• Journal of the Korean Geotechnical Society
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• v.34 no.12
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• pp.145-154
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• 2018

The damage investigation and inspection methods performed in concrete facilities such as bridges, tunnels, retaining walls and so on, are usually visually examined by the inspector using the surveying tool in the field. These methods highly depend on the subjectivity of the inspector, which may reduce the objectivity and reliability of the record. Therefore, the new image processing techniques are necessary in order to automatically detect the cracks and objectively analyze the characteristics of cracks. In this study, deep learning and image processing technique were developed to detect cracks and analyze characteristics in images for concrete facilities. Two-stage image processing pipeline was proposed to obtain crack segmentation and its characteristics. The performance of the method was tested using various crack images with a label and the results showed over 90% of accuracy on crack classification and segmentation. Finally, the crack characteristics (length and thickness) of the crack image pictured from the field were analyzed, and the performance of the developed technique was verified by comparing the actual measured values and errors.

• Journal of Sensor Science and Technology
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• v.31 no.6
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• pp.433-440
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• 2022

Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.

• Journal of Distribution Science
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• v.11 no.6
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• pp.67-80
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• 2013

Purpose - This study aims to establish the relationships among brand equity, brand attitudes, and Visual Merchandising (VMD) in bakery stores. The results will help bakery franchisees and franchisers in devising appropriate strategies for successfully managing their bakery shops. Research design, data, and methodology - The VMD model for bakery shops comprises harmony, attractiveness, suitability, pandemic, functionality, and reliability. Further, brand equity encompasses brand awareness, perceived quality, and brand image. In this study, the VMD factors of bakery shops are used as independent variables, while brand equity and brand attitude are used as dependent variables. This study aims to ascertain the extent of the influence VMD components of bakery shops have on brand equity and brand attitude. Regression analysis was used to verify those effects. The measurement items, deemed reliable and valid in a previous study, were modified for this study. Questionnaires were distributed to 500 consumers nationwide, of whom 340 were used for the sample. The SPSS 19.0 statistical program was used for the analysis. Results - First, among the VMD bakery shop components, harmony, attractiveness, and pandemic have a positive impact on brand equity (brand awareness and brand image). Second, amongst the VMD components of bakery shops, attractiveness, pandemic, and reliability have a positive impact on brand equity (perceived quality). Third, amongst the VMD components of bakery shops, harmony, attractiveness, and reliability have a positive impact on brand attitude. Fourth, brand equity (brand awareness, brand image, and perceived quality) have a positive effect on brand attitude. Conclusions - This study identifies the relationships between the VMD components of a bakery shop and brand equity and attitude in order to propose a new model. The study has several practical implications. First, the development of brand equity and management can be important components in bakery shops' determination of whether their VMD components have an impact on brand equity. Second, among VMD components, harmony and attractiveness have a positive influence on the choice of bakery shop, while reliability and pandemic have a partly positive influence on the choice of bakery shop. Therefore, store atmospheres should be attractively designed, and store menus and interiors should be reviewed periodically to conform to the latest trends. This study suggests marketing strategies for brand equity formation. First, providing collateral product quality, hygiene, and safety benefits as well as product offerings to complement the season and employees' services should be considered. Second, display methods, illumination designs, and new product ideas should be periodically reviewed. Third, these should complement the overall harmony of the interior and exterior and of the store atmosphere in order to be attractive. Funds should thus be dedicated specifically for the facilities and their interiors. Fourth, it is necessary to build a friendly and relaxed image that can be easily called to mind by the customers.

• Journal of the Society of Disaster Information
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• v.17 no.1
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• pp.81-96
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• 2021

Purpose: Based on the preceding studies in supply chain management, factors were analyzed to verify the effect of risk assessment and risk management factors of the business continuity management system (BCMS) on management performance. The purpose of this study is to establish a systematic risk management plan by deriving the risk factors of BCMS and evaluating unpredictable risks, and at the same time, contributing to a company's competitive advantage without interruption of work. Method: The structural relationship between risk assessment, risk management and management performance of BCMS was derived. To this end, a questionnaire survey was conducted of 124 managers and managers in Korean companies. Frequency analysis, validity analysis, reliability analysis, correlation analysis, and simple regression analysis were performed. Result: First, risk assessment had a positive (+) effect on risk management. Second, risk management had a positive (+) effect on management performance. Finally, risk assessment had a positive (+) effect on management performance. Conclusion: BCMS's risk assessment and risk management capabilities should be managed through financial performance, and risk management activities should be managed through non-financial performance.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.175-181
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• 2008

20세기 90년대부터 시작하여 이동통신 시장은 매우 높은 증가세가 나타나 핸드폰 사용 고객 수와 영업 액이 이미 고정전화를 앞섰다. 현재 이동통신은 매우 중요하고 발전 속도가 아주 빠른 산업으로 성장되었다. 오늘에 와서 중국과 한국 두 이웃 나라 간에는 많은 면에서 밀접한 관계를 보였다. 양국 수교 이후, 한국의 많은 기업들이 중국으로의 진출을 시도하였었고 그에 따른 투자도 적지 않는 규모였다. 중국은 세계에서 인구가 제일 많은 나라이고, 또한 WTO에 가입한 이래 발전 단계에 있는 이동통신 산업의 전망은 아주 좋을 것이다. 반면, 한국 이동통신 산업은 이미 성숙기에 들어섰고 이동통신사 간의 경쟁이 매우 치열하다. 본 논문의 목적은 한중 이동통신 고객들에 대한 설문조사를 통하여 이동통신사의 서비스가 고객 만족에 대하여 미치는 영향을 분석하는데 있다. 이 논문은 SPSS 프로그램으로 설문결과에 대한 분석을 서비스 품질 요인은 한국의 고객만족에 영향을 미치고, 반면, 요인 Tangibles, Reliability, Responsiveness, Assurance는 중국의 고객 만족에 영향을 미치지만 요인 Empathy는 고객만족에 영향이 없다는 결론을 얻었다.

• Proceedings of the Safety Management and Science Conference
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• 1999.11a
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• pp.133-146
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• 1999

오늘날의 산업용 로봇, CNC 공작기계 및 여러 산업설비들은 시스템간에 관계가 복잡하게 연결되어 높은 신뢰성(reliability)을 달성하여 왔다. 그러나 가동시 발생하는 결과의 고장 가능성은 적은 반면에, 고장 발생의 파급 효과는 매우 높은 것으로 나타났다. 따라서 복잡한 구조의 산업설비들에 대한 안전진단 결과들을 적절하게 분석하고 관리할 필요성이 크게 대두되고 있다. 이러한 안전진단 작업은 여러 가지 정량적ㆍ정성적인 방법들을 포함하는 전형적인 분석방법이 필요하다. 최근에는 고장탐색, 진단처리 작업 및 신뢰성 분석 작업에 지식기반(knowledge-based)을 기초로한 퍼지 전문가 시스템을 적용하고자 하는 시도가 많이 이루어지고 있다. 안전진단 분석에 관한 일반화된 지식은 이들 후속 단계들에서 상당히 효율적일 수 있다. 그러나 이러한 연구를 수행하기에는 지금까지 상대적으로 열악한 계산 도구들을 이용하였기 때문에 안전진단 분석을 행하기에는 한계가 있었다. 그러나 오늘날 컴퓨터를 이용하여 위의 여러 단계들의 수행과정에 안전진단 분석을 행할 수 있는 적절한 방법으로써, 지식-기반(knowledge-base) 전문가 시스템들을 이용하는 방법을 연구하고 있다. 이에 본 연구는 시스템의 설계단계 뿐만 아니라, 시스템의 가동ㆍ유지ㆍ보수ㆍ수리시에도 비전문가가 고장안전진단을 수행할 수 있도록 하는데 목표를 두었다.

• Journal of Auto-vehicle Safety Association
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• v.13 no.1
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• pp.51-56
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• 2021

As hydrogen is classified as an eco-friendly fuel, vehicles using hydrogen fuel are being developed worldwide. Vehicle fuel hydrogen is stored in cylinders at 70 MPa, so there is a high risk of explosion. Therefore, it is important to inspect hydrogen cylinders in used-vehicles. This study was conducted to improve the inspection method of the cylinders currently mounted on used-hydrogen buses. The inspection method is an image analysis method using a camera. Calcaulation algorithm was developed to quantitatively chech the amount of hydrogen leakage by the image method. As a result of adding a contact angle element to the calculation algorithm suggested by the GTR regulation and comparing it with the experimental data of the GTR regulation, the algorithm reliability was 94%, which secured similarity.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.320-334
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• 2018

The purpose of this study is to examine the effect of take-out food selection attributes of Korean restaurant on trust and customer satisfaction and to analyse the mediating effects of trust. Collected data were statistically analyzed by frequency analysis, factor analysis, reliability analysis, correlation analysis and covariance structure analysis using SPSS 22.0 and AMOS 22.0. The results of this study are as follows: First, selection attributes consists of safety, convenience, quality of food and economics. Among selection attributes, safety, convenience, quality of food and economics had a significant influence on trust. Second, among selection attributes, safety, convenience, quality of food and economics had a significant influence on customer satisfaction. Third, trust had a significant influence on customer satisfaction. Fourth, trust had a mediating effect between selection attributes and customer satisfaction. The conclusion section suggested strategic implications to induce selection attributes, trust and customer satisfaction based on the findings.

• Journal of the Korean Society of Safety
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• v.36 no.5
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• pp.71-78
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• 2021

There are regularly planned overhaul periods in thermal power plants, which involve the maintenance of the boiler of the power plants. However, thermal power plants workers are always exposed to risk during overhaul periods owing to the narrow space and significant dust inside the boiler. Therefore, it is essential to develop a safety monitoring system that is suitable for operating in this type of environment. In this study, we developed not only a worker three-dimensional (3D)-location monitoring system that can monitor and record the entry/exit of workers, their 3D-location, and fall accidents but also a method to secure the working environment and operation efficiency. This system comprises of a worker tag, which was equipped with an inertial measurement unit, a barometric pressure sensor, and a Bluetooth low energy (BLE), and the tags were given to each worker. In addition, the location of workers inside the boiler was measured using a pedestrian dead reckoning (PDR) method and BLE beacons. The location data of the workers tag were transmitted to the integrated database (DB) server through a gateway, and to the administrator monitoring system. The performance of the system was demonstrated inside an actual thermal power plant boiler, and the accuracy and reliability of the system were verified through a number of repeated tests. These results provide insights on designing a new system for monitoring enclosed spaces.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.6
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• pp.92-99
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• 2021

The rotavator is attached to the three-point hitch at the rear of a tractor and uses the power take-off strength of the tractor to perform soil harrowing. During operation, the power transmitted to the gearbox of the rotavator varies with the soil characteristics and depth. These properties influence the reliability of the gearbox. In this study, actual load measurements and analyses were performed using a rotavator. In addition, the safety factor and fatigue life of the gearbox components were determined using the analysis results. Through analysis and tests, the contact pattern of the gear tooth surface was identified. The input power values of the gearbox were minimum and maximum at 54.5% and 84.5% of the tractor power, respectively. Based on the actual load analysis results, the strength and fatigue life of the gearbox components were satisfied. In addition, through the analysis and testing of the gear contact pattern, it was confirmed that a similar contact occurred. Through the analysis, the magnitude of the load acting on the tooth surface of the gear was confirmed.