bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using multi-layer perceptron to predict sea surface temperature
Authors: Yan Xinyi 
Published: August 2024

Abstract
This study employs a Multi-layer Perceptron (MLP) model to predict Sea Surface Temperature (SST) using Sea Surface Salinity (SSS) data collected by NASA over a period of 55 years. SSS is closely related to SST, as both are influenced by similar factors such as solar radiation, evaporation, and precipitation. The accuracy of these predictions is then evaluated through an error analysis, conducted on both annual and monthly scales. The results of this study indicate that the MLP model can effectively utilize SSS data to predict SST. However, it was observed that the model’s predictive performance varies across different seasons and regions. This study demonstrates that the MLP model is an effective tool for predicting SST based on SSS data. By employing a MLP to predict SST based on SSS data, this study contributes to the field of meteorology in several ways. However, further research and optimization of the model are needed to improve its predictive accuracy. Additionally, more data needs to be collected and the model’s performance needs to be validated across a wider temporal and spatial scale.
The road to carbon neutrality in the metallurgical industry: Hydrogen metallurgy processes represented by hydrogen-rich coke oven gas, short-process metallurgy of scrap and low-carbon policy
Authors: Guo Yuanchang , Wang Xinyi , Deng Kangze 
Published: August 2024

Abstract
With the acceleration of global industrialization, the concentration of carbon dioxide is increasing in the atmosphere, and its negative impacts have seriously affected all walks of human life, so achieving carbon neutrality has become an urgent task for achieving sustainable development. As an important energy-intensive industry, the metallurgical industry occupies an important position in the global carbon-neutral agenda. In China, the metallurgical industry is actively researching and developing a new green metallurgical model of “replacing carbon with hydrogen”, exploring the feasibility of utilizing renewable energy sources to produce hydrogen from electrolysis to reduce iron ore, and at the same time utilizing hydrogen-rich coke oven gas to get rid of the over-reliance on coke; at the same time, the government’s policies provide support and incentives to elevate sustainable development and technological innovation in the metallurgical industry. support and incentives to elevate sustainable development and technological innovation in the metallurgical industry. Against this background, this paper describes the key initiatives taken by the metallurgical industry in the process of achieving carbon neutrality, including the metallurgy using hydrogen processes using hydrogen-rich coke oven gas as a source of reducing gas, short-process metallurgy of scrap, and technology that reduce emissions and save energy. Through case studies and policy analyses of new green metallurgy, this study demonstrates the potential and achievements of the metallurgical industry in achieving global carbon neutrality. It concludes with a call for the metallurgical industry to continue to strengthen innovation and work with governments and academia to pave the way toward carbon neutrality. Through new metallurgical technologies, improved energy and resource efficiency, and sustainable development, the metallurgical industry will make a significant contribution to the goal of global carbon neutrality.
Standard cell library design for edge computing chips
Authors: Lei Chuanlong , Tang Ying 
Published: August 2024

Abstract
With the rapid development of big data, IoT, and other technologies, edge computing has emerged, and the core of edge computing is the edge computing chip. To meet the rapidly growing data computing speed and data computing volume and taking into account the short design cycle and low cost, this paper proposes a standard cell library for designing edge computing chips based on the PDK of 0.13 μm SOI process. Compared with the existing edge computing chips that operate at 100 MHz, the edge computing chip designed with this cell library can operate at 1 GHz. The design process includes selecting cell types and heights for the cell library, designing and drawing circuit logic and layout, extracting characteristic parameters of the cell library, and verifying the cell functions. The validation results show the designed cell can operate at 1 GHz with low delay. Compared with a commercial device, the designed device has a higher operating frequency and realizes a good balance between area and power consumption, and the standard cell library has a good application prospect.
Method of field measurement of electromagnetic environment of high speed maglev train
Authors: Li Yunfeng , Zhang Jiahui , Fu Shanqiang , Wu Donghua , Xu Qiongxiao 
Published: August 2024

Abstract
In order to reduce the complexity of the magnetic field test of maglev trains and improve the accuracy of measurement data, this paper proposes a field measurement method of maglev train radiation emission based on high-speed parallel adaptive filter denoising technology. This measurement method is not limited by special measurement sites, and has the characteristics of high-speed measurement, real-time data processing, and large-capacity data storage. It breaks through the technical bottleneck of the traditional measurement system. The electromagnetic radiation emission of high-speed maglev trains is measured in real-time through multi-antenna synchronous measurement technology, and multi-channel high-speed RF signal measurement and acquisition of external signals are further carried out by blind source separation technology, environmental pre-scanning is carried out, environmental interference characteristics are obtained through feature statistics, and the radiation signal to be measured is estimated by blind source separation algorithm. It helps to achieve the purpose of accurately measuring the electromagnetic radiation emission of high-speed maglev trains. Through field testing, the denoising performance of the method reached 20 dB. Through field testing, the denoising performance of the method reached 20 dB.
A novel LDO circuit with high-speed current detection
Authors: He Jiangping , Liu Xinrui , Xia Yankun 
Published: August 2024

Abstract
This paper proposes a Low Dropout Regulator (LDO) circuit with high-speed current detection. The current detection circuit utilizes a latch-based structure to expedite comparisons and perform detection. Its primary objective is overcurrent protection in certain practical applications, achieving current limit functionality. The LDO circuit structure can stably provide a 5 V output voltage under a 9 V input voltage, with a maximum output current limit of 70 mA. In practical applications, the circuit can function with a load current of 40 mA, resulting in an output voltage (Vout) of 4.96 V. In the design of the LDO circuit, the Error Amplifier (EA) module departs from conventional internal structures, employing a dual-potential folded cascode common-gate common-source amplifier. This choice enhances parameters such as EA gain and Power Supply Rejection Ratio (PSRR). The gain achieves 98 dB, and the low-frequency PSR reaches 92 dB. Simultaneously, the dual potential configuration significantly economizes the layout area required in practical implementations. The LDO is designed using a 0.18 μm standard CMOS process.
A low noise CLASS AB operational amplifier with high voltage output capability by 180 nm BCD process
Authors: Li Peipei , Luo Li , Wei Qi 
Published: August 2024

Abstract
In this work, a low noise CLASS AB operational amplifier, which can output high voltage, has been fabricated by a 180 nm BCD process. For the objective of achieving low noise, the bipolar junction transistor (BJT) input stage with the base current compensation structure is employed. Experimental results show that the low noise amplifier’s equivalent input current and voltage noise are 3.2 pA/sqrt (Hz) and 16.73 nV/sqrt (Hz) separately, and the rising and falling slew rates are 10.40 MV/s and 6.67 MV/s separately. With the die area of 0.629 mm2, the amplifier’s power consumption is 18.3 mW, which flows 60 μA on the 5 V low power supply and 600 μA on the 25 V high power supply.
A High-gain omnidirectional conformal antenna on the aerial vehicle
Authors: Zhang Peng 
Published: August 2024

Abstract
A series-fed conformal microstrip antenna with the tail wing of a UAV(Unmanned Aerial Vehicle)is proposed and implemented in this paper. In the target frequency band, the antenna has a nice performance of omnidirectional radiation and high gain, which easily conforms with the tail wing structure, achieving good wind resistance characteristics and meeting the strict aerodynamic requirements of the UAV. The antenna radiator is etched onto a printed board with a dielectric constant of 2.2 and a size of 644mm×112mm×4mm. In addition, the radiator is fixed with PMI form and formed a tail shape with surrounding glass fiber cloth, which has strong rigidity as a whole and has passed the flight test. The test results show that the antenna achieves a gain of more than 4.2 dBi at 564-676 MHz, a gain of more than 5.6 dBi at 600-650 MHz, and a gain of less than 3dB at 564-676MHz. This proposed antenna has a reasonable structure and good performance, which is verified by engineering experiments and is suitable for harsh environment requirements. It is expected that this antenna has wide applications in high-speed UAV communication.
Radar signal sorting based on image semantic segmentation
Authors: Mei Jincheng , Li Chuang , Cao Yu , Wang Xuyang , Liu Ze 
Published: August 2024

Abstract
This paper explores the application of image semantic segmentation networks in radar signal sorting. Unlike traditional methods, it does not depend on predefined parameters or prior information, so it can show enhanced adaptability in dealing with a more complex electromagnetic environment. Firstly, the pulse descriptor PDW of collected signals is encoded into corresponding sequence images, and then U-net is used to train pulse sequence images. The trained model can be applied with high accuracy in radar signal sorting. At the same time, an attention mechanism is introduced into the U-net, which improves the recognition rate of signal features.
Research on laser communication ranging Integration and VLC nonlinear compensation technology
Authors: Liu Hao , Gao Qian , Li Ling 
Published: August 2024

Abstract
Visible light communication (VLC) is a new spectrum communication technology that provides a new direction to solve spectrum resource problems. The nonlinearity problem in VLC will lead to a significant reduction in the performance of the communication system. To solve this problem, this paper studies the integration of laser communication ranging and VLC nonlinear compensation technology based on analyzing the principles of ranging methods and factors affecting ranging performance. Aiming at the problem that the complexity of the Random Fourier Features Kernel adaptive filter (RFF-KAF) method will increase significantly as the dimension of the mapping space increases, we introduce some second-order Volterra series square terms into the input vector of RFF-KAF and propose an improved prediction method. Experimental simulation results show that the method proposed in this article can greatly improve the performance of the RFF-KAF method while maintaining the same mapping space dimension. Compared with obtaining similar performance by increasing the mapping space dimension, the cost of this method is greatly reduced.
A Comparative study of pseudoinverse and damped least squares approaches in inverse kinematics for a 5-DOF hydraulic arm
Authors: Hashem Muhamed M. , Ghamry Khaled A. , Saleh Amr , Elsherif Ibrahim A. 
Published: August 2024

Abstract
This paper presents a comparative study of two iterative methods for solving the inverse kinematics problem on a hydraulically actuated 5-DOF arm with non-standard geometries. The work aims to determine the joint angles required to achieve a desired end effector position and orientation, which indicates a specific displacement of the hydraulic actuators. A simulation model is used with the Pseudoinverse and damped least squares methods. The results show that using the model with both methods can be utilized to solve the inverse kinematics problem. The damped Least Squares method exhibits higher accuracy and robustness to singularities than the Pseudoinverse method, however, the Pseudoinverse method is more computationally efficient and can give results close to the damped least squares method but with some modifications. The paper concludes with implications of the findings and recommendations for future research, particularly in the application of these methods to real-world hydraulically actuated robotic systems.
Optimization of dielectric oils for immersion liquid cooling of server rack
Authors: Mohammed Nada , El-Maghlany Wael , Elhelw Mohamed , Abdelaziz Ahmed 
Published: August 2024

Abstract
In this research, two-phase immersion cooling is utilized to cool a server rack of 8 kW that contains 42 servers. Three-dimensional numerical simulation of server rack model is analyzed by ANSYS 18.1, Computational Fluid Dynamics (CFD). Comparative analysis between two types of dielectric engineered oils is performed, FC-72 and a new oil technology SF-33. The simulation shows a great decrease in temperature ranges for model using SF-33 oil with 34% decrease of the minimum temperature where the most surfaces of servers are at temperatures between 37 °C to 48 °C. Using SF-33 oil makes the hot spot temperature is higher than that for FC-72 by about 3°C. Power consumption for cooling with SF-33 oil is higher due to higher amount of vapor.
Performance Enhancement of Power-Cycle Hydro- Mechanical Transmission with Accumulator
Authors: Nagib Y M , Mokhiamar O , Elgamal H 
Published: August 2024

Abstract
In this study, a new power-cycling hydro-mechanical continuously variable transmission system (PCHMCVT) with energy recovery using an accumulator is proposed. The simulation of the basic characteristics of PCHMCVT is done using Simulink/Simscape and these characteristics have been validated with previous studies. The model is then used to examine the effect of adding energy recovery using an accumulator on the output power and the efficiency. The system is simulated on a driving cycle and the output velocity is investigated. The hydro-mechanical transmission system works in two modes of operation to improve the driving range. The effect of the accumulator is investigated in both of these modes. A comparison between the performance of the system with and without an accumulator is made to show the effect of the accumulator on the system and energy recovery. The results indicate that the energy recovery system can be utilized in both the driving and braking of the vehicle. The addition of an accumulator has improved the efficiency of the system by 8.1% and the power consumption of the engine has been reduced by 20.8%.
Optimizing Track Contact Length for Enhanced Dynamics and Performance of Tracked Vehicles: A Particle Swarm Optimization Approach
Authors: Elsharkawy Ahmed F. , Salem A. M. , Kamel Mohamed A. , Abdelshafy Mohamed H. 
Published: August 2024

Abstract
Through an in-depth investigation of tracked vehicle dynamics, this paper explores the crucial role that the track contact length (L) plays in affecting the dynamic performance of tracked vehicles. The study delves into the basic equations that control straight-line motion and turning as functions of track contact length, with an emphasis on these concepts. To improve the tracked vehicle’s overall performance, an optimization procedure is carried out using the Particle Swarm Optimization (PSO) technique that is implemented in MATLAB. The aim of this study is to clarify the complex relationship between track contact length and tracked vehicle dynamics, offering useful information for enhancing vehicles’ mobility. The study includes a pioneering validation, aligning computational results with real-world data, affirming the accuracy and practical utility of the designed code. This research provides valuable insights for designing tracked vehicles through offering a reliable guide for optimizing track contact length.
Developments of 7.62 x39mm armor piercing projectiles
Authors: Fayed A 
Published: August 2024

Abstract
Calibers 7.62 x39mm are one of the most common calibers used all over the world. As a result of developments of modern armors that become lighter, and with-stand more impact kinetic energies. Consequently, the development of ammunition becomes important to increase the combat ability of used weapons to face modern armors. In this paper, some modifications are already done in construction and design of existing bullets, in which the inner cores or parts of them are replaced by harder material, tungsten carbide, instead of lead or hard steel core. Some internal and external ballistic predictions are calculated to make sure the expected developments do not affect the weapons barrels compared with the original bullets and the check of the stability during the flight are also studied by using PRODAS package Resultant depths of penetrations are compared experimentally with that of original types, the experimental results show a noticeable increase in depth of penetration compared with that of original bullets.
Optimizing ORB-SLAM For Varied Weather Conditions Using Genetic Algorithm
Authors: Fekry John E. , Awad Mohammed I. , Ibrahim Fady 
Published: August 2024

Abstract
In the rapidly evolving domains of self-driving cars, the resilience of Simultaneous Localization and Mapping (SLAM) algorithms to varying environmental conditions remains a critical challenge. This paper leverages the CARLA simulator to create comprehensive datasets that encompass an array of weather scenarios, ranging from clear sky to complex combinations of fog and rain, during both daytime and nighttime. The primary objective of this study is to optimize the performance of ORB-SLAM2 under these harsh conditions, improving resilience and robustness against different weather conditions. The evaluation is conducted using the Root Mean Square Error (RMSE) as the key metric. Genetic Algorithm (GA) is developed to optimize the parameters of ORB-SLAM. The GA aims to reduce the RMSE for each unique weather situation. The results show a significant improvement in ORB-SLAM’s performance and resilience, contributing to its potential applications in the broader landscape of autonomous systems and intelligent mobility networks.
Modelling and Parametric Study for Panel Flutter Problem using Functionally Graded Materials
Authors: Fayed Mohamed E , Semary Mourad S , El Desouky A A , Ali Ehab , Tawfik Mohammad 
Published: August 2024

Abstract
In this paper we will demonstrate the possibility of weight optimization of panels under aero-thermal loading in hypersonic flow using functionally graded materials (FGM). The in-plane volume fraction of two constituents (Aluminium and Nickel) is modelled using polynomial distributions. Different material grading layouts are investigated, including cases with Nickel concentrated at corners, sides, midpoints and center. The solution of the problem utilized a higher order element with C1 continuity. The study covers the linear boundaries of the panel flutter problem as well as the non-linear post-buckling deflections. The results indicated Nickel placement strategies are shown to enhance dynamic pressure and vibration performance for a given mass reduction through optimal center and edge localization. Overall, the integrated modelling approach demonstrates the potential to systematically optimize stability, weight and integrity in hypersonic flow to optimize the weight of panels subject to aero-thermal loads.
Development of accurate contour residual stress measurement technique for sustainable structural integrity assessment in additive manufacturing
Authors: Sayeed Hossain Mohammad , Harthy Tariq Al , Naveed Nida , Garza Carlos 
Published: August 2024

Abstract
Accurate analysis of residual stress present within an engineering component plays a fundamental role to its sustainable structural integrity assessment. This is particularly important for a safety critical component within the power generation sectors, aerospace, and oil and gas industries. The accurate stress analysis not only allows operators to determine the life remaining in a component but also avoid over-conservative estimates and thereby contribute to life extension of engineering plants and components. By utilizing and unifying multiple residual stress analysis tools of different nature a robust and more accurate method of stress analysis is achieved. The main aim of the current study focusses on the development and optimization of a robust residual stress tool based on the contour technique to accurately analyse inherent stress in an engineering component.
Dynamic behavior of a wheeled rocket launcher using transfer matrix method of multibody system
Authors: Eisa H , Ahmed M Y M , Khalil M , Saleh S 
Published: August 2024

Abstract
One of the most sophisticated causes of unguided rocket dispersion is the uncertainties in launch conditions. This arises due to the fact that a launcher, in reality, shows dynamic behavior as it is a multibody system. This paper investigates the dynamic behavior of a wheeled rocket launcher that is loaded on a vehicle. The launcher and vehicle system are modeled as a multibody system using the transfer matrix method of multibody system (TMM). TMM is chosen due to its suitability for linear systems and its ability to obtain the overall transfer matrix for the entire system by performing successive matrix multiplications of the individual body’s matrix, thereby avoiding the complexity of solving the overall dynamic equations of the system. The developed dynamic model is then validated by comparing its results with those in the open literature using the Lagrange approach. The study considers dynamic loads that result from the rocket motion on the launcher. A parametric study is conducted to address the impact of launcher structural aspects. By investigating the dynamic behavior of the wheeled rocket launcher, this study aims to enhance the understanding of its performance.
Capacity optimization of a large-scale photovoltaic power generation system coupled with hydrogen production and storage based on economic analysis
Authors: Zhang Sheng , Li Bo , Xu Dongjie , Zheng Jinyang 
Published: August 2024

Abstract
The renewable energy system coupled with hydrogen storage has proven to be a suitable method to reduce the variability of output power and meet stable hydrogen supply demand. However, the excessive cost of hydrogen through water electrolysis using renewable energy restricts its application, and the capacity configuration of electrolyzers and gaseous hydrogen storage tanks is affected by the immoderate reliance on engineering experience, leading to the unbalance of generation side and hydrogen demand side. In this study, a 300 MW photovoltaic power generation system has been proposed to fit the raw material demand of a synthetic ammonia plant, i.e., around 1000 kg/h hydrogen. A simplified mathematical model including an electrolyzer and a hydrogen tank is proposed to get the best capacity configuration. The levelized cost of hydrogen (LCOH) is chosen as an optimization function, and a particle swarm optimization algorithm is adopted to get the optimal results. The simulation results indicate that the optimal capacity configuration is 176.36 MW for the electrolyzer and 14644.2 Nm3 for the hydrogen tank, and the LCOH is 30.31 Yuan/kg. Compared with the empirical model, the LCOH based on the optimization model is 8.87% lower than that of the empirical model, indicating better economic benefits of the optimization model.