• Proceedings of the Korea Water Resources Association Conference
• /
• 2005.05b
• /
• pp.1317-1322
• /
• 2005

하수관거 설계시나 단지개발사업, 그리고 하수관거정비사업과 같이 오수처리시설의 적정 규모 결정을 위해서는 정확한 상수사용량 및 오수발생량 원단위가 요구되지만 국내의 경우 이러한 원단위에 대한 기초자료 부족과 자료의 신빙성 결여로 인해 적정 원단위를 결정하는데 어려움이 있다. 이러한 관점에서 단지개발이 이루어지는 도시에서는 도시의 규모, 입지조건, 기후조건, 생활양식 등 다양한 요인들이 고려된 오수발생패턴 및 발생량 조사가 필요하며, 조사된 원단위는 오수처리시설의 적정 규모 결정뿐 아니라 침입수/유입수 분석 및 하수관거정비에 대한 성과예측에도 활용될 수 있다. 본 연구에서는 현재 단지개발 및 하수관거정비사업이 진행중인 하남시의 표본이 될 수 있는 대표구역을 선정하고 그 지역에서 조사지역을 세부적으로 분류하여 각 지역별 오수발생특성을 분석하였다. 대상지역인 하남시는 총면적의 $97\%$가 자연녹지 및 생산녹지이며, 나머지 $3\%$는 일반주거지역 및 일반 상업지역으로 나뉜다. 그리고 도시계획상 공장지역으로 편성된 부분이 없어 앞으로도 하남시 대부분의 면적이 녹지와 주거/상업지역으로 구성될 것이다. 이러한 하남시의 특성을 고려하여 조사지역은 공장지역을 제외한 일반주거지역, 밀집주거지역, 영업지역으로 분류하였으며 이렇게 분류된 지역은 각각 오수발생패턴 및 오수농도에 대한 조사를 실시하여 오수발생특성을 분석하였고, 조사지역별 인구수 조사와 연계하여 원단위 자료를 추출하였다. 이렇게 조사된 자료들을 통해 침입수/유입수 분석에 요구되는 오수전환율, 야간생활하수량 비율을 산정하였으며, 차후 단지개발 및 관거정비 후에 발생하는 오수 발생특성과 비교분석을 통하여 하남시 지역의 오수발생특성에 대한 신뢰성 있는 자료로 활용될 것으로 기대된다. RMA2 모형을 이용하여 충주댐에서의 물의 흐름을 해석한 결과 옥순대교$\~$청풍대교 구간 사이에 댐 및 지형적 영향으로 인해 잘 발달된 와류가 하도 전체를 통하여 발생되고 있었고 이는 댐 부유물 정체현상이 나타나는 지점과 잘 일치하고 있었다.정함 후 감마분석에 의하여 구하였다. CF:CS 연령모델을 적용한 결과 깊이에 따른 supported $^{210}Pb$와 퇴적 속도는 0.91cm/year 인 것으로 산정 되었다.RS is a more advanced content-based image retrieval system than other systems which support only concepts or image features.방하는 것이 선계기준에 적합한 것으로 나타났다. 밸브 개폐에 따른 수압 변화를 모의한 결과 밸브 개폐도를 적절히 유지하여 필요수량의 확보 및 누수방지대책에 활용할 수 있을 것으로 판단된다.8R(mm)(r^2=0.84)$로 지수적으로 증가하는 경향을 나타내었다. 유거수량은 토성별로 양토를 1.0으로 기준할 때 사양토가 0.86으로 가장 작았고, 식양토 1.09, 식토 1.15로 평가되어 침투수에 비해 토성별 차이가 크게 나타났다. 이는 토성이 세립질일 수록 유거수의 저항이 작기 때문으로 생각된다. 경사에 따라서는 경사도가 증가할수록 증가하였으며 $10\% 경사일 때를 기준으로 $Ro(mm)=Ro_{10}{\times}0.797{\times}e^{-0.021s(\%)}$로 나타났다.천성 승모판 폐쇄 부전등을 초래하는 심각한 선천성 심질환이다. 그러나 진단 즉시 직접 좌관상동맥-대동맥 이식술로 수술적 교정을 해줌으로써 좋은 성적을 기대할 수 있음을 보여주

• Korean Security Journal
• /
• no.17
• /
• pp.109-129
• /
• 2008

The purpose of this study is to analyze the relationship of market orientation, and business performance in the security firms. To achieve the goal of the study, it has used various methods to study. First of all, it has carried out documentary surveys through literatures review on market orientation and business performance of the security firms, and practical researches side by side. In the documentary surveys, it has developed the framework of study and questionnaires based on the domestic and foreign books, theses, materials of public institutions, and other materials. In the practical researches, basing on the selected study models and hypotheses, it has selected 15 security companies which are located in Seoul, Gyeonggi and Chungcheong Provinces with the stratified cluster random sampling method. It has polled the employees of the security companies for about 2 months from 5 August to 10 October 2006, distributing 20$\sim$50 pieces per company. It has distributed 600 pieces and used 565 pieces for analysis excepting unfaithful 35 pieces. The collected questionnaires were analyzed by SPSSWIN 14.0 program. and The methods to analyze the materials were factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and path analysis through regression analysis. The results obtained from the study using analysis methods above are as follows. Finally, market orientation influences on business performance. In other words, the higher market orientation is, the better financial and non financial outcomes are.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.2
• /
• pp.12-20
• /
• 2015

The public employers are faced the mounting importance of decision process to settle the optimum VE delivery system of such public facilities buildings and etc. The elements of decision process of the public employer are formed in the various relationships of the concerned and when the projects are coming into effect, the decision process in the VE delivery method and the selection of contractor will be the name of the game. The decision process in the VE delivery method and the selection of contractor are created a case to be one and the same as well as initiates a consistency for the performance. However, the function and role of the public employer are projective accordingly to the organization of employer and the employer especially no system is equal to the capability of perfect evaluation and verification of the ability of the employer. Especially the lowest bidder policy that started with justification to increase the competitiveness and technical capability of the contractors through the completion in between contractors has been providing the hotbed for insolvency, irregularity and irrationality as a result. From this point of view it is declared that the buildup the edifice of supporting system in the process of decision to recover the mutual trust and respect of the concerned in the VE delivery system with the technostress and the systematization based on drawing the elements which affect the decision process of public employer.

• Journal of Bio-Environment Control
• /
• v.29 no.3
• /
• pp.277-284
• /
• 2020

To increase the utilization of the intelligent methodology of smart farm management, estimation modeling techniques are required to assess prior examination of crops and environment changes in realtime. A mandatory environmental factor such as CO₂ is challenging to establish a reliable estimation model in time domain accounted for indoor agricultural facilities where various correlated variables are highly coupled. Thus, this study was conducted to develop an artificial neural network for reducing time complexity by using environmental information distributed in adjacent areas from a time perspective as input and output variables as CO₂. The environmental factors in the smart farm were continuously measured using measuring devices that integrated sensors through experiments. Modeling 1 predicted by the mean data of the experiment period and modeling 2 predicted by the day-to-day data were constructed to predict the correlation of CO₂. Modeling 2 predicted by the previous day's data learning performed better than Modeling 1 predicted by the 60-day average value. Until 30 days, most of them showed a coefficient of determination between 0.70 and 0.88, and Model 2 was about 0.05 higher. However, after 30 days, the modeling coefficients of both models showed low values below 0.50. According to the modeling approach, comparing and analyzing the values of the determinants showed that data from adjacent time zones were relatively high performance at points requiring prediction rather than a fixed neural network model.

• Journal of Intelligence and Information Systems
• /
• v.29 no.2
• /
• pp.85-100
• /
• 2023

Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

• Journal of Distribution Science
• /
• v.10 no.4
• /
• pp.37-45
• /
• 2012

The popularity of courier services in Korea has made it an essential part of the country's domestic logistics industry, bolstering the growth not only of the national economy, but also the quality of people's daily lives. An effective strategy for courier companies in Korea would be to provide high-quality services to their existing target markets with the goal of maximizing customer loyalty. This study investigates structural relationships between customer loyalty and service quality as a set of factors and between customer trust and customer satisfaction. These antecedent relationships will be used to understand the "performance formation model" through service quality. In this study, service quality, as a set of factors, is considered to be the independent variable, while customer satisfaction and customer trust are both treated as intervening variables. Finally, customer loyalty is the dependent variable. Following a review of the literature, this paper's proffered hypothesis will be investigated in terms of whether the independent and intervening variables significantly affect customer loyalty. A statistical analysis of the empirical research was carried out using both SPSS 18.0 and AMOS 18.0 The results of this study's empirical analysis show three conclusions. First, among the intervening variables (customer satisfaction and customer trust), customer satisfaction is significantly correlated with customer loyalty. Customer trust, however, was shown to have little or no relationship to customer loyalty. Second, the quality of service variable seems to influence customer satisfaction, customer trust, and customer loyalty. Third, with respect to the relationship of intervening variables, customer trust affects customer satisfaction. Thus, the companies that have a competitive advantage in Korea have successfully maximized customer loyalty for their existing customers. Courier companies will need to research and study customer needs. Therefore, this research suggests that effective courier service management can be better understood through the application of the service quality performance formation model, which can enhance the quality of service provided by domestic courier services. This research is limited to investigating qualitative variables, such as the service quality factors, customer satisfaction, and customer trust. It would be helpful for future research on courier services to consider quantitative variables, such as price and weight.

• Information Systems Review
• /
• v.14 no.3
• /
• pp.75-97
• /
• 2012

Fostering trusting belief in financial transactions is a challenging task in Internet banking services. Authenticated Certificate had been regarded as an effective method to guarantee the trusting belief for online transactions. However, previous research claimed that this method has some loopholes for such abusers as hackers, who intend to attack the financial accounts of innocent transactors in Internet. Two types of methods have been suggested as alternatives for securing user identification and activity in online financial services. Control transparency uses information over the transaction process to verify and to control the transactions. Outcome feedback, which refers to the specific information about exchange outcomes, provides information over final transaction results. By using these two methods, financial service providers can send signals to involved parties about the robustness of their security mechanisms. These two methods-control transparency and outcome feedback-have been widely used in the IS field to enhance the quality of IS services. In this research, we intend to verify that these two methods can also be used to reduce risks and to increase the security protections in online banking services. The purpose of this paper is to empirically test the effects of the control transparency and the outcome feedback on the risk perceptions in Internet banking services. Our assumption is that these two methods-control transparency and outcome feedback-can reduce perceived risks involved with online financial transactions, while increasing perceived trust over financial service providers. These changes in user attitudes can increase the level of user satisfactions, which may lead to the increased user loyalty as well as users' willingness to pay for the financial transactions. Previous research in IS suggested that the increased level of transparency on the process and the result of transactions can enhance the information quality and decision quality of IS users. Transparency helps IS users to acquire the information needed to control the transaction counterpart and thus to complete transaction successfully. It is also argued that transparency can reduce the perceived transaction risks in IS usage. Many IS researchers also argued that the trust can be generated by the institutional mechanisms. Trusting belief refers to the truster's belief for the trustee to have attributes for being beneficial to the truster. Institution-based trust plays an important role to enhance the probability of achieving a successful outcome. When a transactor regards the conditions crucial for the transaction success, he or she considers the condition providers as trustful, and thus eventually trust the others involved with such condition providers. In this process, transparency helps the transactor complete the transaction successfully. Through the investigation of these studies, we expect that the control transparency and outcome feedback can reduce the risk perception on transaction and enhance the trust with the service provider. Based on a theoretical framework of transparency and institution-based trust, we propose and test a research model by evaluating research hypotheses. We have conducted a laboratory experiment in order to validate our research model. Since the transparency artifact(control transparency and outcome feedback) is not yet adopted in online banking services, the general survey method could not be employed to verify our research model. We collected data from 138 experiment subjects who had experiences with online banking services. PLS is used to analyze the experiment data. The measurement model confirms that our data set has appropriate convergent and discriminant validity. The results of testing the structural model indicate that control transparency significantly enhances the trust and significantly reduces the risk perception of online banking users. The result also suggested that the outcome feedback significantly enhances the trust of users. We have found that the reduced risk and the increased trust level significantly improve the level of service satisfaction. The increased satisfaction finally leads to the increased loyalty and willingness to pay for the financial services.

• Journal of the Korean Applied Science and Technology
• /
• v.37 no.5
• /
• pp.1208-1221
• /
• 2020

The purpose of this study was to provide basic data for predicting the sports consumption market that Generation Z will lead by applying data mining based decision tree analysis to explore Generation Z sports consumption style. Therefore, the survey was conducted by selecting males and females aged 19 or older as a sample among Generation Z, and data of 429 people were used for the final analysis. For data processing, frequency analysis, exploratory factor analysis, retest and reliability analysis, and decision tree analysis were performed using the SPSS statistics (ver. 21.0) program. The main results of this study are as follows. First, if the rational efficiency index is high and the aesthetic consumption index is low, the probability of being classified as a group of female was 96.8%. On the other hand, if the rational efficiency and perception of price index were low, the probability of being classified as a male group was 100%. Second, if the brand orientation, perception of price, and rational efficiency index were high, the probability of being classified as a capital area group was 97.3%. Contrary to the results presented above, the probability of being classified as a other area group was 82.1% when the brand orientation, commemoration rites, and status symbol index were low. Third, the status symbol and trend oriented index were high, and if the functionality index was low, the probability of being classified into daily life and fashion groups was 77.6%. On the contrary, if the status symbol index is low, the retention of membership and enjoy consumption index is high, the probability of being classified into exercise and competition groups was 81.0%.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.18 no.2
• /
• pp.92-102
• /
• 1998

Prediction of failure behavior in filament-wound composite motor cases is one of the important issues for their reliable application. Acoustic emission during hydroproof testing of the cases is used to solve this problem. Based on the acoustic emission behavior, failure sites can be located successfully. The identification of failure modes is also possible using the distribution of acoustic emission amplitude. Due to the limitation in the number of samples, it is not possible to predict the final burst pressure of motor cases and the effect of impact damage on the final burst pressure.

• Strategy21
• /
• s.34
• /
• pp.207-235
• /
• 2014

이 논문의 목적은 해군력 개량화를 소개하고 그 활용에 대하여 제안함에 있다. 어떻게 하면 여러 국가 간의 다양한 분쟁에 대한 해군력의 효과를 효과적으로 이해할 수 있을까? 혹은, 어떻게 하면 다양한 해군력의 나라별, 시간별 변화를 이해를 할 수 있을까? 지금까지 많은 학자들이 해군력의 변화와 그 변화에 따른 해군력이 분쟁에 미치는 영향을 규명하려고 많은 노력을 해왔다. 그 중의 한 방법이 정성적인 방법이나 아직 정량적인 시도는 매우 적다. 이 글은 해군력을 정량화하는 방법과 그 데이터를 이용하여 여러 기존 이론을 검증하고 여러 다른 연구주제를 연구하는데 어떻게 이용이 될 것인지를 소개를 하는 글이다. 본 논문의 주요 쟁점은 다음과 같다. 첫째, 계량화적 접근이란 무엇인가에 대해 논의 해 본다. 계량화란 무엇이며 정성적인 방법과의 차이는 무엇인지를 통해 정량화의 이용 가치에 대해 논의해 본다. 둘째, 해군력의 정량화이다. 해군력의 정량화를 위해 어떠한 기준들을 세우고, 그 기준에 따라 함정들을 코딩하고 톤수를 세는 과정을 설명한다. 셋째, 정량화된 해군력을 바탕으로 동북아시아 국가들의 해군력 변화를 서술적으로 분석한다. 이제 주어진 해군력 데이터(주요 함정의 톤수)를 가지고 각 동북아 국가별 시간별로 어떠한 변화를 거처 왔고, 각 분쟁들 (1,2차 세계대전 등)에는 어떠한 상관관계가 있는지를 단순통계적 방법을 이용하여 알아본다. 넷째, 해군력의 변화가 경쟁국가 간의 전쟁 발발에 있어서 어떤 영향을 미치는 지에 대하여 통계적인 방법을 이용하여 검증해 본다. 묘사적인 방법은 다른 요소들에 대한 통제가 이루어 지지 않아, 정확히 해군력과 경쟁국가 간의 전쟁에 대한 인과적인 관계를 증명하기에는 한계가 있다. 따라서, 다른 경쟁적 이론들을 (예를 들어 민주평화론 등) 통제하여 해군력이 숙적국가 간의 전쟁 발발에 미치는 영향을 검증하였다. 상호 해군력의 증가는 경쟁국가 간에는 전쟁을 덜 일으키는 요인으로 작용하였으며, 이는 해군력이 경쟁국가 간에는 억제력이 있다고 추론 할 수 있다. 궁극적으로 해군력의 영향에 대한 정량적인 접근은 기존 연구의 검증, 미래 예측, 국가의 정책결정자들에게 보다 신뢰가 가는 자료를 제공하는 장점들이 있다. 이러한 장점들을 바탕으로 해군력의 영향에 대한 연구는 분쟁분야에 있어서 학술적이나 실용적인 측면에서 많은 이점이 있다.