scholarly journals A coincidence detection system based on real-time software

2016 ◽  
Vol 5 (2) ◽  
pp. 437-449 ◽  
Author(s):  
Sindulfo Ayuso ◽  
Juan José Blanco ◽  
José Medina ◽  
Raúl Gómez-Herrero ◽  
Oscar García-Población ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
Cosmic Ray ◽  
Coincidence Detection ◽  
Pulse Delay ◽  
Development Platform ◽  
Electronic Circuitry ◽  
Coincidence System ◽  
Cost Development

Abstract. Conventional real-time coincidence systems use electronic circuitry to detect coincident pulses (hardware coincidence). In this work, a new concept of coincidence system based on real-time software (software coincidence) is presented. This system is based on the recurrent supervision of the analogue-to-digital converters status, which is described in detail. A prototype has been designed and built using a low-cost development platform. It has been applied to two different experimental sets for cosmic ray muon detection. Experimental muon measurements recorded simultaneously using conventional hardware coincidence and our software coincidence system have been compared, yielding identical results. These measurements have also been validated using simultaneous neutron monitor observations. This new software coincidence system provides remarkable advantages such as higher simplicity of interconnection and adjusting. Thus, our system replaces, at least, three Nuclear Instrument Modules (NIMs) required by conventional coincidence systems, reducing its cost by a factor of 40 and eliminating pulse delay adjustments.

scholarly journals A coincidence detection system based on real-time software

2016 ◽  
Author(s):  
Sindulfo Ayuso ◽  
Juan José Blanco ◽  
José Medina ◽  
Raúl Gómez-Herrero ◽  
Oscar García-Población ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
Cosmic Ray ◽  
Coincidence Detection ◽  
Pulse Delay ◽  
Analog To Digital ◽  
Development Platform ◽  
Electronic Circuitry ◽  
Coincidence System

Abstract. Conventional real-time coincidence systems use electronic circuitry to detect coincident pulses (hardware coincidence). In this work, a new concept of coincidence system based on real-time software (software coincidence) is presented. This system is based on the recurrent supervision of the Analog to Digital Converters status, which is described in detail. A prototype has been designed and built using a low-cost development platform. It has been applied to two different experimental sets for cosmic ray muon detection. Experimental muon measurements recorded simultaneously using conventional hardware coincidence and our software coincidence system have been compared, yielding identical results. These measurements have been also validated using simultaneous neutron monitor observations. This new software coincidence system provides remarkable advantages such as higher simplicity of interconnection and adjusting. Thus, our system replaces, at least, three Nuclear Instrument Modules (NIM) required by conventional coincidence systems, reducing its cost by a factor of 40 and eliminating pulse delay adjustments.

scholarly journals LAMP assay coupled with CRISPR/Cas12a system for portable detection of African swine fever virus

2021 ◽  
Author(s):  
Bo YANG ◽  
zhengwang shi ◽  
Yuan Ma ◽  
Lijuan Wang ◽  
Liyan Cao ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
African Swine Fever Virus ◽  
Low Cost ◽  
African Swine Fever ◽  
Lamp Assay ◽  
Cross Reactivity ◽  
Clinical Samples ◽  
Portable Detection ◽  
Real Time Qpcr

African swine fever (ASF) is one of the most severe infectious diseases of pigs. In this study, a LAMP assay coupled with the CRISPR Cas12a system was established in one tube for the detection of the ASFV p72 gene. The single-strand DNA-fluorophore-quencher (ssDNA-FQ) reporters and CRISPR-derived RNA (crRNAs) were screened and selected for the CRISPR detection system. In combination with LAMP amplification assay, the detection limit for the LAMP-CRISPR assay can reach 7 copies/μl of p72 gene per reaction. Furthermore, this method displays no cross-reactivity with other porcine DNA or RNA viruses. The performance of the LAMP-CRISPR assay was compared with real-time qPCR tests for clinical samples, a good consistency between the LAMP-CRISPR assay and real-time qPCR was observed. In the current study, a LAMP coupled with the CRISPR detection method was developed. The method shed a light on the convenient, portable, low cost, highly sensitive and specific detection of ASFV, demonstrating a great application potential for monitoring on-site ASFV in the field.

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 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.

Application Research on Precision Detection of Small Gear with Composite Edge Detection Method

2013 ◽  
Vol 333-335 ◽  
pp. 1123-1128
Author(s):  
Xin Luo ◽  
Li Ming Wu ◽  
De Zhi Zeng
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
High Speed ◽  
Dynamic Range ◽  
Detection Method ◽  
Detection System ◽  
Structural Characteristics ◽  
Low Cost ◽  
Edge Image ◽  
Edge Detection Method

Vision-based measurement method can be widely used for a variety of real-time and online precision measurements, and particularly well suited for dynamic real-time precision measurement of geometry parameters of the part, which has advantages of non-contact, high-speed, big dynamic range, rich amount of information, and relatively low cost. After the study of vision-based online detection system of small gear, we propose a composite subpixel edge detection method, which combines the four-way weighted differential algorithm based on the classic Sobel operator and OFMM (Orthogonal Fourier-Mellin Moment), aiming at achieving the precision location of the subpixel edge firstly. And then detect tooth profile defects rapidly through scanning circularly the edge image, according to the structural characteristics of gears. The theoretical analysis and experimental results show that the detection method has so high accuracy and speed that it can meet the industrial online tests requirements.

scholarly journals Real time automatic cloud detection using a low-cost sky camera

2020 ◽  
Author(s):  
Joaquín Alonso-Montesinos
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Energy Production ◽  
Production Management ◽  
Detection System ◽  
Low Cost ◽  
Cloud Detection ◽  
Precise Control ◽  
Short Period ◽  
Sky Conditions

Abstract. Characterizing the atmosphere is one of the most complex studies to undertake due to the non-linearity and phenomenological variability. Clouds are also amongst the most variable of the 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. Likewise, 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. The system's overall success rate is approximately 94% for all types of sky conditions.

scholarly journals A Monitoring and Threat Detection System Using Stream Processing as a Virtual Function for Big Data

2019 ◽  
Author(s):  
Martin E. Andreoni Lopez ◽  
Otto Carlos Muniz Bandeira Duarte ◽  
Guy Pujolle
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
Stream Processing ◽  
Machine Learning Algorithms ◽  
Optimal Placement ◽  
Network Function Virtualization ◽  
Threat Detection ◽  
Network Function ◽  
Minimum Number

The late detection of security threats causes a significant increase in the risk of irreparable damages, disabling any defense attempt. As a consequence, fast real-time threat detection is mandatory for security guarantees. In addition, Network Function Virtualization (NFV) provides new opportunities for efficient and low-cost security solutions. We propose a fast and efficient threat detection system based on stream processing and machine learning algorithms. The main contributions of this work are i) a novel monitoring threat detection system based on stream processing; ii) two datasets, first a dataset of synthetic security data containing both legitimate and malicious traffic, and the second, a week of real traffic of a telecommunications operator in Rio de Janeiro, Brazil; iii) a data pre-processing algorithm, a normalizing algorithm and an algorithm for fast feature selection based on the correlation between variables; iv) a virtualized network function in an open-source platform for providing a real-time threat detection service; v) near-optimal placement of sensors through a proposed heuristic for strategically positioning sensors in the network infrastructure, with a minimum number of sensors; and, finally, vi) a greedy algorithm that allocates on demand a sequence of virtual network functions.

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