• Title/Summary/Keyword: Component-based System

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A Case Study of Risk Assessment of Ozone Impact on Forest Tree Species in Japan

  • Watanabe, Makoto;Yamaguchi, Masahiro;Matsumura, Hideyuki;Kohno, Yoshihisa;Koike, Takayoshi;Izuta, Takeshi
    • Asian Journal of Atmospheric Environment
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    • v.5 no.4
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    • pp.205-215
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    • 2011
  • Ozone ($O_3$) is a main component of photochemical oxidants and a phytotoxic air pollutant. Although the current levels of tropospheric $O_3$ in East Asia could adversely affect productivity of forest tree species, risk assessments of $O_3$ impact were limited. In this paper, we summarize the methodology of risk assessment of $O_3$ on forest tree species based on our two previous studies, risk assessments of $O_3$ impact on the growth of Fagus crenata by Watanabe et al. (2012) and on the annual carbon absorption of three representative conifers, Cryptomeria japonica, Pinus densiflora and Larix kaempferi by Watanabe et al. (2010). $O_3$ sensitivity of each tree species obtained from an experimental study, $O_3$ exposure and atmospheric N deposition based on field monitoring and vegetation survey were integrated by geographic information system method. Based on the results, we conclude that the area with high risk of $O_3$ impact does not necessarily correspond to the area with high $O_3$ exposure. The varieties of tree habitat, tree sensitivity to $O_3$ and annual carbon absorption among the tree species, and N deposition-induced change in the $O_3$ sensitivity of F. crenata are raised as the factors of discordance between areas with high risk and those with high $O_3$ exposure. In the last part of this paper, we discuss the present uncertainty and perspectives of risk assessment for the future studies on the impact of $O_3$ on forest tree species in East Asia.

Comparison of Systemic Accident Investigation Techniques Based on the Sewol Ferry Capsizing

  • Kee, Dohyung
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.5
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    • pp.485-498
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    • 2017
  • Objective: This study aims to survey and compare three systemic accident investigation techniques of Accimap, STAMP and FRAM, based on the application studies of the Sewol ferry accident. Background: Traditional accident investigation methods such as domino models, FTA, etc. work well for losses caused by physical component failures or actions of human in relatively simple systems, but are unable to depict mechanisms generating errors and violations in the current complex socio-technical systems. For better understanding the structure and behavior of the socio-technical systems, systemic techniques have been developed and used. Method: This study was mainly based on survey of literatures through surfing webpages of ScienceDirect and Google, and ergonomics relevant journals. The key words of Sewol, Sewol ferry, Sewol ferry accident, etc. were used in the survey. Results: Three systemic accident investigation methods included similar actors in the Sewol ferry accident including government, Ministry of Ocean and Fisheries, Korean Coast Guard, Korean Register of Shipping, Korea Shipping Association, Chonghaejin Marine Company, crew members. The methods graphically represented each level's failures or performance variabilities of relevant functions and relationships between them. It was shown that the systemic methods consider the entire system, ranging from the environment in which the accident occurred, to the role of government in shaping the system of work. Each method has its own comparative pros and cons, but the Accimap has advantages in terms of time of analysis, data required, model complexity and degree of comprehensiveness. Conclusion: This study reviewed and compared three systemic accident investigation methods, which showed that there are systemic characteristics and pros and cons in the methods. Application: The results would be used as a guideline when selecting accident investigation methods.

Region-based Image Retrieval Algorithm Using Image Segmentation and Multi-Feature (영상분할과 다중 특징을 이용한 영역기반 영상검색 알고리즘)

  • Noh, Jin-Soo;Rhee, Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.3
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    • pp.57-63
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    • 2009
  • The rapid growth of computer-based image database, necessity of a system that can manage an image information is increasing. This paper presents a region-based image retrieval method using the combination of color(autocorrelogram), texture(CWT moments) and shape(Hu invariant moments) features. As a color feature, a color autocorrelogram is chosen by extracting from the hue and saturation components of a color image(HSV). As a texture, shape and position feature are extracted from the value component. For efficient similarity confutation, the extracted features(color autocorrelogram, Hu invariant moments, and CWT moments) are combined and then precision and recall are measured. Experiment results for Corel and VisTex DBs show that the proposed image retrieval algorithm has 94.8% Precision, 90.7% recall and can successfully apply to image retrieval system.

Fish Injured Rate Measurement Using Color Image Segmentation Method Based on K-Means Clustering Algorithm and Otsu's Threshold Algorithm

  • Sheng, Dong-Bo;Kim, Sang-Bong;Nguyen, Trong-Hai;Kim, Dae-Hwan;Gao, Tian-Shui;Kim, Hak-Kyeong
    • Journal of Power System Engineering
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    • v.20 no.4
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    • pp.32-37
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    • 2016
  • This paper proposes two measurement methods for injured rate of fish surface using color image segmentation method based on K-means clustering algorithm and Otsu's threshold algorithm. To do this task, the following steps are done. Firstly, an RGB color image of the fish is obtained by the CCD color camera and then converted from RGB to HSI. Secondly, the S channel is extracted from HSI color space. Thirdly, by applying the K-means clustering algorithm to the HSI color space and applying the Otsu's threshold algorithm to the S channel of HSI color space, the binary images are obtained. Fourthly, morphological processes such as dilation and erosion, etc. are applied to the binary image. Fifthly, to count the number of pixels, the connected-component labeling is adopted and the defined injured rate is gotten by calculating the pixels on the labeled images. Finally, to compare the performances of the proposed two measurement methods based on the K-means clustering algorithm and the Otsu's threshold algorithm, the edge detection of the final binary image after morphological processing is done and matched with the gray image of the original RGB image obtained by CCD camera. The results show that the detected edge of injured part by the K-means clustering algorithm is more close to real injured edge than that by the Otsu' threshold algorithm.

A Clutter Estimation Algorithm Applicable to GSC Based Monopulse Radar (GSC 기반 모노펄스 레이다용 클러터 추정 알고리즘)

  • Kim, Na-Yong;Jeon, Hyeon-Mu;Bae, Chang-Sik;Park, Gyu-Churl;Chung, Young-Seek;Yang, Hoon-Gee
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.7
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    • pp.576-579
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    • 2017
  • Due to the existence of flash lobe caused by the radome structure, a radar return in general contains clutter component added to target echo. Unlike jammer, clutter is apt to simultaneously coexist with target echo, which hinders a monopulse radar from estimating the angle difference between target echo direction and radar steering direction. In this paper, we propose a clutter estimation algorithm applicable to generalized sidelobe canceller(GSC) based monopulse radar. We show that clutter estimation can be achieved via iterative process of the orthogonal projections. Through simulations, the proposed GSC-based system combined with the clutter estimation can outperform the conventional monopulse system in terms of target angle estimation.

A Study on information resource management based ITA in a organization (ITA 기반에서의 조직 정보화 자원관리 방안 연구)

  • Cho, sung-nam;Kim, ji-young;Chung, taik-yeong;Park, chan-jin
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.410-413
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    • 2007
  • Information Technology(IT) was introduced to the business as a means of improving operational efficiency. Nowadays, IT has become an essential component of an organization's survival. Almost no operations of an organization can be performed without IT. The benefits of using IT in organizations can not be underestimated. Some organizations have flourished because of the competitive advantages derived from the IT systems they have developed. Most IT systems, however, have been extended, changed and integrated with ad-hoc and makeshift solutions without thinking long-range view. It results in high maintenance cost and uncontrolled system for managing information resources. Especially, public institutions under the Project-Based System (PBS) have some problems in keeping a good management systems for information resource, because they are usually operated for a set period. Therefore, we propose the framework how to efficiently manage the IT assets and resources based on the Information Technology Architecture (ITA) that is introduced for the overall optimization of IT investment, change management and inter-operability.

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Development of Traffic Light Automatic Discrimination System Using Digital Image Processing Technology (디지털영상처리 기술을 이용한 교통신호등 자동 판별 시스템 개발)

  • Kim, Sun-Dong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.2
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    • pp.92-99
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    • 2009
  • This paper established the range of the wavelength of traffic lights to detection the color of traffic lights and the color component segmentation with the range of the wavelength. Development of traffic light automatic discrimination system is consists of the color detection and the traffic lights recognition. In this thesis, it established the range of the wavelength of traffic lights to detection the color of traffic lights and the color segmentation with the range of the wavelength. By the segmentation, the traffic light colors(red, orange and green) can be detected and the background is changed into gray image. Next, we proposed the algorithm which can detect the area of traffic lights in the various surroundings with the wavelet transformation algorithm. Also, we proposed traffic lights recognition algorithm using between the edge operator and the Hausdorff distance algorithm based on CBIR(Content-based Image retrieval). Therefore, the proposed algorithm is more superior to the conventional algorithm by experimenting with the illumination including the traffic lights and the backgrounds with various images.

A Study on the Comparative Analysis of Business Performance of Abalone Seed, Haliotis discus hannai by Region and Farming Size in the Land-based System (전복 치패 산업의 지역별·규모별 경영성과 비교분석)

  • Son, Maeng-Hyun;Park, Min-Woo;Kim, Byeong-Hak;Lee, Si-Woo
    • The Journal of Fisheries Business Administration
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    • v.46 no.1
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    • pp.1-13
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    • 2015
  • This study is aimed comparative analysis for business performance of land-based ezo abalone (Haliotis discus hannai) seed farms by standardizing cost structures by region and farming size. The result of survey on average farming incomes by region showed that farming incomes in Haenam and Jindo regions were much higher than those in other regions. Followed by Wando region, incomes in other regions were analyzed to be relatively lower. It is shown that farming incomes became higher as farm size increased. Farming incomes per unit size which were modified from farming incomes by region were highest in Jindo region, followed by East sea region, Wando and Haenam regions. Incomes in Jeju and Yeosu regions were analyzed to be relatively lower. Results on farming incomes per unit size ($m^2$) showed that both farming incomes and profits became higher as size increased. It implies that a scale effectiveness might exist in case of land-based abalone culture system. Impacts of major factors on farming profits and returns on investment in abalone seed aquaculture are summarized as follow. First, only if the survival rate increased by 10% with improvement of component ratio, variable effects became largest. In variable effects of other factors, a variation in Jindo region was largest and on the other hand, a variation in Yeosu region was shown to be smallest.

A Method for Recommending Learning Contents Using Similarity and Difficulty (유사도와 난이도를 이용한 학습 콘텐츠 추천 방법)

  • Park, Jae -Wook;Lee, Yong-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.127-135
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    • 2011
  • It is required that an e-learning system has a content recommendation component which helps a learner choose an item. In order to predict items concerning learner's interest, collaborative filtering and content-based filtering methods have been most widely used. The methods recommend items for a learner based on other learner's interests without considering the knowledge level of the learner. So, the effectiveness of the recommendation can be reduced when the number of overall users are relatively small. Also, it is not easy to recommend a newly added item. In order to address the problem, we propose a content recommendation method based on the similarity and the difficulty of an item. By using a recommendation function that reflects both characteristics of items, a higher-level leaner can choose more difficult but less similar items, while a lower-level learner can select less difficult but more similar items, Thus, a learner can be presented items according to his or her level of achievement, which is irrelevant to other learner's interest.

Web-based Medical Information System supporting DICOM Specification (DICOM 표준을 지원하는 웹 기반 의료 정보 시스템)

  • Kwon, Gi-Beom;Kim, Il-Kon
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.4
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    • pp.317-323
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    • 2001
  • DICOM(Digital Imaging and Communications in MediCine), standard of medical image operation, present the methods for communications and Storage of Medical Image. medical image acquired from patient in hospital made DICOM files. this paper purposes design and implementation methodologies of a web-based medical information system that consists of DICOM (Digital Imaging and Communications in Medicine) databases and functional components of a web server in order to support the access of medical information with Intemet web browser. we store the patient and image information to database using reading the group and element oJ DICOM file. we made file transfer module by implementing DICOM Store service, in result, we can transfer DICOM file to IF based host or computer. We compose web component of communications and Storage service, user be used DICOM Service by web Browser.

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