• Journal of Korea Multimedia Society
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• v.23 no.12
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• pp.1540-1551
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• 2020

Aiming at the problem that the existing human behavior recognition algorithm cannot fully utilize the multi-level spatio-temporal information of the network, a human behavior recognition algorithm based on a dense three-dimensional residual network is proposed. First, the proposed algorithm uses a dense block of three-dimensional residuals as the basic module of the network. The module extracts the hierarchical features of human behavior through densely connected convolutional layers; Secondly, the local feature aggregation adaptive method is used to learn the local dense features of human behavior; Then, the residual connection module is applied to promote the flow of feature information and reduced the difficulty of training; Finally, the multi-layer local feature extraction of the network is realized by cascading multiple three-dimensional residual dense blocks, and use the global feature aggregation adaptive method to learn the features of all network layers to realize human behavior recognition. A large number of experimental results on benchmark datasets KTH show that the recognition rate (top-l accuracy) of the proposed algorithm reaches 93.52%. Compared with the three-dimensional convolutional neural network (C3D) algorithm, it has improved by 3.93 percentage points. The proposed algorithm framework has good robustness and transfer learning ability, and can effectively handle a variety of video behavior recognition tasks.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.111-114
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• 1995

As modern industrial technologies progress, critical incidents (both conventional and new) occur as well. Although majority of these safety incidents are human-related, or human factors problems, industrial systems and/or occupational safety operations are often designed without seriously considering important roles of human factors in industrial safety. The purpose of this paper is to show how a human factors approach can contribute to industrial safety. The paper introduces a systems safety concept with some useful analysis techniques for proactively preventing human-related safety problems. A behavior-based safety analysis approach to modify hyman behavior is suggested to reduce unsafe behavior and promote safe behavior. Finally, a sound human factors/ergonomics program is recommended for management to establish a hazard-free work environment. Some current and future research issues are discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.13 no.22
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• pp.71-78
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• 1990

Some problems to assess the safety of automated man-machine system are studied in many ways. The difficulty occurred in this system is the vagueness of human behavior. Fuzzy set theory is used to assess the human behavior in safety analysis. The unsafe behavior listed top 10 in accident statistics would be explained as the factors of human vagueness. Three cases are considered, which consist of man-machine system as man-man, man-machine, machine-machine types. For the design of safe task, using characteristics of work performance, each motion cycle time is required to know the rate of learning. Approach of human behavior to the standard motion means more safe motion. It is important to design the works as to minimize the time performance to the standard motion's, which utilize the control of risk potential with easy. In that process, use of fuzzy set theory is appropriate to analyze the human behavior to identify its vagueness.

• Journal of Navigation and Port Research
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• v.31 no.4
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• pp.281-287
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• 2007

Human factors have been considered the primary reason of marine accidents. Especially, the collision between vessels is mostly mused by human behavior. However, there have not been many researches to clarify the reason of marine accidents mused by human factors quantitatively. In order to understand human factors and to enhance safe navigation systematically, using a full mission ship-handling simulator, we've investigated the characteristics of avoiding behavior taken by mariners. Further in order to apply the characteristics more widely and effectively, it's necessary to formulate the standard behavior for ship-handling in the condition of collision avoidance. Is this study, therefore, we intended to propose the concept to model the mariner's standard behavior on the handling of collision avoidance as the first step. As a result, we confirmed the contents of information processing in ship-handling that mariner's generally taking to avoid collision.

• Management & Information Systems Review
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• v.4
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• pp.201-224
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• 2000

Since Organ(1977) published a paper on the importance of organizational citizenship behavior, studies of organizational citizenship behavior have increased continuously. An exploratory study on the application strategy of organizational citizenship behavior for human resource management is very scarce. Many organizational researchers so far, have focused on investigating in-job behavior. Yet, from a decade, organizational researchers have recognized that in-job behavior alone can not explain sufficiently job performance or organizational effectiveness. Thus, they have paid attention to extra-job behavior, which is generally called as organizational citizenship behavior. Focusing on the importance of human resource management in organizational citizenship behavior, this paper is to examine an exploratory study on the application strategy of organizational citizenship behavior.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.3
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• pp.79-88
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• 2003

So many patterns of the clothing give the specific indication for one's clothing behavior and present the common style for the society. Human being gives the one's free expression and attempts to change the existing cultural environment by the clothing even though human being would be restricted in choosing the clothing within the category of the society & the culture. The value of human being which attempts to escape the restriction through the behavior theory of T. Parsons is analysed and studied. The role of the modern society is being transformed and human being attempts to express one's self through the clothing very strongly. The clothing behavior means the expression of oneself for others. This phenomenon comes from the changing of human being's view of value through the social & cultural environment which give human being the freedom of the individual to choose the various clothing.

• Korean Journal of Human Ecology
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• v.20 no.6
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• pp.1135-1151
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• 2011

This study examined green consumption behavior according to the lifestyles of college students. The data were collected from 314 college students in Yeungnam region by a self-administered questionnaire. Frequencies, Cronbach's alpha, factor analysis, cluster analysis, chi-square tests, one-way analysis of variance, Duncan's multiple range tests, Pearson's correlation analysis, and multiple regression analyses were conducted by SPSS Windows V.18.0. According to the result of factor analysis, lifestyles were categorized into six factors: thrift-saving type, enthusiastic activity type, brand ostentation type, freedom-seeking type, material oriented type, and practice-seeking type. Cluster analysis showed respondents belonged to one of four groups: thrift practice group, indifference group, freedom-seeking group, and material ostentation group. The levels of green purchase behavior, green usage behavior and green disposal behavior of the respondents was not high. The thrift practice group showed higher levels of green purchase behavior, green usage behavior, and green disposal behavior. Finally, according to multiple regression analyses, environmental consciousness, knowledge about green consumption, lifestyle groups were the significant factors affecting green consumption behaviors. These results imply that green consumption education for college students should be activated to induce green life.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.905-915
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• 2021

This study examines the relationship between financial behavior, financial literacy, self-efficacy, and self-coping among emerging adults. The study population is 790 respondents from 11 Credit Counselling and Debt Management (CCDM). Statistical Package for Social Science (SPSS) was used to analyze Pearson Correlation and Multiple regression. It was used to determine the relationships and recognize determinants of emerging adults' financial behavior respectively. In this study, financial literacy, self-efficacy, self-coping, and financial behavior variables were entered into the regression. A total of 790 respondents aged 40 and below were selected. An independent sample t-test was administered to compare the financial behavior scores for females and males. The results reveal that there was significant difference in the mean of financial behavior scores for females (M = 87.20, SD = 18.00) and males (M = 89.70, SD = 16.80; t (765) = 2.010, p = 0.045, two-tailed). The multiple regression results indicate that the model explained 13.4% of the variance in financial behavior, which is predicted significantly by the model (F = 38.361, p = 0.000). This study will be beneficial to policymakers to improve living conditions and to promote good financial behavior, financial literacy, self-efficacy as well as self-coping especially for emerging adults in Malaysia.

• Korea Journal of Hospital Management
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• v.16 no.2
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• pp.53-77
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• 2011

This study is focused on analyzing whether strategic human resource management practices influence organizational effectiveness such as organizational citizenship behavior and customer orientation. In addition, it also aims to analyze the mediating effect of perceived organizational support between strategic human resource management practices and organizational citizenship behavior and customer orientation. The samples are from five Veterans Hospital and of 344 questionnaires collected, 311 were used in the final analysis. SPSS(18.0) and AMOS(16.0) were employed to describe data and test hypotheses. The findings are as follows: First of all, it is found that education and training and hiring management have positive effects on perceived organizational support while only education and training has a positive effect on organizational citizenship behavior. Secondly, results reveal that career management and hiring management influences customer orientation while only perceived organizational support does organizational citizenship behavior and customer orientation affects organizational citizenship behavior. Thirdly, it is also found that perceived organizational support mediates the relationship between career management and organizational citizenship behavior and that between hiring management and organizational citizenship behavior. In other words, perceived organizational support is a full mediator between career management and organizational citizenship behavior and between hiring management and organizational citizenship behavior because there is no direct effect of career management and hiring management on organizational citizenship. However, results show that any perceived organizational support doesn't mediate the relationship between all strategic human resource management practices and customer orientation.

• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.50-59
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• 2006

This paper proposes an automatic video monitoring system and its application to emergency detection by analyzing human behavior using neural network. The object area is identified by subtracting the statistically constructed background image from the input image. The identified object area then is transformed to the feature vector. Neural network has been adapted for analyzing the human behavior using the feature vector, and is designed to classify the behavior in rather simple numerical calculation. The system proposed in this paper is able to classify the three human behavior: stand, faint, and squat. Experiment results shows that the proposed algorithm is very efficient and useful in detecting the emergency situation.