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Exploring deep gradient information for biometric image feature representation

Neurocomputing 2016年 213卷 162-171页

作者： Jianjun Qian Jian Yang Ying Tai Hao Zheng School of Computer Science and Engineering Nanjing University of Science and Technology China Key Laboratory of Trusted Cloud Computing and Big Data Analysis Nanjing Xiaozhuang University China

This paper presents a novel but simple biometric image feature representation method, called exploring deep gradient information (DGI). DGI first captures the local structure of an image by computing the histogram of gradient orientation of each macro-pixel (local patch around the reference pixel). Thus, one image can be decomposed into L sub-images (sub-orientation images) according to the gradient information of each macro-pixel since there are L bins in the local histogram. To enrich the gradient information, we also consider the gradient orientation and magnitude of original image as sub-images. For each sub-image, histogram of oriented gradient (HOG) is used to further explore the gradient orientation information. All HOG features are concatenated into one augmented super-vector. Finally, fisher linear discriminate analysis (FLDA) is applied to obtain the low-dimensional and discriminative feature vector. We evaluated the proposed method on the real-world face image datasets NUST-RWFR, Pubfig and LFW, the PolyU Finger-Knuckle-Print database and the PolyU Palmprint database. Experimental results clearly demonstrate the effectiveness of the proposed DGI compared with state-of-the-art algorithms, e.g., SIFT, HOG, LBP, POEM, LARK and IDLS.

关键词： Image representation Deep gradients Feature extraction Biometrics

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A Ji-shaped Chinese-character millimeter-wave antenna for 5G communications 4

A Ji-shaped Chinese-character millimeter-wave antenna for 5G...

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4th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2021

作者： Yang, Baifa Huang, Haixuan Feng, Botao Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Big Data and Internet Shenzhen Technology University Shenzhen518118 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781665432030

A Ji-shaped Chinese-character patch antenna is proposed for future communications. The proposed antenna is comprised of two dielectric layers. Ji-shaped patch is etched on the upper surface of the top layer, whereas a feeding network is designed in the other layer. Furthermore, the conformal Jishaped antenna is designed to be placed on the surface of the cylindrical objects. Simulated results demonstrate that a gain of 7.9±0.3 dBi over the whole operating frequency band (24.75-27.5 GHz) can be obtained. © 2021 IEEE

关键词： Substrate integrated waveguides

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data-driven based iterative learning control for unknown linear discrete-time system by adaptive system identification 8

Data-driven based iterative learning control for unknown lin...

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8th IEEE data Driven Control and Learning Systems Conference, DDCLS 2019

作者： Zhu, Wenbo Fang, Yong Huang, Lixun Shanghai Institute for Advanced Communication and Data Science Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai200444 China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou450000 China

ISBN: (纸本)9781728114545

This paper considers an iterative learning control (ILC) scheme for unknown linear discrete-time system. ILC updates the system input using error information from previous iteration to sequentially improve the tracking performance. The asymptotic convergence may not be guaranteed when the system model information is uncertain. In this paper, we introduce the adaptive Fourier decomposition (AFD) algorithm to deal with the system identification problem. This adaptive approximation algorithm estimates a system representation using input/output data only. The learning gain of ILC satisfying the convergence condition is obtained according to the estimated system parameters. The effectiveness of system approximation and the tracking performance of ILC based on input/output measurements are verified with simulation results. © 2019 IEEE.

关键词： Approximation algorithms

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Match box meet-in-the-middle attacks on the SIMON family of block ciphers 3

Match box meet-in-the-middle attacks on the SIMON family of ...

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3rd International Workshop on Lightweight Cryptography for Security and Privacy, LightSec 2014

作者： Song, Ling Hu, Lei Ma, Bingke Shi, Danping State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Data Assurance and Communication Security Research Center Chinese Academy of Sciences Beijing100093 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9783319163628

SIMON is a family of lightweight block ciphers designed by the U.S National Security Agency in 2013. In this paper, we analyze the resistance of the SIMON family of block ciphers against the recent match box meet-in-the-middle attack which was proposed in FSE 2014. Our attack particularly exploits the weaknesses of the linear key schedules of SIMON. Since the data available to the adversary is rather limited in many concrete applications, it is worthwhile to assess the security of SIMON against such low-data attacks. © Springer International Publishing Switzerland 2015

关键词： National security

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Visual Design Of Artificial Pancreas Glucose Control Method

Visual Design Of Artificial Pancreas Glucose Control Method

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Complex Systems and Intelligent Science (CSIS-IAC), International Annual Conference on

作者： Ying Zhou Rui Zhuo Song Li Na Xia Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

The number of diabetic patients is predicted to increase and the age of diabetic patients is slowly becoming younger. Diabetes is generally categorized into the following types: type I diabetes, type II diabetes, gestational diabetes, and other types of diabetes caused by pancreatic disease, endocrine disease, medications, and other factors. The traditional method of treating diabetes involves injecting insulin using a device outside the body. This method is physically and psychologically harmful to the diabetic. Therefore, this paper focuses on the glycemic control of patients with type I diabetes who have completely lost their insulin secretion, and whose pancreas is unable to secrete insulin. Therefore, it is necessary to use a blood glucose sensor to measure the blood glucose concentration in the patient's body. Then the measured blood glucose concentration in the diabetic patient's body is fed back to the computer terminal. Finally the controller is utilized for regulation. This paper focuses on the regulation of blood glucose in the body of type I diabetic patients and combines a fuzzy controller and a PID controller to regulate the blood glucose concentration in type I diabetic patients. In this paper, the blood glucose-insulin metabolism models of healthy people and diabetic patients are firstly established. Then the parameter values of the PID controller are adjusted through several trials to build a fuzzy rule base. Then the fuzzy controller is designed so that the diabetic's blood glucose can be successfully tracked to the healthy person's blood glucose changes. In this way, the purpose of regulating the blood glucose concentration of diabetic patients is realized. In addition, on the basis of realizing the control of blood glucose concentration. In this paper, the GUI toolbox of MATLAB is also used to design the visualization interface for the simulation process and the results.

关键词：

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The effects of air temperature and precipitation on the net primary productivity in China during the early 21st century

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Frontiers of Earth Science 2018年第4期12卷 818-833页

作者： Qianfeng WANG Jingyu ZENG Song LENG Bingxiong FAN Jia TANG Cong JIANGs Yi HUANG Qing ZHANG Yanping QU Wnlin WANG Wei SHUI College of Environment and Resource Fuzhou UniversityFuzhou 350116China Key Laboratory of Spatial Data Mining &Information Sharing Ministry of Education of ChinaFuzhou 350116China Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection Fuzhou 350116China Climate Change Cluster University of Technology SydneyBroadwayNew South Wales 2007Australia College of Biological Science and Engineering Fuzhou UniversityFuzhou 350116China Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100094China China Institute of Water Resources and Hydropower Research Beijing 100038China Research Center on Flood and Drought Disaster Reduction Beijing 100038China

Research on how terrestrial ecosystems respond to climate change can reveal the complex interactions between vegetation and climate. net primary productivity (NPP), an important vegetation parameter and ecological indicator, fluctuates within any given ecological environment or regional carbon budget. In this study, spatial interpolation was used to generate a spatial dataset, with 1-km spatial resolution, with meteorological data from 736 observation stations across China. An improved CASA model was used to simulate NPP over the period of 2001-2013 by taking into account land-cover change in every year during the same period. We propose the gridbased spatial patterns and dynamics of annual NPP, annual average temperature, and annual total precipitation based on the model. We also used the model to demonstrate the spatial correlation between NPP, temperature, and precipitation in the study area with special focus on the impact of climate change in the early 21st century. Results showed that the spatial pattern of NPP over all of China is characterized by higher values in the southeast and lower values in the northwest. The spatial pattern of temperature indicates substantial latitudinal differences across the country, and the spatial pattern of precipitation shows a ribbon of decline from the southeast coast to the northwest inland. Most areas show an upward trend in NPP. Temperatures appear to decrease across the country during the global warming hiatus (1998-2008), and are accompanied by an increase in precipitation over most regions. The correlation between NPP and annual average temperature is weak. Alternatively, NPP and annual total precipitation are positively correlated in northern and central China at a coefficient above 0.64 (p < 0.01) yet negatively correlated in the eastern parts of the Qinghai- Tibet Plateau and Sichuan Basin. Results can provide useful information for improving parameters for calibration of the terrestrial ecosystem process model.

关键词： impact air temperature precipitation NPP China

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A Method of Constructing and Automatically Labeling Radio Frequency Signal Training dataset for UAV 48

A Method of Constructing and Automatically Labeling Radio Fr...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Liu, Chao Ma, Ruipeng Si, Zheng Chi, Mingmin Fudan University School of Computer Science Shanghai Key Laboratory of Data Science China Zhengzhou Zhongke Institute of Integrated Circuit and System Application China Zhengzhou University School of Cyber Science and Engineering China Zhengzhou University Henan Institute of Advanced Technology China

ISBN: (纸本)9781728163277

The problem of signal detection and classification of multiple UAVs can be solved using object detection techniques in computer vision. However, this requires collecting and labeling a large amount of reliable raw data. Since the UAV signal dataset cannot be directly applied to object detection, we propose a method using time-frequency domain filtering and automatic labeling to construct a large-scale time-frequency spectrogram dataset. Experimental results show that the average recognition accuracies of image transmission signals and remote control signals under interference conditions are 97% and 82%, respectively, while the average errors of signal parameters are 0.93% and 5.57%. © 2023 IEEE.

关键词： Object detection

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A Packet Loss Probability-Based Compensation Identification Method for Systems with Missing Binary-Valued Observations

A Packet Loss Probability-Based Compensation Identification ...

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第三十九届中国控制会议

作者： Jing Cheng Quanjun Liu Jin Guo School of Automation and Electrical Engineering University of Science and Technology Beijing Science and Technology on Space Physics Laboratory Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education

With the advent of the information age, the data quantization widely exists in the field of aerospace, robotics, intelligent transportation and so on, and the packet loss may appear in transmission. This paper studies the system identification under missing binary-valued observations. By making full use of the statistical properties of the packet loss process and the system noise, a packet loss probability-based compensation identification method is proposed. The performance analysis of the estimation algorithm is given, including the strong convergence, the mean-square convergence rate, and the asymptotic efficiency in terms of Cramer-Rao lower bound. The rationality and effectiveness of the theoretical results are verified by the numerical simulation.

关键词： System Identification Binary-valued Observations Packet Loss Convergence Asymptotic Efficiency

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Differentially-Fed Rectangular Patch Antenna under TM21and TM03Modes for Enhanced Bandwidth and Stable High Gain 13

Differentially-Fed Rectangular Patch Antenna under TM21and T...

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13th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2021

作者： Xu, Zhi-Yong Zhang, Xiao Hong, Kai-Dong Zhu, Lei Yuan, Tao Shenzhen University Guangdong Prov. Mobile Terminal Microwave And Millimeter-Wave Antenna Engineering Research Center College Of Electronics And Information Engineering Shenzhen518060 China Guangdong-Hong Kong Joint Laboratory For Big Data Imaging And Communication Shenzhen Guangdong518048 China ATR National Key Laboratory Of Defense Technology College Of Electronics And Information Engineering Shenzhen University Shenzhen Guangdong518060 China Department Of Electrical And Computer Engineering Faculty Of Science And Technology University Of Macau China Postgraduate Education Branch Of The China Education Society Of Electronics China

ISBN: (纸本)9781665434379

A differentially-fed rectangular patch antenna under TM21 and TM03 modes is proposed to realize bandwidth enhancement and stable high gain. Firstly, two open slots along the median of patch are introduced to reconstruct the current distribution of TM21 mode so that its broadside radiation is strengthened greatly. Secondly, another central slot along with the two sided ones interrupt out-of-phase current of TM03 mode and make it circulate with little radiation, hence substantially reducing the sidelobe level (SLL). With the help of loading three cascaded slots and pins, the frequencies of the two modes are merged together, and so the antenna obtains an enhanced impedance bandwidth of 11.8% (2.24-2.52 GHz). Finally, the simulation results show that the proposed rectangular patch antenna achieves gain level as high as 13.8 dBi, which has little variation in the working bandwidth. © 2021 IEEE.

关键词： Bandwidth

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Adversarial sampling and training for semi-supervised information retrieval

arXiv

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arXiv 2018年

作者： Park, Dae Hoon Chang, Yi Huawei Research America California School of Artificial Intelligence Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education China

Ad-hoc retrieval models with implicit feedback often have problems, e.g., the imbalanced classes in the data set. Too few clicked documents may hurt generalization ability of the models, whereas too many non-clicked documents may harm effectiveness of the models and efficiency of training. In addition, recent neural networkbased models are vulnerable to adversarial examples due to the linear nature in them. To solve the problems at the same time, we propose an adversarial sampling and training framework to learn ad-hoc retrieval models with implicit feedback. Our key idea is (i) to augment clicked examples by adversarial training for better generalization and (ii) to obtain very informational non-clicked examples by adversarial sampling and training. Experiments are performed on benchmark data sets for common ad-hoc retrieval tasks such as Web search, item recommendation, and question answering. Experimental results indicate that the proposed approaches significantly outperformstrong baselines especially for high-ranked documents, and they outperform IRGAN in NDCG@5 using only 5% of labeled data for the Web search task. Copyright © 2018, The Authors. All rights reserved.

关键词： Information retrieval

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