• 한국통신학회논문지
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• 제35권11B호
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• pp.1624-1630
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• 2010

본 논문은 도시통합관제플랫폼에서 발생되는 다양한 복합이벤트에 대해, 해당 복합이벤트에 의해 발생되는 업무프로세스 및 Action을 도시통합관제플랫폼과 다수의 u-서비스시스템 간 분담 또는 협업하여 처리할 수 있도록 복합 이벤트에 대한 업무 프로세스 및 Action을 검색, 변환, 배포하는 시스템 및 방법을 제시하였다. 제시된 방법을 적용하면 복합이벤트 발생시 신속하고 유기적인 대응을 통해 피해 비용 및 피해 범위의 확산을 방지하는 효과가 있다. 또한 복합이벤트의 프로세스 및 Action이 추가 삭제, 보완 등과 같이 수시로 변경되는 경우에도, 도시통합관제플랫폼에서만 업무 프로세스 및 Action을 수정하여 각 u-서비스시스템에 배포하면 분담 및 협업 처리를 할 수 있게 되므로 일의 복잡도를 단순화 시키고 유연한 대응을 할 수 있을 것으로 기대된다.

• 수산경영론집
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• 제47권4호
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• pp.1-13
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• 2016

Fish mortality is the most important success factor in aquaculture management. To analyze the effect of mortality considering biological and economic condition is a important problem in land-based aquaculture. This study is aimed to analyze the effect of mortality for duration of cultivation in land-based aquaculture. This study builds the mathematical model that finds the value of decision variable to minimize cost that sums up the water pool usage cost, sorting cost, fingerling cost and feeding cost under critical standing corp constraint. The proposed mathematical model involves many aspects, both biological and economical: (1) number of fingerlings (2) timing and number of batch splitting event, based on (3) fish growth rate, (4) mortality, and (5) several farming expense. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.

• 한국빅데이터학회지
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• 제3권1호
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• pp.47-54
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• 2018

비즈니스 프로세스 분석의 기존 연구들은 비즈니스 프로세스에 포함된 업무, 고객 서비스, 작업자 편의, 수행시간 예측 등 다양한 요소를 분석하였다. 이러한 요소를 정확히 분석하기 위해서는 정보시스템에 기록된 실제 이력 데이터를 활용하는 것이 효과적이다. 프로세스 마이닝은 이벤트 로그 데이터로부터 비즈니스 프로세스의 여러 가지 요소를 분석하는 기법이다. 본 사례 연구는 구매 대행 업체의 업무 수행 데이터에 프로세스 마이닝를 적용하여 구매 대행 프로세스의 업무 흐름, 수행 시간, 담당자 등의 프로세스 운영 분석을 수행하였다.

• Asia pacific journal of information systems
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• 제30권4호
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• pp.785-807
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• 2020

The novel Coronavirus disease 2019 (COVID-19) is unprecedentedly changing the world since its outbreak in late 2019. Using the collected the data related to COVID-19 and the social media user data from a mobile application market research agency from January 25 to April 7, this study empirically examines the effect of the number of confirmed COVID-19 cases worldwide, the number news COVID-19, and the enforcement of social distancing measures on the daily active users (DAU) of two social media services - Twitter and Facebook - in South Korea. There are three important findings from the results of econometric analysis. First, the number of confirmed COVID-19 cases worldwide has a negative effect on the DAU of social media. Second, the number of COVID-19 news is negatively associated with the DAU of social media. Finally, the implementation of social distancing measures has no significant effect on the DAU of the social media. Theoretical implications and managerial guidelines are also discussed.

• The International Journal of Costume Culture
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• 제4권3호
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• pp.171-181
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• 2001

The Purpose of this study first was to establish the concept based on the existing convention theory, and classifies the types of industrial aspect, and cultural and artistic aspects. Based on it, the relative importance of structural elements of the fashion convention industry is analyzed to fashion conventions in the industrial aspect. The research applies Delphi technique, it is applied to experts in the fashion convention industry in two rounds. Re result is as follows ; First, exhibitions and collection of the fashion convention industry are classified into five groups by examining their main types and main targets. Second, in fabric·material exhibitions, the procedure, personnel and communication have relatively equal importance on the whole although facilities are considered most important. in clothing·fashion exhibitions, the procedure has by far a high level of importance unlike others. Third, comparing the second stage importance, it is shown that the event hall, pubic relations, professionalization of personnel, communication between the promoter and supporting organization are most important with a slight difference by type. Fourth, comparing the third stage importance, it is revealed that ten most important factors are the event location, publicity time, the size·number of event halls customer handling , expertise, publicity media, friendliness, facilities, Publicity Publications, and business competence.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.45-53
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• 2020

Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1^st of January 2012 to 20^th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1148-1161
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• 2017

The success of a business process management system stands or falls on the quality of the business processes. Many experiments therefore have been devoting considerable attention to the modeling and analysis of business processes in process-centered organizations. One of those experiments is to apply the probabilistic theories to the analytical evaluations of business process models in order to improve their qualities. In this paper, we excogitate a conceptual way of applying a probability theory of proportions into modeling business processes. There are three types of routing patterns such as sequential, disjunctive, conjunctive and iterative routing patterns in modeling business processes, into which the proportion theory is applicable. This paper focuses on applying the proportion theory to the disjunctive routing patterns, in particular, and formally named proportional information control net that is the formal representation of a corresponding business process model. In this paper, we propose a conceptual approach to discover a proportional information control net from the enactment event histories of the corresponding business process, and describe the details of a series of procedural frameworks and operational mechanisms formally and graphically supporting the proposed approach. We strongly believe that the conceptual approach with the proportional information control net ought to be very useful to improve the quality of business processes by adapting to the reengineering and redesigning the corresponding business processes.

• 지식경영연구
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• 제5권1호
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• pp.39-56
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• 2004

Mergers and Acquisitions(M&A) have long played an important role in the growth of firm. M&A has been considered a effective strategy for Korean government to restructure industry. Previous studies provided mixed results on the synergy effect of M&A This study provides investigation on 39 mergers occurred over the sample period from 2000 to 2001. In this study, event study methodology arc used to calculate abnormal return(AR) and cumulative abnormal return(CAR) based on mean-adjusted model. The testing period of this study from date -30 through date +30, where date zero is the date of the first public announcement of the merger. The empirical results in this study can be summarized as follows. First, the return rates of KOSDAQ registered firms with M&A appears higher than that of KSE listed firms. This means that public announcement of M&A is more influential on stock price for KOSDAQ registered firms than KSE listed firms. Second, The difference between actual merging price and fair value is significant in KSE listed firms and KOSDAQ registered firms. This means that the investors take M&A of KOSDAQ registered firms as a good news. Third, the impact on the market prices of merging firms take place after the first public announcement of the merger in KSE registered firms. But the impact on the market prices take place not only merging firms but also merged firms in KOSDAQ registered firms. This result shows that the investors recognize a M&A is a strategy of technology transfer in small & venture business.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.289-291
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• 2013

RFID는 비접촉식 물품 인식 기술로서, 무선 인식의 장점에 따라 물류, 의약품, 병원 등 다양한 응용 분야에서 활용 범위를 넓혀가고 있다. RFID의 도입은 하드웨어 장비, S/W, 인력 등 비교적 높은 도입 비용을 요구한다. 이에 따라 응용 환경의 타당성 평가 및 EPC정보서비스(EPCIS)등과 같은 핵심 RFID S/W의 성능 및 적합성 평가가 선행되어야 하며, 이를 위해서는 다양한 종류의 테스트 데이터 셋이 필수적으로 요구된다. 본 논문에서는 RFID 응용환경을 시뮬레이션하는 접근방법을 통해 보다 실제와 유사한 RFID 비즈니스 이벤트 데이터셋을 생성하기 위한 방법을 제안한다. 제안하는 방법은 페트리넷을 기반으로 하여 다양한 RFID 응용 환경을 네트워크 모델 형태로 추상화시키고 이에 기반하여 실제와 유사한 데이터셋을 생성하는 특징이 있다. 이를 통해 본 연구는 RFID 시스템의 평가는 물론 시뮬레이션을 통해 특정 응용 분야에서의 RFID 도입여부 검토에서도 유용하게 활용될 수 있다.

• 한국정보과학회논문지:데이타베이스
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• 제32권6호
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• pp.603-615
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• 2005

워크플로우 관리 시스템은 다양성과 복잡성이 커지고 있는 비즈니스 프로세스 관리의 해결대안으로서 부각되고있다. 본 연구에서는 주어진 프로세스 흐름을 세 가지의 패턴 즉, 반복블록, 직렬블록 및 병렬블록 등으로 단순화하고 노드의 위상적 순서(topological ordering)를 생성하는 알고리즘을 이용하여 사이클을 찾아 반복블록을 제거하고, 다음으로 직렬 및 병렬블록을 반복적으로 검색하는 수로분기 알고리즘을 포함하는 새로운 모델을 제시한다. 그리고 ACTA 형식론에 기반하여 각 블록을 ECA규칙으로 변환하여 사건(event)을 감지하는 워크플로우 시스템으로의 구현 방안을 제시한다. 그 모델의 결과를 컴퓨터가 수행할 수 있도록 만들어주는 과정 즉, 비즈니스 프로세스를 모델에 입각하여 통제하는 데에 사건-조건-처리(ECA)규칙을 사용한다. 유형별로 ECA 규칙에 입각한 통제 논리를 설계하였으며, 이것은 규칙기반 워크플로우 관리시스템의 기초가 될 수 있다. 또한 본 연구의 결과가 현행 DBMS들의 능동형 규칙(active rule)에 적용될 수 있도록 구체적 대안을 제시하였다.