• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.190-194
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• 1998

In this paper, we introduce the micro robot soccer playing system as a standard test bench for the study on the multiple agent system. Our method is based on following viewpoints. They are (1) any complex behavior such as cooperation among agents must be completed by sequential basic actions of concerned agents. (2) those basic actions can be well defined, but (3) how to organize those actions in current time point so as to result in a new stale beneficial to the end aim ought to be achieved by a kind of self-learning self-organization strategy.

• 대한기계학회논문집A
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• 제27권7호
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• pp.1146-1151
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• 2003

In this paper, results of an analysis of driving behavior characteristics and a driver-adaptive control algorithm for adaptive cruise control systems have been described. The analysis has been performed based on real-world driving data. The vehicle longitudinal control algorithm developed in our previous research has been extended based on the analysis to incorporate the driving characteristics of the human drivers into the control algorithm and to achieve natural vehicle behavior of the adaptive cruise controlled vehicle that would feel comfortable to the human driver. A driving characteristic parameters estimation algorithm has been developed. The driving characteristics parameters of a human driver have been estimated during manual driving using the recursive least-square algorithm and then the estimated ones have been used in the controller adaptation. The vehicle following characteristics of the adaptive cruise control vehicles with and without the driving behavior parameter estimation algorithm have been compared to those of the manual driving. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore, it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권6호
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• pp.2781-2800
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• 2016

Emerging attacks aim to access proprietary assets and steal data for business or political motives, such as Operation Aurora and Operation Shady RAT. Skilled Intruders would likely remove their traces on targeted hosts, but their network movements, which are continuously recorded by network devices, cannot be easily eliminated by themselves. However, without complete knowledge about both inbound/outbound and internal traffic, it is difficult for security team to unveil hidden traces of intruders. In this paper, we propose an autonomous anomaly detection system based on behavior profiling and relation mining. The single-hop access profiling model employ a novel linear grouping algorithm PSOLGA to create behavior profiles for each individual server application discovered automatically in historical flow analysis. Besides that, the double-hop access relation model utilizes in-memory graph to mine time-sequenced access relations between different server applications. Using the behavior profiles and relation rules, this approach is able to detect possible anomalies and violations in real-time detection. Finally, the experimental results demonstrate that the designed models are promising in terms of accuracy and computational efficiency.

• Smart Structures and Systems
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• 제31권6호
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• pp.585-599
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• 2023

Field monitoring techniques offer an attractive approach for understanding bridge behavior under in-service loads. However, the investigations on bridge behavior under high-speed train load using field monitoring data are limited. The focus of this study is to explore the structural behavior of an in-service long-span steel truss arch bridge based on field monitoring data. First, the natural frequencies of the structure, as well as the train driving frequencies, are extracted. Then, the train-induced bearing displacement and structural strain are explored to identify the effects of train loads and bearings. Subsequently, a sensitivity analysis is performed for the impact factor of strain responses with respect to the train speed, train weight, and temperature to identify the fundamental issues affecting these responses. Additionally, a similar sensitivity analysis is conducted for the peak acceleration. The results indicate that the friction force in bearings provides residual deformations when two consecutive trains are in opposite directions. In addition, the impact factor and peak acceleration are primarily affected by train speed, particularly near train speeds that result in the resonance of the bridge response. The results can provide additional insight into the behavior of the long-span steel truss bridges under in-service high-speed train loads.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.141-161
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• 2016

연구목적 크라우드펀딩 프로젝트의 성공요인에 대해 다양한 연구들이 시도되어 왔으나 아직까지도 국내외 연구는 제한적인 상황이다. 이에 따라 본 연구는 크라우드펀딩 프로젝트 커뮤니티를 둘러싼 정보기반(information-based) 및 행위 기반(behavior-based)의 사회적 상호작용뿐만 아니라 펀딩 모금액 달성이라는 공동의 목표가 프로젝트 성공에 미치는 영향에 대해 분석하고자 한다. 연구설계/방법론/접근법 본 연구를 위해 2016년 2월부터 8월까지 국내 대표적인 보상형 크라우드펀딩 플랫폼, 텀블벅(Tumblbug)에서 펀딩에 성공한 154개 크라우드펀딩 프로젝트들의 패널 데이터를 수집하였다. 이를 바탕으로 정보 기반의 사회적 상호작용 변수(정보 공유 횟수)와 행위 기반의 사회적 상호작용 변수(후원자수)가 크라우드펀딩 프로젝트 성공에 미치는 영향을 분석하였다. 또한 목표 달성 동기요인이 사회적 상호작용과 크라우드펀딩 프로젝트 성공 간의 관계를 조절하는지 살펴보았다. 결과 본 연구 결과에 따르면 정보 기반의 사회적 상호작용 및 행위 기반의 사회적 상호작용이 크라우드 펀딩 프로젝트 성공에 긍정적으로 유의한 영향을 미치는 것으로 나타났다. 또한 목표 달성 동기요인이 정보 및 행위 기반의 사회적 상호작용과 크라우드펀딩 프로젝트 성과 간의 관계를 조절한다는 것을 확인하였다.

• International Journal of Control, Automation, and Systems
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• 제6권6호
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• pp.904-914
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• 2008

An action-selection-mechanism(ASM) has been proposed to work as a fully connected finite state machine to deal with sequential behaviors as well as to allow a state in the task program to migrate to any state in the task, in which a primitive node in association with a state and its transitional conditions can be easily inserted/deleted. Also, such a primitive node can be learned by a shortest path-finding-based reinforcement learning technique. Specifically, we define a behavioral motivation as having state-dependent value as a primitive node for action selection, and then sequentially construct a network of behavioral motivations in such a way that the value of a parent node is allowed to flow into a child node by a releasing mechanism. A vertical path in a network represents a behavioral sequence. Here, such a tree for our proposed ASM can be newly generated and/or updated whenever a new behavior sequence is learned. To show the validity of our proposed ASM, experimental results of a mobile robot performing the task of pushing- a- box-in to- a-goal(PBIG) will be illustrated.

• 전기화학회지
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• 제17권1호
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• pp.26-29
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• 2014

The corrosion behavior of stainless steel 304 (SS 304), titanium, nickel and aluminium is studied by immersion and anodic polarization tests in non-aqueous electrolytes. Tetraethyl ammonium tetrafluoroborate is used as a supporting electrolyte in the three kinds of solvents. The immersion test shows that chemical corrosion rate in propylene carbonate-based electrolyte is lower than those in acetonitrile- or ${\gamma}$-butyrolactone-based electrolytes. Surface analyses do not reveal any corrosion product formed after the immersion test. In the anodic polarization tests, a higher concentration of supporting electrolyte gives a higher current density. In addition, a higher temperature increases the current density in the active region and reduces the potential range in the passive region. SS 304 shows the highest corrosion potential while Al shows the lowest corrosion potential and the highest current density in all studied conditions. Based on the conducted corrosion tests, the corrosion resistance of metal substrates in the organic solvents can be sorted in descending order as follows: SS 304 - Ti - Ni - Al.

• 한국지능시스템학회논문지
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• 제19권5호
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• pp.737-742
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• 2009

청소 로봇, 관광 안내 로봇부터 우주 탐사로봇까지 자율이동로봇의 응용분야가 넓어짐에 따라서 자율이동로봇의 인기는 급속도로 높아지고 있다. 하지만 동적인 환경 내에서 자율이동로봇의 안전한 네비게이션을 위한 만족스러운 제어 알고리즘은 여전히 연구 과제이다. 본 논문에서는 새로운 Potential field method를 이용한 제어 방법을 제안하였고, 컴퓨터 시뮬레이션을 통해 제안한 알고리즘을 실행하고 분석하였고, 이 실험 결과들로서 Potential field method를 사용한 행동(behavior)에 기반한 제어 시스템의 유효성을 나타내었다.

• Elastomers and Composites
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• 제53권4호
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• pp.207-212
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• 2018

Taylor rod impact tests have been the subject of many theoretical and experimental investigations. This paper discusses the numerical methods for simulating the Taylor impact test, which is widely used to obtain constitutive equations and failure conditions under high-velocity collisions of materials. With this in mind, a particle-based MPM (material point method) for linear viscoelastic solid materials was implemented, and MPM simulations for viscoelastic deformation behavior were numerically verified and confirmed by comparing the MPM and FEM results. In addition, this modeling and numerical approach could be extended to more complex viscoelastic models for basic understanding and to analyze the deformation and fracture behavior of more complicated viscoelastic material systems.

• 디지털융복합연구
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• 제17권2호
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• pp.127-134
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• 2019

본 연구에서는 관광객을 대상으로 스마트폰 모바일뱅킹 서비스에 대한 행동 의도에 미치는 영향 요인들을 탐색하고자 한다. 모바일 인터넷 기술의 발전과 스마트 폰의 보급으로 인해 스마트폰 기반의 모바일뱅킹에 대한 관심과 보급이 대중화되고 있다. 이러한 상황에서 본 연구에서는 독립변수로서 기대 성과, 사회적 영향, 촉진 조건, 인지된 재정적 비용, 습관, 인지된 보안 수준을, 그리고 종속변수로서 사용자의 이용행동의도 사이의 관계를 분석하였다. 본 연구에서는 제주국제공항에서 중국 관광객을 대상으로 203명의 응답자를 대상으로 분석을 실시하였고, Smartpls 3.0으로 독립변수들의 영향 정도를 파악하였다. 분석 결과 인지된 보안 수준 및 습관이 행동 의도에 긍정적인 영향을 미침을 알 수 있었다. 특히 인지된 보안을 최근에 스마트폰 기반 모바일뱅킹의 중요한 이슈라는 점에서 본 연구 결과에 부합된다. 본 연구는 관광객 대상으로 스마트폰 기반 모바일 뱅킹 서비스의 행위 요인에 대한 분석이라는 점에서 의의를 가진다.