• Wind and Structures
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• v.37 no.4
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• pp.289-302
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• 2023

Insulating glass units (IGUs) have been widely used in buildings in recent years due to their superior thermal insulation performance. However, because of the panel reciprocating motion and fatigue deterioration of sealants under long-term wind loads, many IGUs have the problem of early failure of watertight properties in real usage. This study aimed to propose a statistical method for wind-induced deflection of IGU panels during the whole life service period, for further precise analysis of the accumulated fatigue damage at the sealed part of the edge bond. By the estimation of the wind occurrence regularity based on wind pressure return period, the events of each wind speed interval during the whole life were obtained for the IGUs at 50m height in Beijing, which are in good agreement with the measured data. Also, the wind-induced deflection analysis method of IGUs based on the formula of airspace coefficient was proposed and verified as an improvement of the original stiffness distribution method with the average relative error compared to the test being about 3% or less. Combining the two methods above, the deformation of the outer and inner panes under wind loads during 30 years was precisely calculated, and the deflection and stress state at selected locations were obtained finally. The results show that the compression displacement at the secondary sealant under the maximum wind pressure is close to 0.3mm (strain 2.5%), and the IGUs are in tens of thousands of times the low amplitude tensile-compression cycle and several times to dozens of times the relatively high amplitude tensile-compression cycle environment. The approach proposed in this paper provides a basis for subsequent studies on the durability of IGUs and the wind-resistant behaviors of curtain wall structures.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.495-507
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• 2023

The purpose of this study is to identify the current status of legal disputes that occur while firefighters are performing their duties and to suggest efficient response measures. To investigate awareness of legal disputes, a survey was conducted on 3,500 firefighters, and the responses of 505 people who participated in the survey were analyzed. As a research method, frequency analysis and cross-analysis were conducted based on the demographic characteristics of the participants and a survey of firefighters' awareness of the law, and through this, basic statistics and status were analyzed. As a result of the analysis, it was found that firefighters feel a lot of burden, including time and material losses, as well as disadvantages and mental anxiety in the workplace when legal disputes occur while performing their duties. The need for an organizational response in the workplace as an efficient response to this was statistically confirmed. Therefore, based on the results of this study, we propose the permanent establishment and operation of a professional legal support team within each city/provincial fire department headquarters so that firefighters can concentrate on their duties free from legal disputes.

• Journal of Korea Water Resources Association
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• v.47 no.11
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• pp.1039-1050
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• 2014

The goal of this study is to demonstrate the diversity of model performance for various climatic elements and indicators. We evaluated the skills of the most advanced 17 General Circulation Models (GCMs) i.e., CMIP5 (Climate Model Inter-comparison project, phase 5) climate models in reproducing retrospective climatology from 1950 to 2000 over the Southeast US for the key climatic elements important in the hydrological and agricultural perspectives (i.e., precipitation, maximum and minimum temperature, and wind speed). The biases of raw CMIP5 GCMs were estimated for 16 different climatic indicators that imply mean climatology, temporal variability, extreme frequency, etc. using a grid-based observational dataset as reference. Based on the error (RMSE) and correlation (R) of GCM outputs, the error-based GCM ranks were assigned on average over the indicators. Overall, the GCMs showed much better accuracy in representing mean climatology of temperature comparing to other elements whereas few GCM showed acceptable skills for precipitation. It was also found that the model skills and ranks would be substantially different by the climatic elements, error statistics applied for evaluation, and indicators as well. This study presents significance of GCM uncertainty and the needs of considering rational strategies for climate model evaluation and selection.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.891-899
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• 2024

The Fourth Industrial Revolution is centered on a personalized demand fulfillment economy and is all about transformation and flexible processing that can deliver what customers want in real time across space and time. This paper implements the construction and operation of a packaging platform that can instantly procure the required packaging products based on real-time orders and evaluates its performance. The components of customer satisfaction are flexible and dependent on the situation which requires efficient management of enterprise operational processes based on an e-SCM platform. An OMS optimized for these conditions plays an important role in maximizing and differentiating the efficiency of a company's operations and improving its cost advantage. OMS is a system of mass customization that provides efficient MOT(Moment of Truth) logistics services to meet the eco-friendly issues of many individual customers and achieve optimized logistics operation goals to enhance repurchase intentions and sustainable business. OMS precisely analyzes the collected data to support information and decision-making related to efficiency, productivity, cost and provide accurate reports. It uses data visualization tools to express data visually and suggests directions for improvement of the operational process through statistics and prediction analysis.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.137-157
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• 2017

As unemployment rises and economic growth slows, interest in startups, which is considered to be the driving force of job creation, is increasing. This study aimed to analyze the employment effects of knowledge-based startups in South Korea. In particular, startups were divided into three categories (knowledge-based manufacturing, knowledge-based service, and other industries) and the region were divided into the capital region and the other regions. The result of the analysis, which used census on Establishments Data from Statistics Korea(KOSIS), showed that the employment effects of startups change in three steps over time. When new firms were created, employment increases instantly. However, as the competition among firms increases, some firms exit the market and employment decreases. In the long-term, some firms will survive the market competition and increase their firm size and the number of jobs they offer. The total employment effect was greater for knowledge-based startups than the other industries startups. The total employment effect of knowledge-based startups are 2.84%p for the period of 6 years. Startups in the Capital region showed higher employment effect than startups in other regions. This implies that in the capital region, employment increases more after the startups are created, but due to fierce competition, employment also decreases relatively more than it does in other regions. However, companies that survive competition create more employment. This study may give some policy implications that startup policies should be tailored to the startup's type and regional characteristics in order to achieve more effective job creation performance.

• The Journal of Korean society of community based occupational therapy
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• v.6 no.2
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• pp.51-59
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• 2016

Objective : The purpose of study is to provide basic information about the effects of leisure time use and leisure activity performance for intellectual disabilities residing in a residential care facility by participating a regular rehabilitation sports program. Methods : Participants were recruited 8 individual with intellectual disability in a residential care facility in Yong-in city and the study period lasted 12 weeks, from september 1 to November 30 in 2015. As a program, participants participated a muscle strengthening exercise using a Gym-ball and a elastic band. In order to analyze leisure time-use, time questionnaire was used every month to analyze total time and exercise frequency. Also, analyze the effects of leisure activity performance, Canadian Occupational Performance Measure(COPM) was used to performance and satisfaction of dynamic leisure activity. Collected data was encoded by item and analyzed with SPSS ver18.0. Descriptive statistics were used for the participants' general information. A non-parametric test (the Friedman test) was used to analyze leisure time-use. A non-parametric test (the Wilcoxon's signed ranked test) was used to analyze to the effects of leisure activity performance. Statistical significance was accepted outside the 95% confidence interval. Results : The results of the total time and the exercise frequency showed significant increase. Also, the results of the performance and the satisfaction showed significant increase. Conclusion : Thus, the participation of the rehabilitation sports program is a vital element to lead to change leisure time use and leisure activity performance for intellectual disabilities residing in a residential care facility. Also, through the providing and the developing a regular rehabilitation sports program systematically, intellectual disabilities residing in a residential care facility have a higher quality of life and satisfaction of the daily routine and life in a residential care facility.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.498-511
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• 2014

This study was designed to investigate the perception of the competencies of using Importance-Performance Analysis (IPA). The subjects of the study were 318 clients and 118 consultants. Descriptive statistics, paired t-tests, and Importance-Performance Analysis (IPA) were conducted based on perception levels of clients and consultants to increase understanding of current situations and trends. Findings are expected to assist in planning. Regarding the perception of clients, Quadrant 2 (Concentrate Here) included consulting supervision expertise and content expertise, and Quadrant 4 (Possible Overkill) included skill expertise. Regarding the perception of consultants, Quadrant 1 (Keep Up the Good Work) included skill expertise; Quadrant 2 (Concentrate Here) included content expertise; and Quadrant 3 (Low Priority) included consulting supervision expertise. Results revealed that clients had no responses for Quadrant 1, but they offered 10 items associated with Quadrant 2, one item for Quadrant 3, and four items for Quadrant 4. Consultants responded with five items for Quadrant 1, three items for Quadrant 2, three items for Quadrant 3, and four items for Quadrant 4.

• Journal of Distribution Science
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• v.13 no.5
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• pp.113-120
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• 2015

Purpose - As the rapid development of ICT has been made recently, many domestic companies are trying to introduce smart work infrastructure. The purpose of institution of smart work is to enhance their performance. To this end, it is necessary to advance the way of working. Developing employees' collective intelligence should be regarded as a prerequisite for advancing the way of working. Job satisfaction of the employees is another important factor to enhance organizational performance. So this study aims to provide the theoretical background of systematic approach to smart work quality by empirically analyzing the effect of smart work quality on collective intelligence and job satisfaction. Research design, data, and methodology - A structural equation model was designed to examine cause-and-effect relationships among three latent variables(smart work quality, collective intelligence, job satisfaction). Three hypotheses were formulated. The first hypothesis is that the effect of smart work quality on collective intelligence will be positively and statistically significant. Likewise, the second hypothesis is that the effect of smart work quality on job satisfaction will be positively and statistically significant. Finally, the third hypothesis is that the effect of collective intelligence on job satisfaction will be positively and statistically significant. Based on the previous researches, 34 questionnaire items were developed to measure the effect of the three variables. The survey was conducted on 162 employees who are working under smart work environment. The number of the effective questionnaires for the analysis was 154. PASW Statistics 18 and AMOS 18 were used for the statistical analysis. Results - The validity and reliability test for questionnaire items have been carried out. From the factor analysis, 1 out of 34 items was eliminated. As a result, 33 out of 34 items were used for analyzing. The values of Cronbach's α ranged from 0.701 to 0.910, indicating the acceptable reliability of the questionnaire items. The values of χ2, df, CFI, TLI, RMSEA of the model are 102.838, 51, 0.949, 0.935, 0.082, respectively. So the structural equation model was statistically significant. The first and third hypotheses were supported. But the second hypothesis was rejected. Conclusions - An analysis using structural equation model showed meaningful implications about the effect of smart work quality on collective intelligence and job satisfaction. First, as the five quality elements of the smart work improved, the level of collective intelligence increased. Second, the statistical analysis showed smart work didn't have a direct effect on job satisfaction, which is inconsistent with the prior findings. The main purpose of smart work is to help achieve greater performance. The companies also need to make efforts to improve job satisfaction of their employees along with achieving greater performance. Third, an organization with higher level of collective intelligence showed greater job satisfaction. The companies under smart work environment need to develop functions to encourage participation, sharing, openness, and collaboration. This research will provide useful information for the companies which want to introduce smart work, distribution information system, management information system, etc.

• Journal of Technology Innovation
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• v.27 no.2
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• pp.73-98
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• 2019

This study aims to contribute to the improvement of the patent activity of small and medium-sized enterprises in the future by proposing five strategies for enhancing customized patent activity for small and medium-sized enterprises under the assumption that patent application affects firm performance. The subjects of this study were 25 years of active patent activity, using patent activity statistics for 5 years from 2010 and statistical data of business performance based on 2014. The research procedure was conducted in the order of DEA-BCC efficiency analysis, patent activity analysis, and patent portfolio analysis, and then propose a strategy to improve patent activity. As a result of the research, it was confirmed that 5 industries with high patent activity and IRS type have a substantial effect on improving corporate performance as an industry with high patent efficiency. On the other hand, there are 12 industries in the form of IRS/DRS, and 8 industries with low patent activity, DRS, CRS/IRS mixed type and IRS, and that the efficiency of the patent may vary depending on the characteristics of each industry.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.63-71
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• 2012

This paper presents a design and implementation of U-Seum(Ubiquitous Museum) system based on the LBS(Location Based Service) and mobile augmented reality technique. The mobile services under the smart space of the ubiquitous environments have been expanded in the various fields. In this study, we introduce U-Seum which supports tourists in the museum. U-Seum is developed by use of the position tracking technique based on Wi-Fi and mobile augmented reality. The GPS which is widely used in the position tracking has a difficulty to be utilized in the inside of the building because it requires the Line-of-Sight between a sender and a receiver. Therefore, in this paper, we develop a realtime tour-supported service through experience and evaluate the performance of the system in the world famous UNESCO's Hwa-Seong Museum by measuring the distance from the Wi-Fi signal which is suitable to track the position interior of the museum. U-Seum provides various push services such as mobile augmented reality service for explanation of the artifacts of the museum, game services and the statistics information of the tourist when the tourist approach a specific AP. U-Seum is developed in the Haw-Seong Museum by the support of the Swon Haw-Seong Cultural Foundation. With a field test, we prove that the excellence and expandability of the system.