• Annual Conference of KIPS
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• 2009.11a
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• pp.17-18
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• 2009

This paper shows our empirical comparison result between two retargetable compilers, GCC and SoarGen. SoarGen is our retargetable compiler. According to our experimental result, using SoarGen for targeting ODALRISC is proved to be easier and faster than using GCC. The average retarget time of the SoarGen is much less than the retarget time of the GCC.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.6
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• pp.248-262
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• 2008

As the number of large size multimedia files increases and the importance of individual's digital data grows, storage devices have been advanced to store more data into smaller spaces. In such circumstances, a physical damage in a storage device can destroy large amount of important data. Therefore, it is needed to verify the robustness of various physical faults in storage device before certain systems are used. We developed SOAR(Storage Reliability Analyzer), Storage Reliability Analyzer, to detect physical faults in diverse kinds of HDD hardware components and to recover the systems from those faults. This is a useful tool to verify robustness and reliability of a disk. SOAR uses three unique methods of creating physical damages on a disk and two unique techniques to apply the same feature on file systems. In this paper, we have performed comprehensive tests to verify the robustness and reliability of storage device with SOAR, and from the verification result we could confirm SOAR is a very efficient tool.

• The Journal of Korea Robotics Society
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• v.12 no.1
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• pp.55-64
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• 2017

This paper proposes combination of a cognitive agent architecture named Soar (State, operator, and result) and ROS (Robot Operating System), which can be a basic framework for a robot agent to interact and cope with its environment more intelligently and appropriately. The proposed Soar-ROS human-robot interaction (HRI) agent understands a set of human's commands by voice recognition and chooses to properly react to the command according to the symbol detected by image recognition, implemented on a humanoid robot. The robotic agent is allowed to refuse to follow an inappropriate command like "go" after it has seen the symbol 'X' which represents that an abnormal or immoral situation has occurred. This simple but meaningful HRI task is successfully experimented on the proposed Soar-ROS platform with a small humanoid robot, which implies that extending the present hybrid platform to artificial moral agent is possible.

• Asia pacific journal of information systems
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• v.10 no.3
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• pp.105-120
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• 2000

The objective of this paper is to show how team study can be advanced with the aid of a current computer technology, that is distributed Artificial Intelligence(DAI). Studying distributed problem solving by using groups of artificial agents, DAI can provide important ideas and techniques for the study of team behaviors like team decision making. To demonstrate the usefulness of DAI models as team research tools, a DAI model called 'Team-Soar' was built and a simulation experiment done with the model was introduced, Here, Team-Soar models a naval command and control team consisting of four members whose mission was to identify the threat level of aircraft. The simulation experiment was performed to examine the relationships of team decision scheme and member incompetence with team performance. Generally, the results of the Team-Soar simulation met expectations and confirmed previous findings in the literature. For example, the results support the existence of main and interaction effects of team decision scheme and member competence on team performance. Certain results of the Team-Soar simulation provide new insights about team decision making, which can be tested against human subjects or empirical data.

• Journal of the Korean Operations Research and Management Science Society
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• v.25 no.1
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• pp.93-104
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• 2000

Passive agents participate in team activities passively, that is, only upon requst, whereas active agents involve themselves voluntarily. Teams composed of active agents are generally believed to perform better than those with passive agents. In this paper, by using a computational simulation model we examine the effect of agent activeness on the efficiency of decision-making teams that access different amout of information. "Team-Soar" is a computational fraemwork that consists of a group of interconnected individual Al agents (i.e., Soar). A simulation experiment using Tearm-Soar was performed. Results of the simulation provide valuable insights on the roles of agent activeness. For example, the impact of having more active agents becomes more sigfniciant as the amout of information to process increases and when the team decision efficiency is important. Some of the results are counter-intultive and therefore provides an opportunity to understand the roles of the agnet activeness more deeply. For instance, the simulation results reveal that having more active agents did not always enhance team efficiency. Conclusively, the simulation experiment demonstrates how computational models contribute to the research of agents social characteristics.teristics.

• Annual Conference of KIPS
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• 2011.11a
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• pp.24-27
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• 2011

재구성형 프로세서는 높은 성능과 낮은 전력 소모, 재구성이 가능하다는 점에서 갈수록 높아지는 모바일 및 소형 전자기기 시장의 요구 조건을 충족시키기에 적합한 특성을 가지고 있다. 이 논문에서는 아키텍처 명세 언어인 SoarDL 언어를 확장하여 재구성형 프로세서를 효과적으로 기술할 수 있는 방법과 함께, 이를 바탕으로 재구성형 프로세서를 위한 컴파일러를 생성할 수 있는 방안을 제시한다.

• Animal Systematics, Evolution and Diversity
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• v.11 no.1
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• pp.27-37
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• 1995

A taxonomical examination of water mites collected at 2 localities in Chindo Island resulted in that they were composed of the following 7 species in 6 families and 6 genera: Hydrodroma despiciens despiciens (Miiller), Sperchonopsis verrucosa verrucosa (Protz), Torrenticola (Torrenticola) nipponica (Enami), Hygrobates (Hygrobates) longipalpis (Hermann), Unionicola (Unionicola) crassipes minor (Soar), Aturus glaberus Kim and Chung, and Bharatalbia (Japonalbia) ibarakiensis Imamura. Of these 4 taxa, Hydrodroma despiciens despiciens, Torrenticola nipponica, Hygrobates longipalpis, and Bharatalbia ibarakiensis were reported for the first time from Korea. A discussion about some facts deduced from the species composition and their distributions was also made.

• Asia pacific journal of information systems
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• v.12 no.2
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• pp.197-216
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• 2002

Cooperativeness within an organization can be conceptualized as the degree of members' willingness to work with others. The simulation study investigates the relationships of cooperativeness with team performance at different levels of information redundancy by using a multi-agents model called Team-Soar. The model consists of a group of four individual Al agents situated in a network, which models a naval command and control team consisting of four members. The study used a $9{\times}3$ design in which agent cooperativeness was manipulated at nine levels by gradually replacing selfish team members with increasing numbers of neutral and cooperative members, while information redundancy was controlled at three different levels(i.e., low, medium, and high). Results of the Team-Soar simulation show that cooperation has positive impacts on team performance. Further, the results reveal that the impact of agent cooperativeness on team performance depends on the amount of information needed to be processed during the decision making process.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.37-59
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• 2004

Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1478-1481
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• 2019

As core technologies(IoT, 5G, Cloud, Bigdata, AI etc) leading the Fourth Industrial Revolution promote smart convergence across the national socio-economic infrastructure, the threat of new forms of cyber attacks is increasing and the possibility of massive damage is also increasing. Reflecting this trend, cyber security is expanding from simple information protection to CPS(Cyber Physical System) protection that combines safety and security that implements hyper-connectivity and ultra-reliability. This study introduces the recent evolution of cyber attacks and looks at the next generation cyber security technologies based on the conceptual changes of cyber security technologies such as SOAR(Security Orchestration, Automation and Response) and Zero Trust.