下载排行
Overview of marine electric field sensors
TAO Denghu;SHEN Chaochao;XI Xin;QIAN Liang;GUO Xiaojun;LIU Ruili;SU Yuezeng;Marine electric field detection has unique advantages in underwater target location, seabed resources exploration and seabed tectonic and geological structure exploration, which is a hot technology in the field of electromagnetic field cognition for marine military research in recent years. This review starts from the sensing electrodes, the core component of ocean electric field exploration or underwater target detection, and summarizes the foreign research level about the two main types of ocean electric field sensing electrodes—Ag/AgCl and carbon fiber electrodes, followed by a detailed introduction of the research progress of domestic representative research units and universities in this area, including performance evaluation methods, possible sensing mechanisms and signal conditioning circuits of the electrodes. Finally, the key problems faced by existing ocean electric field sensors are reviewed, as well as possible suggestions on how to prepare high-precision and high-stability ocean sensors from various aspects such as precise adjustment of electrodes, mechanism model, circuit design, and algorithm compensation, and a unified evaluation standard is proposed to provide suggestions for domestic ocean electric field sensors to move from laboratory to practical use.
A method of ECG classification based on deep learning
GAO Xuanrui;CAO Jinde;ZHANG Jinren;Cardiovascular disease is one of the leading causes of global mortality. Traditional medical methods for cardiovascular disease diagnosis require a large amount of knowledge and expertise, leading to a high risk of misdiagnosis in underdeveloped regions with limited access to skilled medical professionals. To save medical resources and reduce the misdiagnosis rate of cardiovascular disease, a novel classification model based on empirical mode decomposition(EMD) and artificial neural networks(ANN) is proposed, leveraging historical medical data. The model incorporates the SE-Net module, which introduces an attention mechanism to enhance detection efficiency. The proposed model has been applied to multiple publicly available datasets, demonstrating excellent accuracy in both the MIT-BIH arrhythmia database and the European ST-T electro cardio gram(ECG) database. Experimental results indicate that the denoising performance of the proposed model surpasses that of the baseline model in noise reduction tasks. Furthermore, in disease classification tasks, the proposed model achieves a precision rate of 95.78%, and a recall rate of86.16%, outperforming current mainstream classification models. Additionally, ablation experiments have been designed to validate the necessity of the two modules. The results of the ablation experiments show that both modules contribute to the accuracy and robustness of the classification, highlighting their essentiality.
Progress in Application of Plasma Technology in the Modification of Synthetic Fibers
LI Guohan;ZHANG Xianguo;HONG Yueli;ZHANG Ruiping;School of Textile and Clothing, Nantong University;Jiangsu Shunyuan New Materials Technology Co.Ltd.;Plasma processing is a new type of textile processing technology, which enjoys the advantages of mild conditions, short treatment time, obvious effect and clean environment. In this study, the basic concepts, producing methods and principles of plasma were briefly introduced, and starting from the mechanism of fabric fiber and plasma, focused on the application of plasma current in polyester, polypropylene, nylon, polyacrylonitrile fiber, aramid fiber, PBO fiber and UHMWPE fiber. After the plasma treatment, the hydrophilicity, the adhesion and the dyeing property of the fiber were all improved. In addition, after plasma treatment, etching on the fiber was produced, the finishing effect was improved, and the excellent mechanical properties of the fiber in the composite material was achieved. Also the plasma limitations and development obstacles were analyzed, including plasma technology itself,the textile industry related and timeliness, and the prospect of it in the textile industry development was explained.
Asymptotic Behavior of "Intermediate Point" for Differential Mean Value Theorem
NIE Hui;ZHANG Shuyi;ZHANG Xinyu;College of Mathematics and Physics,Bohai University;The purpose of this paper is to study the asymptotic behavior of the "intermediate point" of Cauchy differential mean value theorem when the two ends of the interval approach a certain point at the same time.By using the L'Hospital's rule of binary function,the asymptotic estimates of the "intermediate point" of Cauchy differential mean value theorem are established.Compared with the previous studies,this paper uses the L'Hospital's rule of binary function to study its asymptotic behavior,which makes the proof process concise.The results obtained in this paper are original,can improve and extend the corresponding results of some references.
Preparation of TiO2-V_2O5 /PANI Nanometer Conducting Composite Polymers Material
SUGuang-jun,LI Jian-hua (School of Chemistry and Chemical Engineering,Nantong University,Nantong226007,China)TiO 2 -V 2 O 5 and TiO 2 -V 2 O 5 /PANI nanometer conducting composite polymers material using tetrabutyl titanate and ammoniumvanadite as majorrawmaterials was prepared.The materials were characterized byXRDand SEM,and theirconductiviˉtywas checked.The experimentresults showed thatthe composite particle was small,and ithad excellentfluidity and even disperˉsion.The effect on its conductivity was also analyzed.
Detection of Polarized Light Using Two-Dimensional Atomic Materials
LUO Man;WU Feng;ZHANG Lili;WANG Fang;HU Weida;School of Information Science and Technology, Nantong University;State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences;Due to the special crystal structures,anisotropic two-dimensional materials exhibit anisotropy in electrical and optical properties such as photoluminescence spectra,Raman spectra,optical absorption spectra,and conductivity.These properties have aroused widespread concern in academic research,especially in the field of photodetection,which has provided great potential for the application in the design and development of optoelectronic devices.The recent development and achievements of anisotropic two-dimensional materials in optoelectronic devices are elaborated.Firstly,the crystal structure characteristics and the origin of anisotropy for anisotropic two-dimensional materials are summarized.Secondly,a variety of polarization-sensitive photodetectors based on anisotropic materials are introduced.Then,the importance of the application of anisotropic two-dimensional materials in photodetection is proposed.Finally,based on the present research,the challenges and opportunities faced by anisotropic two-dimensional materials are presented.
Study on the Absorption Spectrum of Cu Nanoparticle
ZHU Zhen-bang,ZHAO Liang,ZHOU Hui-jun,WU Wei-guo,XU Ling (Department of Physics,Nanjing University,Nanjing 210093,China)A series of Cu nanoparticles with different sizes were prepared by sedimentation method.Study on the transmission spectrum shows that the two peaks of the absorbance spectrum are at about 450 nm and 610 nm,and the peak values shift towards longer wavelength as the size of Cu nanoparticle increases.However,the phenomenon cannot be found in the absorbance spectrum of bulk materials.
Redundancy Theory and Its application to Ecology
LI Dian-you(College of Resource and Environment Science,Nanjing Agricultural University,Nanjing 210095,China)The paper mainly narrates the source and the main content of redundancy theory,the condition that produces redundancy and its relativity.Different forms in ecosystem and the application of redundancy theory to ecology are also analyzed.Moreover,it is pointed out redundancy theory can explain stability of ecosystem better than diversity theory.
Transportation Vehicle Safety Evaluation Model Based on Vehicle Network Data
LI Zhuoxuan;LIN Kaidi;GUO Jianhua;CAO Jinde;In order to improve the transportation safety management level and transportation efficiency, make an objective evaluation of the vehicles safety, a driving safety evaluation model combined with the multiple algorithms is proposed. First of all, according to the data of the internet-connected vehicles provided by the Highway Science Research Institute of the Ministry of Transport, the characteristics and evaluation indicators of the driver behaviors are designed and defined. Secondly, the regression analysis method is used to analyze the driving style. Then, the K-means clustering and DBSCAN clustering algorithms are used to analyze the driver′s unsafe behaviors. After the comparison, the results of K-means clustering algorithm and factor analysis are used to evaluate the driving behaviors of 6 categories. Combining the data mining and the data analysis algorithms in machine learning with the road transport industry, a quantitative analysis tool for the study of road transport safety management is proposed.
MODBUS-based Design of M-S Communication System
JIN Ying(Department of Computer Engineering,Huaiyin Institute of Technology,Huai′an 223001,China)This paper introduced MODBUS protocol,analyzed the function needs of fancy yarn twisting machine,and implemented a mastery-slavery communication system between touch-screen and microprocessor based on MODBUS.And the paper also specified the design of master′s software,slavery′s communication software,the frame of communication protocol and CRC verification.As a result,we can set and update the parameters conveniently and the system can meet the needs of different fancy yarn and can communicate stably and reliably.