• 제목/요약/키워드: local best

검색결과 860건 처리시간 0.03초

중속 디젤엔진 국부 구조물의 진동저감 연구 (A Study on Vibration Reduction of Local Structure of Medium-speed Diesel Engine)

  • 정건화;이준호;손정호;류영석
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2011년도 추계학술대회 논문집
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    • pp.257-261
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    • 2011
  • The failures of local structure of marine medium-speed diesel engine occurred in durability test. The vibration response of the whole engine was in an acceptance level, but the local structures were broken. ODS test and vibration measurement were carried out in order to investigate the root cause of durability problem. These tests revealed that the root cause of failures was excessive vibration by $4.5^{th}$ resonance between engine body and local structure. The best solution to reduce the vibration response is to change the type of mount. After a rigid mount was replaced by a flexible mount, maximum vibration level dropped to 72%.

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집합 커버링 문제를 위한 정수계획법 기반 지역 탐색 (An Integer Programming-based Local Search for the Set Covering Problem)

  • 황준하
    • 한국컴퓨터정보학회논문지
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    • 제19권10호
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    • pp.13-21
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    • 2014
  • 집합 커버링 문제는 대표적인 조합 최적화 문제들 중 하나로서 n개의 열로부터 일부를 선택하여 m개의 행을 커버하되 비용을 최소화하는 문제로 정의된다. 본 논문에서는 집합 커버링 문제를 해결하기 위한 정수 계획법 기반 지역 탐색의 적용 방안을 제시하고 있다. 정수계획법 기반 지역 탐색은 이웃해를 탐색하여 현재해를 반복적으로 개선하는 지역 탐색 기법의 일종으로서 이웃해를 생성하기 위한 알고리즘으로 정수계획법을 사용한다. 본 논문에서 제시한 기법의 효과를 검증하기 위해 OR-Library의 테스트 데이터를 대상으로 실험을 수행하였다. 실험 결과, 모든 테스트 데이터에 있어서 정수계획법 기반 지역 탐색을 통해 지금까지 알려진 가장 좋은 해를 탐색할 수 있었다. 특히 4개의 테스트 데이터에 대해서는 지금까지 알려진 가장 좋은 해보다 더 좋은 해를 도출할 수 있음을 확인할 수 있었다.

지리적 접근성을 이용한 도시지역 보건지소의 입지선정 (Determining the Location of Urban Health Sub-center According to Geographic Accessibility)

  • 이건세;김창엽;김용익;신영수
    • Journal of Preventive Medicine and Public Health
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    • 제29권2호
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    • pp.215-225
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    • 1996
  • Decentralization to local governments and amending of Health Center Law are to promote the efforts of health planning at the level of local agencies. In the health facility planning, it is important to take into account that what to be built, where to be located, how far should be service area and so forth, because health facilities are immovable, and require capital as well as personnel and consumable supplies. The aim of our study, answering to the question of 'where to be located?', is to determine the best location of urban health sub-center. At the local level, planning is the matter of finding the best location of specific facilitiy, in relation to population needs. We confine the accessibility, which is basic to location planning, to geographic one. Location-Allocation Model is used to solve the problem where the location is to maximize geographic accessibility. To minimize the weighted travel distance, objective function, $R_k=\sum{\sum}a_{ij}w_{i}d_{ij}$ is used. Distances are measured indirectly by map measure-meter with 1:25,000 Suwon map, and each potential sites, 10 administrative Dongs in Kwonson Gu, Suwon, are weighted by each number of households, total population, maternal age group, child age group, old age group, Relief for the livelihood, and population/primary health clinics. We find that Kuwoon-Dong, Seodun-Dong, Seryu3-Dong, according the descending orders, are best sites which can minimize the weighted distance, and conclude that it is reasonable to determine the location of urban health sub-center among those sites.

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일본의 지역친화형 노인복지시설 사례를 통해서 본 노인요양공동생활가정의 계획 방향 (Review of Planning on the Congregate Nursing Homes Based on the Case Study for the Local Friendly Elderly Welfare Facilities in Japan)

  • 박정아;김선태
    • 한국농촌건축학회논문집
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    • 제18권1호
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    • pp.1-9
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    • 2016
  • The purpose of this research is to explore the best examples from Japan to derive spatial and institutional characteristics. This study used the field survey method for 6 elderly welfare facilities in Japan. The characteristics of local friendly facility are as follows; First of all, since elderly care facilities in South Korea are separated from local community and facility plans are large-scaled and unified which are disconnected from local area, this research set aging in community, multi-function, diversity, and intergeneration into the concept that is necessary for local friendly facilities. Secondly, residential environment plan's basic directions are 1) plan that minimizes facilities-like atmosphere, 2) spatial plan that focuses on the elderly dignity and privacy, 3) comfortable and enjoyable communal living space plan, 4) local friendly and communicating plan, 5)plan that minimizes staff's care giving burden. Thirdly, the rooms necessary for local friendly facility model are composed of bedroom, dining room, kitchen, living room, garden, toilet, laundry room, bathroom, corridor, and office based on the legal installation standards.

Finger Vein Recognition Using Generalized Local Line Binary Pattern

  • Lu, Yu;Yoon, Sook;Xie, Shan Juan;Yang, Jucheng;Wang, Zhihui;Park, Dong Sun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권5호
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    • pp.1766-1784
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    • 2014
  • Finger vein images contain rich oriented features. Local line binary pattern (LLBP) is a good oriented feature representation method extended from local binary pattern (LBP), but it is limited in that it can only extract horizontal and vertical line patterns, so effective information in an image may not be exploited and fully utilized. In this paper, an orientation-selectable LLBP method, called generalized local line binary pattern (GLLBP), is proposed for finger vein recognition. GLLBP extends LLBP for line pattern extraction into any orientation. To effectually improve the matching accuracy, the soft power metric is employed to calculate the matching score. Furthermore, to fully utilize the oriented features in an image, the matching scores from the line patterns with the best discriminative ability are fused using the Hamacher rule to achieve the final matching score for the last recognition. Experimental results on our database, MMCBNU_6000, show that the proposed method performs much better than state-of-the-art algorithms that use the oriented features and local features, such as LBP, LLBP, Gabor filter, steerable filter and local direction code (LDC).

A Study on How to Operate or Upgrade a Mobile Community Currency System to Revitalize the Local Economy -Centering on Community Currencies in Seoul and Gyeong-gi Metropolitan Areas-

  • kim, Myung-hee;Ryu, Ki-hwan
    • International Journal of Advanced Culture Technology
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    • 제9권3호
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    • pp.152-159
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    • 2021
  • Small local businesses such as corner shops and street markets have been severely impacted by the COVID-19 pandemic and declining consumption. A community currency is a local currency that can be used to exchange for one of the local currencies within an online community. Community currencies can be effective not only in supporting small businesses, but also in helping the local economy more vibrant, benefiting consumers in the community. An important goal of Community Currency is to foster a vibrant local economy by building mutually beneficial relationships between local business owners and customers. The purpose of this study was to identify how the existing community currencies of participating SMEs and self-employed in Seoul and Gyeonggi-do metropolitan areas contributed to commercial revitalization by category and to suggest a new or better approach to community currency operation. It also focused on presenting the best solutions for the future direction of mobile community currencies, measures that are better than current currency operations, revitalize the community and develop the economy.

Microblog User Geolocation by Extracting Local Words Based on Word Clustering and Wrapper Feature Selection

  • Tian, Hechan;Liu, Fenlin;Luo, Xiangyang;Zhang, Fan;Qiao, Yaqiong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권10호
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    • pp.3972-3988
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    • 2020
  • Existing methods always rely on statistical features to extract local words for microblog user geolocation. There are many non-local words in extracted words, which makes geolocation accuracy lower. Considering the statistical and semantic features of local words, this paper proposes a microblog user geolocation method by extracting local words based on word clustering and wrapper feature selection. First, ordinary words without positional indications are initially filtered based on statistical features. Second, a word clustering algorithm based on word vectors is proposed. The remaining semantically similar words are clustered together based on the distance of word vectors with semantic meanings. Next, a wrapper feature selection algorithm based on sequential backward subset search is proposed. The cluster subset with the best geolocation effect is selected. Words in selected cluster subset are extracted as local words. Finally, the Naive Bayes classifier is trained based on local words to geolocate the microblog user. The proposed method is validated based on two different types of microblog data - Twitter and Weibo. The results show that the proposed method outperforms existing two typical methods based on statistical features in terms of accuracy, precision, recall, and F1-score.

The Impact of Underdog Positioning on Consumer Preference in Korea: Focusing on Local Service Providers

  • Bang-Wool Han
    • Journal of Korea Trade
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    • 제26권5호
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    • pp.76-87
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    • 2022
  • Purpose - Small independent brands from local companies often use underdog positioning to compete with established global brands. However, whether the effectiveness of underdog positioning of local businesses in the service sector remains insufficient. The purpose of this paper is to investigate the underdog effect on the preference of Korean consumers for individual service providers positioned as underdogs. Design/methodology - The author examines the research question of this study using a one-way ANOVA in three different positioning (underdog vs. top dog vs. control) between-subjects design, with a group of Korean participants. Findings - The experimental study shows that support for independent local (vs. global) service providers positioned as underdogs is straightforward. Using the lens of consumer identification with underdog biographies, this study found that consumers prefer small local service providers with passion and determination regardless of their disadvantages. Originality/value - To the best of the author's knowledge, this is the first study to examine the effectiveness of underdog positioning in the context of individual service providers. As it competes with global service companies for domestic consumer preference in Korea, the findings have great implications for ensuring the sustainability of small local service providers.

Local stereo matching using combined matching cost and adaptive cost aggregation

  • Zhu, Shiping;Li, Zheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권1호
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    • pp.224-241
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    • 2015
  • Multiview plus depth (MVD) videos are widely used in free-viewpoint TV systems. The best-known technique to determine depth information is based on stereo vision. In this paper, we propose a novel local stereo matching algorithm which is radiometric invariant. The key idea is to use a combined matching cost of intensity and gradient based similarity measure. In addition, we realize an adaptive cost aggregation scheme by constructing an adaptive support window for each pixel, which can solve the boundary and low texture problems. In the disparity refinement process, we propose a four-step post-processing technique to handle outliers and occlusions. Moreover, we conduct stereo reconstruction tests to verify the performance of the algorithm more intuitively. Experimental results show that the proposed method is effective and robust against local radiometric distortion. It has an average error of 5.93% on the Middlebury benchmark and is compatible to the state-of-art local methods.

Compar ison of Level Set-based Active Contour Models on Subcor tical Image Segmentation

  • Vongphachanh, Bouasone;Choi, Heung-Kook
    • 한국멀티미디어학회논문지
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    • 제18권7호
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    • pp.827-833
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    • 2015
  • In this paper, we have compared three level set-based active contour (LSAC) methods on inhomogeneous MR image segmentation which is known as an important role of brain diseases to diagnosis and treatment in early. MR image is often occurred a problem with similar intensities and weak boundaries which have been causing many segmentation methods. However, LSAC method could be able to segment the targets such as the level set based on the local image fitting energy, the local binary fitting energy, and local Gaussian distribution fitting energy. Our implemented and tested the subcortical image segmentations were the corpus callosum and hippocampus and finally demonstrated their effectiveness. Consequently, the level set based on local Gaussian distribution fitting energy has obtained the best model to accurate and robust for the subcortical image segmentation.