• The Transactions of the Korea Information Processing Society
• /
• v.7 no.1
• /
• pp.12-19
• /
• 2000

In the development of a production process scheduling system a collaboration method must be defined for the cooperation among submodules within the system. The blackboard architecture is exploited for solving the collaboration problem, which is one of the problem solving architecture that belongs to the distributed artificial intelligence. The dynamic states of the problem solving processes are presented in the hierarchically constructed shared working memory called as a blackboard. The communication for the collaboration is done through the blackboard. The problem solving steps are contained in the global controller, one of a component that consists the blackboard architecture, as knowledge. The global controller activates proper submodules based on the knowledge. By applying the blackboard architecture the collaboration problem among submodules in the grating production process scheduling system (GPSS) has been solved as well as the system became adaptable to the future modifications and expansions.

• Journal of the Korea Society for Simulation
• /
• v.17 no.2
• /
• pp.83-90
• /
• 2008

We introduce the coordination among the intrusion detection agents by BBA(BlackBoard Architecture) that belongs to the field of distributed artificial intelligence. The system which uses BBA for the coordination can be easily expanded by adding new agents and increasing the number of BB(BlackBoard) levels. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies PBN(Policy-Based Network) to reduce the false positives that is one of the main problems of IDS. The performance obtained from the coordination of intrusion detection agent with PBN is compared against the corresponding non PBN type intrusion detection agent. The application of the research results lies in the experimentation of the various security policies according to the network types in selecting the best security policy that is most suitable for a given network.

• Korean Journal of Cognitive Science
• /
• v.5 no.2
• /
• pp.47-73
• /
• 1994

In this paper, a blackboard-based road image understanding system is implemented. The 7 useful information which organized by the hierarchical manner are stored in the blackboard system. The 6 Knowledge source modules and the blackboard make the communications under the supervision of the control module. For a scene, each hypothesis is generated and then verified for every meaningful object. On the simulation results, the correct recognition ratio can be reached out 90%. It shows that the extraction of road information for the autonomous navigation can be obtained using the blackboard architecture.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.2
• /
• pp.888-894
• /
• 2011

Blackboard architecture was designed as a means for dealing with ill-defined and complex problems. In order to improve the efficiency of the systems using blackboard architecture, this paper proposes a mechanism for fast detection of knowledge source activations which can contribute potentially to the problem solving of blackboard systems, whenever the state of blackboard is changed. The proposed mechanism uses a Rete network generated from the activation conditions subscribed by all knowledge sources to process the pattern matching between blackboard data and the activation conditions efficiently.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.05a
• /
• pp.856-862
• /
• 2003

CPFR(Collaborative Planning Forecasting and Replenishment)은 기존의 생산관리 패러다임(Paradigm)을 탈피하는 새로운 협업적 생산 극대화 시키는 데 목적을 두고 있다. CPFR의 핵심은 정보 공유를 기반으로 하는 공급망상 참여 기업간의 협업이며, 이는 매우 불확실한 시장 상황 하에서 끊임없는 발생하는 예외사항들을 처리하는데 매우 중요하다. 본 연구에서는 참여 기업간의 협업을 가능하게 하는 블랙보드 기반 협업 에이전트(Blackboard Based Collaboration Agent) 구조를 제시한다. 또한 화행 이론(Protocol)을 제시하여 참여 기업간의 협동 과정을 제어하는 방식을 구현한다.

• Journal of the Korea Society for Simulation
• /
• v.17 no.3
• /
• pp.9-18
• /
• 2008

Unlike conventional researches, we are able to i) compare the fuzzy logic based BBA with non-fuzzy BBA for verifying the effective performance of the proposed fuzzy logic application ii) dynamically respond to the intrusion using BBA whereas the previous IDS was responding statically and iii) expect that this would be a cornerstone for more practical application researches (analyzing vulnerability and examining countermeasures, etc.) of security simulation. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies fuzzy logic to reduce the false negative that is one of the main problems of IDS. Intrusion detection is complicated decision-making process, which generally involves enormous factors about the monitored system. Fuzzy evaluation component model, which is a decision agent in the distributed IDS, can consider various factors based on fuzzy logic when an intrusion behavior is detected. The performance obtained from the coordination of intrusion detection agent with fuzzy logic is compared against the corresponding non fuzzy type intrusion detection agent. The results of these comparisons allow us to evaluate a relevant improvement on the fuzzy logic based BBA.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.3
• /
• pp.307-316
• /
• 2011

The majority of maritime accidents happened by human factor. For that reason, navigation experts want to an intelligent support system for navigation safety, without officer involvement. The expert system which is one of artificial intelligence skills for navigation support is an important tool that a machine can substitute for an expert through the design of a knowledge base and inference engine using the experience or knowledge of an expert. Further, in the real world, a complex situation requires synthetic estimation with the input of experts in various fields for the correct estimation of the situation, not any one expert. In particular, synthetic estimation is more important for navigation situations than in other cases, because of diverse potential threats. This paper presents the method of knowledge fusion pertaining to navigation safety knowledge from various expert systems, using a blackboard system. Then we will show the validity of the method via a design and implementation of test system effort.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.2
• /
• pp.454-460
• /
• 2000

In this paper, an architecture is suggested which efficiently detects intrusions in network environments. In the architecture, the Blackboardbased agent coordinates opinions of several independent agents which are performing unique functions, by resolving conflicts and reconfirming notices of intrusion. In the simulation, it was found that conventional agents judge simple resource access activities as 'intrusion' while blakcboard-based agent reserves the judgement until additional information confirms notices of independent agents. Reconfirmation process based on additional questioning will roduce positive errors.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.2
• /
• pp.243-253
• /
• 2019

First steps of Planetary exploration are usually conducted with the use of autonomous rovers. These rovers are capable of finding its own path and perform experiments about the planet's surface. This paper makes a proposal for a multi-agent system which effectively take the advantage of a blackboard system for share knowledge and effort of each agent. Agents use Reactive Model with the combination of Belief Desire Intension (BDI) Model and also use a Path Finding Algorithm for calculate shortest distance and a path for travel on the planet's surface. This approach can perform a surface exploration on a given terrain within a short period of time. Information which are gathered on the blackboard are used to make an output with detailed surface soil variance results. The developed Multi-Agent system performed well with different terrain sizes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.10a
• /
• pp.483-486
• /
• 2011

Recently, large and small vehicle accidents due to human life and property due to loss of function similar to that used on the plane with a black box mounted on the vehicle by the driver of the vehicle in order to analyze the cause of the accident vehicle you are using a black box. The black box used in the existing operating system, unlike the Android OS portability is good compared to other OS support an open platform for the development of additional costs or proven, which includes many libraries need to use any external libraries there are no advantages. In addition, the existing black box on the incident can not be sent automatically to report an accident notification has a problem. In this paper, another advantage of the OS used in a black box with an Android-based acceleration sensor on the test board GPS module and smart phones using the information, and incident detection capability to send a message to the specified number of black boxes with was implemented.