• Asian-Australasian Journal of Animal Sciences
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• v.31 no.11
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• pp.1828-1832
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• 2018

Objective: Environmental change is one of the stressful events in livestock production. Change in environment disturbs cow behavior and cows require several days to regain a stable behavioral pattern. Sleeping posture (SP) and lying posture (LP) have been used as indicators for animal that are relaxed and well-acclimated to their environment. The aim of this study was to examine the time required by Japanese black cows for stabilization of SP and LP after moving into new environment. Methods: Seven pregnant Japanese black cows were used. Cows were moved into new tie-stall shed and their sleeping and lying posture measured 17 times during 35 experimental days. Both SP and LP were detected by accelerometer fixed on middle occipital and hip-cross, respectively. Daily total time, frequency, and average bout of both SP and LP were calculated. Results: Daily SP time was the shortest on day 1 and increased to the highest on day 3. It then decreased until day 9, after that stabilized about 65 min/d till the end of experiment. Daily LP time changed in same manner as daily SP time. The average SP bout was the longest on day 1, and then decreased to stable level on day 7. On the other hand, the average LP bout was the shortest on day 1, and it increased to stable level on day 7. Conclusion: These results showed that pregnant Japanese black cows needed 1 week to stabilize their SP. However, there were different change patterns between the average SP and LP bout, even though the change pattern of daily SP and LP time were similar.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.73-80
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• 2000

The paper is addressed to the topic of physiological response-specificity in disgust induced by visual stimulation. The purpose of this study was to evaluate reproducibility of physiological reactivity pattern during disgust elicited by the International Affective Pictures System (IAPS) in 2 experiments. Twenty-nine subjects participated in the first experiment with 3 visual stimulation sessions with disgust-eliciting slides (3 slides in each 1 min long session). In the second experiment disgust-eliciting slides from the IAPS were presented to 42 subjects in 2 sessions (one slide for 1 min). Spectral power of frontal EEG, skin conductance (SCL, SCR and NS.SCR), heart rate(HR), heart period variability(HPV) and respiration rate were recorded. Visual stimulation evoked 1:.n deceleration, higher power of high frequency component of HPV, increased SCL and NS.SCR frequency, frontal slow alpha blocking and moderate increase in fast beta power in most of the sessions in both experiments. However in the second experiment the EEG pattern associated with disgust showed inconsistent shifts in fast alpha and slow beta bands, but was marked by higher power of theta activity. Our data in both experiments emphasizes presence of disgust-specific profiles of autonomic and at the less extent EEG responses in visual stimulation context. Discussed are potential behavioral mechanisms leading to observed physiological manifestations in disgust elicited by visual stimulation. The results support the consideration that disgust is an withdrawal type negative valence emotion associated with relatively low autonomic arousal (low HR, low amplitude SCRs with relatively high NS.SCR frequency) and moderate EEG activation signs. Obtained data showed more consistent reproducibility of disgust-specific autonomic rather than EEG response patterns during visual stimulation design.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.175-191
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• 2008

In the early stage of industrial development, most of software companies were agglomerated at the CBD(Central Business Districts) in Seoul. However, the spatial distribution pattern of Korean Software industry has been changed according to the propagation of broadband, the change in rents, the governmental policy for industrial districts. In this research, using the software year book at 1997 and 2007, the emerging new pattern was analyzed using spatial clustering analysis. As a results of research, the spatial distribution was expanded in morphological changes. However, it was found that there was not a significant difference in a degree of accumulation. In the aspect of behavioral movement of companies, they tend to be relocated from the CBD to urban fringes and their movement is related to the product life cycle in selecting the clustered place.

• Journal of Arbitration Studies
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• v.31 no.2
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• pp.99-118
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• 2021

The participants in this study were university students, who are millennials and familiar with various devices and SNS enabling hyper connection, such as smartphones, the Internet, and the Internet of Things. People are sustaining their relationships with others by using the latest technology and cutting-edge devices at will. Some purchases are made at offline stores through online information, but products are checked through offline stores and purchased online. The MZ generation, which does not always have a fixed and constant behavioral response pattern, was considered a participant in this study because the response pattern may vary depending on one's tendency to avoid uncertainty. As a result of experimenting with the MZ generation, similar results were found in all dependent variables. Advertorial and general ads treated as independent variables affected the participants' tendency to avoid uncertainty. In other words, uncertainty avoidance tendency and interaction effect were found as a result of verifying the effects on the dependent variable of ads type. In an advertorial, the group with low uncertainty avoidance tendencies showed higher dependent variable effects than the group with high uncertainty avoidance tendencies; in general ads, uncertainty avoidance tendencies were higher. The higher group showed higher dependent variable effects than the lower group. Therefore, the group with a low tendency to avoid uncertainty has a high level of dependent variable effects in the advertorial, and the group with high uncertainty avoidance tendency performs self-interpretation in general ads.

• Journal of Preventive Medicine and Public Health
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• v.52 no.4
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• pp.258-264
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• 2019

Objectives: The perceptions of family-planning (FP) acceptors regarding contraception influence the reasons for which they choose to switch their method of contraception. The objective of this study was to analyze the perceptions of contraception and rationales for switching contraceptive methods among female FP acceptors in West Nusa Tenggara, Indonesia. Methods: This study involved the analysis of secondary data from the Improve Contraceptive Method Mix study, which was conducted in 2013 by the Center for Health Research, University of Indonesia. The design of the study was cross-sectional. We performed 3 stages of sampling using the cluster technique and selected 4819 women who were FP acceptors in West Nusa Tenggara Province, Indonesia as the subjects of this study. The data were analyzed using multiple logistic regression. Results: The predominant pattern of switching contraceptive methods was switching from one non-long-term method of contraception to another. Only 31.0% of the acceptors reported a rational pattern of switching contraceptive methods given their age, number of children, and FP motivations. Perceptions of the side effects of contraceptive methods, the ease of contraceptive use, and the cost of the contraceptives were significantly associated (at the level of ${\alpha}=0.05$) with rational patterns of switching contraceptive methods. Conclusions: Perceptions among FP-accepting women were found to play an important role in their patterns of switching contraceptive methods. Hence, fostering a better understanding of contraception through high-quality counseling is needed to improve perceptions and thereby to encourage rational, effective, and efficient contraceptive use.

• Physical Therapy Rehabilitation Science
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• v.8 no.3
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• pp.125-133
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• 2019

Objective: To compare the postural control between non-specific chronic low back pain (NSCLBP) subgroups and healthy people during dynamic balance performance using a modified Star Excursion Balance Test (mSEBT). Design: Cross-sectional study. Methods: Eighteen NSCLBP subjects (9 active extension pattern [AEP], 9 flexion pattern [FP]), and 10 healthy controls were enrolled in this study. All subjects performed mSEBT on their dominant leg on a force plate. Normalized reach distance and balance parameters, including the center of pressure (COP) displacement and velocity, were recorded. Results: There were significant differences in mean reach distances in both posterolateral and posteromedial (PM) reach directions between AEP and healthy subjects (p<0.001) and between FP and healthy subjects (p<0.001). However, there were no significant differences among the three groups in the anterior reach direction. Also, the results showed no significant differences in mean COP variables (velocity and displacement) between pooled NSCLBP and healthy subjects. However, the subjects were reclassified into AEP, FP and healthy groups and the results showed a significant difference in mean COP velocity in the PM direction between AEP and FP subjects (p=0.048), and between AEP and healthy subjects (p=0.024). Conclusions: The findings in this study highlight the heterogeneity of the individuals with NSCLBP and the importance of identifying the homogenous subgroups. Individuals with AEP and FP experience deficits in dynamic postural control compared to healthy controls. In addition, the findings of this study support the concept of the Multidimensional Classification System.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1957-1980
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• 2021

The significant aim of this research has always been to evaluate the mechanism for efficient and inherently aware usage of vitality in-home devices, thus improving the information of smart metering systems with regard to the usage of selected homes and the time of use. Advances in information processing are commonly used to quantify gigantic building activity data steps to boost the activity efficiency of the building energy systems. Here, some smart data mining models are offered to measure, and predict the time series for energy in order to expose different ephemeral principles for using energy. Such considerations illustrate the use of machines in relation to time, such as day hour, time of day, week, month and year relationships within a family unit, which are key components in gathering and separating the effect of consumers behaviors in the use of energy and their pattern of energy prediction. It is necessary to determine the multiple relations through the usage of different appliances from simultaneous information flows. In comparison, specific relations among interval-based instances where multiple appliances use continue for certain duration are difficult to determine. In order to resolve these difficulties, an unsupervised energy time-series data clustering and a frequent pattern mining study as well as a deep learning technique for estimating energy use were presented. A broad test using true data sets that are rich in smart meter data were conducted. The exact results of the appliance designs that were recognized by the proposed model were filled out by Deep Convolutional Neural Networks (CNN) and Recurrent Neural Networks (LSTM and GRU) at each stage, with consolidated accuracy of 94.79%, 97.99%, 99.61%, for 25%, 50%, and 75%, respectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.6-8
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• 2022

Web log analysis is one of the essential procedures for service improvement. ScienceON is a representative information service that provides various S&T literature and information, and we analyze its logs for continuous improvement. This study aims to analyze ScienceON web logs recorded in May 2020 and May 2021, dividing them into humans and web crawlers and performing an in-depth analysis. First, only web logs corresponding to S (search), V (detail view), and D (download) types are extracted and normalized to 658,407 and 8,727,042 records for each period. Second, using the Python 'user_agents' library, the logs are classified into humans and web crawlers, and third, the session size was set to 60 seconds, and each session is analyzed. We found that web crawlers, unlike humans, show relatively long for the average behavior pattern per session, and the behavior patterns are mainly for V patterns. As the future, the service will be improved to quickly detect and respond to web crawlers and respond to the behavioral patterns of human users.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.244-251
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• 2007

Intention reading technique is essential to provide personalized services toward more convenient and human-friendly services in complex ubiquitous environment such as a smart home. If a system has knowledge about an user's intention of his/her behavioral pattern, the system can provide mote qualified and satisfactory services automatically in advance to the user's explicit command. In this sense, learning capability is considered as a key function for the intention reading technique in view of knowledge discovery. In this paper, ore introduce a personalized media control method for a possible application iii a smart home. Note that data pattern such as human behavior contains lots of inconsistent data due to limitation of feature extraction and insufficiently available features, where separable data groups are intermingled with inseparable data groups. To deal with such a data pattern, we introduce an effective engineering approach with the combination of fuzzy logic and probabilistic reasoning. The proposed learning system, which is based on IFCS (Iterative Fuzzy Clustering with Supervision) algorithm, extract probabilistic fuzzy rules effectively from the given numerical training data pattern. Furthermore, an extended architectural design methodology of the learning system incorporating with the IFCS algorithm are introduced. Finally, experimental results of the media contents recommendation system are given to show the effectiveness of the proposed system.

• Korean Journal of Psychosomatic Medicine
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• v.18 no.1
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• pp.19-29
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• 2010

Objectives：Authors hypothesized that bipolar tendency of non-psychiatric person would be associated with stress vulnerability. To test the hypothesis, we compared perceived stress level, Type A Behavioral Pattern (TABP) and unhealthy lifestyle between person with and without bipolar tendency. Methods：The study cohort consisted of 1987 subjects without past and current psychiatric history. In this study, bipolar tendency was determined by MDQ response which requires endorsement of at least 7 of the 13 "yes or no" questions. We compared the scores of Perceived Stress Scale, A/B lifestyle questionnaire, and unhealthy lifestyle(alcohol, smoking, lack of exercise, irregular meal) between MDQ positive and negative respondents. Results：We identified the bipolar tendency group determined by the MDQ positive response were 329 subjects(16.6%). The overall score of the bipolar tendency group was significantly high on the A/B lifestyle questionnaire compared to the non-bipolar tendency group(125.4 vs. 115.9, p<0.001), and the rate of the subjects defined as TABP was also significantly high(41.3% vs. 30.1%, p<0.001). In comparison of subjectively perceived stress level, the bipolar tendency group was observed to be significantly higher than the non-bipolar tendency group (18.5% vs. 16.5%, p<0.001). The bipolar tendency group was significantly higher than the non-bipolar tendency group on the rate of answering：'irregular eating habit' (20.1% vs. 14.3%, p=0.002), '4-or-more-times alcohol intake per week' (29.8% vs. 16.5%, p<0.001), 'currently smoking' (41.9% vs. 23.0%, p<0.001), '2-or-less-times physical exercises per week' (63.2% vs. 55.1%, p=0.007). Conclusion：By clinical diagnosis, even a person who does not meet the criteria of bipolar disorder has a high risk of stress-related behavioral pattern, and perceived stress when possessing bipolar tendencies such as the (hypo) maniac tendency or affective instability. Such individual has significantly higher risk of having unhealthy life-style such as smoking, drinking, irregular eating habit and lack of exercise compared to non-bipolar tendency group. Since these risk factors lead to increase the risk of obesity, metabolic syndrome, diabetes, and cardiovascular diseases, the individual with the bipolar tendency requires a more effort to manage stress and to maintain healthy lifestyle.