• Title/Summary/Keyword: Path extraction

Search Result 127, Processing Time 0.031 seconds

GIS-Based Design Flood Estimation of Ungauged Watershed (논문 - GIS기반의 미계측 유역 설계홍수량 산정)

  • Hong, Seong-Min;Jung, In-Kyun;Park, Jong-Yoon;Lee, Mi-Seon;Kim, Seong-Joon
    • KCID journal
    • /
    • v.18 no.2
    • /
    • pp.87-100
    • /
    • 2011
  • This study is to delineate the watershed hydrological parameters such as area, slope, rain gauge weight, NRCS-CN and time of concentration (Tc) by using the Geographic Information Sytem (GIS) technique, and estimation of design flood for an ungauged watershed. Especially, we attempted to determine the Tc of ungauged watershed and develop simple program using the cell-based algorithm to calculates upstream or downstream flow time along a flow path for each cell. For a $19km^2$ watershed of tributary of Nakdong river (Seupmoon), the parameters including flow direction, flow accumulation, watershed boundary, stream network and Tc map were extracted from 30m Agreeburn DEM (Digital Elevation Model) and landcover map. And NRCS-CN was extracted from 30m landcover map and soil map. Design rainfall estimation for two rainfall gauge which are Sunsan and Jangcheon using FARD2006 that developed by National Institute for Disaster Prevention (NIDP). Using the parameters as input data of HEC-l model, the design flood was estimated by applying Clark unit hydrograph method. The results showed that the design flood of 50 year frequency of this study was $8m^3/sec$ less than that of the previous fundamental plan in 1994. The value difference came from the different application of watershed parameter, different rainfall distribution (Huff quartile vs. Mononobe) and critical durations. We could infer that the GIS-based parameter preparation is more reasonable than the previous hand-made extraction of watershed parameters.

  • PDF

Implementation of a very small 13.56[MHz] RFID Reader ensuring machine ID recognition in a noise space within 3Cm (3Cm 이내의 잡음 공간 속 기계 ID 인식을 보장하는 초소형 13.56[MHz] RFID Reader의 구현)

  • Park, Seung-Chang;Kim, Dae-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.43 no.10 s.352
    • /
    • pp.27-34
    • /
    • 2006
  • This paper has implemented a very small($1.4{\times}2.8[Cm^2]$) 13.56[MHz] RFID reader ensuring machine ID recognition correctly in a noise space of Tag-to-Reader within 3Cm. For operation of the RFID system, at first, this paper has designed the loop antenna of a reader and the fading model of back-scattering on microwave propagation following to 13.56[MHz] RFID Air Interface ISO/IEC specification. Secondly, this paper has proposed the automatically path selected RF switching circuit and the firmware operation relationship by measuring and analyzing the very small RFID RF issues. Finally, as a very small reader main body, this paper has shown the DSP board and software functions made for extraction of $1{\sim}2$ machine ID information and error prevention simultaneously with carrying of 13.56[MHz] RFID signals that the international standard specification ISO/IEC 18000-3 defined.

One-Dimensional Radar Scattering Center for Target Recognition of Ground Target in W-Band Millimeter Wave Seeker Considering Missile Flight-Path Scenario (유도탄 조우 시나리오를 고려한 W-대역 밀리미터파 탐색기의 지상 표적 식별을 위한 1차원 산란점 추출에 관한 연구)

  • Park, Sungho;Kim, Jihyun;Woo, Seon-Keol;Kwon, Jun-Beom;Kim, Hong-Rak
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.28 no.12
    • /
    • pp.982-992
    • /
    • 2017
  • In this paper, we introduce a method of selection for the optimal transmission polarization of a W-band seeker through the extraction of the one-dimensional scattering center of a ground tank target. We calculated the surface scattering and edge scattering using the shooting and bouncing ray tracing method of the CST A-solver. Based on 4-channel RCS data, using the one-dimensional RELAX algorithm, which is a kind of spectral estimation technique, scattering centers of ground targets were extracted. According to the changes in the polarization state and look angle, we compared and analyzed the scattering center results. Through simulation, we verified that the scattering center results can be applied when feature vectors are used for target recognition.

AUTOTRANSPLANTATION OF ECTOPICALLY ERUPTING MAXILLARY ANTERIOR TEETH (이소맹출하는 상악전치의 자가치아이식 치험례)

  • Son, Jeong-Min;Kim, Seon-Mi;Yang, Kyu-Ho;Choi, Nam-Ki
    • Journal of the korean academy of Pediatric Dentistry
    • /
    • v.33 no.4
    • /
    • pp.704-709
    • /
    • 2006
  • Ectopic eruption should be understood as a change in the course of the normal eruption path of a dental bud at any moment in its origin. Transposition is a unique and extreme form of ectopic eruption. The treatment for ectopic eruption and transposition is various from simple observation to surgical exposure and orthodontic traction, according to direction of erupting tooth degree of developing root apex and eruption space etc. Autotransplantation is transplantation of tooth from one area of the mouth to another in the same individual or is moving a eruption tooth into extraction socket or surgically prepared socket, and autotransplantation is considered as a treatment of choice for the ectopic eruption when orthodontic traction is unable or when tooth movement is limited. These cases which were treated with autotransplantation of maxillary lateral incisor and maxillary canine were reported, and good esthetic and functional result were induced.

  • PDF

Stable and Precise Multi-Lane Detection Algorithm Using Lidar in Challenging Highway Scenario (어려운 고속도로 환경에서 Lidar를 이용한 안정적이고 정확한 다중 차선 인식 알고리즘)

  • Lee, Hanseul;Seo, Seung-Woo
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.52 no.12
    • /
    • pp.158-164
    • /
    • 2015
  • Lane detection is one of the key parts among autonomous vehicle technologies because lane keeping and path planning are based on lane detection. Camera is used for lane detection but there are severe limitations such as narrow field of view and effect of illumination. On the other hands, Lidar sensor has the merits of having large field of view and being little influenced by illumination because it uses intensity information. Existing researches that use methods such as Hough transform, histogram hardly handle multiple lanes in the co-occuring situation of lanes and road marking. In this paper, we propose a method based on RANSAC and regularization which provides a stable and precise detection result in the co-occuring situation of lanes and road marking in highway scenarios. This is performed by precise lane point extraction using circular model RANSAC and regularization aided least square fitting. Through quantitative evaluation, we verify that the proposed algorithm is capable of multi lane detection with high accuracy in real-time on our own acquired road data.

3D Wave Propagation Loss Modeling in Mobile Communication using MLP's Function Approximation Capability (MLP의 함수근사화 능력을 이용한 이동통신 3차원 전파 손실 모델링)

  • Yang, Seo-Min;Lee, Hyeok-Jun
    • Journal of KIISE:Software and Applications
    • /
    • v.26 no.10
    • /
    • pp.1143-1155
    • /
    • 1999
  • 셀룰러 방식의 이동통신 시스템에서 전파의 유효신호 도달범위를 예측하기 위해서는 전파전파 모델을 이용한 예측기법이 주로 사용된다. 그러나, 전파과정에서 주변 지형지물에 의해 발생하는 전파손실은 매우 복잡한 비선형적인 특성을 가지며 수식으로는 정확한 표현이 불가능하다. 본 논문에서는 신경회로망의 함수 근사화 능력을 이용하여 전파손실 예측모델을 생성하는 방법을 제안한다. 즉, 전파손실을 송수신 안테나간의 거리, 송신안테나의 특성, 장애물 투과영향, 회절특성, 도로, 수면에 의한 영향 등과 같은 전파환경 변수들의 함수로 가정하고, 신경회로망 학습을 통하여 함수를 근사화한다. 전파환경 변수들이 신경회로망 입력으로 사용되기 위해서는 3차원 지형도와 벡터지도를 이용하여 전파의 반사, 회절, 산란 등의 물리적인 특성이 고려된 특징 추출을 통해 정량적인 수치들을 계산한다. 이와 같이 얻어진 훈련데이타를 이용한 신경회로망 학습을 통해 전파손실 모델을 완성한다. 이 모델을 이용하여 서울 도심 지역의 실제 서비스 환경에 대한 타 모델과의 비교실험결과를 통해 제안하는 모델의 우수성을 보인다.Abstract In cellular mobile communication systems, wave propagation models are used in most cases to predict cell coverage. The amount of propagation loss induced by the obstacles in the propagation path, however, is a highly non-linear function, which cannot be easily represented mathematically. In this paper, we introduce the method of producing propagation loss prediction models by function approximation using neural networks. In this method, we assume the propagation loss is a function of the relevant parameters such as the distance from the base station antenna, the specification of the transmitter antenna, obstacle profile, diffraction effect, road, and water effect. The values of these parameters are produced from the field measurement data, 3D digital terrain maps, and vector maps as its inputs by a feature extraction process, which takes into account the physical characteristics of electromagnetic waves such as reflection, diffraction and scattering. The values produced are used as the input to the neural network, which are then trained to become the propagation loss prediction model. In the experimental study, we obtain a considerable amount of improvement over COST-231 model in the prediction accuracy using this model.

TREATMENT OF PALATAL ABSCESS OF ODONTOGENIC ORIGIN IN CHILDREN: CASE REPORTS (소아에서 발생한 치성 기원 구개 농양의 치험례)

  • Ryu, Jae-Ryang;Kim, Young-Jin;Kim, Hyun-Jung;Nam, Soon-Hyeun
    • Journal of the korean academy of Pediatric Dentistry
    • /
    • v.38 no.4
    • /
    • pp.421-426
    • /
    • 2011
  • Most of the intraoral infections origin in odontogenic infection. Odontogenic infection spreads out along the least resistant path. In maxilla, the thickness between periapical area and cortical bone is narrower on the buccal side than the palatal side. So infection usually spreads out along the buccal side rather than the palatal side. The failure of root canal treatment more frequently occurs on the buccal root compared to the palatal root. So the palatal abscess is rarer than the buccal abscess. It is difficult to differential diagnosis palatal abscess from salivary gland tumors, benign neural tumors and cysts on the palate. Therefore, when the palatal swelling is observed in children, you need to prevent the systemic spread of infection by early diagnosis of the odontogenic palatal abscess. In these cases, the patient who complained of the pain in deciduous teeth and the palatal swelling was diagnosed with odontogenic palatal abscess. The patient was treated with extraction and antibiotic medication. The palatal abscess was resolved, and we report after treatments.

Effects of Annealing Atmosphere on the Characteristics of Tin Oxide Films Prepared by RF-magnetron Sputtering (RF-magnetron Sputtering법에 의해 제조된 SnO2 박막 특성에 대한 열처리 분위기 효과)

  • Choi, Gwang-Pyo;Park, Yong-Ju;Ryu, Hyun-Wook;Noh, Whyo-Sup;Kwon, Yong;Park, Jin-Seong
    • Journal of the Korean Ceramic Society
    • /
    • v.41 no.1
    • /
    • pp.36-40
    • /
    • 2004
  • $SnO_2$ thin films were deposited on a $SiO_2$/Si substrate with the flow of Ar and $O_2$ of 25 sccm by RF-magnetron sputtering method. the post-annealing was conducted at $500^{\circ}C$ in atmosphere of dry air and $N_2$ were changed fairly, while those annealed in dry air resembled as-deposited films. This may be attributed to the desorption of adsorbed oxygen and the extraction of lattice oxygen during annealing. Resistivity of films annealed in $N_2$ was increased over 5 times than that of as-deposited films. It can be explained that the increment of resistivity may result from the discontinuous conduction path with change of microstructures after annealing in $N_2$.

Association Analysis for Detecting Abnormal in Graph Database Environment (그래프 데이터베이스 환경에서 이상징후 탐지를 위한 연관 관계 분석 기법)

  • Jeong, Woo-Cheol;Jun, Moon-Seog;Choi, Do-Hyeon
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.8
    • /
    • pp.15-22
    • /
    • 2020
  • The 4th industrial revolution and the rapid change in the data environment revealed technical limitations in the existing relational database(RDB). As a new analysis method for unstructured data in all fields such as IDC/finance/insurance, interest in graph database(GDB) technology is increasing. The graph database is an efficient technique for expressing interlocked data and analyzing associations in a wide range of networks. This study extended the existing RDB to the GDB model and applied machine learning algorithms (pattern recognition, clustering, path distance, core extraction) to detect new abnormal signs. As a result of the performance analysis, it was confirmed that the performance of abnormal behavior(about 180 times or more) was greatly improved, and that it was possible to extract an abnormal symptom pattern after 5 steps that could not be analyzed by RDB.

A Study using Structural Equations on how the Role Stress of Administrative Workers in General Hospitals Affects Burnout, Job Satisfaction, and Organizational Commitment Analysis (구조방정식을 이용한 종합병원 행정직원의 역할스트레스가 소진, 직무만족 및 조직몰입에 미치는 영향분석)

  • Lee, Jeong-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.1
    • /
    • pp.622-628
    • /
    • 2016
  • The aim of this study was to clarify how the role stress of administrative workers in medical institutions affects burnout, job satisfaction, and organizational commitment. The study conducted surveys on administrative workers at ten general hospitals with more than 200 beds for one month between July 13 and August 18, 2015. The surveys then underwent factor analysis, average variation extraction, a suitability index of the research model, and a path-coefficient estimation analysis of the research model using AMOS 18.0. The main results revealed a positive (+) effect according to the role conflict and role excess on burnout, and a negative (-) effect of burnout on job satisfaction, while they displayed no significant relationship with organizational commitment. These results suggest that clear guidelines and unity in instructions are needed to reduce the role of stress in cooperative tasks between departments and that optimizing the roles of organization members by accurately measuring and weighing tasks can increase the attachment to the organization and ultimately improve the individual job performance.