• Journal of Korean Society of Transportation
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• v.23 no.6 s.84
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• pp.103-113
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• 2005

A pedestrian accident is generally less fully understood than the 'typical' car-to-car collision. For this reason, the analysis of the pedestrian accident is, in many respects, more complicated and demanding. The purpose of this study is to identify clearly the impact point that is the main subject of struggle in pedestrian accidents. In order to develop the model, it is very significant to classify actual accident data including impact velocity. vehicle damage and injury scale of pedestrian. These data were collected from three local branches of RTSA(Road Traffic Safely Authority). The number of collected data were 34 cases and 61.7% of them were fatal accidents. In consequence of analyzing the data by statistical method, it revealed that there is correlation between impact velocity and throw distance. It, also shows that the impact velocity has strong linear correlation to vehicle damage and injury scale. Consequently, reconstruction analysis models of pedestrian accidents considering in local circumstances(such as the physical characteristics of pedestrians and vehicles) was developed However. it is difficult to apply the result of this study to all sorts of pedestrian accidents, because the actual accident data which were used to develop the model were limited. To overcome this limitation, it is necessary to develop an analysis model applicable to diverse circumstances with a wide range of pedestrian accident data on a national basis.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.162-177
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• 2020

The perception of traffic environment based on various sensors in autonomous driving system has a direct relationship with driving safety. Recently, as the perception model based on deep neural network is used due to the development of machine learning/in-depth neural network technology, a the perception model training and high quality of a training dataset are required. However, there are several realistic difficulties to collect data on all situations that may occur in self-driving. The performance of the perception model may be deteriorated due to the difference between the overseas and domestic traffic environments, and data on bad weather where the sensors can not operate normally can not guarantee the qualitative part. Therefore, it is necessary to build a virtual road environment in the simulator rather than the actual road to collect the traning data. In this paper, a training dataset collection process is suggested by diversifying the weather, illumination, sensor position, type and counts of vehicles in the simulator environment that simulates the domestic road situation according to the domestic situation. In order to achieve better performance, the authors changed the domain of image to be closer to due diligence and diversified. And the performance evaluation was conducted on the test data collected in the actual road environment, and the performance was similar to that of the model learned only by the actual environmental data.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.36 no.4
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• pp.105-112
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• 2018

This study aims to apply 3D scanning technology to the field of landscape planning design. Through this, 3D scans were conducted on Soswaewon Garden and Seongrakwon Gardens to find directions for traditional landscape planning and designs. The results as follows. First, the actual measurement of the traditional garden through a 3D scan confirmed that a precise three-dimensional modeling of ${\pm}3-5mm$ error was constructed through the merging of coordinate values based on point data acquired at each observation point and postprocessing. Second, as a result of the 3D survey, the Soswaewon Garden obtained survey data on Jewoldang House, Gwangpunggak Pavilion, the surrounding wall, stone axis, and Aeyangdan wall, while the Seongnakwon Garden obtained survey data on the topography, rocks and waterways around the Yeongbyeokji pond area. The above data have the advantage of being able to monitor the changing appearance of the garden. Third, spatial information developed through 3D scans could be developed with a three-dimensional drawing preparation and inspection tool that included precise real-world data, and this process ensured the economic feasibility of time and manpower in the actual survey and investigation of landscaping space. In addition, modelling with a three-dimensional 1:1 scale is expected to be highly efficient in that reliable spatial data can be maintained and reprocessed to a specific size depending on the size of the design. In addition, from a long-term perspective, the deployment of 3D scan data is easy to predict and simulate changes in traditional landscaping space over time.

• Wind and Structures
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• v.36 no.4
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• pp.237-247
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• 2023

The emergence of high-rise buildings has necessitated frequent structural health monitoring and maintenance for safety reasons. Wind causes damage and structural changes on tall structures; thus, safe structures should be designed. The pressure developed on tall buildings has been utilized in previous research studies to assess the impacts of wind on structures. The wind tunnel test is a primary research method commonly used to quantify the aerodynamic characteristics of high-rise buildings. Wind pressure is measured by placing pressure sensor taps at different locations on tall buildings, and the collected data are used for analysis. However, sensors may malfunction and produce erroneous data; these data losses make it difficult to analyze aerodynamic properties. Therefore, it is essential to generate missing data relative to the original data obtained from neighboring pressure sensor taps at various intervals. This study proposes a deep learning-based, deep convolutional generative adversarial network (DCGAN) to restore missing data associated with faulty pressure sensors installed on high-rise buildings. The performance of the proposed DCGAN is validated by using a standard imputation model known as the generative adversarial imputation network (GAIN). The average mean-square error (AMSE) and average R-squared (ARSE) are used as performance metrics. The calculated ARSE values by DCGAN on the building model's front, backside, left, and right sides are 0.970, 0.972, 0.984 and 0.978, respectively. The AMSE produced by DCGAN on four sides of the building model is 0.008, 0.010, 0.015 and 0.014. The average standard deviation of the actual measures of the pressure sensors on four sides of the model were 0.1738, 0.1758, 0.2234 and 0.2278. The average standard deviation of the pressure values generated by the proposed DCGAN imputation model was closer to that of the measured actual with values of 0.1736,0.1746,0.2191, and 0.2239 on four sides, respectively. In comparison, the standard deviation of the values predicted by GAIN are 0.1726,0.1735,0.2161, and 0.2209, which is far from actual values. The results demonstrate that DCGAN model fits better for data imputation than the GAIN model with improved accuracy and fewer error rates. Additionally, the DCGAN is utilized to estimate the wind pressure in regions of buildings where no pressure sensor taps are available; the model yielded greater prediction accuracy than GAIN.

• The Journal of Information Systems
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• v.21 no.2
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• pp.97-114
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• 2012

Given the rapid growth of social network services (SNS) such as Facebook and Cyworld, it is important to understand SNS users' decision-making processes such as purchasing and continuance intention. Especially, as a number of SNS providers such as Cyworld and Habbo Hotel recognize the sales of digital items as the main source of their profits, it is critical to in-depth understand SNS users' purchasing behaviors. In this regard, this study explores continued usage behaviors and purchase behaviors of digital items in an SNS environment using a longitudinal research method. This paper develops a theoretical model to deeply understand the key drivers of purchase behavior of digital items through constructs prescribed by two established research streams on information systems, namely continuance usage and habitual usage. Moreover, this study examines the effects of actual and ideal self-image congruity on SNS continuance intention and habit. The research model was tested by using survey data collected from 307 users who have experience with Cyworld. The analysis results show that SNS actual usage directly influence purchase behavior of digital items. SNS users' continuance intention and habit are key drivers to enhance the level of actual usage of the SNS. Both actual and ideal self-image congruity play a key role in enhancing continuance usage and habitual usage. The implication of research and discussions provides reference for SNS providers in marketing and IT strategy.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.1
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• pp.1-16
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• 2018

The purposes of this study were to investigate actual use, design preference, and purchasing behaviors of bedding among married women in their 30s to 60s, and to determine the differences by age groups on these variables. The subjects were 623 married women and the research method was survey. The data were analyzed by descriptive statistics, cross tab analysis, multiple response analysis, ANOVA, and Duncan's multiple range test, using SPSS program. The results were as follows. First, on the actual use of bedding, the possession quantity of the bed cover and mattress was 2~4 while bedclothes and pillow was 7~8. The period of use of bedding was about 2~4 years and the frequency of washing was about 2~3 times a month. Second, married women generally preferred white and pastel tones, floral patterns, cotton fabrics, and a clean and comfortable image on bedding designs. Third, on the purchasing behaviors of bedding, married women considered functional damage and health & sanitary aspects as important purchase purposes. The most important selection criterion was fabric. Price, tactility, functionality, and manageability were also important criteria. Married women generally used the internet and store displays as important information sources, and considered bedding specialty stores as important purchase places. They generally spent about 200,000~300,000 won a year to purchase bedding. Fourth, the actual use, design preference, and purchasing behaviors of bedding showed many differences by age group. Therefore, it is needed to establish product development and marketing strategy of bedding, considering customers'age variable.

• Journal of the Korean housing association
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• v.5 no.1
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• pp.29-45
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• 1994

The purpose of this study are to investigate the actual conditions of residing environment in children's room and it's utilization. Further, basic for the guidence and the effective preparation of children's room and children's residing environment in addition willbe produce through grasping the actual conditions of them.The subjects of this study were 214 5th grade elementary school children living in Taegu. The analysis of the data was done through SPSS pc programs.The major findings of this study can be summarized as follow;1. The greater part of children had their own room, and they had the desk, the book case and the clothes chest in their room. But the numbers of children with the bed were few in comparison to those. And a large number of children wanted to have the bed and the computer in their room.2. There were significant differences in the actual conditions of residing environcent in children’s room according to the independent variables. For example, the existence of children's room was variable according to farther's job(0.1% level).3. The case of having their own room in the period of the lower grades in elemtary school dccupied the highest percentage. A lage number of children passed away time mostly in the women'a guarters. In the cleaner of children's room, the case of doing themselves occupied the highest rate as 51 percent.4. There were significant differences in the actual conditions of utilization in children's room according to the independent variables. For example, the period of separation from their parents was variable according to mother's educational level(5%), father's job(0.1%)and the numbers of room(1%).

• Journal of Information Technology Applications and Management
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• v.26 no.5
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• pp.13-25
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• 2019

Recently, as evaluation of information security (IS) management become more diverse and complicated, the contents and procedure of the evidence to prepare for actual assessment are rapidly increasing. As a result, the actual assessment is a burden for both evaluation agencies and institutions receiving assessments. However, most of them reflect the evaluation system used by foreign government agencies, standard organizations, and commercial companies. It is necessary to consider the evaluation system suitable for the domestic environment instead of reflecting the overseas evaluation system as it is. The purpose of this study is as follows. First, we will present the problems of the existing information security assessment system and the improvement direction of the information security assessment system through analysis of existing information security assessment system. Second, it analyzes the technical guidance for information security testing and assessment and the evaluation of information security management in the Special Publication 800-115 'Technical Guide to Information Security Testing and Assessment' of the National Institute of Standards and Technology (NIST). Third, we will build a framework to implement the evidence collection system and present a system implementation method for the '6. Information System Security' of 'information security management actual condition evaluation index'. The implications of the framework development through this study are as follows. It can be expected that the security status of the enterprises will be improved by constructing the evidence collection system that can collect the collected evidence from the existing situation assessment. In addition, it is possible to systematically assess the actual status of information security through the establishment of the evidence collection system and to improve the efficiency of the evaluation. Therefore, the management system for evaluating the actual situation can reduce the work burden and improve the efficiency of evaluation.

• Fashion & Textile Research Journal
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• v.16 no.4
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• pp.635-644
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• 2014

This study provides basic reference data for brassiere wearing conditions, design preferences of new silver women (50s-60s) and development of brassiere products. We compiled and compared 163 pieces of brassiere (considering of 105 domestic general brassieres and 58 foreign silver brassieres) analyzed using SPSS Statistics 21 program. A survey was then conducted on the actual wearing, purchasing conditions, design preferences for 176 females (50s-60s). The result of this study are as follows: First, comparing actual product conditions (domestic general products and foreign silver products), the ratio of full cup in cup height, V-shape type in neckline shape, long type in front-end length, wide type in wing width, U-shape type in shoulder strap form, wide type in shoulder strap width, no-wire brassieres in breast wire type, all-in-one type in shoulder strap separation, back type in closure type appeared higher than other types of brassiere in domestic general product. Second, a study also showed that 60s women's wearing time is lower than 50s women's; however, 60s women expressed a higher figure and preference for the purchasing ratio in the department store, full cup in cup height, short type in length of brassieres, wide type in wing width, U-shape in shoulder strap form, small type in shoulder strap width, back type in closure type and no-wire brassieres than those in their 50s. It was found they prefer fabric with a high natural content, nude tone color without decoration & pattern and camisole brassieres.

• Journal of Korean society of Dental Hygiene
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• v.9 no.3
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• pp.248-261
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• 2009

Objective : This study was performed in order to figure out Oral Health Actual Condition in Elementary School Teachers in Deagu area. This study was conducted from March through May 2008. Method : A total of three hundred and ten Elementary School Teachers were surveyed. The collected data were analyzed by Oral Health Actual Condition and cognition, Diet habit or living and one's own intellect health state, Oral disease sign symptoms of percent and 2-test and One-way ANOVA test by using SPSS12.0 Program. Results : 1. The most of result Frequencies of tooth brushing per one day were 3 over 91.0% and Oral Examination, Oral Health Education need. 2. The result of oral disease sign and symptom were hypersensitivity due to cold food(39.0%), halitosis(21.6%), gingival bleeding tendency(21.3), clicking sound on TMJ(18.7%), hypersensitivity due to tooth burshing(17.1%), easy crown fracture and to be fine(10.0%), pain on TMJ or limitation of mouth opening(7.1%). 3. The most of result age a group oral hygiene assistance article age 20 for interdental tooth brushing(46.4%), age 50 over not used interdental tooth brushing 38.5%. 4. The result of sign and symptom and snack following was statistically significant(P<0.05), health of own cognition and Oral health of own cognition was statistically significant(P<0.001). Conclusion : The study of understanded the Subjective Elementary School Teachers Oral Health Actual Condition and Promotion of Oral Health follow up Oral examination and Oral Health Education have to system groping.