• Title/Summary/Keyword: traditional knowledge data

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A pilot study using machine learning methods about factors influencing prognosis of dental implants

  • Ha, Seung-Ryong;Park, Hyun Sung;Kim, Eung-Hee;Kim, Hong-Ki;Yang, Jin-Yong;Heo, Junyoung;Yeo, In-Sung Luke
    • The Journal of Advanced Prosthodontics
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    • v.10 no.6
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    • pp.395-400
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    • 2018
  • PURPOSE. This study tried to find the most significant factors predicting implant prognosis using machine learning methods. MATERIALS AND METHODS. The data used in this study was based on a systematic search of chart files at Seoul National University Bundang Hospital for one year. In this period, oral and maxillofacial surgeons inserted 667 implants in 198 patients after consultation with a prosthodontist. The traditional statistical methods were inappropriate in this study, which analyzed the data of a small sample size to find a factor affecting the prognosis. The machine learning methods were used in this study, since these methods have analyzing power for a small sample size and are able to find a new factor that has been unknown to have an effect on the result. A decision tree model and a support vector machine were used for the analysis. RESULTS. The results identified mesio-distal position of the inserted implant as the most significant factor determining its prognosis. Both of the machine learning methods, the decision tree model and support vector machine, yielded the similar results. CONCLUSION. Dental clinicians should be careful in locating implants in the patient's mouths, especially mesio-distally, to minimize the negative complications against implant survival.

LC/MS-based Analysis of Bioactive Compounds from the Bark of Betula platyphylla var. japonica and Their Effects on Regulation of Adipocyte and Osteoblast Differentiation

  • Baek, Su Cheol;Choi, Eunyong;Eom, Hee Jeong;Jo, Mun Seok;Kim, Sil;So, Hae Min;Kim, Seon-Hee;Kang, Ki Sung;Kim, Ki Hyun
    • Natural Product Sciences
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    • v.24 no.4
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    • pp.235-240
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    • 2018
  • Betula platyphylla var. japonica (Betulaceae), also known as Asian white birch, is an endemic medicinal tree, the bark of which has been used in Chinese traditional medicine for the treatment of various inflammatory diseases. In our continuing search for bioactive compounds from Korean natural resources, a phytochemical investigation of the bark of B. platyphylla var. japonica led to the isolation of 7-oxo-${\beta}$-sitosterol (1) and soyacerebroside I (2) from its ethanol extract as main components by liquid chromatography (LC)/mass spectrometry (MS)-based analysis. The structures of isolates were identified by comparison of $^1H$ and $^{13}C$ nuclear magnetic resonance spectroscopic data and physical data with the previously reported values and LC/MS analyses. To the best of our knowledge, this is the first study to demonstrate that the isolated compounds, 7-oxo-${\beta}$-sitosterol and soyacerebroside I, were isolated in B. platyphylla var. japonica. We examined the effects of the isolates on the regulation of adipocytes and osteoblast differentiation. These isolates (1 and 2) produced fewer lipid droplets compared to the untreated negative control in Oil Red O staining of the mouse mesenchymal stem cell line without altering the amount of alkaline phosphatase staining. The results demonstrated that both compounds showed marginal inhibitory effects on adipocyte differentiation but did not affect osteoblast differentiation.

A Study on Hardiness, Knowledge of Menopause, Menopausal Management among Middle Aged Women (중년여성의 강인성, 폐경지식과 폐경관리에 관한 연구)

  • Shin, Hye-Sook;Kown, Sook-Hee
    • Women's Health Nursing
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    • v.5 no.2
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    • pp.247-261
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    • 1999
  • The purpose of this study was to figure out related factors to the self-reported climacteric symptoms and the relationship among the health promoting behaviors, climacteric symptoms and degree of Sanhujori, the Korean traditional postpartal care. A cross-sectional survey design was employed in this study. The subjects were 108 middle-aged women who were non-hystrectomized and ranged in age from 40 to 60 years. They were selected in seoul and Kyoung-ki province, Korea, Data were collected from Oct.25 Nov. 10, 1997 by a structured questionnaire. The instruments used for this study were the revised health Promotion Lifestyle(HPLP) developed by Walker, Sechrist & Pender, and revised Climacteric Symptoms Scale developed by Chi, Sung Ai. the data were analyzed by the SPSS/$PC^+$ program using t-test, ANOVA and Scheffe test as a post hoc and Pearson Correlation Coefficient. The results of the study were as follows ; 1. The mean score of health promoting behaviors was low($2.42{\pm}0.35$). There were statistically significant differences in the score of health promoting behaviors according to the educational background, family income, marital satisfaction, whether or not taking a restorative food and degree of Sanhujori, especially the period (t=-2.07, F=2.60~7.57, p<0.05). 2. The mean score of score self-reported climacteric symptoms was 1.69%;99% of middle-aged women had symptoms. There were statically significant differences in the score of middle -aged women's self-reported climacteric symptoms according to the age, number of children, educational background, occupation, family income, marital satisfaction, whether or not receiving hormon replacement therapy (HRT) or consultation by a professional, perceived health status and self evaluation of Sanhujori(t=-2.04~3.69, F=2.87~11.63, p<0.05). 3. women's degree of Sanhujori was a positive correlation with health promoting behaviors(r=0.34, p=0.00) and negative correlation with the degree of self-reported climacteric symptoms(r=-0.19,p=0.03). 4. The influencing factors to the climacteric symptoms were self actualization, interpersonal support, and perceived health status among the health promoting behaviors with 57% of variance($R^2$=0.57). 5. The middle-aged women's type of coping pattern for the climacteric symptoms was classified as active behavioral coping, spiritual & psychological coping, and negative coping. In conclusion, to intervene the middle aged women's climacteric symptoms and develop nursing strategies for their health, health promoting behavior, especially ; self actualization, interpersonal support, and perceived health status should be considered. And, as the primary prevention strategy for women's health during the period of childbearing and also middle age, especially for the climacteric symptoms, Sanhujori should be reconsidered.

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Prioritizing for Failure Modes of Dynamic Positioning System Using Fuzzy-FMEA (Fuzzy-FMEA를 이용한 동적위치제어 시스템의 고장유형 우선순위 도출)

  • Baek, Gyeongdong;Kim, Sungshin;Cheon, Seongpyo;Suh, Heungwon;Lee, Daehyung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.174-179
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    • 2015
  • Failure Mode and Effects Analysis (FMEA) has been used by Dynamic Positioning (DP) system for risk and reliability analysis. However, there are limitations associated with its implementation in offshore project. 1) since the failure data measured from the SCADA system is missing or unreliable, assessments of Severity, Occurrence, Detection are based on expert's knowledge; 2) it is not easy for experts to precisely evaluate the three risk factors. The risk factors are often expressed in a linguistic way. 3) the relative importance among three risk factors are rarely even considered. To solve these problems and improve the effectiveness of the traditional FMEA, we suggest a Fuzzy-FMEA method for risk and failure mode analysis in Dynamic Positioning System of offshore. The information gathered from DP FMEA report and DP FMEA Proving Trials is expressed using fuzzy linguistic terms. The proposed method is applied to an offshore Dynamic Positioning system, and the results are compared with traditional FMEA.

A review of artificial intelligence based demand forecasting techniques (인공지능 기반 수요예측 기법의 리뷰)

  • Jeong, Hyerin;Lim, Changwon
    • The Korean Journal of Applied Statistics
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    • v.32 no.6
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    • pp.795-835
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    • 2019
  • Big data has been generated in various fields. Many companies have now tried to make profits by building a system capable of analyzing big data based on artificial intelligence (AI) techniques. Integrating AI technology has made analyzing and utilizing vast amounts of data increasingly valuable. In particular, demand forecasting with maximum accuracy is critical to government and business management in various fields such as finance, procurement, production and marketing. In this case, it is important to apply an appropriate model that considers the demand pattern for each field. It is possible to analyze complex patterns of real data that can also be enlarged by a traditional time series model or regression model. However, choosing the right model among the various models is difficult without prior knowledge. Many studies based on AI techniques such as machine learning and deep learning have been proven to overcome these problems. In addition, demand forecasting through the analysis of stereotyped data and unstructured data of images or texts has also shown high accuracy. This paper introduces important areas where demand forecasts are relatively active as well as introduces machine learning and deep learning techniques that consider the characteristics of each field.

An Exploratory Study on the Big Data Convergence-based NCS Homepage : focusing on the Use of Splunk (빅데이터 융합 기반 NCS 홈페이지에 관한 탐색적 연구: 스플렁크 활용을 중심으로)

  • Park, Seong-Taek;Lee, Jae Deug;Kim, Tae Ung
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.107-116
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    • 2018
  • One of the key mission is to develop and prompte the use National Competency Standards, which is defined to be the systemization of competencies(knowledge, skills and attitudes) required to perform duties at the workplace by the nation for each industrial sector and level. This provides the basis for the design of training and detailed specifications for workplace assessment. To promote the data-driven service improvement, the commercial product Splunk was introduced, and has grown to become an extremely useful platform because it enables the users to search, collect, and organize data in a far more comprehensive, far less labor-intensive way than traditional databases. Leveraging Splunk's built-in data visualization and analytical features, HRD Korea have built custom tools to gain new insight and operational intelligence that organizations have never had before. This paper analyzes the NCS homepage. Concretely, applying Splunk in creating visualizations, dashboards and performing various functional and statistical analysis and structure without Web development skills. We presented practical use and implications through case studies.

A Study on Continuous Monitoring Reinforcement for Sales Audit Using Process Mining Under Big Data Environment (빅데이터 환경에서 프로세스 마이닝을 이용한 영업감사 상시 모니터링 강화에 대한 연구)

  • Yoo, Young-Seok;Park, Han-Gyu;Back, Seung-Hoon;Hong, Sung-Chan
    • Journal of Internet Computing and Services
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    • v.17 no.6
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    • pp.123-131
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    • 2016
  • Process mining in big data environment utilize a number of data were generated from the business process. It generates lots of knowledge and insights regarding implementation and improvement of the process through the event log of the company's enterprise resource planning (ERP) system. In recent years, various research activities engaged with the audit work of company organizations are trying actively by using the maximum strength of the mining process. However, domestic studies on applicable sales auditing system for the process mining are insufficient under big data environment. Therefore, we propose process-mining methods that can be optimally applied to online and traditional auditing system. In advance, we propose continuous monitoring information system that can early detect and prevent the risk under the big data environment by monitoring risk factors in the organizations of enterprise. The scope of the research of this paper is to design a pre-verification system for risk factor via practical examples in sales auditing. Furthermore, realizations of preventive audit, continuous monitoring for high risk, reduction of fraud, and timely action for violation of rules are enhanced by proposed sales auditing system. According to the simulation results, avoidance of financial risks, reduction of audit period, and improvement of audit quality are represented.

Study on Folk Caring in Korea for Cultural Nursing (문화간호를 위한 한국인의 민간 돌봄에 대한 연구 : 출생을 중심으로)

  • 고성희;조명옥;최영희;강신표
    • Journal of Korean Academy of Nursing
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    • v.20 no.3
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    • pp.430-458
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    • 1990
  • Care is a central concept of nursing. Nursing would not exist without caring. Care and quality of life are closely related. Human behavior is a manifestation of culture. We can say that caring and nursing care are expression of culture. The nurse must understand the relationship of culture with care for ensure quality nursing care. But knowledge of cultural factors in nursing is not well developed. Time and in - depth study are needed to find meaningful relationships between culture and care. Nurses recognized the importance of culturally appropriate nursing There are two care systems in culturally based nursing. The folk care system and the professional nursing care system. The folk care system existed long before the professional nursing care system was introduced into this culture. If the discrepancy between these two care systems is great, the client may receive inappropriate nursing care. Culture and subcaltures are diverse and dynamic in nature. Nurses need to know the caring behaviors, patterns, and their meaning in their own culture. In Korea we have taken some first step to study cultural nursing phenomena. It is not our intent necessarily to return to the past and develop a nationalistic of nursing, but to identify the core of traditional caring and relate that to professional nursing care. Our Assumptions are as follows : 1) Care is essential for human growth, well being and survial. 2) 7here are diverse and universal forma, expressions, patterns, and processes of human care that exist transcul - turally. 3) The behaviors and functions of caring differ according to the social structure of each culture. 4) Cultures have folk and professional care values, beliefs, and practices. To promote the quality of nursing care we must understand the folk care value, beliefs, and practices. We undertook this study to understand caring in our traditional culture. The Goals of this study were as follows : 1) To identify patterns in caring behavior, 2) To identify the structural components of caring, and 3) To understand the meaning and some principles of caring. We faised several questions in this study. Who is the care-giver? Who is the care-receipient? Was the woman the major care -giver at any time? What are the patterns in caring behavior? What art the priciples underlying the caring process? We used an interdisciplinary team approach, composed of representatives from nursing and anthropology, to contribute in -depth understanding of caring through a socicaltural perspeetive. A Field study was conducted in Ro-Bong, a small agricultural kinship village. The subjects were nine women and one man aged be or more years of age. Data were collected from january 15 to 21, 1990 through opem-ended in-depth interviews and observations. The interview focused on caring behaviors sorrounding birth, aging, death and child rearing. We analysed these data for meaning, pattern and priciples of caring. In this report we describe caring behaviors surrounding childbirth. The care-givers were primarily mothers- in -low, other women in the family older than the mother - to- be, older neighbor woman, husbands, and mothers of the mother-to- be. The care receivers were the mother-to-be the baby, and the immediate family as a component of kinship. Emerging caring behavior included praying, helping proscribing, giving moral advice(Deug - Dam), showing concern, instructing, protecting, making preparations, showing consideration, touching, trusting, encouraging, giving emotional comfort, being with, worrying about, being patient, preventing problems, showing by an example, looking after bringing up, taking care of postnatal health, streng thening the health condition, entering into another's feelings(empathizing), and sharing food, joy and sorrow The emerging caring component were affection, touching, nurtuing, teaching, praying, comforting, encouraging, sharing. empathizing, self - discipline, protecting, preparing, helping and compassion. Emerging principles of. caring were solidarity, heir- archzeal relationships, sex - role distinction. Caring during birth expresses the valve of life and reflects the valued traditional beliefs that human birth is given by god and a unique unifying family event reaching back to include the ancestors and foreward to later generations. In addition, We found positive and rational foundations for traditionl caring behaviors surrounding birth, these should not be stigmatized as inational or superstitious. The nurse appropriately adopts the rational and positive nature of traditional caring behaviors to promote the quality of nursing care.

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The Direct Sequence Spread Spectrum Signal Detection Using The Triple Correlation Estimator Value (3차 상관 추정치를 이용한 직접 시퀀스 확산대역 신호의 검출)

  • 임연주;조영하;박상규;임정석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.8C
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    • pp.1025-1033
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    • 2004
  • This paper covers the detection of covert direct sequence spread spectrum signal without the PN(Pseudo Noise) code information. Due to its low probability of interception, the difficulty of spectrum surveillance increases. Detection parameters are the signal existence of given bandwidth, the length of spreading sequence used by transmitter, and the identification of spreading code for detected chip length. The triple correlation function(TCF) value which is one of the higher order statistical signal processing techniques can be used to detect spread spectrum signal without a prior knowledge, but, it has weakness that TCF results depend on the spread data sequence in actual application. This paper proposes the new scheme that not only overcomes the weakness but also presents better performance than the traditional TCF scheme. The performance comparison of conventional TCF with proposed technique shows that the triple correlation estimator(TCE) has better detection capability.

Implementation of Smart Collaboration Environment Framework (지능형 협업 환경 프레임워크 구현)

  • Han, Sang-Woo;Kim, Nam-Gon;Choi, Ki-Ho;Ko, Su-Jin;Bae, Chang-Hyeok;Kim, Jong-Won
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.1
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    • pp.40-51
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    • 2008
  • To realize advanced collaboration environments for knowledge workers distributed geographically, there are extensive researches in ubiquitous computing environments. Especially, to cope with several known problems in traditional collaboration tools such as limited display resolution, uncomfortable shared documentation, difficult operation of collaboration environments, various approaches are attempted in the aspect of framework design. In this paper, we design a framework for collaboration environments covering hardware/software/networking architecture to flexibly coordinate a set of collaboration services and devices considering users' expectation and node capabilities. Based on the proposed framework, we develop the collaboration environment supporting the interactive networked tiled display enabling media/data sharing via networking, display interaction using pointing/tracking, and high-resolution tiled display. Finally the demonstration of the developed prototype is introduced to prove the possibility of its realization.