• KIPS Transactions on Software and Data Engineering
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• v.4 no.8
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• pp.301-308
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• 2015

SNS is a web-based online platform service supporting the formation of relations between users. SNS users have usually used a desktop or laptop for this purpose so far. However, the number of SNS users is greatly increasing and their access to the web is improving with the spread of smart phones. They share their daily lives with other users through SNSs. We can detect events if we analyze the contents that are left by SNS users, where the individual acts as a sensor. Such analyses have already been attempted by many researchers. In particular, Twitter is used in related spheres in various ways, because it has structural characteristics suitable for detecting events. However, there is a limitation concerning the detection of events and their locations. Thus, we developed a system that can detect the location immediately based on the district mentioned in Twitter. We tested whether the system can function in real time and evaluated its ability to detect events that occurred in reality. We also tried to improve its detection efficiency by removing noise.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.680-683
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• 2014

최근 스마트폰의 보급과 더불어 소셜 네트워크 서비스의 사용자가 급증하였다. 그 중 트위터는 개방적인 네트워크 구조로 인한 정보의 빠른 확산성을 가지고 있다. 또한 트위터 사용자들은 주로 자신들이 경험하거나 겪은 일들을 글로 작성하여 다른 사용자들과 공유한다. 따라서 그들이 남긴 데이터를 수집하고 분석할 수 있다면 트위터를 이벤트 탐지의 도구로써 활용하는 것이 가능하다. 이에 본 논문에서는 트위터를 이용하여 이벤트를 탐지하는 시스템을 제안한다. 실험을 위해 6개월간 수집한 트윗을 이용하였으며 분석을 위해 트윗 발생량에 관한 각종 수치들을 제시하였다. 이를 이용하여 이벤트 후보지역들을 선별하였고 실험 결과 최종 90%의 탐지율로 이벤트 지역들을 추출하였다.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.341-348
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• 2014

The advance in web accessibility with dissemination of smart phones gives rise to rapid increment of users on social network platforms. Many research projects are in progress to detect events using Twitter because it has a powerful influence on the dissemination of information with its open networks, and it is the representative service which generates more than 500 million Tweets a day in average; however, existing studies to detect events has been used TFIDF algorithm without any consideration of the various conditions of tweets. In addition, some of them detected predefined events. In this paper, we propose the RTFIDF VT algorithm which is a modified algorithm of TFIDF by reflecting features of Twitter. We also verified the optimal section of TF and DF for detecting events through the experiment. Finally, we suggest a system that extracts result-sets of places and related keywords at the given specific time using the RTFIDF VT algorithm and validated section of TF and DF.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.680-682
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• 2015

최근 스마트폰의 보급으로 소셜 네트워크 서비스를 이용하는 사용자들이 급증하였다. 그 중 트위터는 정보의 빠른 전파력과 확산성으로 인해 현실에서 발생한 이벤트를 탐지하는 도구로 활용하는 것이 가능하다. 따라서 트위터 사용자 개개인을 하나의 센서로 가정하고 그들이 작성한 트윗 텍스트를 분석한다면 이벤트 탐지의 도구로써 활용할 수 있다. 이와 관련된 연구들은 이벤트 발생 위치를 추적하기 위해 GPS좌표를 이용하지만 트위터 사용자들이 위치정보 공개에 회의적인 점을 감안하면 명확한 한계점으로 제시될 수 있다. 이에 본 논문에서는 트위터에서 제공하는 위치정보를 이용하지 않고, 트윗 텍스트에서 위치정보를 추적하는 방법을 제시하였다. 트윗 텍스트에서 키워드간의 관계를 고려하여 이벤트의 사실여부를 결정하였으며, 실험을 통해 기존 매체들보다 빠른 탐지를 보임으로써 제안된 시스템의 필요성을 보였다.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.153-158
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• 2016

As the number of social network users increases, the information on event such as social issues and disasters receiving attention in each region is promptly posted by the bucket through social media site in real time, and its social ripple effect becomes huge. This study proposes a detection method of events that draw attention from users in specific region at specific time by using twitter data with regional information. In order to collect Twitter data, we use Twitter Streaming API. After collecting data, We implemented event detection system by analyze the frequency of a keyword which contained in a twit in a particular time and clustering the keywords that describes same event by exploiting keywords' co-occurrence graph. Finally, we evaluates the validity of our method through experiments.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.504-505
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• 2015

본 논문은 현재 이슈화 되고 있는 CCTV에서 광역 감시를 위한 지능형 영상보안중 프라이버시 보호기술에 대해 서술한다. 다중 영상 카메라에서는 단일 CCTV에서 일부 지역에 대한 감시를 벗어나 지역과 지역을 연계하여 보다 넓은 지역을 하나의 시스템으로 연동하여 개인 신변의 안전 서비스를 제공하는데 목적을 갖는다. 본 논문에서는 다중 영상 카메라에서 프라이버시 보호 방법으로써 마스킹 기술, 이벤트 탐지 기술, 그리고 연동 기반의 객체 추적 기술, 객체 검색 기술 및 증거영상 생성 기술을 제시한다.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.7
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• pp.345-350
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• 2016

This research suggests the keyword filtering about disaster and the method of detecting area in real-time event detecting system by analyzing contents of twitter. The diffusion of smart-mobile has lead to a fast spread of SNS and nowadays, various researches based on studying SNS are being processed. Among SNS, the twitter has a characteristic of fast diffusion since it is written in 140 words of short paragraph. Therefore, the tweets that are written by twitter users are able to perform a role of sensor. By using these features the research has been constructed which detects the events that have been occurred. However, people became reluctant to open their information of location because it is reported that private information leakage are increasing. Also, problems associated with accuracy are occurred in process of analyzing the tweet contents that do not follow the spelling rule. Therefore, additional designing keyword filtering and the method of area detection on detecting real-time event process were required in order to develop the accuracy. This research suggests the method of keyword filtering about disaster and two methods of detecting area. One is the method of removing area noise which removes the noise that occurred in the local name words. And the other one is the method of determinating the area which confirms local name words by using landmarks. By applying the method of keyword filtering about disaster and two methods of detecting area, the accuracy has improved. It has improved 49% to 78% by using the method of removing area noise and the other accuracy has improved 49% to 89% by using the method of determinating the area.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1119-1121
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• 2015

본 논문에서는 트위터 내용을 통해 이벤트를 탐지하는 시스템에서 지명 검출 정확도를 개선하는 방법을 제안한다. SNS를 이용한 개인 정보 유출 사례들이 늘어감에 따라 자신의 위치 정보를 공개하기 꺼려하기 때문에 이벤트가 발생한 지역을 검출하기 위해서는 텍스트 내용을 직접 분석해야한다. 그러나 오타나 줄임말, 동형이의어의 사용으로 정확한 지명 검출에 어려움이 발생하였다. 따라서 정확도를 향상시키기 위해 본 논문에서는 두 가지 지명 검출 기법을 제안한다. 지명 단어에서 발생되는 노이즈를 제거하는 지명 노이즈 제거 기법과 랜드 마크를 이용하여 지명 단어를 확정하는 지명 확정 기법이다. 실험 결과 기존 시스템의 정확도 49%에서 지명 노이즈 제거기법은 56%, 지명 확정 기법은 73%로 각각 향상되었다.

• Journal of Advanced Navigation Technology
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• v.14 no.3
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• pp.343-350
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• 2010

Wireless Sensor Network is an event-driven system that a large number of micro sensor nodes are collected, giving and Wing information. Congestion can take place easily since a great number of sensor nodes are sensing data and transferring them to sink nodes when an event occurs, comparing to the existing wired network. Current internet transport protocol is TCP/UDP, however, this is not proper for wireless sensor network event-driven ESRT, STCP and CODA are being studied for reliable data transport in the wireless sensor network. Congestion are being detected local buffer and channel loading with these techniques. Broadcasting is mainly used and can avoid congestion when one happens. The way that combining local buffer and channel loading information and detecting congestion is being studied in this paper. When congestion occurs, buffering state is divided into three in order to lessen the broadcasting sending the message on congestion control to the node having frequent channel loading. Thus they have advantage of decreasing network's loading.