• Title/Summary/Keyword: M 지불

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Research on the influence of union-pay M-payment quality and brand personality on user viscosity

  • Liu, Zi-Yang;Wang, Jun-Lin;Liu, Jiayu;Liu, Xiao-yin;Liao, Kai
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.157-163
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    • 2020
  • The purpose of this study is to explore the impact of Union-Pay mobile payments on user viscosity from the perspective of service quality and brand personality. In the future, it is meaningful for CUP to obtain a stable and loyal user group in China's mobile payment market. This study uses SPSS22.0 and AMOS statistical analysis tools to conduct empirical research. In this case, this study uses mobile service quality and The brand personality is the independent variable, and the user's viscosity is the dependent variable, which studies the impact on the user's viscosity in the context of China Union-Pay mobile payment. the study. According to the analysis results, the research goal: service quality has a significant positive correlation effect on user perceived value; service quality has a significant positive correlation effect on user viscosity; perceived value has significant positive correlation effect on user viscosity; brand personality to user Viscosity has a significant positive correlation effect; brand personality has a significant positive correlation effect on user perceived value. Through this research, we can make Suggestions on the industrial development of mobile payment enterprises and provide better opinions on the development of mobile payment.

A Study on the Business Characteristics, and Online/Offline Food Hygiene Education Comparative Analysis of Rice Cake Producer in Korea (한국 떡류 영업자의 영업 특성 및 온·오프라인 식품위생교육 비교 분석에 관한 연구)

  • Lee, Hyeong Kook;Kim, Ji Yeon
    • Journal of Food Hygiene and Safety
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    • v.30 no.4
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    • pp.343-349
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    • 2015
  • A study survey about the rice cake producers completing the food hygiene education in Korea was investigated by characteristics of the rice cake business. The difference between their online and offline awareness of food hygiene education were compared. The average age of rice cake producers is 50 (40.1%), with a high school education (52.6%), 10-20 years of service (34.3%) showed the highest percentage. In relation to sales and work area, workshop personnel are engaged in two (79.5%), An area of less than $99.17m^2$ (92.0%), rent (60.2%) with most paying a monthly rental amount of less than 1 million won (54.8%). There were 228 accident cases in three years (an annual average of 2.4%), manufacturing, Processing the item number was less than 20 types of analysis (86.7%). Case of food hygiene education graduates are women, the lower the age, the higher the education level, was preferred online. Online education was chosen because of 'time, economic, convenience'(73.7%). Online graduates have recognized that health education is more conducive to business. There was no significant difference between the sales online and offline graduates. For hygienic management response was that online graduates are well above the 7.4% offline graduates. Online and offline graduates 60.7% appeared to be more satisfied than the previous training institutions.

A Survey on Recognition and Requirements of Mountain Village Visitors about the Introduction of Mountain Eco-tourism (산촌생태관광 도입에 관한 산촌방문객의 인식과 요구 조사)

  • Kim, Ye-Ji;Kim, Jong-Ho
    • Journal of Korean Society of Forest Science
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    • v.107 no.2
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    • pp.218-228
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    • 2018
  • This study was carried out to investigate the recognition and requirements of mountain eco-tourism by surveying mountain villages'visitors. As a feasibility study to introduce new eco-tourism policies, the individual interview survey was conducted from June 17, 2015 to September 17, 2015 targeting 439 visitors in 57 mountain villages, where the Korea Forest Service designated them as mountain eco-villages and the Ministry of Agriculture, Food and Rural Affairs has been operating the rural experience and recreation village business. As a result of the major analysis, the respondents'intention to participate in mountain eco-tourism was 3.65 by Likert 5-point-scale and the respondent's most preferred the number of visits was once a year(44.6%) or twice a year(30.1%). Also, the most preferred region was Gangwon-do(44.8%) and the average amount of expense willing to pay was 153,320 won. Lastly, the respondents said they expect development of regional tourism product(M=3.99) and mountain eco-tourism program(M=3.96) by requirements for mountain eco-tourism. This result shows that it is necessary to inspire public awareness regarding the value of mountain eco-tourism and to develop new policies or programs making people more attracted to mountain villages. Thus, it means that mountain eco-tourism can be utilized as a way to steer sustainable mountain village.

Physical Offset of UAVs Calibration Method for Multi-sensor Fusion (다중 센서 융합을 위한 무인항공기 물리 오프셋 검보정 방법)

  • Kim, Cheolwook;Lim, Pyeong-chae;Chi, Junhwa;Kim, Taejung;Rhee, Sooahm
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1125-1139
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    • 2022
  • In an unmanned aerial vehicles (UAVs) system, a physical offset can be existed between the global positioning system/inertial measurement unit (GPS/IMU) sensor and the observation sensor such as a hyperspectral sensor, and a lidar sensor. As a result of the physical offset, a misalignment between each image can be occurred along with a flight direction. In particular, in a case of multi-sensor system, an observation sensor has to be replaced regularly to equip another observation sensor, and then, a high cost should be paid to acquire a calibration parameter. In this study, we establish a precise sensor model equation to apply for a multiple sensor in common and propose an independent physical offset estimation method. The proposed method consists of 3 steps. Firstly, we define an appropriate rotation matrix for our system, and an initial sensor model equation for direct-georeferencing. Next, an observation equation for the physical offset estimation is established by extracting a corresponding point between a ground control point and the observed data from a sensor. Finally, the physical offset is estimated based on the observed data, and the precise sensor model equation is established by applying the estimated parameters to the initial sensor model equation. 4 region's datasets(Jeon-ju, Incheon, Alaska, Norway) with a different latitude, longitude were compared to analyze the effects of the calibration parameter. We confirmed that a misalignment between images were adjusted after applying for the physical offset in the sensor model equation. An absolute position accuracy was analyzed in the Incheon dataset, compared to a ground control point. For the hyperspectral image, root mean square error (RMSE) for X, Y direction was calculated for 0.12 m, and for the point cloud, RMSE was calculated for 0.03 m. Furthermore, a relative position accuracy for a specific point between the adjusted point cloud and the hyperspectral images were also analyzed for 0.07 m, so we confirmed that a precise data mapping is available for an observation without a ground control point through the proposed estimation method, and we also confirmed a possibility of multi-sensor fusion. From this study, we expect that a flexible multi-sensor platform system can be operated through the independent parameter estimation method with an economic cost saving.