• Title/Summary/Keyword: Map Index System

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A New Approach for Hierarchical Dividing to Passenger Nodes in Passenger Dedicated Line

  • Zhao, Chanchan;Liu, Feng;Hai, Xiaowei
    • Journal of Information Processing Systems
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    • v.14 no.3
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    • pp.694-708
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    • 2018
  • China possesses a passenger dedicated line system of large scale, passenger flow intensity with uneven distribution, and passenger nodes with complicated relations. Consequently, the significance of passenger nodes shall be considered and the dissimilarity of passenger nodes shall be analyzed in compiling passenger train operation and conducting transportation allocation. For this purpose, the passenger nodes need to be hierarchically divided. Targeting at problems such as hierarchical dividing process vulnerable to subjective factors and local optimum in the current research, we propose a clustering approach based on self-organizing map (SOM) and k-means, and then, harnessing the new approach, hierarchical dividing of passenger dedicated line passenger nodes is effectuated. Specifically, objective passenger nodes parameters are selected and SOM is used to give a preliminary passenger nodes clustering firstly; secondly, Davies-Bouldin index is used to determine the number of clusters of the passenger nodes; and thirdly, k-means is used to conduct accurate clustering, thus getting the hierarchical dividing of passenger nodes. Through example analysis, the feasibility and rationality of the algorithm was proved.

Space Weather Monitoring System for Geostationary Satellites and Polar Routes

  • Baek, Ji-Hye;Lee, Jae-Jin;Choi, Seong-Hwan;Hwang, Jung-A;Hwang, Eun-Mi;Park, Young-Deuk
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.101.2-101.2
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    • 2011
  • We have developed solar and space weather monitoring system for space weather users since 2007 as a project named 'Construction of Korea Space Weather Prediction Center'. In this presentation we will introduce space weather monitoring system for Geostationary Satellites and Polar Routes. These were developed for satisfying demands of space weather user groups. 'Space Weather Monitoring System for Geostationary Satellites' displays integrated space weather information on geostationary orbit such as magnetopause location, nowcast and forecast of space weather, cosmic ray count rate, number of meteors and x-ray solar flux. This system is developed for space weather customers who are managing satellite systems or using satellite information. In addition, this system provides space weather warning by SMS in which short message is delivered to users' cell phones when space weather parameters reach a critical value. 'Space Weather Monitoring System for Polar Routes' was developed for the commercial airline companies operating polar routes. This provides D-region and polar cap absorption map, aurora and radiation particle distribution, nowcast and forecast of space weather, proton flux, Kp index and so on.

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Changes in expression of the autophagy-related genes microtubule-associated protein 1 light chain 3β and autophagy related 7 in skeletal muscle of fattening Japanese Black cattle: a pilot study

  • Nakanishi, Tomonori;Tokunaga, Tadaaki;Ishida, Takafumi;Kobayashi, Ikuo;Katahama, Yuta;Yano, Azusa;Erickson, Laurie;Kawahara, Satoshi
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.4
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    • pp.592-598
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    • 2019
  • Objective: Autophagy is a bulk degradation system for intracellular proteins which contributes to skeletal muscle homeostasis, according to previous studies in humans and rodents. However, there is a lack of information on the physiological role of autophagy in the skeletal muscle of meat animals. This study was planned as a pilot study to investigate changes in expression of two major autophagy-related genes, microtubule-associated protein 1 light chain $3{\beta}$ (MAP1LC3B) and autophagy related 7 (ATG7) in fattening beef cattle, and to compare them with skeletal muscle growth. Methods: Six castrated Japanese Black cattle (initial body weight: $503{\pm}20kg$) were enrolled in this study and fattened for 7 months. Three skeletal muscles, M. longissimus, M. gluteus medius, and M. semimembranosus, were collected by needle biopsy three times during the observation period, and mRNA levels of MAP1LC3B and ATG7 were determined by quantitative reverse-transcription polymerase chain reaction. The expression levels of genes associated with the ubiquitin-proteasome system, another proteolytic mechanism, were also analyzed for comparison with autophagy-related genes. In addition, ultrasonic scanning was repeatedly performed to measure M. longissimus area as an index of muscle growth. Results: Our results showed that both MAP1LC3B and ATG7 expression increased over the observation period in all three skeletal muscles. Interestingly, the increase in expression of these two genes in M. longissimus was highly correlated with ultrasonic M. longissimus area and body weight. On the other hand, the expression of genes associated with the ubiquitin-proteasome system was unchanged during the same period. Conclusion: These findings suggest that autophagy plays an important role in the growth of skeletal muscle of fattening beef cattle and imply that autophagic activity affects meat productivity.

Path Combining System of XML Documents based on Relational DBMS (관계형 DBMS 기반의 XML 문서 경로 통합 시스템)

  • Lee, Bum-Suk;Hwang, Byung-Yeon
    • Journal of Korea Multimedia Society
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    • v.11 no.4
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    • pp.415-422
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    • 2008
  • With the increasing use of XML, considerable research is being conducted on the XML document management systems for more efficient storage and searching of XML documents. Depending on the base systems, these researches can be classified into object-oriented DBMS (OODBMS) and relational DBMS (RDBMS). OODBMS-based systems are better suited to reflect the structure of XML-documents than RDBMS based ones. However, using an XML parser to map the contents of documents to relational tables is a better way to construct a stable and effective XML document management system. The proposed X-Binder system uses an RDBMS-based inverted index; this guarantees high searching speed but wastes considerable storage space. To avoid this, the proposed system incorporates a path combining module agent that combines paths with sibling relations, and stores them in a single row. Performance evaluation revealed that the proposed system reduces storage wastage and search time.

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A Study on Defense Technology Level Evaluation of Force Support Systems (국방 전력지원체계 기술수준조사에 대한 연구)

  • Lee, Donghun;Hong, Seongdon;Kim, Young-Geon
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.2
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    • pp.112-119
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    • 2014
  • A force support system is composed of capital components such as combat equipments, supplies and so on to enable constant fighting power capability. Private technology level evaluation is on the rise as an important spin-on method in force support systems, which requires 92% of total munitions requirements, to obtain superior private technology. The evaluation of the private sector technology level on Korean force support systems has been conducted for the first time as follows: this research chose 38 items to be acquired within 2-3 years and grouped either identical or similar technology among those 38 items. A technology evaluating method was established based on the analysis of domestic and foreign technology level evaluations. Evaluation was performed by a Delphi survey from 180 private and military experts. To obtain an objective index and raise political availability, a technology system map and standard document were developed and applied to all 38 items.

Parallel Processing of Satellite Images using CUDA Library: Focused on NDVI Calculation (CUDA 라이브러리를 이용한 위성영상 병렬처리 : NDVI 연산을 중심으로)

  • LEE, Kang-Hun;JO, Myung-Hee;LEE, Won-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.29-42
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    • 2016
  • Remote sensing allows acquisition of information across a large area without contacting objects, and has thus been rapidly developed by application to different areas. Thus, with the development of remote sensing, satellites are able to rapidly advance in terms of their image resolution. As a result, satellites that use remote sensing have been applied to conduct research across many areas of the world. However, while research on remote sensing is being implemented across various areas, research on data processing is presently insufficient; that is, as satellite resources are further developed, data processing continues to lag behind. Accordingly, this paper discusses plans to maximize the performance of satellite image processing by utilizing the CUDA(Compute Unified Device Architecture) Library of NVIDIA, a parallel processing technique. The discussion in this paper proceeds as follows. First, standard KOMPSAT(Korea Multi-Purpose Satellite) images of various sizes are subdivided into five types. NDVI(Normalized Difference Vegetation Index) is implemented to the subdivided images. Next, ArcMap and the two techniques, each based on CPU or GPU, are used to implement NDVI. The histograms of each image are then compared after each implementation to analyze the different processing speeds when using CPU and GPU. The results indicate that both the CPU version and GPU version images are equal with the ArcMap images, and after the histogram comparison, the NDVI code was correctly implemented. In terms of the processing speed, GPU showed 5 times faster results than CPU. Accordingly, this research shows that a parallel processing technique using CUDA Library can enhance the data processing speed of satellites images, and that this data processing benefits from multiple advanced remote sensing techniques as compared to a simple pixel computation like NDVI.

Real-Time Flood Forecasting Using Rainfall-Runoff Model(I) : Theory and Modeling (강우-유출모형을 이용한 실시간 홍수예측(I) : 이론과 모형화)

  • 정동국;이길성
    • Water for future
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    • v.27 no.1
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    • pp.89-99
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    • 1994
  • Flood forecasting in Korea has been based on the off-line parameter estimation method. But recent flood forecasting studies explore on-line recursive parameter estimation algorithms. In this study, a simultaneous adaptive estimation of system states and parameters for rainfall-runoff model is investigated for on-line real-time flood forecasting and parameter estimation. The proposed flood routing system is composed of Flood forecasting in Korea has been based on the off-line parameter estimation method. But recent flood forecasting studies explore on-line recursive parameter estimation algorithms. In this study, a simultaneous adaptive estimation of system states and parameters for rainfall-runoff model is investigated for on-line real-time flood forecasting and parameter estimation. The proposed flood routing system is composed of ø-index in the assessment of effective rainfall and the cascade of nonlinear reservoirs accounting for translation effect in flood routing. To combine the flood routing model with a parameter estimation model, system states and parameters are treated with the extended state-space formulation. Generalized least squares and maximum a posterior estimation algorithms are comparatively examined as estimation techniques for the state-space model. The sensitivity analysis is to investigate the identifiability of the parameters. The index of sensitivity used in this study is the covariance matrix of the estimated parameters.-index in the assessment of effective rainfall and the cascade of nonlinear reservoirs accounting for translation effect in flood routing. To combine the flood routing model with a parameter estimation model, system states and parameters are treated with the extended state-space formulation. Generalized least squares and maximum a posterior estimation algorithms are comparatively examined as estimation techniques for the state-space model. The sensitivity analysis is to investigate the identifiability of the parameters. The index of sensitivity used in this study is the covariance matrix of the estimated parameters.

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Finding Frequent Route of Taxi Trip Events Based on MapReduce and MongoDB (택시 데이터에 대한 효율적인 Top-K 빈도 검색)

  • Putri, Fadhilah Kurnia;An, Seonga;Purnaningtyas, Magdalena Trie;Jeong, Han-You;Kwon, Joonho
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.9
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    • pp.347-356
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    • 2015
  • Due to the rapid development of IoT(Internet of Things) technology, traditional taxis are connected through dispatchers and location systems. Typically, modern taxis have embedded with GPS(Global Positioning System), which aims for obtaining the route information. By analyzing the frequency of taxi trip events, we can find the frequent route for a given query time. However, a scalability problem would occur when we convert the raw location data of taxi trip events into the analyzed frequency information due to the volume of location data. For this problem, we propose a NoSQL based top-K query system for taxi trip events. First, we analyze raw taxi trip events and extract frequencies of all routes. Then, we store the frequency information into hash-based index structure of MongoDB which is a document-oriented NoSQL database. Efficient top-K query processing for frequent route is done with the top of the MongoDB. We validate the efficiency of our algorithms by using real taxi trip events of New York City.

Development of Drought Monitoring System: I. Applicability of Drought Indices for Quantitative Drought Monitoring (가뭄모니터링 시스템 구축: I. 정량적 가뭄모니터링을 위한 가뭄지수의 적용성 분석)

  • Lee Joo-Heon;Jeong Sang-Man;Kim Seong-Joon;Lee Myung-Ho
    • Journal of Korea Water Resources Association
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    • v.39 no.9 s.170
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    • pp.787-800
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    • 2006
  • This study is to develop the drought monitoring system of Korea using drought indices such as PDSI, SPI and MSWSI. To analyze the applicability of three different drought indices, monthly based drought indices have been calculated using various kinds of meteorological and hydrologic data. Also past drought events have been investigated to compare the simulation results, which are the severity, duration and locations using monthly drought indices. The drought map which is made by using PDSI shows the best accordance with past drought events in its severity and duration as well. Also SPI(3) shows good accordance with past drought events. As a results of this study, we concluded that three different drought indices can be used as an effective tool for quantitative drought monitoring.

A Exploratory Study on the Relation of Subjective Performance and Objective Performance in Voucher Service: Focusing on Organization Efficiency and User Satisfaction Level (바우처 서비스 제공기관의 객관적 성과와 주관적 성과의 연계성에 관한 탐색적 연구 -기관운영의 효율성과 이용자 만족도 차원을 중심으로-)

  • Shin, Chang-Hwan
    • Korean Journal of Social Welfare Studies
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    • v.43 no.2
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    • pp.5-29
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    • 2012
  • Previous performance evaluation focusing on objective data of service agency has the limitations that did not reflect user-centered evaluation. With the expansion of voucher service, importance of perspective of service user such as satisfaction index is increasing. As voucher service has been delivered by the financial burden of government and user, we need the performance evaluation system that reflects the both performance indices to meet the accountability of two stake-holders. So this study focuses on deriving integrated evaluation system developing systems what mixed objective and subjective performance. Data used in this study is collected form 70 social service agencies that deliver voucher service and 1445 service users. Using General Satisfaction Index and Efficiency Index by DEA, this study analysed the correlation between efficiency and satisfaction index, and integrated performance evaluation model is constructed through portfolio map. This study has the following implication. This study theoretically explains the relation of objective performance and subjective performance and gives practical guidance in performance evaluation criterion and interpretation of performance.