• Title/Summary/Keyword: 과학기술 데이터

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An EXPRESS-to-XML Translator (EXPRESS 데이타를 XML 문서로 변환하는 번역기)

  • 이기호;김혜진
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.6
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    • pp.746-755
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    • 2002
  • EXPRESS is product information description language. It is interpretable by human and software. Product data written in EXPRESS make it possible to exchange between heterogeneous systems. However, the number of software that can use EXPRESS is limited and it is expensive to use the software. XML makes it possible to update and manage data on the Web. Because the Web is easier to use and access than other tools comparatively, data represented by XML need not depend on specific applications or systems and it can be used for exchange of data. Therefore, if we represent EXPRESS-driven data in XML, there will be more active data exchange widely and easily In this work, a method of translation EXPRESS document to XML DTD and XML Schema is proposed. By classification all of EXPRESS syntax element and consideration complex cases caused by this syntax element, a translation rule that represent XML DTD and XML Schema is suggested. Also, a translator which is corresponding to this rule is implemented.

Research Capability Enhancement System Based on Prescriptive Analytics (지시적 분석 기반 역량 강화 시스템)

  • Gim, Jangwon;Jung, Hanmin;Jeong, Do-Heon;Song, Sa-Kwang;Hwang, Myunggwon
    • KIISE Transactions on Computing Practices
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    • v.21 no.1
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    • pp.46-51
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    • 2015
  • The explosive growth of data and the rapidly changing technical social evolution new analysis paradigm for predicting and reacting the future the past and present ig data. Prescriptive analysis has a fundamental difference because can support specific behaviors and results according to user's goals with defin researchers establish judgments and activities achiev the goals. However research methods not widely implemented and even the terminology, Prescriptive analysis, is still unfamiliar. This paper thus propose an infrastructure in the prescriptive analysis field with key considerations for enhancing capability of researchers through a case study based on InSciTe Advisory developed with scientific big data. InSciTe Advisory system s developed in 2013, and offers a prescriptive analytics report which contains various As-Is analysis results and To-Be analysis results 5W1H methodology. InSciTe Advisory therefore shows possibility strategy aims to reach a target role model group. Through the availability and reliability of the measurement model the evaluation results obtained relative advantage of 118.8% compared to Elsevier SciVal.

Priority-based Hint Management Scheme for Improving Page Sharing Opportunity of Virtual Machines (가상머신의 페이지 공유 기회를 향상시키기 위한 우선순위 큐 기반 힌트 관리 기법)

  • Nam, Yeji;Lee, Minho;Lee, Dongwoo;Eom, Young Ik
    • Journal of KIISE
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    • v.43 no.9
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    • pp.947-952
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    • 2016
  • Most data centers attempt to consolidate servers using virtualization technology to efficiently utilize limited physical resources. Moreover, virtualized systems have commonly adopted contents-based page sharing mechanism for page deduplication among virtual machines (VMs). However, previous page sharing schemes are limited by the inability to effectively manage accumulated hints which mean sharable pages in stack. In this paper, we propose a priority-based hint management scheme to efficiently manage accumulated hints, which are sent from guest to host for improving page sharing opportunity in virtualized systems. Experimental results show that our scheme removes pages with low sharing potential, as compared with the previous schemes, by efficiently managing the accumulated pages.

Development of Information & Communications Technologies Merged Municipal Government Bridge Maintenance System (ICT 융합 지자체 교량 유지관리 시스템개발)

  • Yun, Youngman
    • Journal of the Society of Disaster Information
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    • v.13 no.4
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    • pp.476-482
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    • 2017
  • For the bridges managed by the municipalities, there is a need for a maintenance management system for the municipal governments for the scientific and systematic maintenance standard and the scientificization of the budget acquisition and execution through the quantified data base. The purpose of this study is to develop a system for efficient management of small bridgies maintained by the municipality and use ICT convergence technology such as BIM / GIS technology. The details of the system development include the development of the small bridgies maintenance program for mobile devices, the development of the small bridgies maintenance database, the development of the small bridgies integration maintenance management, and the reliability of the program system developed by checking the construction and operation contents of the small bridgies test-bed. The developed program system is linked to the development of smart name plate and reader module of non - power system.

Design of Oriental Medicine diagnosis system by Bio-Electric Response (생체-전기적 반응에 의한 한의학적 진단시스템의 설계)

  • 이용흠;장근중;박창규
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.2
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    • pp.420-429
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    • 2004
  • It has been needed diagnosis technology of the EFG(Electro Functio Gram) measurement concept which is incorporated characteristic of modern science and biomedical engineering, because function abnormality diagnosis can't diagnose with visualization instruments or clinical pathology. The general diagnosis system(EFG system) has been developed to use basic diagnosis instrument that has reappearance, reliance and convenience using the functio diagnosis technology, in the field of western/oriental medicine. Also, we improved sticking electrode and simultaneous measurement method of the limbs 8CH, head 2CH to diagnose body circulation of Qi and acupoints for Oriental Medicine diagnosis/therapy. The result of clinical for adult man 20 persons, the EFG system can diagnose state of 12 meridians and autonomic nervous system. Therefore, in this paper, we designed of oriental medicine diagnosis system by bio-electric response with materialized H/W and S/W for 12 meridians state diagnosis of human body and system construction of the EFG.

Dose Distribution of 100 MeV Proton Beams in KOMAC by using Liquid Organic Scintillator (액체 섬광체를 이용한 100 MeV 양성자 빔의 선량 분포 평가)

  • Kim, Sunghwan
    • Journal of radiological science and technology
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    • v.40 no.4
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    • pp.621-626
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    • 2017
  • In this paper, an optical dosimetric system for radiation dose measurement is developed and characterized for 100 MeV proton beams in KOMAC(Korea Multi-Purpose Accelerator Complex). The system consists of 10 wt% Ultima GoldTM liquid organic scintillator in the ethanol, a camera lens(50 mm / f1.8), and a high sensitivity CMOS(complementary metal-oxide-semiconductor) camera (ASI120MM, ZWO Co.). The FOV(field of view) of the system is designed to be 150 mm at a distance of 2 m. This system showed sufficient linearity in the range of 1~40 Gy for the 100 MeV proton beams in KOMAC. We also successfully got the percentage depth dose and the isodose curves of the 100 MeV proton beams from the captured images. Because the solvent is not a human tissue equivalent material, we can not directly measure the absorbed dose of the human body. Through this study, we have established the optical dosimetric procedure and propose a new volume dose assessment method.

Auto-tagging Method for Unlabeled Item Images with Hypernetworks for Article-related Item Recommender Systems (잡지기사 관련 상품 연계 추천 서비스를 위한 하이퍼네트워크 기반의 상품이미지 자동 태깅 기법)

  • Ha, Jung-Woo;Kim, Byoung-Hee;Lee, Ba-Do;Zhang, Byoung-Tak
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.10
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    • pp.1010-1014
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    • 2010
  • Article-related product recommender system is an emerging e-commerce service which recommends items based on association in contexts between items and articles. Current services recommend based on the similarity between tags of articles and items, which is deficient not only due to the high cost in manual tagging but also low accuracies in recommendation. As a component of novel article-related item recommender system, we propose a new method for tagging item images based on pre-defined categories. We suggest a hypernetwork-based algorithm for learning association between images, which is represented by visual words, and categories of products. Learned hypernetwork are used to assign multiple tags to unlabeled item images. We show the ability of our method with a product set of real-world online shopping-mall including 1,251 product images with 10 categories. Experimental results not only show that the proposed method has competitive tagging performance compared with other classifiers but also present that the proposed multi-tagging method based on hypernetworks improves the accuracy of tagging.

A Study on the Mitigation of Taxi Supply and Demand Discrepancy by Adjusting Expected Revenues of Platform Taxi Calls (택시호출 간 기대수익 조정을 통한 택시 수급불일치 완화방안 연구)

  • Song, Jaein;Kang, Min Hee;Hwang, Kee yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.5
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    • pp.157-171
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    • 2021
  • As smartphones spread and ICT technologies develop, taxi services have changed from hovering to platform-based calls and reservations. This has improved the mobility and accessibility of taxi users but caused problems, such as digital observing (no-responses to calls) for either short-distance services or services during the peak-demand periods. Digital Observing means ignoring and not accepting calls when they occur, which require improvement. Therefore, this study aims to derive measures to mitigate discrepancies in taxi supply and demand by adjusting the expected revenue of each taxi service using reinforcement learning based on the Taxi operation data. The results confirmed that the average complete response rate to calls would increase from 50.29% to 54.24% when incentives are applied, and an improvement of 5.86% can be achieved in short-distance sections of less than 5,000 won incentives. It is expected that the improvement will increase profitability for drivers, reduce the waiting time for passengers, and improve satisfaction with taxi services overall.

General Radiography Usage and Exposure Dose of Korean Elderly: Based on Data from Aged Patients in 2016 (한국 노인의 일반촬영 이용량 및 피폭선량: 2016년 고령환자데이터 기반)

  • Gil, Jong-Won;Yoo, Se-Jong;Lee, Won-Jeong
    • Journal of radiological science and technology
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    • v.44 no.5
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    • pp.495-502
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    • 2021
  • This study aims to provide basic data for elderly health insurance policy and medical radiation safety management by analyzing the general radiography usage and exposure dose of the elderly in Korea. The effective dose for each general radiography was calculated using the ALARA-GR program for 260 general radiography codes selected from 'National Health Insurance Care Benefit Cost'. The usage of general radiography was analyzed in the 2016 elderly patient data of the Health Insurance Review and Assessment Service, and the effective dose for each general radiography was applied. The general radiography usage and exposure dose per person aged 65 years and over was 6.47 cases and 0.56 mSv. Females showed higher value than males as 7.15 cases and 0.66 mSv(p<.001). By age, those between 75 and 79 showed the highest number as 6.97 cases and 0.62 mSv(p<.001). Those who were supported by Medical Aid showed higher value than those who were insured by National Health Insurance as 8.82 cases and 0.76 mSv(p<.001). In addition, the ratio by radiography was in the order of Chest 20.85%, Knee Joint 15.58%, and L-spine 14.67%, and the exposure dose was L-spine 29.40%, Chest 15.82%, Abdomen 7.97%, and Entire Spine 7.20%. General radiography, which is widely used due to the high frequency of diseases in the elderly population should be taken into consideration when establishing health insurance policies. In addition, it is necessary to check whether the general radiography with high exposure dose is performed as a routine examination without considering medical necessity.

On-orbit Thermal Analysis for Verification of Thermal Design of Korea Pathfinder Lunar Orbiter (시험용 달 궤도선의 열설계 검증을 위한 궤도 열해석)

  • Jang, Byung-Kwan;Lee, Jang-Joon;Hyun, Bum-Seok
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.12
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    • pp.1028-1036
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    • 2018
  • KARI plans to launch Korea Pathfinder Lunar Orbiter (KPLO) to the Moon by December 2020 for the first step of the Korea Lunar Exploration Project. This orbiter will be launched to obtain lunar exploration technologies and science data in advance before launching a main orbiter and a lunar probe. This paper describes the verification of thermal design for the orbiter. It is exposed to more extreme thermal environment than that of low Earth orbit satellite due to the heavy infrared emission of the Moon. Accordingly, a thermal design considering this environment is needed to maintain the temperature of payloads and components equipped in the orbiter within operating temperature range in all orbits. We performed the thermal analysis for Earth-Moon transfer orbit, lunar mission orbit and lunar eclipse required for thermal design verification of the lunar orbiter. As a result, this thermal design met the design requirements.