• Journal of Digital Convergence
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• v.11 no.12
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• pp.29-40
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• 2013

This study analyzed that adjustment roles of the organization and Information System strategy suitability factors between influence and introduction outcome factors in the IT outsourcing in government offices. Influence factors of IT outsourcing are organization factor(information system maturity, CEO's support), trade factor(asset speciality, uncertainty, using degree of information system), risk factor(risk of security, risk of increase in cost, risk of losing autonomy). And outcome factors are set as economic effect and technology effect. We analyzed that organization and IS strategy suitability factors as moderator variables. Results are the followings. It was analyzed that organization and IS strategy suitability factors are in charge of adjusting role among information system maturity which is lower variable of organization factor, CEO's support, uncertainty of trade factor's lower variable, risk of security which is risk factor's lower variable, risk of increase in cost, loss of autonomy. Therefore, in order for organization to increase the outcome of information technology, organization strategy and IS strategy should be promoted in combined manner. However, it was analyzed that strategy suitability could not take the adjusting role between asset specialty and introduction outcome.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.55-66
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• 2020

This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.152-166
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• 2022

This study analyzed the causal relationship among operating characteristics of commercial freight vehicles, dangerous driving behaviors, and traffic accident risk. The study applied the existing accident cause and prevention theory to arrive at this relationship. Data related to working characteristics of driver, driving experience, driving ability, driving psychology, vehicle characteristics (size), dangerous driving behavior, and traffic accidents were collected from 303 commercial freight vehicle drivers. Working characteristics and dangerous driving behavior data are based on the driver's digital driving record. The traffic accident data is based on the insurance accident data reflecting actual traffic accidents. First, a structural equation model was built and verified using the model fitness index. Then, the developed model was used to analyze the causal relationship between multiple independent and dependent variables simultaneously. Four dangerous driving behaviors (sudden deceleration, sudden acceleration, sudden passing, and sudden stop) were found to be highly related to traffic accidents. The results further indicate that it is necessary to establish a safety management policy and intensive management for small-sized freight vehicles, drivers with insufficient driving ability, and drivers with dangerous driving behaviors. Such policy and management are expected to reduce traffic accidents effectively.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.569-584
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• 2022

This study can be helpful in establishing and establishing company-wide marketing strategies from the supplier's point of view by analyzing the effects of rental service users' risk perception and service quality on customers' re-use intentions, and revealing differences according to demographic characteristics. It was intended to provide valid results. A total of 218 data were used as analysis data. Frequency, factor, mean, reliability and regression analysis, ANOVA, and t-test were performed through SPSS program (statistics). As a result of the study, first, as a result of analyzing the effect of risk perception on rental service quality, functional and psychological risks have a negative (-) effect on service quality. Second, in the relationship between service quality and re-use intention, the empathy factor has a high positive (+) effect, and as a result of analyzing the effect of risk perception on re-use intention, functional and psychological risk have the greatest influence, and financial Risk perception was also highly influential. In conclusion, the research results suggest that increasing the concentration of marketing strategies by reducing the negative (-) effect related to risk perception for short-term customers and housewives and enhancing the reliability and empathy for service quality can maximize the sales of suppliers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.301-303
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• 2015

디지털 운행기록장치는 대한민국의 경우 2011년부터 상용차에 대해 법령으로 장착이 의무화되었다. 이 장치는 자동차의 속도, 주행거리, 브레이크 상태, GPS 위지청보 등을 수집하는 기록 장치로서 이를 통해 수집된 정보로 운전 형태를 파악하고 분석해준다. 그러나 초기 장치 구입비용과 전송 방식에 따른 월별 통신서비스 비용 때문에 일반 운전자의 사용이 제한된다. 따라서 본 연구는 일반 운전자도 위험운전행동을 분석하고 파악하여, 결과를 제공하는 스마트폰 어플리케이션의 설계 및 구현을 목적으로 한다. ECU(Electronic Control Unit)에서 얻을 수 있는 주행 데이터(가속 제동, 속도, 운전 시간 등)를 OBD-II(On-Board Diagnostic version II) Scanner를 통해 수집한다. 이 정보를 바탕으로 위험운전평가 알고리즘을 이용하여 실시간 분석한다. 상기 알고리즘은 대한민국의 교통안전공단에서 제공하는 위험운전(11종)에 대한 정의를 바탕으로 한다. 이를 통해 분석된 결과는 실시간으로 사용자에게 제공되며, SQLite를 이용하여 DB에 저장되고 통신사의 이동통신(3G,4G) 혹은 Wifi의 네트워크를 이용하여 연계 서버에 전송된다. 이 위험 운전 분석 어플리케이션을 통해 운전자들의 안전 운전을 유도하고자하며, 추후 운전습관 연계 보험의 도입에 따라 합리적이고 공정한 데이터를 제공하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.215-217
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• 2019

해양산업의 디지털라이제이션은 자율운항선박이라는 새로운 형식의 선박이 출현하게 하였다. 현재의 규정은 새로운 기술을 적용하는 유연성을 제한하고 있어 새로운 규정개발을 통해 새로운 기술을 적용을 장려하고 그 기술에 대한 위험요소를 줄일 필요가 있다. 국제해사기구(IMO)에서는 자율운항선박운항을 방해하는 규정을 식별하는 규정식별작업을 착수하여 새로운 규정개발의 시작을 알렸다. 이 연구에서는 자율운항선박의 국내외 기술개발과 규정개발 동향을 분석하고 우리가 대응해야할 방안을 제시한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.117-130
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• 2017

Bicycles are leading to serious accidents in the event of a side collision, and it is very important to prevent accidents in advance because it is difficult to actively deal with them in a dangerous situation. As a part of the bicycle safety driving support technology, this study establishes bicycle accidents dangerous zone based on bicycle accident data and road property information of digital map nationwide and provides timely safety information to cyclists. The point selected by using actual accident data was called 'dangerous zone', and the potential accident occurrence point generated by modeling based on this 'dangerous zone' was called 'logical dangerous zone'. As a result of the research on the Designation of Logical Bicycle Accident Dangerous Zone, the regional specificity of the bicycle accident points across the nation was generalized to the form of the logical dangerous zone through the network data.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.415-421
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• 2012

The purposes of this thesis are to grasp the aspect of injuries by violence which is the recent social issue, analyze the relationship with socioeconomic factors and provide it as the basic material of policy development and prevention. With the specimen in-depth investigation materials of injured patients of emergency room which is injuries examination system based on medical institution, this thesis compared injuries by violence with aspect of other injuries and conducted logistic regression analysis after controlling gender, age, educational level and occupation mutually. Women showed more danger to be exposed to injuries by violence than men. The less the age was, the more danger by violence was. The more academic background was, the less rate to be exposed to violence was. For occupations, there were dangerous in order of service workers, shop and market sales workers, unemployed, elementary occupations. In conclusion, Some differences of socioeconomic factors made an effect on the danger of injuries by violence victim.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.183-191
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• 2014

SNS uses the Internet as its base. It is created in order to achieve communication between the users. Up until now, most previous research were focused on the users of SNS. But, there are still a great deal of people who do not use or discontinuously use SNS. This is because users have natural resistance against SNS when using the service. In this study, time shortage perception, awareness of SNS, self-efficacy, suitability, information quality of SNS, subjective norm and privacy concern are considered as influence factors by previous research. An empirical study for Chinese students and internet users was conducted to identify how these factors influence perceived risk and perceived usefulness, and how this influence to user's resistance. This study can explain the reason why users don't use SNS and resist SNS use.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.251-259
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• 2018

This study aimed to identify the risk factors for cardiovascular disease (CVD) among age groups using the Framingham risk score (FRS). The research design used was a cross sectional descriptive study using the Sixth Korean National Health and Nutrition Examination Survey from 2013-2015. Data from 5211 men, between the ages of 30-74 was analyzed. After adjusting for age, the result of logistic regression analysis showed that obesity (OR=2.51 95% CI=2.05-3.07), physical inactivity (OR=1.71, 95% CI=1.39-2.10), heavy alcohol drinking (OR=1.33, 95% CI=1.09-1.62), and dietary fiber intake (OR=0.99, 95% CI=0.98-0.99) were presented as predictors of CVD. Obesity was considered to be a particularly important predictor of CVD for young and middle-aged men. This result will be used for developing intervention relating to lifestyle modification for young and middle-aged men.