• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.05a
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• pp.575-580
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• 2004

The latest equipment automatic Intelligence of digital base done large size equipment appear in succession. That run by voltage electric current(mA, mV, ${\mu}A,\;{\mu}V$) that outline is microscopic of action of accuracy large size equipment of this digital base is bulk. Have received influence that is great in river electric field by installment that use computer. Most of domestic working voltage from service entrance extra-high voltage and working voltage of commercial frequency 60Hz working voltage 220V that use our country outside 1 country in interior of 22.900V for semiconductor use computer use digital installment of appliance as well as various smalls of digital base, middle, large size that safety is these fine voltage electric current that is not enough direct admonition hundred vast damage give can. Also, already act in surge circle and impulse transient phenomena such as several thousands, myriads, strong bit error more than billions time to digital fine electronic circuit by mistake use of using electric facility system of system electric power.

• School Mathematics
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• v.3 no.1
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• pp.45-74
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• 2001

In this paper, an analysis of survey questions relating to educational technology which was extracted from a more general survey of 1-12 mathematics teachers in Korea is reported. The general survey was conducted to provide a baseline for evaluating and developing recommendations for mathematics curriculum that is consistent with the knowledge based information society model of the future. The basic requirements for technology based education are availability of hardware and the ability of teachers to use technology for education. Therefore, the availability and use of technology by mathematics teachers in today’s curriculum was analyzed. The computer ability of teachers, the amount of computer use in the classroom, and the attitude of teachers about the use of technology for education was analyzed. The analysis is intended to provide a baseline of information for understanding and developing plans for better implementing technology for mathematic education.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.155-161
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• 2017

As the e-marketplace becomes the core of management activities, researches on motivation, transaction type, strategy, satisfaction, risk management, performance evaluation, etc. have been actively studied, but the factors influencing actual utilization have not been fully. Especially, the factors that affect the intention of the users are limited without consideration of internal environment, external environment, e-marketplace characteristics such as operating rules, characteristics of the company to be used. In order to derive the determinants of B2B e-marketplace use, this study was conducted to examine the relationship between internal environment, external environment, e-marketplace characteristics as independent variables, intention of use as dependent variable, participation qualification, The results were as follows. First, the previous study limited the determinants of intention to use to either internal or external, but this study presented an integrated model that considers both factors. Second, the characteristics of companies participating in e-marketplace were identified by using participation qualification and activity scope as control variables.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.693-712
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• 2012

The paper presents three machine learning based keyphrase extraction methods that respectively use Decision Trees, Na$\ddot{i}$ve Bayes, and Artificial Neural Networks for keyphrase extraction. We consider keyphrases as being phrases that consist of one or more words and as representing the important concepts in a text document. The three machine learning based keyphrase extraction methods that we use for experimentation have been compared with a publicly available keyphrase extraction system called KEA. The experimental results show that the Neural Network based keyphrase extraction method outperforms two other keyphrase extraction methods that use the Decision Tree and Na$\ddot{i}$ve Bayes. The results also show that the Neural Network based method performs better than KEA.

• Korean Journal of Childcare and Education
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• v.6 no.2
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• pp.1-15
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• 2010

The purpose of this study is to investigate the difference between using computers for an Information Literacy Abilities of Young Children(ILAYC) and development of the ILAYC, with regard to following factors: computer use at home, learning in educational facilities for early childhood, and parents' recognition toward computer-assisted education. The data were obtained from random sampling of 4-year old children in educational facilities for early childhood located in J city. The research was conducted in order to measure ILAYC, using the questionnaire for teachers from September 3 to 27, 2009. The t-test to investigate computer utilization ability and information literacy ability for young children revealed that the ILAYC was not significantly influenced by their computer use at home, while the ILAYC varied with learning in educational facilities and parents' recognition toward computer-assisted education. These are resulted from parents' different recognition toward computer-assisted education when they select an educational facility for early childhood.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.147-148
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• 2016

The purpose of this paper is to investigate the diffusion process of mobile internet use in Korea and to explore the determinants driving MIU. A survey was conducted to collect data to empirically assess the research model. In total, 543 usable responses were collected using a questionnaire derived from previous research. Both the structural equation model and partial least squares were used to study the model concerning different user groups. Findings, The results indicate that there are significant differences in the users' perceptions of mobile internet usage during its different innovation diffusion stages. Of the determinants, perceived enjoyment is the most important predictor of mobile internet use. In addition to motivating users by making services more enjoyable, the findings suggest that practitioners should take the differences of adopter groups into account. Making the mobile internet easy to use and compatible with users' lifestyles would promote the use of technology as well.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.449-449
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• 2000

Many researchers have studied architectures for non-Neumann's computers because of escaping its bottleneck. To avoid the bottleneck, a neuron-based computer has been developed. The computer has only neurons and their connections, which are constructed of the learning. But still it has information processing facilities, and at the same time, it is like as a simplified brain to make inference; it is called "neuron-computer". No instructions are considered in any neural network usually; however, to complete complex processing on restricted computing resources, the processing must be reduced to primitive actions. Therefore, we introduce the instructions to the neuron-computer, in which the most important function is implications. There is an implication represented by binary-operators, but general implications for multi-value or fuzzy logics can't be done. Therefore, we need to use Lukasiewicz' operator at least. We investigated a neuron-computer having instructions for general implications. If we use the computer, the effective inferences base on multi-value logic is executed rapidly in a small logical unit.

• Journal of Families and Better Life
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• v.14 no.4
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• pp.249-262
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• 1996

To give additional assistance in education for family time use and time management a computer program based on the time-related theories was developed. For this purpose the study consisted of three main stages. First various theories of family time use time management strategies and household work time were investigated and the assumptions were suggested. Second the module for predicting family time use was designed and the program using the module was developed. Third to evaluate the program's benefits the program was used at introductory class of undergraduate course. As the results the sophisticated software program could be used as an educational instrument to help not only students but also individual and family member to become knowledgeable about managers of family time resource. furthermore this program could be useful for the educators and counselors to help individuals and households with time use problems.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.906-909
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• 2000

Conventional caption extraction methods use the difference between frames or color segmentation methods from the whole image. Because these methods depend heavily on heuristics, we should have a priori knowledge of the captions to be extracted. Also they are difficult to implement. In this paper, we propose a method that uses little heuristics and simplified algorithm. We use topographical features of characters to extract the character points and use KMST(Kruskal minimum spanning tree) to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98.2%. And then we can see the results that caption area in complex images is well extracted.

• Journal of the Korea Computer Industry Society
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• v.9 no.2
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• pp.83-92
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• 2008

Throughout the history of computer use, the interface metaphor has been employed to make computers easier for humans to use. Even the earliest command line interfaces used metaphor. Metaphors in user interfaces help to make the software accessible to users and allow the users to communicate with the system as well. User interface guidelines for most of the popular operating systems encourage the use of metaphors in interface design. Thus, metaphor in interface design is employed as central element with a long history. Therefore, this paper will suggest substantiating guidelines which are based on conceptual model and Gestaltprinciples for successful metaphor construction with a better user interface.