Study of Detection Characteristics in Recognition of Simple Radio Pulses and Signals with LFM and PSK in the Autocorrelation Receiver

2020 ◽  
pp. 415-423
Author(s):  
Nguyen Trong Nhan ◽  
Alexey S. Podstrigaev ◽  
Vladimir P. Likhachev ◽  
Alexey A. Veselkov ◽  
Vadim V. Davydov ◽  
...  
Keyword(s):  
Detection Characteristics

Probing The Transient Response To Improve The Stability Of Diamond Devices Under Pulsed Periodic Excitation

2007 ◽  
Vol 1039 ◽  
Author(s):  
Philippe Bergonzo ◽  
Hassen Hamrita ◽  
Dominique Tromson ◽  
Caroline Descamps ◽  
Christine Mer ◽  
...  
Keyword(s):  
Polycrystalline Diamond ◽  
Pulse Generation ◽  
Uniform Electric Field ◽  
Device Stability ◽  
Photon Pulse ◽  
History Of ◽  
Medical Dosimetry ◽  
The Stability ◽  
Detection Characteristics ◽  
Time Of Flight Spectroscopy

AbstractCVD diamond combines attractive properties for the fabrication of detection devices operating in specific environments. One problem that remains critical for device stability is the presence of defect levels that alter the detection performances, and the detection characteristics often appear as they are very depending on time, temperature, and history of the preceding irradiations.One issue we have proposed is to adapt one technique that is commonly used for time of flight spectroscopy in order to maintain a uniform electric field in the probed device, and based on the synchronisation of the device bias with the period of the excitation source. This can be applied to several types of detection applications, as long as we can rely on periodical triggering in order to synchronise the device polarisation. We apply it here to a LINAC electron accelerator used for photon pulse generation at the frequency of 25Hz. The result is a remarkable improvement of the performance of a polycrystalline diamond detector that exhibits a particularly defective response when used in the steady state excitation, to reach that of a perfectly stable and reproducible device response in the pulsed mode. We claim this method to be applicable to several types of excitations and particularly to present a high interest for monitoring accelerator sources, e.g. for medical dosimetry applications.

Study on adsorption of CO and CO2 by graphene gas sensor

2021 ◽  
pp. 2150154
Author(s):  
Wenchao Tian ◽  
Jiahao Niu ◽  
Wenhua Li ◽  
Xiaohan Liu
Keyword(s):  
Gas Sensors ◽  
Active Sites ◽  
Density Functional ◽  
Gas Adsorption ◽  
Experimental Studies ◽  
Detection Accuracy ◽  
Functional Theory ◽  
Vacancy Defects ◽  
Adsorption Of Co ◽  
Detection Characteristics

The two-dimensional (2D) plane of graphene has many active sites for gas adsorption. It has broad application prospects in the field of MEMS gas sensors. At present, there are many experimental studies on graphene gas sensors, but it is difficult to accurately control various influencing factors in the experiments. Therefore, this paper applies the first principle based on density functional theory to study the adsorption and detection characteristics of graphene on CO and CO2. The first-principles analysis method was used to study the adsorption characteristics and sensitivity of graphene. The results show that the inductive graphene has a sensitivity of 1.55% and 0.77% for CO and CO2, respectively. The Stone–Wales defects and multi-vacancy defects have greatly improved the sensitivity of graphene to CO, which is 35.25% and 4.14%, respectively. Introduction of defects increases the sensitivity of detection of CO and CO2, but also improves the selective gas detection material of these two gases. Thus, the control and selectively introducing defects may improve the detection accuracy of the graphene CO and CO2.

Selecting the pre-detection characteristics for fiber coupling of parametric down-converted biphoton modes

2017 ◽  
Vol 382 ◽  
pp. 219-224
Author(s):  
Ali Anwar ◽  
Chithrabhanu P ◽  
Salla Gangi Reddy ◽  
Nijil Lal ◽  
R.P. Singh
Keyword(s):  
Fiber Coupling ◽  
Detection Characteristics

scholarly journals Effect of GNWs/NiO-WO3/GNWs Heterostructure for NO2 Gas Sensing at Room Temperature

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 626
Author(s):  
Seokhun Kwon ◽  
Seokwon Lee ◽  
Joouk Kim ◽  
Chulmin Park ◽  
Hosung Jung ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Room Temperature ◽  
Microwave Plasma ◽  
Gas Sensing ◽  
Chemical Vapor ◽  
Gas Concentration ◽  
Negative Change ◽  
Low Concentrations ◽  
Detection Characteristics ◽  
No2 Detection

Recently, as air pollution and particulate matter worsen, the importance of a platform that can monitor the air environment is emerging. Especially, among air pollutants, nitrogen dioxide (NO2) is a toxic gas that can not only generate secondary particulate matter, but can also derive numerous toxic gases. To detect such NO2 gas at low concentration, we fabricated a GNWs/NiO-WO3/GNWs heterostructure-based gas sensor using microwave plasma-enhanced chemical vapor deposition (MPECVD) and sputter, and we confirmed the NO2 detection characteristics between 10 and 50 ppm at room temperature. The morphology and carbon lattice characteristics of the sensing layer were investigated using field emission scanning electron microscopy (FESEM) and Raman spectroscopy. In the gas detection measurement, the resistance negative change according to the NO2 gas concentration was recorded. Moreover, it reacted even at low concentrations such as 5–7 ppm, and showed excellent recovery characteristics of more than 98%. Furthermore, it also showed a change in which the reactivity decreased with respect to humidity of 33% and 66%.

scholarly journals Detection Characteristics of Blood Lipid Lower Agents (BLLAs) in Nakdong River Basin

2013 ◽  
Vol 22 (12) ◽  
pp. 1615-1624 ◽  
Author(s):  
Hee-Jong Son ◽  
Chang-Dong Seo ◽  
Hoon-Sik Yeom ◽  
Mi-Jung Song ◽  
Kyung-A Kim
Keyword(s):  
River Basin ◽  
Blood Lipid ◽  
Nakdong River ◽  
Nakdong River Basin ◽  
Detection Characteristics

Terahertz Direct Detection Characteristics of a Superconducting NbN Bolometer

2011 ◽  
Vol 28 (1) ◽  
pp. 010702 ◽  
Author(s):  
Yuan Ren ◽  
Wei Miao ◽  
Qi-Jun Yao ◽  
Wen Zhang ◽  
Sheng-Cai Shi
Keyword(s):  
Direct Detection ◽  
Detection Characteristics

Theoretical Methods of Images Processing in Optoelectronic Systems

Biometrics ◽  
2017 ◽  
pp. 361-381
Author(s):  
Tatyana Strelkova ◽  
Vladimir Kartashov ◽  
Alexander P. Lytyuga ◽  
Alexander I. Strelkov
Keyword(s):  
Mathematical Model ◽  
Signal To Noise Ratio ◽  
Detection Algorithm ◽  
Optical Signal ◽  
Optoelectronic System ◽  
Output Plane ◽  
Mean Values ◽  
Optical Signals ◽  
Images Processing ◽  
Detection Characteristics

The chapter covers development of mathematical model of signals in output plane of optoelectronic system with registration of optical signals from objects. Analytical forms for mean values and dispersion of signal and interference components of photo receiver response are given. The mathematical model can be used as a base with detection algorithm development for optical signal from objects. An algorithm of signals' detection in output plane of optoelectronic system for the control is offered. The algorithm is synthesized taking into account corpuscular and statistical properties of optical signals. Analytical expressions for mean values and signal and noise components dispersion are cited. These expressions can be used for estimating efficiency of the offered algorithm by the criterion of detection probabilistic characteristics and criterion of signal/noise relation value. The possibility of signal detection characteristics improvement with low signal-to-noise ratio is shown.

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