• Journal of the Korea Academia-Industrial cooperation Society
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• 제17권11호
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• pp.716-723
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• 2016

A computerized information management system of road bridges as a national key infrastructure is needed to effectively collect data of the current status, improve the reliability of data, and use the results from the analysis of the accumulated data as fundamental resources for supporting the establishment of policies. The Internet-based Bridge Information System (BIS), including a database and geographic information systems (GIS), was designed, and the data items were comprised of essential information, such as GIS-based location coordinates, bridge condition grade information and so on. The BIS was developed to be connected with a related information system, and it is possible to make the current information of traffic volume, address and so on by adopting the GIS. To enhance the reliability of the information of current bridge status, it is also possible to improve the accuracy of data through an information verifying function to prevent entry errors. In addition, the BIS can easily support the establishment of policies offering various types of knowledge information that were available in the past based on an analysis of the accumulated data. The intuitive identification and analysis of the current status is to be feasible through a GIS screen. Improvement of the business efficiency and data accuracy and time-series information analysis are available by managing the information of current status through BIS. In the future, it is expected that BIS can be used effectively for the establishment of reasonable maintenance policies of the nation.

• Journal of the Korean Society for Library and Information Science
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• 제28권
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• pp.109-133
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• 1995

This study assessed citation analysis results in light of their usefulness for national scientific and technical information (STI) policy formulation and review in Korea. using electrical and electronics engineering field as a case. After brief summary of citation analysis results was presented. current Korean STI policy was reviewed. which aims at establishing national STI sharing system by constructing many STI databases and information networks. Citation analysis results were discussed in light of their significance for Korean databases and information network construction and for use of informal networks such as E-Mail and invisible colleges. The problem of access to current information was also reviewed. Some recommendations were made to policy makers. which include creation of a centralized national STI center: development of guidelines for effective utilization of STI networks and STI; and. standardization of information processing technology and support for the automation of information centers and libraries. Based on the literature review. the best possible way of presenting recommendations to policy makers was examined. It was concluded that citation analysis could be a useful methodology for STI policy formulation and review when reliability and validity of the study is assured and the samples well represent the population of scientists and engineers. Finally recommendations for further research were offered.

• Language and Information
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• 제14권2호
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• pp.159-181
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• 2010

This paper presents a hybrid approach to the sentiment analysis of online texts. The sentiment of a text refers to the feelings that the author of a text has towards a certain topic. Many existing approaches employ either a pattern-based approach or a machine learning based approach. The former shows relatively high precision in classifying the sentiments, but suffers from the data sparseness problem, i.e. the lack of patterns. The latter approach shows relatively lower precision, but 100% recall. The approach presented in the current work adopts the merits of both approaches. It combines the pattern-based approach with the machine learning based approach, so that the relatively high precision and high recall can be maintained. Our experiment shows that the hybrid approach improves the F-measure score for more than 50% in comparison with the pattern-based approach and for around 1% comparing with the machine learning based approach. The numerical improvement from the machine learning based approach might not seem to be quite encouraging, but the fact that in the current approach not only the sentiment or the polarity information of sentences but also the additional information such as target of sentiments can be classified makes the current approach promising.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1529-1536
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• 2017

A digital dual-channel interleaved phase-shift full-bridge converter is investigated in this paper, and its topology and principle are analyzed. To realize current sharing and stabilize the output voltage, a controller with current sharing loop and closed voltage loop is employed. In addition, current sharing will increase the output current fluctuation and a new digital interleaved driving technology is proposed to reduce the output current ripple. To verify the analysis, simulation and experiments are carried out, which shows the effectiveness of the proposed control strategies.

• The Journal of Information Systems
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• 제4권
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• pp.65-82
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• 1995

This paper investigates the current status of the acquisition of information resources at the domestic hospitals. First of all, as a theoretical background, the concept of hospital information systems and the acquisition of information resources are reviewed. Second, as a research methodology, samples, data collection methods, and data analysis methods are discussed. Third, research hypotheses, operational definitions of the research variables and measurement are discussed. Fourth, as research results, characteristics of the samples and the current situations of the acquisition of information rourses are discussed based on the five research hypotheses.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• 제14권8호
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• pp.675-683
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• 2004

The motor current signature provides an important source of the information for the faults diagnosis of three-phase induction motor. The theoretical principles behind the generation of unique signal characteristics, which are indicative of failure mechanisms, are Presented. The fault detection techniques that can be used to diagnose mechanical Problems, stator and rotor winding failure mechanisms, and air-gap eccentricity are described. A theoretical analysis is presented which predicts the presence of unique signature patterns in the current that are only characteristics of the fault. The predictions are verified by experimental results from a special fault Producing test rig and on-site tests in a steel company. And this study have made new diagnostic algorithm for the operating induction motors with the test results. These developments are including the use of monitoring and analysis of electric current to diagnose mechanical and electrical problems and gave the precise test results automatically.

• Journal of Electrical Engineering and Technology
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• 제11권5호
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• pp.1190-1194
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• 2016

• Korean Journal of Materials Research
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• 제26권2호
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• pp.100-108
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• 2016

Zinc Sulfide (ZnS) is one of the II-VI semiconducting materials, having novel fundamental properties and diverse areas of application such as light-emitting diodes (LEDs), electroluminescence, flat panel displays, infrared windows, catalyst, chemical sensors, biosensors, lasers and biodevices, etc. However, despite the remarkable versatility and prospective potential of ZnS, research and development (R&D) into its applications has not been performed in much detail relative to research into other inorganic semiconductors. In this study, based on global patent information, we analyzed recent technical trends and the current status of R&D into ZnS applications. Furthermore, we provided new technical insight into ZnS applicable fields using in-depth analysis. Especially, this report suggests that ZnS, due to its infrared-transmitting optical property, is a promising material in astronomy and military fields for lenses of infrared systems. The patent information analysis in this report will be utilized in the process of identifying the current positioning of technology and the direction of future R&D.

• International Journal of Contents
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• 제16권3호
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• pp.33-44
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• 2020

Small and medium enterprises need a wide range of information regarding technologies, industries, market conditions, other companies, and products to facilitate identification of new growth opportunities and to respond quickly to changes in the business environment. Collecting such information, however, requires the input of resources (human resources, cost, and time), and the lack of marketability resulting from the shortage of such resources is often cited as the reason small and medium often fail in their effort to commercialize their technology. The purpose of this study was to analyze the environmental factors such as market concentration and the current level of competition to enable companies to make the necessary decisions when considering market entry following R&D planning and technology commercialization, or after the development of a new product. Also, an expert-based 5FORCE analysis can be performed using the KMAPS, an industry and market intelligence system: this facilitates automatic production of analyses based on the corporate finance and transaction data. The key contribution of the study is that it facilitates conveniently and quickly analyzing the 5 Forces, which had been a difficult task in the environmental analysis, and that the outcomes of this study empower companies in the decision-making process.

• Journal of the Korea Society of Computer and Information
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• 제23권5호
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• pp.65-72
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• 2018

This study analyzes college dropout cases to reduce its rate. The analysis is preferentially carried out by figuring out our current situation of college dropout rate in pertinent cases and all around country's. Based on the current states, statistical analysis is accomplished as follows; analyzing the characteristic differences between the being in school's and the dropouts' by T-Test, determining the influence factor by logistic regression analysis and drawing the target group for special treatments through these statistical analysis. To reduce dropout rate, several measures could be adopted; focused counseling for each target group, special monitoring for students on leave of absence and opening major subjects for improving relationship between students and professors. The measures suggested by the analysis through this study are expected to lower the dropout rates effectively in college or specific fields including engineering science.