• Title/Summary/Keyword: large database

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A Study on the Satisfaction Analysis on Officially Assessed Land Price Using Time Seriate Geostatistical Analysis (시계열적 공간통계 기법을 활용한 공시지가의 만족도 분석에 관한 연구)

  • Choi, Byoung Gil;Na, Young Woo;Hyeon, Chang Seop;Cho, Tae In
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.2
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    • pp.95-104
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    • 2018
  • This study has the purpose of suggesting the method to analyze the spatiotemporal change of satisfaction concerning the officially assessed land price using geostatistical analysis. Analyzing the spatial distribution characteristic of officially assessed land price using present GIS (Geographic Information System) or is staying at qualitatively suggesting the improvement method of the officially assessed land price system. Grouping the appeal strength based on the official price and opinion price of officially assessed land price, GIS DB (Database) was constructed and the time seriate satisfaction were analyzed and compared through spatial density analysis and spatial autocorrelation analysis. As a result, it was found that the difference between the official price and the applicant's price differed depending on individual land, but most of the respondents requested the increase or the reduction of the average land price, which resulted in a large number of request. Analyzing the satisfaction of the officially assessed land price by using GIS, it was known that satisfaction of officially assessed land price could be analyzed by using the difference of the opinion price and not only the officially assessed land price. Spatiotemporal change of officially assessed land price satisfaction was known to be possible through spatiotemporal pattern analysis method such as spatiotemporal auto-corelation analysis and hotspot analysis etc using GIS. In short, regionally positive or negative significant relationship was investigated through spatiotemporal analysis using annual data.

Assessment of Earthquake Induced Landslide Susceptibility with Variation of Groundwater Level (지하수위 변화에 따른 지진 유발 산사태의 취약섬 분석)

  • Kim, Ji-Seok;Park, Hyuek-Jin;Lee, Jung-Hyun
    • Economic and Environmental Geology
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    • v.44 no.4
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    • pp.289-302
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    • 2011
  • Since the frequency of the earthquake occurrence in Korean peninsular is continuously increasing, the possibility that massive landslides are triggered by earthquake is also growing in Korea. Previously, the landslide is known to be induced by large magnitude earthquake, whose magnitude is larger than 6.0. However, the landslide can be induced by only small magnitude earthquake, especially in the fully saturated soil. Therefore, the susceptibility of landslide caused by small magnitude earthquake in fully saturated soil is analyzed in this study. For that, the topographical and geological characteristics of the site were obtained and managed by GIS software. In the procedure of the study, slope angle, cohesion, friction angle, unit weight of soil were obtained and constructed as a spatial database layer. Combining these data sets in a dynamic model based on Newmark's displacement analysis, the landslide displacements were estimated in each grid cell. In order to check out the possibility of the earthquake induced landslides, the level of the groundwater table is varied from dry to 80% saturated soil. In addition, in order to analyze the effect of the magnitude of earthquake and distance to epicenter, four different earthquakes epicenters were considered in the study area.

Design of Disaster Control System based on 4S Kernel Component (4S 핵심 컴포넌트 기반의 재난재해 시스템 설계)

  • Joo, In-Hak;Lee, Seung-Yong;Oh, Byoung-Woo;Kim, Min-Soo
    • Journal of Korea Spatial Information System Society
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    • v.3 no.1 s.5
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    • pp.27-36
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    • 2001
  • The 4S represents four systems that are commonly related to spatial information: GIS, GNSS, SIIS, ITS. The 4S technology that integrates the four systems gets more and more interests recently. In this paper, we adopt component paradigm to 4S system, apply it to the disaster control field, and design a system based on component architecture. There are many application areas to which the 4S technology can be applied. but the disaster control system is one of the most typical fields. We apply 4S technology to the disaster control fields, including fire, flood, and typhoon. Because of the characteristics of disaster control system that handles large-volume map data, component-based 4S system will take considerable effects on the improvement of disaster control works. The core functions that are common to all disaster control fields are included in 4S kernel component because of the consideration of time performance. Remaining non-common functions are implemented as separate components named as work-specific components. In our suggested system, a vehicle named as 4S-Van collects real-time information on the spot of disaster and sends image and location information to control center via wireless transmission. The control center analyzes the information together with its own spatial database or map, which was not possible in the conventional disaster control works. The control center can get desired information by sending a request of re-transmission to 4S-Van. Such method of real-time transmission supported by on-the-spot information makes the current situation judgment, decision making, and order issuance more exact, effective, and timely. The suggested system and method are expected to bring remarkable improvement on disaster control works.

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Building an SNS Crawling System Using Python (Python을 이용한 SNS 크롤링 시스템 구축)

  • Lee, Jong-Hwa
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.5
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    • pp.61-76
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    • 2018
  • Everything is coming into the world of network where modern people are living. The Internet of Things that attach sensors to objects allows real-time data transfer to and from the network. Mobile devices, essential for modern humans, play an important role in keeping all traces of everyday life in real time. Through the social network services, information acquisition activities and communication activities are left in a huge network in real time. From the business point of view, customer needs analysis begins with SNS data. In this research, we want to build an automatic collection system of SNS contents of web environment in real time using Python. We want to help customers' needs analysis through the typical data collection system of Instagram, Twitter, and YouTube, which has a large number of users worldwide. It is stored in database through the exploitation process and NLP process by using the virtual web browser in the Python web server environment. According to the results of this study, we want to conduct service through the site, the desired data is automatically collected by the search function and the netizen's response can be confirmed in real time. Through time series data analysis. Also, since the search was performed within 5 seconds of the execution result, the advantage of the proposed algorithm is confirmed.

Radiological Risk Assessment for the Public Under the Loss of Medium and Large Sources Using Bayesian Methodology (베이지안 기법에 의거한 중대형 방사선원의 분실 시 일반인에 대한 방사선 위험도의 평가)

  • Kim, Joo-Yeon;Jang, Han-Ki;Lee, Jai-Ki
    • Journal of Radiation Protection and Research
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    • v.30 no.2
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    • pp.91-97
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    • 2005
  • Bayesian methodology is appropriated for use in PRA because subjective knowledges as well as objective data are applied to assessment. In this study, radiological risk based on Bayesian methodology is assessed for the loss of source in field radiography. The exposure scenario for the lost source presented in U.S. NRC is reconstructed by considering the domestic situation and Bayes theorem is applied to updating of failure probabilities of safety functions. In case of updating of failure probabilities, it shows that 5 % Bayes credible intervals using Jeffreys prior distribution are lower than ones using vague prior distribution. It is noted that Jeffreys prior distribution is appropriated in risk assessment for systems having very low failure probabilities. And, it shows that the mean of the expected annual dose for the public based on Bayesian methodology is higher than the dose based on classical methodology because the means of the updated probabilities are higher than classical probabilities. The database for radiological risk assessment are sparse in domestic. It summarizes that Bayesian methodology can be applied as an useful alternative lot risk assessment and the study on risk assessment will be contributed to risk-informed regulation in the field of radiation safety.

Workcase based Very Large Scale Workflow System Architecture (워크케이스 기반의 초대형 워크플로우 시스템 아키텍쳐)

  • 심성수;김광훈
    • Proceedings of the Korea Database Society Conference
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    • 2002.10a
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    • pp.403-416
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    • 2002
  • 워크플로우 관리 시스템은 정부나 기업과 같은 조직의 작업을 처리하기 위한 비즈니스 프로세스를 컴퓨터를 기반으로 자동화함으로서 작업의 효율을 높이고 비용을 절감한다. 현재에 이르러 이런 워크플로우 시스템을 사용하는 조직들이 점차 거대화되어 가고 네트워크의 발달과 인터넷의 출현으로 인하여 워크플로우 시스템이 처리하여야 하는 작업의 수와 고객과 작업자 수 등이 빠른 속도로 증가하는 추세이다. 이런 추세에서 워크플로우 시스템은 거대 조직 환경에 적합한 워크플로우 시스템 아키텍쳐를 필요하게 된다. 이에 본 논문은 거대 조직 환경을 관리할 수 있는 워크플로우 관리 시스템으로 워크케이스 기반의 초대형 워크플로우 시스템의 아키텍쳐를 설계 및 구현 하고자 한다. 그리고 워크플로우 시스템 아키텍쳐를 분류, 분석하여 장단점을 가려내어 이를 기반으로 워크플로우 시스템 아키텍쳐의 성능을 예측하여 워크케이스 기반 워크플로우 시스템 아키텍쳐가 본 논문에서 제안하는 초대형 워크플로우 시스템의 아키텍쳐라는 것을 예측하여 본다. 또한 초대형 워크플로우 시스템을 위하하부 구조로 EJB(Enterprise Java Beans)를 사용하고 사용 이유를 기술한다. 본 논문에서는 이런 워크케이스 기반의 초대형 워크플로우 시스템 아키텍쳐를 위하여 개념적인 단계와 설계 단계, 구현 단계로 나누어 설계 및 구현을 하며 개념적인 단계에서는 워크케이스 기반 워크플로우 시스템 아키텍쳐에 대하여 상세히 기술하고 설계단계에서는 전체적인 기능 정의와 초대형 워크플로우 시스템의 구조를 설계한다. 그리고 구현 단계에서는 워크케이스 기반의 초대형 워크플로우 시스템 아키텍쳐를 실제 구현하기 위한 환경을 선택하고 구현 단계의 문제점들과 해결책을 기술한다. 다 솔레노이드방식 감압건조장치로 건조한 표고버섯으로 품위에 대한 유의성 검증결과, 표고버섯의 경우 온도별로는 색택과 복원률, 건조실 내부 압력별로는 수축률, 복원률에서 유의차가 있는 것으로 나타났다. 라. 본 연구에서 구명된 감압건조특성을 기초로 하여 배치식 감압건조기를 설계 제작에 활용하고자 한다.ational banks. Several financial interchange standards which are involved in B2B business of e-procurement, e-placement, e-payment are also investigated.. monocytogenes, E. coli 및 S. enteritidis에 대한 키토산의 최소저해농도는 각각 0.1461 mg/mL, 0.2419 mg/mL, 0.0980 mg/mL 및 0.0490 mg/mL로 측정되었다. 또한 2%(v/v) 초산 자체의 최소저해농도를 측정한 결과, B. cereus, L. mosocytogenes, E. eoli에 대해서는 control과 비교시 유의적인 항균효과는 나타나지 않았다. 반면에 S. enteritidis의 경우는 배양시간 4시간까지는 항균활성을 나타내었지만, 8시간 이후부터는 S. enteritidis의 성장이 control 보다 높아져 배양시간 20시간에서는 control 보다 약 2배 이상 균주의 성장을 촉진시켰다.차에 따른 개별화 학습을 가능하게 할 뿐만 아니라 능동적인 참여를 유도하여 학습효율을 높일 수 있을 것으로 기대된다.향은 패션마케팅의 정의와 적용범위를 축소시킬 수 있는 위험을 내재한 것으로 보여진다. 그런가 하면, 많이 다루어진 주제라 할지라도 개념이나 용어가 통일되지 않고

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Mitochondrial Genome Sequence of Echinostoma revolutum from Red-Crowned Crane (Grus japonensis)

  • Ran, Rongkun;Zhao, Qi;Abuzeid, Asmaa M.I.;Huang, Yue;Liu, Yunqiu;Sun, Yongxiang;He, Long;Li, Xiu;Liu, Jumei;Li, Guoqing
    • Parasites, Hosts and Diseases
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    • v.58 no.1
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    • pp.73-79
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    • 2020
  • Echinostoma revolutum is a zoonotic food-borne intestinal trematode that can cause intestinal bleeding, enteritis, and diarrhea in human and birds. To identify a suspected E. revolutum trematode from a red-crowned crane (Grus japonensis) and to reveal the genetic characteristics of its mitochondrial (mt) genome, the internal transcribed spacer (ITS) and complete mt genome sequence of this trematode were amplified. The results identified the trematode as E. revolutum. Its entire mt genome sequence was 15,714 bp in length, including 12 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes and one non-coding region (NCR), with 61.73% A+T base content and a significant AT preference. The length of the 22 tRNA genes ranged from 59 bp to 70 bp, and their secondary structure showed the typical cloverleaf and D-loop structure. The length of the large subunit of rRNA (rrnL) and the small subunit of rRNA (rrnS) gene was 1,011 bp and 742 bp, respectively. Phylogenetic trees showed that E. revolutum and E. miyagawai clustered together, belonging to Echinostomatidae with Hypoderaeum conoideum. This study may enrich the mitochondrial gene database of Echinostoma trematodes and provide valuable data for studying the molecular identification and phylogeny of some digenean trematodes.

Transcriptome profiling and comparative analysis of Panax ginseng adventitious roots

  • Jayakodi, Murukarthick;Lee, Sang-Choon;Park, Hyun-Seung;Jang, Woojong;Lee, Yun Sun;Choi, Beom-Soon;Nah, Gyoung Ju;Kim, Do-Soon;Natesan, Senthil;Sun, Chao;Yang, Tae-Jin
    • Journal of Ginseng Research
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    • v.38 no.4
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    • pp.278-288
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    • 2014
  • Background: Panax ginseng Meyer is a traditional medicinal plant famous for its strong therapeutic effects and serves as an important herbal medicine. To understand and manipulate genes involved in secondary metabolic pathways including ginsenosides, transcriptome profiling of P. ginseng is essential. Methods: RNA-seq analysis of adventitious roots of two P. ginseng cultivars, Chunpoong (CP) and Cheongsun (CS), was performed using the Illumina HiSeq platform. After transcripts were assembled, expression profiling was performed. Results: Assemblies were generated from ~85 million and ~77 million high-quality reads from CP and CS cultivars, respectively. A total of 35,527 and 27,716 transcripts were obtained from the CP and CS assemblies, respectively. Annotation of the transcriptomes showed that approximately 90% of the transcripts had significant matches in public databases.We identified several candidate genes involved in ginsenoside biosynthesis. In addition, a large number of transcripts (17%) with different gene ontology designations were uniquely detected in adventitious roots compared to normal ginseng roots. Conclusion: This study will provide a comprehensive insight into the transcriptome of ginseng adventitious roots, and a way for successful transcriptome analysis and profiling of resource plants with less genomic information. The transcriptome profiling data generated in this study are available in our newly created adventitious root transcriptome database (http://im-crop.snu.ac.kr/transdb/index.php) for public use.

Influences of Chronic Pain on the Use of Medical Services in South Korea (만성 통증이 한국의 의료 이용 행태에 미치는 영향)

  • Jeong, Eui-Kyun;Kwak, Yeun-Hee;Song, Jae-Seok
    • The Journal of the Korea Contents Association
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    • v.15 no.2
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    • pp.363-369
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    • 2015
  • Chronic pain is one of the leading causes of hospital visits. It not only affects the patients themselves but also has a major negative impact on their families and society. In this study, we investigated epidemiology of musculoskeletal disorders induced chronic pain among general population based on Korea National Health and Nutrition Examination Survey database and also analysed how it influenced on the use of medical services. This study was done by using the data of 5th Korea National Health and Nutrition Examination Survey (KNHANES V), taking aged 20 years and over adults as research subjects. The EuroQoL-5 Dimension Index(EQ-5D) was used as a survey instrument. T-test, chi-square test and multivariate logistic regression were used for statistical analysis. Subjects with chronic pain had a higher likelihood than control group to use medical services(odds ratio : 5.858, confidence interval 3.636-9.438). Controlling for existence of chronic pain, more women were likely to use medical services than men(1.156, 0.707-1.889). Age, gender and household income level did not affect the use of medical services. Proper control of chronic pain is very helpful in improving patient's quality of life and it also accounts for a large proportion in suppressing excessive consumption of medical services. Anesthesia and pain medicine specialists have superior knowledge about analgesics and anticonvulsants than other physicians do and also have specialized skills to perform procedures like nerve blocks in treating chronic pain. Therefore Anesthesia and pain medicine specialists need to play a leading role in managing chronic pain.

Odysseus/m: a High-Performance ORDBMS Tightly-Coupled with IR Features (오디세우스/IR: 정보 검색 기능과 밀결합된 고성능 객체 관계형 DBMS)

  • Whang Kyu-Young;Lee Min-Jae;Lee Jae-Gil;Kim Min-Soo;Han Wook-Shin
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.3
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    • pp.209-215
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    • 2005
  • Conventional ORDBMS vendors provide extension mechanisms for adding user-defined types and functions to their own DBMSs. Here, the extension mechanisms are implemented using a high-level interface. We call this technique loose-coupling. The advantage of loose-coupling is that it is easy to implement. However, it is not preferable for implementing new data types and operations in large databases when high Performance is required. In this paper, we propose to use the notion of tight-coupling to satisfy this requirement. In tight-coupling, new data types and operations are integrated into the core of the DBMS engine. Thus, they are supported in a consistent manner with high performance. This tight-coupling architecture is being used to incorporate information retrieval(IR) features and spatial database features into the Odysseus/IR ORDBMS that has been under development at KAIST/AITrc. In this paper, we introduce Odysseus/IR and explain its tightly-coupled IR features (U.S. patented). We then demonstrate a web search engine that is capable of managing 20 million web pages in a non-parallel configuration using Odysseus/IR.