• Title/Summary/Keyword: focus measure

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A Study on New Genre of Public Art in Mullae Art Village: Focus on Adorno's Mimesis and Benjamin's Active Companion (문래동 예술촌의 공공예술 실천에 대한 연구: 아도르노의 미메시스(Mimesis)와 벤야민의 '적극적 동반자' 개념을 중심으로)

  • Jung, Na-Ri;Kang, Jin-Suk
    • Korean journal of communication and information
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    • v.66
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    • pp.87-109
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    • 2014
  • The purpose of this study is to investigate public art in Mullae art Village based on Adorno's Mimesis and explore a wide range of possibilities of new genre of public art. This study found out the new possibility of not only artist network, but also networks of local villagers and iron factory workers, and considered in-depth analysis of new genre public art in Mullae art village focusing on their active participations in art programs. By analyzing the artists' stories through interviews, low-cost rental accommodation brought a influx of artists into the village, and they formed their artist networks working by themselves. At this point, this could be judged a critical phenomenon in accordance with Adorno's mimesis. However, by external pressures such as government policies for setting up Mullae Art factory or downtown redevelopment, artists sought independent role in Mullae-dong and doing active public art programs grounded on mimesis. Artists were seeking a way to cope with the economy mechanism doing new genre of public art based on mimesis, and found out the possibility of formation of relationships with local residents and iron factory workers. This study was seemed to suggest the direction of new genre of public art through Mullae art village case, and considers new political measure plans for culture and art policy.

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How to Measure the Agglomeration Effects of Industrial Cluster : A Case Study of the FOODPOLIS ( KOREA NATIONAL FOOD CLUSTER ) (산업클러스터 효과 추정 방법에 관한 연구 : 국가식품클러스터조성사업 사례를 중심으로)

  • Kim, Jung-Wook;Kim, Suk-Young;Yang, Seung-Min
    • Journal of the Economic Geographical Society of Korea
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    • v.15 no.1
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    • pp.42-62
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    • 2012
  • This paper suggests a genuine method to estimate the agglomeration effects of Industrial Cluster focusing on the FOODPOLIS (KOREA NATIONAL FOOD CLUSTER). In this study, we will focus on two issues related to the clustering effect. First, Clusters affect productivity, and a cluster allows companies to operate more productively in inputs; accessing technology, human resource, information, services, and needed institutions. Second, we assume that the effects of Industrial Cluster can be estimated from measurement on differency of an added value between large-scale enterprises and smaller ones. To demonstrate effectiveness of this approach, the estimated effect was compared with that from the related study (A Mini-Cluster). Industry Clusters have been considered as critical factors for regional competitiveness and economic revitalization. For this, the government and local government should find a way and strategy to provide useful contents that can attract the participation of firms and to secure strategic positioning and competition strategies.

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The Quantitative Effects of ERP Systems in Korean Manufacturing Industry (국내 제조기업의 ERP 시스템 도입의 정량적 성과에 관한 연구)

  • Chang, Hwal-Sik;Park, Kwang-Oh;Choi, Woo-Hyeok;Han, Jung-Hee
    • Management & Information Systems Review
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    • v.26
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    • pp.27-60
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    • 2008
  • Researches on the introduction of ERP system kept on examining the critical successful factors (CSFs) that focus on factors to achieve effectively successful projects, and trying to measuring the actual effectiveness of the introduction of ERP system. However, most of the preceding researches on the effectiveness of the introduction of ERP system that was searching devoted effects has been ceased, and actually even researches on the economical results have just done the basic cognitive evaluation of result indicators by many questionnaires instead of objective measuring values, because of the difficulty of measuring the evaluation of the result. Moreover, researches on positive effects of the introduction of ERP on enterprise results and researches that failed to give advantageous effects showed different results each other. And a part of researches reported that only a part of result indicators were partially affected. In this research, we investigated Korean large enterprises or middle-sized enterprises in manufacture industry that introduces SAP R/3 and Oracle package to compare their quantitative financial results after the introduction of ERP system, in order to measure the effects of the ERP system. First, we evaluated the difference of the quantitative financial results before and after the introduction of the ERP system. Second, we evaluated the opportunities shown by the effects after the introduction of the ERP system. Third, we removed the sample of the exchange crisis (IMF) and executed the additional analysis to reflect the average increasing and decreasing rate in the industry, so that pure evaluation can be achieved. Inherent limits of precedent researches are removed and practical effects of the pure introduction of the ERP system are evaluated, so the research of this research is significant. The result of this research is as follows. Because of the introduction of ERP, the rate of turnover of inventory property has increased and sales of preparation inventory property have decreased so that more effective inventory property management has been achieved. Moreover, preparation sales of labor costs and preparation sales of the number of employees have decreased to show the effect of the reduction of labor costs. However, it could no be concluded that we could increase the profit due to the introduction of ERP system. Due to the introduction of ERP, although we concluded that the return on assets (ROA) and the additional value of one-person employee statistically showed obvious differences and increased, the return on equity failed to show obvious differences after the process of introduction of ERP.

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Who Gets Government SME R&D Subsidy? Application of Gradient Boosting Model (Gradient Boosting 모형을 이용한 중소기업 R&D 지원금 결정요인 분석)

  • Kang, Sung Won;Kang, HeeChan
    • The Journal of Society for e-Business Studies
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    • v.25 no.4
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    • pp.77-109
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    • 2020
  • In this paper, we build a gradient Boosting model to predict government SME R&D subsidy, select features of high importance, and measure the impact of each features to the predicted subsidy using PDP and SHAP value. Unlike previous empirical researches, we focus on the effect of the R&D subsidy distribution pattern to the incentive of the firms participating subsidy competition. We used the firm data constructed by KISTEP linking government R&D subsidy record with financial statements provided by NICE, and applied a Gradient Boosting model to predict R&D subsidy. We found that firms with higher R&D performance and larger R&D investment tend to have higher R&D subsidies, but firms with higher operation profit or total asset turnover rate tend to have lower R&D subsidies. Our results suggest that current government R&D subsidy distribution pattern provides incentive to improve R&D project performance, but not business performance.

Topic Sensitive_Social Relation Rank Algorithm for Efficient Social Search (효율적인 소셜 검색을 위한 토픽기반 소셜 관계 랭크 알고리즘)

  • Kim, Young-An;Park, Gun-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.5
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    • pp.385-393
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    • 2013
  • In the past decade, a paradigm shift from machine-centered to human-centered and from technology-driven to user-driven has been witnessed. Consequently, Social search is getting more social and Social Network Service (SNS) is a popular Web service to connect and/or find friends, and the tendency of users interests often affects his/her who have similar interests. If we can track users' preferences in certain boundaries in terms of Web search and/or knowledge sharing, we can find more relevant information for users. In this paper, we propose a novel Topic Sensitive_Social Relationship Rank (TS_SRR) algorithm. We propose enhanced Web searching idea by finding similar and credible users in a Social Network incorporating social information in Web search. The Social Relation Rank between users are Social Relation Value, that is, for a different topics, a different subset of the above attributes is used to measure the Social Relation Rank. We observe that a user has a certain common interest with his/her credible friends in a Social Network, then focus on the problem of identifying users who have similar interests and high credibility, and sharing their search experiences. Thus, the proposed algorithm can make social search improve one step forward.

A Comparative Study of Landscape Design Competitions' Guidelines and Entry Plans -The Case of Winning Design Proposals for Urban Infrastructure of the Hangdong Bogeumjari Housing District- (조경현상설계지침과 출품작의 내용관계 비교 -항동 보금자리주택지구 도시기반시설공모 입상작을 중심으로-)

  • Hong, Youn-Soon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.39 no.2
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    • pp.18-28
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    • 2011
  • This study is aimed at the improvement of administrative operations of landscape design competitions and qualitative enhancement of design quality by mutually comparing the guidelines and entry plans. The case targeted for the current study is landscape design proposals for the Seoul Hangdong Bogeumjari Housing District recently launched within a greenbelt zone in the outskirts of Seoul. The study examines from a critical perspective the design guidelines and the contents of the three winning design proposals with a focus on whether or not they have reflected the guidelines. It was observed that many provisions of the principles and conceptual guidelines which serve as clues to the designs for winning designs proposals show the direction in which the project is to be headed It was also observed that the provisions and the way they are expressed are intertwined, while, at the same time, the guidelines were not organized or developed in an orderly manner. Such a structural pattern of the guidelines is linked to the aspects of the contents of the winning design proposals as described in the following. It is observed that guidelines related to the direction in which the design to be headed are so regulatory and lengthy that they are overly standardized. This could make it difficult to read the possibility of the alternative shifts in the winning design proposals. At the same time, the attributes of winning design proposals themselves, which require observable discriminatory superiority, could serve as a factor causing excess of meanings by jumping on the bandwagon of naming. On the contrary, where autonomy of design is guaranteed or no guidelines are provided for the winning design proposals, discriminatory differences were observed, thereby making it easy to measure them This illustrates well that guidelines and structural format should be provided through a separate undertaking that has taken into careful consideration environmental traits of the site in question, objectives required and so forth.

A Study on the Activation of Convention Hotel : The Case of KangwonLand Convention Hotel (컨벤션호텔의 활성화 방안에 대한 연구 -강원랜드 컨벤션호텔을 사례로-)

  • Han, Jin-Young;Ji, Ke-Yung;In, Sung-Ho
    • Journal of Digital Convergence
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    • v.12 no.10
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    • pp.97-108
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    • 2014
  • The purpose of this study was to seek for solutions of activating convention hotels entering to the newly created market, focused on the case study of the convention hotel in KangwonLand in the competitive MICE environment. According to the analysis for reception setup for MICE, it is urgently required to improve shopping facilities, securing manpower, the accessibilities in KangwonLand convention hotel. This study suggests several ways to identify differentiation such as facilities discriminations, reasonable prices when holding conventions/events. It is also proposed that there is a need to focus incentive tour when marketing. To succeed in hosting events of MICE at the convention hotel, it appears to be considered to host large scale of domestic or overseas events, to measure reasonable room rates, promote niche market through middle or small scale events, attract customers to revisit and save transportation costs for participants. From the study, it is expected to find efficient ways to activate convention hotels through MICE market entry.

Model for Predicting Accidents at a Unsignailzed Intersections in a Community Road (생활도로내 비신호교차로 사고예측 모형 개발)

  • Chang, Iljoon;Kim, Jang Wook;Lee, Hyeong Rok;Lee, Soo Beom
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.3D
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    • pp.343-353
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    • 2011
  • The unsignalized intersections in a community road in the city of Seoul have 3,753 traffic accidents(9%) of total 41,702 cases in 2008, not high in the occurrence rate of traffic accidents, but seem to have a quite high potential of accidents due to the unreasonable and insufficient operation of systems and facilities in the part of traffic foundations. In particular, the un-signalized intersections in a community road have an insufficient measure for safety as compared to the crossroads with signals, and there are few analysis of traffic accidents and domestic researches on the model of affecting factors. Our country also has no concept of passing priority in operating a crossroad without signals, differently from foreign countries, so the researches and safety measures for improving the safety of a crossroad without signals in a community road are urgent. Therefore, This study set out to analyze the road conditions, traffic conditions, and traffic environment conditions on unsignalized intersection, to identify the elements that would impose obstructions in safety, and develop a traffic accident prediction model to evaluate the safety of an unsignalized intersection using the correlation between the elements and an accident. In addition, the focus was made on suggesting appropriate traffic safety policies by dealing with the danger elements in advance and on enhancing the safety on intersection in developing a traffic accident prediction model for an unsignalized intersection.

Local Fault Detection Technique for Steel Cable using Multi-Channel Magnetic Flux Leakage Sensor (다채널 자속누설 센서를 이용한 강케이블의 국부 단면손상 검색)

  • Park, Seunghee;Kim, Ju-Won;Lee, Changgil;Lee, Jongjae;Gil, Heung-Bae
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.4
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    • pp.287-292
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    • 2012
  • In this study, Multi-Channel Magnetic Flux Leakage(MFL) sensor - based inspection system was applied to monitor the condition of cables. This inspection system measures magnetic flux to detect the local faults(LF) of steel cable. To verify the feasibility of the proposed damage detection technique, an 8-channel MFL sensor head prototype was designed and fabricated. A steel cable bunch specimen with several types of damage was fabricated and scanned by the MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, magnetic flux signals were used to determine the locations of the flaws and the level of damage. Measured signals from the damaged specimen were compared with thresholds set for objective decision making. In addition, the magnetic flux density values measured from every channel were summed to focus on the detection of axial location. And, sum of flux density were displayed with threshold. Finally, the results were compared with information on actual inflicted damages to confirm the accuracy and effectiveness of the proposed cable monitoring method.

Estimate Saliency map based on Multi Feature Assistance of Learning Algorithm (다중 특징을 지원하는 학습 기반의 saliency map에 관한 연구)

  • Han, Hyun-Ho;Lee, Gang-Seong;Park, Young-Soo;Lee, Sang-Hun
    • Journal of the Korea Convergence Society
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    • v.8 no.6
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    • pp.29-36
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    • 2017
  • In this paper, we propose a method for generating improved saliency map by learning multiple features to improve the accuracy and reliability of saliency map which has similar result to human visual perception type. In order to overcome the inaccurate result of reverse selection or partial loss in color based salient area estimation in existing salience map generation, the proposed method generates multi feature data based on learning. The features to be considered in the image are analyzed through the process of distinguishing the color pattern and the region having the specificity in the original image, and the learning data is composed by the combination of the similar protrusion area definition and the specificity area using the LAB color space based color analysis. After combining the training data with the extrinsic information obtained from low level features such as frequency, color, and focus information, we reconstructed the final saliency map to minimize the inaccurate saliency area. For the experiment, we compared the ground truth image with the experimental results and obtained the precision-recall value.