• 한국식품영양과학회지
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• 제43권8호
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• pp.1304-1316
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• 2014

본 연구는 음료 651건 및 액상차 87건의 인공감미료 실측치(아스파탐, 아세설팜칼륨 및 수크랄로스)와 제4기 국민건강 영양조사 중 영양조사의 섭취량을 이용하여 단위 체중당 비알콜성음료 섭취량이 가장 높았던 1~19세의 어린이 및 청소년을 대상으로 비알콜성음료를 통한 인공감미료의 추정식이섭취량(estimated daily intake, EDI)을 산출하여 평가하였다. 비알콜성음료의 섭취량은 어린이 및 청소년 6,082명 전체의 비알콜성음료의 평균소비자(average consumer)와 극단소비자(extreme consumer)의 섭취량을 파악하기 위하여 평균, 95 percentile 및 분포를 적용한 경우(시나리오 I)와 비알콜성음료를 섭취한 어린이와 청소년 1,074명의 섭취량 평균, 95 percentile 및 분포를 적용한 경우(시나리오 II)로 나누어 살펴보았다. 음료에 함유된 인공감미료의 건강 위해성 평가는 추정식이섭취량과 FAO/WHO에서 설정한 일일섭취허용량(acceptable daily intake, ADI)인 아스파탐 40 mg/kg bw/day, 아세설팜칼륨 15 mg/kg bw/day, 수크랄로스 15 mg/kg bw/day 값을 비교하여 %ADI로 평가를 하였다. 인공감미료의 인체노출량 계산에 필요한 몸무게는 국민건강영양조사 검진조사 자료를 이용하였다. 이때 위해도 평가방법은 평균과 95th percentile을 이용하는 단일값평가와 각 변수의 확률밀도함수(probabilistic density functions, PDFs)를 이용한 Monte Carlo simulation을 실시하여 확률평가를 하였다. 연구 결과를 요약하면 인공감미료는 아스파탐, 아세설탐칼륨, 수크랄로스가 평균 $3.21{\pm}28.36mg/kg$(ND~342.00 mg/kg, 검출률 1.4%), $1.94{\pm}12.55mg/kg$(ND~160.00 mg/kg, 검출률 4.5%), $6.18{\pm}23.27mg/kg$(ND~290.00 mg/kg, 검출률 10.8%) 함유되어 있었다. 또한 비알콜성음료에 함유된 인공감미료 중 아스파탐은 Min Extreme 분포, 아세설팜칼륨은 Logistic 분포, 수크랄로스는 Student's t 분포를 나타냈다. 비알콜성음료 섭취량은 어린이와 청소년 전체를 대상으로 한 시나리오 I에서는 대부분 Logistic 분포를 나타내었으나, 특히 소비자 집단만을 고려한 시나리오 II 경우에는 왼쪽으로 기울어진 Max Extreme 분포가 되었다. 체중은 시나리오 I이 Logistic 분포, 시나리오 II는 Beta 분포를 나타내었다. 그리고 시나리오 I에서 확률평가한 아스파탐, 아세설팜칼륨, 수크랄로스의 평균 추정식이섭취량은 각각 0.09, 0.01, 0.04 mg/kg bw/day였으며, 95th percentile 추정식이섭취량은 각각 0.30, 0.02, 0.13 mg/kg bw/day였다. 확률평가한 아스파탐, 아세설팜칼륨, 수크랄로스의 평균 %ADI는 각각 0.22, 0.04, 0.24이었고, 확률평가한 95th percentile %ADI는 각각 0.75, 0.13, 0.83으로 안전한 수준이었다. 시나리오 II에서 확률평가한 아스파탐, 아세설팜칼륨, 수크랄로스의 평균 추정식이섭취량은 각각 0.52, 0.03, 0.22 mg/kg bw/day였으며, 95th percentile 추정식이섭취량은 각각 1.80, 0.12, 0.75 mg/kg bw/day였다. 확률평가한 아스파탐, 아세설팜칼륨, 수크랄로스의 평균 %ADI는 각각 1.32, 0.22, 1.44였고, 확률평가한 95th percentile %ADI는 4.52, 0.80, 5.06으로 나타났다. 즉 비알콜성음료 섭취를 통한 인공감미료 중 아스파탐, 아세설팜칼륨, 수크랄로스의 노출수준은 일일섭취허용량(ADI)을 초과하는 인구집단은 없는 것으로 나타났으며, 시나리오 I II에서 아스파탐, 아세설팜칼륨, 수크랄로스의 평균 및 95th percentile %ADI는 모두 5.06이내로 낮은 수준이었다. 한편 섭취자군 중 인공감미료에서 검출률이 가장 높았던 수크랄로스의 경우 %ADI가 10 이상일 확률이 2.2%였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.2005-2010
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• 2004

As robots become more prevalent in human daily life, situations requiring interaction between humans and robots will occur more frequently. Therefore, human-robot interaction (HRI) is becoming increasingly important. Although robotics researchers have made many technical developments in their field, intuitive and easy ways for most common users to interact with robots are still lacking. This paper introduces a new approach to enhance human-robot interaction using a semantic symbol language and proposes a method to acquire the intentions of robot users. In the proposed approach, each semantic symbol represents knowledge about either the environment or an action that a robot can perform. Users'intentions are expressed by symbolized multimodal information. To interpret a users'command, a probabilistic approach is used, which is appropriate for interpreting a freestyle user expression or insufficient input information. Therefore, a first-order Markov model is constructed as a probabilistic model, and a questionnaire is conducted to obtain state transition probabilities for this Markov model. Finally, we evaluated our model to show how well it interprets users'commands.

• 한국군사과학기술학회지
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• 제16권3호
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• pp.332-339
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• 2013

The network nodes in a tactical network moves continuously and due to the physical and electronic obstacles, the connections are not always available. Due to the frequent disconnections, it is hard to discover the path among the nodes in a DTN. According to PROPHET(Probabilistic Routing Protocol using History of Encounters and Transitivity), one of the most well-known DTN routing protocols, a DTN node determines whom to forward a packet according to the packet delivery probability. From the viewpoint of a node, the packet delivery probability of another node is degraded while the nodes are disconnected whereas it is improved when they encounter. In this paper, we enhance the algorithm estimating the packet probability by considering the encounter count as an additional parameter. Our algorithm prefers the node that encounters the destination more frequently in selecting the next hop toward the destination. We evaluated the performance of our algorithm by simulating military operations using a DTN-dedicated simulator. Through the simulations, we show that our proposed algorithm achieve higher packet delivery ratio with similar overhead compared with PROPHET.

• KIEE International Transactions on Power Engineering
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• 제2A권3호
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• pp.95-101
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• 2002

This paper illustrates a new fuzzy effective load model for probabilistic and fuzzy production cost simulation of the load point of the composite power system. A model for reliability evaluation of a transmission system using the fuzzy set theory is proposed for considering the flexibility or ambiguity of capacity limitation and overload of transmission lines, which are subjective matter characteristics. A conventional probabilistic approach was also used to model the uncertainties related to the objective matters for forced outage rates of generators and transmission lines in the new model. The methodology is formulated in order to consider the flexibility or ambiguity of load forecasting as well as capacity limitation and overload of transmission lines. It is expected that the Fuzzy CMELDC (CoMposite power system Effective Load Duration Curve) proposed in this study will provide some solutions to many problems based on nodal and decentralized operation and control of an electric power systems in a competitive environment in the future. The characteristics of this new model are illustrated by some case studies of a very simple test system.

• 한국군사과학기술학회지
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• 제23권3호
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• pp.204-212
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• 2020

For general target tracking works by receiving a set of measurements from sensor. However, if the SNR(Signal to Noise Ratio) is low due to small RCS(Radar Cross Section), caused by remote small targets, the target's information can be lost during signal processing. TBD(Track Before Detect) is an algorithm that performs target tracking without threshold for detection. That is, all sensor data is sent to the tracking system, which prevents the loss of the target's information by thresholding the signal intensity. On the other hand, using all sensor data inevitably leads to computational problems that can severely limit the application. In this paper, we propose an iterative Joint Integrated Probabilistic Data Association as a practical target tracking technique suitable for a low SNR multi-target environment with real time operation capability, and verify its performance through simulation studies.

• 한국물환경학회지
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• 제26권5호
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• pp.740-746
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• 2010

Rainwater has been used in many countries as a way of minimizing water availability problems. Rainwater harvesting system (RHS) has been successfully implemented as alternative water supply sources even in Korea. Although RHS is an effective alternative to water supply, its efficiency is often heavily influenced by temporal distribution of rainfall. Since natural precipitation is a random process and has probabilistic characteristics, it will be more appropriate to describe these probabilistic features of rainfall and its relationship with design storage capacity as well as supply deficit of RHS. This study presents the methodology to establish the relationships between storage capacities and deficit rates using probability distributions. In this study, the real three-story building was considered and nine scenaries were developed because the daily water usage pattern of the study one was not identified. GEV, Gumbel and the generalized logistic distribution ware selected according to the results of Kolmogorov-Smirnov test and Chi-Squared test. As a result, a set of curves describing the relationships under different exceedance probabilities were generated as references to RHS storage design. In case of the study building, the deficit rate becomes larger as return period increases and will not increase any more if the storage capacity becomes the appropriate quantity. The uncertainties between design storage and the deficit can be more understood through this study on the probabilistic relationships between storage capacities and deficit rates.

• 한국물환경학회지
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• 제22권6호
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• pp.1068-1074
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• 2006

For receiving water quality protection a control systems of urban drainage for CSOs reduction is needed. Examples in combined sewer systems include downstream storage facilities that detain runoff during periods of high flow and allow the detained water to be conveyed by an interceptor sewer to a centralized treatment plant during periods of low flow. The design of such facilities as storm-water detention storage is highly dependant on the temporal variability of storage capacity available as well as the infiltration capacity of soil and recovery of depression storage. For the continuous long-term analysis of urban drainage system this study used analytical probabilistic model based on derived probability distribution theory. As an alternative to the modeling of urban drainage system for planning or screening level analysis of runoff control alternatives, this model has evolved that offers much ease and flexibility in terms of computation while considering long-term meteorology. This study presented rainfall and runoff characteristics of the subject area using analytical probabilistic model. Runoff characteristics manifested the unique characteristics of the subject area with the infiltration capacity of soil and recovery of depression storage and was examined appropriately by sensitivity analysis. This study presented the average annual CSOs, number of CSOs and event mean CSOs for the decision of storage volume.

• 한국항해항만학회지
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• 제31권5호
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• pp.361-368
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• 2007

장치공간 소요량은 컨테이너터미널의 장치능력을 결정짓는 매우 중요한 의사결정 변수이다. 일반적으로 장치공간 소요량은 모선의 배선간격, 장치허용기간, 본선작업시간 등 여러 요인들에 좌우된다. 그러나 지금까지는 이들 요인이 확정적이라는 가정 하에 다양한 방법들을 장치공간 소요량 산정에 적용해왔다. 본 연구는 본선작업 물량이 확률적인 것으로 가정하고 요구된 서비스수준을 만족시키는 장치공간 소요량의 산정 방법을 제시했다. 시뮬레이션을 이용한 수치실험은 제시된 방법이 다른 방법들에 비해 확률적 상황에서 더욱 정확한 장치공간 소요량을 산정할 수 있음을 보여주었다.

• 한국물환경학회지
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• 제23권4호
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• pp.490-497
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• 2007

A Combined sewer overflows (CSOs) are themselves a significant source of water pollution. Therefore, the control of urban drainage for CSOs reduction and receiving water quality protection is needed. Examples in combined sewer systems include downstream storage facilities that detain runoff during periods of high flow and allow the detained water to be conveyed by an interceptor sewer to a centralized treatment plant during periods of low flow. The design of such facilities as stormwater detention storage is highly dependant on the temporal variability of storage capacity available (which is influenced by the duration of interevent dry periods) as well as the infiltration capacity of soil and recovery of depression storage. As a result, a continuous approach is required to adequately size such facilities. This study for the continuous long-term analysis of urban drainage system used analytical probabilistic model based on derived probability distribution theory. As an alternative to the modeling of urban drainage system for planning or screening level analysis of runoff control alternatives, this model have evolved that offer much ease and flexibility in terms of computation while considering long-term meteorology. This study presented rainfall and runoff characteristics of the subject area using analytical probabilistic model. This study presented the average annual COSs and number of COSs when the interceptor capacity is in the range $3{\times}DWF$ (dry weather flow). Also, calculated the average annual mass of pollutant lost in CSOs using Event Mean Concentration. Finally, this study presented a decision of storage volume for CSOs reduction and water quality protection.

• 해양환경안전학회지
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• 제20권6호
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• pp.685-691
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• 2014

해상에서 발생하는 위기의 확률적인 평가결과는 확률(P=0.0~1.0)로 나타난다. 이러한 확률적인 위기평가결과는 위험한 정도를 쉽게 알기 위하여 일반적으로 평가의 기준이 되는 위기허용수준(Risk Acceptance Criteria, RAC)을 이용하여 지수(index)로 나타낸다. 현재 RAC은 3단계, 5단계, 7단계 등으로 구분하는데, 구분한 단계 수가 위기평가에 적합한지를 평가할 필요가 있음에도 불구하고 관련 연구가 전무한 실정이다. 본 연구에서는 RAC의 단계 구분 수에 따른 민감도(Sensitivity)와 민감도의 분포특성을 이용하여 최적의 RAC 구분 단계 수를 정할 수 있는 평가기법을 제안하였다. 사전 연구결과로부터 획득한 확률적인 위기평가 데이터에 대해서 제안한 기법을 적용한 결과, 민감도가 10배 이내로 형성되는 최적의 RAC 구분 단계 수를 결정할 수 있었고, 이를 통해서 제안한 방법의 유효성을 확인하였다.