The Study on Wireless Location Based on SQlite Database and ZigBee Technology

Applying SQlite database and ZigBee technology to the development of the smart supermarket shopping guide system and by prompting customers the target area and locating the real-time position of them, this paper solves the problem that customers can't find target goods quickly in large supermarkets. When customers want to search target goods quickly, firstly the monitor terminal installed in a shopping cart queries SQlite database table to obtain the position of the target area and display it on the electronic map, then it locates the real-time position of customers by ZigBee wireless network and refreshes coordinates of customers constantly. According to the electronic map, customers can go to the target area quickly and find the target goods easier.

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Current Trends in Random Walks on Random Lattices

Mathematics ◽

10.3390/math9101148 ◽

2021 ◽

Vol 9 (10) ◽

pp. 1148

Author(s):

Jewgeni H. Dshalalow ◽

Ryan T. White

Keyword(s):

Random Walk ◽

Random Walks ◽

Real Time ◽

Real Space ◽

Historical Background ◽

Escape Time ◽

The Real ◽

Current Trends ◽

One Step ◽

Time Position

In a classical random walk model, a walker moves through a deterministic d-dimensional integer lattice in one step at a time, without drifting in any direction. In a more advanced setting, a walker randomly moves over a randomly configured (non equidistant) lattice jumping a random number of steps. In some further variants, there is a limited access walker’s moves. That is, the walker’s movements are not available in real time. Instead, the observations are limited to some random epochs resulting in a delayed information about the real-time position of the walker, its escape time, and location outside a bounded subset of the real space. In this case we target the virtual first passage (or escape) time. Thus, unlike standard random walk problems, rather than crossing the boundary, we deal with the walker’s escape location arbitrarily distant from the boundary. In this paper, we give a short historical background on random walk, discuss various directions in the development of random walk theory, and survey most of our results obtained in the last 25–30 years, including the very recent ones dated 2020–21. Among different applications of such random walks, we discuss stock markets, stochastic networks, games, and queueing.

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Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework

Complexity ◽

10.1155/2020/2435793 ◽

2020 ◽

Vol 2020 ◽

pp. 1-17

Author(s):

Yongchao Song ◽

Jieru Yao ◽

Yongfeng Ju ◽

Yahong Jiang ◽

Kai Du

Keyword(s):

Real Time ◽

Pedestrian Detection ◽

Minimum Energy ◽

Automatic Detection ◽

Initial Contour ◽

Target Area ◽

Threshold Method ◽

The Real ◽

The Road ◽

On The Road

In order to solve the problems of traffic object detection, fuzzification, and simplification in real traffic environment, an automatic detection and classification algorithm for roads, vehicles, and pedestrians with multiple traffic objects under the same framework is proposed. We construct the final V view through a considerate U-V view method, which determines the location of the horizon and the initial contour of the road. Road detection results are obtained through error label reclassification, omitting point reassignment, and so an. We propose a peripheral envelope algorithm to determine sources of vehicles and pedestrians on the road. The initial segmentation results are determined by the regional growth of the source point through the minimum neighbor similarity algorithm. Vehicle detection results on the road are confirmed by combining disparity and color energy minimum algorithms with the object window aspect ratio threshold method. A method of multifeature fusion is presented to obtain the pedestrian target area, and the pedestrian detection results on the road are accurately segmented by combining the disparity neighbor similarity and the minimum energy algorithm. The algorithm is tested in three datasets of Enpeda, KITTI, and Daimler; then, the corresponding results prove the efficiency and accuracy of the proposed approach. Meanwhile, the real-time analysis of the algorithm is performed, and the average time efficiency is 13 pfs, which can realize the real-time performance of the detection process.

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SU-FF-T-77: Accuracy of Gated IMRT Delivery On the Varian Linac Using the Real-Time Position Management System

Medical Physics ◽

10.1118/1.2241003 ◽

2006 ◽

Vol 33 (6Part7) ◽

pp. 2066-2066

Author(s):

A Hsu ◽

B Thorndyke ◽

T Pawlicki ◽

L Xing

Keyword(s):

Real Time ◽

Management System ◽

The Real ◽

Time Position ◽

Position Management

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Real-Time Data Filling and Automatic Retrieval Algorithm of Road Traffic Based on Deep-Learning Method

Symmetry ◽

10.3390/sym13010001 ◽

2020 ◽

Vol 13 (1) ◽

pp. 1

Author(s):

Jie Zhu ◽

Weixiang Xu

Keyword(s):

Deep Learning ◽

Real Time ◽

Road Traffic ◽

Retrieval Algorithm ◽

Target Area ◽

Learning Method ◽

Time Data ◽

The Real ◽

Automatic Retrieval ◽

Real Time Data

In order to enhance the real-time and retrieval performance of road traffic data filling, a real-time data filling and automatic retrieval algorithm based on the deep-learning method is proposed. In image detection, the depth representation is extracted according to the detection target area of a general object. The local invariant feature is extracted to describe local attributes in the region, and it is fused with depth representation to complete the real-time data filling of road traffic. According to the results of the database enhancement, the retrieval results of the deep representation level are reordered. In the index stage, unsupervised feature updating is realized by neighborhood information to improve the performance of a feature retrieval. The experimental results show that the proposed method has high recall and precision, a short retrieval time and a low running cost.

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Research of Hanging Rail Car Network Control

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.229-231.2174 ◽

2012 ◽

Vol 229-231 ◽

pp. 2174-2177

Author(s):

Ke Xiao ◽

Hu Li ◽

Jing Zhong Wang

Keyword(s):

Real Time ◽

Remote Monitoring ◽

Network Control ◽

Moving Vehicle ◽

Electronic Map ◽

The Real ◽

Vehicle Monitoring ◽

Timely Response

A vehicle monitoring and dispatching system based on GPS and GPRS technologies is designed in this paper. This system communicate with server, upload GPS information and timely response to the various instructions issued from server through the Socket, and the position of moving vehicle is shown in the electronic map in the monitor center. Various control instructions issued by the server to achieve the remote monitoring of the vehicle, the real-time controlling of the multbvehicle system is achieved.

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