• Asia pacific journal of information systems
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• 제13권2호
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• pp.23-46
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• 2003

This paper proposes an analysis methodology that enables the establishment of improved customer satisfaction via decision support system using customer satisfaction index data and customer database of a company. The proposed methodology establishes rational future goal of a company by applying DEA, finds potential customers which correspond to demographic features of the previous target group, and improve quality factors which distinguish the quality-satisfaction-group from the quality-dissatisfaction-group through the use of machine learning tools, SOM and C4.5. Finally, we illustrate the effectiveness of our research methodology using actual data of a camera company.

• 산업경영시스템학회지
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• 제28권1호
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• pp.16-23
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• 2005

Purpose of this research wishes to present way to more safe and reliable operation way to shopping mall operation companies as well as consumerism through general utilization present condition of customers and satisfaction investigation that use internet shopping mall and establish wholesome commercial transaction order. This research draws criteria and items about success factor through each precedent research literature investigation about internet shopping mall success factor, and made up a questionnaire criteria and items that affect important internet shopping mall company's selection to college students and graduate students with learning connected with electronic commerce course. Execute pair comparison that require in AHP and analyzed priority weight about criteria and items to shopping mall company selection. As the result, Appeared that 'Credibility about internet shopping mall company's transaction' is considered most heftily by importance criteria at internet shopping mall selection. Appeared that think 'Credibility of personal information leakage prevention' most important to each criteria.

• 대한안전경영과학회지
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• 제12권3호
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• pp.303-313
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• 2010

As more and more the social environment change, the companies try to improve industrial structure. The role of enterprise changed direction from position power to communication power. Social contributed activity - representative of social responsible activities in companies - is means of communication with the community and new marketing strategy. The most important element of successful social contributed activity is member's volunteering minds. Volunteer mind based on practical behavioral philosophy. This is right people for company. In this paper, we discussed company social responsibility and suggested standard guide line for voluntary record reflection when the company hire new employees.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.817-819
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• 2019

다양한 학습 모델이 발전하고 있는 지금, 학습을 통한 다양한 시도가 진행되고 있다. 이중 에너지 분야에서 많은 연구가 진행 중에 있으며, 대표적으로 BEMS(Building energy Management System)를 볼 수 있다. BEMS의 경우 건물을 기준으로 건물에서 생성되는 다양한 DATA를 이용하여, 에너지 예측 및 제어하는 다양한 기술이 발전해가고 있다. 하지만 FEMS(Factory Energy Management System)에 관련된 연구는 많이 발전하지 못했으며, 이는 BEMS와 FEAMS의 차이에서 비롯된다. 본 연구에서는 실제 공장에서 수집한 DATA를 기반으로 하여, 전력량 예측을 하였으며 예측을 위한 기술로 시계열 DATA 분석 방법인 LSTM 알고리즘을 이용하여 진행하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2020년도 추계학술발표대회
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• pp.883-885
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• 2020

최근 활발히 진행되는 교통 속도 예측 연구는 기존에는 하나의 모델로 하나의 도로구간에 대해서만 예측하는 문제를 주로 다루었다. 그러나 하나의 도로구간을 하나의 속도 예측 모델로 예측할 시, 도로구간마다 모델이 존재하여야 하므로 모델의 예측 비용이 도로구간의 수만큼 증가한다. 본 논문에서는 하나의 모델을 통해 다수의 도로구간에 대한 속도를 예측하는 다중 도로구간 속도 예측 모델을 제안한다. 제안하는 다중 도로구간 속도 예측 모델은 기존의 단일 도로구간 속도 예측 모델 대비 정확도를 보존하면서, 그 예측 비용을 크게 감소시켰다.

• 한국위성정보통신학회논문지
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• 제11권3호
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• pp.43-50
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• 2016

본 연구는 스마트러닝 시스템을 조기 구축하고 임직원 교육을 위해 활용 중인 국내 IT Service 전문기업을 대상으로 스마트기기를 활용한 혼합학습(Blended Learning)이 학습만족도에 미치는 영향을 정량적으로 측정하였다. 구체적으로 기술수용모형을 적용하여 스마트기기를 이용한 학습태도인 자기효능감, 개인혁신성, 인지된 유용성, 인지된 용이성이 혼합학습에서 선행학습인 스마트러닝의 수용과 오프라인 면대면 학습의 만족도에 미치는 영향에 대해 실증적으로 분석하였다. 그 결과, 스마트러닝의 학습태도는 스마트러닝의 수용에 정의 영향을 주었으며, 스마트러닝의 수용은 오프라인 교육의 학습 만족도에 정의 영향을 주었다. 추가로 스마트러닝의 학습태도는 스마트러닝의 수용뿐만 아니라 오프라이 교육의 학습 만족도에도 정의 영향을 주었다. 이는 스마트러닝 학습태도의 변인들이 자기 주도적 학습과 긍정적인 학습만족도에 영향을 미치고 있음을 시사한다.

• 대한간호
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• 제33권3호
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• pp.56-69
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• 1994

This study was done to develop self - directed learning modules related to asepsis and elimination including urine and stool for Fundamentals in Nursing practice education contents and to measure the effectiveness of those modules. The subjects of this study were 96 sophomore students in the nursing college. Self-directed learning modules were developed by the researcher on the basis of the Lippincott Learning System of Kruger (1986) and Modules for Basic Nursing Care of Ellis (1992). Videotape was editted by using videotape made by the Lippincott Company and Film strip made by the Trainex Company with Korean dubbing. Self-directed learning was done for one week with the asepsis module and two weeks with the elimination modules after confirming the requiered level of knowledge acquisition through pre-test. For measuring proficiency in self-directed learning, a written test for cognitive domain, a sufficiency test for psychomotor domain, and a confidnece examination for affective domain were given. The data were analyzed using descritive statistics, and Pearson correlation coefficient using a SPSS-PC program. The results are summarized as follows: 1. Sufficiency test and confidence examination grades showed high levels in both asepsis and elimination. 2. Written test grades showed a high level in asepsis and elimination of urine but showed a medium level in eliminationin of stool. 3. Grades of sufficiency and confidence in asepsis and elimination practice were statistically significant with a moderate positive correlation (r=0.4- 0.5, p<0.001). 4. Grades of sufficiency and written tests in asepsis and elimination practice also were statistically significant with a moderate positive correlation (r=0.5-0.7, p<0.001). 5. Students showed relatively high contentment with the self-directed learning modules themselves but revealed relatively low contentment with video program and the self-directed learning process. In conclusion, this study disclosed that proficiency levels in cognitive, affective, and psychomotor domains were high when asepsis and elimination modules were applied. Also students showed high satisfaction with the modules themselves, but didn't show high contentment with the video programs. In considering low contentment with the self-directed learning process, it is estimated the students had experienced some difficulties about using self-directed learning modules because this was their first exposure to the self-directed learning module and they were already accustomed to the demonstration-practice method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.694-698
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• 2004

In this paper, as one of these efforts for making the intelligent data mining system we propose the Associative frame of the memory according to the following three steps. First,the structured frame for performing the main brain function should be made. In this frame, the concepts of learning memory and episode memory are considered. Second,the learning mechanism for data acquisition and storing mechanism in the memory frame are provided. The obtained data are arranged and stored in the memory following the rules of the structured memory frame. Third, it is the last step of processing the inference and knowledge retrieval function using the stored knowledge in the associative memory frame. This system is applied to the area for estimating the purchasing degree from the type of customer's tastes, the pattern of commodities and the evaluation of a company.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2004년도 International Conference on Digital Policy & Management
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• pp.283-294
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• 2004

Within the rapidly changing environment of global economics, the environment of higher education in the universities & companies, also, has been, encountering various changes. Popularization on higher education related to lifetime education system, putting emphasis on the productivity of education services and the acquisition of competitiveness through the market of open education, the breakdown of the ivory tower and the Multiversitization of universities & companies, importance of obtaining information in the universities & companies, and cooperation between domestic and oversea universities, industry and educational system must be acquired. Therefore, in order to adequately cope with these kinds of rapid changes in the education environment, operating E-Learning Education & company by utilizing various information technologies and its fixations such as Internet, E-mail. CD-ROMs. Interactive Video Networks (Video Conferencing, Video on Demand), CableTV etc., which has no time or location limitation, is needed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.111-118
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• 2016

Artificial intelligence (AI) is making computer systems intelligent to do right thing. The AI is used today in a variety of fields, such as journalism, medical, industry as well as entertainment. The impact of AI is becoming larger day after day. In general, the AI system has to lead the optimal decision under uncertainty. But it is difficult for the AI system can derive the best conclusion. In addition, we have a trouble to represent the intelligent capacity of AI in numeric values. Statistics has the ability to quantify the uncertainty by two approaches of frequentist and Bayesian. So in this paper, we propose a methodology of the connection between statistics and AI efficiently. We compute a fixed value for estimating the population parameter using the frequentist learning. Also we find a probability distribution to estimate the parameter of conceptual population using Bayesian learning. To show how our proposed research could be applied to practical domain, we collect the patent big data related to Apple company, and we make the AI more intelligent to understand Apple's technology.