• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.166-172
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• 2022

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.119-125
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• 2023

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• Knowledge Management Research
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• v.24 no.4
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• pp.131-152
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• 2023

One of the key domains within a smart tourism city, smart mobility, encompasses advanced transportation means and services rooted in Information and Communication Technology (ICT). This includes shared bicycles, scooters, car-sharing services, smart transportation infrastructure, and more, aiming to surpass limitations of conventional transport and improve the movement of people and goods. It also serves tourists as an affordable and convenient mode of transport between attractions while also enhancing the overall travel experience. This study has defined 'smart tourism mobility' as a form of mobility grounded in ICT, exhibiting exceptional connectivity, serving public interest, and serving as a mode of transport for both residents and tourists in a smart tourism city. The research aimed to outline the scope of smart tourism mobility-related industries through expert Delphi surveys and estimate their economic effects within a smart tourism city. Specifically, this study updated 2015 input-output table and made 2020 regional input-output table of Seoul adopting RAS method and location quotient method. The results showed that the about 2.8 billion KRW investment of Seoul in smart tourism mobility may create more than 4.1 billion KRW in production inducement effect which is expected to create more than 1.6 billion KRW of income-inducing effect, 3.6 billion KRW of value-added-inducing effect, and 54 employment across all industries in Seoul in 2022.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.201-214
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• 2016

The main purpose of this paper was to review how luxury value is related to the consumer's conspicuous consumption and purchasing intention. The author formed luxury value which is including financial, functional, social, and individual value. In order to obtain the research results, the author conducted a survey and implemented statistical treatments. The results can be proposed as follows: First, financial, functional, social, and individual value was positively influencing on conspicuous consumption. Second, conspicuous consumption was impacting on intention to purchase. Third, it was suggested that the relative effect of individual value on conspicuous consumption was greater than other values. Thus it was concluded that consumers put a high value on conspicuous consumption.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4D
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• pp.519-526
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• 2011

In this study, the characteristics of transfer station are analyzed using the data of public transportation. The traffic card of Daegu does not include boarding information. The boarding data are calculated using traffic card data and the BMS data. It is found that transfer has increased by the distance from CBD and the numbers of routes, and decresed by the waiting time. Oneway ANNOVA are carried out to find the optimal number of clusters. Three clusters are chosen in this study. The center of the first cluster shows 2.99, so it has a characteristic of CBD. The second is 6.73, the outskirts of town, and the third is 12.78, the outlying areas.

• International Journal of Highway Engineering
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• v.18 no.6
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• pp.51-59
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• 2016

OBJECTIVES : The objective of this study is to estimate the appropriate storage required for deicing materials in Gangwon-do for successful snow removal operations during the 2018 Pyeongchang Winter Olympic Games. The final estimates of the deicing chemicals can be used by public agencies to aid decision making. METHODS : First, the database that exists in the road snow-removal management system (RSMS) of the Ministry of Land, Infrastructure, and Transport, South Korea was used to determine historical characteristics of snow removal experiences in Gangwon-do. The database includes historical information, including regional and road weather data and number of snow-removal works. Second, both the maximum and the actual amount of storages used for deicing materials in the past three years were analyzed. Lastly, the final estimates of the deicing materials were evaluated using an additional equation. It considers frequency of salt spray application, total administrative road length estimated by road agencies, and number of days required for snow removal works in Gangwon-do. Consequently, the results show that significant differences were not observed between the final estimates and the maximum amount used during the past three years. RESULTS : The final estimates of the deicing materials are almost similar to the maximum amount used during the past three years in Gangwon-do. CONCLUSIONS : The study shows that the estimates of deicing chemicals can be useful when decision making is required for the snow-removal policy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.213-222
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• 2012

After enforcing 2007 semi-public management system of intra-city bus, Busan city has tried to promote the bus utilization through bus service improvements. As an effort for this, we attempted to clarify the main factors affecting to bus service satisfaction targeting intra-city bus users. In this study, 20 subcategories of intra-city bus service were assorted into 6 factors: Basic Service, Safe Driving, Route Information, Comfort, Cleanliness and Facilities, then the preference for each detailed bus service were analyzed. And the effects for bus service satisfaction were shown under the various conditions according to the general characteristics of intra-city bus users (gender, age), behavioral traffic characteristics (frequency of use, boarding time) and transportation environments (temperature, rainfall). These results would be important basic data for decision-making in bus policy for climate change and establishment of operating plan for bus utilization.

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.2
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• pp.255-263
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• 2016

Lane Keeping Assistance System (LKAS) is a kind of Advanced Driver Assistance Systems (ADAS) which are developed to automate/ adapt/ enhance vehicle systems for safety and better driving. The main system function of LKAS is to support the driver in keeping the vehicle within the current lane. LKAS acquires information on the position of the vehicle within the lane and, when required, sends commands to actuators to influence the lateral movement of the vehicle. Recently, the vehicles equipped with LKAS are commercially available in a few vehicle-advanced countries and the installation of LKAS increases for safety enhancement. The test procedures for LKAS evaluations are being discussed and developed in the international committees such as ISO (the International Organization for Standardization) and UNECE (United Nations Economic Commission for Europe). In Korea, the evaluations of LKAS for vehicle safety are planned to be introduced in 2016 KNCAP (Korean New Car Assessment Program). Therefore, the test procedures of LKAS suitable for domestic road and traffic conditions, which accommodate international standards, should be developed. In this paper, some bullet points of the test procedures for LKAS are discussed and proposed by extensive researches of previous documents and reports, which are released in public in regard to lateral test procedures including LKAS and Lane Departure Warning System (LDWS). And then, to evaluate the validity of the proposed test procedures, a series of experiments were conducted using commercially available two vehicles equipped with LKAS. Later, it can be helpful to make a draft considering domestic traffic situations for test procedures of LKAS.

• Journal of Preventive Medicine and Public Health
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• v.23 no.2 s.30
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• pp.207-215
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• 1990

In order to investigate the occurrence characteristics of cancer in terms of industry in Kwangju-Chonnam area, medical utilization records of industrial medical insurance corporations during the period of 1987 to 1988 were reviewed for the identification of neoplastic disease. The cases obtained from the medical records were followed up for the verification and to get additional information. Standardized incidence data were compared by occupational characteristics. Multiple logistic regression analysis was applied to analyze the difference of incidence or distribution of cancer as a whole or of some selected cancer. Total cases of cancer identified were 242 during the study period. Annual incidence rate was calculated as 123.1 per 100,000 person. The frequent types of cancer were cancers of stomach, liver, lung, colon and rectum, bladder and lymphoma in descending order. Employees of mine and other sand handling industries showed significantly higher risks for cancer of stomach and cancer as a whole. Employees of the transportation industry showed the higher risk for cancer of liver, Workers in small-sized industry (${\leqq}100$) had a higher risk for cancer than who in large-sized industry (<100). These findings suggested the effect of occupational environmental exposure to cancer development.

• Journal of Service Research and Studies
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• v.6 no.4
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• pp.1-13
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• 2016

Emotional labor may lead to service failure in service industries. Managers of an organization or a company can contribute to service recovery by reducing stress related to emotional labor. The aim of this study is to identify the antecedents and consequences of service recovery in respect of emotional labor. Data was surveyed from frontline employees to achieve the research purpose. The hypotheses were examined empirically using statistical tools. Results are as follows. First, surface acting had a negative impact on service recovery performance and deep acting had a positive impact. Second, empowerment and motivation had an influential relationship positively on service recovery performance. Third, service recovery performance was negatively related to intention to quit. In conclusion, managing employees' emotional labor strategies and work environment will bring high service recovery performance and low intention to quit.