• Title/Summary/Keyword: searching method

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Subsurface Characterization using the Simultaneous Search based Pilot Point Method (SSBM) in Various Data Applications (지하수 흐름특성 분석을 위한 동시 검색기반 파일럿 포인트 방법 적용 - 다양한 데이터 활용 기반)

  • Jung, Yong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.5
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    • pp.579-586
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    • 2019
  • Pilot Point Method (PPM) is one of the popular methods to search hydraulic conductivities in the inverse method using groundwater flow equations. In this study, the Simultaneous Search based Pilot Point Method (SSBM) was applied with diverse information (e.g. hydraulic heads and/or tracer concentration) applications over previously developed sensitivity based Pilot Point Method (e.g. D-optimality based Pilot Point Method: DBM). In the case of DBM, due to the minimized the variance size, tracer concentration can be recognized as a tool to control the searching space of hydraulic conductivities. SSBM reduced the procedure of hydraulic conductivity searching, though it produced more variance for exploring hydraulic conductivities. In addition, SSBM was dependent on the initial hydraulic conductivity values for search finalized hydraulic conductivities. When tracer concentration was applied, searching hydraulic conductivities was more preferable than only when hydraulic head was applied. Applications of various data for searching hydraulic conductivities is recommended as a more efficient way.

Design and Implementation of Product Searching System on Internet using the Association Mining and Customer's Preference (연관 마이닝과 고객 선호도 기반의 인터넷 상품 검색 시스템 설계 및 구현)

  • Hwang, Hyun-Suk;Eh, Youn-Yang
    • Asia pacific journal of information systems
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    • v.12 no.1
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    • pp.1-16
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    • 2002
  • Most of searching systems used by shopping-mall provide too much information for user requirements or fail to provide appropriate items reflecting customer's preference. This paper aims to design and implement the product searching systems based on customer preference which will enable efficient product selection in the internet shopping-mall. The proposed system consists of user/provider interface, searching and model agent, data management system, and model management system. Especially, we construct the searching pattern database to support fast search using association mining method. And this system includes the customer-oriented decision model which shows the highly preferred products. Input weight value per attribute and preference level should be needed to compute priority grade of preference.

The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network (유전자와 역전파 알고리즘을 이용한 효율적인 윤곽선 추출)

  • Park, Chan-Lan;Lee, Woong-Ki
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.11
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    • pp.3010-3023
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    • 1998
  • GA has a fast convergence speed in searching the one point around optimal value. But it's convergence time increase in searching the region around optimal value because it has no regional searching mechanism. BP has the tendency to converge the local minimum because it has global searching mechanism. To overcome these problems, a method in which a genetic algorithm and a back propagation are applied in turn is proposed in this paper. By using a genetic algorithm, we compute optimal synaptic strength and offset value. And then, these values are fed to the input of the back propagation. This proposed method is superior to each above method in improving the convergence speed.

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A Novel Video Stitching Method for Multi-Camera Surveillance Systems

  • Yin, Xiaoqing;Li, Weili;Wang, Bin;Liu, Yu;Zhang, Maojun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.10
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    • pp.3538-3556
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    • 2014
  • This paper proposes a novel video stitching method that improves real-time performance and visual quality of a multi-camera video surveillance system. A two-stage seam searching algorithm based on enhanced dynamic programming is proposed. It can obtain satisfactory result and achieve better real-time performance than traditional seam-searching methods. The experiments show that the computing time is reduced by 66.4% using the proposed algorithm compared with enhanced dynamic programming, while the seam-searching accuracy is maintained. A real-time local update scheme reduces the deformation effect caused by moving objects passing through the seam, and a seam-based local color transfer model is constructed and applied to achieve smooth transition in the overlapped area, and overcome the traditional pixel blending methods. The effectiveness of the proposed method is proved in the experiements.

A Study on Improving Voice Quality and Pitch Searching of the VSELP Coder (VSELP 부호화기의 음질 및 주기탐색 개선에 관한 연구)

  • 성기철;문상재
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.4
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    • pp.740-749
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    • 1994
  • This paper presents method for improving the performance of the VSELP speech coder. The hybrid method is employed for pitch period searching. Pitch searching time is reduced and pitch detection error, caused by quantization error of excitation signal of encoder in VSELP coder, is reduced by this method. This paper also adopts a pitch period enhancement filter and an adaptive first order filter. In this result, pitch period searching time is reduced to 26%, and MOS of reconstructed speech signal is increased by 3.19 to 4.04.

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A Study on the Support location Optimizations of the Beams using the Genetic Algorithm and the Sensitivity Analysis. (민감도가 고려된 유전 알고리듬을 이용한 보 구조물의 지지점 최적화에 관한 연구)

  • 이재관;신효철
    • Journal of KSNVE
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    • v.10 no.5
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    • pp.783-791
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    • 2000
  • This describes a study on the support location optimizations of the beams using the genetic algorithm and the sensitivity analysis. The genetic algorithm is a probabilistic method searching the optimum at several points simultaneously and requiring only the values of the object and constraint functions. It has therefore more chances to find the global solution and can be applied to the various problems. Nevertheless, it has such a shortcoming that it takes too many calculations, because it is ineffective in local search. While the traditional method using sensitivity analysis is of great advantage in searching the near optimum. thus the combination of the two techniques will make use of the individual advantages, that is, the superiority in global searching form the genetic algorithm and that in local searching form the sensitivity analysis. In this thesis, for the practical applications, the analysis is conducted by FEB ; and as the shapes of structures are taken as the design variation, it requires re-meshing for every analysis. So if it is not properly controlled, the result of the analysis is affected and the optimized solution amy not be the real one. the method is efficiently applied to the problems which the traditional methods are not working properly.

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Cell Searching and DoA Estimation Methods for a Mobile Relay Station with a Uniform Circular Array (원형 등간격 어레이를 갖는 이동 릴레이의 셀 탐색과 입사각 추정기법)

  • Ko, Yo-Han;Kim, Yeong-Jun;Yoo, Hyun-Il;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9A
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    • pp.664-672
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    • 2009
  • In this paper, joint methods of cell searching and Direction-of-Arrival (DoA) estimation for a mobile relay station with a uniform circular array are proposed. The proposed joint estimation method for the mobile relay station is robust even when there exist symbol timing offsets between the signals received from adjacent base stations. Also, the proposed joint estimation method can reduce computational complexity and processing time, compared with the case where cell searching and DoA estimation are performed separately. Performances of the proposed method are evaluated by computer simulation under Mobile WiMAX environment.

The Reduction of the Searching Candidates for the GPS Signal Acquisition (GPS 초기 동기를 위한 탐색 후보 축소)

  • 서흥석;강설묵;이상정
    • Journal of the Korea Institute of Military Science and Technology
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    • v.6 no.1
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    • pp.91-107
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    • 2003
  • A 2-dimensional search process in the time and frequency domain is required to acquire the GPS signal, when the code phase and the carrier Doppler for the specified GPS satellite signal are unknown. This paper proposes a new scheme, called Squared-D Searching Method, which can reduce the number of carrier frequency candidates, and a new scheme, named extended Multiple Correlator(XMC), which can reduce the number of code phase candidates. The Squared-D Searching Method can take the twice of Doppler frequency, therefore it can find carrier frequency candidates. The XMC is different from the general multiple correlator in that a combined form of the locally generated codes is used for despreading. Also, this paper tries to analyze a signal detection probability of a GPS receiver under more realistic environments. The result shows that lower detection probability can be obtained when the phase differences among the codes are larger in the correlation arms of a multiple correlator. This phenomenon is not easy to explain with the previous results. And besides, the result shows that proposed acquisition schemes give better performance than a conventional acquisition scheme.

RDF Triple Processing Methodology for Web Service in Semantic Web Environment (시맨틱 웹 환경에서 웹 서비스를 위한 RDF Triple 처리기법)

  • Jeong Kwan-Ho;Kim Pan-Koo;Kim Kweon-Cheon
    • Journal of Internet Computing and Services
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    • v.7 no.2
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    • pp.9-21
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    • 2006
  • Researches on enhancing the searching function of the web service using the ontology concept have been studying. One of them suggests a searching method for UDDI using DAML and DAML+OIL. However this approach has inconveniences to use operations proper to the circumstance and to define respective ontologies according to them. To solve these problems, we introduce an effective method of dealing with N-Triple, filtering care Triples, merging Triples, semantic connection between Triples and searching Triples for searching information and recommending the results in semantic web environment. Furthermore, we implement this proposed method in a system to test it. Finally, we test the system in the virtual semantic web environment for out research analysis.

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A Study on the Prediction Technical for Critical Slip surface Using Genetic Algorithm (유전자 알고리즘을 이용한 사면의 임계파괴면 예측기법에 관한 연구)

  • 김홍택;강인규;황정순;장원호
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.03a
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    • pp.331-338
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    • 1999
  • In the present study, a searching technique for critical slip surface in two dimensional slope stability analysis is proposed. The failure surface generation and analysis has been usually limited to simple geometric shapes. However, more random surfaces need to be examined for some particular ground conditions. For this purpose, random searching technique is developed using genetic algorithm. The generalized limit equilibrium method is employed as the method of stability analysis. Using this technique, the factor of safety is compared with the result by using simplified Bishop's method. In addition, the convergent trend of fitness value is analyzed.

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