• Title/Summary/Keyword: intelligent control system

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Operation Plan for the Management of an Information Security System to Block the Attack Routes of Advanced Persistent Threats (지능형지속위협 공격경로차단 위한 정보보호시스템 운영관리 방안)

  • Ryu, Chang-Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.759-761
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    • 2016
  • Recent changes in the information security environment have led to persistent attacks on intelligent assets such as cyber security breaches, leakage of confidential information, and global security threats. Since existing information security systems are not adequate for Advanced Persistent Threat; APT attacks, bypassing attacks, and attacks on encryption packets, therefore, continuous monitoring is required to detect and protect against such attacks. Accordingly, this paper suggests an operation plan for managing an information security system to block the attack routes of advanced persistent threats. This is achieved with identifying the valuable assets for prevention control by establishing information control policies through analyzing the vulnerability and risks to remove potential hazard, as well as constructing detection control through controlling access to servers and conducting surveillance on encrypted communication, and enabling intelligent violation of response by having corrective control through packet tagging, platform security, system backups, and recovery.

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High-speed Integer Fuzzy Operations Without Multiplications and Divisions (곱셈, 나눗셈이 필요 없는 고속 정수 퍼지 연산)

  • Kim Jin-Il;Lee Sang-Gu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.9
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    • pp.1727-1736
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    • 2006
  • In a fuzzy control system to vocess fuzzy data in high-speed for intelligent systems, one of the important problems is the improvement of the execution speed in the fuzzy inference and defuzzification stages. Especially, it is more important to have high-speed operations in the consequent Pan and defuzzification stage. Therefore, in this paper, to improve the speedup of the fuzzy controllers for intelligent systems, we propose novel integer fuzzy operation method without mulitplications and divisions by only integer addition to convert real values in the fuzzy membership functions in the consequent part to integer grid pixels $(400{\times}30)$ without [0, 1] real operations. Also we apply the proposed system to the truck backer-upper control system. As a result, this system shows a real-time very high speed fuzzy control as compared as the conventional methods. This system will be applied to the real-time high-speed intelligent systems such as robot arm control.

Building of an Intelligent Ship's Steering Control System Based on Voice Instruction Gear Using Fuzzy Inference (퍼지추론에 의한 지능형 음성지시 조타기 제어 시스템의 구축)

  • 서기열;박계각
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1809-1815
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    • 2003
  • This paper presents a human friendly system using fuzzy inference as a Part of study to embody intelligent ship. We also build intelligent ship's steering system to take advantage of speech recognition that is a part of the human friendly interface. It can bring an effect such as labor decrement in ship. In order to design the voice instruction based ship's steering gear control system, we build of the voice instruction based learning(VIBL) system based on speech recognition and intelligent learning method at first. Next, we design an quartermaster's operation model by fuzzy inference and construct PC based remote control system. Finally, we applied the unposed control system to the miniature ship and verified its effectiveness.

Evolving Cellular Automata Neural Systems(ECANS 1)

  • Lee, Dong-Wook;Sim, Kwee-Bo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.158-163
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    • 1998
  • This paper is our first attempt to construct a information processing system such as the living creatures' brain based on artificial life technique. In this paper, we propose a method of constructing neural networks using bio-inspired emergent and evolutionary concept, Ontogeny of living things is realized by cellular automata model and Phylogeny that is living things adaptation ability themselves to given environment, are realized by evolutionary algorithms. Proposing evolving cellular automata neural systems are calledin a word ECANS. A basic component of ECANS is 'cell' which is modeled on chaotic neuron with complex characteristics, In our system, the states of cell are classified into eight by method of connection neighborhood cells. When a problem is given, ECANS adapt itself to the problem by evolutionary method. For fixed cells transition rule, the structure of neural network is adapted by change of initial cell' arrangement. This initial cell is to become a network b developmental process. The effectiveness and the capability of proposed scheme are verified by applying it to pattern classification and robot control problem.

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TASK PLANNING AND VISUALIZATION SYSTEM FOR INTELLIGENT EXCAVATING SYSTEM

  • Jeong-Hwan Kim;Seung-Soo Lee;Jin-Woong Park;Ji-Hyeok Yoon;Jong-Won Seo
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.457-463
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    • 2009
  • The earthwork is essential procedure for all civil engineering projects. Because of its importance in terms of cost and time, it should be managed effectively. In light of this, The Intelligent Excavating System (IES) research consortium has established to improve the productivity, quality and safety of current excavating/earthwork system by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of Korea. This paper summarizes ongoing research aimed at development knowledge and presents a framework of task planning and visualization system for IES. The task planning and visualization system consists of three functions. 1) Using digital terrain model which created by 3D laser scanner, the system can divide it and generates global/local work area so that the excavator can work through the area. 2) In order to operate and/or control the excavator, the system exports the location, paths of boom, arm and bucket data of the excavator to control center. 3) The task planning system is visualized on the computer programming aided-graphic interface which simulates the planned work processes and eventually assists the operator for the control of the excavator. The case study which we have performed, demonstrates the effectiveness of the proposed system.

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A Study on the Design of Feedback Adaptive Controller

  • Shin, Wee-Jae;Lee, Sang-Yun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.185-188
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    • 1998
  • In this paper, we propose a feedback adaptive controller which need not adjustment of the scale factor. Numerical examples are included to illustrate the procedure of a adaptive control and to show the performance of the control system. We can observe that the output of control system, converges toward the reference of response.

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Design of Fuzzy Controller Based on Fuzzy Model for Container Crane System

  • Kim, Maeng-Jun-;Geuntaek-Kang
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1250-1253
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    • 1993
  • The fuzzy control theory is applied to control a container crane, which is a very complicated system and controled manually by experts. As reference velocities of trolley and hoist of the container crane, we use those decided by experts, and express them by fuzzy model. We control the crane to follow the reference velocities by using fuzzy controllers. The fuzzy controllers are designed on the container crane. We made a model container crane and applied the suggested method to it

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Development of Intelligent Bed Robot System

  • Oh, Chang-Mok;Seo, Kap-Ho;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1535-1538
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    • 2004
  • In this paper, an Intelligent Bed Robot System (IBRS) is proposed, that is a special bed equipped with robot manipulator. To assist a patient using IBRS, pose and motion estimation process is fundamental. It is designed to help the elderly and the disabled for their independent life in bed without other assistants. For this purpose, we use the pressure sensor distributed mattress for detecting the change of motion on the bed. Using that data, we control the robot arm to move to the appropriate position and serve to the user. In addition, we can estimate the user's intention based on the change of pressure and use those data to control the robot arm guide.

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NICS : A System for Service Control and Management on Intelligent Networks

  • Gong, Nam-Su;Bae, Hyeon-Ju;Kim, Sang-Gi;Im, Deok-Bin;Hong, Jin-Pyo
    • ETRI Journal
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    • v.14 no.4
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    • pp.10-18
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    • 1992
  • Intelligent Network offers network operators significant opportunities to provide new services such as Freephone service and Credit Calling service. To realize the IN capabilities it is required to introduce several new components into the existing telecommunication network. Among them Service Control Point is regarded as a keystone node of Intelligent Network. This paper discusses the architecture design and implementation of NICS(Network Information Control System), which is a combined system of SCP and SMS. Service processing aspects are discussed in detail among the functions of NICS, and service management and test environment of service logic are presented also. The field trial of NICS which has been developed to provide Freephone Service and Credit Calling Service is scheduled at the end of 1993.

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Digital Control of An Inverted Pendulum by Using Intelligent Digital Redesign (지능형 디지탈 재설계를 이용한 도립 진자의 디지탈 제어)

  • Chang, Wook;Joo, Young-Hoon;Park, Jin-Bae
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.10
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    • pp.457-463
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    • 2001
  • This paper presents a simple and new digital redesign algorithm for fuzzy-model-based controllers. In the first stage, a continuous-time TS fuzzy model is constructed for a given continuous-time nonlinear system and a corresponding continuous-time fuzzy-model-based controller is established based on the existing controller synthesis algorithms. In the second stage, the continuous-time fuzzy-model-based controller is converted to equivalent discrete-time fuzzy-model-based controller, aiming at maintaining the property of the analogue controlled system, which are called intelligent digital redesign. Finally, the proposed method is applied to the digital control of inverted pendulum system to shows the effectiveness and the effectiveness and the feasibility of the method.

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