Engineering Commons^™

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 …

Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen

Journal of System Simulation

Abstract: A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.

Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao

Journal of System Simulation

Abstract: On the basis of hydraulic valve control cylinder model and combining with the structure and load characteristics of the hydraulic gauge control system (HGC), a “flow linearization” model for HGC was presented and the shortcomings of the model in analyzing the dynamic characteristics of HGC were pointed out. In view of the characteristics of the large load variation range of HGC and according to the principle of “load compensation”, the flow correction coefficient and the related transfer function were analyzed and deduced, and the mathematical model of HGC based on “load compensation” was established. Combined with a practical …

Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi

Journal of System Simulation

Abstract: The simplest chaotic circuit contains only three circuit elements: a linear passive inductor, a linear passive capacitor and a nonlinear active memristor. In the design of memristors, power of memristance function polynomial with integral exponents is commonly used. On this basis, a general memristor is designed, of which the memristance function polynomial uses power with real exponents, a simple chaotic system is constructed based on the designed memristor. The influence of integral exponents, real exponents and linear parameters on dynamic behaviors is investigated, and chaotic behaviors are analyzed qualitatively using Lyapunov exponents. The Matlab and Multisim simulation results show …

Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang

Journal of System Simulation

Abstract: The highly reliable equipment operation and maintenance system is very important to enterprise’s safety production. The control system for equipment operation and maintenance with a parts inventory system is generally discussed. The proposed system is composed of a parts inventory subsystem, an equipment operation subsystem and an equipment maintenance subsystem as parallel and series form. And the control system belongs to a multi-level closed loop system. The system is a kind of discrete event dynamic system. So it is difficult to be described with traditional mathematical analysis methods. The multi-class closed control system simulation model is established with Simulink …

Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao

Journal of System Simulation

Abstract: In order to obtain high quality material simulation data from Density Functional Theory material calculation software package, a modeling method based on BP neural network was proposed to build model estimating the error of material simulation data. A novel hybrid algorithm combining simple particle swarm optimization algorithm that excludes speed item with BP algorithm, also referred to tsPSO-BP, was proposed to optimize the connection weights of the BP neural network. The hybrid learning algorithm not only makes use of strong global searching ability of the PSO, but also strong local searching ability of the BP algorithm. The BP …

Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu

Journal of System Simulation

Abstract: The fault-tolerant Fly-By-Wire flight control systems of four advanced aircrafts of Boeing and Airbus series (B777, B787, A340 and A380) were analyzed and compared. The disadvantages needed to be improved were explored in terms of software reliability and system reconfiguration of Boeing and Airbus Fly-By-Wire flight control systems. A novel redundant fault-tolerant flight control computer (FCC) system was presented. The proposed FCC scheme was qualitatively and quantitatively compared with redundant FCC of Boeing and Airbus. The three schemes' reliability was modelled and evaluated through the hierarchical hybrid modelling method. The conclusions are obtained as follows: the proposed …

Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang

Journal of System Simulation

Abstract: For better simulated study of pilot’s accident avoidance ability and pilot induced oscillation (PIO) characteristic of a man-aircraft close loop system, a method of “physiology-psychology-physiology” is presented to divide pilot models into three parts of input(signal), processing(decision making) and output(action), and a new multi-dimension proportion-differential nonlinear pilot model (MPDNLPM) is presented also. Simulated study is performed by simulated control of an aircraft pitch control model under backside tracking status for carrier landing. Conclusion: 1) The control performance of the man-aircraft system is slightly better than an ideal proportional control. 2) PIO is possible for well-trained pilot. 3) Proper anticipation, …

Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang

Journal of System Simulation

Abstract: In order to realize control parameters online tuning and optimizing applications in the high risk and high pollution environment, vector time series prediction based intelligent control methods are proposed, which are combined autoregressive moving average vector time series predictive method and wavelet neural network method. Based on theoretical and comparative research: feasibility, stability, better dynamic characteristics, less steady-state error of the proposed methods are verified. A comparative simulation platform for the above intelligent control system is provided. Stability guarantee method of the above new methods is given.

Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song

Journal of System Simulation

Abstract: A hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the soft-decision iterative decoding method and the erasure decoding method is proposed. If a decoding error is detected when the maximum iteration number of the soft-decision iterative decoding is reached, a decision is made on each bit whether it is zero or one or an erasure according to the cumulative reliability of the bit in the iterative process. Then the decision result is decoded with erasure decoding. Simulation results on random LDPC codes with moderate length indicate that the proposed hybrid decoding algorithm outperforms the traditional soft-decision iterative …

Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao

Journal of System Simulation

Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security …

Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d, Bowen Cheng, Yili Zheng, Qingqing Huang, Jinhao Liu

Journal of System Simulation

Abstract: A forestry felling & cultivation machine virtual training system based on Unity3D was developed. The models of forestry felling & cultivation machine were built up using 3dsMAX with the assistance of SolidWorks based on a forestry felling & cultivation machine. The models of forestry felling & cultivation machine and trees were imported into Unity3D to create a virtual operating environment. Each part of forestry felling & cultivation machine needs to be processed for the establishment of paternity in accordance with the simulation, the corresponding mathematical model was established to simulate the motion of the manipulator based on the analysis …

Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song

Journal of System Simulation

Abstract: With the rapid development of smart grid, the status monitoring data of power grid equipment increase exponentially and gradually form the big data. Traditional computing architectures are no longer to meet the demand of computing performance. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. The Parallel KNN (k-Nearest Neighbor) algorithm is designed and implemented by using Spark and Aliyun E-MapReduce cloud computing platform. The results from experiments show that the performance of Spark-KNN is 2.97 times of MapReduce-KNN and gains acceleration of 8.8 times. The experimental results confirm …