• Title/Summary/Keyword: Work rate

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Factors Affecting Consumers' Acceptance of e-Commerce Consumer Credit Service: Multiple Group Path Analysis by Naver Shopping and Coupang (이커머스 후불결제(BNPL) 수용에 영향을 미치는 요인: 네이버쇼핑과 쿠팡 간 다중집단 비교)

  • Kim, Su Jin;Mo, Jeonghoon
    • The Journal of Society for e-Business Studies
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    • v.27 no.2
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    • pp.105-135
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    • 2022
  • As COVID-19 has led to a surge in e-commerce Buy Now Pay Later(BNPL) has become preferred choice among millennials. In Korea Coupang followed by Naver Pay offers a deferred payment, aiming to create customer lock-in effect, save credit card processing fee and lay the groundwork for entering into new financial services. However the literature related to the influential factors of customers' usage intention toward a deferred payment is scarce. For the study, a multi-group analysis was carried out to find differences between Naver shopping and Coupang. The results revealed that the important factors that affect a deferred payment adoption were compatibility, impulsive buying tendency in Naver shopping, whereas compatibility, relative advantage, additional value in Coupang(listed in order of most important). In addition, impulsive buying tendency had a positive effect on adoption intention in Naver shopping and on perceived risk in Coupang. The results imply that Naver shopping need to focus on managing delinquency while Coupang should provide sufficient information on how late fees and credit rating downgrade work and try not to make a deferred payment option stand out. In order to increase adoption rate it is recommendable to narrow down target segment of a deferred payment and expand it to a specialized vertical such as travel.

Effects of Spatio-temporal Features of Dynamic Hand Gestures on Learning Accuracy in 3D-CNN (3D-CNN에서 동적 손 제스처의 시공간적 특징이 학습 정확성에 미치는 영향)

  • Yeongjee Chung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.145-151
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    • 2023
  • 3D-CNN is one of the deep learning techniques for learning time series data. Such three-dimensional learning can generate many parameters, so that high-performance machine learning is required or can have a large impact on the learning rate. When learning dynamic hand-gestures in spatiotemporal domain, it is necessary for the improvement of the efficiency of dynamic hand-gesture learning with 3D-CNN to find the optimal conditions of input video data by analyzing the learning accuracy according to the spatiotemporal change of input video data without structural change of the 3D-CNN model. First, the time ratio between dynamic hand-gesture actions is adjusted by setting the learning interval of image frames in the dynamic hand-gesture video data. Second, through 2D cross-correlation analysis between classes, similarity between image frames of input video data is measured and normalized to obtain an average value between frames and analyze learning accuracy. Based on this analysis, this work proposed two methods to effectively select input video data for 3D-CNN deep learning of dynamic hand-gestures. Experimental results showed that the learning interval of image data frames and the similarity of image frames between classes can affect the accuracy of the learning model.

Study on Wearable Health Care Devices Function Using Quantified Self - Focusing on Cardio-cerebrovascular Disease - (수치화 된 자아를 활용한 헬스케어 웨어러블 디바이스 기능 분석 - 심뇌혈관 질환 중심으로 -)

  • Lee, Ye Rim;Jung, Jung Ho
    • Design Convergence Study
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    • v.16 no.5
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    • pp.1-20
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    • 2017
  • Cardio-cerebrovascular disease is one of the chronic diseases that often attack people in Korea, and in fact, it ranks second in terms of death rate. This disease can be prevented by improving lifestyle, usual health care is important. But, in Korea most of the prevention or management programs adopt passive methods like using guide books or giving lectures, so it is not very effective in preventing the disease. Presently, the smart health care market is being developed in Korea and overseas. As an example, quantified self is being spread through wearable devices which are intended to measure each individual's health conditions and quantify body data into numbers for bettering habits. Accordingly, this author will explore and discuss wearable health care devices so as to prevent and manage cardio-cerebrovascular disease in a more active way. First, this study has classified wearable health care devices presently commercialized or related with cardio-cerebrovascular disease into wrist, clothes, or attaching types by the way of their attachment and analyzed them. After that, summing that up, this author performed cross-tabulations with other ways of preventing cardio-cerebrovascular disease. This will contribute to improving one's health care behavior about disease more actively and also work as an active interdisciplinary mechanism in research dealing with how to prevent disease afterwards.

A Study on Audio-Visual Expression of Biometric Data Based on the Polysomnography Test (수면다원검사에 기반한 생체데이터 시청각화 연구)

  • Kim, Hee Soo;Oh, Na Yea;Park, Jin Wan
    • Korea Science and Art Forum
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    • v.35
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    • pp.145-155
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    • 2018
  • The goal of the study is to provide a new type of audio-visualization method through case analysis and work production based on Polysomnography(PSG) data that is difficult to interpret or not familiar to the public. Most art works are produced with conscious actions during waking hours. On the other hand, during sleep, we get into the world of unconsciousness. Therefore, through the experiment, want to discover if could get something new when we were in the subconscious state, and if so, wondered what kind of art could be made through it. The study method is to consider definition of sleep and sleep data first. The sleep data were classified into normal group and Narcolepsy, Insomnia, and sleep apnea by focusing on sleep disorder graphs that is measured by sleep polygraph. After that, I refined and converted the acquired biometric data into a text-based script. The degree of sleep in the text form of the script was rendered as a 3D animated image using Maya. In addition, the heart rate data script was transformed into a midi format, and the audition was implemented in the garage band. After Effects combines the image and sound to create four single channel images of 3 minutes and 20 seconds each. As a result of the research, I made an opportunity for anyone easy to understand the results, having difference with the normal data, through art instead of using difficult medical term. It also showed the possibility of artistic expression even when conscious actions did not occur. Through the results of this research, I expect the expansion and diversity of artistic audiovisual expression of biometric data.

A Study to Increase Methane Ratio of Landfill Gas by Capturing Carbon Dioxide (매립지가스의 메탄 비율 증가를 위한 이산화탄소 포집 연구)

  • Bada Kim;Junghyun Park;Sungwoon Choi;Youngchul An;Daeyup Lee
    • Journal of the Korean Institute of Gas
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    • v.27 no.2
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    • pp.25-31
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    • 2023
  • The purpose of this study is to increase the thermal efficiency of a landfill gas (LFG) power generation engine by capturing carbon dioxide (CO2) from landfill gas (LFG) using monoethanolamine (MEA), which is widely used in the chemical CO2 absorption process. Since the use of LFG as an energy source can be a means of reducing greenhouse gas emissions, MEA can be used to reduce CO2 in LFG and increase the concentration of CH4 to improve the efficiency of power generation. In this study, experiments were conducted to measure the solubility of CO2 and CH4 in MEA solution, increase the solubility under different conditions, and analyse the dissolution characteristics. It was found that the CO2 absorption rate increased as the ratio of MEA to reaction gas increased. There is an optimum MEA concentration to maximise CO2 solubility, and even if the concentration is increased above this concentration, the solubility does not improve significantly. This study provided fundamental work to develop a more practical fuel by capturing CO2 from LFG and increasing the concentration of CH4 while reducing greenhouse gas emissions.

A Study on the Analysis of Factors Affecting the Development of Specialized Libraries (전문도서관 발전에 영향을 미치는 요인 분석에 관한 연구)

  • Eunhyoung Kim;Younghee Noh
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.81-114
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    • 2023
  • In this study, a survey was conducted targeting specialized librarians, and the impact on the work area according to changes in the internal and external environment and policy support measures was analyzed. In this study, we tried to derive factors that affect library development and policy suggestions accordingly. As a result of the study, first, it was confirmed that 58.3% of the negative opinions in terms of the importance of library development plans were positive in recognition of the role of library status within individual institutions. Second, in order to increase the status of specialized libraries, it was found that awareness of academic research activities was necessary by recognizing the importance of major functions and roles. Third, among the comprehensive library development plans, the recognition of specialized libraries and operational evaluation was the highest in recognition of the expansion of national public information services to the public. In addition, it was confirmed that among the five-year development strategies, the policy that should be implemented first is the preference for updating the status of specialized libraries and establishing a system for investigation. Fourth, as a result of analyzing effective alternatives and improvement indicators to increase the participation rate in library operation evaluation, the weighting of the "institutional library operation evaluation" item in the evaluation item of public enterprises was the highest at 4.01 on average. Therefore, for the development of specialized libraries, it was recognized as the most urgent task to establish a system that can comprehensively grasp the current status of specialized libraries as well as active academic research and support them.

The intention of nail industry workers to change jobs Effects on job stress and emotional labor (네일산업 종사자들의 이직 의도가 직무스트레스 및 감정노동에 미치는 영향)

  • Eun-Ji Kim;In-Kyoung Kim
    • Journal of Advanced Technology Convergence
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    • v.2 no.2
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    • pp.49-55
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    • 2023
  • As interest in "beauty" increases due to the improvement of a high cultural level, job stress and emotional labor caused by nail workers working are gradually increasing, and it is judged that it should be solved in the beauty industry. This study investigated the effect of working stress and emotional labor on turnover intention of nail workers, and the survey tool was a questionnaire for 250 nail industry workers in Daejeon and Chungcheong. The SPSS 21.0 statistical program was used to analyze the collected data, and the research results showed that job stress and emotional labor of nail workers had a statistically significant correlation with turnover intention, indicating that there was a correlation between general job stress and emotional labor. Therefore, it is considered very important for research in this field to analyze the impact of job stress and emotional labor on turnover of nail industry workers and to provide basic data necessary for the development of this field, job satisfaction improvement, and work stress response. In order to establish the nail field as a part of the growing beauty industry, it is expected that there will be better research results if the turnover rate is reduced and compared and analyzed to improve job satisfaction through analysis of the causes of job stress and emotional labor of nail industry workers.

Effects of Organizational Justice on Emotions, Job Satisfaction, and Turnover Intention in Franchise Industry (조직공정성이 감정, 직무만족 그리고 이직의도에 미치는 영향)

  • Han, Sang-Ho;Lee, Yong-Ki;Lee, Jae-Gyu
    • The Korean Journal of Franchise Management
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    • v.9 no.2
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    • pp.7-16
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    • 2018
  • Purpose - Turnover Intention in the franchise industry is becoming a very important issue. This study examines the structural relationships between organizational justice, emotion, job satisfaction, and turnover intention in the franchise industry. In this model, emotion was classified into two sub-dimensions such as positive and negative emotion. Research design, data, methodology - The sample of this study collected from employees of a food-service franchise company is representative. Copies of the questionnaire along with a cover letter were delivered by a research assistant to the human resources manager or the general manager of the selected food-service franchise firms after they agreed to participate in the study. In order to increase the response rate of the respondents, a small gift was provided to the respondents who completed the questionnaire. A total of 300 questionnaires were distributed and 285 returned responses, 9 responses were not usable due to missing information. Thus, a total of 276 responses were used using structural equation modeling with Smartpls 3.0. Results - The results showed that organizational justice had positive significant effects on positive emotion and job satisfaction. Job satisfaction had negative a significant effect on turnover intention. And negative emotion had positive significant effect on turnover intention. Conclusions - The results of this study provide some implications. If employees feel that the franchise headquarters is fair about the methods and procedures of decision making, resource allocation, information sharing, etc., it means that employees feel better. If the franchise's decision-making processes and methods and results are transparently disclosed and processed in accordance with the internal rules of the company, the employees will be able to fully understand and accept them. The results of this study also show that positive and negative emotions of service-based franchise employees have different effects on job attitude and organizational behavior. In particular, when negative emotions of employees are passed on to others and the results are negative, employees may feel that they are disoriented or wrong. Therefore, the franchise headquarters should try to inspire employees' sense of organizational community, and should pay attention to how to relieve the job stress and the fair distribution of work and rewards.

A Study on the Analysis of Container Physical Distribution System -Pusan Port Oriented- (물류시스템 분석에 관한 연구 - 부산항을 중심으로 -)

  • Park, C.H.;Lee, C.Y.
    • Journal of Korean Port Research
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    • v.5 no.2
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    • pp.19-37
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    • 1991
  • This work aims to : establish a model of the container physical distribution system of Pusan port comprising 4 sub-systems of a navigational system, on-dock cargo handling/transfer/storage system, off-dock CY system and an in-land transport system : examine the system regarding the cargo handling capability of the port and analyse the cost of the physical distribution system. The overall findings are as follows : Firstly in the navigational system, average tonnage of the ships visiting the Busan container terminal was 33,055 GRT in 1990. The distribution of the arrival intervals of the ships' arriving at BCTOC was exponential distribution of $Y=e^{-x/5.52}$ with 95% confidence, whereas that of the ships service time was Erlangian distribution(K=4) with 95% confidence, Ships' arrival and service pattern at the terminal, therefore, was Poisson Input Erlangian Service, and ships' average waiting times was 28.55 hours In this case 8berths were required for the arriving ships to wait less than one hour. Secondly an annual container through put that can be handled by the 9cranes at the terminal was found to be 683,000 TEU in case ships waiting time is one hour and 806,000 TEU in case ships waiting is 2 hours in-port transfer capability was 913,000 TEU when berth occupancy rate(9) was 0.5. This means that there was heavy congestion in the port when considering the fact that a total amount of 1,300,000 TEU was handled in the terminal in 1990. Thirdly when the cost of port congestion was not considered optimum cargo volume to be handled by a ship at a time was 235.7 VAN. When the ships' waiting time was set at 1 hour, optimum annual cargo handling capacity at the terminal was calculated to be 386,070 VAN(609,990 TEU), whereas when the ships' waiting time was set at 2 hours, it was calculated to be 467,738 VAN(739,027 TEU). Fourthly, when the cost of port congestion was considered optimum cargo volume to be handled by a ship at a time was 314.5 VAN. When the ships' waiting time was set at I hour optimum annual cargo handling capacity at the terminal was calculated to be 388.416(613.697 TEU), whereas when the ships' waiting time was set 2 hours, it was calculated to be 462,381 VAN(730,562 TEU).

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An Estimation on Average Service Life of Public Buildings in South Korea: In Case of RCC (우리나라 공공건물의 내용연수 추정: RCC를 중심으로)

  • Jung-Hoon Kwon;Jin-Hyung Cho;Hyun-Seung Oh;Sae-Jae Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.1
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    • pp.84-90
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    • 2023
  • ASL estimation of public building is based on how appropriate the maximum age of the asset is derived based on the age record of the asset in the statistical data owned by public institutions. This is because we get a 'constrained' ASL by that number. And it is especially true because other studies have assumed that the building is an Iowa curve R3. Also, in this study, the survival rate is 1% as the threshold value at which the survival curve and the predictable life curve almost coincide. Rather than a theoretical basis, in the national statistical survey, the value of residual assets was recognized from the net value of 10% of the acquisition value when the average service life has elapsed, and 1% when doubling the average service life has elapsed. It is based on the setting mentioned above. The biggest constraint in fitting statistical data to the Iowa curve is that the maximum ASL is selected at R3 150%, and the 'constrained' ASL is calculated by the proportional expression on the assumption that the Iowa curve is followed. In like manner constraints were considered. First, the R3 disposal curve for the RCC(reinforced cement concrete) building was prepared according to the discarding method in the 2000 work, and it was jointly worked on with the National Statistical Office to secure the maximum amount of vintage data, but the lacking of sample size must be acknowledged. Even after that, the National Statistical Office and the Bank of Korea have been working on estimating the Iowa curve for each asset class in the I-O table. Another limitation is that the asset classification uses the broad classification of buildings as a subcategory. Second, if there were such assets with a lifespan of 115 years that were acquired in 1905 and disposed of in 2020, these discarded data would be omitted from this ASL calculation. Third, it is difficult to estimate the correct Iowa curve based on the stub-curve even if there is disposal data because Korea has a relatively shorter construction history, accumulated economic wealth since the 1980's. In other words, "constrained" ASL is an under-estimation of its ASL. Considering the fact that Korea was an economically developing country in the past and during rapid economic development, environmental factors such as asset accumulation and economic ability should be considered. Korea has a short period of accumulation of economic wealth, and the history of 'proper' architectures faithful to building regulations and principles is short and as a result, buildings 'not built properly' and 'proper' architectures are mixed. In this study, ASL of RCC public building was estimated at 70 years.