Study on Plant Oxygen Generating and Oxygen Concentration Detection Technology for Plateau

2013 ◽  
Vol 726-731 ◽  
pp. 967-970
Author(s):  
Wei Jun Wang ◽  
Peng Wei Wang
Keyword(s):  
Real Time ◽  
Oxygen Concentration ◽  
Detection System ◽  
High Accuracy ◽  
Concentration Data ◽  
Oxygen Generator ◽  
The People ◽  
Detection Technology ◽  
Generating System ◽  
Time Acquisition

In order to solve the hypoxia problem of the people living in plateau, this article took plants oxygen generating to supply oxygen-enrich air for them based on the research of the main oxygen generator method, and designed plant oxygen generating system and the oxygen concentration detection system. Practice has proved that the plant oxygen generating system can provide the oxygen-enriched air and the oxygen concentration detecting system can get the real-time acquisition of oxygen concentration data quickly and high accuracy.

Wireless Real-Time Telemetry Automatic System for Monitoring the Settlement of Structure and its Application

2012 ◽  
Vol 468-471 ◽  
pp. 1110-1113
Author(s):  
Guo Liang Zhang ◽  
Xue Min Zhang ◽  
Jie Li ◽  
Shu Ying Wang
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Automatic System ◽  
Intelligent System ◽  
High Accuracy ◽  
Normal Operation ◽  
Data Processing Software ◽  
Displacement Sensors ◽  
Processing Software ◽  
Time Acquisition

An intelligent system, which is real-time, remote, and automatic for monitoring the settlement of surface subsidence or building, was developed based on the principle of communicating vessels. The Hydrostatic leveling, displacement sensors, data acquisition and transmission, 3G wireless communications module, computer terminals, and data processing software were integrated in the system, which has the following functions: monitoring data real-time acquisition and transmission, automatic calculation and analysis of the settlement, and early warning by remote wireless mode. The system has been successfully applied in the Minzhi station project of Shenzhen Metro Line 5 to ensure the normal operation of existing railway. Meanwhile, the high accuracy and reliability of the system are also verified by the engineering applications. It can be applied to monitor the settlement of similar projects.

scholarly journals Sliding wire detection system of electric lock screw tool based on motor characteristics

2021 ◽  
Vol 2137 (1) ◽  
pp. 012009
Author(s):  
Ning Zhang ◽  
Yinxin Yan ◽  
Houcheng Yang ◽  
Zhangsi Yu
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
High Sensitivity ◽  
High Accuracy ◽  
Normal Operation ◽  
Automatic Assembly ◽  
The Real ◽  
Current Change ◽  
Real Time Detection

Abstract This paper presents a sliding wire detection system of electric screw locking tool based on the characteristics of motor. The system can judge whether the screw has sliding wire through the current change of motor during normal operation, and realize the real-time detection and alarm of sliding wire. The system has the advantages of high sensitivity, low cost and high accuracy. It can be widely used in automatic assembly and other fields.

scholarly journals Development of a Real-Time, Simple and High-Accuracy Fall Detection System for Elderly Using 3-DOF Accelerometers

2018 ◽  
Vol 44 (4) ◽  
pp. 3329-3342 ◽  
Author(s):  
Pham Van Thanh ◽  
Duc-Tan Tran ◽  
Dinh-Chinh Nguyen ◽  
Nguyen Duc Anh ◽  
Dang Nhu Dinh ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Fall Detection ◽  
High Accuracy

CONAN: A Practical Real-time APT Detection System with High Accuracy and Efficiency

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Chunlin Xiong ◽  
Tiantian Zhu ◽  
Weihao Dong ◽  
Linqi Ruan ◽  
Runqing Yang ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
High Accuracy

Design of Bamboo Strip Detection System Based on Labview and Matlab Mixed Programming

2013 ◽  
Vol 302 ◽  
pp. 772-775 ◽  
Author(s):  
Li Ping He ◽  
Shu Xiang Song ◽  
Lei Liu ◽  
Xian Ming Jiang
Keyword(s):  
Real Time ◽  
Detection Rate ◽  
Surface Defects ◽  
Detection System ◽  
Detection Accuracy ◽  
The Novel ◽  
Large Area ◽  
Accuracy Requirement ◽  
Detection Technology ◽  
Mixed Programming

According to the domestic situation that bamboo strip detection technology is artificial intervention and low automation, the novel automatic bamboo strip detection system is designed based on Labview and Matlab mixed programming. The real-time detection on bamboo surface defects is realized in the system such as serious damage, stripe, scratch, large area dim. Moreover, the system provides more than 92% detection accuracy and eight strips per second detection rate, both of which can meet the accuracy requirement of practical production. In general, this paper provides a new kind of method for detection system.

scholarly journals A Survey on Human Detection using Reinforcement Learning

2021 ◽  
Vol 12 (6) ◽  
pp. 123-126
Author(s):  
Susmita Goswami Et.al
Keyword(s):  
Good Accuracy ◽  
Detection System ◽  
High Accuracy ◽  
Human Detection ◽  
Single Shot ◽  
Learning Method ◽  
Feature Maps ◽  
Detection Technology ◽  
One Step ◽  
Candidate Object

Human Detection - technology related to computer vision and image processing work by finding people in digital photos and videos and surveillance videos that are part of the observation. Single Shot Detector (SSD) is a deep learning method and is one of the fastest algorithms that use a single convolutional neural network to detect objects involving humans, cats, dogs, etc., and extract feature maps to classify the candidate object in the respective images. The advantage that SSD has is that it is quick to detect and has high accuracy in a given situation compared to regional suggested networks with smaller resolution images and smaller objects. However, it is still somewhat lagging in detecting large objects in larger images as compared to other algorithms that have been used to achieve better accuracy. It is a simple, end-to-end solution for a single network, and detection and extraction are done with one step forward single pass. The proposed system is to use the Optimized-SSD algorithm to detect human accuracy in the proposed database with good accuracy which will be the task of learning to increase SSD capacity as a detection system.

scholarly journals Real-Time Human Recognition at Night via Integrated Face and Gait Recognition Technologies

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4323
Author(s):  
Samah A. F. Manssor ◽  
Shaoyuan Sun ◽  
Mohammed A. M. Elhassan
Keyword(s):  
Real Time ◽  
Gait Recognition ◽  
High Accuracy ◽  
Detection Time ◽  
Body Segment ◽  
Accuracy Rate ◽  
Human Recognition ◽  
The People ◽  
Novel Approach ◽  
The Face

Human recognition technology is a task that determines the people existing in images with the purpose of identifying them. However, automatic human recognition at night is still a challenge because of its need to align requirements with a high accuracy rate and speed. This article aims to design a novel approach that applies integrated face and gait analyses to enhance the performance of real-time human recognition in TIR images at night under various walking conditions. Therefore, a new network is proposed to improve the YOLOv3 model by fusing face and gait classifiers to identify individuals automatically. This network optimizes the TIR images, provides more accurate features (face, gait, and body segment) of the person, and possesses it through the PDM-Net to detect the person class; then, PRM-Net classifies the images for human recognition. The proposed methodology uses accurate features to form the face and gait signatures by applying the YOLO-face algorithm and YOLO algorithm. This approach was pre-trained on three night (DHU Night, FLIR, and KAIST) databases to simulate realistic conditions during the surveillance-protecting areas. The experimental results determined that the proposed method is superior to other results-related methods in the same night databases in accuracy and detection time.

The Role of Data Mining in Intrusion Detection Technology

2008 ◽  
pp. 463-473 ◽  
Author(s):  
Amalia Agathou ◽  
Theodoros Tzouramanis
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Real Time ◽  
Computer System ◽  
Intrusion Detection System ◽  
Detection System ◽  
The Internet ◽  
The Past ◽  
Detection Technology

Over the past few years, the Internet has changed computing as we know it. The more possibilities and opportunities develop, the more systems are subject to attack by intruders. Thus, the big question is about how to recognize and handle subversion attempts. One answer is to undertake the prevention of subversion itself by building a completely secure system. However, the complete prevention of breaches of security does not yet appear to be possible to achieve. Therefore these intrusion attempts need to be detected as soon as possible (preferably in real time) so that appropriate action might be taken to repair the damage. This is what an intrusion detection system (IDS) does. IDSs monitor and analyze the events occurring in a computer system in order to detect signs of security problems. However, intrusion detection technology has not yet reached perfection. This fact has provided data mining with the opportunity to make several important contributions and improvements to the field of IDS technology (Julisch, 2002).

PV Array Mathematical Model Optimization Considering Wind Speed and Based on Real-Time Monitoring Data

2013 ◽  
Vol 368-370 ◽  
pp. 1266-1269
Author(s):  
Qian Wen Zhong ◽  
Yi Ze Sun ◽  
Jie Yang ◽  
Yang Xu
Keyword(s):  
Mathematical Model ◽  
Wind Speed ◽  
Real Time ◽  
Detection System ◽  
Model Optimization ◽  
Time Data ◽  
Pv Array ◽  
Optimized Model ◽  
The Mathematical Model ◽  
Generating System

Real-time data acquired by real-time detection system -Sunny Sensor Box-for Donghua University power generating system is utilized, and the mathematical model of the PV array for engineering is optimized by considering the effect of the wind speed upon the module temperature. Furthermore, the optimized model has been proved with higher accuracy.

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