• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권1호
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• pp.58-65
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• 2007

Behavioral sequences of the medaka (Oryzias latipes) were continuously investigated through an automatic image recognition system in response to medaka treated with the insecticide and medaka not treated with the insecticide, diazinon (0.1 mg/l) during a 1 hour period. The observation of behavior through the movement tracking program showed many patterns of the medaka. After much observation, behavioral patterns were divided into four basic patterns: active-smooth, active-shaking, inactive-smooth, and inactive-shaking. The "smooth" and "shaking" patterns were shown as normal movement behavior. However, the "shaking" pattern was more frequently observed than the "smooth" pattern in medaka specimens that were treated with insecticide. Each pattern was classified using classification methods after the feature choice. It provides a natural way to incorporate prior knowledge from human experts in fish behavior and contains the information in a logical expression tree. The main focus of this study was. to determine whether the decision tree could be useful for interpreting and classifying behavior patterns of the medaka.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권4호
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• pp.477-481
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• 2010

본 연구에서는 무선 센서 네트워크를 기반으로 침대 주변에서 사람의 행동유형을 분류하고자 한다. 침대 주변에서 사람의 다섯가지 행동유형과 세가지 상태들을 정의하고, 이들을 상태기계로 표현하였다. 움직임 감지 및 진동센서들을 통해 행동유형 관련 데이터들을 수집하고 이로 부터 특정벡터를 추출하였다. 행동유형별 특징벡터와 상태기계를 기초로 행동유형 모델을 정립하였고, 정립된 모델의 유효성 검증을 위해 실험을 실시한 후 행동유형 모델을 보정하였다. 이러한 실험결과들은 침대 주변에서 사람들이 행하는 행동유형들이 잘 분류될 수 있음을 보여준다.

• Journal of Biosystems Engineering
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• 제24권5호
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• pp.431-438
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• 1999

The environmental control based on interactive thermoregulatory behavior for swine production has many advantages over the conventional temperature-based control methods. Therefore, this study was conducted to compare various feature selection methods using postural images of growing pigs under various environmental conditions. A color CCD camera was used to capture the behavioral images which were then modified to binary images. The binary images were processed by thresholding, edge detection, and thinning techniques to separate the pigs from their background. Following feature were used for the input patterns to the neural network ; \circled1 perimeter, \circled2 area, \circled3 Fourier coefficients (5$\times$5), \circled4 combination of (\circled1 ＋ \circled2), \circled5 combination of (\circled1 ＋ \circled3), \circled6 combination of (\circled2 ＋ \circled3), and \circled7 combination of (\circled1 ＋ \circled2 ＋ \circled3). Using the above each input pattern, the neural network could classify training images with the success rates of 96%, 96%, 96%, 100%, 100%, 96%, 100%, and testing images with those of 88%, 86%, 93%, 96%, 91%, 90%, 98%, respectively. Thus, the combination of perimeter, area and Fourier coefficients of the thinning images as neural network features gave the best performance (98%) in the behavioral classification.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1996년도 추계학술대회논문집
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• pp.47-55
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• 1996

This study developed a comprehensive and easily applicable nuclear reactor control system evaluation method using reactor operators behavioral and mental workload database. A proposed control panel design cycle consists of the 5 steps: (1) finding out inconvenient, erroneous, and mentally stressful factors for the proposed design through evaluative experiments, (2) drafting improved design alternatives considering detective factors found out in the step (1), (3) comparative experiements for the design alternatives, (4) selecting a best design alternative, (5) returning to the step (1) and repeating the design cycle. Reactor operators behavioral and mental workload database collected from evaluative experiments in the step (1) and comparative experiments in the step (3) of the design cycle have a key roll in finding out defective factors and yielding the criteria for selection of the proposed reactor control systems. The behavioral database was designed to include the major informations about reactor operators' control behaviors: beginning time of operations, involved displays, classification of observational behaviors, dehaviors, decisions, involved control devices, classification of control behaviors, communications, emotional status, opinions for man-machine interface, and system event log. The database for mental workload scored from various physiological variables-EEG, EOG, ECG, and respir- ation pattern-was developed to indicate the most stressful situation during reactor control operations and to give hints for defective design factors. An experimental test for the evaluation method applied to the Compact Nuclear Simulator (CNS) installed in Korea Atomic Energy Research Institute (KAERI) suggested that some defective design factors of analog indicators should be improved and that automatization of power control to a target level would give relaxation to the subject operators in stressful situation.

• 한국지능시스템학회논문지
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• 제15권6호
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• pp.682-687
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• 2005

본 논문에서는 생물의 2차원영상에서 5가지 특징을 추출한 다음 약품에 대한 생물의 행동 패턴 반응에 대하여 의사결정나무를 적용하여 패턴의 인식 및 분류를 하였다. 생물의 행동패턴을 대변하는 물리적인 특징인, 속도, 방향전환 각도, 이동거리에 대하여 각각 중간이상속도비율 FFT(Fast Fourier Transform), 2차원 정사영 면적, 프렉탈 차원, 무게중심을 사용하여 특징을 추출하였다. 이렇게 추출된 5가지의 특징변수들을 사용하여 의사결정나무 모델을 구성한 다음 생물의 약품 첨가에 대한 반응을 분석하였다 또한 결과에서는 기존의 생물의 행동패턴 구분에 쓰였던 전형적인 기법(conventional methods) 보다 본 연구에서 적용한 의사결정나무가 생물의 행동패턴이 가지는 물리적 요소에 대한 독해력을 가짐을 보임으로써 특정 환경에서 이동행동에 대한 분석을 용이하게 하고자 하였다.

• 대한간호학회지
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• 제20권1호
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• pp.79-87
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• 1990

Clinical and epedemiologic studies of coronary heart disease(CHD)have from time to time over the last three decades found associations between prevalence of CHD and behavioral attributes and cigarette smoking. The main purpose of this study is reduced to major risk factor of coronary heart disease through prohibition of smoking and control of behavior pattern. The subjects consisted of 120 smokers and 90 non-smokers who were married men older than 30 years working in officers. The officers were surveyed by means of questionnaire September 26 through October 6, 1989. The Instruments used for this study was a self-administered measurement tool composed of 59 items was made through modifications of Jenkuns Activity Survery(JAS). The Data were analysed by SAS(Statistical Analsis System) program personal computer. The statistical technique used for this study were Frequency, x$^2$-test, t-test, ANOVA, Pearson Correlation Coefficient. The 15 items were chosen with items above 0.3 of the factor loading in the factor analysis. In the first factor analysis 19 factors were extracted and accounted for 86% of the total variance. However when the number of factors were limited to 3 in order to derive Jenkins classification, three factors were derived. There names are Job-Involvement, Speed & Impatience, Hard-Driving. Each of them includes 21 items, 21 and 9, respectively. The results of this study were as follow : 1. The score of the smoker group and non-smoker group in Job-Involvement(t＝5.7147, p＜0.0001), Speed & Impatience(t＝4.6756, p＜.0001), Hard-Driving(t＝8.0822, p＜.0001) and total type A behavior pattern showed statistically significant differences(t＝8.1224, p＜.0001). 2. The score of type A behavior pattern by number of cigarettes smoked daily were not statistically significant differences. 3. The score of type A behavior pattern by duration of smoking were not significant differences. It was concluded that the relationship between smokers and non - smokers of type A behavior pattern was statistically significant difference but number of cigarettes smoked daily and duration of smoking were not significant differences. Therefore this study is needed to adequate nursing intervention of type A behavior pattern in order to elevated to educational effect for prohibition of cigarette smoking.

• 정보처리학회논문지B
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• 제11B권3호
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• pp.281-288
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• 2004

본 논문은 외부 자극에 대한 생물 행동의 복잡하고 다양한 특징들을 추출하고 분석하기 위한 방법을 제안한다. 이를 위해 물 속 생물인 깔따구의 행동궤적으로부터 얻어 낸 속도 벡터의 위상영상에 적응적이고 수리적인 방법인 에너지 최소화 모델을 적용한다. 즉, 다이아지논이라는 약물이 처리되기 전과 후의 깔따구의 행동궤적의 특징을 위상영상으로부터 찾아내어 행동 패턴을 분류하고 이 약물에 대한 깔따구의 적응적 행동 특징을 추출하는 것이다. 특징추출을 위해 도입한 방법은 T. Chan과 L. Vese에 의해 제안된 개선 Active Contour 모델에 근거한 것으로 Active Contour를 진화시키는 과정에서 생성되는 에너지함수 값의 변화를 이용한 것이다. Active Contour 모델이란 주어진 영상에 놓인 커브를 그 커브에 의해 분할된 부분영상들의 에너지 값들의 합을 최소화하는 방향으로 변화하게 함으로써 영상 내 객체의 경계를 찾는 영상분할 방법이다. 깔따구의 행동궤적 데이터는 CCD 카메라를 통해 0.25초 간격으로 약물을 처리하기 전과 후 4일 간을 관찰하여 획득하고, 이 행동궤적 데이터에서 행동의 특징 요소가 되는 속도벡터 성분을 15-20분 간격으로 추출하여 위상영상을 만든다. 그리고 이 위상영상에 Active Contour를 적용함으로써 시간에 따라 감소하는 에너지 함수 값의 그래프에서 구해진 기울기 변화에 대한 수리적 계산과 분석을 통해 깔따구 행동궤적의 특징을 찾고 행동 패턴을 분류한다. 또한, 에너지 최소화 모델은 약물 처리된 깔따구의 반응적인 행동이 이에 적응하고 있음을 효과적으로 보여준다.

• 한국동물생명공학회지
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• 제36권2호
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• pp.99-105
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• 2021

In horse management, the alarm system with sensors in the foaling period enables the breeder can appropriately prepare the time of the parturition. It is important to prevent losses by unpredictable parturition because there are several high risks such as dystocia and the death of foals and mares during foaling. However, unlike analysis in the alarm system that detects specific motions has been widely performed, analysis of classification following specific behavior patterns or number needs to be more organized. Thus, the objective of this study is to classify signs of the specific behaviors of the mares for the prediction of pre-foaling behaviors. Five Thoroughbred mares (9-20 yrs) were randomly selected for observation of the pre-foaling behaviors. The behaviors were monitored for 90 min that was divided into three different periods as 1) from -90 to -60 min, 2) from -60 to -30 min, 3) from -30 min to the time for the discharge of the amniotic fluid, respectively. The behaviors were divided into two different categories as state and frequent behaviors and each specific behavioral pattern for classification was individually described. In the state behaviors, the number of mares in the standing of the foaling group (3.17 ± 0.18^b) at period 3 was significantly higher than the control group (1.67 ± 0.46^a). In contrast, the number of the mares in the eating of the foaling group (1.17 ± 0.34^b) at period 3 was significantly lower than the control group (3.33 ± 0.46^a). In the frequent behaviors, the weaving of the foaling group was significantly higher than the control group, and looking at the belly of the foaling group was significantly lower than the control group. In period 2, defecation, weaving, and lowering the head of the foaling group were significantly higher than the control group, respectively. In period 3, sitting down and standing up, pawing, weaving, and lowering the head in the foaling group were also significantly higher than the control group. In conclusion, the behavior is significantly different in foaling periods, and the prediction of foaling may be feasible by the detection of the pre-foaling behaviors in the mares.

• 부모자녀건강학회지
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• 제1권
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• pp.56-74
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• 1998

The language of the newborn, like that of adults, is one of gesture, posture, and expression(Lewis, 1980). Helping parents understand and respond to their newborn's cues will make caring for their baby more enjoyable and may well provide the foundation for a communicative bond that will last lifetime. Infant state provides a dynamic pattern reflecting the full behavioral repertoire of the healthy infant(Brazelton, 1973, 1984). States are organized in a predictable emporal sequence and provide a basic classification of conditions that occur over and over again(Wolff, 1987). They are recognized by characteristic behavioral patterns, physiological changes, and infants' level of responsiveness. Most inportantly, however, states provide caregivers a framework for observing and understanding infants' behavior. When parents know how to determine whether their infant is sleep, awake, or drowsy, and they know the implications, recognition of states has for both the infant's behavior and for their caregiving, then a lot of hings about taking care of a newborn become much easier and more rewarding. Most parents have the skills and desire to do what is best for their infant. The skills 7373parents bring to the interaction are: the ability to read their infant's cues: to stimulate the baby through touch, movement, talking, and looking at: and to respond in a contingent manner to the infant's signals. Among the crucial skills infants bring to the interaction are perceptual abilities: hearing and seeing, the capacity to look at another for a period of time, the ability to smile, be consoled, adapt their body to holding or movement, and be regular and predictable in responding. Research demonstrates that the absence of these skills by either partner adversely affects parent-infant interaction and later development. Observing early parent-infant interactions during the hospital stay is important in order to identify parent-infant pairs in need of continued monitoring(Barnard, et al., 1989).

• 웰빙융합연구
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• 제5권2호
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• pp.1-9
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• 2022

Purpose: This study looked at perfume buying patterns among 328 adolescents. Research design, data and methodology: The purchasing behaviors and attitudes of adolescents were divided into clusters and whether the purchasing behaviors and attitudes of each cluster had a moderating effect on purchasing behavior factors was analyzed. Results: Group classification according to attitude toward perfume purchasing behavior was divided into group 1, which purchases perfume according to one's own subjective opinion, and group 2, who purchases perfume according to external factors. Among the six purchasing behavior factors, the internal pleasure-seeking (p.<001) and fashion-seeking (p.<001) factors were statistically significant in both clusters 1 and 2, and in cluster 2, economic feasibility (p.<001)) internal product. It was found to be statistically significant other than pleasure and trend-seeking, indicating that there is a difference between the two groups. Conclusion:Adolescents consider economic feasibility when purchasing perfume, so it is necessary to set low prices and diversify products for marketing plans for perfume products