• Title/Summary/Keyword: classification of behavioral pattern

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Movement Pattern Recognition of Medaka for an Insecticide: A Comparison of Decision Tree and Neural Network

  • Kim, Youn-Tae;Park, Dae-Hoon;Kim, Sung-Shin
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.1
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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.

Classification of Behavioral Patterns Associated with Sleeping in Residential Space (주거공간에서 수면 전후의 행동유형 분류)

  • Cho, Seung-Ho;Kim, Woo-Yeol;Moon, Bong-Hee
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.4
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    • pp.477-481
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    • 2010
  • In this paper, we try to classify behavior patterns of a person around a bed based on a wireless sensor network system. We define five behavioral patterns and three states of a person around a bed which is described by a state machine. We collected data sensed by motion detection and vibration sensors installed around a bed from which a feature vector was extracted. Based on feature vector corresponding to behavioral patterns and the state machine, we established a model for behavioral patterns. To validate the model, experiments on subjects were performed and the model was fixed. These experimental results revealed that behavior patterns of a person around a bed can be classified well.

Development of Classification System for Thermal Comfort Behavior of Pigs by Image Processing and Neural Network (영상처리와 인공신경망을 이용한 돼지의 체온조절행동 분류 시스템 개발)

  • 장동일;임영일;장홍희
    • Journal of Biosystems Engineering
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    • v.24 no.5
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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.

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Measurement of inconvenience, human errors, and mental workload of simulated nuclear power plant control operations

  • Oh, I.S.;Sim, B.S.;Lee, H.C.;Lee, D.H.
    • Proceedings of the ESK Conference
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    • 1996.10a
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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.

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Classification and Recognition of Movement Behavior of Animal based on Decision Tree (의사결정나무를 이용한 생물의 행동 패턴 구분과 인식)

  • Lee, Seng-Tai;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.6
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    • pp.682-687
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    • 2005
  • Behavioral sequences of the medaka(Oryzias latipes) were investigated through an image system in response to medaka treated with the insecticide and medaka not treated with the insecticide, diazinon(0.1 mg/1). After much observation, behavioral patterns could be divided into 4 patterns: active smooth, active shaking, inactive smooth, and inactive shaking. These patterns were analyzed by 5 features: speed ratio, x and y axes projection, FFT to angle transition, fractal dimension, and center of mass. Each pattern was classified using decision tree. It provide a natural way to incorporate prior knowledge from human experts in fish behavior, The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the animal.

A Study on Behavior Patterns Between Smokes and Non-Smokers (흡연자와 비흡연자의 행동양상 연구)

  • 김화신
    • Journal of Korean Academy of Nursing
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    • v.20 no.1
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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.

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Energy Minimization Model for Pattern Classification of the Movement Tracks (행동궤적의 패턴 분류를 위한 에너지 최소화 모델)

  • Kang, Jin-Sook;Kim, Jin-Sook;Cha, Eul-Young
    • The KIPS Transactions:PartB
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    • v.11B no.3
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    • pp.281-288
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    • 2004
  • In order to extract and analyze complex features of the behavior of animals in response to external stimuli such as toxic chemicals, we implemented an adaptive computational method to characterize changes in the behavior of chironomids in response to treatment with the insecticide, diazinon. In this paper, we propose an energy minimization model to extract the features of response behavior of chironomids under toxic treatment, which is applied on the image of velocity vectors. It is based on the improved active contour model and the variations of the energy functional, which are produced by the evolving active contour. The movement tracks of individual chironomid larvae were continuously measured in 0.25 second intervals during the survey period of 4 days before and after the treatment. Velocity on each sample track at 0.25 second intervals was collected in 15-20 minute periods and was subsequently checked to effectively reveal behavioral states of the specimens tested. Active contour was formed around each collection of velocities to gradually evolve to find the optimal boundaries of velocity collections through processes of energy minimization. The active contour which is improved by T. Chan and L. Vese is used in this paper. The energy minimization model effectively revealed characteristic patterns of behavior for the treatment versus no treatment, and identified changes in behavioral states .is the time progressed.

Classification of behavioral signs of the mares for prediction of the pre-foaling period

  • Jung, Youngwook;Jung, Heejun;Jang, Yongseok;Yoon, Duhak;Yoon, Minjung
    • Journal of Animal Reproduction and Biotechnology
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    • v.36 no.2
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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 ± 0.18b) at period 3 was significantly higher than the control group (1.67 ± 0.46a). In contrast, the number of the mares in the eating of the foaling group (1.17 ± 0.34b) at period 3 was significantly lower than the control group (3.33 ± 0.46a). 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.

States, Behaviors and Cues of Infants (영아의 상태, 행동, 암시)

  • Kim, Tae-Im
    • Korean Parent-Child Health Journal
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    • v.1
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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).

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Analysis of Purchasing Moderating Effect on Perfume Purchasing Propensities & Behavioral Attitudes

  • JANG, Hee-In;LIM, Ju-A;SO, Young-Jin
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.2
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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