• 한국건설관리학회논문집
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• 제1권1호
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• pp.53-62
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• 2000

본 연구는 건설 프로젝트의 초기 단계에서 미래에 발생할 수 있는 리스크를 리스크분할체계를 통하여 파악하고, 파악된 리스크를 효과적이고 체계적으로 분석 및 평가하여 프로젝트 초기단계에서 리스크를 분석하고 평가할 수 있는 절차와 계산틀을 제시하였다. 그에 따라, 프로젝트 기획 및 입찰 전 단계에서 건설공사 이행과정에서 발생할 가능성이 있는 리스크를 분석 및 평가하기 위해 FREES(Fuzzy Risk Evaluation Expert System)을 제안하였으며 가상 시나리오를 설정하여 모델에 대한 검증을 수행하였다. FREES는 기존의 IF-THEN 지식베이스를 사용한 전문가 시스템과 비교했을 경우 퍼지소속함수를 사용함으로써 규칙의 수를 현저하게 줄일 수 있으며 지식베이스의 구축과 변경 및 삭제 등이 용이하기 때문에 시간의 변화에 따라 다양하게 변화하는 리스크의 크기나 영향정도를 쉽게 반영할 수 있다.

• 제어로봇시스템학회논문지
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• 제16권1호
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• pp.33-39
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• 2010

The interaction of emotion is an important factor in Human-Robot Interaction(HRI). This requires a contextual appraisal of emotion extracting the emotional information according to the events happened from past to present. In this paper an emotion appraisal system based on the cognitive context is presented. Firstly, a conventional emotion appraisal model is simplified to model a contextual emotion appraisal which defines the types of emotion appraisal, the target of the emotion induced from analyzing emotional verbs, and the transition of emotions in the context. We employ a language based cognitive system and its sentential memory and object descriptor to define the type and target of emotion and to evaluate the emotion varying with the process of time with the a priori emotional evaluation of targets. In a experimentation, we simulate the proposed emotion appraisal system with a scenario and show the feasibility of the system to HRI.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.1100-1118
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• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.

• 한국화재소방학회논문지
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• 제19권3호
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• pp.52-57
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• 2005

미분무수 소화시스템의 소화구조는 분무되는 물의 조건뿐만 아니라 방호대상 공간의 상태에도 의존하기 때문에 일반적인 설계기준을 마련 할 수 없는 실정이다. 따라서 보편적인 성능평가 방법도 있을 수 없기 때문에 방호 대상물과 공간이 결정되면 그에 적절한 성능평가 기준이 마련되어야 한다. 본 연구에서는 변전소 주변압기실에 미분무수 소화시스템을 적용하기 위하여 성능평가 기준을 제안하고자 한다. 이를 위하여 유사 화재사례 조사, 사고 분석, 유사 성능평가기준 분석 등을 수행하였다.

• 자동차안전학회지
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• 제9권1호
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• pp.19-24
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• 2017

This paper present a performance evaluation scenarios to assess the safety performance of autonomous emergency braking (AEB) system for cyclist collision. To guarantee the safety performance of AEB for cyclist, AEB system should be tested in various scenarios which can be occurred in real driving condition. For this, real-traffic car-to-cyclist collision data are analyzed to classify the real traffic collision scenarios. Using this information, typical car-to-cyclist collision scenarios are selected. Also, in order to develop the detail features of these collision scenarios, several accident cases related with these scenarios are explained. Based on these information, test scenarios which can describe the car-to-cyclist collisions occurred in Korea are proposed. For practicality and feasibility of the test scenarios, proposed scenarios should be designed to assess the safety performance of AEB system effectively. For this, some test scenarios are combined or removed based on the consideration about the effectiveness of each scenario to the assessment of the performance of AEB system. To confirm that the proposed test scenarios are realistic and physically meaningful, simulation is conducted using simple AEB system in proposed test scenarios.

• 자동차안전학회지
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• 제14권2호
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• pp.57-69
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• 2022

Recently, as interest in self-driving cars has increased worldwide, research and development on the Advanced Driver Assist System is actively underway. Among them, the purpose of Adaptive Cruise Control (ACC) is to minimize the driver's driving fatigue through the control of the vehicle's longitudinal speed and relative distance. In this study, for the research of the ACC test in the real environment, the real-road test was conducted based on domestic-road test scenario proposed in preceding study, considering ISO 15622 test method. In this case, the distance measurement method using the dual camera was verified by comparing and analyzing the result of using the dual camera and the result of using the measurement equipment. As a result of the comparison, two results could be derived. First, the relative distance after stabilizing the ACC was compared. As a result of the comparison, it was found that the minimum error rate was 0.251% in the first test of scenario 8 and the maximum error rate was 4.202% in the third test of scenario 9. Second, the result of the same time was compared. As a result of the comparison, it was found that the minimum error rate was 0.000% in the second test of scenario 10 and the maximum error rate was 9.945% in the second test of scenario 1. However, the average error rate for all scenarios was within 3%. It was determined that the representative cause of the maximum error occurred in the dual camera installed in the test vehicle. There were problems such as shaking caused by road surface vibration and air resistance during driving, changes in ambient brightness, and the process of focusing the video. Accordingly, it was determined that the result of calculating the distance to the preceding vehicle in the image where the problem occurred was incorrect. In the development stage of ADAS such as ACC, it is judged that only dual cameras can reduce the cost burden according to the above derivation of test results.

• 인터넷정보학회논문지
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• 제13권5호
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• pp.21-31
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• 2012

정보 기술의 발전과 더불어 전장상황에서도 정보 시스템들의 고도화가 이루어짐으로써 적기에 대한 정보 획득 및 상황분석은 전장상황에서 주요한 요소가 되었다. 전장상황 분석의 핵심 요소인 위협평가는 피아식별을 통해 식별된 항공 정보를 가지고 해당 상황에 대한 위협치를 평가하여 무기할당에 정보를 제공하는 기술로써, 전장상황의 어느 단계 보다 확실한 정보를 요구하는 단계이다. 전장상황에서 대부분의 위협평가 데이터들은 감지된 센서 값에 의해 연산되어 전달되는데, 기존의 기법들에서 발생할 수 있는 센서 데이터들의 잘못된 연관관계 표현 및 데이터 누락은 전장상황에서의 의사결정에 혼란을 야기 시킬 수 있다. 따라서 각종 센서 데이터들의 연관 관계를 올바르게 정의하고, 센서데이터 누락에 따른 예측 불가능한 전투상황에 대한 신뢰도 높은 위협치 연산 알고리즘을 이용하는 효율적인 의사결정 위협평가 시스템이 필요하다. 본 논문에서는 JDL 정보 융합 모델을 기반으로 애매모호한 관계성을 표현하는데 유리한 퍼지 이론, 데이터 습득의 불확실한 전장상황에서 위협치를 추론하고 상황에 대한 학습이 가능한 베이지안 네트워크를 하이브리드하여 새로운 위협평가 방법을 제안한다. 또, 제안된 방법을 이용하여 가상의 전장 시나리오에 따른 위협평가 결과를 보였다.

• 한국CDE학회논문집
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• 제18권3호
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• pp.211-223
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• 2013

Today's ever-increasingly competitive shipbuilding market makes it essential for a shipbuilding company to have more efficient production processes and higher productivity as well as better design ability to obtain its competitiveness. A well-established production execution schedule plays an indispensable role to achieve this goal. Most shipbuilding companies carry out an evaluation on their mid-term plan once it is established. However, no evaluation activity exists for a production execution schedule, because practically all the companies depend on the field workers for the production execution scheduling. In this study, a prototype of a ship production execution schedule evaluation system is developed based on the component based design (CBD) methodology. This system enables one to make a production execution schedule that reflects up-to-date shipyard situation and to validate whether the schedule is feasible or not by running a production simulation according to the schedule. Users can also make use of the system as a decision supporting tool that compares several different execution schedules and evaluates which one is the best execution schedule.

• Korean Chemical Engineering Research
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• 제53권2호
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• pp.164-173
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• 2015

본 연구에서는 다양한 도로운송부문용 에너지 공급 시스템을 구축하고 각 시나리오의 최적 비용을 비교분석하였다. 에너지 공급 시스템의 구성요소로써 기존의 정유공정, 부생수소 시스템, 신재생 에너지 자원 기반의 전력 생산공정, 전력운송을 위한 전력망을 설정하였으며, 내연기관자동차, 전기자동차, 연료전지자동차 등 세 가지의 도로운송부문용 자동차를 포함하였다. 이러한 구성요소를 포함한 다양한 에너지 공급 시스템 시나리오를 기반으로 최적 생애주기비용을 규명할 수 있는 에너지 시스템 평가모델을 개발하였다. 본 연구에서 개발한 최적화 모델을 제주도 지역에 적용함으로써 모델의 성능을 검증하였고 또한 제주도 지역의 에너지 시스템 구축에 관한 다양한 시나리오의 경제성을 분석하였다. 제주도 도로운송부문용 에너지 공급 시스템의 생애주기비용 분석 결과, 전력망을 이용하여 전기를 공급하는 전기자동차 시나리오가 상대적으로 가장 높은 경제성을 보였으며, 신재생 에너지 자원을 이용하여 수소를 공급하는 연료전지자동차 시나리오가 가장 낮은 경제성을 보였다. 또한 연료비용, 차량비용, 인프라비용, 유지비용 등 주요 비용 관련 변수들에 관한 민감도분석을 수행함으로써 생애주기비용의 변화에 주요한 구성요소들을 규명하였다.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제51권6호
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• pp.298-306
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• 2002

We performed an safety evaluation on constructing of a common grounding system for electrical railway in view of its efficacy and technical fit. In order to compare the conventional grounding method, which has been individually conducted, with the common grounding with all ground wires connected in common to the counterpoise buried below the surface of the earth in parallel with rail, we set up scenarios with several cases of fault and load conditions in Chungbuk railway sections with the common grounding system. Based on models for railway conductors including the grounded system, line Parameters of railway power system are computed. The circuit model for power system with up and down lines, auto-transformers and railway substations is used to compute impedances of counterpoise and substation ground net. For each scenario with faults and operation conditions of railway, the induced potentials on signal and communication lines are also computed. It is shown that the common grounding for Chungbuk railway is superior experimentally to the conventional method in three respects: (1) the lower rail potentials during operation of railway in line, (2) the lower rail potentials for short-circuit faults between catenary and rail, and (3) the lower stress voltages on signal and communication lines for short-circuit or ground faults. The analysis results confirm that the grounding system for electric railway is required to be built by the common grounding and be evaluated on its safety in design.