bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Time and Energy Dependence of the Vela Pulsar’s Pulse Profile in γ-Ray
Authors: Yan Lin-Li , Ge Ming-Yu , Tuo You-Li , Wang Ling-jun , Zhou Qing-yong 
Published: February 2022

Abstract
We analyze the time and energy dependence of the Vela pulsar’s pulse profile using 13 yr observations from the Large Area Telescope on the Fermi Gamma-ray Space Telescope. It is found that the pulse profile of the Vela pulsar in γ-ray changes with time. We parameterize the pulse profile and find that different shape parameters show fluctuations rather than gradual changes with time. However, these time variation trends are insignificant due to limited statistics. The pulse profile of the Vela pulsar displays clear energy dependence in γ-ray. Different shape parameters are accurately obtained or updated, especially the phase separations among different pulses. Their energy evolution trends are quantified for the first time, which will provide restrictions on current γ-ray emission models. For the Vela pulsar, we also find a turning point at phase. Before and after this phase, the relative intensity of the pulse profile evolves with energy with the opposite trend.
The Application of Parametric Method in the Stability Analysis of Aerial Work Platform
Authors: Zhao Jian , Ma HongFeng , Zhao ZhenRen 
Published: February 2022

Abstract
It is difficult to change parameters and easy to make mistakes for stability analysis of aerial work platform. In order to simplify the analysis process, a professional mechanical CAD software is developed for stability analysis of aerial work platform to realize the input design parameters and output the result of calculation. It provides the reference to design the preliminary scheme of the product for the designer. It is applied to the stability analysis of aerial work platform.
Pressure Prediction Model in Transition Ladle based on Adaptive PSO-BP Neural Network
Authors: Liu Xianhe , Tian Jianyan , Li Bo , Lv Yongfeng 
Published: February 2022

Abstract
Generally, the pressure in the transition ladle during the manufacturing of amorphous alloys could be influenced by numerous factors. Given these issues, BP neural network is employed in this paper to ensure the prediction of the pressure in the transition ladle in the production of amorphous alloys, and adaptive PSO is adopted to adjust the weights and thresholds. The particle swarm is adaptively divided by the median value, the best location is searched locally, and the flight direction and speed of each particle are adjusted to obtain good results. Finally, emulations are performed using the amorphous alloy production site data of a steel plant. The results demonstrate that the pressure prediction model has higher prediction precision in the transition ladle established by the adaptive PSO-BP neural network. This can lay a foundation for the latter pressure control settings in the transition ladle.
A Minimal-overhead Multi-cloud Data Placement Strategy Based on Heuristic Algorithm
Authors: Xu Kun , Chen Weiwei , Zhang Yanan 
Published: February 2022

Abstract
Multi-cloud storage can provide better service levels than single cloud storage in terms of confidentiality, integrity, and availability at a low cost. More and more customers are storing data in multi-cloud storage systems. However, inefficient data placement is a challenge for multi-cloud storage, and current research has the problem of low algorithm efficiency. In response to this problem, a multi-cloud storage data placement optimization strategy, MPO-MO, is proposed for minimum overhead requirements. MPO-MO models availability and cost, and provides users with the lowest cost multi-cloud storage data placement strategy while meeting the specified availability constraints. A heuristic algorithm is proposed, which uses the sorting information of storage price and traffic price to select cloud storage services. According to analysis, the heuristic algorithm adopted by MPO-MO greatly reduces the optimization space compared with the traditional algorithm, and the efficiency is significantly improved. Finally, experiments prove the effectiveness of MPO-MO.
Target recognition of heterogeneous fusion images based on improved YOLO model deep learning algorithm
Authors: Wang Yufei , Qi Chengchao , Du Qinglei 
Published: February 2022

Abstract
Aiming at the problem of target recognition of heterogeneous fusion images, the algorithm flow and network structure of the YOLO convolutional neural network model are analyzed and explained based on the deep learning of the convolutional neural network. Combining the characteristics of the fusion image, the interface, structure and parameters of the YOLOv3 convolutional neural network are improved and adjusted while the recognition effect is guaranteed, the YOLO model is streamlined, and the training is successfully implemented and the training weights are output. The algorithm is effective and stable, and the recognition speed is faster.
UAV Object Detection Model Based on Improved Ghost Module
Authors: Yan HaoWen , Wang Yong 
Published: February 2022

Abstract
UAVs with computer vision functions have been widely used in various fields. However, due to the limited memory and computing power of embedded devices, the real-time scene analysis of detection algorithm running on UAV platform is still a challenge. To face the challenge, in this paper, we based on the YOLOV3 detection model by changing the convolution method and using fewer parameters to generate more feature maps. We evaluate our detector on the VisDrone2020 dataset. Compared with the original YOLOV3, we achieved impressive results, including a reduction of 76.38% of the parameter size, 77.95% of floating-point operations, and a considerable accuracy rate and faster inference speed.
Data Processing Mechanism and Algorithm Optimization for Radiated Emission Measurement of Electronic and Electrical Equipment
Authors: Zhou Yi , Zhang Ying , Murong Haoding , Liang Chengbo , Xie Jinxiong , Xu Beibei 
Published: February 2022

Abstract
Radiated emission is one of the most important measurement items in the field of electromagnetic compatibility. The measured value of field strength often deviates from the real value to a certain extent. According to the characteristics of typical log-periodic dipole array antenna, the relation between antenna resonance unit and frequency, as well as the position relation between phase center and calibration reference point, the calculation formula of field strength correction factor is derived. The correction factor of field strength in the 30MHz-1GHz is also calculated precisely. The data processing mechanism of radiated emission measurement is clarified. An optimization algorithm for the measurement of radiated emission is obtained eventually. After the test value is optimized by the correction factor, more accurate field strength can be obtained. The optimization interval is within (-0.348, 2.741) dB. As a data processing mechanism of the radiated disturbance, it can not only improve the accuracy of measurement, but also reduce the uncertainty and error.
Composite Insulator Defect Identification and Quantitative Method Based on Random Hough Transform Ellipse Detection
Authors: Wei Zi-xiang 
Published: February 2022

Abstract
To reduce the great influence on the operation of the transmission lines resulted from the external force damage of the insulator, and to improve the operation and maintenance level of the lines, a composite insulator defect identification method based on random Hough transform ellipse detection is proposed in this paper. This method takes the image of the insulator taken by drone aerial photography as the research object. First, the edge of the insulator is extracted by the Canny operator. Then, an ellipse curve fitting is applied to the extracted edge. Finally, the edge curve of the composite insulator is compared with the fitted elliptic curve, and the defect area is identified. This method cannot only identify the breakage state of the insulator, but also evaluate the degree of damage by comparing the damaged area.
A new flow velocity measurement method based on the ring electrostatic sensor
Authors: Wang Xiao-lei 
Published: February 2022

Abstract
Gas-solid two phase flow widely lies in industry process, while its parameters measurement (flow velocity, the mass flowrate, particle sizes, et al.) is very difficult. This paper mainly studies the solid phase flow velocity measurement questions of gas-solid two phase flow with the ring electrostatic sensor. During the flow velocity measurement study, a new mathematical model of the electrostatic sensor is established, and by simulating the obtained model the spatial filter characteristics of the electrostatic sensor are obtained. By the spatial filter characteristics analysis of the ring electrostatic sensor, a new flow velocity measurement method is obtained in this paper. At last, some experiments are accomplished in the laboratory with line sand. The new method of measuring flow velocity is effective in these experiments. The flow velocity obtained with the new measuring method is calibrated with the cross-correlation velocity. When the line sand velocity is less than 7m/s, the repeatability error of the measured velocity is less than ± 10%.
Design and Application of Storage and Inspection Integration Assembly Line for Distribution Automation Terminal based on RFID Technology
Authors: Yin Hui , Gu Lingyun , Chen Jie , Wang Haibo , Che Wei , Xin Qian 
Published: February 2022

Abstract
Acoording to the needs of large-scale power distribution equipment testing and quality control, a storage and inspection integrated pipeline management and control system based on radio frequency identification technology has been constructed. The overall design ideas, key functions and business processes of the system are described, and implementation methods are introduced in detail. After pilot application, the system completed the real-time update of the whole process quality inspection data information, such as the test progress, detection data, and storage status, which improved the detection efficiency and management cost, greatly reduced the manpower input, and realized integrated management and pipeline inspection of internal resource.
Design of transformer load management system based on multi-resources data
Authors: Fan Qiang , Chen Yuanyuan , Li Bowen , Guo Lisa , Chen Yafei , Xiao Shuzhou , Zhao Chao 
Published: February 2022

Abstract
Ensuring data quality, the main transformer load risk assessment model based on load rate characteristics is established. Further, using deep learning algorithm, the main transformer heavy and overload risk prediction model is constructed to realize the risk grade assessment and risk prediction on load feature defects. Finally, through the construction of the system platform, the basic functions such as multi-dimensional index calculation, statistics and visual display of real-time load characteristics of the main transformer are realized.
High speed data transmission method of substation intelligent auxiliary monitoring system
Authors: Zhang Li , Huang Xiongjian , Han Haojiang 
Published: February 2022

AbstractIn order to better ensure the effective operation of substation intelligent auxiliary monitoring system, aiming at the problems of slow data transmission speed and poor data processing security of current monitoring system, a high-speed data transmission method of the substation intelligent auxiliary monitoring system is proposed. By constructing the data processing platform of substation intelligent auxiliary monitoring system, the data transmission algorithm of auxiliary monitoring system is optimized, reasonably select the optimal path of data transmission and conduct security encryption processing, so as to improve the high-speed data transmission efficiency of substation intelligent auxiliary monitoring system. Finally, the experiment shows that the high-speed data transmission method of the substation intelligent auxiliary monitoring system has higher practicability in the process of practical application and fully meets the research requirements.
The Design of High-performance and Configurable Load Storage Unit
Authors: Ma Wentao , Huang Libo , Guo Hui , Cheng Yuanhu , Yang Ling , Tong Gan , Yan Run , Lan Mengqiao 
Published: February 2022

Abstract
A high-performance configurable load storage unit (LSU) design is completed under the open source RISC-V framework. By compressing the pipeline depth, the module function structure is optimized under the premise of the control unit overhead, and the instruction processing speed is improved. In the method of instruction processing, a partial out-of-order processing strategy is adopted to control the increase of module complexity, reduce instruction blocking, and increase the density of instructions flowing into the LSU and the write back speed; redirection technology is adopted, and 3 channels are added when writing back data, which improve the speed of data write back, reduce instruction blocking, and ensure the correctness of the data; in order to support the partial out-of-order processing of the load and store instructions and the data redirection function, a double buffer design is adopted, the issue port and write-back port have been expanded to improve the transmission speed and write-back speed of the command. At the same time, the unit adopts a configurable way to expand the function, and separates the additional functions separately. It has good configurability and provides a good design for the next step of function expansion. Experimental results show that, after optimized design, LSU has increased the speed of existing processors by 63.5%, and has huge potential performance in processing high-density and read-related instructions, while the unit overhead has been reduced, the overall performance has been significantly improved.
Non-singular Fast Terminal Sliding Mode Control of Wind Turbine Based on Combined Feedback of Power and Load
Authors: Hong Xuanyu , Li Jianguo , Liu Shichang , Chen Dianhui 
Published: February 2022

Abstract
A nonsingular fast terminal sliding mode control of wind turbine based on combined power and load feedback is proposed to deal with the problem of power instability and load imbalance of wind turbine when the wind turbine operates above the rated wind speed. The control strategy uses three independent nonsingular fast terminal sliding mode controllers to reduce the Tilt moment, Yaw moment and stable power on the hub fixed coordinate system respectively. Finally, the 2MW wind turbine is simulated by MATLAB and Bladed software, and the control strategies of three PI controllers are compared. The results show that the control strategy not only has a good effect on stabilizing the output power, but also has a prominent performance in reducing the unbalanced load of the wind turbine.
Heat transfer enhancement in double-pipe heat exchanger: A review
Authors: Kumar Singh Shailendra , Kumar Chauhan Manish , Kumar Shukla Anoop 
Published: February 2022

Abstract
Due to the wide need for heat transfer improvement in heat exchangers, it always stands a challenging field to grow effective and efficient heat transfer equipment with qualities of cost-effectiveness, reduced size, and maximum usage in a wide variety of applications under several operating conditions. The heat exchangers are mostly used to fulfil the requirements of high heat dissipation in industries. In this review article, a focused analysis is done on heat transfer improvement in double-pipe heat exchangers using different geometries in the flow, and heat transfer characteristics are also taken into consideration for the analysis. Many researchers have already analyzed a double-pipe heat exchanger as an experimental unit and with the help of simulation. Several past studies are examined and concluded to build an effective system using a heat exchanger. The significance of Prandtl number, Reynolds number, Nusselt number, and pressure drop coefficient quantities are shown in the studies. A close concern on nanoparticles in inside pipe is also studied for heat transfer improvisation using a double-pipe heat exchanger. New outcomes are perfectly verified and assist in the investigation of various other studies.
Performance Investigation of Sinusoidal Corrugated Absorber Plate Solar Air Heater
Authors: Kumar K , Debbarma A 
Published: February 2022

Abstract
This paper presents the CFD analysis of performance investigation of sinusoidal corrugated absorber plate solar air heater (SAH). The thermal performance is investigated with various inlet mass flow rates and solar heat flux. Simulation process of this model is carried out using CFD base analysis using Ansys (fluent) software. Air heater involving sinusoidal absorber plate, baffles and fin are modelled by ANSYS Workbench. Base model CFD results are validated against published ones and found to have a good agreement. In this paper we compare thermal efficiency and temperature at the exit of sinusoidal absorber plate solar air heater with fin, baffles and without fin and baffles. Baffles help in creating recirculation, separation and turbulence zones in the flow passage and fin helps in increasing the net heat transferring area between sinusoidal plate and flowing air. Thus, for the same size as the air heater, thermal efficiency increases. Thermal efficiency increases with rise in mass flow rate and outlet temperature decrease with the increase in mass flow rate. Computations are based on FVM, shear stress transport (SST) k-ω turbulence model, and SIMPLE algorithm has been implemented. CFD tool is used to find out the temperature distribution inside the solar air heater.
Solar-Powered Reverse Osmosis Desalination
Authors: Shukla Akhil , Agarwal Shubham , Narwat Kuldeep 
Published: February 2022

Abstract
With the dimension of renewable energy and resources from the earth, solar power has come as a bundle of a package for energy production by using PV solar cells for residential applications. Extension of freshwater from the earth produces water near a city in different parts of the worldwide is the serious problem especially in North African countries and the Middle East. So, for the survival of humanity, desalination is a necessity for the living and with the use of natural energy i.e., plenty of sunshine coming from the sun. With recent advancements in technology in the field of solar power & improving the design of energy conversion systems operating on solar energy harvesting & converting it into electricity with the help of thermopiles. The major focus is on designing & designing parameters with the overall performance enhancement of the proposed energy conversion system. Nowadays, solar energy can also be employed independently or with fossil fuels to reduce CO2 emission & the Levelized cost of power generation. But with the advancement of the supercritical Brayton cycle also informs the prospects of lower Levelized cost for higher efficiency at accessible temperature.
Thermal Management of Various Battery array arrangement at various Environmental conditions for hybrid and electrical vehicles
Authors: Aditya Mutha , Singh Sikarwar Basant , Singh Gautam Sachin 
Published: February 2022

Abstract
The current paper simulates the thermal management of Li- ion battery modules of 6x5, 3x10 and hexagonal array arrangements. High-fidelity 3-D CFD simulation is carried out using commercial CFD software ANSYS ICEPAK®. An experimental study of battery array arrangement of Li-ion was carried out for validating the simulation results. Forced air convection mode was used for transporting energy from the battery module to the environment. Post-validation, the thermal analysis of the various array arrangement of battery system was investigated at various environmental conditions. It was realized that the hexagonal array arrangement was more effective than the 6×5 and 3x10 cell arrangements for controlling the temperature within the cells and battery module. The convective heat transfer coefficient is optimized to maintain the optimal temperature ranges of Li-ion cells for different inlet velocities and ambient temperatures. Finally, Inlet velocities and duct sizes for different ambient temperatures were suggested for the effective and efficient functioning of Li-ion battery array arrangement for electric vehicles.
Effect of a Flat Plate on Drag Force Reduction and Heat Transfer Characteristics Around Three Heated Square Obstacles
Authors: Admi Y. , Lahmer E. B. , Moussaoui M. A. , Mezrhab A. 
Published: February 2022

AbstractIn this research, a numerical investigation is performed to simulate the fluid flow and the isotherms lines around three square cylinders placed side-by-side vertically and equally spaced in a bidimensionnel horizontal channel controlled by a flat plate at a fixed Reynolds number (Re = 100). The numerical approach used is the double multiple relaxation time of the lattice Boltzmann method (DMRT-LBM). The objective of the inclusion of the plate is to control the vortex shedding and improve the characteristics of the heat transfer around the squares cylinders. The numerical code is validated with the numerical and experimental results existing in the literature for flow past around a square cylinder with and without a control device. The impact of the length of a flat plate on the streamlines, the isotherms lines and the drag force are presented. The results obtained show the inclusion of the plate decreases the drag force and increases the thermal exchange.
Thermodynamics analysis and performance enhancement of battery thermal management system with suitable variations in operating parameters
Authors: Aryal Roshan , Anand Akshat , Kumar Saxena Nitin , Sharma Rohit , Kumar Niraj 
Published: February 2022

Abstract
Electric Vehicles (EVs) will be a major mode of road transportation in short period of time. Batteries are the major source of energy storage for propulsion of EVs in which Li-ion batteries are currently the most suitable option. A suitable temperature range of 15-400C must be maintained for optimal performance and safety of Li-ion batteries, which can be achieve through battery thermal management system. In this study, a PCM based thermal management system has been drafted by considering the heat dissipation rate for 1C, 2C and 3C discharge rate of Li-ion batteries and simulated in ANSYS FLUENT 19.2 software. Suitable alternatives are suggested for the efficient performance of battery thermal management and the effects are also discussed. The result shows that PCM based system was able to hold the battery temperature below 400C with 1C, 2C and 3C discharge rate for time interval of more than 3600 seconds. PCM based system with thickness 10mm shows better result when compared with 6mm and 8mm while the couple PCM based system performs better than PCM with capsule system.
Energy Management of Solar Thermal Battery: Issues and Challenges
Authors: Kumar Yadav Deepak , Kumar Singh Rajeev , Singh Sikarwar Basant 
Published: February 2022

Abstract
Fossil fuels are the major source of energy in developing countries but problems like generation of greenhouse gases and financial burden on the economy due to import are the problems associated with it among others. The use of renewable energy sources like solar energy is increasing now a days but problems like fluctuation of energy in day and time dependent availability hindered its implementation at large scale. This problem can be overcome by the application of solar thermal battery that store the solar energy in various forms. In this paper, state-of the-art of energy storge and their issues and challenges of in form of sensible, latent and thermo-chemical system were presented. Later, experimental study of tailoring paraffin wax for storing the solar energy in form latent heat were presented. It is concluded that pure paraffin wax is not appropriate energy storage material in form latent heat because of low thermal conductivity. State of the art of enhancing the thermal conductivity of various phase change materials were also reported.