• Title/Summary/Keyword: Case Retrieval

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Developing a Design Support System for Database Distribution : Relational Schema as an Input (데이터베이스 분산 설계 지원 시스템 개발: 관계형 스키마를 입력으로)

  • Lee, Hui-Seok;Ji, Jeong-Kang;Kim, Tae-Hun;Yeo, Ji-Yeong
    • Asia pacific journal of information systems
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    • v.6 no.1
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    • pp.165-194
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    • 1996
  • Data distribution is one of the most important steps in distributed database design. This paper proposes a methodology for distributing database by using a relational schema as an input. A design support system called DBDD (Database Distribution Design) is implemented within the framework of this methodology. The methodology consists of three phases such as (i) schema analysis, (ii) fragmentation, and (iii) allocation. In the schema analysis phase, all the table names are acquired from a global relational schema. In the fragmentation phase, fragments are generated according to transaction retrieval patterns. Furthermore, DBDD enhances the design quality by allocating fragments in a progressive manner. A real-life case is illustrated to demonstrate the practical usefulness of the DBDD.

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A Study on Process Data Compression Method by Clustering Method (클러스터링 기법을 이용한 공정 데이터의 압축 저장 기법에 관한 연구)

  • Kim Yoonsik;Mo Kyung Joo;Yoon En Sup
    • Journal of the Korean Institute of Gas
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    • v.4 no.4 s.12
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    • pp.58-64
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    • 2000
  • Data compression and retrieval method are investigated for the effective utilization of measured process data. In this paper, a new data compression method, Clustering Compression(CC), which is based on the k-means clustering algorithm and piecewise linear approximation method is suggested. Case studies on industrial data set showed the superior performance of clustering based techniques compared to other conventional methods and showed that CC could handle the compression of multi-dimensional data.

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Text filtering by Boosting Linear Perceptrons

  • O, Jang-Min;Zhang, Byoung-Tak
    • Journal of the Korean Institute of Intelligent Systems
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    • v.10 no.4
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    • pp.374-378
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    • 2000
  • in information retrieval, lack of positive examples is a main cause of poor performance. In this case most learning algorithms may not characteristics in the data to low recall. To solve the problem of unbalanced data, we propose a boosting method that uses linear perceptrons as weak learnrs. The perceptrons are trained on local data sets. The proposed algorithm is applied to text filtering problem for which only a small portion of positive examples is available. In the experiment on category crude of the Reuters-21578 document set, the boosting method achieved the recall of 80.8%, which is 37.2% improvement over multilayer with comparable precision.

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The Human Brain and Information Science: Lessons from Popular Neuroscience

  • Sturges, Paul
    • International Journal of Knowledge Content Development & Technology
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    • v.3 no.1
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    • pp.19-29
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    • 2013
  • Insights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of 'scientific' theory often derived from the Shannon-Weaver model. Neuroscientists argue in excitingly fresh ways from the evidence of case studies, non-intrusive experimentation and the measurements that can be obtained from technologies that include electroencephalography, positron emission tomography (PET), functional magnetic resonance imaging (fMRI), and magnetoencephalography (MEG). The way in which the findings of neuroscience intersect with ideas such as those of Kahneman on fast and slow thinking and Csikszentmihalyi on flow, is tentatively explored as lines of connection with information science. It is argued that the beginnings of a theoretical underpinning for current web-based information searching in relation to established information retrieval methods can be drawn from this.

A Development of Support System for Optimal Operation of Distribution Systems (배전계통 최적운용을 위한 지원 시스템 개발)

  • Moon, Y.H.;Kim, S.S.;Jang, J.T.;Hwang, S.Ch.
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.195-197
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    • 1993
  • This raper describes a nev program designed as a part of the integrated software package for distribution system planning and operation. The program accesses electrical map databases which include both electrical and geographical information. Data retrieval, load flow analyses, and reconfiguration studies can be easily performed in highly interactive environment on graphics and pull down menus, case study results demonstrate the practical usefulness of the program at the real systems.

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Emergent Surgical Intervention for Embolization of Atrial Septal Defect Closure Device

  • Kim, Young Hak;Kim, Hyuck;Kim, Sung Jin;Kang, Jeong Ho;Chung, Won-Sang;Shin, Jin-Ho;Lim, Young-Hyo
    • Journal of Chest Surgery
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    • v.45 no.5
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    • pp.320-322
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    • 2012
  • The percutaneous transcatheter closure of secundum atrial septal defect has recently become an increasingly widespread alternative to surgical closure in many centers. Although immediate, short, and intermediate term results of percutaneous transcatheter septal closure are promising, the procedure is not free from inherent complications that could be lethal. We report a case of device embolization necessitating emergent surgical retrieval.

Memory-based Pattern Completion in Database Semantics

  • Hausser Roland
    • Language and Information
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    • v.9 no.1
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    • pp.69-92
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    • 2005
  • Pattern recognition in cognitive agents is based on (i) the uninterpreted input data (e.g. parameter values) provided by the agent's hardware devices and (ii) and interpreted patterns (e.g. templates) provided by the agent's memory. Computationally, the task consists in finding the memory data corresponding best to the input data, for any given input. Once the best fitting memory data have been found, the input is recognized by applying to it the interpretation which happens to be stored with the memorized pattern. This paper presents a fast converging procedure which starts from a few initially recognized items and then analyzes the remainder of the input by systematically checking for items shown by memory to have been related to the initial items in previous encounters. In this way, known patterns are tried first, and only when they have been exhausted, an elementary exploration of the input is commenced. Efficiency is improved further by choosing the candidate to be tested next according to frequency.

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Case Study: Record Management & Maintenance System Implementation with Architectural Drawings on GIS Platform (GIS 플렛폼을 활용한 건축도면 및 자료 유지관리시스템 적용 사례연구 - 미국 버지니아주 리치몬드시청 건축도면 및 자료 유지관리시스템 사례연구 -)

  • Chong, K. Chul;Sho, Kwang-Ho
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.36 no.1
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    • pp.163-172
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    • 2020
  • This study is a case study for in-house developed Record Maintenance and Management (RMMS) which is a digital data storage/retrieval system in a GIS-enabled solution. RMMS is designed for reorganizing submitted architectural drawings associated with scanned drawings files & geodatabase, managing metadata/table and geometric features in ArcSDE/Enterprise geodatabase format. The birth of the RMMS was borne out of a necessity for a modernized approach in digital file basis to provide improved customer services for various architectural drawings and associated with geo-spatial and its attribute information. Through a case study for building permit & review practice implemented on an internet-based Electronic Architectural administration Information System (EAIS) at the local governments in Korea, this study is able to derive differences between GIS-enabled RMMS system implemented in the Richmond City and internet-based EAIS system implemented in the local government in Korea. In an effort to be the most effective, it presents meaningful ways of maximizing efficiency in record maintenance & management system derived from the case studies that looked into in ways of a method in RMMS' operation, implementation on GIS platform, mutual interface among various programs with various digital files and finally technical supports and system development /upgrade.

Cryopreservation of in vitro matured oocytes after ex vivo oocyte retrieval from gynecologic cancer patients undergoing radical surgery

  • Park, Chan Woo;Lee, Sun Hee;Yang, Kwang Moon;Lee, In Ho;Lim, Kyung Teak;Lee, Ki Heon;Kim, Tae Jin
    • Clinical and Experimental Reproductive Medicine
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    • v.43 no.2
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    • pp.119-125
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    • 2016
  • Objective: The aim of this study was to report a case series of in vitro matured (IVM) oocyte freezing in gynecologic cancer patients undergoing radical surgery under time constraints as an option for fertility preservation (FP). Methods: Case series report. University-based in vitro fertilization center. Six gynecologic cancer patients who were scheduled to undergo radical surgery the next day were referred for FP. The patients had endometrial (n=2), ovarian (n=3), and double primary endometrial and ovarian (n=1) cancer. Ex vivo retrieval of immature oocytes from macroscopically normal ovarian tissue was followed by mature oocyte freezing after IVM or embryo freezing with intracytoplasmic sperm injection. Results: A total of 53 oocytes were retrieved from five patients, with a mean of 10.6 oocytes per patient. After IVM, a total of 36 mature oocytes were obtained, demonstrating a 67.9% maturation rate. With regard to the ovarian cancer patients, seven IVM oocytes were frozen from patient 3, who had stage IC cancer, whereas one IVM oocyte was frozen from patient 4, who had stage IV cancer despite being of a similar age. With regard to the endometrial cancer patients, 15 IVM oocytes from patient 1 were frozen. Five embryos were frozen after the fertilization of IVM oocytes from patient 6. Conclusion: Immature oocytes can be successfully retrieved ex vivo from macroscopically normal ovarian tissue before radical surgery. IVM oocyte freezing provides a possible FP option in patients with advanced-stage endometrial or ovarian cancer without the risk of cancer cell spillage or time delays.

Image Retrieval: Access and Use in Information Overload (이미지 검색: 정보과다 환경에서의 접근과 이용)

  • Park, Minsoo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.703-708
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    • 2022
  • Tables and figures in academic literature contain important and valuable information. Tables and figures represent the essence of the refined study, which is the closest to the raw dataset. If so, can researchers easily access and utilize these image data through the search system? In this study, we try to identify user perceptions and needs for image data through user and case studies. Through this study we also explore expected effects and utilizations of image search systems. It was found that the majority of researchers prefer a system that combines table and figure indexing functions with traditional search functions. They valued the provision of an advanced search function that would allow them to limit their searches to specific object types (pictures and tables). Overall, researchers discovered many potential uses of the system for indexing tables and figures. It has been shown to be helpful in finding special types of information for teaching, presentation, research and learning. It should be also noticed that the usefulness of these systems is highest when features are integrated into existing systems, seamlessly link to fulltexts, and include high-quality images with full captions. Expected effects and utilizations for user-centered image search systems are also discussed.