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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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Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Chongshi GU, Zhijun ZHANG, Xin CAI, Yue HOU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1, Pages 105-111 doi: 10.1007/s11709-010-0015-4

Abstract: roller compacted concrete (RCC) dam and uncertainties of the individual indicator evaluation, the fuzzy matter-elementmodel of seepage monitoring of RCC dam analysis has been established with the use of the fuzzy matter-elementAnd further the example shows that the analysis of entropy-based fuzzy matter-element analysis model

Keywords： information entropy fuzzy matter-element roller compacted concrete (RCC) dam seepage analysis

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Analysis on Methods of Forming the Ideas of Creating a Completely New Product

Shi Aifen,Xie Jianhua

Strategic Study of CAE 2002, Volume 4, Issue 11, Pages 89-93

Abstract: Secondly, look for the matter which possesses these characteristics according to the implicative natureof matter-element.these elements on the basis of their internal relations and a proper principle to get a system set of matter-element

Keywords： the complete new product the idea matter-element the implicative nature of matter-element

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Fuzzy Gray Matter-element Space Theory and Practical Application and Development——The Policy Decision

Xie Yanqing,Zhang Jiang,Guo Qiang,Lin Hua

Strategic Study of CAE 2002, Volume 4, Issue 11, Pages 57-66

Abstract:

The fuzzy gray matter-element space theory (FHW) , founded in 1980s by Professor He Zhongxiong, is

Keywords： complex system fuzzy gray matter-element space theory (FHW) soft science decision supporting system practical

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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.EDT takes advantage of the concept of matter element and the related methods of extrinsic.It 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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Recognition of Graphite Morphology in Nodular Cast Iron Based on Extenics

Chen Zhibin,Yu Yongquan,Yang Shaomin

Strategic Study of CAE 2005, Volume 7, Issue 3, Pages 84-89

Abstract: According to the graphite morphological features, matter-element analysis theory is applied to establishthe matter-element model for graphite morphology recognition.

Keywords： matter-element model extension classification tree graphite morphology nodular cast iron

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Buffer capacity of granular matter to impact of spherical projectile based on discrete element method

Ying YAN, Pengfei LI, Shunying JI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 50-54 doi: 10.1007/s11709-013-0186-x

Abstract: Granular matter possesses impact-absorbing property due to its energy dissipation character.To investigate the impact-absorbing capacity of granular matter, the discrete element method (DEM) isDetermining a suitable bed thickness is crucial to the buffering effect of granular matter.

Keywords： granular matter impact peak buffer capacity discrete element method critical thickness

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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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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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INDIAN PERSPECTIVE: SUSTAINABILITY OF BT COTTON IS A MATTER OF CONCERN NOW!

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1, Pages 146-149 doi: 10.15302/J-FASE-2021415

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Photoaging mechanism of microplastics: a perspective on the effect of dissolved organic matter in natural

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1743-8

Abstract:

● Microplastics (MPs) undergo photoaging in natural water under light irradiation.

Keywords： Microplastics Photoaging Dissolved organic matter ROS generation

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Particulate matter 2.5 triggers airway inflammation and bronchial hyperresponsiveness in mice by activating

Frontiers of Medicine 2021, Volume 15, Issue 5, Pages 750-766 doi: 10.1007/s11684-021-0839-4

Abstract: Exposure to particulate matter 2.5 (PM2.5) potentially triggers airway inflammation by activating nuclear

Keywords： particulate matter 2.5 sirtuin 2 p65 airway inflammation bronchial hyperresponsiveness triptolide

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AFHW Approach to Virtual Enterprise Agility Measurement

Wang Shuo,Tang Xiaowo

Strategic Study of CAE 2002, Volume 4, Issue 7, Pages 29-32

Abstract: AFHW model which combines improved analytic hierarchy process (AHP) with improved fuzzy and gray and matterelement method (FHW) was presented in order to carry out experts consultation and the virtual enterprise

Keywords： virtual enterprise agility measurement AFHW model analytic hierarchy process(AHP) fuzzy and gray and matterelement method(FHW)

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Loss of monocarboxylate transporter 1 aggravates white matter injury after experimental subarachnoid

Frontiers of Medicine 2021, Volume 15, Issue 6, Pages 887-902 doi: 10.1007/s11684-021-0879-9

Abstract: Subarachnoid hemorrhage (SAH) induces white matter injury, but the involvement of MCT1 is unclear.study, the SAH model of adult male Sprague-Dawley rats was used to explore the role of MCT1 in white matterMCT1 was significantly reduced, and the exogenous overexpression of MCT1 significantly improved white matterThis study confirmed that the loss of MCT1 may be one of the mechanisms of white matter damage after

Keywords： microRNAs monocarboxylate transporter 1 motor training subarachnoid hemorrhage white matter injury

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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