• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.635-643
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• 2011

The purpose of this study was to examine the effects of goal-setting on Eco-driving behaviors. An additional purpose was to examine whether setting goals on target behaviors has spread effects on non-target Eco-driving behaviors. Three office workers who drive regularly participated in this study. An AB multiple baseline design was adopted. After baseline (A), participants set goals on two or three target behaviors(e.g., over speeding, put the gears in neutral, extreme acceleration) (B). Results showed that goal-setting was effective in increasing the targeted Eco-driving behaviors. In Addition, most of the non-target Eco-driving behaviors(e.g., extreme break, extreme acceleration) increased.

• Journal of the Korean Society of Safety
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• v.26 no.6
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• pp.124-129
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• 2011

The purpose of this study was to examine the effects of goal-setting on Eco-driving behaviors. An additional purpose was to examine whether setting goals on target behaviors had spread effects on non-target eco-driving behaviors. Three office workers who drive regularly participated in this study. An AB multiple baseline design was adopted. After baseline (A), participants set goals on two or three target behaviors(e.g., over speeding, put the gears in neutral, extreme acceleration) (B). Results showed that goal-setting was effective in increasing the targeted eco-driving behaviors. In addition, most of the non-target eco-driving behaviors(e.g., extreme break, extreme acceleration) increased.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.868-871
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• 2009

We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly.

• Journal of Wetlands Research
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• v.16 no.3
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• pp.293-302
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• 2014

This study analyzed the influence relationship of community businesses' success factors and support factors on goals in 5 West Sea islands. As research methods, it conducted a survey with experts in academia and public institutions concerning them, and analyzed the effects of the success factors and support factors on their goals. As the methods of the analysis, a factorial analysis was carried out to assess the validity and the characteristics of the community businesses' success factors and support factors, and a one-way ANOVA was carried out to verify whether the difference in the mean of the experts' career is statistically significant. Lastly, a multiple regression analysis was conducted to analyze the effects of the success factors and support factors on the community businesses' goals.

• (The)Korea Educational Review
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• v.23 no.1
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• pp.113-138
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• 2017

Questions of why, what, and how represent the new perspective on goal construct. This paper proposed a novel approach toward the goal construct as a dynamic decision-making process. A number of researchers have agreed that goals initiate and sustain human motivation. In spite of the consistency in emphasis on goals, there are apparent inconsistencies in definitions of goal construct across theories and research. These inconsistences hinder interdisciplinary communication about goal construct, which in turn leads to jingle-jangle fallacy. Therefore, on the basis of systematic literature review, I defined the goal construct as a multifaceted and hierarchical decision-making process to structure desired end-states. The first process is generating goals, which can be also called "why" process. During this phase, individuals generate cognitive schema about general direction of desired end-states based on the conscious and nonconscious interpretation of subjective experience. The second process is goal setting, which can be called "what" process. Here, individuals clarify contents of multiple goals and structure hierarchy and priority of them. The last process is implementing goals, "how" process. This process contains decision making about whether he/she decides to implement the goal or not and how to execute goal-directed behaviors. In the last section of this paper, I tried to suggest several practical applications of this new perspective for adolescents, who struggle with why-what-how to have goals in learning context.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.53-57
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• 2007

Tsurumi River Basin successfully started to prepare a Water Master Plan though a series of discussions by gathering all stakeholders in a hall. It began with setting five management targets namely, flood, low flow, natural environment, emergency use, and recreational use, followed by setting management goals by target as well as a one-sentence catchphrase for the Water Master Plan using a bottom-up approach. The author reviews this process and discusses the background of the success.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.1
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• pp.39-46
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• 2006

We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and intelligent space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.1
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• pp.39-45
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• 2019

We propose an active color model based method for tracking motions of multiple human using a networked multiple-camera system in IoT space as a human-robot coexistent system. An IoT space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of IoT space as well. One of the main goals of IoT space is to assist humans and to do different services for them. In order to be capable of doing that, IoT space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and IoT space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in IoT space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2461-2466
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• 2003

This paper presents a simple sensor fusion algorithm using neural network for navigation of mobile robots with obstacle avoidance and trap recovery. The multiple sensors input sensor data to the input layer of neural network activating the input nodes. The multiple sensors used include optical encoders, ultrasonic sensors, infrared sensors, a magnetic compass sensor, and GPS sensors. The proposed sensor fusion algorithm is combined with the VFH(Vector Field Histogram) algorithm for obstacle avoidance and AGPM(Adaptive Goal Perturbation Method) which sets adaptive virtual goals to escape trap situations. The experiment results show that the proposed low-level fusion algorithm is effective for real-time navigation of mobile robot.

• Journal of the Korean Society of Costume
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• v.52 no.5
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• pp.187-196
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• 2002

The purpose of this study was to clarify differences in their perceptions in relation to clothing quality and service quality of internet shopping mall according to classified consumer groups by clothing involvement. The 248 questionnaires were collected from female and male students of university who experienced browsing at the website for clothing shopping. Using SPSS Win package, Cronbach's $\alpha$, frequency. percentage, factor analysis, cluster analysis, ANOVA, SNK multiple range test and multiple regression analysis were performed. The results could be summarized as follows. First. the dimension of clothing involvement divided consumers into three different groups: fashion/importance group, pleasure group and symbol group. Second, the significant differences among the classified clothing involvement groups were found in the perceptions in relation to clothing product quality and service quality of internet shopping mall. Third. pleasure and symbol of clothing involvement, physical attributes and expressive goals of clothing quality, and product assortment and promotion of service quality in the internet shopping mall had an effect on the purchase intend of internet shopping mall.