• 제목/요약/키워드: integrated analysis system

검색결과 3,113건 처리시간 0.04초

효율적인 신호교차로 운영방안 연구 (A Study on Efficient Management of Traffic Flow on Intersection)

  • 황인식;김수성;오세경
    • 한국지리정보학회지
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    • 제12권3호
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    • pp.45-55
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    • 2009
  • 본 연구의 목적은 교차로에서 교통류관리의 효율성을 증대시키는 것으로, 연구 결과 신호교차로 에서의 교통류의 효율성을 증대시키기 위해 좌회전 진입허가 lane의 설치를 제안하였다. 연구의 범위는 진입교통신호를 기다리는 차량들이 있는 신호교차로를 선정하여 교통신호현시를 변경함에 따른 신호교차로, 방향 및 신호현시별 교통량(밀도)의 기하학적 구조를 연구하는 것이다. 현 상황과 개선 안 적용시의 방향별 교차로전체의 지체가 비교되었다. 교통분석 패키지인 TSIS(Traffic Software Integrated System)를 사용하여 교차로 교통상황이 분석되었다. 도입가능한 실제 교차로를 조사하여 마산시 석전교차로를 대상으로 시뮬레이션한 결과 비보호로 진입한 방향에서는 지체가 78.6초/대 향상되었으며, 지체가 증가할 것으로 예상되는 방향에서는 4초/대의 증가로 큰 영향을 주지않았다. 즉, 교차로 전체의 대기시간이 개선되었다고 확인할 수 있었다.

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국외 상수도 원격검침 시스템(IBM, Oracle, Itron) 분석 (Analysis of Automatic Meter Reading Systems (IBM, Oracle, and Itron))

  • 주진철;김주환;이두진;최태호;김종규
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.264-264
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    • 2017
  • 국외의 상수도 원격검침 시스템 내 데이터 전송방식은 도시 규모, 계량기의 밀도, 전력공급 여부 및 통신망의 설치 여부 등을 종합적으로 고려하여 결정되었다. 대부분의 스마트워터미터 제조업체들은 계량기의 부호기가 공급하는 판독 내용(데이터)을 전송할 검침단말기와 근거리 통신망(neighborhood area network)을 연계하여 개발 및 판매하였으며, 자체 소유 통신 프로토콜을 사용하여 라디오 주파수(RF) 통신 기술을 사용하고 있다. 광역통신망(wide area network)의 경우, 노드(말단의 계량기 및 센서)들과 이에 연결된 통신망 들을 포함한 네트웍의 배열이나 구성이 스타(star), 메쉬(mesh), 버스(bus), 나무(tree) 등의 형태로 통신망이 구성되어 있으나, 스타와 메쉬형 통신망 구성형태가 가장 널리 활용되는 것으로 조사되었다. 시스템 통합운영관리 업체들인 IBM, Oracle, Itron 등은 용수 인프라 관리 또는 통합네트워크 솔루션 등의 통합 물관리 시스템(integrated water management system)을 개발하여 현장적용을 하고 있으며, 원격검침 시스템을 통해 고객들의 현재 소비량과 과거 누적 소비량, 누수 감지 서비스 및 실시간 요금 고지 등을 실시간으로 웹 포털과 앱을 통해 제공하고 있다. 또한, 일부 제조업체들은 도시 용수공급/소비 관리자가 주민의 용수사용량을 모니터링하여 일평균 용수사용량 및 사용 경향을 파악하고, 누수를 검지하여 복구 및 용수 사용 지속가능성 지수를 제시하고, 실시간으로 주민의 용수사용량 관련 데이터를 모니터링하여 용수공급의 최적화를 위한 의사결정지원 서비스를 용수공급자에게 제공하고 있다. 최근에는 인공지능을 활용해 가정용수의 용도별(세탁용수, 화장실용수, 샤워용수, 식기세척용수 등) 사용량 곡선을 패터닝하여 profiling 기법을 도입해, 스마트워터미터에서 용수사용량이 통합되어 검지될 시 용수사용량의 세부 용도별 re-profiling 기법을 도입하여 가정용수내 과소비되는 지점을 도출 후 절감을 유도하는 기술이 개발 중이다. 또한, 미래 용수 사용량 예측을 위해 다양한 시계열 자료를 분석하는 선형 종속 모형(자기회귀모형, 자기회귀이동평균모형, 자기회귀적분이동평균모형 등)과 비선형 종속 모형(Fuzzy Logic, Neural Network, Genetic Algorithm 등)을 활용한 예측기능이 구축되어 상호 비교하여 최적의 용수사용량 예측 도구를 제공되고 있다.

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Microstructure evolution and effect on deuterium retention in oxide dispersion strengthened tungsten during He+ irradiation

  • Ding, Xiao-Yu;Xu, Qiu;Zhu, Xiao-yong;Luo, Lai-Ma;Huang, Jian-Jun;Yu, Bin;Gao, Xiang;Li, Jian-Gang;Wu, Yu-Cheng
    • Nuclear Engineering and Technology
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    • 제52권12호
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    • pp.2860-2866
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    • 2020
  • Oxide dispersion-strengthened materials W-1wt%Pr2O3 and W-1wt%La2O3 were synthesized by wet chemical method and spark plasma sintering. The field emission scanning electron microscopy (FE-SEM) analysis, XRD and Vickers microhardness measurements were conducted to characterize the samples. The irradiations were carried out with a 5 keV helium ion beam to fluences up to 5.0 × 1021 ions/m2 under 600 ℃ using the low-energy ion irradiation system. Transmission electron microscopy (TEM) study was performed to investigate the microstructural evolution in W-1wt%Pr2O3 and W-1wt%La2O3. At 1.0 × 1020 He+/m2, the average loops size of the W-1wt%Pr2O3 was 4.3 nm, much lower than W-1wt% La2O3 of 8.5 nm. However, helium bubbles were not observed throughout in both doped W materials. The effects of pre-irradiation with 1.0 × 1021 He+/m2 on trapping of injected deuterium in doped W was studied by thermal desorption spectrometry (TDS) technique using quadrupole mass spectrometer. Compared with the samples without He+ pre-irradiation, deuterium (D) retention of doped W materials increased after He+ irradiation, whose retention was unsaturated at the damage level of 1.0 × 1022D2+/m2. The present results implied that irradiation effect of He+ ions must be taken into account to evaluate the deuterium retention in fusion material applications.

혈관염 및 자반증의 한의학적 치료에 대한 국내 임상 논문 분석 (Review of Korean Medicine Treatments for Purpura and Vasculitis in Korean Journals)

  • 강동원;박중군;한창이;김규석;김윤범
    • 한방안이비인후피부과학회지
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    • 제32권3호
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    • pp.116-135
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    • 2019
  • Objectives : The purpose of this study is to analyze how purpura and vasculitis have been treated with Korean medicine and potentially to present with future direction of research and treatment. Methods : We searched clinical studies from the Korean databases including Oriental medicine Advanced Searching Integrated System(OASIS), Korean Traditional Knowledge Portal(KTKP), National Discovery for Science Leader(NDSL), Research Information Sharing Service(RISS), using keywords related to "Purpura" and "Vasculitis" from January 2000 to May 2019. Results : A total of 20 studies were selected for analysis. More than half of the patients provided with detailed information were under 19 year-olds, and upper respiratory infection, stress and fatigue, seasonal factor were among the most frequently stated as predisposing factors. Among many treatment modalities, herbal medicine was the most frequently used, followed by acupuncture and herbal acupuncture. 23 basic herbal medicine formulas were retrieved from 20 articles, most frequently used being Guibi-tang(歸脾湯加味), Samul-tang(四物湯加味) and Yukmijihwang-tang(六味地黃湯加味). In total, 122 Korean medicine herbs were used, most frequently used herbs being Glycyrrhizae Radix et Rhizoma(甘草), Angelicae Gigantis Radix(當歸), Poria Sclerotium(茯?) and Paeoniae Radix(芍藥). By its category, herbs were mostly classified into Tonyfying and replenishing medicinal(補益藥), Heat-clearing medicinal(淸熱藥) and Exterior-releasing medicinal(解表藥). Patients with total treatment period of 3 months or under were 2/3 of all cases provided with detailed information. Follow up periods were short in general with only 6 cases of over 6 months. The primary motive of patients to receive Korean medicine treatments was unresponsiveness or adverse effects of western medication. Conclusion : Through this literature review, we could find out tendencies of Korean medicine treatments of purpura and vasculitis up to date and some points that may have clinical significance.

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

  • Kim, Joo-Chang;Chung, Kyungyong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권4호
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    • pp.2060-2077
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    • 2019
  • Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

동북아 지역에서 중국의 미래 배출량 변화가 오존농도와 보건에 미치는 영향 (Impact of Future Chinese Emissions on Ozone Air Quality and Human Health in Northeast Asia)

  • 김현국;유영숙;우정헌;홍성철;김덕래;서정현;신명환;김상균
    • 한국기후변화학회지
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    • 제7권4호
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    • pp.451-463
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    • 2016
  • We explore the impact of Chinese future air pollutant emissions on ozone air quality in Northeast Asia (NEA) and health in South-Korea using an assessment framework including ICAMS (The Integrated Climate and Air Quality Modeling System) and BenMAP (The Environmental Benefits Mapping and Analysis Program). The emissions data sets from the climate change scenarios, the Representative Concentration Pathways (RCPs) (emission scenarios, EMSO), are used to simulate ozone air quality in NEA in the current (1996~2005, 2000s), the near future (2016~2025, 2020s) and the distant future (2046~2055, 2050s). Furthermore, the simulated ozone changes in the 2050s are used to analyze ozone-related premature mortality and economic cost in South-Korea. While different EMSOs are applied to the China region, fixed EMSO are used for other country regions to isolate the impacts of the Chinese emissions. Predicted ozone changes in NEA are distinctively affected by large changes in NOx emission over most of China region. Comparing the 2020s with the 2000s situation, the largest increase in mean ozone concentrations in NEA is simulated under RCP 8.5 and similarly small increases are under other RCPs. In the 2050s in NEA, the largest increase in mean ozone concentrations is simulated under RCP 6.0 and leads to the occurrence of the highest premature mortalities and economic costs in South-Korea. Whereas, the largest decrease is simulated under RCP 4.5 leads to the highest avoided premature mortality numbers and economic costs. Our results suggest that continuous reduction of NOx emissions across the China region under an assertive climate change mitigation scenario like RCP 4.5 leads to improved future ozone air quality and health benefits in the NEA countries including South-Korea.

아토피 피부염 증례 연구 분석 - 한약 처방을 중심으로 - (Analysis of Case Studies of Treating Atopic Dermatitis - focusing on Korean Herbal Medicine Used in Cases -)

  • 한창이;박중군;강동원;박소영;김봉현;김윤범;김규석
    • 한방안이비인후피부과학회지
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    • 제32권3호
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    • pp.151-163
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    • 2019
  • Objectives : The purpose of this study is to investigate the use of herbal medicine for the treatment of atopic dermatitis in cases and to find the general tendency of herbal medicine treatment and to establish the primary treatment direction of Atopic dermatitis. Methods : In the domestic databases, Oriental medicine Advanced Searching Integrated System(OASIS), Korean Traditional Knowledge Portal(KTKP), National Discovery for Science Leader(NDSL), Research Information Sharing Service(RISS), we selected among the papers published in the last 20 years using search terms related to "Atopic dermatitis & Cases". Reports based on Sasang constitutional medicine and Six meridian pattern identification were excluded and a total of 21 papers were finally selected. Results : 113 herbal medicines were retrieved from 21 papers. The most commonly used herbs are Scutellariae Radix(黃芩), Rehmanniae Radix(地黃), and Glycyrrhizae Radix et Rhizoma(甘草). Atractylodis Rhizoma(蒼朮), Akebiae Caulis(木通), Smilacis Rhizoma(土茯?), Paeoniae Radix(芍藥) used mostly when Oozing exists, Trichosanthis Radix (瓜蔞), Asparagi Radix(天門冬), Persicae Semen(桃仁), Carthami Flos(紅花) used mostly when Dryness, Lichenification, and Pigmentation exist. The average score of SCORAD index was improved after Herbal medicine treatment. Conclusion : Through this study, we could find out the tendency of herbal medicine to treat Atopic dermatitis along with Symptoms.

반려동물 웰빙을 위한 스마트 IoT 기술 도입 수용요인에 관한 연구 (A Study on the Acceptance Factors of the Introduction of a Smart IoT Technology for Well-being Companion Animal)

  • 강성광;김훈태;지용구;이정영
    • 한국전자거래학회지
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    • 제24권2호
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    • pp.143-163
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    • 2019
  • 본 연구는 통합기술수용모델을 기반으로 반려동물 건강을 지키기 위한 반려인들의 스마트 IoT 기술 도입에 따른 수용요인과 그에 미치는 영향요인을 규명하였다. 선행 연구를 바탕으로 기술적 요인과 사회적 요인, 조절변인, 매개변인(UTAUT)으로 구성하고, 각 요인별 독립변인과 종속변인인 수용의도 사이의 경로분석을 통해 가설을 설정하고 변인들의 측정항목을 정의하여 변인들 간의 관계분석을 검증하기 위한 연구모형을 설계하였으며 494명을 대상으로 측정항목에 대한 설문을 조사하였다. 분석결과, 기술적 요인의 제품디자인, 서비스품질, 제품성능, 서비스 품질은 성과기대와 노력기대에 유의한 영향을 미쳤다. 그러나 제품안정성, 기능인지, 제품가격에서는 성과기대, 노력기대에서 유의한 영향을 미치지 못하였다. 사회적 요인에서는 인지적효과, 복지제도, 복지시설에서 유의한 영향을 미쳤다. 조절효과에서는 성별, 사용경험, 혁신성에서는 차이가 없는 것으로 나타났지만, 연령에서는 차이가 있는 것으로 나타났다. 최종적으로, 기술적 요인과 사회적 요인을 비교분석한 결과 사회적 요인의 복지제도와 복지시설이 수용에 더 크게 영향을 미치고 있다는 것을 파악되었다.

축산 유기성 폐기물 자원화 정책의 중요도-만족도 분석 (Importance-Performance Analysis of the Livestock Organic Wastes Recycling Policy)

  • 김원태;서대석
    • 한국산학기술학회논문지
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    • 제19권12호
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    • pp.523-531
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    • 2018
  • 축산부문 유기성 폐자원의 자원화사업은 퇴 액비화, 사료화, 바이오가스화, 고형연료화 등이 진행되고 있다. 본 논문의 목적은 축산부문 유기성 폐자원 자원화 정책의 우선과제 및 시사점을 도출하는 것이다. 이를 위해 관련 전문가를 대상으로 축산부문 유기성 폐자원의 자원화방안에 대하여 리커트 5점 척도의 중요도-만족도를 조사하였다. 축산 유기성 폐자원의 자원화에 대한 중요도와 만족도의 평균은 각각 3.63, 3.04점이며, 크론바하 알파값은 모두 0.7 이상으로 높은 신뢰성을 보이고 있다. 중요도와 만족도에 따른 가축분뇨 자원화 사업의 우선 시행순위는 퇴 액비화, 사료화, 바이오가스화, 고형연료화 순으로 나타났다. 가축분뇨 자원화 방안에 대한 IPA 분석결과 사료 품질 개선, 퇴 액비 수요처 확대, 지역단위 재활용시스템 구축, 생산비 절감 기술 개발, 수요자 연계 강화, 액비 품질인증 기준 제정 등은 중요도와 만족도에서 모두 높은 점수를 얻어 현 상태를 계속 유지해야 하는 것으로 나타났다. 악취저감기술 보급 촉진, 가축분뇨 바이오매스와 기타 바이오매스 통합 관리 등은 집중적인 지원이 필요한 것으로 나타났다. 발전차액지원제도 부활, 농부산물 사료화 촉진, 고형연료화 전과정 관리기준 설정, 위생안전기준 법제화, 에코비즈 개발 및 사료화 촉진 등은 중장기 대책으로 전환할 필요가 있다. 축산 부문 유기성 폐자원의 자원화 촉진을 위해 악취저감기술개발 지원 강화, 관련 부처간 협의기구 마련, 환경친화적 고형연료화 기술개발 및 정책적 지원, 신재생에너지 공급인증서 지원문제 해결을 위한 제도 정비 등이 요구된다.

Analysis of the Genome Sequence of Strain GiC-126 of Gloeostereum incarnatum with Genetic Linkage Map

  • Jiang, Wan-Zhu;Yao, Fang-Jie;Fang, Ming;Lu, Li-Xin;Zhang, You-Min;Wang, Peng;Meng, Jing-Jing;Lu, Jia;Ma, Xiao-Xu;He, Qi;Shao, Kai-Sheng;Khan, Asif Ali;Wei, Yun-Hui
    • Mycobiology
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    • 제49권4호
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    • pp.406-420
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    • 2021
  • Gloeostereum incarnatum has edible and medicinal value and was first cultivated and domesticated in China. We sequenced the G. incarnatum monokaryotic strain GiC-126 on an Illumina HiSeq X Ten system and obtained a 34.52-Mb genome assembly sequence that encoded 16,895 predicted genes. We combined the GiC-126 genome with the published genome of G. incarnatum strain CCMJ2665 to construct a genetic linkage map (GiC-126 genome) that had 10 linkage groups (LGs), and the 15 assembly sequences of CCMJ2665 were integrated into 8 LGs. We identified 1912 simple sequence repeat (SSR) loci and detected 700 genes containing 768 SSRs in the genome; 65 and 100 of them were annotated with gene ontology (GO) terms and KEGG pathways, respectively. Carbohydrate-active enzymes (CAZymes) were identified in 20 fungal genomes and annotated; among them, 144 CAZymes were annotated in the GiC-126 genome. The A mating-type locus (MAT-A) of G. incarnatum was located on scaffold885 at 38.9 cM of LG1 and was flanked by two homeodomain (HD1) genes, mip and beta-fg. Fourteen segregation distortion markers were detected in the genetic linkage map, all of which were skewed toward the parent GiC-126. They formed three segregation distortion regions (SDR1-SDR3), and 22 predictive genes were found in scaffold1920 where three segregation distortion markers were located in SDR1. In this study, we corrected and updated the genomic information of G. incarnatum. Our results will provide a theoretical basis for fine gene mapping, functional gene cloning, and genetic breeding the follow-up of G. incarnatum.