Abstract: DNA storage technology provides a new way to tackle the problems of massive data storage and application, due to its high density, long durability, and low maintenance cost. To face massive data storage demand, DNA storage has to overcome the problem...
Abstract: Hardware Trojan attack has become a serious threat to Integrated Circuit(IC). Hardware Trojans are hidden, rare triggered and the data-sets of Trojan benchmarks are unbalanced, a hardware Trojan detection method that performs a static analysis in gat...
Abstract: In order to meet the requirements of performance and power in Ultimate Edge Computing (UEC) scenario, a Convolutional Neural Network (CNN) accelerator architecture is proposed with 16 Bit quantization model that does not rely on external memory. The ...
Abstract: As the core positioning component of the motor, the angle sensor has an important impact on the positioning accuracy of the motor. In this paper, a bipolar inductive absolute angle sensor is designed. The sensor measures the angle by periodically cha...
Abstract: Perfect Gaussian Integer Sequence (PGIS) has been widely used in Code Division Multiplexing (CDM) systems and Orthogonal Frequency Division Multiplexing (OFDM) systems because of its good anti-interference, high transmission rate and high frequency s...
Abstract: Traditional Generative Adversarial Network (GAN) ignores the representation and structural information of the original feature when the feature map is large, and there is no remote correlation between the pixels of the generated images, resulting ima...
Abstract: For the problem that the existing network defense decision-making method is challenging by error interference and real-time response, a novel network defense decision-making method based on an Improved Evolutionary Game Model (IEGM) is proposed. Firs...
Abstract: To relieve the negative impacts caused by non-Independent and Identically Distributed (non-IID) data across different clients in federated learning, a spectral clustering-based Fourier personalized federated learning mechanism is proposed to overcome...
Abstract: In-band full-duplex is an efficient technology to alleviate the shortage of spectrum resources in wireless communication system. To ensure the information security of the full-duplex communication system, where a Full Duplex Access Point (FD-AP) rece...
Abstract: Time sensitive network is one of the core technologies of future smart factories. There are multiple business flows with different requirements in smart factories. To ensure the performance of critical traffic flows and improve network bandwidth util...
Abstract: It’s challenging to use traditional optimization algorithms to solve the long-term dynamic deployment problem of Unmanned Aerial Vehicles (UAVs) due to their high complexity and difficulty in matching dynamic environment. Aiming at solving these shor...
Abstract: Access Point(AP) selection in cell-free massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access(MIMO-NOMA) system has a great impact on effectively reducing the backhaul overhead and improving the user’s downlink achievable rate. In thi...
Abstract: In this paper, the joint optimization of transmission power, modulation mode and the rate of channel codes is studied in wireless communication systems with Energy Harvesting(EH) when the prior information of energy harvesting and channel state is un...
Abstract: So far, the information theory of Orthogonal Frequency Division Multiplexing (OFDM) Visible Light Communication (VLC) and Radio Frequency (RF) aggregation systems based on finite alphabet inputs is still unknown. Based on this situation, the achievab...
Abstract: To deal with effects of limited spectrum, fading and multipath during wireless communication, a new joint source-channel code modulation scheme is proposed. This scheme consists of a Variable-Length Error-Correct (VLEC) code and doping modulation. Wi...
Abstract: To ensure security and reduce energy consumption for data acquisition in Wireless Sensor Network (WSN), Unmanned Aerial Vehicle (UAV) swarms-aided energy consumption optimization for data acquisition algorithm is proposed. The total energy consumptio...
Abstract: To solve the potential security issue caused by the fact that the transmitted beam in the phased array-assisted wireless communication systems only depend on angle characteristics and high computational complexity caused by the traditional iteration ...
Abstract: Focusing on solving the problem of small sample signal modulation recognition, the theoretical feasibility of using Support Vector Machine (SVM) for modulation recognition is investigated firstly; Secondly, based on statistical learning theory, a the...
Abstract: Intelligent Reflecting Surface (IRS) has been widely used in the after 5G and 6G to increase the communication efficiency by adjusting the wireless transmission channels in real-time. In this paper, the use of distributed IRSs to maximize the secrecy...
Abstract: Quantum Imaging(QI) is an important research direction in the field of quantum optics due to its anti-reconnaissance, anti-interference and high resolution. In order to solve the problem of image quality degradation caused by the abnormal coincidence...
Abstract: Orthogonal Time Sequency Multiplexing (OTSM) multiplexes information symbols in the delay-sequence domain through concatenated time division and Walsh-Hadamard multiplexing. Due to the Walsh-Hadamard Transform (WHT) does not require complex multiplic...
Abstract: Polarimetric Inverse Synthetic Aperture Radar (ISAR), which has the ability of full polarization measurement and high-resolution imaging, has become an important sensor for space awareness. As a typical man-made target, space target has various scatt...
Abstract: To achieve high performance beam scanning of tri-polarized planar arrays over a wide angle range, this study presents a tri-polarized element-based method that forms a half-space scanning beam of planar arrays . Moreover, the beam scanning characteri...
Abstract: Microwave Frequency Shift (MFS) technology is widely used in electronic countermeasures, satellite communications and frequency diverse array radar. The MFS method based on photonics has the advantages of large bandwidth and pure spectrum. In order t...
Abstract: Against the epidemic background, the contactless human-computer interaction has great application prospects in the medical and health field. Among them, using gesture recognition method to realize non-contact instrument control is becoming the hotspo...
Abstract: The Rapidly-exploring Random Tree (RRT) algorithm has some shortcomings, including low computation efficiency and non-asymptotic optimality. An Improved RRT (IRRT) algorithm based on search rules and cross entropy optimization is presented in this pa...
Abstract: The Finite Rate of Innovation (FRI) theory can realize the sub-Nyquist sampling of pulse streams signal by a sampling rate much lower than its Nyquist frequency. Most classical FRI reconstruction algorithms operate on the basis of Fourier coefficient...
Abstract: In order to optimize the coherent accumulation, repeated searches are required. However, due to the randomness and time variability, it is difficult to search for the optimal transformation order. In order to solve this problem, singular value decomp...
Abstract: In distributed sensor networks, the inconsistent estimation results of state parameters such as azimuth and axis lengths of the same extended target under different sensors lead to the difficulty of extended target estimation association, which gives...
Abstract: The three-dimensional parameter estimation algorithm of the helicopter with constant speed flight from the underwater acoustic data with single hydrophone, which extended the traditional two-dimension flight parameters estimation is proposed. Firstly...
Abstract: Low Dose CT (LDCT) images can significantly reduce the X-ray radiation dose, but there is a lot of noise that affects doctors' diagnosis. Deep Image Prior (DIP) is an unsupervised deep learning algorithm that uses random tensor as the input of neural...
Abstract: As the core algorithm of deep learning technology, deep neural network is easy to make wrong judgment on the adversarial examples with imperceptive perturbation. This situation brings new challenges to the security of deep learning model. The resista...
Abstract: Considering the problems of imbalanced comprehensive performance of the current deep learning single-stage detection algorithms and difficult deployment in embedded devices, one High-Performance object detection algorithm for embedded platforms is pr...
Abstract: In this paper, a Transfer Fuzzy C-Means clustering algorithm based on Maximum Mean Discrepancy (TFCM-MMD) is proposed. TFCM-MMD solves the problem that the transfer learning effect of the transfer fuzzy C-means clustering algorithm is weakened when t...
Abstract: Adversarial sample generation is a technique that makes the neural network produce misjudgments by adding small disturbance information. Which can be used to detect the robustness of text classification models. At present, the methods of sample gener...
Abstract: Factors such as scale variation, occlusion and complex backgrounds make crowd number estimation in crowded scenes a challenging task. To cope with the scale variation in crowd images and the scope limitation and the feature similarity problem in exis...
Abstract: Considering the problems of low detection accuracy, slow model convergence speed and large amount of computation in current panorama image saliency detection methods, a U-Net with Robust vision transformer and Multiple attention at tention modules (U...
Abstract: Person Re-IDentification (ReID) aims to retrieve specific pedestrian targets across surveillance cameras. For the purpose of aggregating the multi-granularity features of pedestrian images and further solving the problem of deep feature mapping corre...
Abstract: Automatic and accurate segmentation of 3D kidney CT image is of great significance to reduce the workload of doctors and improve the efficiency of computer-aided diagnosis. However, due to the structural complexity of kidney organs and the gray simil...
Abstract: 3D Convolutional Neural Network (3D CNN) has been a hot topic in deep learning research over the last few years and has made great achievements in computer vision. Despite years of research and abundant results, a comprehensive and detailed review of...
Abstract: To deal with the weight degradation and sample impoverishment problems of particle filter, a Particle Filter based on Harris Hawks Optimization improved by Encircling strategy (EHHOPF) is designed. Firstly, the global search strategy in Harris Hawks ...