• Korean Institute of Interior Design Journal
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• no.36
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• pp.93-101
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• 2003

The first object of this study is to clarify the newly demanded service to the visiter in the museum. And the second is to consider the spatial configuration on the layout of exhibition and the shape of exhibition room from the view points of behavior of appreciation and other methodology. The results of this study are as follows : The exhibition content and structure of Seoul Museum of History formed by a story-line according to the theme of an each zone fixed sequence in an each exhibition that we are achieved. But the layout of exhibition and the shape of exhibition consist on the other hand of the freedom selection. So the problem appeared In the difference of the exhibition content and the layout of exhibition to the behavior of appreciation. It can be said that the concept of exhibition space should be taken into account and the spatial configuration by the completed floor plan in order to satisfy the planning concepts.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.179-184
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• 2005

Recently, studying on modeling the emotion of a robot has become issued among fields of a humanoid robot and an interaction of human and robot. Especially, modeling of the motivation, the emotion, the behavior, and so on, in the robot, is hard and need to make efforts to use our originality. In this paper, new modeling using mathematical formulations to represent the emotion and the behavior selection is proposed for the software robot with virtual sensor modules. Various Points which affect six emotional states such as happy or sad are formulated as simple exponential equations with various parameters. There are several experiments with seven external sensor inputs from virtual environment and human to evaluate this modeling.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.97-104
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• 2016

In this paper, we propose spatial information based simulator for user experience optimization and minimize real space complexity. We focus on developing simulator how to design virtual space model and to implement virtual character using real space data. Especially, we use expanded events-driven inference model for SVM based on machine learning. Our simulator is capable of feature selection by k-fold cross validation method for optimization of data learning. This strategy efficiently throughput of executing inference of user behavior feature by virtual space model. Thus, we aim to develop the user experience optimization system for people to facilitate mapping as the first step toward to daily life data inference. Methodologically, we focus on user behavior and space modeling for implement virtual space.

• Korean Journal of Health Education and Promotion
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• v.28 no.1
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• pp.57-67
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• 2011

Objectives: This study gathered basic information for the development of a health promotion policy for employees and the selection of participants for health education by identifying the impact of socioeconomic status and health behavior on the health status of males and females. Methods: The 2008 National Health Nutrition and Examination Survey data were used to examine relationships between socioeconomic status, health behaviors, and health status of male and female employees. For the analysis, the $X^2$ test and logistic regression were used. Results: Heath behaviors had a very slight impact of the association between socioeconomic status and health status among male and female employees. And patterns of health inequality had the gender difference. Conclusions: When developing a health promotion policy for employees, and selecting health education subjects, it is necessary to consider both socioeconomic status and gender.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.37-42
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• 2006

Recently, studying on modeling the emotion of a robot has become issued among fields of a humanoid robot and an interaction of human and robot. Especially, modeling of the motivation, the emotion, the behavior. and so on, in the robot, is hard and need to make efforts to use ow originality. In this paper, new modeling using mathematical formulations to represent the emotion and the behavior selection is proposed for the software robot with virtual sensor modules. Various points which affect six emotional states such as happy or sad are formulated as simple exponential equations with various parameters. There are several experiments with seven external sensor inputs from virtual environment and human to evaluate this modeling.

• Proceedings of the Safety Management and Science Conference
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• 2013.04a
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• pp.69-81
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• 2013

It can be said that nowadays, customers don't recognize that only good quality products as selection attribute regarding products quality can satisfy them. The case in service industries is also the same. Service quality is most affected by the criteria that customers themselves evaluate. Customers who are not satisfied with services provided institutions will disregard them. In consequence, this will affect their profitability. Collected questionnaires were analyzed using SPSS v.15 for the concrete proof analysis and the results are as follows. First, Service quality works as an important factors on customer's behavior. Second, Relationship quality serves as a mediated role between service quality and customer's behavior.

• Journal of the Korean Society of Food Culture
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• v.30 no.6
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• pp.804-812
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• 2015

A Study of Instant rice selected attributes of instant rice, the decrease in rice consumption is in fact been hailed as a stock and based on dietary lifestyle through prior research, attempting to validate whether the behavior between the related implications. The instant rice revitalization plan of conducting were developed further, consumers want instant rice and at the same time. Confirmed based on the selected attributes of instant rice according to consumer dietary lifestyle through this research to know could have instant rice selection attributes affect the degree of the action. Compare the differences of regional instant rice selected attributes gradually increasing area for future research, instant rice consumers surveyed Seoul, Gyeonggi-do area only residing in the limitations of this study, which, because you are studying in different regions.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.199-204
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• 2000

This study was conducted to investigate the thermoregulatory responses and wearing behavior of the cold-sensitive men when exposed to the mild cold of 14$^{\circ}C$. Two sessions of experiment were carried out and five healthy young men for the cold-sensitive group(CSG) and four healthy young for the cold-insensitive group(CIG) participated in the study as subjects CSG maintained rectal temperature lower than CIG due to their thicker clothing resulted in larger decrease of rectal temperature. CSG maintained skin temperatures higher than CIG. CSG felt cooler than CIG but wore thicker clothing for thermal comfort and this made keep their sensation warmer. These results were discussed in terms of autonomic and behavioral temperature regulation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.1-11
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• 2017

In this paper, we design and implement PADIL(Prediction And Detection of Information Leakage) system that predicts and detect information leakage behavior of insider by analyzing network traffic and applying a variety of machine learning methods. we defined the five-level information leakage model(Reconnaissance, Scanning, Access and Escalation, Exfiltration, Obfuscation) by referring to the cyber kill-chain model. In order to perform the machine learning for detecting information leakage, PADIL system extracts various features by analyzing the network traffic and extracts the behavioral features by comparing it with the personal profile information and extracts information leakage level features. We tested various machine learning methods and as a result, the DecisionTree algorithm showed excellent performance in information leakage detection and we showed that performance can be further improved by fine feature selection.

• Journal of Apiculture
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• v.32 no.4
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• pp.295-302
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• 2017

Avoidance behavior is an important life history strategy to survive hazardous environment. The experiment was conducted to detect the avoidance tendency of the honeybee Apis mellifera against commonly used pesticides in apple production. Choice test given only 50% sucrose solution and pesticide-mixed sucrose solution as food estimated the avoidance in laboratory. Most of the acaricides and fungicides tested were shown avoided. Among insecticides, honeybee showed strong avoidance to cyhexatine, carbosulfan and fenpyroximate but low to diflubenzuron, tebufenpyrad, and acrinathrin. Avoidance behavior to neonicotinoid insecticides showed bifurcated; highly avoided from thiacloprid, acetamiprid while less avoided from imidacloprid, thiamethoxam and dinotefuran. From the field study, abamectin, fenthion, amitraz and acequinocyl showed highly avoided while fungicide of fenarimol, acaricides of acrinathrin and phosphamidon, IGR insecticide of diflubenzuron, neonicotinoid insecticide of imidacloprid, and carbamate insecticide of carbaryl showed less avoidance in the field. These results partly explained high bee poisoning from carbaryl in apple flowering period, and neonicotinoids during season.