• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.668-671
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• 2015

본인확인이란 적법하고 합당한 절차에 따라 합의된 사용자임을 증명하고 인증하는 과정을 의미한다. 본 연구에서는 본인확인서비스에서 본인임을 인증하는 다양한 수단들의 특징에서 살펴보고 대표적인 본인확인수단인 아이핀과 휴대폰 서비스의 인증절차 개선 방안을 제안한다. 제안한 방안을 통해 안전성이 강화된 본인확인서비스 제공과 이용이 가능할 것이다.

• 정보화사회
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• s.95
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• pp.54-59
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• 1995

정보통신기술의 발전으로 전자적인 자료.기록의 교환이 중요한 업무 수단으로 등장하고 있다. 컴퓨터와 통신기술의 결합을 통해 다양한 형태의 자료와 정보를 일방적 또는 쌍방적으로 신속하게 교환할 수 있게됨에 따라 전자적인 자료.기록의 교환은 종이문서를 대신하여 정보사회의 주요한 업무수단이 되고 있다. 전자문서교환(EDI), 전자우편(E mail), 파일전송(File Transfer), 데이터베이스 서비스 등이 정보통신기술을 이용한 대표적인 방식이다. 이 글에서는 이와 같이 정보통신 기술을 이용한 여러가지 업무처리 방법중에서 전자문서를 대상으로 하여 그 법적 효력의 인정과 관련한 문제들을 살펴보고자 한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.10a
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• pp.169-173
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• 2001

무인 운반차 등의 주행괘적을 검출하기 위해서는, 일반적으로 순간적인 주행속도와 진행방향을 축차적으로 검출하여 이로부터 궤적을 측정하는 방법이 이용되어져 왔으며, 이를 위하여 종래에는 타코미터, 2차 상관법, 공간 필터법 등과 같은 속도 계측 수단과 스티어링 각도 검출기, 자이로등의 회전각 검출 수단을 병용하여야 했다. 본 논문에서는 복수개의 광 선 검출기 군과 이에 대응하는 고차의 상관처리를 이용한 단일계로서 차량의 임의의 궤적을 원호로 근사하여 검출함으로써 곡선 궤적인 경우에도 고정도의 궤적추정이 가능한 새로운 계측법을 제안한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.181-184
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• 2000

전자상거래의 급격한 성장에 따라 인터넷이라는 광용 네트워크에서 보다 안전한 지불수단을 필요로 하게 되었다. 현재 SSL을 이용한 정보보호 방법과 SET를 이용한 지불 프로토콜이 표준화 및 상용화되어 있다. 그러나 SSL은 신용카드나 직불카드 번호와 같은 중요한 정보들이 사용자의 의지와 상관없이 여러 통로로 노출될 수 있으며 거래 당사자들의 인증수단이 취약하다는 단점이 있다. SET 역시 프로세스들이 복잡하고 비용 등에 부담을 주고 있다. 새로운 대안으로 SSL 기반에 특정한 상황에 SET으로 대체하는 것과 SSL에 인증기능을 강화하는 등의 새로운 연구들이 이루어지고 있다. 본 연구에서는 SET 프로토콜 기반의 새로운 지불 시스템을 제안한다.

• Journal of Korean Society of Transportation
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• v.30 no.1
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• pp.7-18
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• 2012

This study suggested a method of forecasting market-share of each mode after introducing new urban rail transit lines. The study reflected the observed market share of presently operating urban rail transit into forecasting process in order to improve accuracy in predicting market share of each modes. For more realistic representation of the forecasting model, we categorized O/D pairs according to attributes of trip distance, access time and number of transfers. The analysis results of traveler's mode choice behavior with observed data showed that the trip distances are longer, the share of urban rail tends to be higher, and that the number of transfers is fewer and the access times are lesser, the share of urban rail also tends to be higher. Then, incremental logit model was used in estimating mode choice probabilities for O/D pairs along with rail transit lines while utilizing observed market shares of each modes and differences in transit service level. As the next step, the market share of rail transit after introducing new rail transit lines was forecasted by using incremental logit model with the intial share values calculated the previous analysis step. It also reflected changes in level of service for automobile in highway due to changes in highway systems and changes in mode shares after introducing new lines of rail transit. It can be expected that the proposed method would more realistically duplicates phenomena of mode choice behavior for rail transit and that it would be more theoretically logical than the typical existing methods using SP data and incremental logit model or using addictive logit model in this country.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.163-171
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• 2012

Demand Responsive Transit (DRT) services are becoming necessary as part of not only alternative transportation means for elderly and mobility impaired passengers, but also sustainable and flexible transportation options in urban area due to the development of communication technologies and Location Based Services (LBS). It is difficult to investigate the system performance regarding vehicle operational schemes and vehicle routing algorithms due to the lack of commercial software to support door-to-door vehicle simulation for larger area. This study proposes a simulation framework to evaluate innovative and flexible transit systems focusing on various vehicle routing algorithms, which describes data-type requirements for simulating door-to-door service on demand. A simulation framework is applied to compare two vehicle dispatch algorithms, Nearest Vehicle Dispatch (NVD) and Insertion Heuristic (IH) for real-time shared-taxi service in Seoul. System productivity and efficiency of the shared-taxi service are investigated, comparing to the conventional taxi system.

• Journal of Korean Society of Transportation
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• v.29 no.6
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• pp.97-106
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• 2011

Mode choice model is an essential element for estimating- the demand of new means of transportation in the planning stage as well as in the establishment phase. In general, current demand analysis model developed for the mode choice analysis applies common parameters of utility function in each region which causes inaccuracy in forecasting mode choice behavior. Several critical problems from using common parameters are: a common parameter set can not reflect different distribution of coefficient for travel time and travel cost by different population. Consequently, the resulting model fails to accurately explain policy variables such as travel time and travel cost. In particular, the nonlinear logit model applied to aggregation data is vulnerable to the aggregation error. The purpose of this paper is to consider the regional characteristics by adopting the parameters fitted to each area, so as to reduce prediction errors and enhance accuracy of the resulting mode choice model. In order to estimate parameter of each area, this study used Household Travel Survey Data of Metropolitan Transportation Authority. For the verification of the model, the value of time by marginal rate of substitution is evaluated and statistical test for resulting coefficients is also carried out. In order to crosscheck the applicability and reliability of the model, changes in mode choice are analyzed when Seoul subway line 9 is newly opened and the results are compared with those from the existing model developed without considering the regional characteristics.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1730-1738
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• 2011

Personal Rapid Transit (PRT) has emerged as a promising alternative transportation mode for transit-oriented sustainable communities by creating compact and walkable environments with competitive construction and operational costs. This study seeks to capture the changes in travel mode choice behavior in response to the introduction of PRT to travelers who have no previous experience of using it. A critical issue in modeling the PRT mode choice is how to capture travelers' perception and evaluation of the unexperienced travel mode. The data used come from questionnaire surveys, in which RP (Revealed Preference) and SP (Stated Preference) data were collected in relation to travel mode choices with and without PRT systems. The questionnaire was designed especially for mitigating the potential bias in favor of or against choosing PRT. In addition, an efficient approach was proposed to reduce the number of SP questions by avoiding the complex fractional factorial design which tends to make it difficult for respondents to keep their attention throughout the survey. The analysis results show that the proposed approach is able to realistically capture the effects of explanatory variables on the travel mode choice. Discrete choice models are developed to predict travelers' mode choices under different choice scenarios by varying PRT system specifications and operational characteristics. PRT patronages are projected for two different test sites using the developed PRT mode choice models.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.147-157
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• 2013

This study developed the transit transfer mode choice model aimed Daegu transit users using multinomial logit model. Dependent variables of estimating multinomial logit model were transit transfer modes such as bus to bus, bus to subway, subway to subway, bus to others, and subway to others, and explanatory variables which affect transit transfer mode choice were sex, age, occupation, handicap, transfer area, purpose of travel and travel time. Also probability regarding explanatory variables was estimated using multinomial logit model and limit marginal analysis was carried out according to explanatory variables(cost, time). In the results, indicating goodness of fit is very reasonable as ${\rho}^2$=0.354. According to the result of marginal analysis for the selection of probability, when travel time is increased, users of bus to bus and bus to subway prefer to use subway to subway. Furthermore users of bus to bus and bus to subway prefer to use bus to others and subway to others when travel cost is increased in the result of marginal analysis for the selection of probability.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.21-32
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• 2021

Due to the recent development in electronic financial services, transactions of electronic prepayment are rapidly increasing. The increased transactions of electronic prepayment, however, also leads to the increased fraud attempts. It is mainly because electronic prepayment can easily be converted into cash. The objective of this paper is to develop a methodology that can effectively detect fraud transactions in electronic prepayment, by using sequential pattern mining techniques. To validate our approach, experiments on real transaction data were conducted and the applicability of the proposed method was demonstrated. As a result, the accuracy of the proposed method has been 95.6 percent, showing that the proposed method can effectively detect fraud transactions. The proposed method could be used to reduce the damage caused by the fraud attempts of electronic prepayment.