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A Study on Image Segmentation and Tracking based on Fuzzy Method (퍼지기법을 이용한 영상분할 및 물체추적에 관한 연구)

  • Lee, Min-Jung;Jin, Tae-Seok;Hwang, Gi-Hyung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.3
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    • pp.368-373
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    • 2007
  • In recent year s there have been increasing interests in real-time object tracking with image information. This dissertation presents a real-time object tracking method through the object recognition based on neural networks that have robust characteristics under various illuminations. This dissertation proposes a global search and a local search method to track the object in real-time. The global search recognizes a target object among the candidate objects through the entire image search, and the local search recognizes and track only the target object through the block search. This dissertation uses the object color and feature information to achieve fast object recognition. The experiment result shows the usefulness of the proposed method is verified.

A New Subspace Search-based Method for MIMO Systems (MIMO 시스템에서 부분 검색 공간 기반의 검파기법)

  • Nam, Sang-Ho;Ko, Kyun-Byoung;Hong, Dae-Sik
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.48 no.5
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    • pp.25-32
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    • 2011
  • In this paper, we propose a subspace search-based detector (SSD) with low-complexity to achieve near optimal performance for multiple-input multiple-output systems. As an effective solution to reduce the prohibitive computational complexity of the optimal maximum likelihood detector, a partial candidate symbol vector is generated through a partitioned search space but not the entire search space. In addition, based on a partial candidate symbol vector, an ensemble candidate symbol vector generation considering the whole search space is introduced to produce a near optimal solution. As a result, the proposed SSD achieves near-maximum-likelihood performance while having a significantly reduced computational complexity.

Analysis of the Problem of fire Qualification Information and Employment Information Due to Incomplete Information in the Job Search Process

  • Kong, Ha-Sung
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.92-96
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    • 2019
  • This study analyzes the problems of fire qualification information websites and job search websites due to incomplete information in the job search process and suggests an improvement plan. It has been confirmed that the main reason for the cost of job searching is incomplete information required for a job search and job search through existing analysis. As a result, it is suggested to construct a smooth information system for economic entities and to provide easy access to information by mitigating the incompleteness of information. Based on this, analysis of the problems of Korean qualifications in the firefighting realm reveals that there is a qualification holder information and a job information site, and a qualification holder management system is established but only information of either qualification acquisition information or employment information is provided. In addition, it is easy to access information through a qualification acquisition information and employment information site via the Internet, but there are inconveniences that qualification acquisition information and employment information are dualized. In order to improve this, it is necessary to build a new customized integrated qualification management system that covers existing Q-net qualification acquisition information and worknet employment information.

A Study on the Impact of TV ad Exposure on Search Volumes on App-based Service Brands: Focusing on the Moderating Effect of Industry Type and Search Language Type (앱기반 서비스 브랜드의 TV 광고 노출량이 검색량에 미치는 영향: 업종유형 및 검색언어 유형의 조절효과를 중심으로)

  • Kim, Donna;Moon, Yoon Taek
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.284-298
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    • 2021
  • In addition to awareness building, TV media creates search behavior for the brand and the search result may link to a brand homepage and/or an e-commerce site. This study analyzed the impact of TV advertisements on a search volume at NAVER, a leading Korean search platform, in order to verify the impact of TV advertisements on brand-related search behavior. Results are as follows. TV advertisement exposure was significantly related to the amount of Korean search, English search, and total search. In addition, changes in TV advertising exposure also had a significant static influence on changes in search volume. The increase in the number of brand search was different by industries that carried out TV advertisements, and it was verified that the frequency of English searches increased faster than the frequency of Korean search as the exposure of TV advertisements increased. Therefore, domestic TV advertising volume has been verified to affect NAVER search volume, and the advertising industry and brand search language that conducted TV advertisements have been verified to be moderating variables. TV advertisements can be interpreted to cause brand search behavior in English even though it is not a native language for Koreans.

Multivariate Analysis of Factors for Search on Suicide Using Social Big Data (소셜 빅 데이터를 활용한 자살검색 요인 다변량 분석)

  • Song, Tae Min;Song, Juyoung;An, Ji-Young;Jin, Dallae
    • Korean Journal of Health Education and Promotion
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    • v.30 no.3
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    • pp.59-73
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    • 2013
  • Objectives: The study is aimed at examining the individual reasons and regional/environmental factors of online search on suicide using social big data to predict practical behaviors related to suicide and to develop an online suicide prevention system on the governmental level. Methods: The study was conducted using suicide-related social big data collected from online news sites, blogs, caf$\acute{e}$s, social network services and message boards between January 1 and December 31, 2011 (321,506 buzzes from users assumed as adults and 67,742 buzzes from those assumed as teenagers). Technical analysis and development of the suicide search prediction model were done using SPSS 20.0, and the structural model, nd multi-group analysis was made using AMOS 20.0. Also, HLM 7.0 was applied for the multilevel model analysis of the determinants of search on suicide by teenagers. Results: A summary of the results of multivariate analysis is as follows. First, search on suicide by adults appeared to increase on days when there were higher number of suicide incidents, higher number of search on drinking, higher divorce rate, lower birth rate and higher average humidity. Second, search on suicide by teenagers rose on days when there were higher number of teenage suicide incidents, higher number of search on stress or drinking and less fine dust particles. Third, the comparison of the results of the structural equation model analysis of search on suicide by adults and teenagers showed that teenagers were more likely to proceed from search on stress to search on sports, drinking and suicide, while adults significantly tended to move from search on drinking to search on suicide. Fourth, the result of the multilevel model analysis of determinants of search on suicide by teenagers showed that monthly teenagers suicide rate and average humidity had positive effect on the amount of search on suicide. Conclusions: The study shows that both adults and teenagers are influenced by various reasons to experience stress and search on suicide on the Internet. Therefore, we need to develop diverse school-level programs that can help relieve teenagers of stress and workplace-level programs to get rid of the work-related stress of adults.

A Study on the Factors Influencing Cost-per-Click of Sponsored Search Advertising (키워드 검색광고에서 클릭당 단가 결정에 영향을 미치는 요인에 대한 연구)

  • Sim, Gwang-Seop;Kim, Jong-U
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.425-434
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    • 2007
  • The sponsored search has become significant channel of online advertising, and the large sized advertisers have appeared, so the sponsored search strategy is becoming more important. Since CPC(Cost-per-Click) advertising has different price according to keyword, it is difficult to manage the a lot of keywords at one time. So, the purpose of this study is to investigate the factors which influence on the cost-per-click of sponsored search advertising. That is, there are four factors: impression, CTR(Click through Rate), conversion rate, and keyword's length. for the regression analysis, we use the actual data which is gotten from an ad agency. The result of that, the impression and keyword's length influence cost-per-click positively. However, CTR & conversion rate have no influence on it unexpectedly.

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Tree search approach to the control of a pendulum

  • Xia, Yuou;Inooka, Hikaru
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.413-418
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    • 1992
  • This paper presents a tree search technique to solve the dynamic control problems. To illustrate the proposed procedure, the swinging control of a pendulum carried by a motor-driven cast is discussed as an example. Since the control system is of two degrees and the control problem is a nonlinear one, it is difficult to determine a swinging control rule analytically. However, by means of the proposed tree search approach, the problem can be solved in a relatively easy way. Some numerical calculations axe performed to verify the methodology. The result of the study shows that the proposed tree search technique is suitable for the dynamic control problems, in particular, for the complicated nonlinear dynamic control problem.

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The Research of Reducing the Fixed Codebook Search Time of G.723.1 MP-MLQ (G.733.1 MP-MLQ 고정 코드북 검색 시간 단축에 관한 연구)

  • 김정진;장경아;목진덕;배명진;홍성훈;성유나
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.1131-1134
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    • 1999
  • In general CELP type vocoders provide good speech quality around 4.8kbps. Among them, G.723.1 developed for Internet Phone and videoconferencing includes two vocoders, 5.3kbps ACELP and 6.3kbps MO-MLQ. Since 6.3kbps MP-MLQ requires large amount of computation for fixed codebook search, it is difficult to realize real time processing. In order to improve the problem this paper proposes the new method that reduces the processing time up to about 50% of codebook search time. We first decide the grid bit, then search the codebook. Grid bit is selected by comparison between synthetic speech, which is synthesized with only odd or even pulses of target vector. and DC removed original speech. As a result, we reduced the total processing time of G.723.1 MP-MLQ up to about 26.08%. In objective quality test 11.19㏈ of segSNR was obtained, and in subjective quality test there was almost no speech degradation.

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Improvement of Convergence Rate by Line Search Algorithm in Nonlinear Finite Element Method (비선형 유한요소법에서 선탐색 알고리즘의 적용에 의한 수렴속도의 개선)

  • Koo, Sang-Wan;Kim, Nak-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.8
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    • pp.1281-1286
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    • 2003
  • A line search algorithm to increase a convergence in Newton's method is developed and applied to nonlinear finite element analysis. The algorithm is based on the slack line search theory which is an efficient algorithm to determine initial acceleration coefficient, variable backtracking algorithm proposed by some researchers, and convergence criterion based on residual norm. Also, it is capable of avoiding exceptional diverging conditions. Developed program is tested in metal forming simulation such as forging and ring rolling. Numerical result shows the validity of the algorithm for a highly nonlinear system .

Experimental Study on Optimization of Slab Form Design Using Harmonic Search Algorithm (하모닉 알고리즘을 활용한 슬래브 거푸집 디자인 최적화에 관한 실험적인 연구)

  • Jang, Indong;Yi, Chongku
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.185-186
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    • 2018
  • The slabfrom, which is commonly used in construction sites, has drawbacks in that the workability of the workers is reduced due to their heavy weight. This study investigates the possibility of design optimization of euro form between structural stability and weight using harmonic search algorithm. The harmonic search algorithm is a metaheuristic optimization technique that obtains multiple optimal solution candidates through iterative. As a result of multiple attempts of optimization through the algorithm, it was possible to design the formwork which is structurally stable and light in weight than the existing formwork.

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