• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.579-586
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• 2018

Short-term prediction of travel speed has been widely studied using data-driven non-parametric techniques. There is, however, a lack of research on the prediction aimed at urban areas due to their complex dynamics stemming from traffic signals and intersections. The purpose of this study is to develop a hybrid approach combining ensemble empirical mode decomposition (EEMD) and artificial neural network (ANN) for predicting urban travel speed. The EEMD decomposes the time-series data of travel speed into intrinsic mode functions (IMFs) and residue. The decomposed IMFs represent local characteristics of time-scale components and they are predicted using an ANN, respectively. The IMFs can be predicted more accurately than their original travel speed since they mitigate the complexity of the original data such as non-linearity, non-stationarity, and oscillation. The predicted IMFs are summed up to represent the predicted travel speed. To evaluate the proposed method, the travel speed data from the dedicated short range communication (DSRC) in Daegu City are used. Performance evaluations are conducted targeting on the links that are particularly hard to predict. The results show the developed model has the mean absolute error rate of 10.41% in the normal condition and 25.35% in the break down for the 15-min-ahead prediction, respectively, and it outperforms the simple ANN model. The developed model contributes to the provision of the reliable traffic information in urban transportation management systems.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.177-198
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• 2018

Recently, as economic property it has become necessary to acquire and utilize the framework for water resource measurement and performance management as the property of water resources changes to hold "public property". To date, the evaluation of water technology has been carried out by feasibility study analysis or technology assessment based on net present value (NPV) or benefit-to-cost (B/C) effect, however it is not yet systemized in terms of valuation models to objectively assess an economic value of technology-based business to receive diffusion and feedback of research outcomes. Therefore, K-water (known as a government-supported public company in Korea) company feels the necessity to establish a technology valuation framework suitable for technical characteristics of water resources fields in charge and verify an exemplified case applied to the technology. The K-water evaluation technology applied to this study, as a public interest goods, can be used as a tool to measure the value and achievement contributed to society and to manage them. Therefore, by calculating the value in which the subject technology contributed to the entire society as a public resource, we make use of it as a basis information for the advertising medium of performance on the influence effect of the benefits or the necessity of cost input, and then secure the legitimacy for large-scale R&D cost input in terms of the characteristics of public technology. Hence, K-water company, one of the public corporation in Korea which deals with public goods of 'water resources', will be able to establish a commercialization strategy for business operation and prepare for a basis for the performance calculation of input R&D cost. In this study, K-water has developed a web-based technology valuation model for public interest type water resources based on the technology evaluation system that is suitable for the characteristics of a technology in water resources fields. In particular, by utilizing the evaluation methodology of the Institute of Advanced Industrial Science and Technology (AIST) in Japan to match the expense items to the expense accounts based on the related benefit items, we proposed the so-called 'K-water's proprietary model' which involves the 'cost-benefit' approach and the FCF (Free Cash Flow), and ultimately led to build a pipeline on the K-water research performance management system and then verify the practical case of a technology related to "desalination". We analyze the embedded design logic and evaluation process of web-based valuation system that reflects characteristics of water resources technology, reference information and database(D/B)-associated logic for each model to calculate public interest-based and profit-based technology values in technology integrated management system. We review the hybrid evaluation module that reflects the quantitative index of the qualitative evaluation indices reflecting the unique characteristics of water resources and the visualized user-interface (UI) of the actual web-based evaluation, which both are appended for calculating the business value based on financial data to the existing web-based technology valuation systems in other fields. K-water's technology valuation model is evaluated by distinguishing between public-interest type and profitable-type water technology. First, evaluation modules in profit-type technology valuation model are designed based on 'profitability of technology'. For example, the technology inventory K-water holds has a number of profit-oriented technologies such as water treatment membranes. On the other hand, the public interest-type technology valuation is designed to evaluate the public-interest oriented technology such as the dam, which reflects the characteristics of public benefits and costs. In order to examine the appropriateness of the cost-benefit based public utility valuation model (i.e. K-water specific technology valuation model) presented in this study, we applied to practical cases from calculation of benefit-to-cost analysis on water resource technology with 20 years of lifetime. In future we will additionally conduct verifying the K-water public utility-based valuation model by each business model which reflects various business environmental characteristics.

• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.139-146
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• 2015

WSN has been utilized in various directions from basic infrastructure of environment composition to business models including corporate inventory, production and distribution management. However, as energy organizations' private information, which should be protected safely, has been integrated with ICT such as WSN to be informatization, it is placed at potential risk of leaking out with ease. Accordingly, it is time to need secure sensor node deployment strategies for stable enterprise business. Establishment of fragmentary security enhancement strategies without considering energy organizations' security status has a great effect on energy organizations' business sustainability in the event of a security accident. However, most of the existing security level evaluation models for diagnosing energy organizations' security use technology-centered measurement methods, and there are very insufficient studies on managerial and environmental factors. Therefore, this study would like to diagnose energy organizations' security and to look into how to accordingly establish strategies for planning secure sensor node deployment strategies.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.50-50
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• 2017

도시홍수의 잠재적 위험은 홍수경감계획이 발전됨에 따라 감소하지만, 침수피해 가능성은 도시화와 도시 확장에 따라 증가한다. 침수피해 가능성에 대한 사전 파악 및 위험도 분석은 대규모 침수재해 발생 시의 위기관리에도 도움을 준다. 또한, 경제적 피해에 대한 예측은 재해발생 후 복구 및 복원 작업에 필요한 자원 할당에 매우 유용하며, 잠재적 홍수 피해에 대한 예측은 장기적인 홍수경감계획과 재해관리에 필요하다. 본 연구에서는 다차원 침수해석 모형의 결과로 산정 가능한 침수심, 유속 등의 지표들을 복합적으로 고려하여 침수위험도를 산정하고, 침수 발생 위험이 있는 지역의 인문 사회 경제적 지표를 통해 피해 저감 및 복구성을 반영하기 위한 재해 취약인자를 선정하여 해당 지역에 대한 취약도를 산정하였다. 또한, 분석된 위험도와 취약도의 연산으로 통합리스크 분석을 실시하여 침수 발생 시 해당지역에 대한 피해 예상과 지역별 상대평가가 가능하도록 하였다. 위험도와 취약도 및 리스크 분석은 다양한 인자를 동시에 고려하기 위해 여러 개의 기준에 대한 선호도를 결정하거나 최적 대안을 선택하는 다기준의사결정(MCDM)기법을 적용하였으며, MCDM기법 중 보편적으로 많이 이용되는 TOPSIS기법을 적용하였다. 이러한 리스크 분석은 우리나라 전체, 특정 시도, 시군구, 읍면동 간의 침수피해와 관련한 상대적 비교 평가가 가능하며, 대응 및 대비의 관점에서 저감 대책 수립의 우선 지역을 도출하는 데 활용될 수 있을 것이며, 침수피해 발생 후, 리스크가 큰 지역에 대해 우선적으로 복구 조치가 이뤄질 수 있을 것이다. 또한, 한정된 지자체 예산 안에서 도시홍수 피해 경감 대책 수립을 위한 의사결정에 활용될 수 있을 것으로 판단된다.

• CRM연구
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• v.2 no.1
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• pp.53-72
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• 2009

Customer's reward program is a prevailing promotional technique. Recently, both management and marketing fields have been interested in the failure of customer's reward program. However, there are few empirical research regarding this. Therefore, this study examined a research model that employs justice in processing of customer's reward program perceived by customer to explain commitment(calculative commitment, affective commitment) and complaining behavior which is mediated by negative affect. Data was collected from the customers who dissatisfied with their reward programs. For the analysis, frequency, cronbach' ${\alpha}$ and path analysis were used as statistical test tool. Additionally, SPSS 12.0 and AMOS 4.0 were used for analyzing the hypotheses. As a result, proposed structural model largely supports the hypothesized framework and the major findings of this study are summarized as follows: First, distributive and interactional justice were negatively related to negative affect. But procedural justice didn't influence negative affect. Second, negative affect was negatively related to calculative commitment. But affective commitment wasn't influenced by negative affect. Third, negative affect was positively related to complaining behavior. Fourth, calculative commitment was negatively related to complaining behavior. But negative affect didn't influence complaining behavior. In conclusion, It can be posited that justice, negative affect, 2 forms of commitment and complaining behavior are important factors.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.251-256
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• 2021

Currently, in the field of community service, it is expected that the demand will further increase in the future by enabling the form of providing various types of services. However, the local community service investment project is an abstract Although the structure for fair competition was created by introducing a market mechanism derived from the action or principle of psychology that affects human behavior in the field, systematic management and monitoring of the quality of social services is insufficient. The purpose of this study is to find out the relationship between service selection factors and service quality in order to improve the quality of social services in the consumer's way to meet these environmental needs, and to utilize the research results for quality improvement. The research model to be used in this paper measures the five element areas of service satisfaction such as reliability, responsiveness, empathy, certainty, and tangibility, which are used to measure the quality of local community service investment projects. In addition, we are various strategic implications that can induce the quality improvement of local community service investment projects are presented by finding the main factors of the four research hypotheses of this study and utilizing the results.

• Korean small business review
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• v.42 no.4
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• pp.69-102
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• 2020

Shedding new light on the research trend on entrepreneurial ecosystems in the 40-year history of the Asia Pacific Journal of Small Business, this study aims at exploring a potential measurement framework of ecological inputs and outputs in an entrepreneurial ecosystem that promotes entrepreneurship at geographical and spatial levels. As a result of the analysis of research on the entrepreneurial ecosystem in the journal, we found that prior studies emphasized the managerial importance of various ecological factors on the premise of possible causalities between the factors and entrepreneurship. However, empirical research to verify the premised causality has been underexplored yet. This literature gap may lead to unbalanced development of conceptual and case studies that identify requirements for successful entrepreneurial ecosystems based on experiential facts, thereby hindering the generalization of the research results for practical implications. In that there is a growing interest in creating and operating productive entrepreneurial ecosystems as an innovation engine that drives national and regional economic growth, it is necessary to explore and develop the measurement framework for ecological factors that can be used in future empirical research. Hereupon, we apply a conceptual model of 'input-output-outcome-impact' to categorize individual environmental factors identified in prior studies. Based on the model. We operationalize ecological input factors as the financial, intellectual, institutional, and social capitals, and ecological output factors as the establishment-based, innovation-based, and performance-based entrepreneurship. Also, we propose several longitudinal databases that future empirical research can use in analyzing the potential causality between the ecological input and output factors. The proposed framework of entrepreneurial ecosystems, which focuses on measuring ecological input and output factors, has a high application value for future research that analyzes the causality.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.1-9
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• 2008

Recently, various researches have been studied on the predict method of land change according to its development. The Cellular Automata(CA) is one of the most popular methods in the urban growth modeling. The basis principle of CA is to repeat operations, which convert the current cell into new cell state by the transaction rule. It will minimize the loss of data by using Fuzzy-AHP and it can lead the flexible urban growth modeling. However, AHP would have a disadvantage to repeat the procedure of the collecting intentions until it derives the weight. Also, it is necessary for the simulation of CA to repeat the operations and the test of data accuracy should be accompanied. The purpose of this study is to predict the Busan city growth model and analyze it according to the automated test method by applying CA as well as Fuzzy-AHP. This study shall improve the difficulties caused by complexity and repetitiveness in the urban grow modeling. The practical modeling could be derived from the verification, and the derived modules could be applied to the similar case studies.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.209-216
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• 2009

The employees in social welfare institutions have an importance of learning due to jop specialty more than any one else. That is because there are a variety of increasing needs in social welfare services and customer-oriented welfare services. On the basis of that, this study shows how learning orientation theories as a new organization management strategy affects the employees in social welfare institutions. It shows cause and effect relation by establishing hypothesis model based on the preceding researches. It performed empirical analysis on the employees in social welfare institutions in G metropolitan city. As a result, the hypothesis was tested that learning flow, vision sharing, openness have significant effects on member's jop satisfaction. It implies that job satisfaction can be improved, if the level of learning flow, vision sharing, openness of the employees in social welfare institutions are promoted.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.135-143
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• 2024

This study investigates the impact of transactional leadership on job performance(team performance) and job satisfaction, with a focus on the mediating effect of job engagement. This study highlights the significance of contingent rewards and management by exception, components of transactional leadership, in motivating organizational members towards achievement and maintaining high performance levels. Through analysis, this research aims to demonstrate how transactional leadership affects employees' job engagement, subsequently influencing job performance and satisfaction. By understanding the role of job engagement as a mediator, organizations can adjust leadership styles and enhance job engagement, ultimately improving organizational performance and employee satisfaction. The findings suggest a composite approach to leadership, integrating both transactional and transformational elements, is more effective in fostering high job performance and satisfaction among employees. This study provides insights into developing strategies to boost job engagement and optimize leadership practices for better organizational outcomes.