• 제목/요약/키워드: comparison accuracy

검색결과 3,186건 처리시간 0.028초

Improved Method and Message Structure Design for TWSTFT without Extra Network

  • Juhyun Lee;Ju-Ik Oh;Young Kyu Lee;Sung-hoon Yang;Jong Koo Lee;Joon Hyo Rhee
    • Journal of Positioning, Navigation, and Timing
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    • 제12권2호
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    • pp.201-209
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    • 2023
  • Time comparison techniques are required for generating and keeping Coordinated Universal Time (UTC) and to distribute standard clocks. These techniques play an important role in various fields, including science, finance, military, and communication. Among these techniques, Two-Way Satellite Time and Frequency Transfer (TWSTFT) ensures a relatively high accuracy, with a time comparison accuracy at a nanosecond level. However, TWSTFT systems have some limitations, such as the dependency on extra network links. In this paper, we propose an improved method for TWSTFT system operation and design a message structure for the suggestion. Additionally, we estimate the data rate and redundancy for the new TWSTFT signal with the designed message structure.

Rotational Accuracy Measurement of Scroll Compressor with D-type Sectional Shaft

  • Park, Sang-Shin;Kim, Gyu-Ha;Lee, Jin-Kab
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 2002년도 proceedings of the second asia international conference on tribology
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    • pp.125-127
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    • 2002
  • This paper presents the measurement process of the rotational accuracy and the comparison with the theoretical results in the main bearing of scroll compressor. The main bearing is cylindrical oil proceeding bearing, but there are straightly cut used for oil supply. Therefore the roundness error is not a negligible quantity compared with the rotational accuracy. For this reason, three-point method is used in the experiment. The result of three-point method coincides with the theoretical value. So if the theory in this paper is used to the bearing design of scroll compressor, the efforts for testing and designing can be reduced.

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CFD를 이용한 초음속 유도탄 기저항력 예측 (BASE DRAG PREDICTION OF A SUPERSONIC MISSILE USING CFD)

  • 이복직
    • 한국전산유체공학회지
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    • 제11권3호
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    • pp.59-63
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    • 2006
  • Accurate prediction of a supersonic missile base drag continues to defy even well-rounded CFD codes. In an effort to address the accuracy and predictability of the base drags, the influence of grid system and competitive turbulence models on the base drag is analyzed. Characteristics of some turbulence models is reviewed through incompressible turbulent flow over a flat plate, and performance for the base drag prediction of several turbulence models such as Baldwin-Loman(B-L), Spalart-Allmaras(S-A), k-$\varepsilon$, k-$\omega$ model is assessed. When compressibility correction is injected into the S-A model, prediction accuracy of the base drag is enhanced. The NSWC wind tunnel test data are utilized for comparison of CFD and semi-empirical codes on the accuracy of base drag predictability: they are about equal, but CFD tends to perform better. It is also found that, as angle of attack of a missile with control fins increases, even the best CFD analysis tool we have lacks the accuracy needed for the base drag prediction.

Analysis of Multi-Differential GNSS Positioning Accuracy in Various Signal Reception Environments

  • Tae, Hyunu;Kim, Hye-In;Park, Kwan-Dong
    • Journal of Positioning, Navigation, and Timing
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    • 제7권1호
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    • pp.15-24
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    • 2018
  • This study analyzed positioning accuracy of the multi-differential global navigation satellite system (DGNSS) algorithm that integrated GPS, GLONASS, and BDS. Prior to the analysis, four sites of which satellite observation environment was different were selected, and satellite observation environments for each site were analyzed. The analysis results of the algorithm performance at each of the survey points showed that high positioning performance was obtained by using DGPS only without integration of satellite navigation systems in the open sky environment but the positioning performance of multi-DGNSS became higher as the satellite observation environments degraded. The comparison results of improved positioning performance of the multi-DGNSS at the poor reception environment compared to differential global positioning system (DGPS) positioning results showed that horizontal accuracy was improved by 78% and vertical accuracy was improved by 65% approximately.

방향탐지 정확도 개선을 위한 안테나 전면판 설계에 관한 연구 (A Study on the Antenna Front Plate Design for the Improvement of DF Accuracy)

  • 김인선;신임섭
    • 한국군사과학기술학회지
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    • 제14권4호
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    • pp.669-675
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    • 2011
  • In this paper, we present the AFP(antenna front plate)s which were designed to reduce the reflection for the sake of the improvement of DF(direction finding) accuracy. The AFP consists of front plate, absorber and radome. The AFPs were optimized respectively by real test and we performed the DF test using our AFPs in laboratory. The DF test shows that the DF accuracy is about 2 times better than the requirement capability. Then, the DF field test was executed using the AFPs, which were installed in helicopter in consideration of the reflection by platform. The result of the DF field test is superior to the requirement capability also, which shows the validity of our design method.

신경망 알고리즘을 이용한 아크 용접부 품질 예측 (Prediction of Arc Welding Quality through Artificial Neural Network)

  • 조정호
    • Journal of Welding and Joining
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    • 제31권3호
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    • pp.44-48
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    • 2013
  • Artificial neural network (ANN) model is applied to predict arc welding process window for automotive steel plate. Target weldment was various automotive steel plate combination with lap fillet joint. The accuracy of prediction was evaluated through comparison experimental result to ANN simulation. The effect of ANN variables on the accuracy is investigated such as number of hidden layers, perceptrons and transfer function type. A static back propagation model is established and tested. The result shows comparatively accurate predictability of the suggested ANN model. However, it restricts to use nonlinear transfer function instead of linear type and suggests only one single hidden layer rather than multiple ones to get better accuracy. In addition to this, obvious fact is affirmed again that the more perceptrons guarantee the better accuracy under the precondition that there are enough experimental database to train the neural network.

다중비교를 이용한 샘플수와 샘플링 시점수의 원샷 시스템 신뢰도 추정방법 정확성에 대한 영향 분석 (Effect Analysis of Sample Size and Sampling Periods on Accuracy of Reliability Estimation Methods for One-shot Systems using Multiple Comparisons)

  • 손영갑
    • 한국군사과학기술학회지
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    • 제15권4호
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    • pp.435-441
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    • 2012
  • This paper provides simulation-based results of effect analysis of sample size and sampling periods on accuracy of reliability estimation methods using multiple comparisons with analysis of variance. Sum of squared errors in estimated reliability measures were evaluated through applying seven estimation methods for one-shot systems to simulated quantal-response data. Analysis of variance was implemented to investigate change in these errors according to variations of sample size and sampling periods for each estimation method, and then the effect analysis on accuracy in reliability estimation was performed using multiple comparisons based on sample size and sampling periods. An efficient way to allocate both sample size and sampling periods for reliability estimation tests of one-shot systems is proposed in this paper from the effect analysis results.

IKONOS 위성 영상데이터로부터 도로정보의 판독과 그 정확도 분석 (Detection of Roads Information and the Accuracy Analysis from IKONOS Satellite Image Data)

  • 안기원;김상철;신석효
    • 한국측량학회지
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    • 제20권3호
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    • pp.235-242
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    • 2002
  • 고해상도의 IKONOS 위성 영상데이터로부터 도로 정보를 판독.추출하고 그 정확도를 분석하고자 하였다. RFM을 이용하여 기하보정영상을 생성한 후, 이 영상으로부터 도로를 판독하고 스크린디지타이징 하였다. 도로 판독 및 추출 정확도를 평가하기 위하여 도로 경계선의 위치와 도로 폭을 수치지도와 비교한 결과, 도로 경계선은 $\pm$3.4m, 도로의 폭은 $\pm$1.1m의 정확도로 추출되었다.

Image Semantic Segmentation Using Improved ENet Network

  • Dong, Chaoxian
    • Journal of Information Processing Systems
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    • 제17권5호
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    • pp.892-904
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    • 2021
  • An image semantic segmentation model is proposed based on improved ENet network in order to achieve the low accuracy of image semantic segmentation in complex environment. Firstly, this paper performs pruning and convolution optimization operations on the ENet network. That is, the network structure is reasonably adjusted for better results in image segmentation by reducing the convolution operation in the decoder and proposing the bottleneck convolution structure. Squeeze-and-excitation (SE) module is then integrated into the optimized ENet network. Small-scale targets see improvement in segmentation accuracy via automatic learning of the importance of each feature channel. Finally, the experiment was verified on the public dataset. This method outperforms the existing comparison methods in mean pixel accuracy (MPA) and mean intersection over union (MIOU) values. And in a short running time, the accuracy of the segmentation and the efficiency of the operation are guaranteed.