• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.158-164
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• 2019

Recently many studies to reduce the noise of dental hand piece which generate inevitably mechanical sound to offend to the ear of a patient have been spotlighted. Generally, methods of adding a sound absorbing material inside the exhaust valve, air pump of machine or automobile are widely reported as optimal way to reduce the mechanical noise. In this paper we studied a new UV laser aided manufacturing of micro-porous structure of EPP substrate and applied dental hand piece to improve the efficiency of sound absorption. A lot of micro-sized pores were fabricated with UV laser processing on the surface of sliced EPP substrate. From fundamental experiments, more high-performance of micro-porous EPP substrate has finally demonstrated for sound-absorbing structure of the micro muffler inside dental hand piece, which actually has the excellent potential to apply a lot of potable machine.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.

• Communications for Statistical Applications and Methods
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• v.15 no.4
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• pp.563-585
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• 2008

This paper presents how to improve the efficiency and accuracy in the pricing and sensitivity evaluation for derivatives, since the need for the evaluation of complicated derivatives is increased. The Monte Carlo(MC) simulation using the quasi random number instead of pseudo random number can improve the elapsed time and accuracy for the valuation of European-type derivatives. However, the quasi MC simulation method has its limit for applying it in the multi-dimensional case such as American-type and path-dependent options due to the increased correlation between dimensions as the dimension of random numbers is increased. In order to complement this problem, we develop a modified method in which correlation values are controlled to be below a pre-specified value. Thus, this method is applicable for the pricing of either derivatives ill which underlying assets or risk factors are several or derivatives having path-dependent or early redemption property. Furthermore, we illustrate that it is important to take an appropriate grid interval for the use of finite difference method(FDM) by applying the FDM to one example of non-symmetrical butterfly spreads.

• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.801-812
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• 2021

In order to delivery biotin to skin, ethosomes containing both biotin and ceramide were researched by using high pressure homogenizer. Biotin was utilized as a drug and ceramide NP was utilized as a supporter of bilayer. The biotin was entrapped in aqueous core, while ceramide NP was packed in the bilayer of the ethosomes. Looking at the physical properties of vesicles containing ceramide NP, the sized was 80~130 nm, the polydispersity index was 0.09~0.16, and the zeta potential was -40~-49 mV. In vesicles without ceramide NP, the size was 124.80±1.46 nm, and the zeta potential and polydispersity index were -45.48±1.27 mV and 0.088±0.018, respectively. Therefore, the ethosome with ceramide NP has improved physical properties of vesicles compared to the ethosome without ceramide NP. Skin absorption rates of ethosomes with ceramide NP were 6.13~14.98%, while skin absorption rate of ethosome without ceramide NP was 7.08% at 12 h. In conclusion, ethosomes containing ceramide NP not only improved the skin absorption efficiency, but had also a positive effect on the stability of vesicles.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.17-32
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• 2023

In recent years, the need for social ventures that aim to grow while solving social problems through the efficiency and effectiveness of commercial organizations in the market has increased, while there is a limit to how much the government and the public can do to solve social problems. Against this background, the number of social venture startups is increasing in the domestic startup ecosystem, and interest in impact investors, which are investors in social ventures, is also increasing. Therefore, this research utilized judgment analysis technology to objectively analyze the validity and weight of judgment information based on the cognitive process and decision-making environment in the investment decision-making of impact investors. We proceeded with the research by constructing three classifications; first, investment priorities at the initial investment stage for financial benefit and return on investment as an investor, second, the political skills of the entrepreneurs (teams) for the social impact and ripple power, and social venture coexistence and solidarity, third, the social mission of a social venture that meets the purpose of an impact investment fund. As a result of this research, first of all, the investment decision-making priorities of impact investors are the expertise of the entrepreneur (team), the potential rate of return when the entrepreneur (team) succeeds, and the social mission of the entrepreneur (team). Second, impact investors do not have a uniform understanding of the investment decision-making factors, and the factors that determine investment decisions are different, and there are differences in the degree of the weighting. Third, among the various investment decision-making factors of impact investment, "entrepreneur's (team's) networking ability", "entrepreneur's (team's) social insight", "entrepreneur's (team's) interpersonal influence" was relatively lower than the other four factors. The practical contribution through this research is to help social ventures understand the investment determinant factors of impact investors in the process of financing, and impact investors can be expected to improve the quality of investment decision-making by referring to the judgment cases and analysis of impact investors. The academic contribution is that it empirically investigated the investment priorities and weighting differences of impact investors.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.23 no.2
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• pp.178-184
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• 1990

The lipid components, nitrogenous extracts and amino acids of dark muscle(DM) of ski-pjack (Katsuwonus pelamis) were analyzed and compared with those of white muscle (WM). WM was higher in moisture and crude protein content, and lower in crude lipid and ash content than those of DM. Contents of volatile basic nitrogen in WM and DM were 22.7mg/100g and 46.9mg/100g. Total lipid(TL) of WM and DM consisted of $79.7\%,\;71.9\%$ neutral lipid(NL), $6.8\%,\;9.5\%$ glycolipid(GL), and $13.5\%,\;18.6\%$ phospholipid(PL), respectively NL was mainly com-posed of free fatty acid, triglyceride, and PL was mainly occupied by phosphatidyl ethanolamine, phosphatidyl choline. Also Iysophosphatidyl choline and Iysophosphatidyl ethanolamine were identified in PL. In fatty acid composition of TL, NL, GL and PL, WM revealed higher contents in saturates and monoenes such as 16 : 0, 18 : 1, while DM showed higher contents in polyenes such as 22 : 6 especially. The major fatty acids of these samples were generally 16: 0, 18:0, 18:1, 20:5 and 22 : 6. Contents of total free amino acids from WM and DM were 5,982.3mg/100g and 4,450.7 mg/100g (dry base). Of free amino acids, Tau concentration was much higher in DM than in WM, Ala, Gly, Met, Arg, Thr were also high in DM. But His was much higher in concentration in W. Content of inosinic acid(IMP) in WM(680.9mg/100g) was higher than that of DM(73.1mg/100g). The degradations of IMP proceeded very rapidly in DM. DM contained much higher trimethylamine oxide and trimethylamine than those of WM. The profile of combined amino acids in these samples, were very similar, and main amino acids were Glu, Asp, Lys, Ala, Ile and Arg.

• Science of Emotion and Sensibility
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• v.11 no.2
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• pp.153-172
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• 2008

Products can maintain a high level of market share for many years by succeeding early in the development of a market. To overcome the benefit of pioneering a market, late entrants to the market can use differentiation strategies: developing novel attributes or enhancing preexisted attributes. In general, preexisted attributes are more memorable, but novel attributes can be weighted as heavily as preexisted attributes by contextual constraints. Based on the research of appraisal-congruent judgement, certainty appraisal dimension may affect the degree to which people engage in systematic or heuristic processing. This study examines the effects of alignability (the ease with which the attributes of one object can be aligned or mapped onto another object) of product attributes and certainty on consumer preferences for late entrants. Participants were induced to experience certainty and then completed a questionnaire. As predicted, participants induced certainty were likely to engage in heuristic processing, while participants induced uncertainty were likely to engage in systematic processing. This study provides an implication that companies should additionally consider consumers' feeling of certainty when launching a new brand.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.11-22
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• 2017

This study is focused on five franchise snack bars to create an effective marketing strategy by analyzing the competitive relationships among them and by grasping selection properties that satisfy customers. Discriminant Analysis was utilized to suggest methodological frameworks, and the results show three factors (food quality, employees' service, and physical environment) were extracted that contains twenty five questions. A one-way analysis of variance (ANOVA) was carried out in order to verify if there were statistically meaningful differences in the Franchise snack bars, and post hoc comparisons were conducted using the Duncan method. In addition, Multidimensional Scaling (MDS) was used to measure brand similarity, selection attributes, and brand preferences. The results of the analysis show that Addal had the highest scores on average in all three factors (food quality, employees' service, and physical environment), Bong-Gus Babberger had two higher scored factors (employees' service and physical environment) than the average, and Gobongmin kimbab had also two higher scored factors (food quality and physical environment) than the average. Kimbab chunguk appeared to have lower scores than the average in all three factors (food quality, employees's service, and physical environment). The findings of this study provide a useful positioning map of competitiveness among five brands and offer practical marketing proposals.

• Journal of The Korean Association For Science Education
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• v.31 no.4
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• pp.513-527
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• 2011

There have been studies about conceptual ecology making a profound study of conceptual changes in learners' cognitive structure. Because learners' cognitive structure have been compared to ecology, it is natural to think that conception in learner's cognitive structure have a niche as species in ecology have niches. Therefore, it is necessary to study niche approach about conception that learners recognize in their cognitive structure. The purposes of this study were to identify relationships among conceptions that 5th grade elementary school students recognize about photosynthesis and to identify how these relationships among conceptions about photosynthesis change before and after a class of photosynthesis in curriculum in terms of an approach of ecological niche which are composed of 3 domains - diversity of conceptions, relevance and frequency rate of conceptions, and competition among conceptions. Open ended questionnaire was developed by 4 fields: photosynthetic place, photosynthetic products, photosynthetic materials needed and environment factors of photosynthesis. The subjects sampled in this study were 310 5th grade elementary students in 5 cites. Before and after classes in photosynthesis in science curriculum, students were asked to write down conceptions that they knew about the 4 fields of photosynthesis of questionnaire and to write down scales of relevance from 1 to 30 about how they think the conceptions are related to the field of photosynthesis. The results of this study showed the following: First, most students have had a variety of conceptions and commonly recognized 'light' and 'water' as concepts in photosynthesis. Second, students still recognized their preconceptions like 'soil' and 'root,' etc. that were far from scientific conceptions of photosynthesis although they took classes in photosynthesis. Third, students needed to take the various strategies of teachers because they did not recognized scientific conceptions appropriately about photosynthetic fields. Fourth, it appeared that photosynthetic conceptions recognized by students had status in terms of relevance and frequency rate of conceptions, and competition among conceptions, and that they looked like the niche of conceptions in their conceptual ecologies.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.341-341
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• 2020

서울시는 '10년, '11년, '18년의 기록적인 호우로 인해 막대한 재산피해를 기록하였다. 이로 인해 서울시는 수재해 최소화 대책의 필요성을 인지하여 방재시설물 확충 등의 구조적 대책과 함께 침수지역 예측, 호우 영향 예보와 관련된 비구조적 대책 수립을 위해 노력하고 있다. 그 일환으로 '18년에 『서울시 강한 비구름 유입경로 및 침수위험도 예측 용역』을 수행하였으며 이를 통해 레이더 기반의 비구름 이동경로 추정 기술, 침수시나리오 기반의 침수위험지역 추정기술 등을 적용한 서울시 도시침수 예측시스템을 개발하였다. 그러나 침수피해에 선제적으로 대응하기 위해서는 실시간으로 예측강우정보를 생산하고 이를 통해 침수위험지역을 추정하는 기술이 필요하다. 이에 본 연구를 통해 예측강우정보 생산 기술 적용, 예측강우정보를 이용한 실시간 침수위험지역 추정 기술 개발을 수행하여 서울시 도시침수 예측시스템을 고도화하였다. 예측강우정보의 경우 현재 기상청에서 광역 단위 호우특보 및 읍면동 단위 동네예보를 통해 제공되고 있지만, 풍수해 업무에 적용하기에는 제한적이며, 실시간 침수위험지역 추정의 경우 침수해석모델의 모의시간, 라이센스 등의 문제로 인해 한계를 보이고 있는 실정이다. 따라서 본 연구에서는 레이더 실황강우정보를 활용한 이류모델 기반의 예측강우정보 생산 기술을 적용하여 풍수해 업무 적용이 용이하도록 하였으며, 예측강우정보를 이용한 최적 침수시나리오 추정 기술 개발을 통해 실시간 침수위험지역 추정이 가능하도록 하였다. 서울시 도시침수 예측시스템은 25개 자치구를 대상으로 강우량, 호우이동경로, 침수 정보를 제공하고 있다. 강우정보는 기상청 및 SK-TechX 기반의 10분 및 1시간 단위 AWS 관측정보, 이류모델 기반 10분 단위 레이더 예측정보, 국지예보모델 기반 1시간 단위 LDAPS 예측정보를 제공하며. 호우이동경로는 레이더 실황강우정보와 LDAPS 바람장을 이용하여 서울시 및 수도권 지역의 10분 단위 1시간 예측경로를 제공한다. 침수정보는 실시간으로 레이더 예측강우정보를 이용하여 최적의 침수시나리오를 추정하여 격자 단위 상세 침수정보와 시군구 단위 침수위험지도를 제공한다. 본 시스템을 통해 실시간 침수위험지역 확인이 가능해짐에 따라 서울시의 효율적인 풍수해 업무 지원이 가능할 것으로 판단된다.