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Cup-Net: Compressed Ultrafast Photography Using Convolutional Neural Networks, Matthew Parker 2020 Dartmouth College

Cup-Net: Compressed Ultrafast Photography Using Convolutional Neural Networks, Matthew Parker

ENGS 88 Honors Thesis (AB Students)

Compressed ultrafast photography (CUP) is a cutting-edge imaging technique that uses a variation of the traditional streak camera to obtain video at 100 billion frames per second with a single exposure. In order to achieve this level of temporal detail, CUP leverages compressed sensing (CS). Compressed sensing theory states that a compressed representation of an image can be directly acquired using a non-adaptive measurement matrix so long as the encoding matrix follows certain properties such as restrictive isometry and incoherence. This compressed representation of the original scene can later be reconstructed back into the original form. CUP applies CS by …


Perfect Recovery (2,N) Color Visual Cryptography Scheme, Xianhuan Zhang, Zhengxin Fu, Ouyang Dan, Bin Yu 2020 1. Information Engineering University, Zhengzhou 450000, China;;

Perfect Recovery (2,N) Color Visual Cryptography Scheme, Xianhuan Zhang, Zhengxin Fu, Ouyang Dan, Bin Yu

Journal of System Simulation

Abstract: Based on XOR operation and combining the characteristic of computer display technology, a perfect recovery (2,n) color visual cryptography scheme was proposed. Sharing algorithm of color secret image was designed on the basis of constructing row vectors${{V}_{1}},{{V}_{2}},\cdots ,{{V}_{n}}$. Through computing shares by XOR operation and dealing with recovery image, the secret image was recovered. The experimental results show that the scheme on the basis of keeping the simplicity in the reconstruction phase of visual cryptography can realize the secret image perfect recovery with low pixel expansion for price. Each participant only needs to carry a share …


Optimization Sensing Slot Under Transmission Collision Of Primary User And Secondary User In Cognitive Radio System, Chen Song, Nae Zheng, Wang Sheng 2020 School of Navigation and Aerospace Object Engineering, Information Engineering University, Zhengzhou 450001, China;

Optimization Sensing Slot Under Transmission Collision Of Primary User And Secondary User In Cognitive Radio System, Chen Song, Nae Zheng, Wang Sheng

Journal of System Simulation

Abstract: In the cognitive radio system, that the primary user (PU) has collision with the secondary user (SU) when the secondary user (SU) was detected properly was considered. The queuing theory was introduced and the PU’s appearance pattern was described by M/M/1 model. Considering the length of the transmitting slot, detection probability and transmitting collision, the function of spectrum usage and transmitting time were established based on the PU’s appearance pattern. The existence of the maximum value of spectrum usage in the definition domain of the transmitting time was proved by theoretical derivation in some condition. The simulation results provide …


Online Identification And Simulation Of Multiple Model Based On Minimum Entropy Clustering, Xiaopeng Zhao, Yongchun Zhang 2020 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;;

Online Identification And Simulation Of Multiple Model Based On Minimum Entropy Clustering, Xiaopeng Zhao, Yongchun Zhang

Journal of System Simulation

Abstract: An online identification algorithm for multiple model based on minimum entropy clustering was investigated. The number of local models and corresponding weights was calculated by the entropy based fuzzy subtractive clustering approach, and the regularity degree of the local system was considered along with the clustering process. Parameters of local models could be estimated online by the weighted recursive least square method. The waste heat recovery Organic Rankine Cycles system was used to demonstrate the algorithm. The result shows the identified multi-model not only can reach an accuracy and reliability identification result, but also has a stronger self-adaptability …


Study On Tracking Filter Algorithms For Nonballistic Targets In Near Space, Yajie Cao, Junlong Li, Qin Lei 2020 1. Unit 95899 PLA, Beijing 100085, China;;2. The Second System Design Department of the Second Research Academy of CASIC, Beijing 100854, China;

Study On Tracking Filter Algorithms For Nonballistic Targets In Near Space, Yajie Cao, Junlong Li, Qin Lei

Journal of System Simulation

Abstract: Recently, different countries made rapid developments in the field of hypersonic aircraft in near space. The successful flight tests of hypersonic aircraft X-51A and HTV-2 were representative.They adopted the way of nonballistic maneuver flight whose motion trajectory was characterized by “hopping”, which existed the problems of difficulties of nonballistic target acceleration estimation, trajectory tracking and prediction. Four typical nonballistic maneuver models of near space targets of tracking filter are introducedand then target ballistic equation and design of tracking filter are introduced. At last, an estimation of four tracking filter ways is maken towards target acceleration. The effect of particle …


Scheme For Detecting Dos Attack In Bluetooth Low Energy, Qilin Wang, Yicai Huang, Bin Yu 2020 PLA Information Engineering University, Zhengzhou 450000, China;

Scheme For Detecting Dos Attack In Bluetooth Low Energy, Qilin Wang, Yicai Huang, Bin Yu

Journal of System Simulation

Abstract: Aiming at the problem that Bluetooth Low Energy is vulnerable to DoS Attack, an alive degree model combining entropy theory was established. Bluetooth Low Energy DoS Attack detecting scheme based on this model was designed. The scheme chose some elements to construct alive volume, which showed the stable distribution in normal communications, and the distribution was destroyed when subjected to DoS attacks. Using alive degree to reflect the distribution of alive volume, the DoS Attack was detected via the variation of alive degree. The theory analysis and experiment results show that, the scheme can effectively detect the DoS Attack …


Research On Pedestrian Crossing Road Skills Assist Training System Based On Game Model, Meiliang Wang, Huagen Wan, Jianping Gu 2020 1. Lishui University, Lishui 323000, China;;

Research On Pedestrian Crossing Road Skills Assist Training System Based On Game Model, Meiliang Wang, Huagen Wan, Jianping Gu

Journal of System Simulation

Abstract: With the rapid growth of number of family cars in China, there are more and more road accidents, so pedestrians will undoubtedly become the biggest victims in the accidents. Thus it is of great significance to develop a road training system that is able to improve the ability of the pedestrians to process the integrated information of the traffic flow, and reduce the risk of pedestrian in accidents when crossing the roads. Based on the key researches on dynamic virtual traffic scene, human-computer interaction and virtual objects collision detection, with the application of technology of virtual reality and 3 …


Design Of Ble Key Agreement Scheme Based On Hash Chain, Yibo Huang, Yicai Huang, Bin Yu 2020 PLA Information Engineering University, Zhengzhou 450004, China;

Design Of Ble Key Agreement Scheme Based On Hash Chain, Yibo Huang, Yicai Huang, Bin Yu

Journal of System Simulation

Abstract: Aiming at the problem that BLE Secure Simple Pairing protocol is vulnerable to eavesdropping and man-in-the-middle attacks, a BLE key agreement scheme based on hash chain was proposed. The scheme realized mutual authentication and link key agreement applying the unidirectivity and crashworthiness of hash chain. Update mechanism of the hash chain was designed to prevent from reuse of hash chain node values. The security analysis of BAN logic and experiment results show that, the scheme can effectively resist eavesdropping and man-in-the-middle attacks. Meanwhile, it has low storage and computation overheads.


Study On Effects Of T-Spur-Dikes On Flow Characteristics In 90° Bend Channel By Large Eddy Simulation, Wenli Wei, Panpan Li, Shipeng Shao, Yuling Liu 2020 Institute of Hydraulic Engineering, Xian University of Technology, Xi’an 710048, China;

Study On Effects Of T-Spur-Dikes On Flow Characteristics In 90° Bend Channel By Large Eddy Simulation, Wenli Wei, Panpan Li, Shipeng Shao, Yuling Liu

Journal of System Simulation

Abstract: In order to solve the problems of river erosion at concave bank and of sediment deposition at convex bank in actual bend rivers, the 3D hydraulic characteristics of bend channel with spur-dikes must be studied. The gas-liquid two-phase large eddy model was used to numerically simulate the hydraulic characteristics of flow in a 90° bend channel with a spur-dike. Comparisons of the simulated longitudinal velocity with the experimental data show a good agreement, which indicates that the large eddy model is an effective way to study the hydraulic characteristics of bend channels. The analysis of the distribution of velocity …


Robustness Research For Adaptive Control Algorithms Of Pipe Conveying Fluid Vibration, Chen Bing, Yuanyuan Huang, Zhongjun Yin 2020 School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, China;

Robustness Research For Adaptive Control Algorithms Of Pipe Conveying Fluid Vibration, Chen Bing, Yuanyuan Huang, Zhongjun Yin

Journal of System Simulation

Abstract: Pipes with supported ends may lose their dynamic stability due to parametric instability when they convey pulsating fluid. the piezoelectric actuators were taken as the control actuators, and built a controlling mathematical model of the pipeline system. Then aiming at the traditional PID controller’s poor robustness on pipeline system parameters, MRAC system and MRAC system based on adaptive gain of the PD were designed on the basis of Lyapunov stability theory, not only the vibration peak values of the pipeline system were suppressed in a short time, but also the controllers had better robustness on pipeline system parameters. Control …


Sybil Attack Detection Scheme Design In Zigbee Network, Meigen Huang, Bin Yu, Zhiyin Kong 2020 1. PLA Information Engineering University, Zhengzhou 450004, China;;

Sybil Attack Detection Scheme Design In Zigbee Network, Meigen Huang, Bin Yu, Zhiyin Kong

Journal of System Simulation

Abstract: Aiming at the problem of Sybil which attacks and destroys the resource allocation, routing discovery and data aggregation in ZigBee network, a scheme to detect Sybil attacks was proposed. The scheme established a doubt mechanism of Sybil node to mark child nodes in the same location as well as communication distance inconsistent geographical distance. The scheme designed a identified processes of Sybil node via father joint legal neighboring nodes transmitting a random number to the suspected Sybil nodes on different channels simultaneously, identifying Sybil nodes by its correctness. Safety analysis and experiment results show that the proposed scheme has …


Research On Simulation Optimization Of Container Terminal’S Machinery Configuration, Zhaohui Duan, Bingliang Song 2020 1. School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China;;2. Shanghai International Port (Group) Co. , Ltd. , Shanghai 200080, China;

Research On Simulation Optimization Of Container Terminal’S Machinery Configuration, Zhaohui Duan, Bingliang Song

Journal of System Simulation

Abstract: The optimization of the machinery allocation under the double constraints of maximized efficiency for loading and unloading processes and optimal machinery usage, and the optimal configuration of bridge cranes under discrete operation modes for a single ship were instigated through modeling with the simulation software Extendsim. It was found that the real-time recording method is a more straightforward and convenient way to investigate the optimal mechanical configuration and double constraints lead to different but more reasonable results than that was obtained under the single constraint on the best mechanical configuration. Due to the discrete characteristics of the bridge crane …


Parameter Identification Of Induction Motor Based On Tabu-Chaotic Firefly Algorithm, Xiaoyang Xu, Wang Yan, Zhicheng Ji 2020 Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;

Parameter Identification Of Induction Motor Based On Tabu-Chaotic Firefly Algorithm, Xiaoyang Xu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to overcome the defects of traditional induction motor parameter identification methods such as identifying less parameters simultaneously and Low identification accuracy. A multi-parameters identification method based on Tabu-chaotic Firefly Algorithm was proposed. The proposed method can simultaneously identify the stator resistance, stator inductance, rotor time constant and mutual inductance without prior knowledge about the parameters. For the sake of improving the identification accuracy, the formula of attractiveness in original Firefly Algorithm was adjusted, furthermore chaos theory and the idea of Tabu Search was integrated into the algorithm. Simulatied experimental results demonstrate that compared to the other …


Numerical Investigation Of Water-Exit Cavity Flow Of Missile With Complex Configuration, Chongxian Zhang, Xianglin Li, Yuqiu Liu 2020 The Second Academy of CASIC, Beijing 100854;

Numerical Investigation Of Water-Exit Cavity Flow Of Missile With Complex Configuration, Chongxian Zhang, Xianglin Li, Yuqiu Liu

Journal of System Simulation

Abstract: Based on Zwart-Gerber-Belamri cavitation model, a numerical calculation method of cavitating flow of water-exit missile with complex configuration was proposed. The influence of velocity of water-exit and angle of attack to cavitation of parts of missile was analyzed. The simulation results showed that in the beginning of water-exit course, body-attached bubble quickly grew due to reduction of cavitation number. After that, the effect of bubble break-off and oscillation became more obvious. In water-exit course of zero angle of attack, the length and thickness of bubble of shoulder increased linearly with velocity. The ability of the protrusion to induce …


Airborne Weather Radar Visual Simulation Based-On Dynamic Satellite Cloud Image, Zhang Jun 2020 School of Digital Media, Jiangnan University, Wuxi 214122, China;

Airborne Weather Radar Visual Simulation Based-On Dynamic Satellite Cloud Image, Zhang Jun

Journal of System Simulation

Abstract: A real-time simulation algorithm was proposed to generate a wide range of the common aviation weather condition for the flight simulator based-on a set of dynamic satellite cloud images. With this efficient weather simulation algorithm, a fast radar echo visual simulating method was proposed. The proposed method used the 2D simplified Navier-Stokes and microphysics equations to implement the essential numerical simulation of the aviation weather condition. By this way, the complex problem of large-scale cloud resolving and particle-backscattering computing could be viewed as a simple 2D multi-resolution image processing. Real application on the flight simulator shows that the …


Name-Embedded Couplet Creation Based On Mobile Platform, Weihua Shen, Shicheng Zhang, Shunting Wang, Zhigeng Pan 2020 1. Lishui University, Lishui 323000, China;;

Name-Embedded Couplet Creation Based On Mobile Platform, Weihua Shen, Shicheng Zhang, Shunting Wang, Zhigeng Pan

Journal of System Simulation

Abstract: Couplet culture is the crystallization of Chinese traditional culture, and also is the gem of Chinese language. Given the broad mobile intelligent terminal user groups, in order to inherit and carry forward the Chinese traditional culture, Android and iOS system were taken as the design platform, combining the couplet culture and modern science and technology in an organic whole based on the study of name-embedded couplet generation algorithm. The users were allowed to get personalized couplet belong to themselves conveniently and quickly by mobile platform. The name-embedded couplet creation software was expounded in the following areas: design concept, …


Hybrid Quantum-Behaved Particle Swarm Optimization Algorithm For Solving Mould Job Shop Scheduling Problem, Zhou Kai, Wang Yan, Zhicheng Ji 2020 Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;

Hybrid Quantum-Behaved Particle Swarm Optimization Algorithm For Solving Mould Job Shop Scheduling Problem, Zhou Kai, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Quantum-behaved particle swarm optimization has better performance compared with particle swarm optimization, but it still has the problem of getting trapped into local optimum with premature convergence. According to the above problem, a hybrid algorithm included quantum-behaved particle swarm optimization and bat algorithm was proposed. On the one hand, the random walk strategy of bat algorithm was used to avoid getting into local optimum, on the other hand, the speed changing of bats’ sound was learned to transform the factor of quantum-behaved particle swarm optimization. The proposed algorithm was tested on five benchmark functions and a mould job shop …


Study On Model-Based Visual Servoing With Reconstructed 2d Features, Guoliang Zhang, Jixiang Du, Zhanni Wang, Wang Tian 2020 Computer Science and Technology Institute, Huaqiao University, Xiamen 361021, China;

Study On Model-Based Visual Servoing With Reconstructed 2d Features, Guoliang Zhang, Jixiang Du, Zhanni Wang, Wang Tian

Journal of System Simulation

Abstract: To overcome the defect of camera retreat in image based visual servoing, a model-based visual servoing incorporated 2D image based visual servoing with 3D features was proposed. The robot visual servoing model was established by altering traditional two dimensional feature to three dimensional features based on traditional IBVS control structure. Furthermore, combined with the Simulink software, simulation model was established and motion characteristics of two methods were analyzed and compared in image space and Cartesian space. The experiment results confirm the feasibility and effectiveness of the proposed method.


Stochastic Kriging For Random Simulation Metamodeling With Known Uncertainty, Wang Bo, Gea Haechang, Junqiang Bai, Yudong Zhang, Gong Jian, Weimin Zhang 2020 1. Research and Development Center, China Academy of Aerospace Aerodynamics, Beijing 100074, China;;2. Department of Mechanical and Aerospace Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;;

Stochastic Kriging For Random Simulation Metamodeling With Known Uncertainty, Wang Bo, Gea Haechang, Junqiang Bai, Yudong Zhang, Gong Jian, Weimin Zhang

Journal of System Simulation

Abstract: Uncertainty-based design has been widely carried out these years. In order to deal with the problems with large amount of calculation, a stochastic kriging for random simulation metamodeling with known uncertainty was derived, which firstly included intrinsic uncertainty in metamodel initial formulation to fully account for inputs uncertainty, and then incorporated the correlationships of intrinsic uncertainty among all observed points. Several examples with known uncertainty were also conducted, in which the proposed method shows much better variance predictions than other similar methods. Simulation results show the proposed method is a more general form of kriging, which can also …


Improved Dv-Hop Localization Algorithm Based On Average Hopping Distance And Position Optimization, Zhipu Zhao, Wu Dong, Wang Yan, Zhicheng Ji 2020 Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;

Improved Dv-Hop Localization Algorithm Based On Average Hopping Distance And Position Optimization, Zhipu Zhao, Wu Dong, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To overcome the low positioning accuracy caused by the imprecise estimated distance and the accumulative location error, an improved DV-Hop localization algorithm based on Wireless Sensor Network was proposed. This method, taking the summation of the beacon node average jump distance based on the weighted error correction as its average distance, was used to reduce the average jump distance error. Besides, an improved least square method was used to process the accumulative location error. The simulation results show that the improved localization algorithm performs greatly better, both in distance estimation and positioning accuracy, than the traditional DV-Hop localization algorithm, …


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