• Title/Summary/Keyword: Meta-data

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Data Dictionary of Automotive Parts based on PLIB Part 42 (PLIB 파트42를 이용한 자동차부품의 데이터사전)

  • 김영범;조준면;한순흥
    • The Journal of Society for e-Business Studies
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    • v.6 no.2
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    • pp.127-142
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    • 2001
  • For the B2B e-commerce and SCM (Supply Chain Management), standardization of electronic catalogue that contains product and business data is important. Especially, standardization of hierarchies that is required for categorization, and standardization of product properties are difficult and costly to maintain. The ability of searching for items and data in databases is critical for successful e-commerce system. This paper introduces the data dictionary of PUB (ISO 13584) part 42 which can establish the standard of product data. The method is applied to develop the data dictionary of automotive parts.

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A Study on the Rural Development Information System using ISP Methodology (정보 전략 계획(ISP)을 통한 농촌지역개발사업 정보시스템 구축방안)

  • Kim, Mi-Young;Lim, Sang-Bong;Jang, Bo-Ram;Kang, Seong-Kil;Kim, Do-Hoon;Hong, Jae-Joo
    • Journal of Korean Society of Rural Planning
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    • v.19 no.2
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    • pp.193-202
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    • 2013
  • This study aims at suggesting some measures to establish rural community development information system through ISP. A future model for rural community development information system was established by applying such 3-step ISP methodology as environment analysis, current status(AS-IS) analysis, future(To-Be) directions. As a result, with the vision of realizing comprehensive information service for rural development projects, rural development information system has established such goals as the assistance of project decision making through preparing rural development project data management system and acquiring evaluation efficiency, the preparation of spatial information utilization system, the utilization of objective GIS-based information through the increase of data management efficiency, the community activation and participatory rural development through rural spatial information portal service. In order to attain the goals, four strategical subject matters were derived. They are: 1) one-stop service subject matter for data management including pilot DB building for rural development projects, 2) rural information GIS service strengthening subject matter including DB building for rural development, O&M measures, 3) step-by-step DB building subject matter including the sharing of integrated information system for rural development, and 4) core value increase subject matter of spatial information data including the building of active service delivery system.

Same music file recognition method by using similarity measurement among music feature data (음악 특징점간의 유사도 측정을 이용한 동일음원 인식 방법)

  • Sung, Bo-Kyung;Chung, Myoung-Beom;Ko, Il-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.3
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    • pp.99-106
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    • 2008
  • Recently, digital music retrieval is using in many fields (Web portal. audio service site etc). In existing fields, Meta data of music are used for digital music retrieval. If Meta data are not right or do not exist, it is hard to get high accurate retrieval result. Contents based information retrieval that use music itself are researched for solving upper problem. In this paper, we propose Same music recognition method using similarity measurement. Feature data of digital music are extracted from waveform of music using Simplified MFCC (Mel Frequency Cepstral Coefficient). Similarity between digital music files are measured using DTW (Dynamic time Warping) that are used in Vision and Speech recognition fields. We success all of 500 times experiment in randomly collected 1000 songs from same genre for preying of proposed same music recognition method. 500 digital music were made by mixing different compressing codec and bit-rate from 60 digital audios. We ploved that similarity measurement using DTW can recognize same music.

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Design of Adaptive Retrieval System using XMDR based knowledge Sharing (지식 공유 기반의 XMDR을 이용한 적응형 검색 시스템 설계)

  • Hwang Chi-Gon;Jung Kye-Dong;Choi Young-Keun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8B
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    • pp.716-729
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    • 2006
  • The information systems in the most enterprise environments are distributed locally and are comprised with various heterogeneous data sources, so that it is difficult to obtain necessary and integrated information for supporting user decision. For solving 'this problems efficiently, it provides uniform interface to users and constructed database systems between heterogeneous systems make a consistence each independence and need to provide transparency like one interface. This paper presents XMDR that consists of category, standard ontology, location ontology and knowledge base. Standard ontology solves heterogeneous problem about naming, attributes, relations in data expression. Location ontology is a mediator that connects each legacy systems. Knowledge base defines the relation for sharing glossary. Adaptive retrieve proposes integrated retrieve system through reflecting site weight by location ontology, information sharing of various forms of knowledge base and integration and propose conceptual domain model about how to share unstructured knowledge.

Distributed Table Join for Scalable RDFS Reasoning on Cloud Computing Environment (클라우드 컴퓨팅 환경에서의 대용량 RDFS 추론을 위한 분산 테이블 조인 기법)

  • Lee, Wan-Gon;Kim, Je-Min;Park, Young-Tack
    • Journal of KIISE
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    • v.41 no.9
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    • pp.674-685
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    • 2014
  • The Knowledge service system needs to infer a new knowledge from indicated knowledge to provide its effective service. Most of the Knowledge service system is expressed in terms of ontology. The volume of knowledge information in a real world is getting massive, so effective technique for massive data of ontology is drawing attention. This paper is to provide the method to infer massive data-ontology to the extent of RDFS, based on cloud computing environment, and evaluate its capability. RDFS inference suggested in this paper is focused on both the method applying MapReduce based on RDFS meta table, and the method of single use of cloud computing memory without using MapReduce under distributed file computing environment. Therefore, this paper explains basically the inference system structure of each technique, the meta table set-up according to RDFS inference rule, and the algorithm of inference strategy. In order to evaluate suggested method in this paper, we perform experiment with LUBM set which is formal data to evaluate ontology inference and search speed. In case LUBM6000, the RDFS inference technique based on meta table had required 13.75 minutes(inferring 1,042 triples per second) to conduct total inference, whereas the method applying the cloud computing memory had needed 7.24 minutes(inferring 1,979 triples per second) showing its speed twice faster.

Detecting on Optimal Seeding and Harvesting Dates of Whole Crop Maize via Meta Data (사일리지용 옥수수의 메타자료를 이용한 적정 파종 및 수확시기의 탐색)

  • Jo, Hyun Wook;Kim, Si Chul;Kim, Moon Ju;Kim, Ji Yung;Jo, Mu Hwan;Kim, Byong Wan;Sung, Kyung Il
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.40 no.1
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    • pp.66-72
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    • 2020
  • This study aimed to discuss the optimal seeding and harvesting dates with growing degree days(GDD) via meta-data of whole crop maize(WCM). The raw data (n=3,152) contains cultivation year, cultivars, location, seeding and harvesting dates collected from various reports such as thesis, science journals and research reports (1982-2012). The processing was: recording, screening and modification of errors; Then, the final dataset (n=121) consists of seeding cases (n=29), and harvesting cases (n=92) which were used to detect the optimum. In addition, the optimal periods considering tolerance range and GDD also were estimated. As a result, the optimum seeding and harvesting periods were 14th April ~ 3rd May and 15th August ~ 4th September, respectively; where, their GDDs were 23.7~99.6℃ and 1,328.7~1,602.1℃, respectively. These GDDs could be used as a judge standard for selecting the seeding and harvesting dates.

RealTime Personal Video Image Protection on CCTV System using Intelligent IP Camera (지능형 IP 카메라를 이용한 CCTV 시스템에서의 실시간 개인 영상정보 보호)

  • HWANG, GIJIN;PARK, JAEPYO;YANG, SEUNGMIN
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.120-125
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    • 2016
  • For the purpose of protecting personal property and lives from incidents, accidents, and threats such as terrorism, video surveillance equipment has been installed and operates in many places. Video surveillance technology has gradually developed into high-quality, high-definition equipment, and a lot of products have been launched. However, closed circuit television (CCTV) equipment for security purposes can invade a person's privacy. In this paper, we propose a way to protect personal video images using meta-data in an intelligent Internet protocol (IP) camera. We designed the system to mask personal video information from meta-data, define the method of image-information access according to user privileges, and show how to utilize the meta-data during storage and recorded data searches. The suggested system complies with guidelines for CCTV installation and operation from Korea's Ministry of the Interior. Installed on only a single server so far, due to the limitations and technical difficulties of hardware performance, it has been difficult to find a method that can be applied to personal image information using real-time protection techniques. Applying the method proposed in this paper can satisfy the guidelines, reduce server costs, and reduce system complexity.

Diagnostic Accuracy of Ultrasonograph Guided Fine-needle Aspiration Cytologic in Staging of Axillary Lymph Node Metastasis in Breast Cancer Patients: a Meta-analysis

  • Wang, Xi-Wen;Xiong, Yun-Hui;Zen, Xiao-Qing;Lin, Hai-Bo;Liu, Qing-Yi
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.11
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    • pp.5517-5523
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    • 2012
  • Purpose: To evaluate the diagnostic accuracy of ultrasonograph and fine-needle aspiration cytologic examination (USG-FNAC) in the staging of axillary lymph node metastasis in breast cancer patients.Methods: We conducted an electronic search of the literature addressing the performance of USG-FNAC in diagnosis of axillary lymph node metastasis in databases such as Pubmed, Medline, Embase, Ovid and Cochrane library. We introduced a series of diagnostic test indices to evaluate the performance of USG-FNAC by the random effect model (REM), including sensitivity, specificity, likelihood ratios, and diagnostic odds ratios and area under the curve (AUC). Results: A total of 20 studies including 1371 cases and 1289 controls were identified. The pooled sensitivity was determined to be 0.66 (95% CI 0.64-0.69), specificity 0.98 (95% CI 0.98-0.99), positive likelihood ratio 22.7 (95% CI 15.0-34.49), negative likelihood ratio 0.32 (95% CI 0.25-0.41), diagnostic OR 84.2 (95% CI 53.3-133.0). Due to the marginal threshold effect found in some indices of diagnostic validity, we used a summary SROC curve to aggregate data, and obtained a symmetrical curve with an AUC of 0.942. Conclusion: The results of this meta-analysis indicated that the USG-FNAC techniques have acceptable diagnostic validity indices and can be used for early staging of axillary lymph node in breast cancer patients.

Comparison of Epidermal Growth Factor Receptor Mutations between Primary Tumors and Lymph Nodes in Non-small Cell Lung Cancer: a Review and Meta-analysis of Published Data

  • Wang, Feng;Fang, Ping;Hou, Dan-Yang;Leng, Zai-Jun;Cao, Le-Jie
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.11
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    • pp.4493-4497
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    • 2014
  • Background: Epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) can predict the clinical response to tyrosine kinase inhibitor (TKI) therapy. However, EGFR mutations may be different in primary tumors (PT) and metastatic lymph nodes (MLN). The aim of this study was to compare EGFR mutations between PT and the corresponding MLN in NSCLC patients, and provide some guidelines for clinical treatment using TKI therapy. Materials and Methods: A systematic review and meta-analysis was performed with several research databases. Relative risk (RR) with the 95% confidence interval (CI) were used to investigate the EGFR mutation status between PT and the corresponding MLN. A random-effects model was used. Results: 9 publications involving 707 patients were included in the analysis. It was found that activation of EGFR mutations identified in PT and the corresponding MLN was 26.4% (187/707) and 19.9% (141/707), respectively. The overall discordance rate in our meta-analysis was 12.2% (86/707). The relative risk (RR) for EGFR mutation in PT relative to MLN was 1.33 (95%CI: 1.10-1.60; random-effects model). There was no significant heterogeneity between the studies ($I^2$=5%, p=0.003). Conclusions: There exists a considerable degree of EGFR mutation discrepancy in NSCLC between PT and corresponding MLN, suggesting that tumor heterogeneity might arise at the molecular level during the process of metastasis.

Experimental Investigation of Macroscopic Analysis of Traffic Safety Using Meta Analysis Focused on Busan Metropolitan City (메타분석을 이용한 교통안전성의 거시적 분석에 대한 실험적 고찰 : 부산광역시를 중심으로)

  • Park, Jongseo;Oh, Yun Pyo;Kim, Hoe Kyoung;Ahn, Woosung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1339-1345
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    • 2015
  • Korean government annually estimates and reports the traffic safety index to evaluate the traffic safety of 228 Gu Gun. However, since the traffic safety index is derived from the spatially macroscopic perspective based on collected relative data, there are a couple of problems such as inability to investigate the individual traffic accidents on the spot, insecurity of accuracy and reliability of traffic safety index estimation method, and absence of establishing temporal relationship of traffic accidents. Thus, this study investigated temporal traffic safety in macroscopic manner for Gu Gun in Busan depending on the installation of the traffic safety facility (i.e., urban median), employing meta analysis. As a result, all Gu Gun in Busan except Saha, Buk, Dong, and Busanjin experienced more traffic accidents after installing the urban median, indicating that there are more rooms for improvement of macroscopic traffic safety evaluation.