• Title/Summary/Keyword: 공간 분할 기법

Search Result 656, Processing Time 0.033 seconds

A Study on the Mathematical Programming Approach to the Subway Routing Problem (지하철 차량운용 문제에 대한 수리적 해법에 관한 연구)

  • Kim, Kyung-Min;Hong, Soon-Heum
    • Proceedings of the KSR Conference
    • /
    • 2007.11a
    • /
    • pp.1731-1737
    • /
    • 2007
  • This paper considers subway routing problem. Given a schedule of train to be routed by a railway stock, the routing problem determines a sequence of trains while satisfying turnaround time and maintenance restrictions. Generally, the solution of routing problem is generated from set partition formulation solved by column generation method, a typical integer programming approach for train-set. However, we find the characteristics of metropolitan subway which has a simple rail network, a few end stations and 13 departure-arrival patterns. We reflect a turn-around constraint due to spatial limitations has no existence in conventional railroad. Our objective is to minimize the number of daily train-sets. In this paper, we develop two basic techniques that solve the subway routing problem in a reasonable time. In first stage, we formulate the routing problem as a Min-cost-flow problem. Then, in the second stage, we attempt to normalize the distance covered to each routes and reduce the travel distance using our heuristic approach. Applied to the current daily timetable, we could find the subway routings, which is an approximately 14% improvement on the number of train-sets reducing 15% of maximum traveling distance and 8% of the standard deviation.

  • PDF

Development of Very Short-term Rainfall-Runoff Forecast system Using Radar and Rainfall Numerical Weather Prediction Data (레이더 및 강우수치예보자료를 이용한 초단기강우-유출예측시스템 개발)

  • Park, Jin-Hyeog;Kang, Boo-Sik
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2007.05a
    • /
    • pp.281-285
    • /
    • 2007
  • 본 연구에서는 보다 신뢰성 있고 정확한 정량적 강우예측자료를 생성하기 위하여 레이더강우 및 강우수치예보자료를 합성하는 기법을 제시하였고, 레이더 전처리 및 예측시스템, GIS와 연계한 물리적기반의 분포형모형인 Vflo모형 등 최신 수자원 IT기술을 활용하여 홍수기 돌발홍수에 대응한 초단기 정량적 강우-유출예측을 목적으로 향후 실시간으로 적용 가능한 분포형유출예측시스템의 기반을 구축하고자 하였다. 대상유역은 국지적인 고해상도 지형효과를 고려한 QPM이 개발되어 있는 금강권역의 용담댐유역이며, 예측 강우에 대한 호우사상은 2005년 이후 발생한 3개 강우사상을 대상으로 하였다. 한편, 기상 레이더 자료로부터 산정된 강수량의 수문학적 적용을 위하여 DEM, 토지피복도, 토양도 등의 기본 GIS자료들을 수집 및 구축하였고 물리적기반의 분포형모형(Vflo)의 입력인자로 사용하기 위한 12개의 공간분포형 수문매개변수들을 대표적인 GIS 소프트웨어인 ArcGIS 및 ArcView를 활용하여 추출하였으며, Vflo모형의 현업 적용가능성을 오프라인 상에서 검증해보았다. 모형 검증결과, GIS를 이용한 지형, 토양, 토지피복과 같은 물리적 특성을 사용한 모형의 초기 설정을 향상시킴에 의해 첨두유량, 유출량, 첨두도달시간차 등에서 만족할만한 결과를 보여주었다고 사료된다. 레이더 및 수치예보자료와 합성한 4가지의 형태(QPE, JQPE, QPM, BQPF)의 분포형 입력강우를 이용하여 적용해 본 결과 Nowcasting기법을 이용한 JQPF는 자료의 특성상 초기 1시간30분동안은 비교적 양호한 결과를 얻었으나 3시간 전후로 가면서 예측강우의 질이 저하되기 시작하였으나 QPM을 합성함으로써 생산한 BQPF는 보다 신뢰성있고 양호한 결과를 얻을 수 있었다. 이러한 결과들은 향후 정량적 분포형강우 예측을 이용한 실시간 홍수유출 예측시 댐운영자는 리드타임(홍수선행시간)을 충분히 확보함으로서 안정적이고 예측 가능한 홍수조절을 하는데 도움을 줄 수 있을 것으로 기대된다. 이와 같이 다양한 단기저수지 유입량의 예측정보 제공으로 다목적댐 저수지 운영모형의 효용성을 제고하여 향후 실제 저수지 유입량 예측에 이용함으로써 저수지 단기운영효율 개선에 기여할 수 있을 것으로 사료된다.

  • PDF

A Fast Parity Resynchronization Scheme for Small and Mid-sized RAIDs (중소형 레이드를 위한 빠른 패리티 재동기화 기법)

  • Baek, Sung Hoon;Park, Ki-Wong
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.2 no.10
    • /
    • pp.413-420
    • /
    • 2013
  • Redundant arrays of independent disks (RAID) without a power-fail-safe component in small and mid-sized business suffers from intolerably long resynchronization time after a unclean power-failure. Data blocks and a parity block in a stripe must be updated in a consistent manner, however a data block may be updated but the corresponding parity block may not be updated when a power goes off. Such a partially modified stripe must be updated with a correct parity block. However, it is difficult to find which stripe is partially updated (inconsistent). The widely-used traditional parity resynchronization manner is a intolerably long process that scans the entire volume to find and fix inconsistent stripes. This paper presents a fast resynchronization scheme with a negligible overhead for small and mid-sized RAIDs. The proposed scheme is integrated into a software RAID driver in a Linux system. According to the performance evaluation, the proposed scheme shortens the resynchronization process from 200 minutes to 5 seconds with 2% overhead for normal I/Os.

Distributed Rainfall-Runoff Modeling Using GIS (GIS를 이용한 분산형 강우-유형 모형의 개발)

  • 김경숙;박종현;윤기준;이상호
    • Korean Journal of Remote Sensing
    • /
    • v.11 no.2
    • /
    • pp.1-16
    • /
    • 1995
  • This study is conducted to eveluate the potential of a GIS to assist an application problem. GIS has been applied to rainfall-runoff modeling over Soyang area. Various rainfall-runoff models have been developed over the years. A distributed rainfall-runoff model is selected because it considers the topographic characteristics over the basin. GIS can handle the spatial data to enhance the modeling. GRASS-a public domain GIS S/W-is used for GIS tools. Digital database is generated, including soil map, vegetation map, digital elevation model, basin and subbasin map, and water stream. The inpu data for the model has been generated and manupulated using GIS. The database, model and GIS are integrated for on-line operation. The inflow hydrographs are tested for the flood of Sept., 1990. This shows the promising results even without the calibration.

An Optimal Design of Neuro-Fuzzy Logic Controller Using Lamarckian Co-adaptation of Learning and Evolution (학습과 진화의 Lamarckian 상호 적응에 의한 뉴로-퍼지 제어기의 최적 설계)

  • 김대진;이한별;강대성
    • Journal of the Korean Institute of Telematics and Electronics C
    • /
    • v.35C no.12
    • /
    • pp.85-98
    • /
    • 1998
  • This paper proposes a new design method of neuro-FLC by the Lamarckian co-adaptation scheme that incorporates the backpropagation learning into the GA evolution in an attempt to find optimal design parameters (fuzzy rule base and membership functions) of application-specific FLC. The design parameters are determined by evolution and learning in a way that the evolution performs the global search and makes inter-FLC parameter adjustments in order to obtain both the optimal rule base having high covering value and small number of useful fuzzy rules and the optimal membership functions having small approximation error and good control performance while the learning performs the local search and makes intra-FLC parameter adjustments by interacting each FLC with its environment. The proposed co-adaptive design method produces better approximation ability because it includes the backpropagation learning in every generation of GA evolution, shows better control performance because the used COG defuzzifier computes the crisp value accurately, and requires small workspace because the optimization procedure of fuzzy rule base and membership functions is performed concurrently by an integrated fitness function on the same fuzzy partition. Simulation results show that the Lamarckian co-adapted FLC produces the most superior one among the differently generated FLCs in all aspects such as the number of fuzzy rules, the approximation ability, and the control performance.

  • PDF

The Application Methods of FarmMap Reading in Agricultural Land Using Deep Learning (딥러닝을 이용한 농경지 팜맵 판독 적용 방안)

  • Wee Seong Seung;Jung Nam Su;Lee Won Suk;Shin Yong Tae
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.12 no.2
    • /
    • pp.77-82
    • /
    • 2023
  • The Ministry of Agriculture, Food and Rural Affairs established the FarmMap, an digital map of agricultural land. In this study, using deep learning, we suggest the application of farm map reading to farmland such as paddy fields, fields, ginseng, fruit trees, facilities, and uncultivated land. The farm map is used as spatial information for planting status and drone operation by digitizing agricultural land in the real world using aerial and satellite images. A reading manual has been prepared and updated every year by demarcating the boundaries of agricultural land and reading the attributes. Human reading of agricultural land differs depending on reading ability and experience, and reading errors are difficult to verify in reality because of budget limitations. The farmmap has location information and class information of the corresponding object in the image of 5 types of farmland properties, so the suitable AI technique was tested with ResNet50, an instance segmentation model. The results of attribute reading of agricultural land using deep learning and attribute reading by humans were compared. If technology is developed by focusing on attribute reading that shows different results in the future, it is expected that it will play a big role in reducing attribute errors and improving the accuracy of digital map of agricultural land.

Development and Application of Tunnel Design Automation Technology Using 3D Spatial Information : BIM-Based Design for Namhae Seomyeon - Yeosu Shindeok National Highway Construction (3D 공간정보를 활용한 터널 설계 자동화 기술 개발 및 적용 사례 : 남해 서면-여수 신덕 국도 건설공사 BIM기반 설계를 중심으로)

  • Eunji Jo;Woojin Kim;Kwangyeom Kim;Jaeho Jung;Sanghyuk Bang
    • Tunnel and Underground Space
    • /
    • v.33 no.4
    • /
    • pp.209-227
    • /
    • 2023
  • The government continues to announce measures to revitalize smart construction technology based on BIM for productivity innovation in the construction industry. In the design phase, the goal is design automation and optimization by converging BIM Data and other advanced technologies. Accordingly, in the basic design of the Namhae Seomyeon-Yeosu Sindeok National Road Construction Project, a domestic undersea tunnel project, BIM-based design was carried out by developing tunnel design automation technology using 3D spatial information according to the tunnel design process. In order to derive the optimal alignment, more than 10,000 alignment cases were generated in 36hr using the generative design technique and a quantitative evaluation of the objective functions defined by the designer was performed. AI-based ground classification and 3D Geo Model were established to evaluate the economic feasibility and stability of the optimal alignment. AI-based ground classification has improved its precision by performing about 30 types of ground classification per borehole, and in the case of the 3D Geo Model, its utilization can be expected in that it can accumulate ground data added during construction. In the case of 3D blasting design, the optimal charge weight was derived in 5 minutes by reviewing all security objects on the project range on Dynamo, and the design result was visualized in 3D space for intuitive and convenient construction management so that it could be used directly during construction.

Restoration, Prediction and Noise Analysis of Geomagnetic Time-series Data (시계열 지자기 측정 자료의 복원, 예측 및 잡음 분석 연구)

  • Ji, Yoon-Soo;Oh, Seok-Hoon;Suh, Baek-Soo;Lee, Duk-Kee
    • Journal of the Korean earth science society
    • /
    • v.32 no.6
    • /
    • pp.613-628
    • /
    • 2011
  • Restoration, prediction and noise analysis of geomagnetic data measured in the Korean Peninsula were performed. Restoration methods based on an optimized principal component analysis (PCA) and the geostatistical kriging approach were proposed, and its effectiveness was also interpreted. The PCA-based method seemed to be effective to restore the periodical signals and the geostatistical approach was stable to fill the gaps of measurements. To analyze the noise level for each observatory, the geomagnetic time-series was plotted by scattergram which reflects the spatial variation, using data observed during same period. The scattergram showed that the observation made at Cheongyang seemed to have better quality in spatial continuity and stability, and the restoration result was also better than that of Icheon site. For the restoration, both of the methods, geostatistical and optimizaed PCA, showed stable result when the missing of observation was within 20 points. However, in case of more missing observations than 20 points and prediction problem, the optimized PCA seemed to be closer to the real observation considering the frequency-domain characteristics. The prediction using the optimized PCA seems to be plausible for one day of period for interpretation.

Cluster and Polarity Analysis of Online Discussion Communities Using User Bipartite Graph Model (사용자 이분그래프모형을 이용한 온라인 커뮤니티 토론 네트워크의 군집성과 극성 분석)

  • Kim, Sung-Hwan;Tak, Haesung;Cho, Hwan-Gue
    • Journal of Internet Computing and Services
    • /
    • v.19 no.5
    • /
    • pp.89-96
    • /
    • 2018
  • In online communities, a large number of participants can exchange their opinion using replies without time and space restrictions. While the online space provides quick and free communication, it also easily triggers unnecessary quarrels and conflicts. The network established on the discussion participants is an important cue to analyze the confrontation and predict serious disputes. In this paper, we present a quantitative measure for polarity observed on the discussion network built from reply exchanges in online communities. The proposed method uses the comment exchange information to establish the user interaction network graph, computes its maximum spanning tree, and then performs vertex coloring to assign two colors to each node in order to divide the discussion participants into two subsets. Using the proportion of the comment exchanges across the partitioned user subsets, we compute the polarity measure, and quantify how discussion participants are bipolarized. Using experimental results, we demonstrate the effectiveness of our method for detecting polarization and show participants of a specific discussion subject tend to be divided into two camps when they debate.

A Study on Efficient Cell Queueing and Scheduling Algorithms for Multimedia Support in ATM Switches (ATM 교환기에서 멀티미디어 트래픽 지원을 위한 효율적인 셀 큐잉 및 스케줄링 알고리즘에 관한 연구)

  • Park, Jin-Su;Lee, Sung-Won;Kim, Young-Beom
    • Journal of IKEEE
    • /
    • v.5 no.1 s.8
    • /
    • pp.100-110
    • /
    • 2001
  • In this paper, we investigated several buffer management schemes for the design of shared-memory type ATM switches, which can enhance the utilization of switch resources and can support quality-of-service (QoS) functionalities. Our results show that dynamic threshold (DT) scheme demonstrate a moderate degree of robustness close to pushout(PO) scheme, which is known to be impractical in the perspective of hardware implementation, under various traffic conditions such as traffic loads, burstyness of incoming traffic, and load non-uniformity across output ports. Next, we considered buffer management strategies to support QoS functions, which utilize parameter values obtained via connection admission control (CAC) procedures to set tile threshold values. Through simulations, we showed that the buffer management schemes adopted behave well in the sense that they can protect regulated traffic from unregulated cell traffic in allocating buffer space. In particular, it was observed that dynamic partitioning is superior in terms of QoS support than virtual partitioning.

  • PDF