A high-efficiency dirty-egg detection system based on YOLOv4 and TensorRT

2021 ◽  
Author(s):  
Xiangheng Wang ◽  
Xuebin Yue ◽  
Hengyi Li ◽  
Lin Meng
Keyword(s):  
High Efficiency ◽  
Detection System

scholarly journals Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2538
Author(s):  
Shuang Zhang ◽  
Feng Liu ◽  
Yuang Huang ◽  
Xuedong Meng
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Spread Spectrum ◽  
High Efficiency ◽  
Detection System ◽  
Direct Sequence Spread Spectrum ◽  
Detection Performance ◽  
Detection Methods ◽  
Direct Sequence ◽  
Artificial Neural

The direct-sequence spread-spectrum (DSSS) technique has been widely used in wireless secure communications. In this technique, the baseband signal is spread over a wider bandwidth using pseudo-random sequences to avoid interference or interception. In this paper, the authors propose methods to adaptively detect the DSSS signals based on knowledge-enhanced compressive measurements and artificial neural networks. Compared with the conventional non-compressive detection system, the compressive detection framework can achieve a reasonable balance between detection performance and sampling hardware cost. In contrast to the existing compressive sampling techniques, the proposed methods are shown to enable adaptive measurement kernel design with high efficiency. Through the theoretical analysis and the simulation results, the proposed adaptive compressive detection methods are also demonstrated to provide significantly enhanced detection performance efficiently, compared to their counterpart with the conventional random measurement kernels.

HENDES-high efficiency neutron detection system for correlation measurements with HI beams

1997 ◽  
Author(s):  
W. H. Trzaska ◽  
V. A. Rubchenya ◽  
A. A. Alexandrov ◽  
I. D. Alkhazov ◽  
J. Äystö ◽  
...  
Keyword(s):  
High Efficiency ◽  
Detection System ◽  
Neutron Detection

A high efficiency neutron detection system for photoreaction studies

1974 ◽  
Vol 115 (2) ◽  
pp. 573-579 ◽  
Author(s):  
E.J. Dowdy ◽  
J.T. Caldwell ◽  
G.M. Worth
Keyword(s):  
High Efficiency ◽  
Detection System ◽  
Neutron Detection

scholarly journals The driver design for N2O gas detection system based on tunable interband cascade laser

2019 ◽  
Vol 78 ◽  
pp. 03002
Author(s):  
Lihuan Liao ◽  
Jingjing Zhang ◽  
Daming Dong
Keyword(s):  
Power Supply ◽  
High Efficiency ◽  
Detection System ◽  
Tunable Diode Laser ◽  
Circuit Board ◽  
Gas Detection ◽  
Electrolytic Capacitor ◽  
Negative Power ◽  
Interband Cascade Laser ◽  
Driver Circuit

In this paper, the driver circuit for N2O gas detection system based on tunable interband cascade laser (ICL) is developed. Considering the influence of power supply stability on the digital-analog hybrid drive circuit of tunable diode laser absorption spectroscopy (TDALS), the high-efficiency TPS5430 is used to design the positive and negative power supply circuit. The large electrolytic capacitor + post-stage LC filter combination filter is used to effectively filter out high and low frequency ripple and switching noise. The use of thick high current trace + via + multilayer printed circuit board (PCB) design makes the line temperature rise smaller, more stable and durable, and uses high frequency shielding inductance to effectively reduce radiation interference to ensure the stability of the drive. The STM32F407, a highperformance microcontroller based on the ARM Cortex-M4 core, is used as the master control chip and generates a sawtooth scanning signal. The direct digital synthesizer (DDS) chip ICL8038 is used to generate a sinusoidal modulated signal of a specific frequency. The two signals are superimposed by a reverse addition circuit, and the laser drive signal is generated by a developed positive feedback balanced voltagecurrent conversion circuit. Experimental results show that the driver circuit can well meet the drive development requirements of N2O gas detection systems based on tunable interband cascade laser.

scholarly journals Optimizing Filter-Based Feature Selection Method Flow for Intrusion Detection System

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2114
Author(s):  
Murtaza Ahmed Siddiqi ◽  
Wooguil Pak
Keyword(s):  
Feature Selection ◽  
Intrusion Detection ◽  
High Efficiency ◽  
Detection System ◽  
Feature Selection Method ◽  
Extraction Methods ◽  
Security Requirements ◽  
Digital Information ◽  
Selection Methods ◽  
Process Flow

In recent times, with the advancement in technology and revolution in digital information, networks generate massive amounts of data. Due to the massive and rapid transmission of data, keeping up with security requirements is becoming more challenging. Machine learning (ML)-based intrusion detection systems (IDSs) are considered as one of the most suitable solutions for big data security. Despite the progress in ML, unrelated features can drastically influence the performance of an IDS. Feature selection plays a significant role in improving ML-based IDSs. However, the recent growth of dimensionality in data poses quite a challenge for current feature selection and extraction methods. Due to high data dimensionality, feature selection methods suffer in terms of efficiency and effectiveness. In this paper, we are introducing a new process flow for filter-based feature selection with the help of a transformation technique. Generally, normalization or transformation is implemented before classification. In our proposed model, we implemented and evaluated the effects of normalization before feature selection. To present a clear analysis on the effects of power transformation, five different transformations were implemented and evaluated. Furthermore, we implemented and compared different feature selection methods with the proposed process flow. Results show that compared with existing process flow and feature selection methods, our proposed process flow for feature selection can locate a more relevant set of features with high efficiency and accuracy.

Design of On-Line Detection System for Paper Defects Based on Line-Scan Camera

2014 ◽  
Vol 536-537 ◽  
pp. 268-271
Author(s):  
Ping He ◽  
Chao Liu ◽  
Meng Wang ◽  
Sheng Mei Cao
Keyword(s):  
High Efficiency ◽  
Detection System ◽  
Low Cost ◽  
Digital Camera ◽  
Line Detection ◽  
Detection Scheme ◽  
Line Scan ◽  
On Line ◽  
Increasing Demand ◽  
Technology Level

Paper defects mean that there are some defects in the paper such as hole, emboss, and fold during the paper production, which mainly results from the limitation of technological level. In the past time, artificial visual inspection and off-line checking were often used to detect the paper defects. However, its shortcoming was highlighted along with the improvement of industrial technology level and increasing demand for paper. In order to realize the online detection and markers for paper defects, the project designs the on-line detection system based on line-scan digital camera. Firstly, the principle and detection scheme of the system for the paper defects was presented. Then the overall structure of the system was designed. After that, the hardware circuit of the system was designed using TMS320F2812 as main control chip. It mainly consists of the function of each module and the working process of the system. Finally, the software of the image acquisition system was presented. With the experimental verification, the system has advantages of low cost, high efficiency and strong resistance to interference. The functions and indexes achieved the design requirements.

scholarly journals Vehicles Detection System at Different Weather Conditions

2021 ◽  
pp. 2040-2052
Author(s):  
Mustafa Najm Abdullah ◽  
Yousra Hussein Ali
Keyword(s):  
Intelligent Transportation Systems ◽  
High Efficiency ◽  
Detection System ◽  
Weather Condition ◽  
Weather Conditions ◽  
Histogram Equalization ◽  
Transportation Systems ◽  
Support Vector ◽  
Detection Accuracy ◽  
Gaussian Blur

The importance of efficient vehicle detection (VD) is increased with the expansion of road networks and the number of vehicles in the Intelligent Transportation Systems (ITS). This paper proposes a system for detecting vehicles at different weather conditions such as sunny, rainy, cloudy and foggy days. The first step to the proposed system implementation is to determine whether the video’s weather condition is normal or abnormal. The Random Forest (RF) weather condition classification was performed in the video while the features were extracted for the first two frames by using the Gray Level Co-occurrence Matrix (GLCM). In this system, the background subtraction was applied by the mixture of Gaussian 2 (MOG 2) then applying a number of pre-processing operations, such as Gaussian blur filter, dilation, erosion, and threshold. The main contribution of this paper is to propose a histogram equalization technique for complex weather conditions instead of a Gaussian blur filter for improving the video clarity, which leads to increase detection accuracy. Based on the previous steps, the system defines each region in the frame expected to contain vehicles. Finally, Support Vector Machine (SVM) classifies the defined regions into a vehicle or not.  As compared to the previous methods, the proposed system showed high efficiency of about 96.4% and ability to detect vehicles at different weather conditions.

scholarly journals Deformation Detection Method of Mine Tunnel Based on Mobile Detection System

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5400
Author(s):  
Jian Sun ◽  
Haili Sun ◽  
Ruofei Zhong ◽  
Yulong Han
Keyword(s):  
High Precision ◽  
High Efficiency ◽  
Detection System ◽  
Repeated Measurements ◽  
Structural Safety ◽  
Measurement Unit ◽  
Scanning System ◽  
Control Points ◽  
System Calibration ◽  
Tunnel Section

Subway structure safety detection is an important method to ensure the safe operation of trains. Efficient, high-precision, and automatic tunnel clearance detection is the key to ensure safe operations. This study introduces a mobile tunnel scanning system that integrates a scanner, an inertial measurement unit (IMU), and a rail car. Global Navigation Satellite System (GNSS) time and system hardware calibration are used to synchronize time and space information of the system; the attitude and speed are corrected using the control points from the tunnel to improve the accuracy of absolute positioning. The section coordinate system is converted using the control points and system calibration parameters to complete the tunnel clearance inspection, and the distance between the nearest point of the section and the clear height of the vault is given. Taking Fengxi Road’s Bashan tunnel section of Chongqing Metro Line 5 as an example, the overall system accuracy was tested. The accuracy of chord line measurements was within 1 mm, the internal coincidence accuracy of repeated measurements of the vault clear height was 1.1 mm, the internal coincidence accuracy of repeated measurements of the closest gauge point was 4.8 mm, and the system calibration accuracy was approximately 2 mm. Compared with the existing scheme, the system combines absolute measurement and relative measurement mode to judge the structural safety of tunnel section from multiple angles, high precision, and high efficiency.

New detection system for HAADE and holography in STEM

1992 ◽  
Vol 50 (1) ◽  
pp. 102-103
Author(s):  
Marian Mankos ◽  
Shi Yao Wang ◽  
J.K. Weiss ◽  
J.M. Cowley
Keyword(s):  
High Efficiency ◽  
Detection System ◽  
Dark Field ◽  
Light Signal ◽  
Bright Field ◽  
Transmitted Beam ◽  
Wide Range ◽  
Annular Dark Field ◽  
Resolution Imaging ◽  
Diffraction Patterns

A novel detection system has been designed and realized experimentally on the HB5 STEM instrument. Shadow images, diffraction patterns as well as high-angle annular dark field and bright field images are observed simultaneously with high efficiency using CCD and TV cameras. The microscope can be operated in a wide range of instrument modes which includes the implementation of new techniques for high resolution imaging.As shown in Fig. 1, the detection system has three triple choice stages. Diffracted beams can be collected by three P47 fast phosphor annular detectors inclined at 45 degree to the axis and having different inner and outer acceptance angles, which can be adjusted by the postspecimen lenses. The detector is observed through a window by a photomultiplier. The annular detectors have been used also for a new bright field STEM technique which utilizes the inner rim of the detectors to collect only the outermost annular part of the central beam and promises an improvement in resolution by a factor of about 1.6. Initial results show some promise (Fig. 2). The transmitted beam is then converted into a light signal in YAG and P47 detectors; optionally the central part of the beam can be detected in the EELS spectrometer. The generated light signal is reflected through a system of mirrors, exits the vacuum chamber and is collected with high efficiency by high aperture optical lenses.

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