%, respectively.

• 대한공업교육학회지
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• v.30 no.1
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• pp.133-148
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• 2005

This research attempts to establish a strategy through which to secure the introduction of the KEM 2.0 system. Another aim of this research is to eventually establish a service system which can be used to automatically generate and provide the metadata information contained in the Cylearn system. in order to facilitate Korean vocational high school students access to teaching-learning materials. The main research tasks associated with this research were: 1) To establish the components of the file server system while taking into consideration the environment in which each educational organization operates; 2) To utilize the KEM 2.0 in order to optimize the configuration of the Cylearn system and the related software. To do so, the KEM 2.0. should be applied in close coordination with Edunet: The results of this research can be summarized as follows: First, a strategy to introduce the KEM 2.0 was established. To achieve this, the researcher analyzed the characteristics of the sequencing and presentation methods and suggested teaching-learning materials based on the KEM 2.0.s sequencing system. Second, the file server was constructed using the KEM 2.0. The established file server took into account the environmental conditions in which the Edunet system operates so as to facilitate the creation of a network system with Edunet. Third, the Cylearn service system was linked to Edunet. The researcher developed a module using the KEM 2.0. that could be used to transmit the metadata related to teaching-learning materials to Edunet. To achieve this, an input device and a databank which could be used to transfer the generated metadata to Edunet were developed. The input device and databank developed using the KEM 2.0. were used to transfer the metadata to Edunet by linking the Cylearn system to the Edunet system.

• Journal of Contemporary Eastern Asia
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• v.14 no.1
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• pp.57-69
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• 2015

This paper explores some of the ways in which social games - games played with others through social network sites such as Facebook - are situated within the everyday. It argues that social games are more than just games; they perform a range of interactive and integrative functions across and within people's lives and therefore need to be investigated as such. Social games en-able spaces for and practices of creative expression, and identity management. They also form a mechanism through which relations can be enacted and maintained across and outside of the game environment. This argument requires the researcher to consider the panoply of ways in which people integrate social games within their lives and everyday practices. Part of a larger project, this paper explores some findings from an exploratory survey of Australian game play-ers about their management and integration of game play within the everyday with a particular focus on gender.

• Journal of Environmental Science International
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• v.15 no.2
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• pp.141-155
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• 2006

This study is aimed at the development of a runoff forecasting model to solve the uncertainties occurring in the process of rainfall-runoff modeling and improve the modeling accuracy of the stream runoff forecasting, The study area is the downstream of Naeseung-chun. Therefore, time-dependent data was obtained from the Wolpo water level gauging station. 11 and 2 out of total 13 flood events were selected for the training and testing set of model. The model performance was improved as the measuring time interval$(T_m)$ was smaller than the sampling time interval$(T_s)$. The Neuro-Fuzzy(NF) and TANK models can give more accurate runoff forecasts up to 4 hours ahead than the Feed Forward Multilayer Neural Network(FFNN) model in standard above the Determination coefficient$(R^2)$ 0.7.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.1
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• pp.17-44
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• 2005

There is a strong correlation between library resources and research productivity, as measured by publications and researcher honors. Therefore, first-class information resources of the academic and research libraries are essential to a productive research infrastructure in Korea. The principal aim of this paper is to develop a structure and framework of KORLIN (Korean Research Library Network) for providing seamless access to the analogue and digital information resources of university and research libraries from workstations of researchers.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2002.10a
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• pp.80-84
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• 2002

In this study, researchers developed the est algorithm for artificial defects in the semic packages and performed to it by pattern recogn technology. For this purpose, this algorithm was I that researcher made software with matlab. The so consists of some procedures including ultrasonic acquistion, equalization filtering, self-organizing backpropagation neural network. self-organizing ma backpropagation neural network are belong to metho neural networks. And the pattern recognition tech has applied to classify three kinds of detective pa semiconductor packages. that is, crack, delaminat normal. According to the results, it was found estimative algorithm was provided the recognition r 75.7%( for crack) and 83.4%( for delamination) 87.2 % ( for normal).

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.90-97
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• 2021

The study aimed to analyze the reality of the scientific publishing of the faculty members of the Northern Border University, in both the Web of Science database and the SCOPUS database, with the analysis of publishing indicators and trends for the period between 2008-2020, and the researcher's keenness to apply the bibliometric study research methodology to obtain an account Full and detailed publications indicators under the two databases, including a full analysis of scientific publishing through objective, temporal, quantitative, authors, languages, open access journals, information forms, the most productive authors, the most published scientific journals, the most scientific bodies involved with the university. The study found results, the most important of which is the existence of a high increase in scientific publishing, starting from 2015, with an increase in publishing in the scientific field compared to other disciplines, and that the vast majority of publishing is in the form of articles, as well as publishing in English for the rest of the languages.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.103-109
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• 2021

The study aimed to analyze the current situation of the electronic portal of the Northern Border University, in terms of content and components, the extent of quality of use, service assurance and integrity, linguistic coverage of objective content, in addition to assessing the efficiency of the Blackboard e-learning platform and measuring the degree of safety of the portal, in addition to measuring the extent of satisfaction, through a sample that included 135 faculty members, as the researcher was keen to apply the case study methodology with the use of the questionnaire as the main tool for measurement, and the study found that there is an average trend among faculty members in the degree of content for the components of the portal and electronic security While it rose to good use, and very good at using the Blackboard platform.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.283-287
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• 2022

Machine Learning is the most popular method used in data science. Growth of data is not only numeric data but also text data. Most of the algorithm of supervised and unsupervised machine learning algorithms use numeric data. Now it is required to convert text data into numeric. There are many techniques for this conversion. Researcher confuses which technique is best in what situation. Here in proposed work BOW (Bag-of-Words) and TF-IDF (Term-Frequency-Inverse-Document-Frequency) has been studied based on different features to determine best method. After experimental results on text data, TF-IDF and BOW both provide better performance at range from 100 to 150 number of features.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.15-20
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• 2022

The study investigated the effects of differences in some electronic course designs on university students' Computational Thinking Skills (CTS). Towards this end, the researcher adopted the experimental research design of a quasi-experimental of two experimental groups. The first group was taught an e-course designed in a sequential pattern, and the other group's course was designed according to the holistic model. A CTSs test was prepared to collect the relevant data, and the data were analyzed statistically using these tests- Pearson correlation Mann Whitney and Alpha Cronbach. Results revealed statistically-significant differences at the level α=0.05 between the mean scores of the first and second experimental groups in favor of the latter in the CTS test. The findings gave ground to put forward some salient recommendations, including the need to expand computational thinking in universities' educational process. It also recommends urging faculty members to enhance e-courses in the educational process and provide technical support to students and faculty members.