scholarly journals Minimal Detectable Displacement Achievable by GPS-RTK in CZEPOS Network

2015 ◽  
Vol 14 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Martin Raška ◽  
Jiří Pospíšil
Keyword(s):  
Real Time ◽  
Point Position ◽  
Testing Methodology ◽  
Positional Change ◽  
Network Rtk ◽  
Short Period ◽  
Gps Rtk ◽  
Position Precision

In this paper we have made a brief study of RTK precision to estimate possibilities of network RTK using CZEPOS for purposes of geotechnic monitoring of landslides in real time. In this paper we describe a testing methodology, which resulted in estimation of point-position precision and describing minimal detectable positional change. Based on our results it is concluded that displacements could be detected with centimetre accuracy even with short-period observations.

scholarly journals Aplikasi GPS RTK untuk Pemetaan Bidang Tanah

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Joko Setiadi
Keyword(s):  
Real Time ◽  
Field Measurements ◽  
Process Efficiency ◽  
Gps Receiver ◽  
Point Position ◽  
Advantages And Disadvantages ◽  
Real Time Kinematic ◽  
Gps Rtk ◽  
Point Positioning ◽  
Rtk Gps

Abstrak Penggunaan receiver GPS RTK (Real Time Kinematic) pada metode ekstraterestrial untuk penentuan posisi titik saat ini sudah banyak diterapkan. Penelitian ini bertujuan mengkaji sampai sejauh mana ketelitian posisi titik yang diperoleh dari hasil pengukuran secara ekstraterestrial menggunakan GPS RTK untuk pemetaan bidang-bidang tanah berikut kekurangan dan kelebihannya. Dari hasil pengukuran didapat ketelitian rata-rata hasil pengukuran posisi titik menggunakan GPS RTK dibandingkan dengan menggunakan alat ETS (Electronic Total Station) adalah sebesar 0,214 m sehingga dapat diterapkan untuk pembuatan peta skala 1 : 500. Untuk daerah yang terbuka, pengukuran bidang tanah menggunakan GPS RTK memerlukan waktu dua kali lebih cepat dibandingkan dengan ETS. Walaupun GPS RTK mempunyai keunggulan dalam hal efisiensi proses pengukuran di lapangan sehingga dapat mempersingkat waktu pengukuran, akan tetapi memiliki kekurangan dalam hal ketelitian data terutama pada area pengukuran yang tertutup. Kata kunci: GPS RTK, ETS, posisi titik, ekstraterestrial.   Abstract The use of RTK GPS receiver (Real Time Kinematic) on extraterrestrial method for point positioning h widely applied. The purpose of this study is to examine the point position accuracy obtained from the measurements using GPS RTK for extraterrestrial mapping plots, including its advantages and disadvantages. Measurement accuracy of the results obtained from the average measurement point positioning using GPS RTK compared using the ETS tool is equal to 0.214 m, so that it can be applied for map making of scale 1: 500. For open areas, field measurements using GPS RTK can be performed by two times faster than using ETS. Although GPS RTK has advantages in terms of measurements process efficiency in the field so as to shorten the time of measurement, but has shortcomings in terms of accuracy of the data, especially in an enclosed area measuring. Keywords: GPS RTK , ETS, point position, extraterrestrial.

An automatic seismic signal detection algorithm based on the Walsh transform

1981 ◽  
Vol 71 (4) ◽  
pp. 1351-1360
Author(s):  
Tom Goforth ◽  
Eugene Herrin
Keyword(s):  
Signal Detection ◽  
Real Time ◽  
Seismic Signal ◽  
Detection Algorithm ◽  
Machine Language ◽  
Walsh Transform ◽  
Time Signal ◽  
Data Systems ◽  
Detection Capability ◽  
Short Period

abstract An automatic seismic signal detection algorithm based on the Walsh transform has been developed for short-period data sampled at 20 samples/sec. Since the amplitude of Walsh function is either +1 or −1, the Walsh transform can be accomplished in a computer with a series of shifts and fixed-point additions. The savings in computation time makes it possible to compute the Walsh transform and to perform prewhitening and band-pass filtering in the Walsh domain with a microcomputer for use in real-time signal detection. The algorithm was initially programmed in FORTRAN on a Raytheon Data Systems 500 minicomputer. Tests utilizing seismic data recorded in Dallas, Albuquerque, and Norway indicate that the algorithm has a detection capability comparable to a human analyst. Programming of the detection algorithm in machine language on a Z80 microprocessor-based computer has been accomplished; run time on the microcomputer is approximately 110 real time. The detection capability of the Z80 version of the algorithm is not degraded relative to the FORTRAN version.

scholarly journals Examining the Accuracy of Network RTK and Long Base RTK Methods with Repetitive Measurements

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Tamer Baybura ◽  
İbrahim Tiryakioğlu ◽  
Mehmet Ali Uğur ◽  
Halil İbrahim Solak ◽  
Şeyma Şafak
Keyword(s):  
Real Time ◽  
Precise Point Positioning ◽  
High Accuracy ◽  
Base Station ◽  
Network Rtk ◽  
Real Time Kinematic ◽  
Study Results ◽  
Point Positioning

Real-time kinematic (RTK) technique is important for mapping applications requiring short measure time, the distance between rover and base station, and high accuracy. There are several RTK methods used today such as the traditional RTK, long base RTK (LBRTK), network RTK (NRTK), and precise point positioning RTK (PPP-RTK). NRTK and LBRTK are popular with the advantage of the distance, the time, and accuracy. In the present study, the NRTK and LBRTK measurements were compared in terms of accuracy and distance in a test network with 6 sites that was established between 5 and 60 km. Repetitive NRTK and LBRTK measurements were performed on 6 different days in 2015-2017-2018 and additionally 4 campaigns of repetitive static measurements were carried out in this test network. The results of NRTK and LBRTK methods were examined and compared with all relevant aspects by considering the results of the static measurements as real coordinates. The study results showed that the LBRTK and NRTK methods yielded similar results at base lengths up to 40 km with the differences less than 3 cm horizontally and 4 cm vertically.

scholarly journals Traffic Flow Prediction with Relevance Vector Machine

2021 ◽  
Author(s):  
W.-Z. Xiong ◽  
X.-M. Shen ◽  
H.-J. Li ◽  
Z. Shen
Keyword(s):  
Prediction Model ◽  
Real Time ◽  
Traffic Flow ◽  
Sequence Data ◽  
Machine Method ◽  
Traffic Flow Prediction ◽  
Correlation Vector ◽  
Model Based ◽  
Flow Prediction ◽  
Short Period

Abstract Real-time prediction of traffic flow values in a short period of time is an importantelement in building a traffic management system. The uncertainty, complexity andnonlinearity of traffic flow data make it difficult to predict traffic flow in real time,and the accurate traffic flow prediction has been an urgent problem in the industry.Based on the research of scholars, a traffic flow prediction model based on thecorrelation vector machine method is constructed. The prediction accuracy of thecorrelation vector machine is better than that of the logistic regression and supportvector machine methods, and the correlation vector machine method has the functionof generating prediction error range for the actual traffic sequence data. Theprediction results are very satisfactory, and the prediction speed is significantlyfaster than the other two models, which meets the requirement of real-time trafficflow prediction and is suitable for real-time online prediction, and the predictionaccuracy of the used method is relatively high. The three-way comparison analysisshows that the traffic flow prediction by the correlation vector machine methodcan describe the nonlinear characteristics of traffic flow change more accurately,and the model performance and real-time performance are better. The case studyshows that the traffic flow prediction model based on the correlation vector machinecan improve the speed and accuracy of prediction, which is very suitablefor traffic flow prediction estimation with real-time requirements, and provides ascientific method for real-time traffic flow measurement.

scholarly journals Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera

2020 ◽  
Vol 12 (9) ◽  
pp. 1382 ◽  
Author(s):  
Joaquín Alonso-Montesinos
Keyword(s):  
Real Time ◽  
Energy Production ◽  
Production Management ◽  
Detection System ◽  
Low Cost ◽  
Color Spaces ◽  
Cloud Detection ◽  
Precise Control ◽  
Short Period ◽  
Sky Conditions

Characterizing the atmosphere is one of the most complex studies one can undertake due to the non-linearity and phenomenological variability. Clouds are also among the most variable atmospheric constituents, changing their size and shape over a short period of time. There are several sectors in which the study of cloudiness is of vital importance. In the renewable field, the increasing development of solar technology and the emerging trend for constructing and operating solar plants across the earth’s surface requires very precise control systems that provide optimal energy production management. Similarly, airports are hubs where cloud coverage is required to provide high-precision periodic observations that inform airport operators about the state of the atmosphere. This work presents an autonomous cloud detection system, in real time, based on the digital image processing of a low-cost sky camera. An algorithm was developed to identify the clouds in the whole image using the relationships established between the channels of the RGB and Hue, Saturation, Value (HSV) color spaces. The system’s overall success rate is approximately 94% for all types of sky conditions; this is a novel development which makes it possible to identify clouds from a ground perspective without the use of radiometric parameters.

scholarly journals Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy

2014 ◽  
Vol 18 (10) ◽  
pp. 3923-3936 ◽  
Author(s):  
X. Xie ◽  
S. Meng ◽  
S. Liang ◽  
Y. Yao
Keyword(s):  
Real Time ◽  
Land Surface ◽  
Hydrological Model ◽  
Similarity Measures ◽  
State Parameter ◽  
Model Parameters ◽  
Prediction Errors ◽  
Distributed Hydrological Model ◽  
Streamflow Prediction ◽  
Short Period

Abstract. The challenge of streamflow predictions at ungauged locations is primarily attributed to various uncertainties in hydrological modelling. Many studies have been devoted to addressing this issue. The similarity regionalization approach, a commonly used strategy, is usually limited by subjective selection of similarity measures. This paper presents an application of a partitioned update scheme based on the ensemble Kalman filter (EnKF) to reduce the prediction uncertainties. This scheme performs real-time updating for states and parameters of a distributed hydrological model by assimilating gauged streamflow. The streamflow predictions are constrained by the physical rainfall-runoff processes defined in the distributed hydrological model and by the correlation information transferred from gauged to ungauged basins. This scheme is successfully demonstrated in a nested basin with real-world hydrological data where the subbasins have immediate upstream and downstream neighbours. The results suggest that the assimilated observed data from downstream neighbours have more important roles in reducing the streamflow prediction errors at ungauged locations. The real-time updated model parameters remain stable with reasonable spreads after short-period assimilation, while their estimation trajectories have slow variations, which may be attributable to climate and land surface changes. Although this real-time updating scheme is intended for streamflow predictions in nested basins, it can be a valuable tool in separate basins to improve hydrological predictions by assimilating multi-source data sets, including ground-based and remote-sensing observations.

An Effective Solution to Improve GPS Position Precision

2013 ◽  
Vol 333-335 ◽  
pp. 86-89
Author(s):  
Guo Yi Xue ◽  
Pei Guo Liu ◽  
Shao Shi Yan
Keyword(s):  
Real Time ◽  
Effective Solution ◽  
Precision Positioning ◽  
Short Term ◽  
Positioning Precision ◽  
Static Test ◽  
Computational Load ◽  
Position Data ◽  
Position Precision ◽  
Sudden Jump

The sudden jump in position data will limit the application of single GPS in precision positioning field. In this paper, a simple real-time method to remove GPS position jump was presented. The result of the static test and kinematical test show that the method was effective on removing the position jump and highlight the short-term positioning precision of single GPS. Besides, it has little computational load and easy to be implemented real time.

GPS RTK Techniques for Construction Monitoring of Super Deep-Water Open-Caisson

2014 ◽  
Vol 580-583 ◽  
pp. 2865-2871
Author(s):  
Yan Guang Hao ◽  
Xiang Liang Liu ◽  
Jian Bo Liu
Keyword(s):  
Real Time ◽  
Deep Water ◽  
Yangtze River ◽  
Positioning System ◽  
Construction Monitoring ◽  
Construction Period ◽  
Gps Rtk

The super open-caisson foundation of Taizhou Yangtze River Bridge was used by positioning system of anchor piers. GPS RTK Techniques was used to real-time monitor the open-caisson and by software compute current geometric posture of open-caisson timely. This could provide guarantee for sinking of caisson, and shorten construction period and save cost.

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