• 동아시아식생활학회지
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• 제25권3호
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• pp.539-547
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• 2015

This study investigated elementary school students' perception and recognition of soybean foods and assessed their intake levels of isoflavones. A survey was administered to 300 sixth grade students in Daegu. The amount of isoflavones consumed by students was estimated by food intake frequency and the 24-hour recall method based on their general dietary habits and perception of soybean foods. Subjects' mean height was 152.2 cm, mean weight was 45.2 kg, and body mass index was $19.4kg/m^2$. All subjects had knowledge of soybeans and most preferred bean-paste pot stew of all soybean-based foods. Students typically ingested isoflavones two or three times per week in the forms of tofu, bean-paste pot stew, and bean sprouts. The average amount of isoflavones consumed from soy foods was 26.43 mg/day (daidzein 9.27 mg/day and genistein 17.16 mg/day) as assessed by food frequency questionnaire and 30.83 mg/day (daidzein 13.63 mg/day and genistein 16.40 mg/day) by the 24-hour recall method, showing that the 24-hour recall method assessment amount was 4.4 mg higher than that of the food frequency questionnaire. The major food sources of isoflavones were soybean paste and soybeans. Those who were especially knowledgeable about soybean foods expressed the view that these sources were a good or affordable enriched source of isoflavones.

• Asian review of World Histories
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• 제4권1호
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• pp.3-34
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• 2016

This introduction is both a statement of a research problem and an account of the first research results for its solution. As more historical databases come online and overlap in coverage, we need to discuss the two main issues that prevent 'big' results from emerging so far. Firstly, historical data are seen by computer science people as unstructured, that is, historical records cannot be easily decomposed into unambiguous fields, like in population (birth and death records) and taxation data. Secondly, machine-learning tools developed for structured data cannot be applied as they are for historical research. We propose a complex network, narrative-driven approach to mining historical databases. In such a time-integrated network obtained by overlaying records from historical databases, the nodes are actors, while thelinks are actions. In the case study that we present (the world as seen from Venice, 1205-1533), the actors are governments, while the actions are limited to war, trade, and treaty to keep the case study tractable. We then identify key periods, key events, and hence key actors, key locations through a time-resolved examination of the actions. This tool allows historians to deal with historical data issues (e.g., source provenance identification, event validation, trade-conflict-diplomacy relationships, etc.). On a higher level, this automatic extraction of key narratives from a historical database allows historians to formulate hypotheses on the courses of history, and also allow them to test these hypotheses in other actions or in additional data sets. Our vision is that this narrative-driven analysis of historical data can lead to the development of multiple scale agent-based models, which can be simulated on a computer to generate ensembles of counterfactual histories that would deepen our understanding of how our actual history developed the way it did. The generation of such narratives, automatically and in a scalable way, will revolutionize the practice of history as a discipline, because historical knowledge, that is the treasure of human experiences (i.e. the heritage of the world), will become what might be inherited by machine learning algorithms and used in smart cities to highlight and explain present ties and illustrate potential future scenarios and visionarios.

• 한국생활과학회지
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• 제5권1호
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• pp.43-53
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• 1996

The purpose of this study was to investigate the actual condition of fashion sales related persons and analyze their different role recognition in women's Ready-To-Wear shops. A questionnaire was administered to 378 fashion sales related persons in department stores and individual shops. Data were analyzed by using crosstabs, $X^2$, t-test, Scheffe's test and ANOVA by using of SPSS PC program. The results of this study were as follows: 1. In the role of fashion salespersons, managers participated highly in the merchandise buying plan, actual merchandise buying and advertisement, and shopmasters participated in the management of salespersons and keeping good relation with customers and display. 2. There was significant difference according to the existence of shopmasters in sales promotion. Shops with shopmasters had regular sales and filed up customer cards. 3. Shopmasters and salespersons attached importance to fashion information, market information, sales result information, and managers attached importance to customer information, enterprise environment information in utilizing of informations. Managers considered customer survey very important but shopmasters and salespersons did not. Shopmasters, managers, and salespersons all attached importance to customers' preference survey as customers' information source. 4. There were significant differences in lifestyle survey, buying method survey, preference survey, street fashion survey, brand identity survey and advertizement effect survey of customers by the different roles of fashion salespersons. 5. There were significant differences in the degree of merchandise knowledge, service and after service in sales service recognition by the different roles of fashion salespersons.

• 유통과학연구
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• 제14권10호
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• pp.165-178
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• 2016

Purpose - This study aims to empirically verify the impact of media richness, social presence, and prior life satisfaction on various continual usage or withdrawal behaviors of SNS users via both a positive path of satisfaction and a negative path of relative deprivation. By identifying these causal paths, we observe dynamic interactions of SNS user psychology in a balanced view, and provide some implications about design principles for SNS providers. Research design, data, and methodology - We developed 16 hypothesis based on media richness theory, social presence theory, social comparison theory, the literature about relative deprivation, and the literature about the various reactions of IS users. The rich SNS media, social presence recognition among peer SNS users, and prior life satisfaction could generate positive experience, attitude, and virtuous behavioral intentions among SNS users. At the same time, rich media, low social presence, and low prior life satisfaction could generate relative deprivation and could increase withdrawal behavioral intentions such as refusal to provide information, misrepresentation of information, and removal of uploaded information in SNS. Scenario surveys were conducted to collect data from potential SNS users. Data from 357 surveys were collected and analyzed through a PLS algorithm to test the hypotheses. Results - Media richness, social presence, and prior life satisfaction could significantly increase perceived enjoyment, satisfaction, and behavioral intention of continual usage and knowledge sharing. They also could significantly decrease refusal and misrepresentation intention. Relative deprivation is significantly decreased only by prior life satisfaction. Relative deprivation could not significantly decrease satisfaction, but it could significantly increase misrepresentation and removal intention, which could be regarded as information distortion intention. Conclusions - SNS providers should focus on developing rich media and social presence support because these two variables could impact the positive experiences of SNS users. Moreover, the positive experiences could heavily influence SNS user behavior. Some management is needed to prevent relative deprivation and its consequences of misrepresentation and removal intention. SNS providers should prevent SNS users from excessive image misrepresentation and removal as this information distortion could be the source of relative deprivation.

• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2004년도 춘계학술대회
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• pp.175-201
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• 2004

In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement (DISR 2000, 20010, launched by the Australian Prime Minister in January 2001, commits an additional $\$3$ billion over five years to encourage and support innovation. The Australian Government aims to build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity. It develops policies and programs to enhance investment in innovation. The Australian Government has establisher a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around $\$400$ million a year. This cost is expected to rise to over half a billion by 2005-06 (Commonwealth of Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.

• 대한예방한의학회지
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• 제20권3호
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• pp.83-91
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• 2016

Objectives : The Levator Ani Muscles Training(LAMT) is one of the well known very effective prevention and treatment method of some specific diseases in the anal organs, digestion system, urinary organs and genital organs, which means LAMT could be considered as an independent exercise. Methods : Chinese databases were searched and found one good source named CNKI(China National Knowledge Infrastructure) where there were downloaded 154 articles, out of which were finally selected 82 used for the introduction of the historical background, health-effectiveness, working mechanism, training methods, etc. Results : LAMT as an independent exercise, is considered very effective for the prevention of diseases in the anal organs, e.g. hemorrhoids, anal fissure, rectal prolapse; urinary organs, e.g. urinary incontinence, frequent micturition; digestion system, e.g. visceroptosis, diarrhea, chronic enteritis; genital organs, e.g. prostatitis, impotence, premature ejaculation, feminine vaginal relaxation, sexual indifference, etc. It is also told LAMT is effective for coronary heart disease, hyperyension and varicose veins of lower extremity to a certain degree. LAMT is also very similar to the Kegel exercise in couple of aspects. They are equally effective for the urinary incontinence and impotence. Conclusions : LAMT as an independent exercise has developed and become more and more health-effective, especially through the combination with the Qigong exercise, and thus many training methods have been introduced. There are not many scientific research and development with very limited accomplishments even in China. It is strongly required to strengthen the research and development activities so that LAMT will become one of the very effective natural healing soonest possible.

• International Journal of Contents
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• 제12권1호
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• pp.25-43
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• 2016

An agent-centric event planning method is proposed for providing pedagogical experiences in an immersed environment. Two-level planning is required at in a macro-level (i.e., inter-event level) and an intra-event level to provide realistic experiences with the objective of learning declarative knowledge. The inter-event (horizontal) planning is based on search, while intra-event (vertical) planning is based on hierarchical decomposition. The horizontal search is dictated by several realistic types of association between events besides the conventional causality. The resulting schematic plan is further augmented by conditions associated with those agents cast into the roles of the events identified in the plan. Rather than following a main story plot, all the events potentially relevant to accomplishing an initial goal are derived in the final result of our planning. These derived events may progress concurrently or digress toward a new main goal replacing the current goal or event, and the plan could be merged or fragmented according to their respective lead agents' intentions and other conditions. The macro-level coherence across interconnected events is established via their common background world existing a priori. As the pivotal source of event concurrency and intricacy, agents are modeled to not only be autonomous but also independent, i.e., entities with their own beliefs and goals (and subsequent plans) in their respective parts of the world. Additional problems our method addresses for augmenting pedagogical experiences include casting of agents into roles based on their availability, subcontracting of subsidiary events, and failure of multi-agent event entailing fragmentation of a plan. The described planning method was demonstrated by monitoring implementation.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.1
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• pp.331-334
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• 2003

Photovoltaics is considered as one of the most promising new energy technology, because its energy source is omni present, pollution-free and inexhaustive. It is agreed that these solar cells must be thin film type because thin film process is cost-efficive in the fact that it uses much less raw materials and can be continuous. The defect chalcopyrite material $CuIn_3Se_5$ has been identified as playing an essential role in efficient photovoltaic action in $CuInSe_2$-based devicesm It has been reported to be of n-type conductivity, forming a p-n junction with its p-type counterpart $CuInSe_2$. Because the most efficient cells consist of the $Cu(In,Ga)Se_2$ quarternary, knowledge of some physical properties of the Ga-containing defect chalcopyrite $Cu(In,Ga)_3Se_5$ may help us better understand the junction phenomena in such devices.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.171-180
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• 2021

Currently, hospitals and medical practices have a large amount of unstructured information, gathered in time at each ward or practice by physicians in a wide range of medical branches. The data requires processing in order to be able to extract relevant information, which can be used to improve the medical system. It is useful for a physician to have access to a patient's entire medical history when he or she is in an emergency situation, as relevant information can be found about the patient's problems such as: allergies to various medications, personal history, or hereditary collateral conditions etc. If the information exists in a structured form, the detection of diseases based on specific symptoms is much easier, faster and with a higher degree of accuracy. Thus, physicians may investigate certain pathological profiles and conduct cohort clinical trials, including comparing the profile of a particular patient with other similar profiles that already have a confirmed diagnosis. Involving information technology in this field will change so the time which the physicians should spend in front of the computer into a much more beneficial one, providing them with the possibility for more interaction with the patient while listening to the patient's needs. The expert system, described in the paper, is an application for medical diagnostic of the most frequently met conditions, based on logical programming and on the theory of probabilities. The system rationale is a search item in the field basic knowledge on the condition. The web application described in the paper is implemented for the ward of pathological anatomy of a hospital in Romania. It aims to ease the healthcare staff's work, to create a connection of communication at one click between the necessary wards and to reduce the time lost with bureaucratic proceedings. The software (made in PHP programming language, by writing directly in the source code) is developed in order to ease the healthcare staff's activity, being created in a simpler and as elegant way as possible.

• 한국지리정보학회지
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• 제8권2호
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• pp.125-135
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• 2005

비점오염 발생은 강우에 의한 지표면 유출과 밀접한 관련이 있는 관계로 모형을 이용한 비점오염 해석은 먼저 유역의 강우-유출의 명확한 관계해석을 필수조건으로 한다. 본 연구는 비점오염 모의에 많이 사용되고 있는 AnnAGNPS 모형의 다양한 유역특성별 강우-유출해석능력을 평가해 보았다. 결과를 통해 AnnAGNPS 모형은 대유역 모의에 적합하며 소유역 및 강우에 대한 유역의 반응시간이 짧은 불투수층이 많은 유역에 적용하는 것은 적합하지 않은 것으로 드러났다. 특히, AnnAGNPS 모형은 모의에 사용하는 시간간격 이 일단위(daily basis)이므로 하루보다 짧은 지속시간의 복합첨두치(mutiple peak flow)를 가지는 강우사상을 표현하는 기능이 없으며 따라서 첨두유량 예측에 상당한 오차 발생의 원인으로 드러났다. 또한 유출해석에 사용되는 CN방법은 지역적인 특성에 맞게 구축된 CN정보가 없는 관계로 초기치 선택에 신중함이 요구되며, 강우의 분포형과 더불어 반드시 주요 검정대상으로 다루어져야 할 매개변수였다.