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Technical Analysis and Construction of National Lightning Detecting Network

Xu Xiaofeng

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 7-13

Abstract: with the developed countries, China has some gaps in the fields of lightning studying, forecasting and detectingThe present situation and the direction of lightning detecting technology at home and abroad are alsoSeveral suggestions and issues have been proposed for constructing the national lightning detecting network

Keywords： lightning detecting technical analysis system construction

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Detecting

Chengkun WANG, Xiaojian ZHANG, Jun WANG, Chao CHEN

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6, Pages 770-777 doi: 10.1007/s11783-012-0412-0

Abstract: nitrosodimethylamine (NDMA) and several other nitrosamines have been detected as disinfection by-products in drinking waters in many countries around the world. An ultra-performance liquid chromatography-tandem mass spectrometry method with solid phase extraction sample preparation was developed to study the occurrence of nitrosamines in several water treatment plants and distribution systems in China. Isotope labeled nitrosodi- propylamine-d14 (NDPA-d14) was selected as the internal standard for quantification. The solid phase extraction procedures including pH, enrichment process and MS/MS parameters including capillary voltage, cone gas flow, cone voltage, collision energy were optimized to give average recoveries of 26% to 112% for nine nitrosamine species. The instrument detection limits were estimated to range from 0.5 to 5 μg·L for the nine nitrosamine species. NDMA and several other nitrosamines were found at fairly high concentrations in several water treatment plants and distribution systems. NDMA was found in all locations, and the highest concentrations in cities B, G, T, and W were 3.0, 35.7, 21.3, and 19.7 ng·L , respectively. A wide range of nitrosamines concentrations and species were observed in different locations. Higher concentrations of nitrosamines were detected in distribution systems that were further away from the treatment plants, suggesting that the contact time between the residual disinfectant and natural organic matter may play an important role in the formation of these compounds.

Keywords： N-nitrosamines water treatment plant distribution system ultra-performance liquid chromatography-tandem

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Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4, Pages 475-484 doi: 10.15302/J-FASE-2018241

Abstract:

At an early immature growth stage of citrus, a hyperspectral camera of 369–1042 nm was employed to acquire 30 hyperspectral images in order to detect immature green fruit within citrus trees under natural illumination conditions. First, successive projections algorithm (SPA) were implemented to select 677, 804, 563, 962, and 405 nm wavebands and to construct multispectral images from the original hyperspectral images for further processing. Then, histogram threshold segmentation using NDVI of 804 and 677 nm was implemented to remove image backgrounds. Three slope parameters, calculated from the pairs 405 and 563 nm, 563 and 677 nm, and 804 and 962 nm were used to construct a classifier to identify the potential citrus fruit. Then, a marker-controlled watershed segmentation based on wavelet transform was applied to obtain potential fruit areas. Finally, a green fruit detection model was constructed according to Grey Level Co-occurrence Matrix (GLCM) texture features of the independent areas. Three supervised classifiers, logistic regression, random forest and support vector machine (SVM) were developed using texture features. The detection accuracies were 79%, 75%, and 86% for the logistic regression, random forest, and SVM models, respectively. The developed algorithm showed a great potential for identifying immature green citrus for an early yield estimation.

Keywords： hyperspectral green citrus image processing fruit detection precision agriculture yield mapping

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Generating Available Scheme for Extension Detecting Technology

Yu Yongquan ,Zhang Jiwen

Strategic Study of CAE 2002, Volume 4, Issue 1, Pages 64-68

Abstract:

This work shows a method to obtain an available scheme for extension detecting technology.Based on the theory of extenics, some definitions and conceptions about extension detecting are described

Keywords： detecting matter-element detecting element extension set extension tree

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Design of the Optical System with Large Relative Aperture and Large Linear Field of View

Pan Junye

Strategic Study of CAE 2000, Volume 2, Issue 8, Pages 89-90

Abstract:

In this paper following discussion the author concluded that the optical system for IR detecting inthe distance should be an total reflecting off-axis aspheric system with large relative aperture andA system with diameter φ600 mm, f=1000 mm, and linear field of view ± 5° was designed.

Keywords： IR detecting relative aperture large field of view off-axis system aspheric surface

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Extension Detecting Technology

Yu Yongquan

Strategic Study of CAE 2001, Volume 3, Issue 4, Pages 88-94

Abstract:

Detecting is a key technology which has widely been used in almost all fields.However, there are two problems in traditional detecting methods.;extension detecting technology (EDT) , which is totally different from the existing ones is developedIt use the transformation of matter element to study detecting technology.and frame of extension detecting technology are introduced.

Keywords： extension detecting technology extrinsic transform of matter element

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Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Strategic Study of CAE 2008, Volume 10, Issue 4, Pages 44-55

Abstract:

A direct way to obtain the characteristic information about a nuclear reaction is to detect the rays released from the reaction. To explore the performances of a prompt fission or fusion reaction, sophisticated diagnostic techniques and equipments have been developed and established in China. The diagnostic equipments can measure intense and rapidly changing neutron and gamma rays fluxes in highly mixed neutron-gamma radiation fields. They operate in current mode, and meet a series of special needs in characteristic properties, such as selective radiation sensitivities, a wide dynamic range, a large linearity, a good neutron to gamma ray discrimination, a very fast time response, reliability, etc. Pulse radiation detection has found its various applications in scientific researches, including nuclear reaction mechanism, material analysis, and astronomy study. These diagnostic techniques and their relative detection systems, the design principle, the parameters which are important for current-mode applications are discussesd in th is paper.

Keywords： fission reaction fusion reaction pulse radiation detection detecting system neutron detection gamma-ray

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Recent advances of small-molecule fluorescent probes for detecting biological hydrogen sulfide

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1, Pages 34-63 doi: 10.1007/s11705-021-2050-1

Abstract: H₂S is well-known as a colorless, acidic gas, with a notoriously rotten-egg smell. It was recently revealed that H₂S is also an endogenous signaling molecule that has important biological functions, however, most of its physiology and pathology remains elusive. Therefore, the enthusiasm for H₂S research remains. Fluorescence imaging technology is an important tool for H₂S biology research. The development of fluorescence imaging technology has realized the study of H₂S in subcellular organelles, facilitated by the development of fluorescent probes. The probes reviewed in this paper were categorized according to their chemical mechanism of sensing and were divided into three groups: H₂S reducibility-based probes, H₂S nucleophilicity-based probes, and metal sulfide precipitation-based probes. The structure of the probes, their sensing mechanism, and imaging results have been discussed in detail. Moreover, we also introduced some probes for hydrogen polysulfides.

Keywords： hydrogen sulfide fluorescent probe reducibility nucleophilicity copper sulfide precipitate hydrogen polysulfides

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A dual-function chemical probe for detecting erasers of lysine lipoylation

Yusheng Xie, Jie Zhang, Liu Yang, Qingxin Chen, Quan Hao, Liang Zhang, Hongyan Sun

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1, Pages 121-127 doi: 10.1007/s11705-021-2051-0

Abstract: Lysine lipoylation plays vital roles in cell metabolism and redox processes. For example, removal of lipoylation will decrease pyruvate dehydrogenase activity and affect the citric acid cycle. Despite the important functions of lysine lipoylation, the mechanisms for the addition and removal of this modification remain largely unexplored. Very few useful chemical tools are available to study the interactions of lysine lipoylation with its regulatory delipoylation proteins. For example, immunoaffinity purification-mass spectrometry is one of such tools, which highly relies on antibody efficiency and purification techniques. Single-step activity based fluorogenic probes developed by our groups and others is also an efficient method to study the deacylation activity. Affinity-based labeling probe using photo-cross-linker is a powerful platform to study the transient and dynamic interactions of peptide ligands with the interacting proteins. Herein, we have designed and synthesized a dual-function probe KTLlip for studying enzymatic delipoylation (eraser) activity and interaction of lysine lipoylation with the eraser at the same time. We show that KTLlip can be used as a useful tool to detect delipoylation as demonstrated by its ability to fluorescently label the eraser activity of recombinant Sirt2. We envision that the probe will help delineate the roles of delipoylation enzyme in biology.

Keywords： dual-function fluorescent probe labeling photo-cross-linker lipoylation modification eraser sirtuin

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Fatigue Detecting System Based on TMS320DM642

Geng Lei,Wu Xiaojuan,Peng Zhang

Strategic Study of CAE 2005, Volume 7, Issue 11, Pages 87-90

Abstract:

In order to resolve crashed accidents caused by fatigue or drowsiness various fatigue detecting algorithmsneeds of large data, high transmission speed and complex operation, a real-time video-based processing systemThe system can meet the needs of capture, processing and display of multi-channel video.

Keywords： TMS320DM642 fatigue detection DFS FPGA OSD

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Research on On-line Detecting Method and Key Technologies for Part Quality (Dimension and Surface Roughness

Chen Aidi,Wang Xinyi

Strategic Study of CAE 2000, Volume 2, Issue 12, Pages 73-77

Abstract:

To research on on-line detecting method and key technologies for part quality, based on the analysisof methods and features of on-line detecting of part dimension and surface roughness, an artificialneural network system for on-line detecting of part dimension and a fuzzy neural network system for on-linedetecting of part surface roughness are developed.The Scheme of on-line detecting method for part quality can detect part dimension and surface roughness

Keywords： on-line detecting neural network fuzzy neural network dimension precision surface roughness

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Detectors for pulsed neutron and gamma-ray measurement

Ouyang Xiaoping

Strategic Study of CAE 2009, Volume 11, Issue 5, Pages 44-53

Abstract:

Detection system makes the core equipment for collecting feature informationfor the design, development, application and comprehensive performance assessment of the detection systemTo realize these parameters in designing a detection system, certain detection construction and technical

Keywords： mixed neutron gamma-ray fields pulsed radiation detection detecting system designing techniques

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Frontiers of Medicine 2020, Volume 14, Issue 5, Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

Keywords： mesial temporal lobe epilepsy functional magnetic resonance imaging structural magnetic resonance imaging machine learning support vector machine

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Rebound Method for Detecting the Intensity of the Moist or Water-Immerged Concrete Compressive Strength

Zhang Suhang

Strategic Study of CAE 2006, Volume 8, Issue 10, Pages 99-102

Abstract:

The rebound method may be used to detect the intensity of the concrete. But there would have wrong judgment when using the rebound method to detect the intensity of the moist or water-immerged concrete, because the compressive strength of the surface of the moist or water-immerged concrete is always influenced and debased. The result of the rebound method detection on the moist or water-immerged concrete compressive strength must be corrected. Firstly, the detection data getting from the present detection of the wet and dry concrete of the same grade are analyzed using the duality contrast regression. Then the influence of the moist or water-immerged concrete compressive strength on the intensity detection of the rebound method is get. Finally, the intensity curve equation of the rebound method that can meet the demands of the precision on the moist concrete is established, and the concrete compressive strength is reflected completely.

Keywords： rebound method moist or water-immerged concrete compressive strength

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Interval type-2 fuzzy logic based radar task priority assignment method for detecting hypersonic-glide Research Articles

Fanqing MENG, Kangsheng TIAN,maoximengruizhi@126.com,tiankangsheng@sohu.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 488-501 doi: 10.1631/FITEE.2000560

Abstract: A radar task method based on was designed to solve the problem of resource management for to detect hypersonic-glide vehicles (HGVs). The mathematical model of the radar task and the motion and detection models of HGVs are described in detail. The target threat of an HGV is divided into maneuver, speed, azimuth, and distance threats. In the radar task method based on IT2FLS, the maneuver factor, speed, azimuth difference, distance, and initial priority are input variables. The radar task priority is the output variable. To reduce the number of fuzzy rules and avoid rule explosion, an IT2FLS with a hierarchical structure was designed. Finally, the feasibility of the task method was verified by simulations. Simulation results showed that the method based on IT2FLS has a higher precise tracking rate, mean initial priority, and target threat degree, and a shorter offset time.

Keywords： Hypersonic-glide vehicle (HGV) Phased-array radar Interval type-2 fuzzy logic system (IT2FLS) Priority