• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.449-458
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• 2018

As the usage of social network services increases, event information occurring offline is spreading more rapidly. Therefore, studies have been conducted to detect events by analyzing social data. In this paper, we propose a graph based event detection scheme considering user interest in social networks. The proposed scheme constructs a keyword graph by analyzing tweets posted by users. We calculates the interest measure from users' social activities and uses it to identify events by considering changes in interest. Therefore, it is possible to eliminate events that are repeatedly posted without meaning and improve the reliability of the results. We conduct various performance evaluations to demonstrate the superiority of the proposed event detection scheme.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1540-1549
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• 2004

In this paper, we propose an algorithm to detect semantic events in golf video using Hidden Markov Model. The purpose of this paper is to identify and classify the golf events to facilitate highlight-based video indexing and summarization. In this paper we first define 4 semantic events, and then design HMM model with states made up of each event. We also use 10 multiple visual features based on MPEG-7 visual descriptors to acquire parameters of HMM for each event. Experimental results showed that the proposed algorithm provided reasonable detection performance for identifying a variety of golf events.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.691-700
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• 2009

An event means a flow which has a time attribute such as the a symptom of patients, an interval event has the time period between the start-time-point and the end-time-point. Although there are many studies for temporal data mining, they do not deal with discovering knowledge from interval event such as patient histories and purchase histories. In this paper, we suggest a method of temporal data mining that finds association rules of event causal relationships and predicts an occurrence of effect event based on discovered rules. Our method can predict the occurrence of an event by summarizing an interval event using the time attribute of an event and finding the causal relationship of event. As a result of simulation, this method can discover better knowledge than others by considering a lot of supports of an event and finding the significant rare relation on interval events which means an essential cause of an event, regardless of an occurrence support of an event in comparison with conventional data mining techniques.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.757-763
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• 2003

웹서비스 기술이 발전함에 따라 분산환경의 웹기반 서비스들을 조합한 복잡한 비즈니스 프로세스를 구현할 수 있게 되었다. 이러한 비즈니스 프로세스는 일반적으로 비즈니스 활동(activity)들의 순서와 로직을 포함딴 이벤트 기반 모델(event-driven model)로 표현되고 있다. 하지만 비즈니스 활동을 수행하기 위해서는 불특정 다수의 대안 서비스들 중 하나를 런타임-바인딩(runtime binding)하여 해당 비즈니스 활동을 수행해야 하는 경우가 빈번히 일어나는데. 이는 기존의 이벤트 기반 모델링 기법만을 이용해서 해결하기 어렵다. 따라서 본 논문에서는 비즈니스 프로세스를 동적으로 통합할 수 있도록 상태 기반 협상 모델링(state-,driven brokering modeling SDBM)을 기존 모델링 기법에 확장한 아키텍쳐를 제안한다. SDBM은 이벤트 기반 모델링에서 표현하기 힘든 대안 서비스들의 동적 런타임-바인딩을 가능하게 하는데. 이는 대화 정잭(conversation policy)을 구현함으로써 가능해 진다. 본 논문에서는 핵심 비즈니스 프로세스에 독립적이며 웹기반의 분산 비즈니스 프로세스 간의 유연한 통합과 자동화된 협업을 수행랄 수 있는 확장된 메커니즘을 웹서비스 기술로 구현하였다.

• The Journal of the Acoustical Society of Korea
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• v.34 no.3
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• pp.234-239
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• 2015

Non-Negative Matrix Factorization (NMF) is a method for updating dictionary and gain in alternating manner. Due to ease of implementation and intuitive interpretation, NMF is widely used to detect and separate overlapping sound events. However, NMF that utilizes non-negativity constraints generates parts-based representation and this distinct property leads to a dictionary containing fragmented acoustic events. As a result, the presence of shared basis results in performance degradation in both separation and detection tasks of overlapping sound events. In this paper, we propose a new method that utilizes K-Singular Value Decomposition (K-SVD) based dictionary to address and mitigate the part-based representation issue during the dictionary learning step. Subsequently, we calculate the gain using NMF in sound event detection step. We evaluate and confirm that overlapping sound event detection performance of the proposed method is better than the conventional method that utilizes NMF based dictionary.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.315-332
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• 2009

In logistic environments, a process, in that it manages the flow of materials among partners, involves more than one organization. In this regard, a logistic process, as a combined process consisting of multiple sub processes, needs to be managed with controling interaction among partners. In achieving systematic management of a logistic process, traditional Business Process Management (BPM) cannot be used for the entire flow, since it lacks the ability to manage interactions among partners. Particularly in logistic environments where RFID technologies are used, how to deal with the connection between RFID event and logistic flow has not been properly addressed. To overcome this limitation, this paper proposes a new method of managing multi-organizational logistic processes based on RFID events. We define inter-workflow pattern, and suggest ECA(Event-Condition-Action) rules for auto triggering of logistic processes. To adjust the rules to RFID events, we invent RFID-based ECA rules using complex event. A prototype system has been developed for the purpose of demonstrating the effectiveness of our approach.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.65-75
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• 2014

The main focus of this paper is to analyze trend of event informations in a variety of mass media by graphical visualization in axis of the time and location. Especially, continuity analysis based on user-generated social media can reflect the social impact of a certain event according to change time and location and their directional changes. To reveal the characteristics of continuous events, we survey the data set collected from news articles and tweets during two years. Based on case studies on 'disease' and 'leisure', we verify the effectiveness and usefulness of our proposed method. Even though some events occurred during same period, we showed directional changes which have high-impact in social media referred user interest's, compared with fact-based continuous visualization results.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.5
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• pp.3-13
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• 2006

As computing devices become ubiquitous and increasingly mobile, it becomes obvious that a synchronous and direct peer-to-peer communication model is not sufficient in distributed computing environment. Using an indirect event service instead of other traditional communication model has an advantage of decreasing the coupling of applications in a distributed environment and removing the need for many static dependencies. In this paper, we design and implement the secure event service for providing secure ubiquitous computing environment. The Secure Event Service implemented enables users to perform content-based event retrieval, and supports only eligible event comsumer and event producer can publish and receive events through the secure event service. SPKI/SDSI certificate is used for supporting authentication and authorization in the secure event service. In order to provide a content-based event retrieval, an asynchronous communication between event producers and consumers, and a disconnectedness support for mobile devices, we modify and expand the Javaspace package.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.61-62
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• 2019

RPG장르를 기준으로 게임이용등급별 게임들의 평균 이벤트 기간의 차이를 조사, 분석한 결과, 게임이용 등급별 게임들의 이벤트 실시 기간의 평균의 차이를 보이지 않고 있음을 알 수 있다. 이에 본 연구에서는 정액제와 부분유료화 등 요금정책을 기반으로 정액제를 실시하고 있는 게임과 부분유료화를 실시하고 있는 게임간의 이벤트 실시 기간의 평균의 차이를 연구하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.71-74
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• 2007

오늘날 자연재해 발생 빈도수가 증가하고 있어 ESP(Energy Service Provider)와 대수용가에 서는 예기치 못한 정전 및 에너지 중단과 같은 이벤트가 발생하면 재산상의 손실과 같은 피해가 커지고 있다. 이에 에너지 포털 시스템에서 발생활 수 있는 다양한 이벤트들을 실시간으로 처리할 수 있는 효율적인 이벤트 모델링 개발이 필요하다. 그러나 현재 이러한 이벤트 처리를 위한 이벤트 모델링 개발은 거의 이루어지고 있지 않다. 이에 본 논문에서는 에너지 포털 시스템에서 발생하는 정전과 같은 이벤트와 원격 검침 둥과 같은 부가 서비스를 제공함에 따라 발생하는 이벤트들을 지능을 가진 실시간 에이전트를 사용하여 웹 환경에서 W3C 이벤트 처리 권고안인 DOM 모델을 기반으로 esXML(energy system eXtensible Markup Language)을 사용하여 효율적으로 처리할 수 있는 모델링을 개발하였다.