Engineering Commons^™

Image Classification Based On Sparse Autoencoder And Support Vector Machine, Liu Fang, Lixia Lu, Hongjuan Wang, Wang Xin

Journal of System Simulation

Abstract: A new algorithm of image classification based on the sparse autoencoder and the support vector machine was proposed in view of the drawbacks that the single layer sparse autoencoder for feature learning is easy to lose the deep abstract feature and the features lack the robustness. The deep sparse autoencoder is constructed to learn each image layer and the feature of each layer is automatically extracted. The each feature weights and the reorganized set of feature are obtained according to the feature weighting method. By combining the strong global search ability of genetic algorithm and the excellent performance of …

Broadband 2-D Doa Estimation Based On Continuous Sparse Recovery, Chenxi Wu, Zhang Min, Keren Wang

Journal of System Simulation

Abstract: For the problem of two dimensional underdetermined direction of arrival (2-D DOA) estimation, three parallel sparse arrays are designed and a novel DOA method based on continuous sparse recovery is proposed. The dimension of received data is reduced and the cross covariance matrix is vectorized to improve freedom degree. According to the objection function of the minimization issue based on total variation norm constraint, the space frequency is achieved by solving corresponding dual problem. The center frequency, azimuth and pitch angles are paired by capon method. Theoretical analysis shows the proposed method has a higher array aperture extension and …

Multi-Objective Optimization Of The Main Circuit And Control Parameters Of The Buck-Boost Matrix Converter, Xiaoping Zhang, Wenhao Song, Hongping Zhu

Journal of System Simulation

Abstract: The optimization of main circuit parameters and control parameters of the Buck-Boost matrix converter has been investigated. The study takes the main circuit parameters and control parameters as optimization object and takes the harmonic distortion of output voltage, capacitance voltage deviation and inductance current deviation of the converter as optimization target. Firstly, multi-objective optimization satisfaction function is established correspondingly. Meanwhile, the fitness function is built and solved to achieve a set of optimizing parameters based on the fruit fly algorithm, which makes each optimizing target achieve synergistic optimal. Finally, the optimization effect is verified by simulation. The results show …

Inputting Strategy Simulation Of Multi-Ramp Coordinated Control Signal For Urban Expressway, Mingbao Pang, Zemin Xia, Yanhai Luan

Journal of System Simulation

Abstract: Based on the analysis of the driver's reaction when the urban expressway is in traffic jamming state and stated preference survey (SP) investigating, the key parameters' variation trends when the driving behavior adjusts and the possible path changing probability for a driver in each state are determined. A cellular automaton model of coordinated control section on urban expressway is established, where the driving behaviors are described accurately. The characteristics of traffic flow is discussed via the simulation experiments after inputting coordination control signals with different on-ramp numbers upstream of jamming point. The effects of each coordinated control modes on …

Open Circuit Fault Diagnosis Strategy For Switch Of Three Level Inverter, Yanxia Shen, Beibei Miao

Journal of System Simulation

Abstract: Fault diagnosis of switch is the premise of reliable operation of three-level-inverter under the fault of the switch. Taking simple open circuit fault of the diode neutral point clamped (NPC) three level inverter as an example, the open circuit fault diagnosis method based on the combination of online and offline diagnoses is proposed. The fault phase is detected by the mean value of the bridge arm phase voltages. In the time domain, the fault switch tube is diagnosed by the maximum and minimum values of the load phase voltages. In the frequency domain, the amplitude of the fault signal …

Gams-Based Active Power Optimization With Reactive Power Compensation, Weiqing Sun, Ye Lei, Yiyun Tu

Journal of System Simulation

Abstract: Based on the safe operation of the electric system, aiming at the problems of large power loss and high generation cost, it is unreasonable to schedule electricity through only one index, so a combined model of economic dispatch with reactive power optimization and a linearized model of unit commitment are proposed. The ideal point method changes multi-objective optimization problem which is combined with the generation cost and power loss into a single objective optimization problem and solved by GAMS. The case analysis for IEEE-39 bus system and a regional transmission network, by adjusting the generator active and reactive power …

Modeling And Analysis For Underwater High-Speed Supercavitaing Torpedo, He Zhen, Aiping Pang, Jinghua Wang, Fanwei Meng, Guangxiong Wang

Journal of System Simulation

Abstract: Supercavitation technology can significantly reduce skin-friction drag of underwater torpedo, and therefore dramatically increase the velocity and attack power of underwater weapons. Because the torpedo is almost entirely enveloped by a supercavity, the hydrodynamic problems of the high-speed supercavitating torpedo (HSST) are complex. The hydrodynamic forces acting on cavitator, fin, and the planing force along the longitude plane of the underwater HSST are analyzed. A benchmark nonlinear dynamics model of supercavitating torpedo is established based on the basic dynamic equations of the longitude plane, and the specific parameters of HSST are calculated. In the longitude plane the motion equation …

Stability Analysis Of Post-Fault Power Angle Based On Relevance Vector Machine, Haiying Li, Zhuocheng Xue

Journal of System Simulation

Abstract: Energy interconnection has become a hot topic in the current research.With the large-scale of new energy into the grid, the safe operation of power system is facing new challenges. On line fast stability analysis is one of the effective ways to solve this problem. Traditional power system transient safety analysis method is difficult to adapt to the on-line analysis, and the further development of large data processing and machine learning provides a new way of thinking. The classification model of relevance vector machine (RVM) based on Bayesian framework is used to design a kind of power angle classification strategy. …

Trust Model And Simulation Of E-Commerce Based On Social Networks, Yu Zhen, Zhu Jie, Guicheng Shen

Journal of System Simulation

Abstract: In the current e-commerce industry, users need to check for the historical evaluation of the commodity before buying goods mostly, but false recommendations and massive redundancy recommendation problem which widely exists at present seriously affect the effectiveness and accuracy of users’ obtaining recommendations. For getting trust in e-commerce transactions, an e-commerce trust model SNTrust based on social networks is proposed. In SNTrust model, each user maintains a trusted social network set; a topological structure of the user information diffusion in the social network is described in the model, and the recommendation node trust is introduced to measure its credibility, …

Quadrotor Attitude Control Based On An Improved Adrc, Wang Biao, Chaoying Tang, Daqing Kong

Journal of System Simulation

Abstract: An improved attitude control scheme for the quadrotor is proposed based on active disturbance rejection control (ADRC). The attitude dynamics of the quadrotor is modelled and analysed. The influence of actuator characteristics is discussed to establish an extended state observer (ESO). Based on it, the ESO is compensated by the delay unit and its discrete state equations are given. Nonlinear function of previous studies is used to construct nonlinear state error feedback (NLSEF). The simulation results show that the ESO with compensation of the delay unit gets better estimation of disturbance and compensates to disturbance better than the ESO …

Simulation And Experimental Verification Of Grinding Force Based On Different Directions Of Ultrasonic Vibration, Wang Yan, Qin Chen, Jianguo Liu, Shuiping Peng, Delin Li

Journal of System Simulation

Abstract: The method based on variable angle of ultrasonic vibration assisted grinding was put forward to identify the relationship between direction of ultrasonic vibration and grinding force. The trajectory of grit in contact zone was analyzed. The stress field of contact zone and the grinding force, which were based on the different directions of ultrasonic vibration, were simulated and analyzed by Deform-3D. A series of grinding experiments of GCr15 were conducted. It demonstrates that with the angle α increasing, the grinding force firstly decreased and then increased. The experiment results showed that the error of normal force is 5.23% and …

Modeling And Realization Of Acoustic Signal Separation Simulation System Based On Systemvue, Xiaorong Tong

Journal of System Simulation

Abstract: Aiming at the practical requirements of blind separation process of acoustic signals, a modeling method of acoustic signals separation simulation system based on SystemVue simulation platform is proposed according to specific mode of signal separation and acoustic sensor network layout in the practical work. It provides a novel signal separation algorithm based on signal single source detection which is the improvement of FastICA algorithm. It also can obtain the source acoustic signals without the information of signal source numbers. The SystemVue software is used to model the net of acoustic sensors, and the target simulation information is generated at …

Air Admission Feature And Discharge Coefficient Of Fixed Conical Valve, Chengbiao Tong, Zhixiong Zhou, Qiuxia Yan

Journal of System Simulation

Abstract: The complicated flow pattern is existent in fixed conical valve. When the high speed jet flowing near the diversion cone injects the sudden enlargement area, the severe vortex and evident negative pressure are generated. To reduce or eliminate the negative pressure area, the admission pipe should be installed. For clarifying the air admission and flow rule beyond air admission, a calculation mathematical model is built, the basic law of negative pressure generation and air admission is obtained; CFD is adopted to certify that the admission pipe is efficient to restrain the negative pressure; under air admission condition, the two-phase …

Improved Intelligent Water Drops Algorithm Applied To Power Economic Emission Dispatch, Wenqing Zhao, Zhibu Qin

Journal of System Simulation

Abstract: Multi-objective optimization for power economic emission dispatch aimed at minimizing the economic costs of power generation and gas emissions. To solve the problems of low search performance and easy to fall into local optimal solution with intelligent water drops algorithm for continuous optimization process, an improved intelligent water drops algorithm based on simulated annealing method was introduced. The improved algorithm had a better advantage in the number of iterations and the search for solutions. The proposed approach verified by Matlab simulation was applied to IEEE-30 bus test system with 6 generating units to solve the multi-objective optimization problem of …

Bi-Directional Dc-Dc Converter For Battery Energy Storage, Kun Xia, Xinwei Hong, Yuan Yin, Anghui Chen

Journal of System Simulation

Abstract: A topology of non-isolated bi-directional DC-DC converter is proposed. The converter adopts the synchronous rectifier half bridge buck-boost circuit as the foundation using the voltage and current double closed-loop control method to achieve the function of the lithium batteries charging and discharging. The working principles of the DC-DC converter are analyzed under the charging mode, discharging mode and parallel supply mode. The simulation model for the converter circuit is established in Matlab/Simulink circumstance and the system experiment is built. The simulation and experiment verifies the feasibility and the reliability of the converter. The simulation results show that …

In-Cylinder Process Simulation Of Swashplate Revoloving Cylinder Piston Engine Based On Fluid-Structure Interaction, Li Xin, Chengshi Yang, Peng Bo

Journal of System Simulation

Abstract: Using dynamic mesh technology, In-cylinder working process of the engine is detailedly designed in this article regarding the new swashplate revolving cylinder piston engine. We establish the numeral simulation model of the engine working process based on fluid-structure interaction, the pressure and temperature distribution of the In-cylinder gas in the six thermal process is obtained, and the temperature distribution of the hot end components is presented. The results show that the working process of the engine is reasonably organized. The biggest thermal load appears in the intake flow process. The wall temperature of the gas side is lower …

Numerical Simulation Of Thermal Properties Of Active Phased Array Antenna, Wang Yong, Ting Lu, Longwen Wu, Changwu Xiong, Weng Xia, Ping'an Du

Journal of System Simulation

Abstract: The grid priority modeling and multi-level meshing techniques are applied to analyze the thermal properties of the active phased array antenna with the micro/mini channels cooling method for simplifying modeling process, reducing the mesh quantity and saving the cost of computation effectively. The multi-level meshing technique can refine the mesh near the boundary of the complex components significantly without changing the mesh quantity in the model, which improves the mesh’s quality obviously. Through the thermal simulation and experiment measurement of the antenna, the temperature and pressure field are obtained. It is proved that the addressed approach can …

Abnormal Behavior Detection Via Super-Pixels Time Context Feature, Chen Ying, Dandan He

Journal of System Simulation

Abstract: In order to accurately locate the abnormal behavior, an anomaly detection method based on time context features of super-pixels is proposed. For feature representation, the video frames are firstly segmented into super-pixels. The super-pixels of foreground are then selected according to their pixel ratios of foreground. Super-pixels matching adjacent frames are selected based on the gray-level histogram and the information of location to enhance the temporal context of super-pixel features. The statical value of multilayer histogram of optical flow of matched super-pixels are taken as the feature for detection. In the phase of detection, the sparse combination learning algorithm …

An Anti-Occlusion Adaptive Particle Filtering Algorithm, Li Ju, Mingwei Cao, Yu Ye, Xia Yu, Lifan Zhou

Journal of System Simulation

Abstract: Considering the influence of local occlusion on particle filter tracking algorithm, an anti occlusion adaptive particle filtering algorithm is proposed. It adopts a rectangle as the tracking window, and uses the K mean clustering algorithm to complete particle clustering in resampling, and then obtains the particle subgroup. It estimates the final state according to particles subgroups, and modifies the tracking window. When the area changes more than 5%, the tracking window maintains the same as the one in last frame. Otherwise, the tracking window will change according to the size of moving object, which is a self-adaptation process. At …

The Rapid Deployments To Wildfires Experiment (Radfire): Observations From The Fire Zone, Craig Clements, Neil Lareau, David Kingsmill, Carrie Bowers, Christopher Camacho, Richard Bagley, Braniff Davis

Faculty Publications, Meteorology and Climate Science

The Rapid Deployments to Wildfires Experiment (RaDFIRE) was a meteorological field campaign aimed at observing fire–atmosphere interactions during active wildfires. Using a rapidly deployable scanning Doppler lidar, airborne Doppler radar, and a suite of other instruments, the field campaign sampled 21 wildfires from 2013 to 2016 in the western United States. Observations include rotating convective plumes, plume interactions with stable layers and multilayered smoke detrainment, convective plume entrainment processes, smoke-induced density currents, and aircraft in situ observations of developing pyrocumulus. Collectively, these RaDFIRE observations highlight the range of meteorological phenomena associated with wildfires, especially plume dynamics, and will provide a …

Embedded Online Fish Detection And Tracking System Via Yolov3 And Parallel Correlation Filter, Shasha Liu, Xiaoyu Li, Mingshan Gao, Yu Cai, Rui Nian, Peiliang Li, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Nowadays, Ocean Observatory Networks, Which Gather and Provide Multidisciplinary, Long-Term, 3d Continuous Marine Observations at Multiple Temporal Spatial Scales, Play a More and More Important Role in Ocean Investigations. in This Paper, We First Perform Image Enhancement to Produce Depth Information and Benefit Many Vision Algorithms and Advanced Image Editing. We Try to Develop a Novel Underwater Fish Detection and Tracking Strategies Combining You Only Look Once (Yolo) Latest Detection Algorithm Yolov3 Algorithm and Parallel Correlation Filter. We Demonstrated on the Nvidia Jetson Tx2 for Online Fish Detection and Tracking, Enabling a Fast System and Rapid Experimentation. It Has Been …

3-Dimensional Path Planning For Autonomous Underwater Vehicle, Yiheng Wang, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a new algorithm for Autonomous Underwater Vehicle (AUV) path planning in 3D space to visit multiple targets using Dubins curves. For a given target-sequence, the 3D path planning is usually solved by two steps: Step 1 projects 3D targets to the X-Y plane and designs a 2D path on this plane; Step 2 maps the 2D path into 3D via interpolation. The proposed new algorithm defines a local coordinate system (LCS) for each pair of targets and designs the 2D Dubins curve in the LCS, then uses the Euler's rotation transformation to convert the 2D dubins curve …

Damage Precursor Identification In Composite Laminates Using Data Driven Approach, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Rassel Raihan, Kenneth Reifsnider

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

Composite materials are rapidly being used in commercial aviation and other day to day applications. The individual damage modes in composites are very well understood but it is the interaction of these local damage modes that leads to global failure. In the current research we intend to identify the damage precursors and the initiation of failure events in off axis unidirectional composite laminates loaded in quasi static uniaxial tension by measuring the dielectric response of the material by an in-situ technique using Broadband Dielectric Spectroscopy (BbDS). Using the variation of permittivity with strain, we are able to classify the stages …

Comprehensive Parameters Identification And Dynamic Model Validation Of Interior-Mount Line-Start Permanent Magnet Synchronous Motors, Luqman S. Maraaba, Zakariya M. Al-Hamouz, Absulaziz S. Milhem, Ssennoga Twaha

School of Technology Publications

The application of line-start permanent magnet synchronous motors (LSPMSMs) is rapidly spreading due to their advantages of high efficiency, high operational power factor, being self-starting, rendering them as highly needed in many applications in recent years. Although there have been standard methods for the identification of parameters of synchronous and induction machines, most of them do not apply to LSPMSMs. This paper presents a study and analysis of different parameter identification methods for interior mount LSPMSM. Experimental tests have been performed in the laboratory on a 1-hp interior mount LSPMSM. The measurements have been validated by investigating the performance of …

Investigation Of Microwave-Assisted Synthesis Of Palladium Nanoparticles Supported On Fe3o4 As Efficient Recyclable Magnetic Catalysts For Suzuki-Miyaura Cross-Coupling, Hany A. Elazab Dr

Chemical Engineering

In this research, a facile and reproducible approach was implemented for synthesis of palladium nano particles supported on Fe₃O₄ with remarkable activity as an ideal catalyst for Suzuki Cross – Coupling. Magnetite supported Pd nano particles reveals a high activity towards Suzuki coupling reactions as it could be recycled up to seven times with the same high catalytic activity. This adopted method of catalyst synthesis has so many advantages as reproduciblity, and reliability of the adopted synthetic method. The produced catalyst has unique magnetic properties to facilitate the catalyst recovery from the reaction mixture through using a …

Context Oriented Software Middleware, Basel Magableh

Articles

This article proposes a new paradigm for building an adaptive middleware that supports software systems with self-adaptability and dependability. In this article, we wish to explore how far we can support the engineering of self- adaptive applications using a generic and platform-independent middleware architecture provided by non-specialised programming languages such as Context-Oriented Programming (COP), and Aspect-Oriented Programming (AOP), and not limited to a specific platform or framework. This gives the software developers the flexibility to construct a self-adaptive application using a generic and reusable middleware components that employ popular design patterns, instead of forcing the software developers to use a …

Deep Q Learning For Self Adaptive Distributed Microservices Architecture (In Press), Basel Magableh

Articles

One desired aspect of a self-adapting microservices architecture is the ability to continuously monitor the operational environment, detect and observe anomalous behavior, and provide a reasonable policy for self-scaling, self-healing, and self-tuning the computational resources in order to dynamically respond to a sudden change in its operational environment. The behaviour of a microservices architecture is continuously changing overtime, which makes it a challenging task to use a statistical model to identify both the normal and abnormal behaviour of the services running. The performance of the microservices cluster could fluctuate around the demand to accommodate scalability, orchestration and load balancing demands. …

Project Atlas: A Mobile Universal Rocket Engine Test Stand, Collin Mickels, Conrad H. Wright, Noah Soderquist, Alona Prokofieva, Sattar Panahandehgar, Naveen Sri Uddanti, Alcuin Rajan

Student Works

Project Atlas is a mobile, trailer-mounted, rocket engine test stand developed by Experimental Rocket Propulsion Lab (ERPL) at Embry-Riddle Aeronautical University’s Daytona Beach, Florida campus. The integrated test stand and automated data-acquisition and control system supports ERPL’s multitude of engine research projects, including bipropellant liquid and hybrid rocket engines. The need for an integrated universal mobile test stand stems from the inability to conduct frequent test fires on campus due to Class-3 airspace and liability issues. The test stand is designed as a horizontal thrust structure utilizing a dual flame duct to redirect and cancel reaction forces acting upon the …

A Procedure For The Calculation Of The Perceived Loudness Of Sonic Booms, Christian R. Bolander, Douglas F. Hunsaker, Hao Shen, Forrest L. Carpenter

Mechanical and Aerospace Engineering Student Publications and Presentations

Implementing a method to calculate the human ear’s perceived loudness of a sonic boom requires consulting scattered literature with varying amounts of detail. This work describes a comprehensive implementation of Stevens’ Mark VII in Python, called PyLdB. References to literary works are included in enough detail so that the reader could use this work as a guide to implement the Mark VII algorithm. The details behind the mathematics of the Mark VII algorithm are included and PyLdB is used to calculate the perceived loudness of an example pressure signature. PyLdB is benchmarked against a widely used and validated code by …

Optimization Of The Catalytic Performance Of Pd/Fe3o4 Nanoparticles Prepared Via Microwave-Assisted Synthesis For Pharmaceutical And Catalysis Applications, Hany A. Elazab Dr

Chemical Engineering

Microwave assisted synthesis technique was used to prepare palladium supported on iron oxide nanoparticles. The advantage of using microwave irradiation as a synthetic tool is due to its unique features as a one step, simple, versatile, and rapid process. The reactants are added simply at room temperature without using high-temperature injection. Hydrazine hydrate was added by the following ratios (0.1, 0.2, 0.3, 0.4, 0.6, 0.8, 1, 1.6, and 3) ml to the different prepared samples at room temperature in order to investigate its effect on the catalytic performance of the prepared catalysts. The prepared catalyst could be used as an …