bluuebunny/crossref_metadata_2025_split huggingface dataset:
Secure physical layer transport strategies in mobile edge computing
Authors: Wang Yijun , Lv Jingying , Qiao Shixia 
Published: August 2024

Abstract
In the past, mobile edge computing faced problems such as information leakage and eavesdropping during offloading of computing resources. To bolster the comprehensive security of the mobile edge computing system, a physical layer secure transmission strategy in mobile edge computing is proposed. First, a drone-mobile edge computing system is studied, which consists of M legitimate drones, N user devices, and K eavesdropping drones. Second, a multi-intelligence deep deterministic policy gradient algorithm is used to optimize the flight path, transmit power, and offloading ratio of the legitimate UAVs in combination with a prioritized empirical replay mechanism. Finally, under the premise of guaranteeing offloading, it realizes that the user’s confidential information is not stolen by eavesdroppers, safeguards the overall security of the system, and maximizes the efficiency of security computing. In this paper, the proposed algorithm enhances security transmission efficiency by 50% compared to other benchmark schemes. This demonstrates that the algorithm is effective.
FPGA-based point-controlled OFDM transmission system design
Authors: Hua Xueyong , Quan Baoxuan 
Published: August 2024

Abstract
We proposed a low-overhead point-controlled multiple-access protocol. This protocol establishes a new frame structure and transmission rules, which avoids transmission conflict and reduces transmission overhead. The protocol is integrated into an OFDM communication system based on FPGA. The experiment shows that the scheme is feasible and reliable and effectively improves the transmission efficiency and level.
Research on differential data fusion processing method for dual GNSS base stations
Authors: Huang Tushun , Chang Wei , Hu Bin , Li Gang 
Published: August 2024

Abstract
In the differential processing of global navigation and positioning system (GNSS) trajectory data from dual base stations, a hierarchical fusion processing method is proposed based on the trajectory parameter layer for two trajectory parameters generated by the different dual base stations according to the distribution pattern. Trajectory segment that satisfies the differential baseline of a priori data accuracy are given high weight to prioritize for fusion, and the portion exceeding the maximum differential baseline distance is weighted fusion according to the sliding window plus polynomial fitting to determine the weighted coefficients. By practical testing, the statistical residuals of the weighted fusion trajectory in the horizontal and vertical directions reduced by 32.83% and 30.19% respectively compared to the unfused trajectory.
The Impact of Incorporating Varying Proportions of Sugar Beet Waste on the Combustion Process and Emissions in Industrial Burner Fuelled with Conventional Diesel Fuel
Authors: Elkelawy M , Bastawissi H A , Abdel-Rahman AK , Abou-elyazied A , El-malla S 
Published: August 2024

Abstract
The main objective of the case study is to investigate the effectiveness of using solid fuel additives in conventional diesel fuel for industrial furnaces. The study focuses on utilizing agricultural waste derived from sugar beet plant waste as additives to enhance the combustion process and reduce emissions from industrial burners. In this study, experimental measurent for the flame temperatures inside the furnace while altering the proportions of the solid materials have ben achived. The goal was to assess the impact of different loading from these additives on the combustionprocess. Furthermore, the study involved measuring exhaust gases such as carbon monoxide (CO), carbon dioxide (CO2), unburned hydrocarbon (UH), and nitrogen oxides (NOx). The experimental facility arranment allowed the researchers to evaluate the emissions resulting from the combustion process with the addition of solid fuel additives. By measuring these parameters, the study aimed to understand the effect of utilizing agricultural waste as additives on the burning processes and emission formation in industrial furnaces. These findings can contribute to improving the efficiency of combustion processes, reducing emissions, and promoting the utilization of renewable and sustainable fuel sources in industrial settings. In this study, varying the proportions of solid materials used as additives had an impact on the levels of carbon monoxide (CO), carbon dioxide (CO2), and nitrogen oxides (NOx) in the exhaust gases. By increasing the proportion of solid materials in the fuel mixture resulted in changes in the emission levels. The levels of carbon monoxide in the exhaust gases decreased as the proportion of solid materials increased. While the addition of solid fuel additives did contribute to the production of CO2 due to the combustion of the additives, the overall effect on its levels varied depending on the specific proportions used. Also, the levels of nitrogen oxides in the exhaust gases showed different trends depending on the proportions of solid materials used. Typically, increasing the proportion of solid fuel additives led to reduce NOx emissions. However, this may also depend on other factors such as combustion temperature and the composition of the solid materials.
Performance and Emission Characterization of a High-Injection Pressure Common Rail Diesel Engine Fueled by Blended Diesel and TiO2 Nanoparticles.
Authors: Moaayet Sayed , Neseem Waleed , Amin Mohamed I. , Shahin M. 
Published: August 2024

Abstract
How to increase engine power and reduce fuel consumption and emission is an important target that engine designers try to achieve it. One of the most promising approaches to realise this goal is adding nano additives to fuel. Titanium dioxide (TiO2) blended with biofuels get wide studies by researchers using conventional diesel engines at different operating regimes. This work aims to prolong these investigations using diesel fuel, rather than biofuels, on a high injection pressure (1400 – 1600 bar) common rail diesel engine at wide operating conditions and different TiO2 concentrations. Experimental outcomes show an increase in peak cylinder pressure up to 8.51% than pure diesel when using 100 ppm TiO2 concentration. Also, BSFC has been decreased by 36%, and BTE increased by 48% compared to pure diesel at high speeds and loads. NOx and CO2 emissions raised by 35.3% and 40.3% respectively, while CO emissions decreased by 35%. These results could be a reason for further studies for TiO2 using different sizes, at wider engine regimes and mixture strengths.
Prediction of defects in deep drawn rectangular parts using Finite Element Analysis (FEA) and Response Surface Methodology (RSM)
Authors: Semman M. M. , Shazly Mostafa , Gadallah Mohamed H. , Mohamed Tamer A. , Wifi Abdallah S. 
Published: August 2024

Abstract
Deep drawing defects such as thinning and earing present challenges to sheet metal forming industry while designers tend to favour the usage of new materials and production processes. The present work introduces an integrated approach using Design of Experiment, FEA experimentation and RSM to study the effect of deep drawing process parameters and resulting defects associated with sheet metal forming processes such as thinning and earing particularly in deep drawing of non-circular parts. The Design of Experiment (DoE) is used to generate a series of experiments for different process parameters in deep drawn rectangular products which are then simulated using Simulia 2022, a finite element package. The results are then fed to statistical analysis software, Design Expert 12.0, to develop regression equations that predict minimum sheet thickness and earing defects using RSM. FE models for deep drawing of different products have been built and results have been verified through comparisons with published data. Critical process parameters were selected for investigation in the present work. Based on the results of these experiments, a two-level design of experiment is conduct to generate 64 FE experiments. The relationships between these parameters and minimum sheet thickness after drawing and earing defects are then obtained using RSM. Optimum values of different parameters are obtained for maximum sheet thickness after drawing and minimum earing.
Frontal bumper beam of automobile vehicle analysis by using different materials
Authors: Mysarh A M , shamekh M , Abdelshafy M H 
Published: August 2024

Abstract
An automotive bumper is a key component designed to protect passengers from front and rear collisions. Bumpers serve a crucial function in absorbing collision forces to protect both the vehicle and its occupants. The ABAQUS/Explicit code is used to investigate the influence of the bumper beam parameters on their impact resistance. Eight materials (4 metallic and 4 composite) were compared to see how material modifications would improve outcomes and determine the optimal bumper beam material. Four bumper designs (profile-A, profile-B, profile-C, and profile-D) were compared to see how design adjustments would improve outcomes and discover the optimum bumper beam configuration.
Physical, structural and mechanical characterization of Fe-10wt. %Ni-5wt. %Cu alloys manufactured by powder metallurgy (P/M) technology
Authors: Herzallah H. , Shamekh M. , Elthalabawy W. 
Published: August 2024

Abstract
Porosity of alloys produced by powder metallurgy remarkably reduces their strength. This study characterizes the effect of addition of 10wt%Ni and 5wt%Cu particles to Fe powder performing an Iron base alloy using P/M technique. The microstructure of the alloy was investigated using scanning electron microscope (SEM) equipped with energy dispersive X-ray spectroscopy (EDS). The relative density of the alloy fabricated at different parameters was investigated. Microstructural characterization of the alloy shows a low porosity and existence of spheroid oxide particles. Also EDS elemental analysis reveals a uniform distribution of Ni and Cu within the Fe matrix. In addition, the results reveal that the relative density and hardness increase with increasing the fabrication parameters; pressure and sintering temperature when the time is kept constant and their maximum values were obtained when that alloy fabricated at compaction pressure 700 MPa and sintering temperature 1200°C for 90 min.
Investigation of the factors affecting the heat transfer mechanism of the centrifugal material casting
Authors: Gomaa Kamal 
Published: August 2024

Abstract
The material casting by centrifugal technique has several potential advantages over the traditional casting methods such as; time saving, accurate dimensions, good surface finishing, purities, faster solidification, and porosity. The heat transfer mechanisms of the centrifugal material casting technique is presently investigated because of its great influences in the productivity, facilities life and production energy of that technique. Consequently, the current study provides a semi-comprehensive analytical and experimental investigation for the heat transfer mechanisms of the centrifugal material casting. The present work shows that the thermophysical properties of the casting material, the rotational speeds of the centrifugal mold and the types of the centrifugal technique have deeply affected the centrifugal heat transfer mechanism. Eventually, the developing and improving the cooling systems of the centrifugal molds are indeed needs due to modify the material casting by centrifugal techniques.
Product platform design for minimum cost in mass customization manufacturing environment
Authors: Ismail T , Saeed Ahmed , Elkharbotly A , Zamzam N 
Published: August 2024

Abstract
Nowadays manufacturers are facing several challenges to compete in the marketplace. One of the main challenges can be described by the need to offer a range of products and categories in addition to shortening the time during which the product is brought to the customer while maintaining low costs to achieve maximum profitability. Several approaches emerged during the past couple of decades that enabled designers and manufacturers to offer the product variety within a product family on one hand and allowing flexibility and responsiveness at the manufacturer’s side on the other hand. This study addressed the problem of product platform design with the objective of minimizing the manufacturing costs incurred in the platform manufacturing phase and the mass customization phase. A genetic algorithm model that minimizes the total manufacturing cost is developed where optimum product platform design is determined. The developed model is used to study the effect of demand proportion of different product variants within a product family on the platform design and the total manufacturing cost.
Suitability of Hybrid Passenger Vehicles in Metropolitan Cities: A Study of Paris and Cairo Using Toyota Prius
Authors: Elnabawy Eslam S. , Ali Ahmed M. , Asfoor Mostafa Sh. 
Published: August 2024

Abstract
Hybrid electric vehicles (HEVs) reduce metropolitan city air pollution and traffic congestion. This paper evaluates the performance of the Toyota Prius, a passenger HEV model, in Paris and Cairo, using driving cycle data incorporated in the validated digital tool (Advanced Vehicle Simulator - ADVISOR ). The paper compares exhaust gas emissions and fuel consumption of the selected HEV in those two cities. The results show a reduction in exhaust gas emissions and fuel consumption in Paris than in Cairo and a significant reduction in greenhouse gas emissions. The paper suggests that the HEV Toyota Prius is a suitable and sustainable solution for urban transportation in metropolitan cities.
Design of new anti-vibration gloves for workers: ongoing research and preliminary results
Authors: Elsheikh Mogeeb A. , Ali Abduelaziz Nawal 
Published: August 2024

Abstract
Powered hand-held tools such as drillers, chainsaws, blowers, etc. cause hand-arm vibration syndrome. Common anti-vibration gloves cannot attenuate the vibrations at low frequencies and satisfy workers due to a lack of dexterity and grip strength. Therefore, the study presents a new glove based on an absorber to reduce vibration transmission at low frequencies. The new gloves and the passive absorbers are affordable and made of simple components, rubber rods, and violin strings with different sizes are the base of the used absorbers to attenuate the range of working frequencies. To predict the effectiveness of the fabricated gloves, the study performed experiments using non-expensive tools. A smartphone and a credible Android application (IDynamics) are utilized to measure the response in the wrist when using an air blower 450 W in specific working conditions. Additionally, the study builds a simple test rig to carry out the effect of the new gloves on the dexterity. Accordingly, the suggested low-cost gloves achieve a 50% acceleration reduction at the wrist approximately to the bare hand or any current anti-vibration gloves that are specified for the higher frequencies only.
Enhancement of Energy Harvesting PTO Against Nonlinear Waves Using Control System
Authors: Farag M M Diaa El-Din H , Shehab Ali 
Published: August 2024

Abstract
Many systems include turbines, linear electromagnetic or hydroelectric components, as well as wave energy converters designed particularly for energy harvesting from ocean and sea waves. While each of these methods has its merits, it is also feasible to harvest a considerable quantity of energy generated by the sea and ocean waves. Wave energy is considered a renewable and ecologically friendly energy source. It is harvested through wave energy converters and is particularly useful to coastal nations. In this paper, a mechanical motion rectifier (MMR) is proposed to convert the bidirectional reciprocating movement of a floating body above the nonlinear wave into a rotating movement in one direction. Experimental investigations are carried out to examine the performance of the system. An experimental wave tank was built to produce nonlinear waves by controlled flapper motion. Mechanical and electrical efficiency were investigated for both systems. Through the use of a generator, the energy can be taken in the form of electrical energy and stored in appropriate batteries, resulting in clean and sustainable energy from the sea’s waves.
Numerical Estimation of Hydrostatic and Hydrodynamic Forces of Spar Type Offshore Wind Turbines
Authors: Magdy M. , Bennaya Mohamed , Salem A.M. , Omar Hossam A. 
Published: August 2024

Abstract
The focal point revolves around Floating Offshore Wind Turbines (FOWT) due to fossil fuel leakage. Numerical simulation tools have been developed to simulate the operational dynamics of FOWT under different wave conditions.In this study,a numerical approach is proposed to investigate FOWT using ANSYS-AQWA a commercial soft wares uses potential theory that employs the boundary element method to obtain the added mass, radiation damping and diffraction in three translational degrees of freedom (surge,sway,heave).in this study considers. This paper compares two numerical approaches for studying offshore structures. The first approach was conducted using WAMIT, and in this work, a verification of the with the well known Spar offshore wind turbine OC3 will be introduced. The heave response of FOWT will be considered in regular waves. Response Amplitude Operator (RAO) is considered in Heave Motion. The simulation achieves high accuracy with minimal errors, and its processing time is significantly shorter compared to CFD simulations.
Predicting Forces in the Components of the Human Upper Limb through Multibody Dynamics and Optimization Techniques
Authors: Alhulaifi Taha , Awad Taher H , Mohamed Khaled T 
Published: August 2024

Abstract
An accurate model of the human upper limb is crucial for various applications, including prosthetic development, optimizing ergonomics, and rehabilitation. The novelty of this research is to obtain a model that predicts the forces of muscles, ligaments, and joint reactions under any loading conditions, thereby enabling the prediction of musculoskeletal forces during different daily activities. For this, a multibody three-dimensional dynamic model of the human upper limb is presented to study the upper limb musculoskeletal system. The model comprises 35 muscle elements, 11 ligaments, and 7 joints. Thirty equations of motion with 73 unknowns were obtained using Newton’s second law of motion. The Ariel Performance Analysis System (APAS) was utilized to record and analyze the motion of 16 bony landmarks using 8 digital video cameras with a sampling rate of 100 frames per second. The genetic algorithm (GA) and particle swarm optimization (PSO) are used to solve the redundant force problem of the model. The GA and PSO are implemented with two distinct objective functions; the first is the sum of the squared muscles’ stresses. The second one is the sum of the muscles’ energy consumption. The model was validated through EMG recordings of eight superficial muscles and with the available data in the literature. The results show that the inclusion of the ligaments at the GH and elbow joints in addition to the trapezoid and conoid ligaments in the model led to a more precise prediction of the muscles’ force. The PSO shows more accuracy and smoothness of the predicted muscles’ force, despite the GA taking more running time and requiring significant memory resources. The model also revealed that there is no great difference in the predicted muscles’ force when using any of the two cost functions.
Black-box modeling of PMSG-based wind energy conversion systems based on neural ODEs
Authors: Huang Zhanhua , Hu Ran , Ma Nan , Li Bing , Chen Chen , Guo Qiangqiang , Cheng Wuping , Pan Chunpeng 
Published: August 2024

Abstract
Integrating renewable energy sources like wind power into the power grid enhances the dynamic interactions among renewable energy-producing equipment, leading to new technological issues for the power grid. Modeling and simulation are essential to ensure the stability of the emerging power grid, but they require precise dynamic component modeling, which is often unavailable due to technical confidentiality and other factors. Conventional hardware-in-the-loop (HIL) simulation can accurately simulate the dynamics of a single renewable energy device, but not the complex dynamics of multiple devices. This research introduces a method that combines classical mechanism modeling and differential neural network modeling to create accurate wind turbine models utilizing equipment measurement data or HIL simulation data. A realistic wind turbine electromagnetic transient simulation model of a specific type is developed and validated by connecting it to the IEEE-39 node system, confirming the model’s accuracy.
The effect assessment of wind turbine capacity on offshore wind power generation potential in guangdong
Authors: Gao Yanna , Zhang Jixiang , Dong Hong , Hu Liujun , Lin Zihan , Zeng Fanhong , Gao Yuqun , Cheng Zhi , Wang Zhihui , Xu Liangde 
Published: August 2024

Abstract
The installed capacity of offshore wind power directly impacts the number of turbines and the total electricity generation. This study uses wind speed and offshore wind power planning data, and Guangdong Province is a case study. Three scenarios are set (7.5 MW, 9.5 MW, and 15 MW) to explore the influence of turbine installed capacity on electricity generation. The results indicate that when the turbine capacity is 9.5 MW, it generates the highest electricity, which accounts for approximately 162718.9 GWh per year.
The optimization and dispatch of regional multi-energy complementary power system in green certificate Trading - Carbon emission trading
Authors: Xin Cheng , Wang Shuo , Wang Xinyu , Ke Ye , Liu Bing , Yao Fan 
Published: August 2024

Abstract
This proposal of the “double carbon” goal underscores the pressing need to reduce carbon emissions. To address this issue, the utilization of an optimal scheduling model for an integrated multi-energy complementary system, comprising wind, solar storage, and thermal power generation, is proposed. Two renewable energy generating units, wind and photovoltaic power, cooperate with thermal power units to generate electricity to meet urban base load requirements. Energy storage units compensate for the instability of power generation from renewable energy units. To significantly decrease system carbon emissions, a green certificate trading-carbon emission trading system is introduced. The carbon emission reduction facilitated by the green certificate can offset a portion of the carbon emissions, and the quantities of tradable green certificates and carbon emissions in their respective markets are adjusted accordingly. This model aims to maximize the system’s comprehensive operating earnings while considering the low-carbon economy aspect. The proposed model undergoes simulation analysis, and the results demonstrate its reasonableness and efficacy in terms of carbon reduction and economic viability.