Search scope:
排序： Display mode:
Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge regression Research Articles
Yanfen Le, Hena Zhang, Weibin Shi, Heng Yao,leyanfen@usst.edu.cn,hyao@usst.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 827-838 doi: 10.1631/FITEE.2000093
Keywords： 室内定位；接收信号强度（RSS）指纹；核岭回归；簇匹配；改进型分簇
Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation Research Articles
Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8, Pages 1133-1146 doi: 10.1631/FITEE.1800025
Keywords： Frequency-hopping Fingerprint feature Kernel function Joint representation Transmitter recognition
Situ Mengtian
Strategic Study of CAE 2001, Volume 3, Issue 7, Pages 64-69
Two difficult tedhnical problems in underground radio communications, i.e. weak signal reception and counter lightning pulses interference are described, and ways to solve these problems are proposed . The design scheme of the telegraph terminal used for weak signal reception and counter lightning pulses interference is exhaustively studied. The performances of this terminal are analyzed, and results of laboratory measure and field tests are also given.
Keywords： underground radio communications weak signal reception counter lightning interference
Experimental study on dimensional effect of mortar cubic compressive strength
Su Jie and Fang Zhi
Strategic Study of CAE 2014, Volume 16, Issue 2, Pages 88-92
The dimensional effect of mortar cubic compressive strength was investigated through compression experiments on mortar cubic specimens with the strength grade M30, M50 and M80 and specimen side length of 70 mm,100 mm,150 mm and 200 mm. The relationship between the strength grade and dimensional effect was built in this paper. Furthermore, the computational equations of dimensional effect were proposed. Finally，good agreements were found between tested data and the computational equations.
Keywords： mortar dimensional effect strength grade cubic compressive strength
Deep learning compact binary codes for fingerprint indexing None
Chao-chao BAI, Wei-qiang WANG, Tong ZHAO, Ru-xin WANG, Ming-qiang LI
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9, Pages 1112-1123 doi: 10.1631/FITEE.1700420
With the rapid growth in fingerprint databases, it has become necessary to develop excellent fingerprint indexing to achieve efficiency and accuracy. Fingerprint indexing has been widely studied with real-valued features, but few studies focus on binary feature representation, which is more suitable to identify fingerprints efficiently in large-scale fingerprint databases. In this study, we propose a deep compact binary minutia cylinder code (DCBMCC) as an effective and discriminative feature representation for fingerprint indexing. Specifically, the minutia cylinder code (MCC), as the state-of-the-art fingerprint representation, is analyzed and its shortcomings are revealed. Accordingly, we propose a novel fingerprint indexing method based on deep neural networks to learn DCBMCC. Our novel network restricts the penultimate layer to directly output binary codes. Moreover, we incorporate independence, balance, quantization-loss-minimum, and similarity-preservation properties in this learning process. Eventually, a multi-index hashing (MIH) based fingerprint indexing scheme further speeds up the exact search in the Hamming space by building multiple hash tables on binary code substrings. Furthermore, numerous experiments on public databases show that the proposed approach is an outstanding fingerprint indexing method since it has an extremely small error rate with a very low penetration rate.
Keywords： Fingerprint indexing Minutia cylinder code Deep neural network Multi-index hashing
Fengle Zhu, Zhenzhu Su, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li, Yong He
Engineering 2023, Volume 22, Issue 3, Pages 171-184 doi: 10.1016/j.eng.2022.10.006
Plant pathogens continuously impair agricultural yields and food security. Therefore, the dynamic characterization of early pathogen progression is crucial for disease monitoring and presymptomatic diagnosis. Hyperspectral imaging (HSI) has great potential for tracking the dynamics of initial infected sites for presymptomatic diagnosis; however, no related studies have extracted fingerprint spectral signatures (FSSs) that can capture diseased lesions on leaves during the early infection stage in vivo or investigated the detection mechanism of HSI relating to the host biochemical responses. The FSSs denote unique and representative spectral signatures that characterize a specific plant disease. In this study, the FSSs of spot blotch on barley leaves inoculated with Bipolaris sorokiniana were discovered to characterize symptom development for presymptomatic diagnosis based on time-series HSI data analysis. The early spectral and biochemical responses of barley leaves to spot blotch progression were also investigated. The fullspectrum FSSs were physically interpretable and could capture the unique characteristics of chlorotic and necrotic tissues along with lesion progression, enabling the in situ visualization of the spatiotemporal dynamics of early plant–pathogen interactions at the pixel level. Presymptomatic diagnosis of spot blotch was achieved 24 h after inoculation—12 h earlier than the traditional polymerase chain reaction (PCR) assay or biochemical measurements. To uncover the mechanism of HSI presymptomatic diagnosis, quantitative relationships between the mean spectral responses of leaves and their biochemical indicators (chlorophylls, carotenoids, malondialdehyde (MDA), ascorbic acid (AsA), and reduced glutathione (GSH)) were developed, achieving determination coefficient of prediction set (Rp2) > 0.84 for regression models. The overall results demonstrated that, based on the association between HSI and in vivo planttrait alterations, the extracted FSSs successfully tracked the spatiotemporal dynamics of bipolaris spot blotch progression for presymptomatic diagnosis. Tests of this methodology on other plant diseases demonstrated its remarkable generalization potential for the early control of plant diseases.
Keywords： Hyperspectral imaging Fingerprint spectral signatures Spot blotch Leaf lesion progression Presymptomatic diagnosis Biochemical indicators
Zhang Suhang
Strategic Study of CAE 2006, Volume 8, Issue 10, Pages 99-102
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
Pegasus: a distributed and load-balancing fingerprint identification system Article
Yun-xiang ZHAO,Wan-xin ZHANG,Dong-sheng LI,Zhen HUANG,Min-ne LI,Xi-cheng LU
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8, Pages 766-780 doi: 10.1631/FITEE.1500487
Keywords： Distributed fingerprint identification Distributed MongoDB Load balancing
Finite element analysis on stress and optimization for hydraulic transmission box upper case
Liu Chuanfeng,Tian Aiqin
Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 70-74
Computer finite element method is a revolution of mechanical design, it can avoid risk and faults efficiently with the result of finite element analysis(FEA). This article is about upper case of hydraulic transmission box. First making three-dimension model and offering stress analysis model, then by finite element analysis and comparing two schemes,this design problem is solved by mending scheme.
Keywords： hydraulic transmission box mechanics model finite element analysis stress diagram static intensity fatigue intensity
A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal
Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo
Strategic Study of CAE 2005, Volume 7, Issue 10, Pages 64-68
This paper talks about method to enhance vibration signals gotten by hitting iron pipe to cause a vibrating response from which the damaged pipe information will be found. However, the reflection wave is usually too weak to acquire useful information correctly. The method, in which mccltiple similar signals are superposed, can not only decrease the noise in the signal, but also receive more message that may be lost before because of the interval of sample collection. Since the noise in signals could be treated as white noise, after multiple superposition the added noise will become to zero. The programmed the software to performs efficiently and conveniently. There are some examples in practice to express that this method is correct.
Keywords： vibrating wave reflection wave signal enhancement software for superposition signal
Xun Li, Baoyan Duan, Yiqun Zhang, Yongxin Guo
Engineering 2023, Volume 30, Issue 11, Pages 63-74 doi: 10.1016/j.eng.2023.07.016
This work presents an optimal design method of antenna aperture illumination for microwave power transmission with an annular collection area. The objective is to maximize the ratio of the power radiated on the annular collection area to the total transmitted power. By formulating the aperture amplitude distribution through a summation of a special set of series, the optimal design problem can be reduced to
finding the maximum ratio of two real quadratic forms. Based on the theory of matrices, the solution to the formulated optimization problem is to determine the largest characteristic value and its associated characteristic vector. To meet security requirements, the peak radiation levels outside the receiving area are considered to be extra constraints. A hybrid grey wolf optimizer and Nelder–Mead simplex method is developed to deal with this constrained optimization problem. In order to demonstrate the effectiveness of the proposed method, numerical experiments on continuous apertures are conducted; then, discrete arrays of isotropic elements are employed to validate the correctness of the optimized results. Finally, patch arrays are adopted to further verify the validity of the proposed method.
Keywords： Microwave power transmission Beam collection efficiency Ring-shaped beam Annular collection area Grey wolf optimizer Nelder–Mead simplex method
Behavior of Concrete Under the Triaxial Compression
Yan Dongming,Lin Gao
Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 64-70
Experimental tests on 10 mm cubic concrete specimens were carried out using the servo hydraulic testing machine. Specimens subjected to equal constant confining pressures of 0, 4 MPa, 8 MPa, 12 MPa and 16 MPa respectively were conducted to investigate the deformation and strength characteristics of concrete. In addition, strength properties of concrete under unequal confining pressures were also investigated. Based on the test results it was revealed that the ultimate strength increases dramatically with the increasing confining pressure and the strain at peak stress increases even more pronounced. With the increasing minor principal stresses, the enhancement effect of middle principal stresses on the ultimate strength became weak. The complete stress- strain curves were obtained at different confining pressures. By comparison with the current literature, appropriate formulas of concrete strength and deformation were proposed for the engineering purpose.
Keywords： triaxial stress state confining pressure ultimate strength deformation concrete
Yang Maosheng,Chen Yueliang,Yu Dazhao
Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 46-50
A prediction model for residual strength of stiffened panels with multiple site damage based on artificial neural network (ANN) is developed, and the results obtained from the trained BP model are compared to the analytical and experimental data available in the literature. The results obtained indicate that the neural network model predictions are in the best agreement with the experimental data than any other methods, and the modified linkup models predict better than the linkup model proposed by Swift. In the end several simulations are carried out to predict the trends with varying input parameters. The results show that the residual strength decreases linearly as the half-crack length of lead crack increases and increases linearly as the ligament length increases for both kinds of stiffened panels, but the one-bay stiffened panels are more sensitive to the change than the two-bay stiffened panels.
Keywords： neural network multiple site damage stiffened panel residual strength
Intensity Theory and Test Verification
Liu Dabin,Han Wenba,Cai Bingqing and Han Xiaodong
Strategic Study of CAE 2007, Volume 9, Issue 12, Pages 44-52
Keywords： intensity theory test results yield stress state
Guo Shiyi, Liu Wenqiang, Zhao Weidong
Strategic Study of CAE 2021, Volume 23, Issue 6, Pages 22-32 doi: 10.15302/J-SSCAE-2021.06.010
Developed countries have reduced their carbon emission intensity by adjusting industrial structure, which is an important reference for China to achieve carbon peak and carbon neutralization. In this article, we analyze the changes of total carbon emission, carbon emission per capita, carbon emission intensity, and industrial structure in major developed countries, thus to obtain their experience regarding adjusting industrial structure and reducing carbon emission intensity. Developed countries have generally decoupled economic growth and carbon emissions since 1965 via industrial transfer, scientific and technological innovation, and service industry upgrading; however, a manufacturing hollowing problem emerged. Considering the unfinished industrialization process in China and the large proportion of high energy-consuming industries, we suggest that China cultivates emerging industries and develops digital economy to optimize and upgrade its industrial structure. Additionally, it should further strengthen the manufacturing industry and coordinate industrial transfer in China and abroad while ensuring the security of industrial and supply chains, thereby optimizing the spatial layout of industries and forming a new development pattern.
Keywords： industrial structure carbon emission intensity carbon emissions per capita international comparison decoupling
Title Author Date Type Operation
Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge regression
Yanfen Le, Hena Zhang, Weibin Shi, Heng Yao,leyanfen@usst.edu.cn,hyao@usst.edu.cn
Journal Article
Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation
Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI
Journal Article
The Technical Scheme and Key Equipment for Solving the Difficult Technical Problems of Underground Radio Communications
Situ Mengtian
Journal Article
Experimental study on dimensional effect of mortar cubic compressive strength
Su Jie and Fang Zhi
Journal Article
Deep learning compact binary codes for fingerprint indexing
Chao-chao BAI, Wei-qiang WANG, Tong ZHAO, Ru-xin WANG, Ming-qiang LI
Journal Article
Fingerprint Spectral Signatures Revealing the Spatiotemporal Dynamics of Bipolaris Spot Blotch Progression for Presymptomatic Diagnosis
Fengle Zhu, Zhenzhu Su, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li, Yong He
Journal Article
Rebound Method for Detecting the Intensity of the Moist or Water-Immerged Concrete Compressive Strength
Zhang Suhang
Journal Article
Pegasus: a distributed and load-balancing fingerprint identification system
Yun-xiang ZHAO,Wan-xin ZHANG,Dong-sheng LI,Zhen HUANG,Min-ne LI,Xi-cheng LU
Journal Article
Finite element analysis on stress and optimization for hydraulic transmission box upper case
Liu Chuanfeng,Tian Aiqin
Journal Article
A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal
Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo
Journal Article
Optimal Design of Aperture Illuminations for Microwave Power Transmission with Annular Collection Areas
Xun Li, Baoyan Duan, Yiqun Zhang, Yongxin Guo
Journal Article
Prediction model for residual strength of stiffened panels with multiple site damage based on artificial neural network
Yang Maosheng,Chen Yueliang,Yu Dazhao
Journal Article
Intensity Theory and Test Verification
Liu Dabin,Han Wenba,Cai Bingqing and Han Xiaodong
Journal Article
京公网安备 11010502051620号
