• Journal of Korean Society on Water Environment
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• v.31 no.6
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• pp.693-699
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• 2015

It has been known that torrential rainfall events have been occurring worldwide due to climate change. The accelerated soil erosion has caused negative impacts on water quality and ecosystem of receiving waterbodies. Since soil security issues have been arising in various areas of the world, intensive interests have been given to topsoil management in Korea. Thus in this study, Web GIS-based computing system of physical, chemical, and biological topsoil quality indices were developed. In this study, five soil quality maps at national scale and top soil erosion potential were prepared for evaluation of soil quality based on soil erosion potential. For this system, the open source Web GIS engine, OpenGeo, was used as core engine of the system. With this system, decision makers or related personnel in areas of soil erosion Best Management Practices (BMPs) would be able to find the most appropriate soil erosion BMPs based on soil erosion potential and soil quality at the area of interest. The Web GIS system would be efficiently used in decision making processes because of ease-of-use interface and scientific data used in this system. This Web GIS system would be efficiently used because this system could provide scientific knowledge to decision makers or stakeholders. Currently various BMP database are being built to be used as a decision support system in topsoil management and topsoil quality areas.

• Journal of the Korean Society of Food Culture
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• v.28 no.5
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• pp.438-449
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• 2013

During the Joseon Dynasty, medicinal foods derived from herbs were often more effective than traditional medicines. In addition, the royal family of the Joseon Dynasty believed that foods could be used as various disease treatments. Grain-based foods, especially medicinal porridges (藥粥), were most frequently used for diet therapy. We investigated various types of diet-related diseases suffered by King Injo (仁祖) as well as how the diseases were treated using medicinal porridges based on information in the SeungjeongwonIlgi (承政院日記), which is the daily record of the Royal Secretariat of the Joseon Dynasty. This study examined the SeungjeongwonIlgi of King Injo from his1st year (1623) to 27th year (1649) on a website database maintained by the National Institute of Korean History. According to the records, King Injo suffered from severe diarrhea several times due mainly to febrile disease (煩熱症) as well as abdominal dropsy (脹滿) throughout his entire life. Major diseases affecting King Injo were due to his unhealthy eating habits and psychological factors. For treatment, royal doctors prescribed around 15 medicinal porridges, including nelumbo (seed) porridge (Yeonja-juk), milk porridge (Tarak-juk), Chinese dioscorea porridge (Sanyak-juk), mungbean porridge (Nokdu-juk), perilla seed porridge (Imja-juk), adzuki-bean porridge (Pat-juk), soybean porridge (Kong-juk), Korean-leek porridge (Buchu-juk), and so on, in addition to other medical treatments. Diet therapy using medicinal porridges has been used throughout history since the Joseon Dynasty period. However, knowledge of traditional diet therapy and medicinal porridges used by monarchs in the Joseon Dynasty is insufficient. Therefore, in-depth study is needed to understand the theory of traditional medicinal foods as well as explore their application to patients in the context of modern medicine.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.2
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• pp.189-196
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• 2010

Spatial information and smart phone technology have made innovative improvement of daily life. Spatial and geographic information are in practice for various applications. Especially, spatial information along with information and telecommunication technology could create new contents for providing services for convenient daily life. Spatial information technology, recently, is not only for acquiring location and attribute data but also providing tools to extract information and knowledge systematically for decision making. Various indoor applications have emerged in accordance with demands on daily GIS(Geographic information system). This paper aims for applying spatial information technology to support decision-making in shopping. The main contents include product database, optimal path search, shopping time expectation, automatic housekeeping book generation and analysis. Especially for foods, function to analyze information of the nutrition facts could help to improve dietary pattern and well-being. In addition, this system is expected to provide information for preventing overconsumption and impulse purchase could help economical and effective purchase pattern by analyzing propensity to consume.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.6
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• pp.765-777
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• 2002

For the battlefield analysis, it is required to get correct information about the identification and moving status of target enemy units. However, it is difficult for us to collect all of the information perfectly, because of the technology of communications, jamming, and tactics. Therefore, we need a reasoning function that predicts and analyzes future moving status for target units by using collected moving information and domain knowledge. Especially. since the moving units have characteristics of moving objects, which change their position and shape over time, they require functions to manage and predict locations of moving objects. Therefore, in this paper, we propose a location prediction system of moving units for battlefield analysis. The proposed system not only predicts unknown units, unidentified units, and main strike directions to application domain for battlefield analysis, but also estimates the past or future locations of moving objects not stored in a database.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1196-1213
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• 2020

There is a growing interest in the development of smart environments through predicting the behaviors of inhabitants of smart spaces in the recent past. Various smart services are deployed in modern smart cities to facilitate residents and city administration. Prediction algorithms are broadly used in the smart fields in order to well equip the smart services for the future demands. Hence, an accurate prediction technology plays a vital role in the smart services. In this paper, we take out an extensive survey of smart spaces such as smart homes, smart farms and smart cars and smart applications such as smart health and smart energy. Our extensive survey is based on more than 400 articles and the final list of research studies included in this survey consist of 134 research papers selected using Google Scholar database for period of 2008 to 2018. In this survey, we highlight the role of prediction algorithms in each sub-domain of smart Internet of Things (IoT) environments. We also discuss the main algorithms which play pivotal role in a particular IoT subfield and effectiveness of these algorithms. The conducted survey provides an efficient way to analyze and have a quick understanding of state of the art work in the targeted domain. To the best of our knowledge, this is the very first survey paper on main categories of prediction algorithms covering statistical, heuristic and hybrid approaches for smart environments.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.5
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• pp.392-401
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• 2001

Nowadays, the amount of image data increase explosively. To manage the large amount of image data efficiently, high-dimensional index structures are necessary. However, as my knowledge none of existing DBMSs supports high-dimensional index structures as access methods of DBMSs. In this paper, we design and implement CIR-Tree as a access method for retrieving image data effectively on the MiDAS-III that is the storage subsystem of the BADA-III. The implemented CIR-Tree manager shows much better retrieval performance than sequential search in performance evaluation.

• The Korean Journal of Cytopathology
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• v.18 no.1
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• pp.13-19
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• 2007

An aim of this study was to evaluate an effect of misinterpretation of pregnancy related cellular changes on the postpartum regression rate of abnormal cervical smears in pregnancy. A series of 265 cases with abnormal cervical smears in pregnancy were selected from a database of cervical smear results. The selected cases were classified as regression, persistence, and progression based on the results of postpartum cervical smears and histology. Of the selected cases, 162 cases were classified as regression and the postpartum regression rate was 61.1% (162/265). We reviewed abnormal cervical smears in pregnancy these cases. The primary cytologic diagnoses of these cases were ASCUS (118 cases), AGUS (2 cases), ASCUS/AGUS (1 case), LSIL (25 cases), LSIL R/O HSIL (2 cases), and HSIL (14 cases). With information of the pregnacy, we identified decidual cells in 24 cases, but cells identified by the Arias-Stella reaction and trophoblasts were not found. Sixteen cases out of 162 cases were reclassified as a pregnancy related change rather than an abnormal. Desidual cells were considered as ASCUS in 15 cases and as LSIL in one case. The revised postpartum regression rate was 55.5%(147/265) and was lower than the original. Consequently, misinterpretation of the pregnancy related cellular changes has an effect on a rise of the postpartum regression rate of the abnormal cervical smear in pregnancy. Pathologists may diagnose pregnancy related cellular changes as abnormal findings if they do not have information regarding the pregnancy. Therefore, clinical information of pregnancy and knowledge about the pregnancy related cellular changes are essential to prevent misinterpretation.

• Journal of Pharmacopuncture
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• v.20 no.1
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• pp.5-9
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• 2017

Objectives: Gan Mai Da Zao (GMDZ) decoction is widely used for the treatment of various diseases of the internal organ and of the central nervous system. The aim of this study is to investigate the effects of GMDZ decoction on neuropsychiatric disorders in an animal model. Methods: We searched seven databases for randomized animal studies published until April 2015: Pubmed, four Korean databases (DBpia, Oriental Medicine Advanced Searching Integrated System, Korean Studies Information Service System, and Research Information Sharing Service), and one Chinese database (China National Knowledge Infrastructure). The randomized animal studies were included if the effects of GMDZ decoction were tested on neuropsychiatric disorders. All articles were read in full and extracted predefined criteria by two independent reviewers. Results: From a total of 258 hits, six randomized controlled animal studies were included. Five studies used a Sprague Dawley rat model for acute psychological stress, post-traumatic stress disorders, and unpredictable mild stress depression whereas one study used a Kunming mouse model for prenatal depression. The results of the studies showed that GMDZ decoction improved the related outcomes. Conclusion: Regardless of the dose and concentration used, GMDZ decoction significantly improved neuropsychiatric disease-related outcomes in animal models. However, additional systematic and extensive studies should be conducted to establish a strong conclusion.

• Korean Journal of Health Education and Promotion
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• v.23 no.4
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• pp.13-28
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• 2006

Objectives: This study used the characteristics of the knowledge discovery and data mining algorithms to develop hypertension predictive model for hypertension management using the Korea National Health Insurance Corporation database(the insureds' screening and health care benefit data). Methods: This study validated the predictive power of data mining algorithms by comparing the performance of logistic regression, decision tree, and ensemble technique. On the basis of internal and external validation, it was found that the model performance of logistic regression method was the best among the above three techniques. Results: Major results of logistic regression analysis suggested that the probability of hypertension was: - lower for the female(compared with the male)(OR=0.834) - higher for the persons whose ages were 60 or above(compared with below 40)(OR=4.628) - higher for obese persons(compared with normal persons)(OR= 2.103) - higher for the persons with high level of glucose(compared with normal persons)(OR=1.086) - higher for the persons who had family history of hypertension(compared with the persons who had not)(OR=1.512) - higher for the persons who periodically drank alcohol(compared with the persons who did not)$(OR=1.037{\sim}1.291)$ Conclusions: This study produced several factors affecting the outbreak of hypertension using screening. It is considered to be a contributing factor towards the nation's building of a Hypertension Management System in the near future by bringing forth representative results on the rise and care of hypertension.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2794-2796
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• 2002

기업 네트워크에서 안전하고 효과적이며 안정된 망 운영관리 환경 제공은 당면한 중요과제이며 기업 경쟁력의 핵심인 정보기술을 통한 생산성과도 연계성을 갖고 있다. 특히 전력통신망의 경우 전자메일, 회계관리, 전자결재, 도면자료관리 등의 데이터 통신망에서부터 IBM 온라인, 사내 방송망, 전력계통설비 원방 제어용 시스템들 간을 연결하는 EMS, SCADA 등 전력 수급용 전용 통신망에 이르기까지 다양한 종류의 통신망이 구축 운용되고 있다. 이러한 기업환경에 따라 네트워크를 효율적으로 관리하기 위한 네트워크 관리 시스템에 대한 관심이 증대되고 있으며 많은 네트워크 관리 시스템들이 도입되어 운영되었으나 이들 관리 시스템들은 모니터링에 의한 통계값 제공과 같은 단순 평면적인 관리 기능만을 제공한 뿐 네트워크의 특성과 환경에 따른 분석, 진단 기능은 제공하지 못하고 있다. 이와 더불어 네트워크 관리자는 보다 손쉬운 방법으로 네트워크를 관리하고자 하며, 보다 지능적이고 효율적으로 관리하고자 한다. 하지만 관리 시스템이 모든 네트워크에 대해 효율적이고 지능적인 관리 기능을 제공하기는 매우 어려우며 이는 장기간의 관리 네트워크의 특성과 트래픽 형태를 파악한 후에나 가능하다. 결국 지능적이고 효율적인 네트워크 관리는 네트워크의 특성과 함께 이전에 관리자에 의해서 내려졌던 관리 행위 및 의견 그리고 조치에 대한 이력정보를 학습하고 있을 때만 가능하다. 본 논문은 전력통신망을 대상으로 전력통신망이 지닌 네트워크 특성을 반영하며 네트워크 운영 과정에서 축적된 관리자의 의견과 이에 대한 조치를 지식 데이터베이스화하여 지능적인 관리 시스템을 제공하기 위한 기반 시스템으로써 전력통신망 운용 관리 지원시스템을 설계 및 구현하였다. 본 시스템은 향후 지식 정보를 학습하고 이를 바탕으로 논리적인 추론을 통해 관리 네트워크를 지능적이고 자동적으로 관리할 수 있는 시스템으로 확대 개발될 것이다.