• Title/Summary/Keyword: Effective Uses

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Treatment of Heavy Metal Wastewater by Pricipitation and Adsorption (침전법과 흡착법을 이용한 중금속 처리)

  • 심순보;이요상
    • Proceedings of the Korea Water Resources Association Conference
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    • 1992.07a
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    • pp.325-328
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    • 1992
  • The purpose of this research is to develop the technique of heavy metal removal from wastewater. The research is divided into two parts, one part uses complex precipitation and the other uses adsorption. In the first part of the study, humic acid is used as the complex agent, humic acid is a polyelectrolyte with a high complexation affinity. Lead, copper, zinc and cadmium were studied for their complex precipitation efficiencies. In the batch studies, humic acid was effective in removing 100% of the lead and 48.2% of the copper respectively from wastewater without anytreatment. The efficiency of cadmium and zinc, however, was very low. In the second part of the study, wastewater is introduced at the top of a silicagel adsorption column and then bottom effluent concentration is analyzed. The results of the analysis are used to draw a breakthrough curve.

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Development of the Intelligent Multi-Casting System (지능형 멀티 캐스팅 방송 시스템의 개발)

  • Lim Chan-Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.10 no.4
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    • pp.90-96
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    • 2005
  • This paper develops a multi-casting system could be used in a school and hospital and government and municipal public offices. The developed multi-casting system uses various educational multimedia titles effectively and is capable of remote control by using a network(LAN). The developed system includes speaker control module that make individual or group broadcasting, AV contents control module for using a diverse educational multimedia title effectively and light control module. The system uses RS-485C communication module and the effective control system interface based on GUI.

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A Study on Function Discrimination for EMG Signals Using Neural Network and Fuzzy Filter (신경회로망과 퍼지필터를 사용한 근전도신호의 기능변별에 관한 연구)

  • 장영건;홍승홍
    • Journal of Biomedical Engineering Research
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    • v.15 no.3
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    • pp.355-364
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    • 1994
  • The most important requirement for the controller of a prosthetic arm is that it has a high fidelity discriminator where the motion control may be performed open loop using EMG signals as a control source. Therefore, it is very effective method to reduce the influence of misclassification of classifier for the total system performance. This paper presents the new function discrimination method which combines MLP classifier and frizzy filter by stages for the requirement. The major advantage of MLP is a consistent learning capability for the easy adaptation to environments. The fuzzy filter uses all informations of MLP outputs and prior EMG activity informations which increase as the experience increases. That property is superior to one which uses maximum output of MLP in view of information amounts and quality. Simulation result shows that proposed method is superior to the probabilistic model, MLP model and the combined model of both in the respect of discrimination quaity.

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Software Development of Generalized Linear/Goal Programming for Microcomputer (일반화된 선형/목표계획법의 마이크로컴퓨터용 소프트웨어 개발)

  • 차동완;고재문;이원택
    • Journal of the Korean Operations Research and Management Science Society
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    • v.11 no.1
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    • pp.51-58
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    • 1986
  • The propose of this study is to presnet a generalized linear/goal programming software, which has been developed to run on mickrocomputers with at least 512 K bytes of memory. The main characteristics of our algorithm for solving LP/GP problems are outlined as follows ; First, it uses the revised simplex algorithm, which is the most efficient computational procedure for computers. Second, it employs the sparse matrix technique to overcome the limited memory of microcomputers. Last, it uses the modified product form of invers (MPFI) to reduce round-off errors. The test runs with our code written in FORTRAN show that it can be used as an effective tool for solving linear/goal programming problems of considerable size.

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A Novel Filter ed Bi-Histogram Equalization Method

  • Sengee, Nyamlkhagva;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.18 no.6
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    • pp.691-700
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    • 2015
  • Here, we present a new framework for histogram equalization in which both local and global contrasts are enhanced using neighborhood metrics. When checking neighborhood information, filters can simultaneously improve image quality. Filters are chosen depending on image properties, such as noise removal and smoothing. Our experimental results confirmed that this does not increase the computational cost because the filtering process is done by our proposed arrangement of making the histogram while checking neighborhood metrics simultaneously. If the two methods, i.e., histogram equalization and filtering, are performed sequentially, the first method uses the original image data and next method uses the data altered by the first. With combined histogram equalization and filtering, the original data can be used for both methods. The proposed method is fully automated and any spatial neighborhood filter type and size can be used. Our experiments confirmed that the proposed method is more effective than other similar techniques reported previously.

Application of Spectral Mixture Analysis to Geological Mapping using LANDSAT 7 ETM+ and ASTER Images: Mineral Potential Mapping of Mongolian Plateau

  • Kim Seung Tae;Lee Kiwon
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.425-427
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    • 2004
  • Motivation of this study is based on these two aspects: geologic uses of ASTER and application scheme of Spectral Mixture Analysis. This study aims at geologic mapping for mineral exploration using ASTER and LANDSAT 7 ETM+ at Mongolian plateau region by SMA. After basic pre-processing such as the normalization, geometric corrections and calibration of reflectance, related to endmembers selection and spectral signature deviation, both methods using spectral library and using PPI(Pixel Purity Index) are performed and compared on a given task. Based on these schemes, SMA is performed using LANDSAT 7 ETM+ and ASTER image. As the results, fraction map showing geologic rock types are enough to meet purposes such as geologic mapping and mineral potential mapping in the case of both uses of these different types of remotely sensed images. It concluded that this approach based on SMA with LANDSAT and ASTER is regarded as one of effective schemes for geologic remote sensing.

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A Study on the High Speed Curve Generator Using 1-Dimensional Systolic Array Processor (1차원 시스톨릭 어레이 프로세서를 이용한 고속 곡선 발생기에 관한 연구)

  • 김용성;조원경
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.5
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    • pp.1-11
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    • 1994
  • In computer graphics since objects atre constructed by lines and curves, the high-speed curve generator is indispensible for computer aided design and simulatation. Since the functions of graphic generation can be represented as a series of matrix operations, in this paper, two kind of the high-speed Bezier curve generator that uses matrix equation and a recursive relation for Bezier polynomials are designed. And B-spline curve generator is designed using interdependence of B-spline blending functions. As the result of the comparison of designed curve generator and reference [5], [6] in the operation time and number of operators, the curve generator with 1-dimensional systolic array processor for matrix vector operation that uses matrix equation for Bezier curve is more effective.

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Microplane Model for RC Planar Members in Tension-Compression (인장-압축상태의 철근콘크리트 면 부재를 위한 미소면 모델)

  • 박홍근;김학준
    • Proceedings of the Korea Concrete Institute Conference
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    • 2000.10a
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    • pp.279-284
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    • 2000
  • The existing microplane models for concrete ust three-dimensional spherical microplanes even in the analyses for two-dimensional members. Also, they can not describe accurately the post-cracking behavior of reinforced concrete in tension-compression. In this study, a new microplane model that is appropriate for the analyses of reinforced concrete planar members was developed to complement these disadvantages of the existing models. The proposed microplane model uses disk microplanes instead of the existing spherical ones. This new model is effective in numerical analysis because it uses less number of microplanes and two-dimensional stresses. Also, in this microplane model a concept of strain boundary was introduced to describe compressive behavior of reinforced concrete in tension-compression.

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Active Noise Transmission Control Through a Panel Structure Using a Frequency Domain Identification Method (주파수 영역 모델 방법을 이용한 평판 구조물의 능동 소음전달 제어)

  • Kim, Yeung-Shik;Kim, In-Soo;Moon, Chan-Young
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.9
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    • pp.71-81
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    • 2001
  • This paper analyzes the effectiveness of minimizing vibration and sound transmission on/through a thin rectangular plate by both feedback control and hybrid control which combines adaptive feedforward control with a feedback loop. An experimental system identification technique using the matrix-fractional curve-fitting of the frequency response data is introduced for complex shaped structures. This identification technique reduces the model order o the MIMO(Multi-Input Multi-Output) system which simplifies the practical implementation. The adaptive feedforward control uses a Multiple filtered-x LMS(Least Mean Square) algorithm and the feedback control uses a multivariable digital LQG(Linear Quadratic Gaussian) algorithm. Experimental results show that an effective reduction of sound transmission is achieved by the hybrid control scheme when both vibration and noise measurement signals are incorporated in the controller.

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A Best-First Branch and Bound Algorithm for Unweighted Unconstrained Two-Dimensional Cutting Problems (비가중 무제한 2차원 절단문제에 대한 최적-우선 분지한계 해법)

  • Yoon, Ki-Seop;Yoon, Hee-Kwon;Kang, Maing-Kyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.1
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    • pp.79-84
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    • 2009
  • In this paper, a best-first branch and bound algorithm based upon the bottom-up approach for the unweighted unconstrained two-dimensional cutting problem is proposed to find the optimal solution to the problem. The algorithm uses simple and effective methods to prevent constructing duplicated patterns and reduces the searching space by dividing the branched node set. It also uses a efficient bounding strategy to fathom the set of patterns. Computational results are compared with veil-known exact algorithms and demonstrate the efficiency of the proposed algorithm.