• Title/Summary/Keyword: pre-logic

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Intelligent Real-time Game Characters using Genetic Algorithms (유전자 알고리즘을 사용한 지능적인 실시간 게임 캐릭터)

  • Tae-Hong Ahn;Sung-Kwan Kang;Sang-Kyu Lee;U-Jung Kim;Hong-Ki Kim
    • Journal of the Korea Computer Industry Society
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    • v.2 no.10
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    • pp.1309-1316
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    • 2001
  • In the majority of todays animation and computer games, the behaviours of characters are controlled by pre-defined game logic or pre-generated motion. As game developers strive for richer and more interactive games, they often encounter limitations with this approach. This paper attempts to construct a game model using Genetic Algorithms (GAs) in order to produce more intelligent and compelling computer games. Based on learning ability, the use of GAs will enable the characters to continually evolve, providing a changing and dynamic game environment. A real-time game was implemented to investigate the performance and limitations of the system.

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EIC(Evolutional Intelligent Character) 모델을 이용한 지능적인 실시간 게임 캐릭터의 구현

  • Kwang, Seung-Gwan;Ahn, Tae-Hong;Kim, Kook-Song;Kim, Jong-Hyuck;Kim, Hong-Ki
    • Journal of Korea Game Society
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    • v.2 no.2
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    • pp.60-65
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    • 2002
  • In the majority of today's computer games, the behaviour of characters are controlled by pre-defined game logic or pre-generated motion. As game developers strive for richer and more interactive games, they often encounter limitations with this approach. This paper attempts to construct a game model using Genetic Algorithms (GAs) in order to produce more intelligent and compelling computer games. Based on teaming ability, the use of GAs will enable the characters to continually evolve, providing a changing and dynamic game environment. A real-time game was implemented to investigate the performance and limitations of the system.

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High-speed Fuzzy Inference System in Integrated GUI Environment

  • Lee, Sang-Gu
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.50-55
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    • 2004
  • We propose an intgrated Gill environment system having only integer fuzzy operations in the consequent part and the defuzzification stage. In this paper, we also propose an integrated Gill environment system with 4 parallel fuzzy processing units to be operated in parallel on the classification of the sensed image data. In this, we solve the problems of taking longer times as the fuzzy real computations of [0, 1] by using the integer pixel conversion algorithm to convert lines of each fuzzy linguistic term to the closest integer pixels. This procedure is performed automatically in the GUI application program. As a Gill environment, PCI transmission, image data pre-processing, integer pixel mapping and fuzzy membership tuning are considered. This system can be operated in parallel manner for MIMO or MISO systems.

Dempster-Shafer's Evidence Theory-based Edge Detection

  • Seo, Suk-Tae;Sivakumar, Krishnamoorthy;Kwon, Soon-Hak
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.1
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    • pp.19-24
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    • 2011
  • Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients. In this paper, we propose an edge detection method based on Dempster-Shafer's evidence theory to evaluate edgeness of the given pixel. The effectiveness of the proposed method is shown through experimental results on several test images and compared with conventional methods.

Intelligent Energy (지능형 에너지)

  • Oh, D.K.;Ji, H.G.;Kim, Y.H.;Kang, M.K;Choi, B.G;Lee, I.W.;Lee, B.T.;Kim, B.U.;Hong, T.C.;Sung, D.K.
    • Electronics and Telecommunications Trends
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    • v.33 no.4
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    • pp.92-102
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    • 2018
  • On a global level, the energy problem is a very important policy topic, particularly at a time when the nation relies on imports for more than 95% of its energy demand. The starting point of an energy policy should be in line with the international community's concern and cooperation regarding climate warming, and the logic of the new policy on renewable energy expansion in Korea, the pre-developed energy sector, and policy of deserting coal all support this aspect. In particular, to accommodate the rapid urbanization of mankind, the key words of the 4th Industrial Revolution are linking energy to IoT, artificial intelligence, block chain, cloud, and big data.

Optimal design of the PID Controller using a predictive control method

  • Kim, Sang-Joo;Lee, Jang-Myung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.1
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    • pp.69-75
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    • 2005
  • This paper is concerned with the design of a predictive PID controller, which has similar features to the model-based predictive controller. A PID type control structure is defined which includes prediction of the outputs and the recalculation of new set points using the future set point data. The optimal values of the PID gains are pre-calculated using the values of gains calculated from an unconstrained generalized predictive control algorithm. Simulation studies demonstrate the performance of the proposed controller and the results are compared with generalized predictive controller and the results are compared with generalized predictive control solutions.

A residual generator for fault detection/isolation of a class of nonlinear systems (비선형 공정의 고장검출을 위한 잔차발생알고리즘)

  • Ryu, Ji-Su;Lee, Sang-Moon;Lee, Kee-Sang;Park, Tae-Geon
    • Proceedings of the KIEE Conference
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    • 2004.07d
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    • pp.2230-2232
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    • 2004
  • A residual generation scheme that can be employed in the process fault detection and isolation systems for a class of nonlinear (control) systems is suggested. Although the scheme is a kind of observer scheme, the design of the observers employed for residual generation is very simple and the order of the observer is very low. In spite of the simplicity, the residual generation scheme provides the same information for the detection and isolation of the anticipated faults as the conventional multiple observer based schemes. The residuals may be structured so that fault isolation can be performed by pre-selected logic. An FDIS using the residual generation scheme is constructed and evaluated for a nonlinear DC motor system.

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Development of microcomputer-based on-line measurement system. (마이크로컴퓨터를 이용한 온-라인 측정 시스템의 개발)

  • ;;Chung, Myung Kyoon;Lee, Dong In
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.5 no.4
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    • pp.274-283
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    • 1981
  • An inexpensive and very simple microcomputer-aided measurement system has been designed for on-line experiments, which perform simultaneously data acquisition, data recorditing, calculations with the data, and positioning of necessary sensors. Interfacting between the microcomputer and the data acquisition board which consists of A/D converter, analog multiplexer, and sample-and-holder, etc. has been done through IEEE-488 interface port and parallel user port both provided by the PET computer's main logic board. Data and control signals are transfered between devices without handshaking. By utilizing BASIC commands PEEK, POKE, SYS, USR which are offered by PET microcomputer, it is possible to link machine code subroutines into the main BASIC program. This facilitates ease of data transfer, programming, and speedy execution of the program. In addition, an X-Y scanning table has been concected to the system in order to automatically position measuring sensors along a pre-determined path of interest.

A SSN-Reduced 5Gb/s Parallel Transmitter

  • Lee, Seon-Kyoo;Kim, Young-Sang;Park, Hong-June;Sim, Jae-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.7 no.4
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    • pp.235-240
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    • 2007
  • A current-balancing segmented group-inverting transmitter is presented for multi-Gb/s single-ended parallel links. With an additional increase of 4 pins, 16-bit data is efficiently encoded to 20 pins to achieve the current balancing and eliminate the simultaneous switching noise. Since the proposed coding is a simple inversion-or-not transformation of pre-defined groups of binary data, it can be implemented with simplified logic circuits. The transmitter is designed with a $0.18{\mu}m$ CMOS technology, and simulated eye diagrams at 5Gb/s show dramatic improvements in signal integrity.

Design of Auto-Tuning Fuzzy Logic Controllers Using Hybrid Genetic Algorithms (하이브리드 유전 알고리듬을 이용한 자동 동조 퍼지 제어기의 설계)

  • Ryoo, Dong-Wan;Kwon, Jae-Cheol;Park, Seong-Wook;Seo, Bo-Hyeok
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.126-129
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    • 1997
  • This paper propose a new hybrid genetic algorithm for auto-tunig auzzy controller improving the performance. In general, fuzzy controller used pre-determine d moderate membership functions, fuzzy rules, and scaling factors, by trial and error. The presented algorithm estimates automatically the optimal values of membership functions, fuzzy rules, and scaling factors for fuzzy controller, using hybrid genetic algorithms. The object of the proposed algorithm is to promote search efficiency by overcoming a premature convergence of genetic algorithms. Hybrid genetic algorithm is based on genetic algorithm and modified gradient method. Simulation results verify the validity of the presented method.

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