• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.125-141
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• 2020

Recent Studies emphasize the effect of investors attention, recognition and sentiment on the trading behavior of retail investors and stock price variation. In this study, we use Naver Trend to measure investors'attention and investigate the relation between investor attention and price synchronicity, total risk and systematic risk of stocks. Using various research methodologies such as portfolio analysis, fixed effect regression and dynamic panel analysis, we find consistent results. First, stock price synchronicity is increased with lager average search volume, but with less search variability. Second, both average search volume and its variability are positively related to total risk and beta of stocks. These results can be interpreted that search volume sharply increases only when stock-related event occurs.

• Journal of KIISE:Databases
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• v.31 no.3
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• pp.219-231
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• 2004

Recently, together with increasing use of multimedia data, many works on moving objects in video databases have been made. Moving objects change visual features and spatial positions with the lapse of time in video data. And they arc related to the other objects or events. In this paper, we propose a new modeling and various query types of moving objects for content based retrieval in video databases. The proposed modeling represents visual features, moving trajectories and semantic contents related to objects. Therefore, it allows to process various query types. And we propose various query operators for the retrieval types. To show the superiority of our modoling, we implement the retrieval systems and compare it with the existing methods in terms of the supporting query types. The proposed method supports various query types and improves the efficiency of the query processing over the existing methods.

• The Transactions of the Korea Information Processing Society
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• v.4 no.4
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• pp.895-907
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• 1997

The mining of assciation rules disovers the trndency of events ocuring simultaneously in large databases. Previous announced research on association rules deals with associations with associations with respect to the whole transaction. However, xome association rules could have very high confidence in a sub-range of the time domain, even though they do not have quite high confidence in the whole time domain. Such kind of association rules are ecpected to be very usdful in various decion making problems.In this paper, we define transient association rule, as an association with high cimfidence worthy of special attention in a partial time interval, and propose an dfficeint algorithm wich finds out the time intervals appropriate to transient association rules from large-databases.We propose the data-driven retrival method excluding unecessary interval search, and design an effective data structure manageable in main memory obtined by one scanning of database, which offers the necessary information to next retrieval phase. In addition, our simulation shows that the suggested algorithm has reliable performance at the time cost acceptable in application areas.

• Fire Science and Engineering
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• v.33 no.2
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• pp.164-172
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• 2019

This study examined the Post-Traumatic Stress Disorder (PTSD)-related variables of firefighters through a systematic literature review. Electronic databases were searched, including RISS, National Assembly Library, NDSL, KmBase. The search terms were PTSD, Post-Traumatic Stress, Post-Traumatic Stress Disorder and Firefighter. Eleven studies from 146 references screened were included. All studies were non-experimental and correlational analyses. The positive correlation factors were age, duration of work, traumatic events, frequency of mobilization, number and strength of traumatic events experienced, work burden, coping method, D-type personality, depression, and anger rumination. The negative correlation factors were resilience, social support, self-esteem. To improve the mental health of firefighters in the future, professional intervention programs should be constructed to improve resilience, social support, and self-esteem, which are protective factors of PTSD.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.784-785
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• 2024

형량 예측 연구는 법률 인공지능에서 가장 활발히 연구되고 있는 분야 중 하나이며, 비법률전문가의 사법 신뢰도 상승과 법률전문가의 업무 부담 완화에 긍정적 영향을 줄 수 있다. 본 연구는 형사 사건의 양형 예측에 ChatGPT 를 접목하여 입력된 사실관계와 유사한 선행 판례를 검색함으로써 형량 예측에 필요한 모델의 훈련 시간과 비용을 절감하는 접근법을 제안한다. 본 모델의 weighted F1-score 는 0.53 으로, 미세조정된 BERT 모델과 유사한 성능을 기록하였다.

• Korean Security Journal
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• no.34
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• pp.89-113
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• 2013

Travel by airplane using airport in globalized modern society is familiar to our life but such airport can be a target of terrorists who would threaten our safety. However, aviation terrorism which is represented by 9.11 terror gives horror beyond our imagination to modern people. Since the first airplane hijacking in Peru in 1931 happened, security organization in each nation has taken various prevention measures to block aviation terrorism. The most realistic measures to prevent aviation terrorism would be security check activity to control approach of terrorist that passengers on airplane and cargos are checked to find out dangerous article like explosive etc. But security check activity in Korea shifted to security check activity focused on private security for efficiency of airport operation differently from security check activity in advanced countries where public interests is strengthened according to risk of terror after 9.11 system. That is, since Incheon airport opened in March 2001, security check system focused on the police was changed. Now Incheon international airport Corporation instructs and supervises security check job and private security personnel are in charge of actual security check activity. But this check system has limitation in blocking terror activity by terrorists which is systematized and intelligent as time passes due to deteriorated job satisfaction of private security personnel and confusing supervising system. Accordingly, it is suggested to introduce risk management skill which is one of management strategy of private corporation for security check activity to prevent terror activity. With this skill, risk factors of aviation terror are identified and analyzed regularly, and each process such as setting of priority, activity to reduce risk, and assessment of security is carried out. And it would be necessary to do efforts, for example, to properly change level of security check according to threat of terror such as to place policeman at airport security in case threat of terror is severe. On the other hand, it is necessary to establish national police organization for good communication of security check activity in field and supervising function, which can encourage systematization and specialization of aviation security job.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.209-218
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• 2017

In Korea, child abuse in child care centers occurs continuously, and it is becoming a social problem. The government has intensified the supervision of management in child care centers, and through strong countermeasures and prevention against child abuse, it enacted the special act on child abuse in oder to enable children to become healthy members of society. In this study, this researcher gasped the legal application on child abusers, and analysed how the punishment for abusers changed according to the application of the special act on child abuse, through examining precedents of child abuse in child care centers. 21 cases related to child abuse cases were collected by searching homepage of the supreme court and each district court in this study. As a result of analyzing the precedents, the sentence of the defendant did not increase greatly, and it differed from the criminal identification of the people in cases of child abuse on which the special act on child abuse was applied. Therefore, it can be seen that there is a demand for more rigorous legal application for abusers in order to prevent child abuse in child care centers.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.165-168
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• 2001

자동차 전조등에서 얻을 수 있는 자료는 차량마다 가지는 각각의 다양한 패턴과 문자 숫자 및 특수문자이탈 문자나 숫자 그리고 특수문자의 경우는 저장된 데이터베이스의 활용으로 그 차량에 대한 정보를 검색할 수 있다. 하지만 전조등의 경우에는 부분적인 패턴만이 있다면 숫자나 문자들의 정보에 의존할 수 없게 된다. 본 논문에서는 무늬가 가지는 특징의 추출을 이용하여 발생하고 있는 교통사고나 기타 사건의 발생시 부분적인 영상만이 획득되더라도 정색을 통한 후보 차량의 정색이 가능하도록 영상의 특성 값들을 구성하러 조합하였다. 본 시스템은 사고차량의 추적 및 교통사고에서보다 효율그인 과학수사에 일조할 것으로 기대한다.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.477-481
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• 2018

본 논문은 범죄 수사 기록 문서로부터 추출한 정보를 트리플로 구성하여 특정 분야의 온톨로지를 구축하고, 더 나아가 온톨로지 기반의 검색 서비스를 구현하는 일련의 과정을 설명한다. 특히 비정형 데이터로 부터 얻어낸 정보를 통해 온톨로지를 구축하고, 이를 토대로 실제 사용할 수 있는 레벨의 서비스를 구현하는 것이 특징이다. 서비스의 성능을 확인하기 위하여 사건 검색에 대한 정확도 측정 방법 중 하나인 Top-K 방식의 정확도 측정 실험을 수행하였으며, 실험 결과 완전 일치 실험에서는 약 93.52%, 유사 필드 활용 실험에서는 약 88.91%의 결과를 얻어낼 수 있었다.

• The KIPS Transactions:PartB
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• v.16B no.4
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• pp.309-318
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• 2009

The researches on the system that automatically records and retrieves one's everyday life is relatively actively worked recently. These systems, called personal memex or life log, usually entail dedicated devices such as SenseCam in MyLifeBits project. This research paid attention to the digital devices such as mobile phones, credit cards, and digital camera that people use everyday. The system enables a person to store everyday life systematically that are saved in the devices or the deviced-related web pages (e.g., phone records in the cellular phone company) and to refer this quickly later. The data collection agent in the proposed system, called MyMemex, collects the personal life log "web data" using the web services that the web sites provide and stores the web data into the server. The "file data" stored in the off-line digital devices are also loaded into the server. Each of the file data or web data is viewed as a memex event that can be described by 4W1H form. The different types of data in different services are transformed into the memex event data in 4W1H form. The memex event ontology is used in this transform. Users can sign in to the web server of this service to view their life logs in the chronological manner. Users can also search the life logs using keywords. Moreover, the life logs can be viewed as a diary or story style by converting the memex events to sentences. The related memex events are grouped to be displayed as an "episode" by a heuristic identification method. A result with high accuracy has been obtained by the experiment for the episode identification using the real life log data of one of the authors.