• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3197-3206
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• 2011

The objective of this study is to provide the guide for producing data for effective analysis of weapons systems and munitions. Therefore, the prototype from the study of creating the effectiveness data of surface to surface Artillery system under different battle environments was developed in this paper. For this purpose, mathmatical method which is in use of calculating Lethal Area and EFC(Expected Fractional Casualty) is analyzed and applied to the prototype for generating effectiveness data of surface to surface Artillery system. To validate the suggested prototype, we did the following actions: we select the source data corresponding to JMEM(Joint Munition Effectiveness Manuals) data and apply our prototype to the source data, and then match the results to check validity.

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.170-178
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• 2014

Until now, several research on the relationship of traffic crash occurrences and geometric had been conducted and revealed that projects of road alignment, geometric improvement and hazardous segment selection reduced the number of accidents and accident severities. However, such variables did not consider the non-homogeneous characteristics of roadway segments due to the difficulty of data collection, which results in under-estimation of the standard error affecting the overall modeling goodness-of-fit. This study highlights the importance of non-homogeneity by looking at the effect of the non-homogeneous geometric variables through the modeling process. The model delivers meaningful results when using some geometric variables without relevant geometrics' variables.

• Journal of KIISE:Software and Applications
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• v.32 no.4
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• pp.327-334
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• 2005

Recently, ICT has emerged as an indispensable tool for teaching a variety of subjects in education systems. In this paper, we examine the effect of the instructional models for ICT on the practical ability in the application of information with relation to the levels of self-regulated learning strategies. Students were divided into 3 groups, according to the instructional model for ICT which were problem search learning, problem solution learning, and discussion learning. As an experimental tools, we did pretest using self-regulated learning strategies measurement questionnaire and did pretest and posttest using practical ability in the application of information measurement questionnaire. The results show that higher level of self-regulated teaming strategies group has high practical ability in the application of information than lower level group. Other interesting results are also provided.

• Korean Journal of Adult Nursing
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• v.13 no.2
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• pp.277-290
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• 2001

This study was conducted to examine if the revised HPM was appropriate to explain smoking quitting behavior. A convenience sample of 400 college students enrolled in the universities located in Seoul and Kyunggi-Inchon province was selected. According to the study results, smoking-specific cognitions and affect included in the study could significantly explain commitment to a plan to quit smoking which was one of the behavioral outcomes in the revised HPM. The study result showed that among predictors, smoking-related affect, perceived benefit of quitting smoking, and perceived self-efficacy significantly explained commitment to a plan to quit smoking, but perceived barriers and interpersonal influences did not. The model for smoking quitting behavior formulated with smoking-specific cognitions and affect was statistically significant and the model explained 48 percent of variance in smoking quitting behavior. More specifically, it was shown that among smoking-specific cognitions and affect, only smoking-related affect, interpersonal influences, and perceived self-efficacy were the significant predictors to explain smoking quitting behavior. Smoking-related affect was the most important variable to explain smoking quitting behavior, followed by perceived self-efficacy. However, the influence of commitment to a plan to quit smoking on smoking quitting behavior was not statistically significant. Lastly, the model for smoking quitting behavior formulated with individual characteristics and experiences could explain 13 percent of the variance in behavior to quit smoking. Although the model is statistically significant, only the number of quitting attempts had significant and direct influence on behavior to quit smoking, while the remaining variables did not.

• Journal of Technology Innovation
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• v.23 no.2
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• pp.55-80
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• 2015

This Study's topic is to study on the effects of core competencies as such as leadership, strategic competences' influence towards the university-industry cooperation on technology transfer and education performances. First, the existing studies and literatures have been reviewed. Second, the nationwide surveys were conducted. In results, the leadership competence did not have any impact on the operation performances. Strategic competence did not have any impact on the technology transfer, but it influenced the education performance. Human resource competence also did not have any influence on the managing performances, but it has been analyzed that the R&D competence had an influence over the technology transfer part of the managing performance. The University-Industry Cooperations create an opportunity and secures competencies for the enterprise, it also enhances the R&D competency of University and provides supports in nurturing the human resources. Especially, the strategic competency amongst the independent variables has influenced the education performance.

• Exercise Science
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• v.21 no.2
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• pp.231-242
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• 2012

The purpose of this study was to develop the prediction model of VO₂max using submaximal metabolic responses from the Bruce protocol, HR responses at several stages and 1,200 m running record, and to compare and analyse the validity of these prediction models. The subjects were consisted of 255 male(133 male for 1,200 m running). They were participated maximal exercise testing with Bruce protocol, and the metabolic responses were measured in the end of the first(3 minute), second stage(6 minute), and 1,200 m running record. Measurement items were VO₂(㎖/kg/min), VCO₂(㎖/kg/min), VE(L/min), HR(bpm) of 3 and 6 minute, time to HR 150 bpm and 170 bpm, HR difference between Bruce protocol 6 and 3 minute, 1,200 m running record. Analyzing with all variables using enter method, the multiple R of total variable model was 0.642(p<.01), SEE was 4.38 ㎖/kg/min, CV was 10.8 %, but multicolinearity was appeared. The multiple R of 3 minutes model 1 and model 2 were 0.341 and 0.461, SEE was 6.05 and 5.72 ㎖/kg/min, CV was 14.9 and 14.1%, and multicolinearity did not appeared. The multiple R of 6 minutes model 1 and model 2 were 0.350 and 0.456, SEE was 6.03 and 5.74 ㎖/kg/min, CV was 14.9 and 14.2%, and multicolinearity did not appeared. The R of HR 170 and HR 170 model were 0.151 and 0.154, SEE were 6.36~6.37 ㎖/kg/min, CV were 15.7%. The R of 1,200 m running model was 0.444, SEE was 4.82 ㎖/kg/min, CV were 11.9%. In conclusion, with considering usefulness and convenience through the validity of these prediction models, the prediction model of VO₂max recommended 6 and 3 minute model, and the validity of HR model and 1,200 m running model were moderately low.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.89-102
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• 2006

The purpose of this paper is to develop a dynamic OD estimating model to overcome the limitation of depicting teal situations in dynamic simulation models based on static OD trip. To estimate dynamic OD matrix we used the hybrid discrete choice model(called the 'Demand Simulation Model'), which combines travel departure time with travel mode and travel path. Using this Demand Simulation Model, we deduced that the traveler chooses the departure time and mode simultaneously, and then choose his/her travel path over the given situation In this paper. we developed a hybrid simulation model by joining a demand simulation model and the supply simulation model (called LiCROSIM-P) which was Previously developed. We simulated the hybrid simulation model for dependent/independent networks which have two origins and one destination. The simulation results showed that AGtt(Average gap expected travel time and simulated travel time) did not converge, but average schedule delay gap converged to a stable state in transportation network consisted of multiple origins and destinations, multiple paths, freeways and some intersections controlled by signal. We present that the hybrid simulation model can estimate dynamic OD and analyze the effectiveness by changing the attributes or the traveler and networks. Thus, the hybrid simulation model can analyze the effectiveness that reflects changing departure times, travel modes and travel paths by demand management Policy, changing network facilities, traffic information supplies. and so on.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.687-692
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• 2004

In this paper, we proposed an efficient cache hoarding method in mobile computing environments using collaborative filtering. This method is used for solving the difficult problem of mobile computing, which is the vacuum of information service depending on low bandwidth, long delay, and frequent network disconnection. Many previous researches have been studied a cache hoarding approach for solving these problems of mobile client. But, the research of history information of mobile client did not support all informative requests for mobile clients. In our research, collaborative filtering model using history information and location data of mobile client is proposed. This proposed model supports an efficient service of necessary items for client's requirement. For the performance evaluation of proposed model, we make an experiment of simulation data using SAS enterprise miner. According to objective evaluation using cache hit ratio, we show that our model has a good result.

• Archives of design research
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• v.15 no.1
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• pp.407-414
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• 2002

Human does information processing more efficiently using mental model at his understanding process. if We know what mental model is, we will know how to percept that. Similarly is it used visual mental model to percept visual object\ulcorner If it is true, we will analysis how man to understand. In this research, we have one experimentation to timid out that is true. So we did experimentation to know how man to understand new products by visual mental model. So we use 2700cc car's side view as stimuli. To A Subjects, we give them to see re\ulcorner size view before 120% ratio. To B Subject, we give them to see 120% ratio. After a experimentation, It is true that we make hypothesis that A Subjects percept this stimuli too long then B Subjects. Accordingly it proves human to use visual mental model to percept visual object. The result of experimentation, a testee use preliminary stimulus as basis of evaluation. It means that he use mental model as basis of evaluation of main stimulus. Accordingly development of new design can afford more strategic approach. Industrial designer who want to strategic approach can forced on high-weighted form attribute as consumer gives.

• Journal of Korean Society of Transportation
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• v.21 no.3
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• pp.121-134
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• 2003

Forecasting models for crosswalk pedestrian volume, which consider safety of crosswalks and good traffic operation accidents, have been established in order to reduce total number of crosswalk pedestrian accidents. However, the existing models did not include pedestrian volume which seemed to be very significant in the forecasting models because there were no pedestrian volume related data and no methods of estimating pedestrian volume. This paper presents estimating models for the total number of trips, which are produced in zone i and attracted to zone j, and a process of estimating pedestrian volume in the goal year. First of all, the estimating models included the characteristics of land-use around a signalized intersection and the crosswalk pedestrian volume as factors. Secondly, the estimated crosswalk pedestrian volume was distributed to the crosswalk pedestrian volume each path in the basic year by friction factors of Gravity Model, adjustment factors for area and ratio of pedestrian volume who moved diagonally at the crosswalk. Thirdly, the estimating models of crosswalk pedestrian volume in the goal year were presented by using the distributed crosswalk pedestrian volume.