scholarly journals Video-Based Vehicle Counting for Expressway: A Novel Approach Based on Vehicle Detection and Correlation-Matched Tracking Using Image Data from PTZ Cameras

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Qiao Meng ◽  
Huansheng Song ◽  
Yu’an Zhang ◽  
Xiangqing Zhang ◽  
Gang Li ◽  
...  
Keyword(s):  
Trajectory Optimization ◽  
Image Data ◽  
Least Square Method ◽  
Climatic Conditions ◽  
Least Square ◽  
Surveillance Systems ◽  
Counting Method ◽  
Novel Approach ◽  
Tracking Process ◽  
Direction Information

Vehicle counting plays a significant role in vehicle behavior analysis and traffic incident detection for established video surveillance systems on expressway. Since the existing sensor method and the traditional image processing method have the problems of difficulty in installation, high cost, and low precision, a novel vehicle counting method is proposed, which realizes efficient counting based on multivehicle detection and multivehicle tracking. For multivehicle detection tasks, a construction of the new expressway dataset consists of a large number of sample images with a high resolution (1920 × 1080) captured from real-world expressway scenes (including the diversity climatic conditions and visual angles) by Pan-Tilt-Zoom (PTZ) cameras, in which vehicle categories and annotation rules are defined. Moreover, a correlation-matched algorithm for multivehicle tracking is proposed, which solves the problem of occlusion and vehicle scale change in the tracking process. Due to the discontinuity and unsmooth of the trajectories that occurred during the tracking process, we designed a trajectory optimization algorithm based on least square method. Finally, a new vehicle counting method is designed based on the tracking results, in which the driving direction information of the vehicle is added in the counting process. The experimental results show that the proposed counting method in this research can achieve more than 93% accuracy and an average speed of 25 frames per second in expressway video sequence.

scholarly journals Grey power models based on optimization of initial condition and model parameters

2014 ◽  
Vol 4 (2) ◽  
pp. 370-382 ◽  
Author(s):  
Yunchol Jong ◽  
Sifeng Liu
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Model Parameters ◽  
Initial Condition ◽  
Content Type ◽  
Novel Approach ◽  
New Information ◽  
Power Models ◽  
Grey Verhulst Model ◽  
Verhulst Model

Purpose – The purpose of this paper is to propose a novel approach to improve prediction accuracy of grey power models including GM(1, 1) and grey Verhulst model. Design/methodology/approach – The modified new models are proposed by optimizing the initial condition and model parameters. The new initial condition consists of the first item and the last item of a sequence generated by applying the first-order accumulative generation operator on the sequence of raw data. Findings – It is shown that the newly modified grey power model is an extension of the previous optimized GM(1, 1) and grey Verhulst model. And the optimized initial condition reflected the principle of new information priority. Practical implications – The result of a numerical example indicates that the modified grey model presented in this paper with better prediction performance. Originality/value – The new initial condition are derived by weighted combination of the first item and the last item. The coefficients of weight obtained by the least square method.

scholarly journals EXPERIMENTAL RESEARCH OF DOUBLE-SIDED SOLAR MODULES EFFICIENCY IN THE CLIMATIC CONDITIONS OF CENTRAL KAZAKHSTAN

2018 ◽  
pp. 30-35
Author(s):  
Alexey Yurchenko ◽  
Vyacheslav Yugay ◽  
Elena Neshina
Keyword(s):  
Power Plant ◽  
Experimental Research ◽  
Solar Power ◽  
Least Square Method ◽  
Climatic Conditions ◽  
Least Square ◽  
Solar Power Plant ◽  
Solar Panels ◽  
Photovoltaic Modules ◽  
Correlation And Regression Analysis

The article presents studies of double-sided solar modules in Kazakhstan. To conduct an experimental research of double-sided solar modules efficiency in the climatic conditions of Central Kazakhstan we have created an experimental solar power plant (SPP) located on the territory of Karaganda State Technical University. The solar power plant consists of four photovoltaic modules of KZ PV 270 M72 type and four photovoltaic modules of FSM-185D type. The rotary system was not used; solar panels are southward (directed to the south). The comparison was made with the solar power plant without orientation system which uses four photovoltaic modules of KZ PV 270 M72 type produced by Astana Solar LLP. The statistical analysis of information with an assessment of parameters of distribution and criteria for processing of results of scientific experiment is carried out. The correlation and regression analysis is performed. The least square method (coefficient calculation) is used in data processing. We have developed the computational model simulating the SPP by means of which the theoretical averaged values of energy amount generated in kWh/day have been obtained, and the actual values have been received by in-use measurements of SPP parameters within a year. The results of this work showed that the use of double-sided solar modules in Kazakhstan is very promising and can be a decisive factor for their widespread use with the tendency to lower prices.

A Research on the Trajectory Optimization Method of Automatic Feeding Ship

2014 ◽  
Vol 615 ◽  
pp. 153-157
Author(s):  
Zhi Ying Zheng ◽  
De An Zhao ◽  
Yue Ping Sun ◽  
Jian Qing Hong ◽  
Hui Gui Liu
Keyword(s):  
Trajectory Optimization ◽  
Autonomous Navigation ◽  
Optimal Trajectory ◽  
Golden Section ◽  
Least Square Method ◽  
Optimization Method ◽  
Minimum Variance ◽  
Least Square ◽  
Golden Section Method ◽  
The Mathematical Model

This paper introduces an automatic feeding ship that applied in breeding crabs. For realizing autonomous navigation and making feed uniform on the surface of the aquaculture ponds, the GPS and automatic feeding machine are used on the ship. Bait scatters movement was analyzed by the method of physics and geometry which based on the structure and parameters of automatic feeding machine. For getting the mathematical model of bait distribution, the least square method is adopted to fit the experimental data. On this basis, the minimum variance of the bait thickness was selected as the objective function. An optimal trajectory was generated by using golden section method.

scholarly journals Detecting Signatures in Hyperspectral Image Data of Wounds: A Compound Model of Self- Organizing Map and Least Square Fitting

2018 ◽  
Vol 4 (1) ◽  
pp. 419-422
Author(s):  
Redwan Abdo A. Mohammed ◽  
Daniel Schäle ◽  
Christoph Hornberger ◽  
Steffen Emmert
Keyword(s):  
Neural Network ◽  
Hyperspectral Image ◽  
Image Data ◽  
Network Models ◽  
Least Square Method ◽  
Least Square ◽  
Self Organizing Map ◽  
Neural Network Models ◽  
Wound Tissue ◽  
Self Organizing

AbstractThe purpose of this study is to develop a method to discriminate spectral signatures in wound tissue. We have collected a training set of the intensity of the remitted light for different types of wound tissue from different patients using a TIVITA™ tissue camera. We used a neural network technique (self-organizing map) to group areas with the same spectral properties together. The results of this work indicates that neural network models are capable of finding clusters of closely related hyperspectral signatures in wound tissue, and thus can be used as a powerful tool to reach the anticipated classification. Moreover, we used a least square method to fit literature spectra (i.e. oxygenated haemoglobin (O2Hb), deoxygenated haemoglobin (HHb), water and fat) to the learned spectral classes. This procedure enables us to label each spectral class with the corresponding absorbance properties for the different absorbance of interest (i.e. O2Hb, HHb, water and fat). The calculated parameters of a testing set were consistent with the expected behaviour and show a good agreement with the results of a second algorithm which is used in the TIVITA™ tissue camera.

The SOC Estimation for Power Battery Using KF Method which Parameters are Updated by Least Square Method

2014 ◽  
Vol 694 ◽  
pp. 67-72 ◽  
Author(s):  
Ying Zhou Pang ◽  
Xing Yong Zhang ◽  
Jian Tao Tian
Keyword(s):  
Kalman Filter ◽  
Least Square Method ◽  
Least Square ◽  
Constant Current ◽  
Counting Method ◽  
Adaptive Kalman Filter ◽  
Soc Estimation ◽  
Battery Model ◽  
Power Battery ◽  
Fixed Parameter

In this article we first introduced some methods for estimating battery’s SOC and their advantages and shortcomings respectively. With experimental data, we proved that parameters of battery model are time variant. So fixed parameter Kalman Filter (FPKF) will not be suitable, then we came up with a new algorithm named adaptive Kalman Filter (APKF),which associated two algorithms—Kalman Filter and Least Square method. Kalman Filer estimates SOC of battery, while Least Square method updates parameters used in Kalman Filter. Then we used battery’s discharging data to test whether this new algorithm took effect. The results produced by Ah-counting method was viewed as a reference because of constant current discharging situation. According to the estimating results, the results produced by APKF have much smaller deviation than that produced by fixed parameters Kalman Filter (FPKF).

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

Sign in / Sign up

Export Citation Format

Share Document