bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computational analysis of influence of geometry on cfj airfoil aerodynamic coefficients
Authors: Vigneswaran C M , VishnuKumar G C 
Published: May 2023

Abstract
This research aims to examine the impact of the co flow jet (CFJ) airfoil profile on the aerodynamic coefficient through numerical analysis. The geometry of the CFJ airfoil is characterized by the placement and height of suction and injection slots. By adjusting it, the shape of a CFJ airfoil can be modified. Although the injection jet is the most essential factor in boosting the CFJ airfoil’s aerodynamic coefficient, the shape also plays a part in the lift augmentation process. The objective of this research is to study more about it. For this computational analysis, the Splarat Almaras turbulence model was chosen, and the flow is assumed as incompressible. The computational analysis is done through ANSYS 18.1 software. The structure of the CFJ airfoil changes as the location and dimension of suction and injection cavities are modified, which has a significant impact on the aerodynamic coefficients.
Assessment and comparison of thermal sensations for a traditional and modern building
Authors: Dębska L , Krawczyk N 
Published: May 2023

Abstract
The proper design of buildings should ensure that the indoor conditions are comfortable, and users experience thermal comfort throughout the year, especially in sophisticated, modern intelligent buildings. The existing model of thermal comfort comes from the 60’s/70’s and was the basis for the ISO 7730 Standard. It utilizes the concept of the PMV (Predicted Mean Vote) and PPD (Predicted Percentage Dissatisfied) indicators. The current paper compares the actual expressions of people (as indicated by them in the anonymous questionnaires) with the PMV/PPD values calculated according to the Standard. Differences between these values have been discussed and conclusions have been drawn as to the usability of this thermal comfort model in intelligent buildings, which still seem to be a novelty in Central European countries and data on their thermal comfort performance is still quite modest.
Traffic congestion control by monitor illegal parking and enabling intimation
Authors: Gomathi V , Sai Sumanth G , Charansai G , Charan Galla 
Published: May 2023

Abstract
The population growth is high, and day by day it increases in the world, there is also a huge growth towards technologies. The technologies aims at reducing the human workload by that it saves human time. In such case, the increase of automobiles in this generation is very high compared to the olden days. Due to the increase of such automobile, there is also a gradual increase in terms of traffic in the countries. We wait for a long time based on the traffic in the cities. The main cause for some traffic to occur is due illegal parking on roads and other areas. In order to beat this drawback, we tend to propose a way to avoid traffic. This paper is about giving a clear indication to the driver indicating the parking status of the driver’s vehicle. This methodology permits the reduction of congestion caused by misappropriated parking of vehicles.
Application access for chromatic color detection
Authors: Umarani V , Dimpusowjanya M , Poojitha Dodla , Sriya Gurijala Sai 
Published: May 2023

Abstract
The process of identifying specific examples of an item inside an image or video is referred to as “object detection,” and it is one of the computer vision techniques. When individuals look at pictures or movies, they are able to recognize and find things that are of interest to them. The primary goal of the field of object recognition is to achieve this level of intelligence via the use of a computer. Image segmentation and blob analysis, which uses simple object properties such as size, shape, or color, and Feature-based object detection, which uses feature extraction, matching, and RANSAC to estimate the location of an object, are two of the many common techniques that are used in conjunction with deep learning and machine learning-based object detection. There are also many other common techniques that are used in conjunction with deep learning and machine learning-based object detection. The most challenging aspects of object detection are the processes of categorizing things and pinpointing their locations. When seen from a different perspective, the same object might seem to be completely different. Detection algorithms have a tough time distinguishing between various things at different scales and perspectives since the sizes and proportions of items almost always alter. The camera input would be used to determine an object’s shape, according to this project’s proposal. Circle, square, and triangle are the three distinct shapes that we are determining an item to be right now. The finished result is shown in MATLAB’s graphical user interface (GUI). The productive identification process is carried out with the assistance of MATLAB. Using the SFTA Algorithm, the application extracts features from the specific image of a video. The neural network algorithm is used to classify the image of video. Image segmentation and image detection are two examples of related computer vision methods that are inextricably intertwined with object recognition. These techniques allow us to better comprehend and analyze the situations shown in movies and still photographs. It has been determined whether or not the suggested system is suitable. Because of this, the testing has shown that the suggested system generates generally accurate indications of real performance at a rate of 99.4%.
Millimetre wave antenna for biomedical applications-a review
Authors: Mohan Nadar Akila P , Indhumathi K 
Published: May 2023

Abstract
Terahertz represents the portion of electromagnetic wave between the microwave and IR region. Recent research has been focused on the application of Terahertz waves in biomedical applications such as cancer detection. The current diagnostic methods in cancer treatment involve imaging to MRI and biopsy. Due to the low photon energy that terahertz possess, there are no health threats caused in contrast to traditional methods. Cancer cells can be detected by monitoring the blood supply to the affected tissues and water level in the local tissues. This can be diagnosed using Terahertz imaging. THz radiation can be generated and detected using various commercialized systems. On analysis of various literatures, it is observed that Meta material antennas will be the suitable candidate to enhance the existing terahertz spectroscopy techniques since it has better focusing capabilities. This paper reviews the various implementation techniques of an antenna in THz range. The design and properties of the antenna are also investigated.
Research and Implementation of USV by Adaptive Collision Avoidance Algorithm in Mixed Scenarios
Authors: Hu Pei Lin , Xiao Jin Chao , Xiong Jun Feng , Liu Jin Qing 
Published: May 2023

Abstract
During the mission of the USV (Unmanned Surface Vehicle), there may be some static or dynamic obstacles on the pre-planned track that are not displayed on the ground station. To avoid these obstacles in time, a model of DCPA (distance to the closest point of approach) between the USV and the obstacle is proposed, which is used to plan the speed of the USV, and adaptively accelerate and decelerate can safely avoid dynamic obstacles. We solved the problem of target unreachable and heading change optimization by planning the heading at IAPF (improved artificial potential field) in the process of sailing, which can effectively avoid static obstacles and respond to collision avoidance in emergencies. The collision avoidance planning outputs a set of behavior vectors (speed, heading), and hands it over to the USV controller to control the navigation of the USV. In this study, an adaptive speed and heading planning method is used to improve the collision avoidance ability of the USV in the mixed scene of dynamic and static obstacles. Through multiple launching experiments, the actual collision avoidance effect of the method is verified, and the safety and reliability of the USV application requirements are met.
PID parameter tuning based on improved particle swarm optimization algorithm
Authors: Shi Peidong , Jianchuan  , Xianyu  
Published: May 2023

Abstract
To address the shortcomings of the particle swarm algorithm in solving the PID controller parameter optimization problem in the late stage, an improved particle swarm algorithm is proposed for solving the problem. The particle swarm algorithm is optimized by introducing a nonlinear decreasing inertia weight adjustment strategy so that the pre-flight speed of the particles does not drop too fast, thus balancing the global search ability of the particles with the local search ability and avoiding falling into a local optimum. Simulation experiments were conducted in Matlab/Simulink using the standard PSO, ZN formula method, and the improved PSO, respectively. The results show that the improved algorithm enhances the stability, convergence speed, and search accuracy of the PID parameters with better performance indicators.
Automatic cloud detection method for optical remote sensing images combining channel attention mechanism and multi-feature fusion
Authors: Tan Shuyang , Zhang Jiaxing , Yang Jiaxin , Zhang Zheng 
Published: May 2023

Abstract
Cloud detection is a crucial step in remote sensing image pre-processing, but there are still issues such as cloud miss detection and false detection. Therefore, this work suggests a multi-feature fusion and channel attention mechanism combined approach for automatically recognizing clouds. Based on DeepLabV3+, to make the feature extraction faster and more accurate, a lightweight network structure MobileNetV2 is used as the backbone network. To effectively distinguish snow and clouds, channel attention is added to the low-level semantic information, which makes the network more able to focus on essential features. Meantime, mid-level semantic features are added to the decoder module to make use of more abundant features, thus reducing the false detection of mist. Experimental findings on the GF1 WHU dataset demonstrate that the method’s detection accuracy is improved by 2.1% when compared to DeepLabV3+, and it performs well in the cloud detection job of optical remote sensing images.
Surface Mounted Production Line Capacity Prediction Based on Data Driven
Authors: Zha Shanshan , Shao Hao , Zou Wenzhong , Li Luyang , Chu Yiqun 
Published: May 2023

Abstract
Capacity prediction of surface mount production lines is important for improving productivity, dynamic production scheduling, and optimizing production structure. An integrated mutual information-cuckoo search-extreme learning machine (MI-CS-ELM) prediction model is proposed for the impact of nonlinear and high-dimensional features of surface-mounted production lines on capacity. Firstly, the features affecting the production capacity are ranked based on the mutual information method, and the predictive input data set is reconstructed. Secondly, the input parameters of the prediction model are adjusted by the cuckoo search algorithm and the capacity prediction model is built based on an extreme limit learning machine. Finally, the rationality of the proposed method is verified by an example to guide capacity planning and production scheduling optimization.
Research on the stress intensity factor of crack on the finite width plate with edge damage based on the finite element method
Authors: Yuan Hong , Zhang Hao 
Published: May 2023

Abstract
In aircraft structure maintenance, when we remove edge cracks of some structures, such as aircraft skin, or frame edges, the removal depth and radius affect the stress intensity factor of the crack tip, thereby affecting the service life of the structure. In this paper, we use the finite element method to calculate the crack stress intensity factor of the finite width plate and compare it with the engineering analysis method, which proves the effectiveness of the finite element method. We further research the influence of the crack stress intensity factor with different edge damage depths and radii of the finite width plate, which will provide a reference for aircraft structure edge damage tolerance analysis in engineering.
Design and Research of Robot Image Perception System Based on Artificial Intelligence
Authors: Guo Lina , Cheng Kun , Jia Lianqin 
Published: May 2023

Abstract
In recent years, with the rapid development of science and technology, the performance and functions of traditional robots have gradually failed to meet people’s needs for production and life, and the development of robots has gradually become intelligent and networked. Among them, as the core technology of mobile robot positioning and navigation, environment perception technology has always been the focus and hot research issue in the field of robotics. This paper mainly studies the design of a robot image perception system based on artificial intelligence. In this paper, a tetrahedral robot image-sensing system based on a panoramic camera is proposed and designed, and a U-net convolutional image semantic segmentation network is designed.
Path Avoidance System of Intelligent Robot Based on Computer Vision
Authors: Ren Hongfei 
Published: May 2023

Abstract
At present, obstacle avoidance technology is widely used in the military field, scientific detection, traffic control, industrial manufacturing, medical service, and many other fields, and various machines with autonomous navigation and obstacle avoidance capabilities have been used to varying degrees, thus replacing some human daily production activities and bringing many conveniences to people’s lives. The key to autonomous obstacle avoidance is to obtain the direction information of the obstacle in its direction of advance in real time, which is also the precondition of obstacle avoidance system in obstacle avoidance path planning. In this paper, an intelligent robot path avoidance system is designed based on computer vision (CV) theory. The binocular vision ranging experiment verifies that the system has a less ranging error and can effectively detect the location of obstacles within a certain range, and the success rate of intelligent robot avoidance of obstacles reaches more than 96%, achieving a good avoidance effect.
3D Reconstruction Method of Carbon Fiber Reinforced Plastics Components Based on Pre-calibration Measurement Pose
Authors: Zhang Jianhui , Wang Tianao , Chen Suming , Yue Shan , Wang Guolei 
Published: May 2023

Abstract
According to the surface reflection characteristics of carbon fiber reinforced plastics and the geometric characteristics of aircraft panel parts, a robot automatic measurement system based on line laser scanning is designed. The selection criteria of measurement pose and the pre-calibration method of measurement pose based on a laser tracker are given. A 3D reconstruction method of global stitching of large-scale parts based on pre-calibration measurement pose is proposed, Finally, the correctness and effectiveness of the proposed method are verified by measuring typical samples with a prototype system.
Simulation Study on Safe Distance between Crane Boom and High-Voltage Line Based on Electric Field Intensity
Authors: Luo Xi , Yin Mengqi , Xu Ce , Tang Guanrong 
Published: May 2023

Abstract
Aiming at the safety accident caused by the close distance between the crane arm and the high-voltage line when the crane is working near the high-voltage transmission line, this paper proposes a simulation model of the electric field intensity distribution of the high-voltage transmission line. First, through the simplification and equivalent treatment of the high-voltage line, the simulation modeling, and analysis of the electric field around the high-voltage line are carried out. Then, the theory of solving the electric field intensity of any point around the high-voltage line based on the charge simulation method is deduced, and the conclusion that the electric field intensity at the equal distance of the high-voltage line is approximately equal is obtained. Furthermore, the influence of the crane on the electric field strength of a high-voltage line is analyzed, and the linear correction function of electric field strength is obtained. Based on the research in this paper, the field strength sensor can be used to obtain the value of the electric field strength, calculate the distance between the crane and the high-voltage line, and make a safety warning response. The simulation results verify the feasibility and effectiveness of the proposed model and method.
Rerouting planning of suborbital debris hazard zone based on reinforcement learning DDPG
Authors: Chen Wantong , Cheng Zhiye 
Published: May 2023

Abstract
Aiming at the debris hazard area caused by the explosion and disintegration of the suborbital vehicle, the plane convex hull divide and conquer method is used to process the physical boundary which is in accordance with the air traffic control rules. On this basis, a new method of civil aircraft rerouting planning based on reinforcement learning DDPG algorithm is proposed. According to the state-action space DDPG algorithm, the reward function is optimized to achieve the effect of reasonable routing. With the increase in training times, the reward curve gradually becomes stable and converges in a certain time step, which verifies the effectiveness of the route change planning method.
A Mobile Design of an Inverter Circuit based on Arduino and SIMULINK
Authors: Chen Wanbo 
Published: May 2023

Abstract
Nowadays, with the development of electric engineering, the majority of current civilian sources are portable, such as the battery. However, most of them are only able to output DC without a power inverter, so a power inverter must be applied. To realize the reduction of the volume of the inverter, this solution is based on the combination of MCU (microprogrammed Control Unit) and traditional inverter circuit, because of the limitations of the breadboard. The rationale is that by changing the state of thyristors with a certain frequency by input pulses from an MCU, the current direction flow is changed through the inductor. In this way, alternating currents are created. This design is first verified in SIMULINK, where the chosen MCU for physical construction is the Arduino series.
Diode-Pumped Intracavity OPO KTP/YAG:Nd3+ laser for Cr2+:ZnSe pumping
Authors: Smirnov I V , Zverev P G , Sirotkin A A 
Published: May 2023

Abstract
Electro-optically Q-switched side-pumped diode-pumped KTP/YAG:Nd3+ nanosecond laser system with an intracavity collinear optical parametric oscillation was proposed as a pump source for Cr2+:ZnSe laser. Energy parameters of Cr2+:ZnSe laser were investigated with respect to the wavelength of the pump laser. Under optimal conditions, pumping with laser pulses with an energy of 10.5 mJ and a duration of 7.2 ns at a wavelength of 1950 nm allowed to obtain 3.2 ns pulses at a wavelength of 2494 nm with slope optical-to-optical conversion efficiency of 5.5%.
High efficiency in-band pumped Tm- and Ho-doped 2-μm solid-state lasers
Authors: Antipov O.L. 
Published: May 2023

Abstract
The expansion of laser sources operating at 2-3 μm is motivated in large by strong absorption in atmospheric gases, liquid water, and plastics, critical for applications in remote sensing, soft and hard tissue surgery, and materials processing. 2-μm novel solid-state lasers based on Tm3+-doped ceramics (Lu2O3 or Y2O3) or YAP crystals in-band pumped by a fiber laser at 1670 nm are presented in this report. CW, actively or passively Q-switch operations of the Tm3+-doped lasers are described. The Tm3+ laser characteristics are compared with parameters of an in-band fiber-laser-pumped Ho3+:YAG laser. The 2-μm output of the lasers are used to pump the Cr2+-doped ZnSe or CdSe crystals. The lasers based on the Tm3+:Lu2O3 ceramics and the Tm3+:YAP crystal are also used as pump sources for mid-IR optical parametric oscillators (OPOs) or second-harmonic generators (SHGs). The high-efficiency oscillations are obtained at 3.8-4.1 μm in the OPOs based on a fun-out PPMg:LN; the SHGs provided the repetitively-pulsed radiations at 970-983 nm.
Condensate States of Atomic Bose-Fermi Gas Mixtures
Authors: Bolech C. J. , Clayton Peacock J. , Ljepoja Aleksandar 
Published: May 2023

Abstract
We report on the different types of condensates possible in two-component atomic gas mixtures in one dimension involving both bosons and fermions. When the interactions are attractive, we show there is a rich variety of coherent ground-state phases that vary with their intrinsic and relative strength. We avoid any artifacts of lattice discretization by developing a novel implementation of a continuous matrix-product-state ansatz for mixtures that we first show to systematically converge towards exact results for the Lai-Yang-model integrable case.
Research on Intelligent Identification of Magnetizing Inrush Current based on Empirical Modal Decomposition
Authors: Duan Pan , He Ya , Zhang Lianfang , Shi Yingqiao , Yu Yuxin , Wan Haibo 
Published: May 2023

Abstract
The accurate identification of the converter transformer magnetizing inrush current can ensure the safety of the operation of the UHV DC transmission system. In the differential protection of the converter transformer, it is extremely hard to distinguish between the excitation inrush current generated when the transformer is closed and the Fault current due to internal fault, which leads to frequent misoperation of the transformer protection to the extent that the transformer access fails. This paper proposes a current identification model based on empirical modal decomposition (EMD) and probabilistic neural network (PNN) algorithm with particle swarm (PSO) optimization. The EMD algorithm decomposes the current waveform, and the eigenmode functions (IMFs) of the three highest correlation bars are selected. The energy, cliffs, and standard deviation of the IMFs are extracted as the original waveform eigenvectors.
Research on power balance control method of microgrid energy storage unit
Authors: Fu Yongjun , Guo Xiaoyu , Jiang Chaopeng , Yu Hao , Liu Yujia 
Published: May 2023

Abstract
In the isolated island operation of microgrids, affected by the different equivalent circuit impedance between distributed generators, the traditional droop control cannot evenly divide the reactive power borne by distributed generators according to the different line impedance. Therefore, firstly, the reasons affecting power sharing are analyzed, and then an improved droop control method based on traditional droop control is proposed; that is, the time change rate of voltage is used as the droop variable, and a voltage recovery mechanism is added to the reactive droop controller, in order to adjust the reciprocal of voltage to zero in the steady state, so as to stabilize the voltage. Aiming at the problem that the droop controller cannot always realize the equal distribution of reactive power, a voltage compensation link suitable for improved droop control is designed and added to eliminate the line impedance difference between distributed generators and improve the accuracy of reactive power distribution. Finally, the effectiveness and feasibility of the proposed control strategy are verified by building a “wind light storage load” microgrid simulation model on the MATLAB / Simulink platform.