• 한국컴퓨터정보학회논문지
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• 제23권3호
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• pp.63-70
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• 2018

In this work, we analyze the relationship between the accumulated mileage of hybrid electric vehicle(HEV) and the data provided from vehicle parts. Data were collected while traveling over 70,000 Km in various paths. The data collected in seconds are aggregated for 10 minutes and characterized in terms of centrality, variability, normality, and so on. We examined whether the statistical properties of vehicle parts are different for each cumulative mileage interval of a hybrid car. When the cumulative mileage interval is categorized into =< 30,000, <= 50,000, and >50,000, the statistical properties are classified by the mileage interval as 82.3% accuracy. This indicates that if the data of the vehicle parts is collected by operating the hybrid vehicle for 10 minutes, the cumulative mileage interval of the vehicle can be estimated. This makes it possible to detect the abnormality of the vehicle part relative to the accumulated mileage. It can be used to detect abnormal aging of vehicle parts and to inform maintenance necessity.

• 한국IT서비스학회지
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• 제13권1호
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• pp.147-159
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• 2014

Recently, the quantity of information that is accessible from the Internet is being dramatically increased. Searching the Web for useful information has therefore become increasingly difficult. Thus, much research has been done on web robots which perform internet information filtering based on user interest. If a web site which users want to visit is found, its content is searched by following the searching list or Web sites links in order. This search process takes a long time according as the number of page or site increases so that its performance need to be improved. In order to minimize unnecessary search with web robots, this paper proposes an efficient information collection system based on compare and merge method. In the proposed system, a web robot initially collects information from web sites which users register. From the next visit to the web sites, the web robot compares what it collected with what the web sites have currently. If they are different, the web robot updates what it collected. Only updated web page information is classified according to subject and provided to users so that users can access the updated information quickly.

• 간호행정학회지
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• 제12권4호
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• pp.532-540
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• 2006

Purpose: To identify the degree of users' satisfaction with Nursing Information System. Methods: The study is a survey of users' satisfaction with Nursing Information System. The subjects of the study are 300 nurses who use the Nursing Information System at least for 6 months or longer; data was collected from August 26th to September 1st, 2005. The collected data was analyzed on SPSS 12.0. Results: The results showed that there are noticeable differences in the degree of satisfaction among the users using the Nursing Information System depended on the subjects' marital status, working department, job title, types of computer training and other facts, such as individual's ability of using the system finding necessary references. Nursing records (including administration and prescription of medicine) was chosen to be the priority for the recognition of the Nursing Information System; for motivation on establishment of Nursing Information System was the efficiency of work; and for any problems or troubles with the Nursing Information System was the delayed work due to the system-suspension. Conclusion: The study implied that Nursing Information System have improved and effective Nursing practice.

• Structural Monitoring and Maintenance
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• 제2권4호
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• pp.399-418
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• 2015

Automated damage detection through Structural Health Monitoring (SHM) techniques has become an active area of research in the bridge engineering community but widespread implementation on in-service infrastructure still presents some challenges. In the meantime, visual inspection remains as the most common method for condition assessment even though collected information is highly subjective and certain types of damage can be overlooked by the inspector. In this article, a Frequency Response Functions-based model updating algorithm is evaluated using experimentally collected data from the University of Central Florida (UCF)-Benchmark Structure. A protocol for measurement selection and a regularization technique are presented in this work in order to provide the most well-conditioned model updating scenario for the target structure. The proposed technique is composed of two main stages. First, the initial finite element model (FEM) is calibrated through model updating so that it captures the dynamic signature of the UCF Benchmark Structure in its healthy condition. Second, based upon collected data from the damaged condition, the updating process is repeated on the baseline (healthy) FEM. The difference between the updated parameters from subsequent stages revealed both location and extent of damage in a "blind" scenario, without any previous information about type and location of damage.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2259-2277
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• 2023

We propose a probabilistic fish growth model for smart aquaculture systems equipped with IoT sensors that monitor the ecological environment. As IoT sensors permeate into smart aquaculture systems, environmental data such as oxygen level and temperature are collected frequently and automatically. However, there still exists data on fish weight, tank allocation, and other factors that are collected less frequently and manually by human workers due to technological limitations. Unlike sensor data, human-collected data are hard to obtain and are prone to poor quality due to missing data and reading errors. In a situation where different types of data are mixed, it becomes challenging to develop an effective fish growth model. This study explores the unique characteristics of such a combined environmental and weight dataset. To address these characteristics, we develop a preprocessing method and a probabilistic fish growth model using mixed data sampling (MIDAS) and overlapping mixtures of Gaussian processes (OMGP). We modify the OMGP to be applicable to prediction by setting a proper prior distribution that utilizes the characteristic that the ratio of fish groups does not significantly change as they grow. We conduct a numerical study using the eel dataset collected from a real smart aquaculture system, which reveals the promising performance of our model.

• 생약학회지
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• 제50권4호
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• pp.305-311
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• 2019

The purpose of this study was to examine the changes in seasonal bioactive components of 4 and 6 years old fresh ginseng (Panax ginseng) and to provide basic information on the development of functional food using fresh ginseng. Seasonal changes were investigated by ginseng saponin analysis using HPLC method and acidic polysaccharides by carbazole sulfuric acid method. Total saponins showed the highest content of fresh ginseng collected in May, followed by March, July, and September. Fresh ginseng collected in May showed 2.5 times (4 years old) - 3.0 times (6 years old) higher than fresh ginseng collected in September. Acidic polysaccharides showed high content of fresh ginseng collected in March and September, and low content of fresh ginseng collected in May and July. From these results, the fresh ginseng collected in May can develop high concentrations of saponin. On the other hand, fresh ginseng collected in March and September is thought to be able to develop high concentration products of acidic polysaccharides.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.521-524
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• 2003

최근 현장에서는 공사관리의 효율화를 위한 여러 가지 공사관리 시스템을 적용하고 있으며, 이를 통하여 현장의 실적자료를 수집하고 있다. 하지만 이러한 노력에도 불구하고 실적자료의 바탕이 되는 현장 데이터는 객관적 수집 또는 기준에 의해서 이루어지는 것이 아니라 주관적 판단 또는 측정자별로 상이한 기준에 의해 이루어져 각 현장별로 큰 차이가 발생하고 있다. 이러한 문제를 해결하고자 최근 모바일 기술의 발전을 활용한 현장의 데이터 수집을 위한 여러 가지 방안이 연구되고 있으며, 데이터의 체계화에 대한 필요성이 제기되고 있다. 따라서 본 연구는 공종별 특성에 따른 진도 측정 단위 도출 방안을 제안하고, MS Access를 활용한 Prototype의 진도 측정단위 생성 시스템을 개발하였다. 마지막으로, 제안된 도출 방안과 시스템 및 체계는 측정된 데이터의 객관성 및 정확성을 높임으로서, 현장별로 표준화된 진도측정을 가능하게 할 것이다.

• 대한한방소아과학회지
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• 제31권3호
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• pp.46-63
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• 2017

Objectives The Korean Medicine (KM) PHR platform is a personalized healthcare service which allows individuals to keep and manage their own health records. When parents are reporting for their children from their memories, there is high possibility of recall errors. In these cases, it could be useful for doctors to collect the patient's symptoms through PHR platform. In this study, we aimed to investigate the clinical significance of the PHR by using the KM PHR platform in the pediatric clinic. Methods The PHR platform was used to collect child health information from parents and child care teachers. The collected data were analyzed in comparison with the results of screening by pediatrician. Results A total of 58 children were recruited, 44 of which health information were collected from their parents and their child care teachers. The remaining 14 children's health information were collected from their parents only. As a result the parents tended to perceive their children weaker than the child care teacher. Compared to other organs, there was a only significant difference in the heart weakness score and spleen weakness score in the comparison of the weak and healthy children. Conclusions Although the study was conducted on a small group of subjects, and used PHR platform developed specifically for adults to indirectly input child's symptoms, and analyzed their health information, there was a difference in health records between information providers. Development of PHR platform for children is needed to collect more reliable information.

• 대한토목학회논문집
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• 제30권3D호
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• pp.241-246
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• 2010

본 연구는 버스정보시스템(BIS)의 운영을 통해 수집되고 있는 데이터를 이용하여 도시내 가로의 통행시간을 추정하기 위한 연구이다. 기존의 버스시스템에 첨단정보통신 기술을 접목한 BIS는 많은 지방자치단체에서 구축하여 운영 중에 있다. 그러나 이러한 기술동향을 반영한 연구는 부족한 실정이다. 기존에 구축된 BIS의 운영을 통해 유용한 교통정보들이 수집되고 있으나 수집된 데이터의 활용은 활발히 이루어지지 못하고 있다. 본 연구에서는 BIS의 운영을 통해 수집되고 있는 버스운행 데이터를 이용하여 도시내 가로의 링크통행시간 추정을 통해 도시의 교통관리에 활용하고 운전자에게 교통정보를 제공하기 위한 기초적인 연구를 수행하고자 하였다. 연구결과 버스의 링크통행시간이 두 개의 군집으로 나타났으며 따라서 링크통행시간을 두 개의 군집으로 나누어 추정모형을 구축하였다. 구축된 모형을 통계적으로 검정하기 위해 T-test를 실시한 결과 통계적으로 유의한 것으로 분석되었다.

• 한국컴퓨터정보학회논문지
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• 제23권7호
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• pp.39-47
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• 2018

This paper confirms the risk of using smartphone through the analysis of collected usage pattern and proposes the smartphone intervention system in risk situations. In order to check the risk of smartphone usage, we made information collecting application and collected smartphone usage pattern from 11 experiment participants for two months. By analyzing smartphone usage pattern, we confirmed that about 12% of smartphone usage is being used in driving, walking, and on the street. In addition, we analyzed the response rate of smartphone notification in risk situations and confirmed that user responds the smartphone notifications in real-time even in risk situations. Therefore, it is required to present a system that intervenes the use of smartphone in order to protect smartphone users in risk situations. In this paper, we classify risk situations of using smartphone. Also, the proposed smartphone intervention system is designed to periodically detect risk situations. In risk situations, smartphone function can be restricted according to user setting of smartphone. And smartphone can be used normally when safe situation is restored.