• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.245-256
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• 2021

The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.49-62
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• 2018

The purpose of this study is to develop an assessment index for the selection of promising start-ups, which will enhance the efficiency of program that support start-ups. In order to develop assessment models for selecting start-ups, three major research steps were conducted. First, this study attempted to theoretically redefine the assessment index from the perspective of the Balanced Scorecard (BSC) through a literature review. Second, major assessment index were derived using Delphi technique for experts in start-up areas. Third, weights were derived by applying AHP technique to calculate the importance of each index. The results of this study are summarized as follows. First, this study attempted to apply the assessment model for selecting start-ups from the Balanced Scorecard (BSC) view through the previous study review. Second, the final major questions were derived with sufficient opinions collected and structured survey of leading start-up experts in areas related to research subjects and elicited the most representative questions. Third, the results of applying the weights of the main selected assessment index, commercialization viewpoint is the most priority, followed by market view, technology development viewpoint, and organizational capability viewpoint. In the middle section, th ability to make products in the commercialization viewpoint, market competitiveness in the market, product discrimination capacity in the technology development perspective, and the ability of the entrepreneur in the organizational capacity perspective were important. Overall important items were found to be in the order of the capabilities of entrepreneurs, market competitiveness, product fire capability, and product discrimination. The importance of small items was highest priority for comparative excellence of competing products, and the degree of marketability, capacity of entrepreneurship, ability to raise capital, desire for entrepreneurship, and passion were shown. The results of this study presented a conceptual alternative to the preceding study on the development of existing selection assessment indexes. And it provides meaningful and important implications as an attempt to develop more sophisticated indicators by overcoming the limitations of empirical research on only some of the evaluation metrics.

• Journal of the Korean Professional Engineers Association
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• v.28 no.4
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• pp.54-75
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• 1995

This synthesis has been prepared from a review of literature on Truck Escape Ramps technology and a survey of current practice by state department of transportation. Their locations have been determined usually from a combination of accident experience and en-gineering judgement, but new tools are emerging that can identify needs and sites without waiting for catastrophic accidents to happen. The Grade Severity Rating Systems holds promise in this regard. Design Procedures for truck excape ramps continue to evolve. Gravel arrester beds are clearly the preferred choice across the country Rounded aggregate, uniformly graded in the approximate size range of 13 to 18mm. Tech-nical publications typically have dassified TER types as paved gravity, sandpile, and ar-rester bed ramps. The design speed for vehicle entry into the ramp in critical to the deter-mination of ramp length. An escape ramp should be designed for a minimum entry speed of 130km/hr, a 145km/hr design being preferred. The ramps should be straight and their angle to the roadway align-ment should be as possible. The grade of truck escape ramps show the adjustment of ramp design to local topography, such as the tradeoff of ramp length against earthwork requirements. A width of 9 to 12m would more safety acommodate two or more outof con-trol vehicles. Reguarding comments on the most effective material, most respondents cited their own specification or referred to single graded, rounded pea gravel. The consensus essentially Is that single graded, well -rounded gravel is the most desirable material for use in arrester beds. The arrester beds should be constructed with a minimum aggregate depth of 30cm. Successful ramps have used depths between 30 and 90cm.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 1995.11a
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• pp.49-70
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• 1995

콜레스테롤은 성호르몬, 스테로이드 호르몬, 비타민 D, 담즙산 및 다른 체내화합물에 존재하는 생명에 필수적인 물질이며, 특히 세포막에는 이의 안정적인 기능수행을 위해 일정량의 콜레스테롤이 반드시 존재해야 한다. 이러한 중요성 때문에 우리의 몸안에는 완전히 음식물의 섭취에 의한 공급에 의존하지 않고서도 필요에 따라 체조직의 온전한 기능수행을 위해 즉시 이용될 수 있는 충분한 양의 콜레스테롤이 존재한다. 따라서 체내에서 자체적으로 합성되는 콜레스테롤의 양은 음식물을 통해 흡수되는 양보다 일반적으로 훨씬 높다. 매일 우리의 체내에서는 약 1,500mg 정도의 콜레스테롤이 합성되는데, 주로 간세포에서 만들어지며, 소장세포에서도 일부 합성이 이루어진다. 식단(食單)의 구성에 따라 물론 차이는 있으나, 우리가 매일 음식물을 통해 섭취하는 콜레스테롤의 양은 평균 300~700mg 정도이다 .이중 소장을 통해 흡수될 수 있는 양은 50% 정도에 불과하여 대부분 식사를 통해 흡수되는 콜레스테롤의 양은 실제적인 의미에서 그리 큰 비중을 차지하지 않는다. 대부분의 건강한 사람은 혈액내 콜레스테롤의 수준이 항상 정상적인 범위내에서 유지될 수 있도록 기능적인 체내 Feed-back 기작을 유지하고 있다. 음식물을 통한 식이(食餌)콜레스테롤의 섭취량이 많을 경우에는 이 물질의 장관(腸管)내 흡수율이 낮아지고, 체내 콜레스테롤의 합성량 역시 저하된다. 이러한 방법으로 대부분의 건강한 사람은 음식물을 통한 많은 양의 식이 콜레스테롤 섭취에 대해 효율적으로 보상하는 체내기작을 갖게 되어 혈중 콜레스테롤 수준이 필요 이상 높아지는 것을 막게 된다. 물로 s이러한 보상작용(補償作用)은 사람에 따라 일정하지는 않다. 최근의 연구결과에 의하면, 건강한 사람들의 약 60%정도는 하루에 3개 정도의 달걀에 포함되어 있는 양 정도의 콜레스테롤을 추가적으로 보상시킬 수 있다고 하는데, 이는 달걀 이외의 음식물에서도 섭취되는 콜레스테롤 양을 감안할 때 하루 총 1,000~1,500mg에 해당하는 양이다. 뿐만 아니라 이중 일부 사람들은 일반적인 식단 하에서 6개의 달걀을 추가하여 섭취하여도 혈중 콜레스테롤 수준이 높아지지 않는다고 한다. 여러 나라에서 아직도 일률적으로 권장되는, 음식물을 통한 일당 콜레스테롤 섭취량을 최고 300mg으로 제한해야 한다는 것은 건강인에 있어서는 앞에서 언급한 바와 같은 생리적인 피이드-백 기작으로 말미암아 혈중 콜레스테롤 수준을 저하시키지 못하거나 미미한 정도에 불과하다. 혈중 콜레스테롤 수준이 정상적인 범위인 180~240 mg/dl에 해당하는 대부분의 건강인에게도 콜레스테롤이 많이 함유된 달걀이나 기타 축산물을 이용한 식품의 지속적인 섭취를 적극 피하도록 권장하는 것은 국민보건상 별로 큰 위미가 없다고 생각한다. 왜냐하면 이로 말미암아 국민 건강상 문제점이 크게 향상되었다는 연구보고는 아직 발견되지 않고 있기 때문이다. 더욱이 동물성 콜레스테롤 다량 함유식품인 달걀, 우유, 유제품 및 육류 등의 섭취를 꺼리게 되면 이들 식품들이 영양생리학상 매우 중요한 양질의 영양소를 많이 함유하고 있기 때문에 여러 중요한 필수 영양소의 공급상태를 뚜렷히 감소시키게 된다. 병적으로 혈중 콜레스테롤의 수준이 높은 사람은 관상성 심장병의 발병 내지는 심장경색에 의한 사망에 대한 통계학적 위험성이 증가된다. 고콜레스테롤 혈증(청, 중년층의 경우 260mg /dl 이상) 환자중 많은 사람들은 대부분 음식물을 통한 다량의 콜레스테롤 섭취에 의해 혈중 콜레스테롤 수준이 높아진 것이 아니고, 주로 유전적인 콜레스테롤 대사 결함에 그 원인이 있다고 한다. 이런 환자들의 경우에는 콜레스테롤 및 지방함량이 낮은 음식물만 계속적으로 섭취한다고해서 혈중 콜레스테롤의 수준을 만족할만한 정도까지 낮출 수 있는 것은 아니기 때문에 주로 의학적 약물투여에 의한 치료법을 적용한다. 식이성 고콜레스테롤 증상을 보이는 사람들에 있어서는 음식물의 섭취방법을 조절해 줄 필요가 있는데, 가장 효과적인 식이요법은 체중을 정상적인 수준으로 조절하는데 있다. 이러한 환자의 경우는 지방을 통한 열량 섭취량을 총열량의 30% 정도 수준까지 감소시키는 것이 좋으며, 팔미틴산의 함량이 높은 지방의 섭취는 가능하면 삼가는 것이 좋다. 단순 및 고도 불포화지방산의 함량이 높은 지방의 섭취는 혈중 콜레스테롤의 수준을 한 포인트 정도 낮추는데 추가적으로 기여할 수 있다. 최근의 연구에 의하면, 단순 불포화 지방산인 올레인산을 많이 함유하고 있는 올리브 기름이 특히 혈중 콜레스테롤 수준에 대한 유리한 효과를 나타낸다고 하는데, 이는 오로지 혈액내 LDL-Cholesterol을 감소시키는 작용에 기인한다. 이에 반해 고도 불포화지방산인 리놀산은 저밀도지단백질 부분 외에도 심장 보호성(心臟 保護性) HDL-부분까지도 저하시키게 된다. 따라서 특수하게 리놀산을 강화시켜 제조한 마아가린이나 이와 유사한 기름을 이용한 리놀산 강화식품의 섭취는 이러한 이유 외에도 일정한 부작용이 알려져 있어 더 이상 강하게 추천되지 않고 있다. 만일 이러한 식이조절에도 불구하고 혈중 콜레스테롤 수준이 원하는 정도까지 떨어지지 않을 경우, 물론 콜레스테롤의 섭취를 최저로 제한할 수 있는 방법을 꾸준히 시도해 봐야 하나 일반적으로 미미한 정도의 효과만을 가져온다. 유전 및 식이와 관계되는 사항 외에도 추가적으로 고려해야 할 점은, 혈중 콜레스테롤 수준은 나이, 성별, 스포츠, 흡연, 스트레스 및 음주 등과 같은 요인에도 결정적인 영향을 받는다는 사실이다. 물론 현재까지 과도하게 증가된 혈중 콜레스테롤 수준을 저하시킴으로써 전체 국민의 사망률을 현저하게 낮추고 평균수명을 연장시켰다는 증거는 발견되지 않고 있다. 왜냐하면 단독 식이 요법을 통한 해당 연구들이 현재까지 뚜렷한 긍정적인 결과를 제시하지 못하고 있기 때문이다. 의약품의 투여로 심장경색 및 이로 인한 사망을 감소시킬 수 있었다는 보고는 여러 연구결과들에서 보여주고 있으나, 그대신 다른 질병 및 암에 의한 사망률 역시 동시에 증가되었다고 한다. 이러한 이유로 말미암아 콜레스테롤 저하요법에 있어서 본래의 치료목적 이외의 위험성에도 항상 주의해야할 필요성이 존재한다는 사실을 주지해야 한다.

• Korean Journal of Poultry Science
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• v.49 no.4
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• pp.211-220
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• 2022

Poultry are exposed to extremely high levels of oxidative stress as a consequence of the excessive production of reactive oxygen species (ROS) induced by endogenous and exogenous stressors, such as high-stocking densities, thermal stress, environmental and feed contamination, along with factors associated with intensive breeding systems. Oxidative stress promotes lipid peroxidation, DNA damage, and inflammation, which can have detrimental effects on the health of birds. During the course of evolution, birds have developed antioxidant defense mechanisms that contribute to maintaining homeostasis when exposed to endogenous and exogenous stressors. The primary antioxidant defense systems are enzymatic and non-enzymatic in nature and play roles in protecting cells from ROS attack. Recently, plant flavonoids, which have been established to reduce oxidative stress, have been attracting considerable attention as potential feed additives. Flavonoids are a group of polyphenolic compounds that can be stabilized by binding structural compounds with ROS, and can promote the elimination of ROS by inducing the expression of antioxidant enzymes. However, although flavonoids can contribute to reducing lipid peroxidation and thereby enhance the antioxidant capacity of birds, they have low solubility in the gastrointestinal tract, and consequently, it is necessary to develop a delivery technology that can facilitate the effect intestinal absorption of these compounds. Furthermore, it is important to determine the dietary levels of flavonoids by assessing the exact antioxidant effects in the gastrointestinal tract wherein the concentrations of dietary flavonoids are highest. It is also necessary to examine the expression of transcriptional factors and vitagenes associated with the efficient antioxidant effects induced by flavonoids. It is anticipated that the application of flavonoids as natural antioxidants will become a particularly important field in the poultry industry.

• Korean journal of applied entomology
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• v.57 no.3
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• pp.209-220
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• 2018

Mating disruption (MD) has been widely used to effectively control Grapholita molesta in apple orchards. A simultaneous mating disruption (SMD) techniques have been developed to control both G. molesta and G. dimorpha. This study was performed to determine the practical parameters to apply the SMD technique to field conditions. To determine the application amount of SMD lures, a dispenser containing 10 mg pheromone was placed at different numbers of trees in an orchard. Application at every other tree (= one dispenser per two trees) was relatively safe to expect effective MD efficiency in both wax and polyethylene (PE) formulations. One time application at the end of March was enough to maintain a year round MD efficacy against both species. A fence treatment using food trap was applied to prevent any immigratory mated females from nearby untreated regions. To enhance the food trap by adding host-derived secondary compounds, terpinyl acetate (TA) was screened to be effective to attract females of Grapholita molesta among six compounds contained in apple fruit extracts. Among different TA concentrations, 0.05% TA treatment was the most effective to attract the adults. A mixture of TA and sugar was effective to attract and kill females and called FAKT (female attract-to-kill techniques). FAKT was treated at approximately 6 m interval at the edge of the apple orchards. The females trapped by the FAKT included mated females possessing vitellogenic oocytes. SMD supplemented with FAKT maintained the high MD efficacy and significantly suppressed leaf damage induced by the two insect pests compared to control or single SMD treatment.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.19 no.1
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• pp.8-34
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• 2014

We reviewed foreign evaluation systems based on the macrobenthic and macroalgal communities and developed a system, composed of a set of ecological indices able to evaluate the functionality (FI, Functional Index; estimation of stability and productivity) and maturity (MI, Maturity Index; comparisons with biological parameters of natural reefs) of artificial reefs by comparing the status in the adjacent natural reefs in Korean coastal waters. The evaluation system was applied to natural and artificial reefs/reef-planned areas (natural reefs), established in the 5 marine ranching areas (Bangnyeong-Daechung, Yeonpyung, Taean, Seocheon and Buan) in the west coast of Korea. The FI ranged between 31.6 (Bangnyeong-Daechung) and 72.5% (Buan) and MI did between 53.1 (Seocheon) and 76.9% (Taean) in average. The evaluation of artificial reefs by the two indices, showed the most appropriate status in Taean. The FI between the adjacent artificial and natural reefs were in significant linear relationship ($r^2=0.83$, p=0.01). This indicated the local status of biological community may be critical in determining the functionality of the artificial reefs. We have suggested an integrative but preliminary evaluation system of artificial reefs in this study. The output from the evaluation system may be utilized as a tool for environment/resource managers or policy makers, responsible for effective use of funds and decision making. Given the importance, we need to use the options to enhance and improve the accuracy as follows: (1) continuous validation of the evaluation system and rescaling the criteria of indicators, (2) vigorous utilization of observation and experience through the application and data accumulation and (3) development and testing of brand-new indicators.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

• Journal of Korea Spatial Information System Society
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• v.10 no.4
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• pp.77-88
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• 2008

There has been growing demands to manage the water quality of west coastal region due to the large scale urbanization along the coastal zone, the possibility of application of TMDL(Total Maximum Daily Loadings) to Han river, and the natural disaster such as oil spill incident in Taean, Chungnam. However, no system has been developed for such purposes. In this background, the demand of GIS based effective water quality management has been increased to monitor water quality environment and propose best management alternatives for Han river and Kyeonggi bay. This study mainly focused on the development of integrated water quality management system for Han river bas in and its estuary are a connected to Kyeonggi bay to support integrated water quality management and its plan. Integration was made based on GIS by spatial linking between water quality attributes and location information. A GIS DB was built to estimate the amount of generated and discharged water pollutants according to TMDL technical guide and it included input data to use two different water quality models--W ASP7 for Han river and EFDC for coastal area--to forecast water quality and to suggest BMP(Best management Practices). The results of BOD, TN, and TP from WASP7 were used as the input to run EFDC. Based on the study results, some critical areas which have relatively higher pollutant loadings were identified, and it was also identified that the locations discharging water pollutant loadings to river and seasonal factor affected water quality. And the relationship of water quality between river and its estuary area was quantitatively verified. The results showed that GIS based integrated system could be used as a tool for estimating status-quo of water quality and proposing economically effective BMPs to mitigate water pollution. Further studies need to be made for improving system's capabilities such as adding decision making function as well as cost-benefit analysis, etc. Also, the concrete methodology for water quality management using the system need to be developed.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.67-88
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• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.