• 제목/요약/키워드: LOS prediction model

검색결과 37건 처리시간 0.024초

도심지 마이크로셀의 LOS 전파특성 예측을 위한 경로수의 확장법 (A method of extending the number of ray paths to predict the characteristics of LOS propagation in an urban microcell)

  • 김채영;정백호;박지연;목진담
    • 전자공학회논문지A
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    • 제33A권2호
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    • pp.15-22
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    • 1996
  • This paper presents the generalized method of the prediction of the LOS propagating characteristics in an urban microcell by using theray tracing technique. Whereas the received power is calculated by the finite number of pths, 4~10, on an urban steet, the RMS delay spread is comuted by using the sufficient rays of convergence. To take into account the infinite number of paths the technique of the numbering scheme of image antennas was presented by using the rectangular pulse. As to this the existing restriction of the finitte number of paths was relaxed. based on the method of extending the number of paths and the canyon model the received power and RMS delay spread are computed and their differences according to the number of paths are compared at the frequencies of both 1GHz and 2GHz, respectively.

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Solid State Sintering of Micrometric and Nanometric WC-Co Powders

  • Escobar, J.A.;Campo, F.A.;Serrano, C.H.
    • 한국분말야금학회:학술대회논문집
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    • 한국분말야금학회 2006년도 Extended Abstracts of 2006 POWDER METALLURGY World Congress Part 1
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    • pp.350-351
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    • 2006
  • A solid stage sinterizacion model of the WC-Co is applied on this work. These results are compaired with the experimental data obtained for nanometric and micrometric sinter powder in an electric furnace and micrometric in a plasma reactor (using Abnormal Glow Discharge AGD). The correlations obtained allow the prediction of the sintering behavior in AGD for nanometric powder. The activation of the solid state sintering is shown with the decraease of the WC size and the use of AGD

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고속도로 화물차 교통사고 건수 예측모형 및 안전등급 개발 연구 (Study on the Development of Truck Traffic Accident Prediction Models and Safety Rating on Expressways)

  • 윤정은;정하림;박장호;강동효;윤일수
    • 한국ITS학회 논문지
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    • 제22권1호
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    • pp.1-15
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    • 2023
  • 본 연구에서는 전국 고속도로를 대상으로 화물차 교통사고에 영향을 미치는 주요 요인을 파악하고자 한다. 이를 위해, 고속도로 교통사고 자료들과 포아송 및 음이항 회귀모형을 이용하여 화물차 교통사고 건수 예측모형을 개발하였다. 모형에서 유의한 것으로 확인된 변수는 화물차 연속주행시간지수, 구간연장, 화물차 교통량, 구간내 교량 수, 졸음쉼터 개수이다. 또한, 구축된 예측모형을 이용하여 고속도로 구간별 안전등급(level of service of safety, LOSS)을 도출하였다. 이후 LOSS를 전국 고속도로 네트워크에 표출하여 고속도로 구간별 화물차 교통사고 위험도를 진단하였다. 본 연구에서 개발된 모형과 LOSS는 고속도로에서의 화물차 교통사고 저감을 위한 정책수립의 기초자료로 활용될 것으로 기대된다.

한국 지형에서의 무선호출 주파수 대역의 전계강도 예측모델 (The Path Loss Prediction in Korean Terrain Environment)

  • 이형수;조삼모
    • 한국전자파학회논문지
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    • 제7권3호
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    • pp.219-229
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    • 1996
  • 육상 이동통신의 서비스 범위 예측에 가장 기본이 되는 전송 손실 계산 방식은 그 적용범위 및 모델도출 방법에 따라 많은 발전을 거듭하여 왔다. 그러나, 전파는 이것이 지나가는 환경, 즉 빌딩의 특성이나, 나무, 그리고 지형형태 등에 의해 너무나 많은 영향을 받으므로 미국,일본 동 외국의 환경에서 만들어져 국내에 도입된 전파 예측모델들은 우리나라의 실정에 적합하지 않는 점이 많다. 본 논문에서는 국내 지형을 분석하여 그 특성에 따라 여섯가지의 종류로 분류하고 각각에 해당하는 국내 지역을 선정하여 무선호출 주파수 대역에서 전계강도 측정을 수행하였다. 또한, 이 측정 데이타를 이용한 실험식과 함께 산악지역에서의 회절 계산식을 포함하여 가시거리 및 비가시거리를 구분하여 전계강도를 계산하는 예측모델을 만들었다. 제안된 모델을 국내 지형 데이타 베이스와 연결하여 전계강도 예측을 수행한 값과 실측된 데이타와 비교한 결과, 최소 3dB에서 최고 9dB 정도로 오차가 나타났으므로 실용성이 있을 것으로 판단된다.

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2차로도로 평균 통행속도-총지체율-교통량 관계 곡선 재정립 (Relationships Between Average Travel Speed, Time-Delayed Rate, and Volume on Two-lane Highways with Simulation Data)

  • 문재필;김용석
    • 한국도로학회논문집
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    • 제14권6호
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    • pp.131-138
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    • 2012
  • PURPOSES : Two-lane highways have one lane in each direction, and lane changing and passing maneuvers take place in the opposing lane depending on the availability of passing sight distance. 2001 Korea Highway Capacity Manual (KHCM) is classified into two classes of two-lane highways (Type I, II), and average travel speed and time-delayed rate are used as measures of effectiveness (MOEs). However, since existing two-lane highways have both uninterrupted and interrupted traffic flow-system elements, a variety of free-flow speeds exhibits in two-lane highways. In addition, it is necessary to check if the linear-relationship between volumes and time-delayed rate is appropriate. Then, this study is to reestablish the relationship between average travel speed, time-delayed rate, and flow. METHODS : TWOPAS model was selected to conduct this study, and the free-flow speeds of passenger cars and the percentage of following vehicles observed in two-lane highways were applied to the model as the input. The revised relationships were developed from the computer simulation. RESULTS : In the revised average travel speed vs. flow relationship, the free-flow speed of 90km/h and 70km/h were added. It shows that the relationship between time delayed-rate and flow appeared to be appropriate with the log-function form and that there was no difference in time-delayed rate between the free flow speeds. In addition to revise the relationships, the speed prediction model and the time-delayed rate prediction model were also developed. CONCLUSIONS : The revised relationships between average travel speed, time-delayed rate, and flow would be useful in estimating the Level of Service(LOS) of a two-lane highway.

Traditional Software Development for WLAN Propagation Model

  • Ibrahim Anwar Hassan;Ismail Mahamod;Jumari Kasmiran;Kiong Tiong Sieh
    • Journal of Electrical Engineering and Technology
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    • 제2권1호
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    • pp.123-128
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    • 2007
  • SPWPM traditional software development is surveyed and essential problems are investigated on the basis of system wireless link considerations. This paper presents the current state software planning tools for wireless LAN link optimization. The software directory is based on combination of MatLab and MapInfo software and measurement which gives the best grouping parameters to build up the software development. Among the requirements assumed, the WLAN site selections must be Line-of-sight (LOS) or near line of sight (NLOS) field strength prediction for either point to point or point to multi points. The results obtainable the out put of the program include two-dimensional (2D) and three dimensional (3D) plots for creating the link; design parameters through GUI representing the height and location for each antenna is depending on K-factor of the area and transmit antenna location.

Selecting the Best Prediction Model for Readmission

  • Lee, Eun-Whan
    • Journal of Preventive Medicine and Public Health
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    • 제45권4호
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    • pp.259-266
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    • 2012
  • Objectives: This study aims to determine the risk factors predicting rehospitalization by comparing three models and selecting the most successful model. Methods: In order to predict the risk of rehospitalization within 28 days after discharge, 11 951 inpatients were recruited into this study between January and December 2009. Predictive models were constructed with three methods, logistic regression analysis, a decision tree, and a neural network, and the models were compared and evaluated in light of their misclassification rate, root asymptotic standard error, lift chart, and receiver operating characteristic curve. Results: The decision tree was selected as the final model. The risk of rehospitalization was higher when the length of stay (LOS) was less than 2 days, route of admission was through the out-patient department (OPD), medical department was in internal medicine, 10th revision of the International Classification of Diseases code was neoplasm, LOS was relatively shorter, and the frequency of OPD visit was greater. Conclusions: When a patient is to be discharged within 2 days, the appropriateness of discharge should be considered, with special concern of undiscovered complications and co-morbidities. In particular, if the patient is admitted through the OPD, any suspected disease should be appropriately examined and prompt outcomes of tests should be secured. Moreover, for patients of internal medicine practitioners, co-morbidity and complications caused by chronic illness should be given greater attention.

신경망과 의사결정 나무를 이용한 충수돌기염 환자의 재원일수 예측모형 개발 (Length-of-Stay Prediction Model of Appendicitis using Artificial Neural Networks and Decision Tree)

  • 정석훈;한우석;서용무;이현실
    • 한국산학기술학회논문지
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    • 제10권6호
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    • pp.1424-1432
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    • 2009
  • 충수돌기염 환자의 LoS(Length of Stay)를 예측하는 것은 병상의 운영에 적지 않은 영향을 준다. 본 논문에서는 Neural Networks와 Decision Tree를 이용하여 LoS와 연관이 높은 입력변수들을 찾아 그 의미를 분석하며, 찾아낸 입력변수들을 이용하여 다양한 LoS 예측 모형을 개발하고 그 성능을 비교하였다. 모형의 예측 정확성을 높이기 위하여 Bagging과 Boosting 등의 Ensemble 기법도 적용하였다. 실험 결과, Decision Tree 모형이 Neural Networks 모형보다 좀 더 적은 수의 속성을 가지고도 거의 통일한 예측력을 보였으며, Ensemble 기법 중에서는 Bagging 기법이 Boosting 기법보다 좋은 결과를 보여주었다. 의사결정나무 기법은 Neural Networks 기법에 비해 설명력이 있으며, 충수돌기염의 LoS 예측에 매우 효과적이었고, 중요 입력 변수의 선정에도 좋은 결과를 보여줌에 따라 향후 적극적인 기법의 도입이 필요하다고 할 수 있다.

Damage state evaluation of experimental and simulated bolted joints using chaotic ultrasonic waves

  • Fasel, T.R.;Kennel, M.B.;Todd, M.D.;Clayton, E.H.;Park, G.
    • Smart Structures and Systems
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    • 제5권4호
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    • pp.329-344
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    • 2009
  • Ultrasonic chaotic excitations combined with sensor prediction algorithms have shown the ability to identify incipient damage (loss of preload) in a bolted joint. In this study we examine a physical experiment on a single-bolt aluminum lap joint as well as a three-dimensional physics-based simulation designed to model the behavior of guided ultrasonic waves through a similarly configured joint. A multiple bolt frame structure is also experimentally examined. In the physical experiment each signal is imparted to the structure through a macro-fiber composite (MFC) patch on one side of the lap joint and sensed using an equivalent MFC patch on the opposite side of the joint. The model applies the waveform via direct nodal displacement and 'senses' the resulting displacement using an average of the nodal strain over an area equivalent to the MFC patch. A novel statistical classification feature is developed from information theory concepts of cross-prediction and interdependence. This damage detection algorithm is used to evaluate multiple damage levels and locations.