• 대한환경공학회지
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• 제22권1호
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• pp.121-132
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• 2000

TCODcr 380mg/L이며 TKN이 65mg/L, TP 12mg/L가량인 도시하수의 질소, 인 제거를 위하여 $13{\sim}28^{\circ}C$에서 선단무산소조를 설치한 영양소제거공정(Bio-NET)을 $10m^3/d$ 규모의 pilot plant를 설치하여 내부반송율과 SRT를 변화시켜 운전하여 질소, 인 제거 특성을 살펴 보고 이를 시뮬레이션 프로그램을 이용하여 모사한 결과를 상호 비교하였다. SS, CODcr의 경우 각각 94%, 87%의 제거효율을 안정적으로 보였으며, 질소의 경우 52%~89%로 평균 75%의 제거효율을 보였다. 또한 인의 경우 안정적으로 평균 90% 이상의 높은 제거효율을 보여주었다. 또한 선단무산소조에서는 유입수내에 높은 $COD/NO_3-N$가 유지되어 비탈질속도는 평균 9.04mgN/gMv/hr로 분석되었다. 인의 거동은 유입수의 SCOD부하에 의해 큰 영향을 받는 것으로 나타났으며 비인용출속도는 평균 6.25mgP/gMv/hr를 보였다. 혐기조에서 비인용출속도는 평균 1.0mgP/gMv/hr를 보였고 폭기조에서 비질산화속도는 평균 2.9mgN/gMv/hr로 분석되었다. GPS-X 프로그램을 이용하여 모델의 내부인자 중 종속영양미생물군의 최대비중식속도, 인의 용출에 관련된 Short Chain Fatty Acid(SCFA) limit, 인의 섭취와 관련된 COD 이용당 인용출량을 반응조 특성에 맞게 보정하여 시뮬레이션을 실시한 결과와 pilot plant 실측치가 유사한 것으로 나타났다.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.167-177
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• 2021

The scientific paper studies the impact of tourism and traveling on the economic level of development of countries at the macro level and its relationship with other sectors of the economy. Tourism is one of the budget-forming factors of every economy. This work describes the main trends in the development of tourism. It is determined that about one third of tourism revenues are generated by the food sector, i.e., the culinary niche of tourism. Culinary tourism is a new direction of tourism, but it is developing quite dynamically in the EU. Culinary is an important part of rural tourism in the EU and culinary tourism is actively promoted at fairs and festivals. In recent years rural tourism has been developing both at the international level and in Ukraine, primarily due to its features, which include the implementation of the principles of sustainable community development, preservation of local traditions and cultural values, gastronomic events to promote them. The aim of the article is to study the theoretical aspects of the development of gastronomic tourism in the world, to analyze the actual condition of gastronomic tourism in the EU and Ukraine, identifying prospects and ways to develop regional gastronomic tourism. The methodological and informational basis of the work is analytical reports and researches related to the development of event tourism and statistics. Systematic and logistical approaches to the studied problems were used to achieve this goal. Various general scientific and special research methods were also used. Based on PESTLE analysis, key aspects of the external environment of gastronomic tourism in Ukraine are identified. We took into account the principles of sustainable development: political, economic, social, technological, legal and environmental. The main trends in the development of gastronomic tourism in the world are studied and it is found that the greatest development in the coming years will be the trend of combining gastronomic and event tourism on the basis of sustainable development. The main preconditions and possibilities of introduction of this holistic approach to the strategy of development of the tourist branch of Ukraine are determined. A model of sustainable value chain of gastronomic tourism in the region is formed and the main advantages of its implementation are identified: formation of a regional brand, preservation of culinary traditions, development of green farming, minimization of negative impact on the environment, sustainable development of communities.

• Asia pacific journal of information systems
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• 제21권1호
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• pp.1-27
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• 2011

In an attempt to cope with widespread, dynamic, and accelerating changes in both internal and external business environments, companies often utilize information technologies such as SCM(Supply Chain Management). To date, SCM research has mainly focused on the effects of dynamic factors on SCM success and emphasized adoption strategies and critical success factors. Consequently, the effects of more static factors such as interdependency between SCM partners have been largely ignored. The purpose of this study, therefore, is to examine the effects of both dynamic and static factors on SCM performance by controlling for information quality and partnership quality. The five factors examined in this study include innovative ness, mutual dependency, quality of information, partnership quality, and SCM performance. All factors were examined from the perspective of part suppliers, except the mutual dependency which was examined from two aspects: supplier's dependency on customer and customer's dependency on supplier. Data was collected through five hundred survey questionnaires distributed to the part supplier companies that have implemented SCM systems for at least one year. As a result, a total of 170 valid responses were obtained. A structural equation research model was fitted using SAS 9.1.3 and SMART-PLS 2.0. The results of this study can be summarized as follows. First, innovativeness positively affected SCM information quality. SCM partnership quality, and ultimately SCM performance. The path coefficient between innovativeness and information quality was 0.387, with a t-value of 3.528. Innovativeness also had a positively direct effect on partnership quality. The path coefficient was 0.351 with a t-value of 3.366. The total effect of innovativeness on partnership quality was significant, although its indirect effect on partnership quality by altering information quality was negligible. The total indirect effect of innovativeness on SCM performance by affecting information quality and partnership quality was significant with a p-value of 0.014. Innovativeness played an important role in determining SCM performance. Second, mutual dependency showed no significant effect on SCM information quality. This result contradicts the earlier assertion that the more dependent two companies are, the more accurate and timely the information they exchange ought to be. This study showed that this may not be the case; a partner may provide information of poor quality even when it is strongly dependent on the other. Mutual dependency showed significant effect on partnership quality. However, when the mutual dependency perceived by suppliers was divided into two parts, one being a supplier's dependency on its customer company and the other being a customer's dependency on the supplier, the latter showed a significant impact on the perceived SCM partnership quality. This result indicates that a customer company can hardly improve the partnership quality perceived by suppliers by making them more dependent. It improves only when the suppliers perceive that their partners, typically having more bargaining power, are more dependent on them. The overall effect of mutual dependency of any kind on SCM performance, however, was not significant. Although mutual dependency has been mentioned as an important static factor influencing almost every aspect of cooperation on a supply chain, its influences may not be as significant as it was initially perceived to be. Third, the correlation between information quality and partnership quality was 0.448 with a p-value of less than 0.001. Information quality had a path coefficient of 0.256 to partnership quality with a t-value of 2.940. The quality of information exchanged between partners may have an impact on their partnership quality. Fourth, information quality also had a significant impact on SCM performance with a path coefficient of 0.325 with a t-value of 3.611. In this study, SCM performance was divided into four categories: product quality, cost saving, service quality, and order fulfillment. Information quality has Significant impacts on product quality, cost saving and service quality, but not on order fulfillment. Fifth, partnership quality, as expected, had a significant impact on SCM performance. The path coefficient was 0.403 with a t-value of 3.539. Partnership quality, like information quality, had positive impacts on product quality, cost saving and service quality, but showed no impact on order fulfillment. It seemed that order fulfillment is the hardest category of performance that SCM can satisfy. One major limitation of this study is that it surveyed only the suppliers. To better understand the dual aspects of SCM, it is important to survey both suppliers and the assemblers, especially in pairs. This research, to our best knowledge, was the first attempt to study the level of dependency between the two groups by measuring the dual aspects of SCM and studying mutual dependency from the categories of suppliers and assemblers each.. In the future, a more comprehensive and precise measurement of SCM characteristics needs to be achieved by examining from both the supplier's and assembler's perspectives.

• 마케팅과학연구
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• 제16권1호
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• pp.45-71
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• 2006

본연구는 대구 북구에 입지한 테스코 홈플러스, 까르푸, 이마트 고객 287명을 대상으로 하는 설문조사 결과를 구조방정식 모형에 대입해, 개인가치가 할인점 점포연상과 할인점 충성도에 주는 인과적 영향관계를 고찰한다. 연구 결과, 개인의 사회소속가치는 점포분위기 연상에 긍정적인 영향을 주는 것으로 나타났으며 자아실현가치는 판매후서비스와 종업원서비스에 긍정적인 영향을 주는 심층 지각개념임을 보여준다. 또 할인점 단골의도에 대해 점포접근성이 가장 큰 영향을 주고 있으며 그 다음으로 실내디자인, 종업원서비스 연상 순으로 긍정적인 영향을 주는 것으로 나타났다. 이상 연구결과를 바탕으로 이론적, 관리적 시사점과 함께 연구단점이 연구 마지막 부분에 논의되고 있다.

• 수산경영론집
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• 제35권1호
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• pp.57-85
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• 2004

To develop an blue tourism website(BTW) for electronic commerce(EC), information requirements of BTW are defined firstly. We defined information requirements of BTW from two aspects, i.e., front office and back office. Information requirements for front office were derived by consumer purchasing decision process. And information requirements for back office were derived by tourism value chain. Total 29 functions are identified as critical EC related functions of BTW. Among them, 25 functions were investigated into BTW. BTWs were searched by search engines - Yahoo and Empas - to Korean websites. There are 12 specialized BTWs, except one cyber museum website. For 12 websites, 25 functions were probed. By the results, in need recognition stage of blue tourism, only weather information was provided in most websites. In information search stage of blue tourism, package recommendation and various contents were provided in most websites. In consumption stage of blue tourism, traffic information were provided in most websites. And in after - sales service stage of blue tourism, bulletin board function was implemented in most websites. The rest of the functions were scarcely implemented. On the whole, it was concluded that most EC related functions of BTW in Korea were not implemented properly. To improve the status quo, it is expected in the dimension of individual website, that marketing planning, customized service, intelligent service, reinforcing purchasing assistance functions, customer relationship management, and escrow service etc. need to be implemented. And it is expected in the dimension of blue tourism industry, that standardizing product catalog, security assistance policy, information sharing by industrial database, finding referral model of BTW, elevating information mind, revising related laws etc. are needed.

• Journal of Korea Trade
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• 제24권8호
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• pp.133-152
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• 2020

Purpose - The purpose of this study is to analyze the determinants of commodity trade in Korea and China and to examine the implications of China's GVC shift from export to domestic market on its impact on Korea's trade. Design/methodology - This study selected 30 major trading partner countries. The dependent variable is the trade volume, and the independent variables are general economic factors such as gross domestic product (GDP), GDP per capita, distance, and FTA. Findings - The trade pattern of Korea's commodities shows that GDP has a positive relationship with trade, import, and export. Distance has a significant negative relationship with total trade, import, and export. FTA is significant for import but it is not significant for total trade and export. The trade pattern of China's commodities shows that GDP has a significant positive relationship with total trade, import, and export. Distance has a negative relationship with trade, import, and export. GDP per capita is not significant for total trade and import, but it is significant for export. FTA is significant for total trade and export, but it is not significant for import. Originality/value - Existing papers were studied mainly in certain industrial sectors such as agriculture, manufacturing, automobile industry and steel industry. This paper attempts to collects vast amounts of data about the 30 countries of Korea and China respectively and analyzes by Random Effect Model dividing the goods (0 to 9) in units of STIC (Rev. 4). The major contribution is that the decision factors affecting commodity trade can be analyzed in SITC units (0-9) to obtain analysis results that are subdivided by product group and organized by product.

• Asian Pacific Journal of Cancer Prevention
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• 제15권9호
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• pp.4049-4054
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• 2014

Background: Race and ethnicity are significant factors in predicting survival time of breast cancer patients. In this study, we applied advanced statistical methods to predict the survival of White non-Hispanic female breast cancer patients, who were diagnosed between the years 1973 and 2009 in the United States (U.S.). Materials and Methods: Demographic data from the Surveillance Epidemiology and End Results (SEER) database were used for the purpose of this study. Nine states were randomly selected from 12 U.S. cancer registries. A stratified random sampling method was used to select 2,000 female breast cancer patients from these nine states. We compared four types of advanced statistical probability models to identify the best-fit model for the White non-Hispanic female breast cancer survival data. Three model building criterion were used to measure and compare goodness of fit of the models. These include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC). In addition, we used a novel Bayesian method and the Markov Chain Monte Carlo technique to determine the posterior density function of the parameters. After evaluating the model parameters, we selected the model having the lowest DIC value. Using this Bayesian method, we derived the predictive survival density for future survival time and its related inferences. Results: The analytical sample of White non-Hispanic women included 2,000 breast cancer cases from the SEER database (1973-2009). The majority of cases were married (55.2%), the mean age of diagnosis was 63.61 years (SD = 14.24) and the mean survival time was 84 months (SD = 35.01). After comparing the four statistical models, results suggested that the exponentiated Weibull model (DIC= 19818.220) was a better fit for White non-Hispanic females' breast cancer survival data. This model predicted the survival times (in months) for White non-Hispanic women after implementation of precise estimates of the model parameters. Conclusions: By using modern model building criteria, we determined that the data best fit the exponentiated Weibull model. We incorporated precise estimates of the parameter into the predictive model and evaluated the survival inference for the White non-Hispanic female population. This method of analysis will assist researchers in making scientific and clinical conclusions when assessing survival time of breast cancer patients.

• 유통과학연구
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• 제15권6호
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• 한국수자원학회논문집
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• 제43권8호
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• pp.733-745
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• 2010

수문자료의 계절성은 수자원관리의 관점에서 매우 중요한 요소로서 계절성의 변동은 댐의 운영, 홍수조절, 관개용수 관리 등 다양한 분야와 밀접한 관계를 가지고 있다. 수문빈도해석을 위해 POT 자료와 같은 부분기간치계열을 사용함으로써 자료의 확충, 계절성 확보, 발생빈도모형의 구축 등이 가능하다. 본 연구에서는 POT 자료의 장점을 효과적으로 빈도해석에 연계시키는 방법론으로서 POT 자료로부터 계절성을 추출하고 이를 빈도해석과 연계시켜 Bayesian 기법을 기반으로 하는 비정상성 빈도해석 모형을 구축하였다. 서울지점의 관측 자료로부터 98% Threshold를 적용하여 POT 자료를 추출하였으며, GEV 분포에 대한적합성을 검토하였다. 위치 및 규모매개변수의 계절적변동성을 Fourier 급수로 표현하고, Bayesian Markov Chain Monte Carlo 모의를 통해 매개변수들의 사후분포를 추정하였으며, 사후분포와 Quantile 함수를 이용하여 재현기간에 따른 확률강수량을 추정하였다. 계절성을 고려한 비정상성빈도해석 결과 7~8월의 비정상성 확률강수량과 기존 정상성빈도해석의 결과가 유사한 값을 나타내고 있으며 동시에 계절성을 반영한 확률강수량의 거동을 효과적으로 모의가 가능하였다.

• 대한한의학회지
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• 제29권2호
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• pp.71-80
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• 2008

Objective: There is increasing evidence that chronic non-bacterial prostatitis is recognized to be a local inflammatory disease, and there is substantiating evidence to support the role of the inflammatory responses in its pathogenesis, and clinical value in the evaluation of therapeutic efficacy. Prunella vulgaris has been traditionally used in treatment of inflammatory diseases, including of scrofula, goiter, and allergy diseases. In this study, we investigated the effects of Prunella vulgaris on inflammatory cytokines and cytopathological alternation in the rat model of non-bacterial prostatitis induced by castration and $17{\beta}-estradiol$ treatment. Methods: Two-month-old rats were treated with $17{\beta}-estradiol$ after castration for induction of experimental non-bacterial prostatitis, which is similar to human chronic prostatitis in histopathological profiles. Prunella vulgaris as an experimental specimen, and testosterone as a positive control, were administered orally. The prostates were evaluated by histopathological parameters including the epithelial score and epithelial-stromal ratio for glandular damage, and the expression of inflammatory cytokine genes including the interleukin $(IL)-1{\beta}$, IL-5, IL-12, and tumor necrosis factor $(TNF)-{\alpha}$. Results: While prostates of control rats revealed severe acinar gland atrophy and stromal proliferation, the rats treated with Prunella vulgaris showed a diminished range of tissue damage. Epithelial score was improved in Prunella vulgaris over that of the control (P<0.05). The epithelial-stromal ratio was lower with Prunella vulgaris when compared to that of the control (P<0.05). In the reverse transcription-polymerase chain reaction (RT-PCR) of inflammatory cytokine genes, Prunella vulgaris inhibited the expression of $IL-1{\beta}$ and $TNF-{\alpha}$ genes, while it modulated the expression of IL-5, which is an anti-inflammatory cytokine. Conclusions: These findings suggest that Prunella vulgaris may protect the glandular epithelial cells and also inhibit stromal proliferation in association with the immune modulation including the suppression of inflammatory cytokines and promotion of anti-inflammatory cytokine. From theses results, we suggest that Prunella vulgaris could be a useful remedy agent for treating chronic non-bacterial prostatitis.