• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.16 no.1
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• pp.39-51
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• 2011

Acute toxicity test and behavioral change analysis of seawater acclimated Japanese medaka were conducted to identify the brine effects on fish by seawater desalination. 7 day acute toxicity test of brine revealed linear concentration-response relationship from 40.0~80.0 psu treatment groups. There was no significant brine effect for 30-40 psu groups and mass mortality was observed from >50 psu exposure (7-day $LC_{50}$=51.4 psu). Images from the real time camera system were analyzed to observe the changes in behavioral patterns of medaka exposed to various salinity. 40.0 and 50.0 psu exposed groups were stabilized in behavioral patterns after 3.1 and 4.6 hours, respectively and 60.0 psu group showed sharp increase in activity during first 12 hours and 50% mortality thereafter. Similar patterns were observed to 70 and 80 psu groups and both experimental groups showed 100% mortality within 12 hours. Acute toxicity test and behavioral patterns showed very similar toxicity results which revealed the increases in mortality and behavioral activities from 50.0 psu. This critical salinity for fish impacts must be implemented to brine discharge strategy by seawater desalination into the coastal area. Also, we recommend that real time camera monitoring system must be a useful tool for early warning of fish toxicity for other applications. This research was funded by Ministry of Land, Transport and Maritime Affairs, Korea.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.57-58
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• 2019

본 논문에서는 앞서 진행한 연구들과 딥러닝을 이용한 고소작업자 행동 모니터링 논문에 이어 작업자 위험 행동분류 시스템을 개선할 수 있는 연구 결과를 비교, 설명한다. 이번 연구에서는 작업자의 행동에 따른 고도계 센서의 데이터를 추가로 수집하여 작업자의 더 다양한 행동을 분류하고 위험 행동 패턴 분석을 위한 방향을 제시한다.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.79-85
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• 2002

In this paper, multilevel models are adopted to identify interactions among household members in trip making behaviors. The multilevel approach is a proper methodology to handle samples, which are extracted from a hierarchical structure universe. PSTP dataset is used in developing models and understand proportion of variations among individuals and household. The results of this study show that for activity participation and travel behavior household level variance is more than 1/4 of person level variance and therefore not negligible. The results confirm the importance of multilevel model in travel behavior analysis.

• Korean Journal of Environment and Ecology
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• v.37 no.1
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• pp.70-75
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• 2023

This study was conducted from October 2021 to October 2022 at Gulup island, Incheon, South Korea, to identify activity patterns of Formosan sika deer (Cervus nippon taiouanus) introduced in island areas, using camera trapping. We described the daily activity patterns of Formosan sika deer in each season by analyzing kernel density estimates of capture frequency and checked seasonal differences in daily activity patterns by analyzing the overlap coefficient between seasons. Formosan sika deers introduced to Gulup island showed a crepuscular behavior pattern only in winter and no distinct pattern from spring to fall. The crepuscular behavior pattern is typical for deers to reduce the risk of predation, and it is determined that Formosan sika deers introduced to Gulup island were affected by population control of the species by the local government in the winter. It was in contrast to the fact that human activities, such as backpacking, frequently carried out from spring to fall, did not affect the behavior of Formosan sika deers. Moreover, low winter temperatures have been shown to affect the nocturnal activities of Formosan sika deers in winter. The behavior patterns of Formosan sika deers overlapped least between summer and winter due to cold winter weather and population control. The relationship between the temporal status of Formosan sika deers and seasonal temperature confirmed in this study can be important basic ecological data for establishing control measures of Formosan sika deers introduced not only in islands but also in inland.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.277-286
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• 2002

전통적인 고객관계관리 연구는 특정 시점에서 고객관계관리에 중점을 두어 연구되었다. 정적인 고객관계관리와 고객 행동에 관한 지식은 마케팅 관리자가 제한된 마케팅 자원을 이익의 극대화를 위해 사용할 수 있게 해주었다. 그러나 시간이 경과하게 되면 이러한 정적인 지식은 쓸모가 없어지게 된다. 그러므로 고객관계관리는 고객의 동적 특성을 반영해야 한다. 과거 고객의 구매 행위를 관찰하여 현재 또는 미래 시장의 고객을 세분화하여 구분된 고객 군집에 대해 서로 다른 마케팅 전략을 사용할 수 있다. 고객의 구매행동을 근간으로 한 고객관계관리는 수십 년 전부터 연구되어왔지만 동적인 고객관계관리에 대한 연구는 최근에 들어 활발하게 진행되고 있다. 본 논문은 인터넷 상점의 고객 데이터로부터 추출된 지식과 시간 경과에 따른 고객 행동 패턴의 분석을 위해 데이터마이닝과 모니터링 에이전트 시스템(MAS)을 이용하며, 이를 통해 동적인 고객관계관리 모델을 제시한다. 이 모델은 고객 이력 경로에 대한 예측과 고객에게 나타나는 집단 이력경로의, 분석, 그리고 시간 경과에 따른 고객 군집의 변화에 대한 분석, 그에 따른 마케팅 전략 도출을 포함한다. 이 모델의 제안은 많은 온라인 소매상이 직면할 수 있는 경영상의 문제를 해결하는데 유용할 것이다.

• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.139-146
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• 2008

It is very important to identify useful web user group and induce their behavior pattern in eCRM domain. Inducing user group with a similar inclination, a reliability of user group decreases because there is an uncertainty in online user data. In this paper, we have applied the 2-tier clustering, which uses the outcome of interaction with data from other tiers. Also we propose a method which induces user behavior pattern from a cluster and compare C4.5 with our method.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.622-626
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• 2006

In this paper, we show the usefulness of an methodology using a neural network that it analyzes a relation between learning personality related variables of the Enneargram and learning personality types. The Enneargram is a tool to classify learning personality types. In other words, we analyzed patterns of learning personality types-actaul-spontaneous type, actual-routine type, conceptual-specific type, conceptual-global type - by using the fuzzy TAM network that are very useful tool for pattern analysis.

• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.64-71
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• 2006

Electronic mail (E-mail) is an integral part of communication for the recent Internet users. However, e-mail has also come to serve as a means to support flood of unwanted spam mails and junk mails having bad purposes. This paper was conducted in order to develop an intelligent e-mail system using user behavior pattern that can prevent these unnecessary information and enable the user to enjoy communication via e-mail in a cleaner environment. The concentrated analysis of the user behavior in terms of using e-mail functions has resulted in better classification between unnecessary and necessary information, thereby facilitating faster disposal of spam mails.

• Proceedings of the KIEE Conference
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• 2000.11d
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• pp.836-838
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• 2000

전자상거래에서 쇼핑몰의 개인화된 서비스를 제공하기 위해서는 소비자의 구매 패턴을 분석하는 것이 필요하다. 이러한 패턴을 효과적으로 분석하기 위해 웹사이트 상에서 사용자 행동 패턴 정보를 수집해야 한다. 본 논문에서는 사용자 패턴 수집 시스템으로 쇼핑몰 서버에 기능을 추가하고 지능형 웹로그 서버를 정의하며 이를 설계, 구현하였다. 전자상거래 쇼핑몰 서버에는 사용자 행위 정보를 로그에 포함시켜 지능형 웹로그 서버에 전송하는 기능을 추가하였다. 그리고 지능형 웹로그 서버는 쇼핑몰 서버로부터 받은 로그 데이터를 분석하고 데이터베이스화하여 저장한다. 이때 데이터베이스 저장 기술로 OLE DB Provider상에서 수행되는 ADO기술을 사용한다. 그리고 저장된 데이터베이스를 레코드셋 단위로 원격에서 제어 가능하게 한다. 또 생성된 데이터베이스에서 필요한 데이터를 선별하여 XML DB로 저장한다. 이와 같은 사용자 패턴 수집 시스템은 데이터베이스 접근 속도가 빠르고, 관계형이나 비관계형 둘 다의 데이터베이스 접근이 가능하다는 장정을 가지며, 원격 데이터 베이스 접근 시 서버의 부하를 줄일 수 있다는 장점이 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.510-512
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• 2019

Recently, there have been growing requirements in the public safety sector to ensure safety through detection of hazardous situations or preemptive predictions. It is noteworthy that various sensor data can be analyzed and utilized as a result of mobile device's dissemination, and many advantages can be used in terms of safety and security. An effective modeling technique is needed to combine sensor data generated by smart-phones and wearable devices to analyze users' moving patterns and behavioral patterns, and to ensure public safety by fusing location-based crime risk data provided.