• Journal of Korean Institute of Industrial Engineers
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• v.33 no.4
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• pp.402-409
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• 2007

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.

• Culinary science and hospitality research
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• v.10 no.3
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• pp.119-134
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• 2004

Now days, the life style of people is getting more scientific and more specialized, so food habit as well as food culture are a measure of cultural level of a country. Studies on consumer behavioral model show that food habit is closely related to consumer preference due to changing life pattern and increasing family income. Therefore, The definition of the impact of menu characteristics on customer menu selection is the object of this study. For that purpose, some attempts are made: First, discuss the theories on Korean food and customer purchasing behavior as a standard of analysis. Second, find out if there are any differences in customer menu-selection factors for Korean restaurantin in a hotel. Third, make an empirical analysis of menu-selection factors for Korean in a hotel to suggest which direction it should go forward. Fourth, analyze the relationship between demographic characteristics and menu-selection factors.

• Journal of KIISE
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• v.42 no.3
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• pp.320-327
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• 2015

Although service robots in various fields are being commercialized, most of them have problems that depend on explicit commands by users and have difficulty to generate robust reactions of the robot in the unstable condition using insufficient sensor data. To solve these problems, we modeled mirror neuron and theory of mind systems, and applied them to a robot agent to show the usefulness. In order to implement quick and intuitive response of the mirror neuron, the proposed intention-response model utilized behavior selection networks considering external stimuli and a goal, and in order to perform reactions based on the long-term action plan of theory of mind system, we planned behaviors of the sub-goal unit using a hierarchical task network planning, and controled behavior selection network modules. Experiments with various scenarios revealed that appropriate reactions were generated according to external stimuli.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.263-270
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• 2020

This study was conducted to identify the effects of major selection motivation and occupational values on employment preparation behavior for paramedic students', and to provide basic data for improving employment preparation behavior based on the results. After receiving the consent to participate in the research from November 4 to 8, 2019, a self-written questionnaire was conducted for 3rd and 4 year university paramedic students' located in D Metropolitan City and J Province. Among the collected data, 341 parts, except for the 9 parts with insufficient response, were finally analyzed with SPSS ver. 12.0 (Window). Results, personal motivation of major selection motivation, intrinsic work values of occupational values, and extrinsic work values were influenced in order to employment preparation behavior.Therefore, it is considered that it is necessary to open a vocational value course in individual and group counseling and regular or non-regular curriculum considering the characteristics of gender and grade, major selection motivation, and occupational oalues.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.5
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• pp.41-50
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• 2019

In this study, we analyzed the process of the housing reflecting the self, based on the qualitative data that people describe their thoughts about their housing in social media 'online-housewarming'. Especially, based on the precedent study that modern self is established on continuous selection behavior, we focused on the selection behavior of the self and the role of the housing that affected it through the narrative. Each narrative component corresponds to the self-establishment process of modern people, identified through precedent study. We can confirm the existing internal criteria changing into new internal criteria through accumulation, interaction and nonverbal communication of selection by housing. Housing has been involved in the selection behavior of self throughout the narrative. From this, it can be seen that the thought of the self and housing are identified in three ways. In 'Online-Housewarming', (1) Housing equates with the self, in the sense that housing is a physical entity in which one's own choices are accumulated (2) People perceive the change of choice caused by the realistic constraints of housing as their interaction with housing. (3) People relate the opinions of others about housing with the opinions about their own self. In contemporary society, house reforming process is a process of mediating the self and the external world based on the selection behavior and affects the establishment of self.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.127-130
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• 1998

In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• Journal of the Korean Society of Costume
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• v.21
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• pp.219-226
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• 1993

The main purpose of this study is to inves-tigate brand loyalty on ready-to-wear of fe-male. The subjects were two hundred ninty females in Taegu. Using SPSS package in or-der to identify relations of clothing selection behavior and information source uses multivariate analysis of variance(MANPVA) univariate analysis of variance(ANOVA) were executed. Scheffe est a kind of post-hoc multiple comparisons methods was adapted. conclusions reached in this study are as follows: 1. Clothing purchase pattern of consumers classified brand loyal group and brand dis-loyal group. The number of people in the brand loyal group was fifty more than that of the brand disloyal group. 2. In relation of brand loyalty and clothing selection behavior brand loyal group had high scores on individuality and exhibition of clothing selection behavior. Brand dis-loyal group had high scors on economy practicality courtesy facility. 3. In difference of information uses on brand loyalty brand loyal group had high scores on printed-information source, broadcast-ing-information source broadcast-ing-information sources. Among them brand loyal group particularly used printed-infor-mation source more than brocasting infor-mation source. On the contray brand dis-loyal group have high scores on human-in-formation source.

• Asia pacific journal of information systems
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• v.29 no.2
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• pp.248-267
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• 2019

As merging online and offline channels into one single platform, individuals could easily and frequently switch between online and offline channels. In order for understanding such unique behaviors, this study attempts to explore why and how consumers choose their channels to search and purchase a product. We have drawn on multiple theories that have been used to explain individuals' judgment and decision making (i.e., construal level theory and regula-tory focus theory) in order to develop and tested two-way ANOVA based models of how both regulatory focus (e.g., promotion vs. prevention) and product types (e.g., experience goods vs. searching goods) including the psychological distance cue separately and jointly affect individuals' channel selection behavior (e.g., intention to use single channel vs. intention to use cross-channels). Our results have indicated that consumers with promotion-focus are more likely to use a single channel in experience goods rather than in searching goods when there exists the psychological cue. Based on our findings, the implication for both research and practice are discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.391-394
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• 2004

Change of paradigm of network attack technique was begun by fast extension of the latest Internet and new attack form is appearing. But, Most intrusion detection systems detect informed attack type because is doing based on misuse detection, and active correspondence is difficult in new attack. Therefore, to heighten detection rate for new attack pattern, visibilitys to apply human immunity mechanism are appearing. In this paper, we create self-file from normal behavior profile about network packet and embody self recognition algorithm to use self-nonself discrimination in the human immune system to detect anomaly behavior. Sense change because monitors self-file creating anomaly detector based on Negative Selection Algorithm that is self recognition algorithm's one and detects anomaly behavior. And we achieve simulation to use DARPA Network Dataset and verify effectiveness of algorithm through the anomaly detection rate.

• Culinary science and hospitality research
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• v.8 no.1
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• pp.149-170
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• 2002

As the life style of modern people is gradually being more scientific, up-to-date, and specialized, food habit and food cut lure are a measure of cultural level of a country. Studies on consumer behavioral model show that food habit is closely related to consumer preference, changing life pattern and increasing family income. The purpose of this study was, accordingly, to define the impact of menu characteristics on customer menu selection. For that purpose, some at tempts were made: First, discuss the theories on family restaurant and customer purchasing behavior as a standard of analysis. Second, find out if there are any differences in customer menu- selection factors in family restaurant Third, make an empirical analysis of menu-selection factors in family restaurant to suggest in which direction it should move forward Fourth, analyze the relationship of demographic characteristics to menu-select ion factors.