• 산업공학
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• 제16권spc호
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• pp.1-6
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• 2003

This study deals with the problem of selecting 6 sigma projects. Traditionally, such selection was based on CTQ (critical to quality) or COPQ (cost of poor quality) derived within business units. Since the objective of 6 sigma is to achieve business goals in a short period, 6 sigma projects should be selected and carried out in coincidence with the whole company's strategies. This paper proposes two methods of selecting 6 sigma projects: one is to identify CTQ's by analyzing the company's BSC's (balanced score card) and then deploying them into subunits of the company and the other is to identify those projects with large hidden COPQ or cost of waste by applying value stream analysis and process model simulation to derive process cost models.

• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.239-243
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• 2023

Owing to the environment in which it has become difficult to face people, on-tact communication has been activated, and online video conferencing platforms have become indispensable collaboration tools. Although costs have dropped and productivity has improved, communication remains poor. Recently, various companies, including existing online videoconferencing companies, have attempted to solve communication problems by establishing a videoconferencing platform within the virtual reality (Virtual Reality) space. Although the VR videoconference platform has only improved upon the benefits of existing video conferences, the problem of manually summarizing minutes because there is no function to summarize minute documents still remains. Therefore, this study proposes a method for establishing a meeting minute summary system without applying cases to a VR videoconference platform. This study aims to solve the problem of communication difficulties by combining VR, a metaverse technology, with an existing online video conferencing platform.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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• pp.139-142
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• 2020

NB-IoT(Narrow Band Internet of Things) is an emerging LPWAN(Low Power Wide Area Network) radio technology. NB-IoT has many advantages like low power, low cost, and high coverage. However low bandwidth and low sampling rates also lead to poor positioning accuracy. This paper proposed a solution to optimize positioning accuracy under the OTDOA(Observed Time Difference of Arrival) approach by utilizing MLR(Multiple Linear Regression) models. Through the MLR model to predict the influence degree of weather(temperature, humidity, light intensity and air pressure) on the arrival time of signal transmission to improve the measurement accuracy. The improvement of measurement accuracy can greatly improve IoT applications based on NB-IoT.

• 대한간호학회지
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• 제3권2호
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• pp.111-119
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• 1973

The purpose of this study was to determine whether or not the delivery of health services effects the health knowledge of the recipients of that service. 10 was hypothesized that the practical application of theory, though health services rendered by public health nursing students during their field experiences. would have a positive relationship with the quantity and quality of health knowledge of the female population of a given community. In April 1970, ninety five women(between an age 15-49) from Koyang-Gun were interviewed regarding their knowledge and attitudes in four areas of health: maternal health, child health. family planning and tuberculosis prevention. After 11 years(Nov. l971), during which time the women received home visits by student nurses, the women were again interviewed using the original questionnaire. Additionally, they were asked where they had received information about each question. During the 1$\frac{1}{2}$ year period the visits were made by a total of 112 students. They visited the community twice a week. The result were as follows: Maternal health There was marked improvement in the knowledge of specific aspects of maternal health such as the proper instruments needed for cutting the cord and nutritional precaution of pregnancy (p<0.05). In each case 42.0 percent of more of this knowledge was attributed to information gained from the nursing students. However even after the nursing students'visits, the knowledge of other general areas of maternal remained poor. Child health There were increases in the knowledge of the respondents for the time to supplement breast feeding and for time to wean infants (p<0.05). In each case 35.0 percent or more of this information was attributed to the student. The increase in knowledge regarding types of immunization was more often attributed to the clinic nurse than to the nursing students. Knowledge of the necessity of booster immunization was poor both before and after the visits by the nursing students. Family planing There were significant increases in correct information regarding the time of I.U.D. insertion (P<0.05) and method of taking the oral pill (P<0.05). More than 42.0 percent of the increase was attributed to the nursing students'visits. However there was a slight decrease in correct information about concept of family planning. Tuberculosis There was a general lack of improvement in all areas concerned with tuberculosis. Two thirds of the respondents felt tuberculosis was hereditary and did not know what B.C.G. was. From this study, it could be concluded that in specific area the health knowledge of the female population studied was positively effected by the visits of the nursing students. The study also, suggests, however, that there was a marked unevenness in the overall increase in health knowledge. This raises serious questions which require further research. Suggested areas for further research are (1) Adequacy of the course content preparing nurses for the field experience. (2) A public health nursing manual for student reference. (3) Where and when specific aspects of health can be taught most effectively.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 춘계학술대회
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• pp.316-320
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• 2005

We developed Intelligent Product Search Agent based on SWRL, and this agent can search product information with knowledge(facts and rules) on the web, implement price comparison for searched products considering delivery rates. Existing keyword based product search engines is poor at searching intent products though a user has already prefect knowledge about intent produces. Furthermore if a user has insufficient knowledge, it is impossible to implement search. Also, existing price comparison shopping mall gives users comparison service considering total price(product prices, taxes, delivery rates), this service is valid to single product and has limitations of system expansion and up-dating because of not rule base but programming base. If there is appropriate knowledge on the Semantic web and this makes product information retrieval possible, above problems can be solved clearly. In this research, we developed Intelligent Product Search Agent based on SWRL that can search product information efficiently by making agent to handle facts and rules by itself.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.829-830
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• 2008

In modern days, many of the images are captured by using various devices, such as PDA, digital camera, or cell phone camera. Because all these devise have a limited dynamic range, images captured in real world scenes with high dynamic ranges usually exhibit poor visibility and low contrast, which may make important image features lost or hard to tell by human viewers. In this paper, the efficient color image enhancement method is presented. Experimental result show that the proposed method yields better performance of color enhancement over the previous work for test color images.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.345-346
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• 2018

Internet of Things (IoT) data is collected in real time and is treated as highly reliable data because of its high precision. However, IoT data is not always highly reliable data. Because, data be often incomplete values for reasons such as sensor aging and failure, poor operating environment, and communication problems. So, we propose the methodology for solve this problem. Our methodology implements multiple LSTM networks to individually process the data collected from the sensors and a single LSTM network that batches the input data into an array. And, we propose an efficient method for constructing LSTM in IoT environment.

• 지능정보연구
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• 제2권2호
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• pp.43-54
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• 1996

Financial markets are operating 24 hours a day throughout the world and interrelated in increasingly complex ways. Telecommunications and computer networks tie together markets in the from of electronic entities. Financial practitioners are inundated with an ever larger stream of data, produced by the rise of sophisticated database technologies, on the rising number of market instruments. As conventional analytic techniques reach their limit in recognizing data patterns, financial firms and institutions find neural network techniques to solve this complex task. Neural networks have found an important niche in financial a, pp.ications. We a, pp.y neural networks to Standard and Poor's (S&P) 500 stock index futures trading to predict the futures marker behavior. The results through experiments with a commercial neural, network software do su, pp.rt future use of neural networks in S&P 500 stock index futures trading.

• 한국산업정보학회논문지
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• 제7권4호
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• pp.83-89
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• 2002

자동차의 바킹류 및 방음고무는 자동차의 소음 및 오일등 각종유액의 누설의 대부분을 차지하고 있기 때문에 자동차의 생명연장에 필수적인 부품이다. 현재까지 선별시스템의 고가로 인해서 대부분의 선별이 수작업으로 이루어져 왔다. 이는 피로누적에 의한 오류가 많을 수 있고 제품의 신뢰도에 치명적일 수 있다. 선별 시스템을 완전 자동화 하므로서 공정개선 및 인건비 절감, 신뢰도 개선의 효과가 있다. 이 연구는 앞으로 이들 고무 제품의 검사 장비의 자동화를 이루는 기반을 만든다고 할 수 있다. 특히 컨베이어 벨트를 타고 흐르는 부품을 제어하는 부분과, 움직이는 물체의 타이밍을 설계하여 영상획득하여 내부 불량 제품에 DCT(이산여현변환)를 적용하여 선별시스템을 만들었다.

• 한국정보통신학회논문지
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• 제26권7호
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• pp.1098-1101
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• 2022

With the development of computer music notation programs, when drawing sheet music, it is often drawn using a computer. However, there are still many use of hand-written notations for educational purposes or to quickly draw sheet music such as listening and dictating. In previous studies, OMR focused on recognizing the printed music sheet made by music notation program. the result of handwritten OMR with camera is poor because different people have different writing methods, and lens distortion. In this study, as a pre-processing process for recognizing handwritten music sheet, we propose a method for recognizing a staff using linear regression and a method for recognizing a bar using CNN. F₁ scores of staff recognition and barline detection are 99.09% and 95.48%, respectively. This methodologies are expected to contribute to improving the accuracy of handwriting.