• 제목/요약/키워드: Adequate Information

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Information Retrieval Tools as Predictors for Information Resources Utilization in Academic Libraries in Nigeria

  • David-West, Boma Torukwein
    • International Journal of Knowledge Content Development & Technology
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    • 제10권3호
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    • pp.21-31
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    • 2020
  • The study examined information retrieval tools as predictors for information resources utilization, four research questions, and four hypotheses were made to guide the study. A descriptive survey was adopted for the study. Random sampling technique was used to select sample of 393 from a population of 557 academic staff registered in the University of Port Harcourt library. The questionnaire was adopted as a data collection instrument titled Information retrieval as predictors for information resources utilization (IRPIRUQ). Data were analyzed using both simple and multiple regression while analysis of variance (ANOVA) associate with regression was used for testing the hypotheses at 0.05 alpha level. The study revealed that information resources are under utilized as the OPAC and Online Databases are not easily accessed. Further findings showed that the academic staff made use of internet search engines more often than the OPAC and online databases. It was recommended among others that a new library software be installed in place of KOHA for wider connectivity and adequate distribution of software that will aid usage of the online databases and OPAC.

차연산과 분광미분을 이용한 항공 초분광영상의 식생지수 산출 적절밴드 선택 (An Adequate Band Selection for Vegetation Index of CASI-1500 Airborne Hyperspectral Imagery Using Image Differencing and Spectral Derivative)

  • 김태우;위광재;서용철
    • 한국지리정보학회지
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    • 제16권4호
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    • pp.16-28
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    • 2013
  • 최근 초분광영상의 활용 연구사례와 다양한 분광지수들의 개발과 평가가 지속적으로 증가하고 있다. 특히 식생원격탐사 분야에서는 식생의 스트레스와 활력에 대한 지표로 식생지수가 사용되며 일반적으로 NIR과 red 파장대의 두 개 혹은 이상의 분광밴드를 선택적으로 사용하고 있다. 항공 초분광영상은 좁고 연속적인 수많은 밴드를 가지기 때문에 식생지수를 위한 밴드선택에 혼돈을 야기할 수 있다. 만약 식생지수를 개발하는 과정에서 사용된 밴드와 항공기를 이용해 취득한 센서의 밴드정보와 동일하지 않다면, 탐지 대상의 광학특성에 대한 설명력이 높은 적절한 밴드를 선택하는 것이 필요하다. 따라서 본 연구에서는 NIR과 red 파장영역에 속하는 4개의 후보밴드를 선택하고 이들의 조합으로 계산된 NDVI(normalized difference vegetation index)와 MSRI(modified simple ratio index)를 산출하였다. 산출된 식생지수들에 대해서 각 지수들의 변이를 살펴보기 위해 변화탐지 기법의 차연산(image differencing)을 이용하였다. 또한 보다 직접적인 분석을 위해서 분광미분(spectral derivative)을 통하여 임상도로 구분되는 식생의 종류별 분광특성을 가장 잘 설명할 수 있는 밴드를 확인하였다. 연구 결과로 후보밴드들 중에서 red #3(680.2nm)와 NIR #2(801.7nm)가 수림에 영향을 적게 받고 밴드의 변동이 적은 적절한 밴드로 선택할 수 있었다.

볼륨데이터 압축을 위한 JPEG2000 비트제어 기법 (JPEG2000 Rate Control Technique for Volumetric Image Compression)

  • 안소연;;문주희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.373-374
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    • 2006
  • JPEG2000 achieves a target bit rate by selecting the bitstream for adequate coding passes after encoding full passes in Tier-1 coder. Tier-1 encoding is complicated and time-consuming process. In this paper, we propose a new rate control technique that chooses the necessary passes without the full passes coding of Tier-1 by using previous image information for volumetric image. The simulation result shows that the proposed technique reduces encoding time of coding passes up to 81.5%.

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GA-Based Construction of Fuzzy Classifiers Using Information Granules

  • Kim Do-Wan;Lee Ho-Jae;Park Jin-Bae;Joo Young-Hoon
    • International Journal of Control, Automation, and Systems
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    • 제4권2호
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    • pp.187-196
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    • 2006
  • A new GA-based methodology using information granules is suggested for the construction of fuzzy classifiers. The proposed scheme consists of three steps: selection of information granules, construction of the associated fuzzy sets, and tuning of the fuzzy rules. First, the genetic algorithm (GA) is applied to the development of the adequate information granules. The fuzzy sets are then constructed from the analysis of the developed information granules. An interpretable fuzzy classifier is designed by using the constructed fuzzy sets. Finally, the GA is utilized for tuning of the fuzzy rules, which can enhance the classification performance on the misclassified data (e.g., data with the strange pattern or on the boundaries of the classes). To show the effectiveness of the proposed method, an example, the classification of the Iris data, is provided.

Service Identification of Internet-Connected Devices Based on Common Platform Enumeration

  • Na, Sarang;Kim, Taeeun;Kim, Hwankuk
    • Journal of Information Processing Systems
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    • 제14권3호
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    • pp.740-750
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    • 2018
  • There are a great number of Internet-connected devices and their information can be acquired through an Internet-wide scanning tool. By associating device information with publicly known security vulnerabilities, security experts are able to determine whether a particular device is vulnerable. Currently, the identification of the device information and its related vulnerabilities is manually carried out. It is necessary to automate the process to identify a huge number of Internet-connected devices in order to analyze more than one hundred thousand security vulnerabilities. In this paper, we propose a method of automatically generating device information in the Common Platform Enumeration (CPE) format from banner text to discover potentially weak devices having the Common Vulnerabilities Exposures (CVE) vulnerability. We demonstrated that our proposed method can distinguish as much adequate CPE information as possible in the service banner.

A Construction of Fuzzy Model for Data Mining

  • Kim, Do-Wan;Joo, Young-Hoon;Park, Jin-Bae
    • 한국지능시스템학회논문지
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    • 제13권2호
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    • pp.209-215
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    • 2003
  • A new GA-based methodology using information granules is suggested for the construction of fuzzy classifiers. The proposed scheme consists of three steps: selection of information granules, construction of the associated fuzzy sets, and tuning of the fuzzy rules. First, the genetic algorithm (GA) is applied to the development of the adequate information granules. The fuzzy sets are then constructed from the analysis of the developed information granules. An interpretable fuzzy classifier is designed by using the constructed fuzzy sets. Finally, the GA are utilized for tuning of the fuzzy rules, which can enhance the classification performance on the misclassified data (e.g., data with the strange pattern or on the boundaries of the classes). To show the effectiveness of the proposed method, an example, the classification of the Iris data, is provided.

Design of Fuzzy Model for Data Mining

  • Kim, Do-Wan;Joo, Young-Hoon;Park, Jin-Bae
    • 한국지능시스템학회논문지
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    • 제13권1호
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    • pp.107-113
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    • 2003
  • A new GA-based methodology using information granules is suggested for the construction of fuzzy classifiers. The proposed scheme consists of three steps: selection of information granules, construction of the associated fuzzy sets, and tuning of the fuzzy rules. First, the genetic algorithm (GA) is applied to the development of the adequate information granules. The fuzzy sets are then constructed from the analysis of the developed information granules. An interpretable fuzzy classifier is designed by using the constructed fuzzy sets. Finally, the GA are utilized for tuning of the fuzzy rules, which can enhance the classification performance on the misclassified data (e.g., data with the strange pattern or on the boundaries of the classes). To show the effectiveness of the proposed method, an example, the classification of the Iris data, is provided.

Availability and Utilizations of Library Information Resources in Secondary Schools by Special Patrons

  • Asuata, Isibhakhome Eleaena;Emasealu, Helen Uzoezi
    • International Journal of Knowledge Content Development & Technology
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    • 제12권1호
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    • pp.35-47
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    • 2022
  • This study adopted the descriptive survey research method. The population of this study comprised of the hearing impaired students in selected government secondary schools in Rivers state. The population of hearing impaired students in Rivers State is 257. A simple random sampling technique was used to select a sample size of 159. A self-developed instrument titled "Availability and Utilization of Library Information Resources Questionnaire (AULIRQ)" was utilized for data collection. 153 responses were collated, indicating a 96.2% response rate. The data collected was arranged and analyzed using frequency count, percentages, and mean and standard deviation. Finding reveals that information resources in the libraries understudied were inadequate and under-utilized. Also, it was established that among other barriers, under-funding is a major barrier to making information resources available for the physically challenged. It was recommended that schools offering special education for the hearing impaired should pace up in their developmental gap by providing such resources and ensure adequate funding by all stakeholders.

SPOT 위성영상을 이용한 3차원 그래픽 화일 생성연구 (A Study on the Generation of 3 Dimensional Graphic Files Using SPOT Imagery)

  • 조봉환;이용웅;박완용
    • 대한공간정보학회지
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    • 제3권1호
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    • pp.79-89
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    • 1995
  • SPOT 위성영상은 궤도의 안정성, 높은 공간해상력 및 적절한 기선대 고도비등을 제공하며 사각 촬영으로 얻어진 위성영상으로부터 3차원 지형정보를 추출할 수 있는 계기를 가져다 주었다. 본 연구에서는 SPOT 입체 위성영상을 이용하여 3차원 지형지물의 특징자료를 추출하고, 이 자료를 이용하여 지형과 지물에 대한 3차원 그래픽 자료를 생성하는 기법과 지형정보의 3차원 그래픽 화일을 컴퓨터상에서 자동생성하고 도시하는 기법을 연구하였다.

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시소러스의 기본 용어관계에 관한 연구 (A Study on the Basic Term Relationship of Thesaurus)

  • 한상길
    • 한국도서관정보학회지
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    • 제30권4호
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    • pp.107-136
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    • 1999
  • With the development of indexing and retrieval techniques and the trends of information retrieval environment becoming more and more user-friendly, existing guideline for international thesaurus establishment standards and basic term relations currently used in thesaurus have become to longer adequate. The purpose of this study is to present solutions to expanding term relations which will fit new information retrieval environment. This report views standards for ISO 2788 and ANSI/NISO Z 39.19, and compares and analyzes 20 thesaurus basis term relations currently used both at home and abroad(14 overseas and 6 in Korea) to find out problems and limitations. Based on findings of the study, this report suggests how to expand thesaurus basic term relations to accomodate changes in information retrieval environment.

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