We study distributed filtering for a class of uncertain systems over corrupted communication channels. We propose a distributed robust Kalman filter with stochastic gains, through which upper bounds of the conditional...
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To deal with the junk e-mail problem caused by the e-mail address leakage for a majority of Internet users, this paper presents a new privacy protection model in which the e-mail address of the user is treated as a pi...
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To deal with the junk e-mail problem caused by the e-mail address leakage for a majority of Internet users, this paper presents a new privacy protection model in which the e-mail address of the user is treated as a piece of privacy information concealed. Through an interaction pattern that involves three parties and uses an e-mail address code in the place of an e-mail address, the proposed model can prevent the e-mail address from being leaked, thus effectively resolving the junk e-mail problem. We compare the proposed anti-spam method with the filtering technology based on machine learning. The result shows that 100% spams can be filtered out in our scheme, indicating the effectiveness of the proposed anti-spam method.
As one of the important tasks in computer vision, target detection has become an important research hotspot in the past 20 years and has been widely used. It aims to quickly and accurately identify and locate a large ...
As one of the important tasks in computer vision, target detection has become an important research hotspot in the past 20 years and has been widely used. It aims to quickly and accurately identify and locate a large number of objects of predefined categories in a given image. According to the model training method, the algorithms can be divided into two types: single-stage detection algorithm and two-stage detection algorithm. In this paper, the representative algorithms of each stage are introduced in detail. Then the public and special datasets commonly used in target detection are introduced, and various representative algorithms are analyzed and compared in this field. Finally, the potential challenges for target detection are prospected.
Under the background of massive computing resources in power grid, smart grid has become the direction and trend of power industry development. In order to ensure the safe and stable operation of smart grid, the monit...
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Considering the carbon emission reduction and energy saving, the electric vehicles (EVs) have been identified as a promising alternative to classical fossil fuel-driven vehicles. Consequently, the Electric Vehicle Rou...
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Considering the carbon emission reduction and energy saving, the electric vehicles (EVs) have been identified as a promising alternative to classical fossil fuel-driven vehicles. Consequently, the Electric Vehicle Route Planning with Recharging (EVRC) problem extends traditional routing problems to take the limited capacity of the vehicle's battery into consideration. In order to avoid the depletion of battery, planned detours should be introduced to recharge the battery. As the previous research works mainly focused on the three assumptions: (1) EVs will be fully charged when they get a CS; (2) The charging time rises linearly as the battery charge level ascends;(3) Serve time is not considered in the whole process. However, in the actual situations, the location of the used charging stations and the amount of charge are decision variables. In addition, the charging function is not linear. In this work, we propose an integrated route and charging planning for EVs, and take partial charging, nonlinear charging functions as well as serve time into consideration. The experimental result shows that it leads to infeasible or excessively costly solutions when the serve time and the features of partial and nonlinear charging process are ignored.
The double-capacity tank liquid level system has the characteristics of inertia, time delay and nonlinearity. Many practical industrial objects can be abstracted as the tank model to describe their working characteris...
The double-capacity tank liquid level system has the characteristics of inertia, time delay and nonlinearity. Many practical industrial objects can be abstracted as the tank model to describe their working characteristics. Graphical techniques are widely used to assist in representing dynamic system models, while linear graphs represent the internal relationships between components in a system. According to the linear graph modeling theory, this paper takes the double-capacity water tank as the research object, and establishes the mathematical model of the tank liquid level control system. Then simulate the system on this basis, and the transfer function of the system is obtained based on the state space equation, the correctness of the transfer function is verified by the equivalent impedance method. The simulation results show that the modeling of linear graph theory can ensure that the model can better reflect the true characteristics of the system.
Graphical passwords (GPWs) are in many areas of the current world, in which the two-dimensional code has been applied successfully nowadays. Topological graphic passwords (Topsnut-gpws) are a new type of cryptography,...
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Load Frequency control (LFC) is the main problem of power networks which outcomes because of mismatch between real power generation and consumption as the power consumption changes every period. therefore, the frequen...
Load Frequency control (LFC) is the main problem of power networks which outcomes because of mismatch between real power generation and consumption as the power consumption changes every period. therefore, the frequency of the power system may not be at rated value resulting in power quality problems. Hence, the aim of LFC is to reduce the transient changes of area frequency and tie-line power transfer maintaining them at steady state. Moreover, the external disturbances and uncertainty factors, as well as parameters of the power system, causes a big problem for controller design in LFC. Therefore, this research describes a comparative consideration for Active Disturbance Rejection control (ADRC) based LFC as an operational control strategy, which requires few information from the plant model and being robust against disturbances and uncertainties. Two intelligent controllers Particle Swarm Optimization (PSOA) Algorithm, Bacterial Foraging Optimization (BFO) mechanism are used for tuning Proportional Integral Derivative (PID) controller based LFC to acquire optimal values, taking into consideration single-area power system. The simulation results exhibit that the ADRC can obtain better performance than PID tuned by BFO and PSO in terms of frequency deviation and settling time.
Heterogeneous cellular networks (HCNs) with millimeter wave (mm-wave) communications are considered as a promising technology for the fifth generation mobile networks. Mm-wave has the potential to provide multiple gig...
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Objective Secure communication based on chaotic lasers has gained significant attention in recent years due to its high speed and compatibility with existing fiber-optic networks. Vertical-cavity surface-emitting lase...
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Objective Secure communication based on chaotic lasers has gained significant attention in recent years due to its high speed and compatibility with existing fiber-optic networks. Vertical-cavity surface-emitting lasers (VCSELs) are promising candidates, offering a compact structure and low power consumption. However, VCSELs are constrained by chaotic bandwidth limitations induced by relaxation oscillations, which reduce the secure transmission rate. Existing methods for broadening the chaos bandwidth often rely on complex external perturbations, which may hinder system synchronization. We propose a simplified method for generating broadband chaos by utilizing the relaxation-oscillation-free polarization mode of VCSELs. Methods We present a novel approach for generating broadband chaos by utilizing the relaxation-oscillation-free polarization mode of VCSELs. The experimental setup (Fig. 1) employs a custom single-mode VCSEL with a wavelength of 1550 nm and no internal isolator. The laser is powered by a low-noise current source and is equipped with precise temperature control to ensure stable operation. Optical feedback is provided via a fiber mirror, with its intensity regulated by a variable optical attenuator. Polarization controllers are used to align the feedback polarization, directing X mode feedback to the X mode and Y mode feedback to the Y mode. The output signals are separated into X+Y, X, and Y modes using polarization beam splitters. The spectral, temporal, and dynamic properties of the VCSEL are analyzed using an optical spectrum analyzer, a high-speed oscilloscope, and an electrical spectrum analyzer. Key parameters, including bias current and feedback strength, are systematically varied and optimized to investigate their effects on chaos generation, with the aim of identifying the optimal conditions for achieving broadband chaos with the desired characteristics. Results and Discussions We begin with an in-depth analysis of the free-running VCSEL to e
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