Electronic Spam Filtering Based On Neural Networks,
2020
SIC ICT of TUIT, Tashkent, Uzbekistan, E-mail: [email protected], Phone: +998 71 234 07 92;
Electronic Spam Filtering Based On Neural Networks, Tulkun Fayzievich Bekmuratov, Fayzullajon Bakhtiyorovich Botirov, Elshod Dilshod Ugli Haydarov
Chemical Technology, Control and Management
This article analyzes the problem of filtering spam messages and addressing spam messages, Bayesian theorems based on artificial intelligence, LVQ algorithms (LVQ learning vector quantization) and a filtering scheme for systems based on neural networks. The direct construction of an effective neural network model of spam filtering using database recognition technology is considered. The parameters of access to the neural network how to include predefined statistical and non-statistical attributes of messages are given. The structure of neural network technology for classifying emails is also considered. The procedure for analyzing incoming data using the tool included in the analytical platform Deductor …
Image Processing Of Technological Objects,
2020
Ph.D., Associate Professor, Tashkent University of Information Technology named after Muhammad Al Kwarazmi, Tashkent, Uzbekistan Phone: 93-5535563, E-mail: [email protected]
Image Processing Of Technological Objects, Lyudmila Petrovna Varlamova
Chemical Technology, Control and Management
The article considers the problem of creating a smoke detection and fire detection system for technological objects. Fire detection is carried out using a vision system. Monitoring of technological objects is carried out using an unmanned aerial vehicle. For further actions, processing and classification of images is necessary. When observing the technological apparatuses of the chemical and petrochemical industry, problems arise associated with the large size, distribution and extent of objects. There may be situations in which there are violations of the technological regulations and, as a result, the occurrence of fire, fire and smoke. Using the technology of unmanned …
Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems,
2020
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Address: 108, Amir Temur st., 100200, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-91-162-42-70.
Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems, Sherzod Sayfullaev
Chemical Technology, Control and Management
In this paper, the methods of information protection in bio systems are studied. The paper considers the use of intelligent tools in information security systems and the use of adaptive information security systems. Several articles on the field of information protection in bio systems are analyzed. Disadvantages and advantages of neural network technologies in modern information security systems are described. The characteristics of bio systems and the specificity of DNA, the main features of the DNA code that provide information security and functional stability of bio systems data protection structure. Application of intelligent tools to create a comprehensive adaptive protection …
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation,
2020
1.Dongguan Polytechnic, DongGuan 523808, China;;
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong
Journal of System Simulation
Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …
Sliding Weighted Least Square Model For Short-Term Wind Power Prediction,
2020
1. State Grid Liaoning Electric Power Supply Co., Ltd, Shenyang 110004, China;;
Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai
Journal of System Simulation
Abstract: A new approach for wind power forecasting was proposed based on sliding window weighted recursive least squares for the defect of wind power short-term prediction in the traditional prediction methods. The historical data was weighted and the perturbation caused by the historical data was ruled out in this method, which focused on the current data on the result of prediction. This made the model have the adaptability to the change of the environment data. The harmony search algorithm was used to optimize the orders and the parameters of the predict model, which could improve the precision and accuracy of …
Modeling Computation Entity Of Cps Based On Dynamic Behavior,
2020
School of Computer Science and Technology, China University of Mining Technology, Xuzhou 221116, China;
Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu
Journal of System Simulation
Abstract: The Cyber-Physical System (CPS) has been highly concerned since it was proposed. However, the key of creating a good CPS system critically depends on the prophase design of the system model. Currently, it has become the focus and difficulty of research at home and abroad that models a CPS system with comprehensive, robustness, security. According to the previous studies, the CPS system was divided into computing entity, physical entity and control entity. A modeling method of computation entity of CPS was provided, which is DBM-UML (Dynamic behavior modeling-UML). With this method, an analysis of the entire system's structure …
Method For Network Security Reinforcement Based On Gscpn Model,
2020
1. The Department of Information Operation & Command Training, NDU of PLA, Beijing 100091, China;;2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450002, China;
Method For Network Security Reinforcement Based On Gscpn Model, Gao Xiang, Liu Yang, Xiaoyuan He
Journal of System Simulation
Abstract: In order to improve the security of networks in whole, a method of making strategies for the network security reinforcement based on Generalized Stochastic Colored Petri Net was proposed. The concepts of host node utilization index and host node key degree were introduced, which enabled the vulnerable nodes that needed repairing sorted by the value of host node key degree. On this basis, security level of the target network was increased by the reinforcement according to the principle of maximum node key degree first. The network instance further validates that the proposed method for network security reinforcement is …
Object Tracking Method Based On Superpixel And Local Sparse Representation,
2020
Physics and Optoelectronic Engineering College, Xiangtan University, Xiangtan 411105, China;
Object Tracking Method Based On Superpixel And Local Sparse Representation, Huixian Yang, Liu Zhao, Liu Yang, Liu Fan, Dilong He
Journal of System Simulation
Abstract: Due to the appearance changing of target object in object tracking, a tracking algorithm was proposed based on superpixel and local sparse representation (SPS). In training process, a discriminative appearance model was constructed by clustering the segmented train images; sparsity-based histogram of target object was calculated to construct generative appearance model. In tracking, superpixel-based confidence map was obtained, and the confidence values of candidates was sampled and calculated; the similarity between sparsity-based histogram of candidates and target template was computed by using local patches. Then motion model and observation model of candidates according to the confidence values and …
Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning,
2020
College of Mathematics and Information Science, Langfang Normal University, Langfang 065000, China;
Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning, Yeqin Cui, Jianguo Gao
Journal of System Simulation
Abstract: Existing subspace learning-based face recognition methods assume the same loss from all misclassifications. In the real-world face recognition applications, however, different misclassifications can lead to different losses. Motivated by this concern, a cost-sensitive supervised manifold learning approach for face recognition was proposed. The proposed approach incorporated a cost matrix to specify the different costs associated with misclassifications of subjects, into locality preserving projection algorithm, which devised the corresponding cost-sensitive methods, namely, cost-sensitive locality preserving projections (Cos-Sen LPP), to achieve a minimal overall loss. Three face databases were put into the experiments and experimental results show that Cos-Sen LPP method …
Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot,
2020
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot, Xiaohong Zhang, Yungang Jin
Journal of System Simulation
Abstract: For the algorithm of under-determined blind separation’s result becomes worse as the increasing number of tags, causes the decline of the overall system performance or other issues, a novel parallelizable identification anti-collision algorithm based on NMF and framed-slot was proposed. The number of tags in each slot can be controlled within the optimum range by selecting the reasonable number of slots, remained the best condition of the RFID system. Compared with the Blind Separation and Dynamic Bit-Slot Group (BSDBG) algorithm using the same multi-antenna technology, the simulation results show that the tag identification rate improves from 180% to 389% …
Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor,
2020
1. Anhui Mine Electromechanical Equipment Cooperative Innovation Center, Anhui University of Science and Technology, Huainan 232001, China;;2. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China;
Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor, Kun Hu, Wang Shuang, Yongcun Guo, Deyong Li
Journal of System Simulation
Abstract: On the basis of reasonable assumptions, lateral force mathematical model of permanent magnetic levitation belt conveyor maglev support system was simulated. The simulation results showed that conveyor lateral force and offset could have a monotonically increasing relationship. If the belt shifted, it would cause an increase in lateral force, which could cause conveyor belt further deviation. The traditional physical anti-deviation measures couldn’t apply to non-contact suspension support. In order to effectively solve the permanent magnetic levitation belt conveyor deviation problem, an automatic offset device was designed and the corresponding control strategy was proposed. The value of the lateral …
Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation,
2020
1. Equipment Engineering College, Engineering University of CAPF, Xi'an 710086, China;;
Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation, Hongwei Zhuang, Dehai Xiang, Fadong Zhao, Weiwei Zhuang
Journal of System Simulation
Abstract: Aiming at the serious heat accumulation problem to soldiers’ head and face while wearing anti-riot helmets in high temperatures, a 3D model of human head and an anti-riot helmet were established based on CT image data and GA294-2012 Standard of Anti-riot Helmet. The Pennes bio-heat transfer equation was chosen as the control equation, then a "head-helmet" heat transfer model was built. On the platform of ANSYS-Fluent software, the three-dimensional thermal process of "head-helmet" system were numerically simulated. And on the basis the influence brought from anti-riot helmet shell material, buffer layer material and vent hole to head facial …
3d Dynamic Simulation Of Dual Wedge Scanning Imaging System,
2020
1. National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation,Huazhong University of Science and Technology, Wuhan 430074, China;;
3d Dynamic Simulation Of Dual Wedge Scanning Imaging System, Ma Jie, Yu Wei, Zhiwei Zhou, Wenxiu Yang, Xuegang Wu
Journal of System Simulation
Abstract: Dual wedge scanning is a broad prospect method of next generation Laser imaging system. Due to the unique scanning mode and imaging characteristics, data of dual wedge Laser imaging system is sensitive to parameters and environment, and it is significant in both theory and application to research its feature of time and space. Based on the imaging principle of dual wedge scanning, the dynamic imaging process was modeled and a simulation system in three-dimensional environment was designed. Based on the imaging principle of dual wedge scanning, the dynamic imaging process was modeled and a simulation system in three-dimensional environment …
Dynamic Design For Vibratory Compaction System Basing On Chaos Identification,
2020
1. Department of Mechanical Engineering, Fujian Chuanzheng Communications College, Fuzhou 350007, China;;
Dynamic Design For Vibratory Compaction System Basing On Chaos Identification, Peihui Shen, Shuwen Lin
Journal of System Simulation
Abstract: According to the shortage of traditional design method and the fact that the effects of nonlinear chaotic vibration on human health were ignored in the research of compaction system, a dynamic design method basing on chaos identification was proposed. A two degree of freedom dynamic model was established and the bifurcation diagrams were described for vibratory compaction system. The dynamic responses of the system were analyzed in the cases of three different soil parameters representing the early, medium and later stage of compacted material. Research shows that, selecting the ratio of the frame quality and the vibration wheel quality …
Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance,
2020
No.91336 Troop of PLA, Qinhuangdao 066000, China;
Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun
Journal of System Simulation
Abstract: Aiming at simulation test requirement for Radar/IR dual mode compound guidance seeker, the HWIL simulation system for dual mode compound guidance based on parallel simulation was designed in detail, the key technology design was studied mainly, which consists of control mode and control relation, compound guidance information fusion and decision-making design, and parallel simulation Space and Time Consistency. The simulation model of parallel simulation system, missile attitude motion error model and target space error model were built for the Space and Time Consistency analysis. The simulation results show that simulation test and evaluation application requirement is satiable, and …
Viability Of Augmented Reality For Machine Maintenance,
2020
University of Arkansas Little Rock
Viability Of Augmented Reality For Machine Maintenance, Wesley Robert Ferguson
Theses and Dissertations
Augmented reality has come a long way in the past decades in the manner of reduced costs and increased reliability. Despite these developments, there is still a difficulty bridging the gap between practical use and pure theory. This work explores if the current state of augmented reality is at a stage that can be utilized to implement solutions for heavy machinery maintenance routines by exploring the quality of education from augmented reality applications, capturing said maintenance routines for our own system, then replicating them in an augmented reality application with consumer grade equipment.
Method For Modulation Recognition Of Radar Signals In Complex Environment,
2020
1. School of Electronic Engineering, Xidian University, Xi'an 710071, China;;2. School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin
Journal of System Simulation
Abstract: As the increasing application of intra-pulse modulations, modulation recognition of radar signals becomes difficult in radar reconnaissance systems. Usually, there are multipath interferences along with the intercepted signal. The conventional methods become slowdown because of the multipath interferences. Aiming at radar signals in multipath channel, a feature extraction method was proposed based on higher order ambiguity function (AF) and singular vector decomposition, adopting the linear support vector machine (SVM) classifier to determine the types of the intercepted radar signals. Theoretical analysis and simulation results show that the proposed method has good ability to suppress the influence of multipath interferences …
Joint Optimization Control Of Energy Storage System Management And Demand Response,
2020
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;
Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping
Journal of System Simulation
Abstract: The joint optimization problem of energy management and demand response were studied in order to reduce the long-run cost of electricity users equipped with energy storage unit and smart applications, and to increase their benefits meanwhile. The goals were achieved by controlling both the energy storage unit (charging, discharging, or idle) and the load service (access or delay). Based on the random nature of solar photovoltaic, load demand electricity and electricity price, the joint optimization problem was modeled as infinite-horizon Markov decision process model, and Q-learning algorithm was proposed to find the optimal solution. Simulation results show that the …
Grid Side Power Factor Control Strategy For Matrix Converter,
2020
Anhui Science and Technology University, Fengyang 233100, China;
Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan
Journal of System Simulation
Abstract: Since input filter is usually ignored in the modulation strategy for matrix converter, only the input current of converter is controlled in the same phase with grid voltage. Phase advance of grid current will come about as a result of current of capacitor and the power factor of grid side will be reduced. To solve this problem, the mathematical model of matrix converter was analyzed and the relationship between the real power factor and parameters of the system was studied. A grid current closed-loop control strategy was proposed. As the control objective of the strategy, the grid current was …
Fluid Network Modeling Method Based On Theory Of Signal Flow Graph,
2020
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Fluid Network Modeling Method Based On Theory Of Signal Flow Graph, Zhang Yue, Han Pu
Journal of System Simulation
Abstract: The concept of signal flow graph was introduced into the mechanism modeling process to describe the fluid network. Various structures in the fluid network were classified as node and branch, and establish the algorithm relationship between node pressure and bransh resistance. Aiming at the characteristics of nonlinear and strong coupling of fluid network, the node pressure was expressed by Taylor series near the quiescent operation point using the linear model to describe the nonlinear network. A method was proposed which used the directed graph to improve the computational efficiency of the admittance matrix at the working point. Based on …
