• Journal of Information Processing Systems
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• 제15권6호
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• pp.1472-1488
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• 2019

Critical elements in the China's Lunar Exploration reside in that the lunar rover travels over the surrounding undetermined environment and it conducts scientific exploration under the ground control via teleoperation system. Such an interplanetary transportation mission teleoperation system belongs to the ground application system in deep space mission, which performs terrain reconstruction, visual positioning, path planning, and rover motion control by receiving telemetry data. It plays a vital role in the whole lunar exploration operation and its so-called trustworthy evidence must be assessed before and during its implementation. Taking ISO standards and China's national military standards as trustworthy evidence source, the net assessment model and net assessment method of teleoperation system are established in this paper. The multi-dimensional net assessment model covering the life cycle of software is defined by extracting the trustworthy evidences from trustworthy evidence source. The qualitative decisions are converted to quantitative weights through the net assessment method (NAM) combined with fuzzy analytic hierarchy process (FAHP) and entropy weight method (EWM) to determine the weight of the evidence elements in the net assessment model. The paper employs the teleoperation system for interplanetary transportation as a case study. The experimental result drawn shows the validity and rationality of net assessment model and method. In the final part of this paper, the untrustworthy elements of the teleoperation system are discovered and an improvement scheme is established upon the "net result". The work completed in this paper has been applied in the development of the teleoperation system of China's Chang'e-3 (CE-3) "Jade Rabbit-1" and Chang'e-4 (CE-4) "Jade Rabbit-2" rover successfully. Besides, it will be implemented in China's Chang'e-5 (CE-5) mission in 2019. What's more, it will be promoted in the Mars exploration mission in 2020. Therefore it is valuable to the development process improvement of aerospace information system.

• 한국시뮬레이션학회논문지
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• 제16권3호
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• pp.49-56
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• 2007

무선 센서 네트워크는 전쟁장 탐색, 침입자 추적 그리고 고속 도로 감시 등과 같은 많은 응용분야가 있다. 이러한 응용분야는 사용자의 관심 대상이 되는 지역에서 발생 하는 사건 모니터링 하기 위하여 센서 노드로부터 감지된 데이터를 수집한다. 이러한 응용분야에서 가장 중요한 목적은 데이터의 원활한 수집이다. 라우팅 프로토콜에 의존하는 데이터 전달 베이스 스테이션에게 전달되지 않을 수도 있다. 이러한 문제를 해결하기 위하여 우리는 센서 노드의 균등한 에너지 소비를 고려하여 데이터 전달 보장을 위한 유전자 알고리즘 기반의 라우팅 방법을 제안 한다. 제안하는 유전자 알고리즘은 전파 방해 지역, 데이터 전송에 필요한 에너지양 그리고 센서 노드의 평균 잔여 에너지를 고려한 효율적인 라우팅 경로를 탐색한다. 또한 유전자 알고리즘에서 사용하는 적합도는 함수는 퍼지 규칙이 적용되어 정리된다. 우리는 시뮬레이션을 통하여 제안된 방법을 기존의 LEACH와 계층적 PEGASIS에 대하여 비교 한다. 시뮬레이션 결과는 제안된 방법이 에너지의 효율적인 사용과 데이터 전송 성공률에 대한 효율성을 보여 준다.

• Geomechanics and Engineering
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• 제9권1호
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• pp.57-81
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• 2015

Water inrush and mud outburst always restricts the tunnel constructions in mountain area, which becomes a major geological barrier against the development of underground engineering. In view of the complex disaster-causing mechanism and difficult quantitative predictions of water inrush and mud outburst, several theoretical methods are adopted to realize dynamic assessment of water inrush in the progressive process of tunnel construction. Concerning both the geological condition and construction situation, eleven risk factors are quantitatively described and an assessment system is developed to evaluate the water inrush risk. In the static assessment, the weights of eight risk factors about the geological condition are determined using Analytic Hierarchy Process (AHP). Each factor is scored by experts and the synthesis scores are weighted. The risk level is ultimately determined based on the scoring outcome which is derived from the sum of products of weights and comprehensive scores. In the secondary assessment, the eight risk factors in static assessment and three factors about construction situation are quantitatively analyzed using fuzzy evaluation method. Subordinate levels and weight of factors are prepared and then used to calculate the comprehensive subordinate degree and risk level. In the dynamic assessment, the classical field of the eleven risk factors is normalized by using the extension evaluation method. From the input of the matter-element, weights of risk factors are determined and correlation analysis is carried out to determine the risk level. This system has been applied to the dynamic assessment of water inrush during construction of the Yuanliangshan tunnel of Yuhuai Railway. The assessment results are consistent with the actual excavation, which verifies the rationality and feasibility of the software. The developed system is believed capable to be back-up and applied for risk assessment of water inrush in the underground engineering construction.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권4호
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• pp.304-313
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• 2006

This paper describes a novel way of applying capacitive sensing technology to a mobile user interface. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensing system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user's grip-pattern. The captured data is then recognized by dedicated recognition algorithms. The feasibility of the proposed user interface system is thoroughly evaluated with various recognition tests.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2009년도 춘계학술대회 논문집
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• pp.408-411
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• 2009

In this paper, conventional PI, fuzzy neural network(FNN) and adaptive teaming mechanism(ALM)-FNN for rotor field oriented controlled(RFOC) induction motor are studied comparatively. The widely used control theory based design of PI family controllers fails to perform satisfactorily under parameter variation nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of learning through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. Comparative study of PI, FNN and ALM-FNN are carried out from various aspects which is dynamic performance, steady-state accuracy, parameter robustness and complementation etc. To have a clear view of the three techniques, a RFOC system based on a three level neutral point clamped inverter-fed induction motor drive is established in this paper. Each of the three control technique: PI, FNN and ALM-FNN, are used in the outer loops for rotor speed. The merit and drawbacks of each method are summarized in the conclusion part, which may a guideline for industry application.

• 한국지능시스템학회논문지
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• 제16권5호
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• pp.544-549
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• 2006

본 논문은 인간의 보조 역할을 하기 위해 자율적인 명령을 내리고 사용자가 직접 제어할 수 있는 지능형 주행 판단 시스템(Judgment System for Intelligent Movement; JSIM)에 대한 연구이다. 본 논문에서는 제어 대상은 이동 로봇으로 한정한다. 이동 로봇은 지능형 주행 판단 모듈을 휴대한 사용자에게 영상정보와 초음파 센서 정보를 제공하고 가이드 역할을 수행한다. 그리고 PDA와 센서박스로 구성된 지능형 주행 판단 시스템은 이동로봇으로부터 얻은 정보와 사용자 명령을 입력으로 사용하는 소프트 컴퓨팅 기법을 이용하여 이동로봇의 속도와 방향을 결정하고 다양한 기능을 수행하도록 로봇을 원격으로 제어한다. 본 논문에서는 몸에 착용하고 주변장치들과 통신을 하며 지능적 판단을 할 수 있는 지능형 주행 판단시스템을 구성하고 실제 환경에서 지능적 판단 알고리즘 적용과 이동로봇을 제어하는 시스템을 구현하여 제안한 시스템의 실현 가능성을 검증한다. 지능 알고리즘은 계층적 퍼지 구조와 신경망을 융합한 구조이다.

• Computers and Concrete
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• 제29권3호
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• pp.187-199
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• 2022

The usability of waste materials as raw materials is necessary for sustainable production. This study investigates the effects of different powder materials used to replace cement (0%, 5% and 10%) and standard sand (0%, 20% and 30%) (basalt, limestone, and dolomite) on the compressive strength (f_c), flexural strength (f_r), and ultrasonic pulse velocity (UPV) of mortars exposed to freeze-thaw cycles (56, 86, 126, 186 and 226 cycles). Furthermore, the usability of artificial intelligence models is compared, and the prediction accuracy of the outputs is examined according to the inputs (powder type, replacement ratio, and the number of cycles). The results show that the variability of the outputs was significantly high under the freeze-thaw effect in mortars produced with waste powder instead of those produced with cement and with standard sand. The highest prediction accuracy for all outputs was obtained using the adaptive-network-based fuzzy inference system model. The significantly high prediction accuracy was obtained for the UPV, f_c, and f_r of mortars produced using waste powders instead of standard sand (R² of UPV, f_c and f_f is 0.931, 0.759 and 0.825 respectively), when under the freeze-thaw effect. However, for the mortars produced using waste powders instead of cement, the prediction accuracy of UPV was significantly high (R²=0.889) but the prediction accuracy of f_c and f_r was low (R²f_c=0.612 and R²f_f=0.334).

• 한국시뮬레이션학회논문지
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• 제19권1호
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• pp.125-131
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• 2010

무선 센서 네트워크 응용 분야에서, 센서 노드는 광범위하고 열린 공간에 무작위로 배치된다. 센서 네트워크의 이러한 특징 때문에, 센서 네트워크는 공격자에 의한 노드의 포획과 획득한 노드를 사용하여 네트워크의 허위 보고서를 삽입하는 등, 물리적 공격에 취약하다. 이러한 네트워크 보안 위협은 삽입된 허위 보고서를 이용하여 전체 네트워크의 한정된 에너지를 고갈시킨다. 동적 여과 기법은 네트워크에 삽입된 허위 보고서를 탐지하고 제거하기 위해서 제안되었다. 이 기법에서, 센서 노드는 탐지성능을 향상시키기 위하여 배치 후 인증키를 재분배한다. 빈번한 인증키 재분배는 노드의 한정된 에너지의 소모를 유발할 수 있으므로 인증키 재분배의 결정은 매우 중요하다. 본 논문에서는 네트워크의 탐지 성능을 유지하고 에너지 효율을 높이기 위한 인증키 재분배 결정 방법을 제안한다. 각 노드는 일정한 주기에 맞추어 퍼지 시스템을 사용하여 인증키 재분배 여부를 결정한다. 제안 기법은 허위 보고서의 이른 탐지를 보장하고, 그 결과로 허위 보고서 삽입 공격에 대한 에너지 효율성을 보인다.

• Genomics & Informatics
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• 제20권4호
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• pp.45.1-45.7
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• 2022

Food security will be affected by climate change worldwide, particularly in the developing world, where the most important food products originate from plants. Plants are often exposed to environmental stresses that may affect their growth, development, yield, and food quality. Auxin is a hormone that plays a critical role in improving plants' tolerance of environmental conditions. Auxin controls the expression of many stress-responsive genes in plants by interacting with specific cis-regulatory elements called auxin-responsive elements (AuxREs). In this work, we performed an in silico prediction of AuxREs in promoters of five auxin-responsive genes in Zea mays. We applied a data fusion approach based on the combined use of Dempster-Shafer evidence theory and fuzzy sets. Auxin has a direct impact on cell membrane proteins. The short-term auxin response may be represented by the regulation of transmembrane gene expression. The detection of an AuxRE in the promoter of prolyl oligopeptidase (POP) in Z. mays and the 3-fold overexpression of this gene under auxin treatment for 30 min indicated the role of POP in maize auxin response. POP is regulated by auxin to perform stress adaptation. In addition, the detection of two AuxRE TGTCTC motifs in the upstream sequence of the bx1 gene suggests that bx1 can be regulated by auxin. Auxin may also be involved in the regulation of dehydration-responsive element-binding and some members of the protein kinase superfamily.

• 대한토목학회논문집
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• 제26권4C호
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• pp.255-264
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• 2006

터널 시공시 지반상황이 불량하거나 불확실한 지질정보로 인한 붕락사고를 방지하기 위하여 지보재와 병용하여 터널보조공법을 사용한다. 현재 보조공법에 관련된 전문가 시스템은 인공신경망, 퍼지추론 등의 연구가 진행되었고 터널 기술자에게 보조공법을 결정하는데 많은 도움을 주고 있는 상황이나 보조공법을 결정하는데 있어 정량적인 평가항목을 정하는데 어려움이 많은 것으로 파악되고 있다. 따라서, 본 연구에서는 사회과학, 의료, 금융, 농업 등 다양한 분야에 걸쳐 데이터분석에 이용되는 데이터마이닝 기법을 공학분야에 적용시켜 보조공법 설계자료를 바탕으로 보조공법의 의사결정 규칙을 추론하고 PDA를 적용한 전문가 시스템을 구축하였다.