bluuebunny/crossref_metadata_2025_split huggingface dataset:
Burning rate of polyurethane composite propellant with energetic nano-composite additives
Authors: Tawfik Sayed , Saleh Ahmed , Elbeih Ahmed 
Published: October 2019

Abstract
In this study, some improvements in the burning rate of hydroxyl-terminated polybutadiene (HTPB) based composite propellant was performed by introducing innovative fast burning energetic Al-Cu nanocomposite s (ACNs). By comparison with the reference composite propellant (based on nano-Al), the results showed the effectiveness of ACNs to improve the characteristics of HTPB composite propellant. The concentration effect of ANCs on the characteristics of HTPB propellant and the possibility of achieving further performance enhancement were studied. The main results have indicated that ACNs based propellants have achieved improvements in the combustion heat, burning rate, ignitability, and mechanical properties.
Multivariable flight controller design for ultrastick-25e UAV
Authors: Ashry Mahmoud M. 
Published: October 2019

Abstract
Ultrastick-25e is an Unmanned Aerial Vehicle (UAV) invented by university of Minnesota. Its controller was designed with conventional PI controller in both longitudinal and lateral channels. Throughout this paper, four control techniques are purposed for controlling the unmanned fixed-wing plane (Ultrastick-25e). These controllers are genetically tuned PI and PID, fuzzy like PI, and fuzzy like PD controllers. These controllers are utilized to control both longitudinal and lateral channels for the linear and nonlinear model of the Ultrastick-25e. The four controllers improve the system response of the UAV. Every controller passes the system robustness evaluation including the disturbance rejection and the noise attenuation capabilities. Furthermore, robustness is evaluated for model uncertainties using the nonlinear model. The essential contribution in this paper is utilizing the fuzzy logic controller for the unmanned fixed-wing Ultrastick-25e. The simulation results analysis assure the superiority of the two fuzzy logic controllers compared with the genetically tuned PI and PID controllers.
LFM-PC Radar Evaluation in Presence of Jamming using SystemVue
Authors: Soliman Mohamed Samir Abdel Latif , Mansour A. 
Published: October 2019

Abstract
Pulse Compression (PC) radars become; now a day; are the most commonly used in a lot of military applications. This is due to its capability to resolve the problem of designing long range radar with excellent range resolution. Also, it provides additional processing gain that enhances radar detection capability. Moreover, Pulse compression is considered as an electronic counter countermeasures (ECCM) capability. It provides the radar with a good immunity against different jamming techniques. There are a lot of types of PC waveforms. Linear Frequency Modulated (LFM) signals are the most tolerant to high Doppler shifts. This is why LFM-PC radars are widely utilized with high speed targets. However, the literature lacks a simulation model to evaluate the detection performance of LFM-PC radar in presence of different noise jamming techniques. This paper introduces a typical simulation model for LFM-PC search radar using SystemVue. The simulated model allows the studying of the PC radar performance with different jamming techniques. Also, the optimum jamming technique; from electronic warfare point of view; is explored.
Black-box modelling of gas turbine engine’s electrohydraulic fuel metering system.
Authors: Fadel M A , Metwally M A , Elmayyah W M , Elsherif I A 
Published: October 2019

Abstract
The fuel and air flow rates are the main parameters affecting the gas turbine engine performance. The burned fuel in the combustor is the main source of heat energy. The fuel metering system (FMS) provide these engines with precise fuel mass flow rates required for regulation process. One of the most important and challenging concerns of engine design and control is, driving a valid model for the FMS. Physics-based models require well identification of the electrical and hydraulic system parameters. Measuring these parameters for the system under study, like the internal dimensions of these system components is very hard because of the system complicity and integrity. In this case it is preferred to treat the system as a black box. In this paper a transfer function model for an electrohydraulic FMS has been estimated and validated using MATLAB system identification toolbox (SIT). FMS closed loop measurements have been done for data set preparation process. Linear Variable Differential Transformer (LVDT) integrated in this system has been used for measuring the metering valve displacement which is proportionally represents the output mass flow rate. Linear variable differential transformer (LVDT) signal conditioning circuit has been designed and implemented to provide DC output voltage, proportional to the system output volume flow rate. Another conditioning circuit has been designed for output current amplification process required for electrical solenoid driving. The driven transfer function model has been validated using a different measured data set to insure a good representation of the physical system. Results show that the obtained model follows the real system with good accuracy and demonstrate the effectiveness of the transfer function modelling for the FMS.
Influence of exit configuration on the flow fields and oscillation characteristics inside and outside the fluidic oscillator
Authors: Abdulnaim Ahmed M , Emara Ahmed A , Moneib Hany A 
Published: October 2019

Abstract
The fluidic oscillator shows very promising outcomes as an actuator in active flow control applications as it features several characteristics including no-moving parts, self-excitation, rigidity and reliability. The fluidic oscillator can be utilized in diverse applications including active-control of combustion and flow separation. The present work investigates the exit configuration influence on the flow dynamics of a small-scale double-feedback fluidic oscillator. Three configurations were modelled to examine the effects of the inclusion of a splitter inside the exit channel as well as the whole elimination of both the exit channel and splitter. Experimental results were obtained using particle image velocimetry (PIV) laser system with water as a working fluid and time-resolved pressure measurements using a hydrophone. Two-dimensional computational models based on Unsteady Reynolds-averaged Navier-Stokes (URANS) equations and shear stress transport (SST) were utilized considering the flow to be turbulent, incompressible, and isothermal. The results indicate that the exit configuration has no significant effects on the frequencies, while the jet deflection angle of the outflowing jet increases and the jet tends to be continuous when the splitter is removed. The splitter increases the outflow fluctuation amplitudes which would be suitable for diverse applications.
Controller parameter tuning using actor-critic algorithm
Authors: Ahmed Ayman Elshabrawy M 
Published: October 2019

Abstract
In this paper a new reinforcement learning strategy is used for on-line tuning the control system of the aerodynamic missile. Aerodynamics missile automatic control system’s mission is to overcome the missile’s flight various disturbances encountered in the process of precise and real-time control of missiles attitude. Reinforcement learning algorithm (RL) is used to tune a PID controller to replace “gain schedule” Technique usually used. The result shows that RL with the new reward function is able to optimize the PID parameters with advantage over old method in terms of convergence speed and smaller overshoot.
Control of master slave robotics system using optimal control schemes
Authors: Rashad Sara A , Sallam Mohamed , Bassiuny A M , Abdel Ghany A M 
Published: October 2019

AbstractThis paper presents application of Proportional Integral Derivative (PID) and Non-linear PID (NPID) controllers to optimally operate the master slave robotic system. Teleoperation is widely used in different applications, such as surgical robots, underwater vehicles, power lines and even in space. However there are problems in teleoperation systems that may lead to degradation in system performance or even to system instability. This paper presents new and optimal control schemes that can satisfy the required performance, insure system stability and achieve zero tracking error in presence of constant time delay and model approximation. Optimal gains are obtained using the Genetic Algorithm in a systematic way that could be applied to other control schemes. The results proved the effectiveness of both control schemes than the previously applied scheme. The NPID control scheme has better performance, provided position tracking and achieved zero tracking error in less settling time than PID one. The results obtained by the presented control schemes are evaluated based on comparing the system performance using three different types of controllers which are P-like, Genetic PID and Genetic NPID. The study was carried out using MATLAB/SIMULINK 2017a.
Design and implementation of new security architecture for wireless network
Authors: Mahaba Mohammed M. , Megahed Mohammed H. , Ghalwash Atef , Rezka Mohammed Abu 
Published: October 2019

Abstract
Tactical Networks rely on modern communication technologies to connect soldiers and commanders engaged in the battlefield and enable enhanced information flow and data gathering, allowing for decision making based on real-time data analysis. Tactical network is a wireless communication network where wireless tactical network security is a milestone because a soldier does not know from where and when the attacks come.In this paper, a dangerous attack over the deployed tactical network is proposed through group of drones which are sent to the tactical network headquarter. The drone’s mission is to identify every device MAC, IP, Name and Location to intercept data or destroy the devices. Also, in this paper, a proposed solution is given for this proposed attack through changing MAC, IP, Name and Location for every device in the headquarter periodically according to the attack time and the devices importance. The MAC, IP, Name and Location must be changed before the drones return to enemy territories.A software program is developed to change MAC, IP, and Name periodically from centered server with no conflicts. The performance analysis for the proposed solution have been taken into consideration the metrics of packets drops, time delay, communication overhead and storage overhead during the changing time. A software tool verifies the changing of IP, MAC and Name for every device. This solution ensures that before the drones return to enemy territories all devices fixed parameters of MAC, IP, and Name are changed.
Design and implementation of LTE wide band coupler
Authors: Allam A. M. M. A. , Abo Sree Mohamed Fathy , Ibrahim Muhammad Aly 
Published: October 2019

Abstract
The article is devoted to design, analysis and implementation of directional coupler for LTE wide band application. It is implemented on FR4 with substrate thickness 1.6 mm, loss tangent of 0.025 and relative permittivity 4.3. It has a coupling coefficient -20db at 2.4 GHz frequency. It is designed using CST microwave studio tool. Conventional and metamaterial ones are illustrated. The later one enhances the scattering parameter of the coupler. The isolation is improved from -27db to -36db.
Chaos modulation in semiconductor laser with optoelectronic feedback
Authors: Ibrahim Raghad I , Al Naimee Kais A M , Yaseen Sameer Kh 
Published: October 2019

Abstract
The experimental and numerical study of chaos modulation will be presented in two stats, first, when the frequency of the external perturbation is varied, secondly, when the amplitude of this perturbation is changed. The dynamics of the laser output are analyzed by Fast Fourier Transformation, attractors and bifurcation Diagram. Some frequencies could be hidden other appeared, when the frequencies are hidden, the communication link considered as secure.
Vaporization-controlled simplified model for liquid propellant rocket engine combustion chamber design
Authors: Belal H , Makled Ah El-S , Al-Sanabawy M A 
Published: October 2019

Abstract
The design of liquid propellant rocket engine (LPRE) is a very complicated process; this is due to two main concerns: First, the requirements to satisfy the issues of performance, stability and compatibility. Second, the complicated, interacting processes inside thrust chamber. In this paper, an attempt to illustrate the importance of different parameters affecting performance, stability and compatibility is performed, followed by extensive study of processes inside thrust chamber. The result of processes study is developing the concept of “rate limiting process” which means that the process that can be considered the most important hence the design can be done mainly by considering it alone. This is done by developing a 1D vaporization-controlled model with its application to two case studies to illustrate model validation and application. It was found that the 1D model is valid as long as the vaporization process is the slowest process in this case the error in computing chamber cylindrical length is ∼15%. However, if the mixing process is slow, or the reaction process in gas phase is slow as in the second case study of RFNA/Tonka250 case, the error grow and may reaches 50%
Optimized planar terahertz Yagi-Uda antenna using hybrid GSA-PSO optimization algorithm
Authors: Megahed A , Mahmoud K R , Shaker A 
Published: October 2019

Abstract
In this paper, a planar Yagi-Uda antenna design for Terahertz applications is presented and optimized. The lengths of Yagi-Uda antenna elements beside the spaces between directors’ elements are optimized seeking for obtaining high gain and minimum return loss simultaneously at 300 GHz. Thus, the directivity enhancement enables to overcome the high atmospheric attenuation influence that faces the high frequency range and limit its communication capabilities, and the return loss minimization enables to minimize the return loss to improve the impedance matching besides, reducing the mismatching losses. The Gravitational Search Optimization Algorithm with Particle Swarm Optimization algorithm (GSA-PSO) as a hybrid technique is applied on the antenna elements using an offline link between MATLAB program and Ansoft HFSS simulation program. To show the convergence capability of the GSA-PSO, the results are compared with those obtained by other algorithms such as gradient local algorithm and genetic global algorithm (GA). The optimized antenna showed high gain of 15.84 dB with a return loss of -45.27 dB compared to 15.4 dB and -15.6 dB for the conventional counterpart design, and with gain of 15.8 dB, and return loss of -21 dB for the genetic algorithm, and finally with 15.75 dB, and -28 dB for the gradient algorithm. Furthermore, the GSA-PSO algorithm improves the search capability by 30%, compared with the GA algorithm.
Enhancing the performance of CNN-based blind image steganalysis approach using multi-GPU TESLA P100
Authors: Mustafa Eslam M , Elshafey Mohamed A , Fouad Mohamed M 
Published: October 2019

Abstract
Blind image Steganalysis is the binomial classification problem of determining if an image contains hidden data or not. Classification problems have two main steps: i) feature extraction step and ii) classification step. Traditional blind image steganalysis approaches use handcrafted filters for the first step and use classifiers such as support vector machine (SVM) for the second step. The rapid development of steganographic techniques makes it harder to design new effective handcrafted filters, which negatively affect the feature extraction step. Recently, Convolutional Neural networks (CNNs) are introduced as an auspicious solution for this problem. CNN-based steganalysis can automatically extract features from the input images without using handcrafted filters. Although considerable success has been achieved with CNNs, CNN-based applications are considered as time consuming applications. Accordingly, it is important to quicken the CNN-based steganalysis approaches training in order to make them more applicable. This paper suggested an implementation technique of the improved Gaussian-Neuron CNN (IGNCNN) steganalysis approach on GPUs. In this paper data parallelism concept is applied to the convolutional layers while model parallelism concept is applied to the fully connected layers. Results show that the proposed method provides better performance as compared with IGNCNN [1] by an average speed up factor of 1.4 X.
A Novel Robust Adaptive and Compound Control of an Adaptive Neural Network, SMC and PI for Manipulators
Authors: Vu Duc Ha , Huang Shoudao , Tran Thi Diep 
Published: October 2019

Abstract
In this paper, a new compound control scheme is proposed for manipulator based on radial basis function neural network (RBFNNs), sliding mode controller (SMC) and proportional–integral (PI) controller. In this control scheme, the filtered tracking error is the input of the RBFNNs update laws, SMC, and PI controller. The RBFNNs uses three-layer to approximate uncertain nonlinear manipulator dynamics. A robust sliding function is selected as a second controller to guarantee the stability and robustness under various environments. By using additional PI controllers, the goal of manipulator tuning is to minimize chattering signal, tracking performance, and overshoot can be realized. Simulation results highlight performance of the controller to compensate the approximate errors and its simpleness in the adaptive parameter tuning process. To be concluded, the controller is suitable for robust adaptive control and can be used as supplementary of traditional neural network (NN) controllers.
Research on Mechanism of Film Pressure Loss in Water-lubricated Bearing
Authors: Lun Wang , Nan Wang , Yubo DU , Litao Yang , Peng Wang , Xiaokui Yue 
Published: October 2019

Abstract
Due to the low viscosity of water, the water film is not easy to form, and the water-lubricated bearing system has the characteristics of airtightness. Therefore, it is difficult to obtain an accurate water film pressure distribution through experiments. Aiming at the loss of water film pressure in the process of water film pressure transmission caused by L-type pipeline in the existing wireless sensor testing methods for water film pressure, a mathematical model of water-lubricated bearing system pipeline pressure loss is established by numerical analysis method, and the corresponding physical model is established by using ANSYS software. The mechanism of pressure loss is studied by simulation. Finally, the test results were corrected and analyzed. The results show that the higher the flow rate of lubricating water at the inlet of the pipeline, the greater the pressure loss of the water film; the higher the shaft speed, the greater the local pressure loss; the longer the pipeline, the greater the pressure loss of the straight pipe section of the L-shaped pipeline, and the dynamic condition of the pipeline The pressure loss and energy loss are much more severe than static conditions.
Hydraulic control system of mechanical energy stored type powder high velocity compaction machine
Authors: You Dongdong , Zhu Qian , Zhu Yanghui , Li Fenglei 
Published: October 2019

Abstract
An automatic control scheme of spring energy storage by hydraulic control of spring compression is presented and implemented in this paper to improve the automation level, control accuracy and production efficiency of the existing HVC machine with mechanical energy storage type. The hydraulic system, servo system, and PLC codes are developed. The PID control optimization is applied for the control error accuracy of the machine. The transfer function is derived, and the genetic algorithm is used to optimize the PID parameters. The control scheme is implemented in the updated machine. The experimental results of iron powder HVC are in agreement with the predicted and calculated values. The reliability and validity of the automatic control scheme is verified. The research facilitates the industrial application of this kind of equipment.
A study on decompresses heat pump dryer for drying of shiitake mushrooms at medium temperature
Authors: Goh Y J , Kim Y H , Lee B , Jung H C , Lee S R , Kim K M 
Published: October 2019

Abstract
This study developed a drying method and a dryer that are optimized for shiitake mushrooms. They are mainly being cultivated and consumed as food and medicine in Korea, Japan, China, and Southeast Asia. They generally contain lots of moisture. For this reason, the use of a dryer causes problems such as decomposition and spoilage, and natural dry processing is preferred. To resolve these problems, various drying methods have been proposed (e.g. hot air drying, heat pump vacuum drying) but there has been a difficulty in maintaining a medium-temperature range of 30 to 40°C, the optimal temperature environments for retaining their main components. The study developed a 2-stage decompresses resistive heat pump dryer that can operate also in medium-temperature environments - existing decompresses heat pump dryers have been able to operate only in high-temperature environments. A dryer optimized for shiitake mushrooms that are being produced and distributed in large quantities was proposed, and the utility of the machine was proved through experiments.
Research on the friction pair of the space high-power and long-life rolling ring
Authors: Liu Chengshan , Chen Xiuqun , Qian Zhiyuan 
Published: October 2019

Abstract
With the development of spacecraft, the requirement for high-power, long-life and high-reliability electrical transmission technology of the rolling ring is increasingly urgent. Aiming at the friction pair’s structure of the rolling ring, relevant theoretical and experimental research was carried out. The kinematic model is established to determine the friction pair’s structure of the rolling ring, and the zero sliding of friction pair is verified by ADAMS simulation. The electrical contact resistance and fatigue life of the friction pair are theoretically analyzed, and the cycling life of the flexure was analyzed. The stress distribution of flexure during rolling was simulated by FEM. The lifetime experiment of 1.5 × 105 r that the prototype transmitted the 6.6 kW of single loop was verified. The experimental result shows that the electrical contact resistance and the fluctuation value of the single loop are less than 1m Ω during the rolling, although the transmission power increased to 10 times as compared with the traditional slip ring. The kinematic model can provide a certain theoretical reference for design of the space high-power and long-life rolling ring.
Research on automatic assembly technology for final assembly of helicopter fuselage
Authors: Xiao Q D , Zhang L A , Gan L , Cheng T 
Published: October 2019

Abstract
The helicopter fuselage has the characteristics of compact structure space, complex coordination relationship and weak rigidity, etc. It is difficult to control the accuracy of the desired shape. According to the high precision and quality requirement of final assembly for helicopter fuselage, the application status of automatic assembly technology in aviation manufacturing was analyzed. Then the difficulties of automatic assembly technology for fuselage final assembly were also discussed. In this paper, an automatic assembly system for the final assembly of helicopter fuselage was designed, and relevant key technologies of the assembly system mentioned above were proposed. The designed system have the functions of automatic positioning, clamping, measuring, drilling, feeding and blind fastener riveting for fuselage components, which can improve the assembly quality and efficiency of helicopter fuselage during the final assembly process.