• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.83-93
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• 2022

Research is underway to solve the traffic problem by using crowdsourcing, where drivers use their mobile devices to provide traffic information. If it is used for traffic event detection through crowdsourcing, the task of collecting related data is reduced, which lowers time cost and increases accuracy. In this paper, we propose a scheme to collect traffic-related data using crowdsourcing and to detect events affecting traffic through this. The proposed scheme uses machine learning algorithms for processing large amounts of data to determine the event type of the collected data. In addition, to find out the location where the event occurs, a keyword indicating the location is extracted from the collected data, and the administrative area of the keyword is returned. In this way, it is possible to resolve a location that is broadly defined in the existing location information or incorrect location information. Various performance evaluations are performed to prove the superiority and feasibility of the proposed scheme.

• The Korean Journal of Archival Studies
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• no.42
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• pp.37-71
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• 2014

The purpose of this study was to analyze developed case of archiving on Mega Sport Event for searching effective method on a documentation of Mega Sport Event. In order to conduct this study, literature review method was using about book, thesis and data of internet homepage for exploring the stage on Mega Sports Event and case of Mega Sports Event record management. The field study was conducted about institute related to Olympic record management institution for analysing Mega Sports Event record management. The result of this study is following: Firstly, 2012London Organizing Committee of the Olympic Games's case(The People's Record Project) is useful to ex-ante event phase. Secondly, 2000Sydney Organizing Committee of the Olympic Games's case(Olympic Games Knowledge Management Project) is useful to event operation phase. Thirdly. LA84Foundation's case(Olympic Oral History Project) is useful to ex-post event. The significance of this study which came up with the study result above can be presented as follows. Based on the result of this study, it is assumed that three case for documentation about Mega Sports Event. Lastly, the result of this study was useful to Mega Sports Event record management institution. For the more, it will be conducted to study law of Mega Sport Event record management, humane and Material resource and method related to record management of the Mega Sports Event organizing committee.

• Korea Science and Art Forum
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• v.21
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• pp.117-129
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• 2015

The purpose of this study was to examine attitude of cultural events that affect participation satisfaction and loyalty of cultural events. Although cultural events are increasingly important with its positive impact on event participants, the existing literature on cultural event is sparse. This study, thus, investigates moderating effects of cultural events' involvement in a relationship between attitude of cultural event and participations' satisfaction and loyalty to understand the thoughts and attitude of participants. The survey was undertaken of participants to cultural events in Seoul, resulting in 513 valid responses. Through statistical analyses of factor analysis, multiple regression and hierarchical regression, four different factors of cultural event attitude were identified and those factors affect participation satisfaction and loyalty of cultural events. The results of this study provided support that there were moderated effects of cultural event involvement in the relationships between cultural event attitude and satisfaction and loyalty. More theoretical and practical implication were discussed in the conclusion.

• Journal of KIISE:Information Networking
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• v.36 no.5
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• pp.413-424
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• 2009

Wireless sensor network is based on an event driven system. Sensor nodes collect the events in surrounding environment and the sensing data are relayed into a sink node. In particular, when events are detected, the data sensing periods are likely to be shorter to get the more correct information. However, this operation causes the traffic congestion on the sensor nodes located in a routing path. Since the traffic congestion generates the data queue overflows in sensor nodes, the important information about events could be missed. In addition, since the battery energy of sensor nodes exhausts quickly for treating the traffic congestion, the entire lifetime of wireless sensor networks would be abbreviated. In this paper, a new congestion control method is proposed on the basis of genetic algorithm. To apply genetic algorithm, the data traffic rate of each sensor node is utilized as a chromosome structure. The fitness function of genetic algorithm is designed from both the average and the standard deviation of the traffic rates of sensor nodes. Based on dominant gene sets, the proposed method selects the optimal data forwarding sensor nodes for relieving the traffic congestion. In experiments, when compared with other methods to handle the traffic congestion, the proposed method shows the efficient data transmissions due to much less queue overflows and supports the fair data transmission between all sensor nodes as possible. This result not only enhances the reliability of data transmission but also distributes the energy consumptions across the network. It contributes directly to the extension of total lifetime of wireless sensor networks.

• Spatial Information Research
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• v.23 no.5
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• pp.1-7
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• 2015

Twitter has the fast propagation and diffusion of information compare to other SNS. Therefore, many researches about detecting real-time event using twitter are progressing. Twitter real-time event detecting system assumes every twitter user as a sensor and analyzes their written tweet in order to detect the event. Researches that are related to this twitter have already obtained good results but confronted the limits because of some problems. Especially, many existing researches are using the method that can trace an event location by using GPS coordinate. However, it can be suggested a definite limitation through the present user's skeptical responses about making personal location information public. Therefore, this paper suggests the method that traces the location information in tweet contents text without using the provided location information from twitter. Associated words were grouped by using the keyword that extracted in tweet contents text. The place that the events have occurred and whether the events have surely occurred are detected by this experiment using this algorithm. Furthermore, this experiment demonstrated the necessity of the suggested methods by showing faster detection compare to the other existing media.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.815-824
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• 2019

It is not easy to present a generalized operating model because the operating environment of a sport event is composed of a complex matrix structure. In this study, we propose 'standardization' which provides guidance of concept and process of sport event management to solve this sports event management problem. To purpose complete of this study, the frame was developed by the international standard ISO 9001: 2015 is applied. The standards framework for sports event process management system structure proposed in this study consists of scope of application, citing standard, Terms and definitions, organizational situation, leadership, planning, support, operation, performance evaluation, and improvement. This sport event process management system standard can be applied to any organization that wants to host, prepare, and operate sport events regardless of the form or scale of the sport event. In addition, this standard was focused on process management of life-cycle stages of sporting events, therefor it was possible to manage interrelationships and dependencies between processes and processes.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2002.06a
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• pp.134-135
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• 2002

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.317-319
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• 2012

본 논문은 NFC(근거리무선통신), M2M(사물지능통신) 기술을 활용한 이벤트 응모 단말시스템을 개발하여 관광객들에게 흥미를 유발할 수 있는 이벤트 응모 시스템을 도입, 관광지 이미지 향상으로 인한 관광 수익창출 및 제주관광 서비스를 활성화시켜 제주지역 발전에 크게 기여할 수 있도록 M2M 기반의 이벤트 응모 단말 시스템의 개발 내용을 기술 하였다.

• Journal of Korea Multimedia Society
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• v.12 no.7
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• pp.997-1005
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• 2009

In this paper, we suggest an energy-efficient clustering scheme based on cross-layer design in wireless sensor networks. The proposed scheme works adequately for the characteristic environment of the networks. In the proposed clustering scheme, we separate clusters composed of sensor nodes in the event area from clusters of the other area when an event occurs by using an application layer information. We can save energy from multiple paths through multiple clusters to deliver the same event. We also suggest TDMA scheduling for non-evented clusters. In the scheduling, we allocate one time slot for each node to save energy. The suggested clustering scheme can increase the lifetime of the entire network. We show that our scheme is energy efficient through simulation in terms of the frequency of event occurrences, the event continual time and the scope.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.4
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• pp.564-579
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• 2008

It is often challenging to evaluate local spatial association among onedimensional vectors generally representing paired-location events where two points are physically or functionally connected. This is largely because of complex process of such geographic phenomena itself and partially representational complexity. This paper addresses an alternative way to identify spatially autocorrelated paired-location events (or vectors) at a local scale. In doing so, we propose a statistical algorithm combining univariate point pattern analysis for evaluating local clustering of origin-points and similarity measure of corresponding vectors. For practical use of the suggested method, we present an empirical application using transactions data in a local housing market, particularly recorded from 2004 to 2006 in Franklin County, Ohio in the United States. As a result, several locally characterized similar transactions are identified among a set of vectors showing various local moves associated with communities defined.