• Title/Summary/Keyword: 내부 필터

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Unknown-Parameter Identification for Accurate Control of 2-Link Manipulator using Dual Extended Kalman Filter (2링크 매니퓰레이터 제어를 위한 듀얼 확장 칼만 필터 기반의 미지 변수 추정 기법)

  • Seung, Ji Hoon;Park, Jung Kil;Yoo, Sung Goo
    • Journal of the Korea Convergence Society
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    • v.9 no.6
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    • pp.53-60
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    • 2018
  • In this paper, we described the unknown parameter identification using Dual Extended Kalman Filter for precise control of 2-link manipulator. 2-link manipulator has highly non-linear characteristic with changed parameter thought tasks. The parameter kinds of mass and inertia of system is important to handle with the manipulator robustly. To solve the control problem by estimating the state and unknown parameters of the system through the proposed method. In order to verify the performance of proposed method, we simulate the implementation using Matlab and compare with results of RLS algorithm. At the results, proposed method has a better performance than those of RLS and verify the estimation performance in the parameter estimation.

A Study of the Intelligent Connection of Intrusion prevention System against Hacker Attack (해커의 공격에 대한 지능적 연계 침입방지시스템의 연구)

  • Park Dea-Woo;Lim Seung-In
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.2 s.40
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    • pp.351-360
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    • 2006
  • Proposed security system attacks it, and detect it, and a filter generation, a business to be prompt of interception filtering dates at attack information public information. inner IPS to attack detour setting and a traffic band security, different connection security system, and be attack packet interceptions and service and port interception setting. Exchange new security rule and packet filtering for switch type implementation through dynamic reset memory by real time, and deal with a packet. The attack detection about DDoS, SQL Stammer, Bug bear, Opeserv worm etc. of the 2.5 Gbs which was an attack of a hacker consisted in network performance experiment by real time. Packet by attacks of a hacker was cut off, and ensured the normal inside and external network resources besides the packets which were normal by the results of active renewal.

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A Study on NPC Grouping of 3D Game using Gabor Characteristics (가버 특성을 이용한 3D 게임의 NPC 그룹핑에 관한 연구)

  • Park, Chang-Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.12
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    • pp.2836-2842
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    • 2010
  • An NPC grouping method is proposed for various 3D games depending on their characteristics. Immovable objects tend to have particular orientation features in their Gabor filtering results whereas the movable objects controlled by AI appearing as a human or an animal do not. First of all, We analyzed directional and frequency domain features in the NPC object and configured them as 24 Gabor filter banks. Then, 24-dimensional feature vectors according to the scale and direction of the filter are calculated. Each extracted vector represents the energy of a certain direction. This energy indicates the particular direction strength of the object texture. Thus, using this property, NPCs could be grouped as artificial objects and natural objects effectively and it draws the game more speed and strategic actions as a result.

A Study on Improvement of Wegmann's method by Low Frequency pass Filter (저주파 필터를 이용한 Wegmann 방법의 개량에 관한 연구)

  • Song, Eun-Jee
    • The KIPS Transactions:PartA
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    • v.8A no.4
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    • pp.503-508
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    • 2001
  • Conformal mapping is useful to solve problems in heat conduction, electrostatic potential and fluid flow involving Laplace's equation in two independent variables. Determinations of conformal maps from the unit disk onto a Jordan region eventually requires solving the Theodorsen equation which is in general nonlinear with respect to the boundary correspondence function. H bner's method which has been well known for the efficient method among the many suggestions for the Theodorsen equation, was improved in early study[1, 2]. In this paper Wegmann's method is treated that is more efficient in computation cost rather than H bner's. But we found that a question which is divergent in some difficult problems by numerical experiment of Wegmann's iteration. We analyze theoretically the cause of divergence and propose an improved method by applying a low frequency filter to the Wegmann's method. Numerical experiments by our improved method show convergence for all divergent problems by Wegmann's method.

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Efficient VLSI Architecture of Full-Image Guided Filter Based on Two-Pass Model (양방향 모델을 적용한 Full-image Guided Filter의 효율적인 VLSI 구조)

  • Lee, Gyeore;Park, Taegeun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.11
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    • pp.1507-1514
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    • 2016
  • Full-image guided filter reflects all pixels of image in filtering by using weight propagation and two-pass model, whereas the existing guide filter is processed based on the kernel window. Therefore the computational complexity can be improved while maintaining characteristics of guide filter, such as edge-preserving, smoothing, and so on. In this paper, we propose an efficient VLSI architecture for the full-image guided filter by analyzing the data dependency, the data frequency and the PSNR analysis of the image in order to achieve enough speed for various applications such as stereo vision, real-time systems, etc. In addition, the proposed efficient scheduling enables the realtime process by minimizing the idle period in weight computation. The proposed VLSI architecture shows 214MHz of maximum operating frequency (image size: 384*288, 965 fps) and 76K of gates (internal memory excluded).

Hardware Design of Bilateral Filter Based on Window Division (윈도우 분할 기반 양방향 필터의 하드웨어 설계)

  • Hyun, Yongho;Park, Taegeun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.12
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    • pp.1844-1850
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    • 2016
  • The bilateral filter can reduce the noise while preserving details computing the filtering output at each pixels as the average of neighboring pixels. In this paper, we propose a real-time system based on window division. Overall performance is increased due to the parallel architectures which computes five rows in the kernel window simultaneously but with pipelined scheduling. We consider the tradeoff between the filter performance and the hardware cost and the bit allocation has been determined by PSNR analysis. The proposed architecture is designed with verilogHDL and synthesized using Dongbu Hitek 110nm standard cell library. The proposed architecture shows 416Mpixels/s (397fps) of throughput at 416MHz of operating frequency with 132K gates.

Numerical Simulation of Flows inside a Photocatalysis Air Cleaning System for Performance Assessment (광촉매 공기청정 시스템 성능예측을 위한 시스템 내부 유동현상에 관한 수치모사)

  • Sohn, Deok-Young;Lee, Du-Hwan;Gill, Jae-Heung;Choi, Yun-Ho;Kim, Dong-Hyun
    • Clean Technology
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    • v.8 no.3
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    • pp.141-149
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    • 2002
  • In the present study, flow fields inside a photocatalysis air cleaning system have been investigated to obtain the data for optimum design of the system. For this investigation, we first predicted the pressure drop of a photocatalysis filter. Based on this calculation, we replaced the filter by the porous media and analysed the performance of the entire system. This porous media assumption could predict characteristics of the cylindrical photocatalysis filter within 1%. Two cases of the cylindrical filter were considered in the present calculations. The first case had an inside diameter of 6 mm, while the second case had an inside diameter of 20 mm. It was found that the first case of filter showed a pressure drop three times higher than that of the second case. In addition, the cylindrical filter equipped with a housing to hold a number of cylinders in a bundle was also analyzed. When the housing was present, the pressure drop increased. It was found that the pressure drop is 8 times higher than that of the case when the housing was not equipped.

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A Study on the Smart Filter System for External Environment Recognition (외부환경 인식용 스마트 필터 시스템에 대한 연구)

  • Seo, Do-Won;Yoon, Keun-Young
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.271-278
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    • 2021
  • This paper is a study on the implementation of smart filter system that recognizes the external environment and automatically removes pollutants according to pollution level. Recently, the occurrence of various pollutants in indoor and outdoor space has adversely affected the human body. Especially, various fine dust generated in the atmosphere becomes worse in closed residential space or office space. Although air pollution can be temporary lowered through ventilation, it is difficult to respond to fine dust changes in real time, and such problems become serious in the space where many people reside, such as at home or industry. Therefore, it is necessary to measure the pollution level of fine dust inside the residential space in real time and to reduce the pollution of indoor ventilation through automatic ventilation with the outside. To improve these problems, this paper proposes the implementation of smart filter system for external environment recognition. The structure of smart filter system that automatically measures air quality inside and outside, removes pollutants, implements the function, and confirms the operability by manufacturing prototypes. Finally, the effectiveness of the smart filter system for solving fine dust problems was examined.

Estimation of Single Vegetation Volume Using 3D Point Cloud-based Alpha Shape and Voxel (3차원 포인트 클라우드 기반 Alpha Shape와 Voxel을 활용한 단일 식생 부피 산정)

  • Jang, Eun-kyung;Ahn, Myeonghui
    • Ecology and Resilient Infrastructure
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    • v.8 no.4
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    • pp.204-211
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    • 2021
  • In this study, information on vegetation was collected using a point cloud through a 3-D Terrestrial Lidar Scanner, and the physical shape was analyzed by reconfiguring the object based on the refined data. Each filtering step of the raw data was optimized, and the reference volume and the estimated results using the Alpha Shape and Voxel techniques were compared. As a result of the analysis, when the volume was calculated by applying the Alpha Shape, it was overestimated than reference volume regardless of data filtering. In addition, the Voxel method to be the most similar to the reference volume after the 8th filtering, and as the filtering proceeded, it was underestimated. Therefore, when re-implementing an object using a point cloud, internal voids due to the complex shape of the target object must be considered, and it is necessary to pay attention to the filtering process for optimal data analyzed in the filtering process.

Digital Switching Filter Algorithm using Modified Fuzzy Weights and Combined Weights in Mixed Image Noise Environment (복합 영상 잡음 환경에서 변형된 퍼지가중치 및 결합가중치를 사용한 디지털 스위칭 필터 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.645-651
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    • 2021
  • With the advent of the Fourth Industrial Revolution, modern society uses a diverse pool of devices. In this context, there is increasing interest in removing various kinds of noise arising in data transmission. However, it is difficult to restore image that damaged by mixed noise, and a digital filter that effectively restores an image according to the characteristics of the noise is required. In this paper, we propose a digital switching filter algorithm to remove mixed noise generated during digital image transmission. The proposed algorithm switches the filtering process through noise judgment and reconstructs the image using fuzzy weights and combined weights based on the pixel values inside the mask. To evaluate the proposed algorithm, we compared it with existing filter algorithms through simulation. Filtering results were expanded and compared for visual evaluation, and PSNR comparison was used for quantitative evaluation.