• Journal of KIISE
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• v.43 no.11
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• pp.1281-1297
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• 2016

In recent years, personal videos have seen a tremendous growth due to the substantial increase in the use of smart devices and networking services in which users create and share video content easily without many restrictions. However, taking both into account would significantly improve event detection performance because videos generally have multiple modalities and the frame data in video varies at different time points. This paper proposes an event detection method. In this method, high-level features are first extracted from multiple modalities in the videos, and the features are rearranged according to time sequence. Then the association of the modalities is learned by means of DNN to produce a personal video event detector. In our proposed method, audio and image data are first synchronized and then extracted. Then, the result is input into GoogLeNet as well as Multi-Layer Perceptron (MLP) to extract high-level features. The results are then re-arranged in time sequence, and every video is processed to extract one feature each for training by means of DNN.

• Journal of the Korean association of regional geographers
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• v.15 no.2
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• pp.250-260
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• 2009

The purpose of the research is to investigate the possibility of the tourism resources development preference of sport leisure event activity of participation as one use MDS and clustering market character. An empirical research has been undertaken the questionnaire had be distributed to the whole country inline marathon races participation and there were 330 responses. The research was conducted by using statistical packages of SPSS program. As research methods factor analysis and cluster analysis were also employed. Three distinct cluster groups were categorized by their characteristics: 'money acquirement participation', 'self realization moderators', 'self realization enthusiasts', and there was differences among segmented groups in terms of their affecting factors to the tourism resources development preference. These findings suggested that there were need to tourism resources development for different segmented groups of sports leisure event activity selection attributes and each group pursued different satisfaction.

• Journal of the Korean Society of Safety
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• v.31 no.4
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• pp.90-96
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• 2016

This study proposes a dynamic reliability analysis of control system as a method of quantitative evaluation of its performance in probabilistic terms. In this dynamic reliability analysis, the failure event is defined as an event that the dynamic response of the structural system exceeds a displacement limit, whereas the conventional reliability analysis method has limitations that do not properly assess the actual time history response of the structure subjected to dynamic loads, such as earthquakes and high winds, by taking the static response into account in the failure event. In this first paper, we discuss the control effect of the viscous damper on the seismic performance of the member-level failure where the failure event of the structural member consists of the union set of time-sequential member failures during the earthquake excitations and the failure probability of the earthquake-excited structural member is computed using system reliability approach to consider the statistical dependence of member failures between the subsequent time points. Numerical results demonstrate that the proposed approach can present a reliable assessment of the control performance of the viscous damper system in comparison with MCS method. The most important advantage of the proposed approach can provide us more accurate estimate of failure probability of the structural control system by using the actual time-history responses obtained by dynamic response analysis.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.15-28
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• 2009

The purpose of this study is to examine customer behavior when choosing event menu at the banquet restaurant of a five-star hotel and analyze the factors of choosing the menu and its customer satisfaction. Based on the results of this study, it is possible for hotel mangers to develop good banquet event menu choices and use them when changing menu. This study adopts the Enter Method, and "t" defines 3 variables such as physiological intent, quality of food, and reasonable price. However, the other factors such as sensory images of food, contents of menu, promotion menu, cleanliness and services prove not to be important variables in this study. Among most important 3 variables, quality of food with the highest figure($\beta$ .416) is the most important variable to customer satisfaction followed by physiological intent ($\beta$ .283) and resonable price($\beta$ .134).

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.99-110
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• 2010

An event means a flow which has a time attribute such as a symptom of patient. Stream data collected by sensors can be summarized as an interval event which has a time interval between the start-time point and the end-time point in multiple stream data environment. Most of temporal mining techniques have considered only the frequent events. However, these approaches may ignore the infrequent event even if it is important. In this paper, we propose a new temporal data mining that can find association rules for the significant temporal relation based on interval events in multidimensional stream data environment. Our method considers the weight of events and stream data on the sensing time point of abnormal events. And we can discover association rules on the significant temporal relation regardless of the occurrence frequency of events. The experimental analysis has shown that our method provide more useful knowledge than other conventional methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.8
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• pp.1750-1755
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• 2011

Recently, it is possible for users to acquire necessary data easily as the various schemes of the searching information are developed. Since these data rise continuously like stream data, it is required to extract the appropriate data for the user's needs from the mass data on the internet. In the traditional scheme, they are acquired by processing the user queries after the occurred data are stored at a database. However, it is inefficient to process the user queries over the large volume of continuous data by using the traditional scheme. In this paper, we propose the Event-Profile Model to define the data occurrence on the internet as the events and the user's requirements as the profiles. We also propose and implement the filtering scheme to process the events and the profiles efficiently. We evaluate the performance of the proposed scheme and our experiments show that the new scheme outperforms the other on various dataset.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.1B
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• pp.71-79
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• 2011

This paper proposes a compiled-code simulator generation system based-on machine description language for efficient design space exploration in designing an embedded system optimized for a specific application. The proposed system generates a compiled-code simulator which maintains the functional accuracy of an event-driven simulator by determining instruction fetch and decoding processes statically. Generated simulator takes instruction-level and cycle-level simulation for estimating performances in embedded core. To show the efficiency of the constructed compiled-code simulator generator, architecture exploration had been performed for the JPEG encoder application. Starting with MIPS R3000 processor for one embedded core, the proposed system can produce the core showing optimized execution time for the application programming. In this process, a huge amount of simulation time has been used. Cycle-level compiled-code simulator has the functional accuracy and shows performance improvement by 21.7% in terms of simulation speed on the average when compared with an event-driven simulator.

• Journal of Families and Better Life
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• v.21 no.3
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• pp.133-146
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• 2003

The purpose of this study was to analyze the need for family life welfare service program, and to develope the program for managing in the Community Centers. The survey was conducted by interviewing 356 users and 360 non-users of Community Center, total 716 persons living in Daegu City, from October 8 to October 30 in 2002. The data were analyzed by the SPSS PC+ program applying t-test and ANOVA. The results were as follows : First, overall the needs for family life welfare service program, consisting of education program, facilities management and counseling program, and event program, was higher than 3.7 points. The needs level for event program was a little higher than other two programs. Second, the level of needs for family life welfare service program differed between user group and non-user group of the Community Centers. Third, the level of needs for family life welfare service program varied according to the demographic variables, such as sex, age, marital status, family life cycle, education level, vocation, monthly average income and housing type. Finally, Based on the results of needs analysis, 11 education programs, 4 facilities management and counseling programs and 5 event programs were developed for family life welfare service program. These programs developed in this study could be applied to diverse groups classified by age, social class, family life cycle of citizens. Also the programs should be applied in terms of family unit, as well as individual base to enhance the function of family life.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.61-69
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• 2008

In order to evaluate the performance of priority queues for future event list in discrete-event simulations, models representing patterns of enqueue and dequeue processes are required. The time complexities of diverse priority queue implementations can be compared using the performance models. This study aims at developing such performance models especially under the environment that a developed simulation model is used repeatedly for a long period. The developed performance model is based on multi-stage Markov process models; probabilistic patterns of enqueue and dequeue are considered by incorporating non-homogeneous transition probability. All necessary parameters in this performance model would be estimated by analyzing a results obtained by executing the simulation model. A case study with a war game simulation model shows how the parameters defined in muti-stage Markov process models are estimated.

• Korean Journal of Psychosomatic Medicine
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• v.5 no.1
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• pp.97-107
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• 1997

As a preliminary step to develop the Daily stress Inventory(DSI) for assessing minor stressors frequently experienced in everyday lift. We examined the reliability and validity of the DSI. The Daily Stress Inventory(DSI), the Beck Depression Inventory(BDI), the State-Trait Anxiety Inventory(STAI), the Social Readjustment Rating Scale(SRRS) and the Minnesota Multiphasic Personality Inventory(MMPI) were administered to 111 college students. Compared with the weekly DSI Event, Impact and I/E ratio scores of the American college students, the weekly event and I/E ratio scores of the Korean college students were significantly higher but weekly Impact score was lower. The internal consistency reliability of the DSI as computed by Cronbach alpha was .98. The DSI I/E ratio scores were significantly correlated with the scores of State Anxiety$({\gamma}=.27)$ and Trait Anxiety${\gamma}=.24)$, but not with BDI scores. And the SSRS scores were not significantly correlated to the DSI Event or Impact and In ratio scores. Significant correlations were revealed between the DSI Impact scores and the Sc and Ma scales of the MMPI. And the correlation between the DSI I/E ratio scores and the L, D, Hy, Pd and Pa scales of the MMPI was also significant. But no significant correlation was found between the DSI Event scores and all the scales of the MMPI. This study suggests that the DSI can be a reliable and valid tool to assess the minor stress frequently experienced in everyday life future study should be directed to obtain normative data based on more varied and larger population. Especially gathering additional evidences for the validity of the DSI using other minor stressor scale will be required.