bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Fabrication of QN9080DK Based Bluetooth 5.0 Fingerprint Lock Controller
Authors: Guo Yong , Xiong Cheng , Wang Yu , Wu Shikai , Luo Le , Fu Qiang 
Published: January 2022

Abstract
The QN9080DK is a development board from NXP specifically for the wireless access market, which has an integrated QN9080 Bluetooth system-on-a-chip (SOC) with an Arm CortexM4F core and a dedicated fusion sensor coprocessor. In this paper, with the help of MCUXpresso integrated development environment (IDE), SDK, CrotexM4F core, Bluetooth 5.0, serial communication, Arduino software and hardware and so on, a Bluetooth fingerprint lock controller is designed and fabricated. The lock controller has the functions of user Bluetooth password access and unlocking, fingerprint entry, fingerprint unlocking and fingerprint permission deletion, etc. After the joint debugging of system software and hardware, the designed Bluetooth Low Energy (BLE) 5.0 fingerprint smart electronic lock controller meets the expected requirements.
Analysis of Group Delay and Phase Delay Algorithms for Short Baseline Interferometry
Authors: Li Dong , Jiao Yiwen , Mao Feilong , Gao Zefu , Ge Pengcheng , Sun Kuanfei 
Published: January 2022

Abstract
As a fast direction finding technology, interferometry has the advantages of simple algorithm and high sensitivity, so it is widely used in various direction finding systems. Short baseline interferometer Angle measurement is the basic principle of phase Angle measuring method, it is using the delay difference between different receiving station in the system to obtain the target azimuth information, has the advantage of high accuracy of Angle measuring, but interferometer is inevitable during the high frequency signal direction finding Angle measuring fuzzy problems exist, in order to solve this problem in general with phase delay method improve the interferometer Angle measurement accuracy, The group delay method is used to deblur. In this paper, group delay and phase delay algorithms are simulated and analyzed, and the simulation results prove the effectiveness of the proposed method.
Structural Optimization Design Based on Improved Ant Colony Algorithm
Authors: Jun Deng Jian , Zhang Lin , Wu Da 
Published: January 2022

Abstract
Ant colony algorithm is a kind of bionic intelligent algorithm, which is suitable for combinatorial optimization. The principle and calculation flow of ant colony algorithm is discussed in this paper, how to use improved ant colony algorithm to solve the optimization problem of truss structure is analyzed, the optimization problem of 13-bar truss structure is calculated. The results show that ant colony algorithm has certain advantages in solving the structural optimization problem with discrete design variables.
Research on Programming Model and Compilation Optimization Technology of Multi-Core GPU
Authors: Chen Liyan 
Published: January 2022

Abstract
GPGPU (General Purpose Computing on Graphics Processing Units) has been widely applied to high performance computing. However, GPU architecture and programming model are different from that of traditional CPU. Accordingly, it is rather challenging to develop efficient GPU applications. This paper focuses on the key techniques of programming model and compiler optimization for many-core GPU, and addresses a number of key theoretical and technical issues. This paper proposes a many-threaded programming model ab-Stream, which would transparentize architecture differences and provide an easy to parallel, easy to program, easy to extend and easy to tune programming model. In addition, this paper proposes memory optimization and data transfer transformation according to data classification. Firstly, this paper proposes data layout pruning based on classification memory, and then proposes Ta T (Transfer after Transformed) for transferring Strided data between CPU and GPU. Experimental results demonstrate that proposed techniques would significantly improve performance for GPGPU applications.
Discrete-Time Modelling to Determine the Possible Operation Points of Incomplete-Resonance Wireless Power Transfer System
Authors: Luo Daqing , Hong Jianfeng , Chen Wenxiang 
Published: January 2022

Abstract
The Independent energy injection and free resonance (IEIFR) system is a type of incomplete-resonance wireless power transfer system, which has a great tolerance with control strategy. This article uses a discrete-time modelling method to determine its all possible and rational operation points. This method samples the state variables with the switching cycle and once the system achieves steady-state, the mapping between those samples is a fixed point mapping. Combined with the known mode analysis, the rationality of those possible operation points can be verified. After the experiment verification, this method is helpful to analysis the incomplete-resonance wireless power transfer system.
Modeling and Simulation of Rock Bits Based on Mega Drilling Data
Authors: Wu Zebing , Jiang Mengjie , Zheng Weixin , Gu Yabing , Zhai Xiping , Yang Chenjuan 
Published: January 2022

Abstract
Rock bits directly undertake the task of fracturing rock under earth during drilling operation. Accurate prediction of Rate of penetration (ROP) play an important role in reducing drilling costs and shortening the drilling cycle. This paper introduces ROP prediction methods including empirical mathematical modeling, computer simulation of bit-rock interaction and BP neural network model based on mega drilling data. The most significant factors affecting ROP are summarized as follows: weight on bit(WOB), rotation speed, rock formation properties, bit cutting structure, etc., which have a complex multi-parameter nonlinear relationship with ROP. The drilling data features complexity and big volume. Therefore machine learning is a best way to model the relationship between main factors and ROP. The advantages and disadvantages of the different ROP modeling methods are analyzed and compared. It shows that the BP neural network model based on mega drilling data demonstrates high accuracy, and is the future development direction in ROP prediction.
Modeling of Film Formation in Airless Spray
Authors: Yang Guichun , Chen Yan , Chen Shiming , Zhang Fei 
Published: January 2022

Abstract
Aiming at the spraying process of airless atomization spraying, a coating film forming model based on Euler-Lagrangian method is proposed. A Rosin-Rammler atomization model was established. In the spraying model, for the discrete phase, a force balance equation is established. At the same time, a continuity equation and a momentum equation are established to describe the motion of the continuous phase. The momentum equation of the continuous phase is closed by the standard k-ε model. The continuity equation and momentum equation are established in the adhesion deposition model to solve the coating thickness. PC-SIMPLE algorithm was used to solve the model. Finally, the dynamic spraying simulation is verified through experiments, and the numerical simulation results are in good agreement with the experiments as a whole. It is proved that the film forming model can be used to predict the film forming results of airless spraying.
Grid Data Inventory Model Based on Improved Redundancy Elimination and Label Extraction
Authors: Chen Ming , Ding Xue , Yuan Limin 
Published: January 2022

Abstract
In view of the difficulty of data inventory caused by the large amount of accumulated data of the current grid business data, multiple data sources, and complex data, this paper proposes a data inventory scheme for structured data and unstructured data. Firstly, this paper uses the YOLOv3 deep learning network to label unstructured data to convert unstructured data into structured data; Secondly, the Semantic Hypergraph Clustering (SHC) method is used to realize the identification of the same entity of the power grid data and the elimination of redundancy. This method introduces semantic information in the block; Finally, in the comparative experiments of AR and RR, 96.88% and 95.03% respectively verify the effectiveness of the scheme.
A Novel Method of Parallel Computing Based North-Finding of the Satcom-On-The-Move System and Its Simulation
Authors: Han Lei , Li Guangxia 
Published: January 2022

Abstract
This paper presents a new north-finding method of the Satcom-On-The-Move (SOTM) system based on parallel computing. The characteristic of this method is that sets a range for the existence of north-pointing true value according to a piece of initial north-pointing information, selects several equally divided north-pointing value within this range. Take the value of each point as multiple initial north-pointing information, then calculate the position information accumulated over time, and compare the calculated position information with the position information obtained by the Global Navigation Satellite System (GNSS). Gradually reduce the value range of the true value of the north-pointing information until the position information obtained with the GNSS is less than a certain error range, then the initial north-pointing information value of the minimum error is obtained, which is approximately equal to the accurate value of the north-pointing information. The proposed algorithm is verified by a simulation case, and the simulation results show the effectiveness of the proposed algorithm.
A State Evaluation Method of Equipment Based on Safe Operation State Space Extraction with Zero-failure Data
Authors: Li Pan , Wei Chaofan , Chang Runfeng , Liu Anying , Zhou Shenghan 
Published: January 2022

Abstract
For high reliability equipment and newly designed products, it is difficult to accurately evaluate the equipment status because almost no failure data will be generated during testing or using period. At present, the analysis of zero fault data mainly focuses on reliability estimation and unsupervised fault detection, and there is little research on the safe operation state of equipment to evaluate whether the equipment is in normal state. In this paper, we propose an equipment state evaluation method based on safe operation state space extraction, and verify the feasibility of this method through real data experiments. This method uses algorithms such as LOF (local outlier factor) and k-means algorithm to extract the parameter range of normal operation of the equipment from the historical zero-failure operation data, so as to judge whether the equipment is in a safe operation state. Compared with other methods, this method is simple and easy to use, and has wider applicability and stronger interpretability.
Adaptive Climbing Gait Design of Snake Robot Based on Extended Kalman Filter
Authors: Han Siwei , Xiao Wenyu , Yu Zheng-hong , Wei Wu 
Published: January 2022

Abstract
We propose a method of climbing pipe with different diameter, which enables snake robot to divide itself into 3 parts to complete transition on the pipe according to the joints’ state for now. To avoid controlling the robot from building dynamic model, a gait-based open-loop control framework is adopted. An extended kalman filter (EKF) is applied here to estimate the adaptive parameter of gait-based function for different 3 parts and corresponding joints. The adaptive parameter will help snake robot perceive the environment better and climb the pipe more steadily.
Theoretical Study on Dynamic Load of Harvester
Authors: Cao Shukun , Zhao Jingyuan , Chen Naijian , Shangguan Zechao , Wang Hongbin 
Published: January 2022

Abstract
This paper studies the dynamic load problem of the harvester, establishes the mathematical model of the load change of the harvester, also studies the coupling and decoupling of the dynamic load of the harvester, and establishes the coupling model to finally understand the load change before and after the coupling.
Research on Key Technologies of Hypersonic Vehicle
Authors: Wang Yuan , Wang Jian , Liu Chuansheng , Tian Ju 
Published: January 2022

Abstract
Hypersonic technology is an interdisciplinary research field, which has become the commanding point of new technology in the current aerospace field. Hypersonic vehicle is an important weapon to deal with future war and break through the missile defense system. It has great strategic deterrence significance in the military. This paper introduces the key technologies of hypersonic vehicle, such as integrated aerodynamic configuration, propulsion technology, thermal protection technology, navigation and control technology. The research status, main problems and development trends of various key technologies are summarized.
Optimal Control of Bearingless Switched Reluctance Motor Based on High Frequency Pulse Injection
Authors: Wang Hao , Yang Yan 
Published: January 2022

Abstract
The start and commutation of the bearingless switched reluctance motor are all through the real-time position detection of the motor rotor, while the traditional position detection relies on the displacement sensor to obtain an accurate position signal, but also brings many drawbacks and shortcomings. The first is to increase the hardware cost and reduce the economy of the system; the vibration of the motor and the vibration of the external environment may cause the sensor to loosen and fall off, reducing the reliability of the system; the harsh working environment such as high dust, high temperature, high humidity will affect the accuracy of the displacement sensor, or even damage it, reducing the environmental adaptability of the system. In order to solve this problem, this paper proposes an optimal control method without a position sensor, and compares it with the existing high-frequency pulse injection method to verify the effectiveness and feasibility of the proposed method.
Research on Monitoring Algorithm and Induction Trigger System of New Spectrophotometer
Authors: Tang Lili , Ma Hongkun 
Published: January 2022

Abstract
In the traditional laboratory engineering bacteria culture work, it is necessary to frequently sample the bacterial solution and judge the growth period by photometric method. These operations are accompanied by pollution risk and the change of culture environment. In this paper, a design scheme of illumination monitoring algorithm of new spectrophotometer based on single chip microcomputer is proposed, The absorbance value is calculated by single chip microcomputer and the threshold is preset to trigger the induction action, so that the whole process from the beginning of culture to the triggering induction of engineering bacteria can be intelligent, automatic and non-contact. The new spectrophotometer takes STM32F103 series processor as the main control chip, and the system is mainly composed of main control board and induced action trigger device. The main control board mainly includes optical density calculation, 12 LED light control, 12 action machine control and human-computer interaction module; The induced action trigger device is composed of motor, bh1750 module, monochrome light source and other parts, which can realize illuminance detection, absorbance calculation, preset absorbance value and trigger the action machine. The system automatically adjusts the working mode of the sensor through the matrix keyboard input, displays the image through a liquid crystal display, uses the bh1750 illuminance sensor module to convert the input illuminance signal into electrical signal for wired output, processes the sensor data through MCU, performs logical operation with the preset value and performs corresponding action. The main control part of the system is small, and the detection method is simpler and faster than the traditional detection. The logic operation part is cleverly designed, the trigger time of the induced action is flexible and adjustable, and there is an adjustable timer after the induced action is triggered.
Research on Train Dynamic Coupling Strategy Based on Distributed Model Predictive Control
Authors: Yang Yiming , Yan Fei 
Published: January 2022

Abstract
This paper mainly studies the problem of dynamic coupling under multiple optimization objectives and multiple constraints. Virtual coupling (VC), as a new train operation mode, effectively improves the operating efficiency of the line, but reduces the safety margin between trains, and requires higher control accuracy. As an important scenario of virtual coupling, dynamic formation has not formed a set of applicable train control strategies. Aiming at the dynamic train formation scenario of virtual coupling, propose a control architecture based on distributed model predictive control (DMPC). Numerical simulation using Matlab verifies the effectiveness of the algorithm in this paper. The simulation results show that the train is under the condition of satisfying the operating constraints. Compared with PID control, the method in this paper is more effective and more accurate.
Study of the wear parameters of the physic-chemical and exploitation indicators of the engine oil when it is supplied with biofuel
Authors: Besleaga I , Gadibadi M 
Published: January 2022

Abstract
The research seeks to provide the most effective techniques and methods that were used in the Laboratories of the Faculty of “Agricultural Engineering and Auto Transportation” (Department of Auto Transportation and Tractors Engineering). It provides the results of the investigation concerning on assessment of the change of physical-chemical and exploitation properties of petroleum products during engine operation and the results for testing internal combustion engines.
Photovoltaic system for E-Smart electric vehicle
Authors: Tarulescu Radu , Tarulescu Stelian , Leahu Cristian , Olaru Marius 
Published: January 2022

Abstract
The vehicles relied on fossil fuels are rapidly being replaced by electric and plug-in hybrid vehicles. But these types of vehicles are still faced with the problem of energy availability. The abundance of solar radiation and its use as the power source in electric vehicles is a necessary condition for environmental pollution limitation. In this study, the authors present photovoltaic systems used as an electricity supply for E-Smart electric vehicles. E-Smart is an electric vehicle obtained through conversion, of a Smart ForTwo City vehicle, from the internal combustion propulsion system to a system that uses a three-phase asynchronous motor supplied from a pack of 32 batteries of LiFePO4 type.
Comparative numerical evaluation of ECE-EUDC cycle performances of a hypothetical car equipped with three types of propulsion systems: conventional, series hybrid and parallel hybrid
Authors: Ionaş M , Argeşanu V , Lontiş N 
Published: January 2022

Abstract
This publication refers to the studies which were made to a compact car model to observe the behavior of the three drivetrain versions that the car can be equipped with: the version in which the vehicle model is equipped only with a Diesel engine (classic), a plug-in hybrid version with the combustion engine placed in a series circuit (pSHEV) and a second plug-in hybrid variant, where the thermal engine is arranged in parallel (pPHEV) with the electric motor (EM). The study emphasizes the behavior of three different vehicle propulsion systems equipped on the compact car on a standardized road cycle condition defined by the Urban Driving Cycle (UDC) referred as ECE 15 cycle combined with the Extra-Urban Driving Cycle (EUDC). The scope is to set up the three different powertrain systems through numerical modeling and to generate the conclusions based on the simulations results obtained in ADvanced VehIcle SimulatOR (ADVISOR).
Contributions towards improving the displacement and strain responses of an internal combustion engine piston through topology optimisation
Authors: Gaidur M , Pascal I , Rakosi E , Ulian T , Manolache Gh , Talif S 
Published: January 2022

Abstract
State-of-the-art parts require state-of-the-art engineering. On this occasion, in this research paper, contributions towards improving the displacement and strain responses of an internal combustion engine piston are presented. The load case scenario and the topology constraints are established in the beginning. In the following stage, the reference values are defined with the means of an FEA simulation. Afterwards, the topology of the piston is optimised. To quantify the improvements, a comparison analysis was made in the ending part of this paper. This study aims to reduce the displacement and strain responses of an internal combustion engine piston through topology optimisation.
Investigations of pressure field along a channel of a pressure wave supercharger
Authors: Costiuc I , Costiuc L , Chiru A 
Published: January 2022

Abstract
The aim of the paper is a numerical investigation of the evolution of the pressure field along the wave rotor channels of a pressure wave ICE supercharger. In the present literature, most of the studies are considering the fluids as incompressible and inviscid in a 2D field. The present study is using the compressible and viscous terms in the unsteady Lattice Boltzmann method for fluid in a 3D field. The geometry was drawn in CAD software using measurements made on a real model of the CX-93 pressure wave supercharger. The simulation was conducted using a code for native unsteady LBM approach to reproduce data such as pressures, temperature and mass flows, which are usually hard to be measured in a real pressure wave supercharger. The computational domain was modelled as a moving rotational domain with adaptive refinement. Results such as velocity, pressure and temperature field in the rotor channels were obtained for exhaust gas inlet pressure of 0.292 MPa and 721 K temperature at different rotational speeds. The air inlet state considered was: 0,096 MPa and 313 K. The simulated values obtained are similar to the reported experimental results found in the literature showing a good concordance with the model.
New composite polymer sensor for vehicle weighing
Authors: Dontu A I , Rakosi E , Barsanescu P D , Ulian T M 
Published: January 2022

Abstract
The work presented in this paper describes a new concept of the sensor for weighing-in-motion of vehicles. This sensor has small dimensions and can be used for weighing the vehicles. The sensor has four strain gauges, two of them are external and two are embedded into polymer. It’s well known that the influence of temperature can affect the measurement process and also can change the output signal of strain gauges. The hysteresis and linearity graphics of strain gauges are compared in order to establish which one has higher values. The measurements lead to interesting results which are presented in this paper.
Results concerning manufacturing of tubular car components using hydroforming and hydroperforation processes
Authors: Poiana D I , Ionel I , Popa R M , Bordeasu I 
Published: January 2022

Abstract
The purpose of the paper is to highlight the advantages that the automotive industry gains by using hydroforming and hydroperforation processes in automobile manufacturing. In recent years, progress has been made concerning the equipment and tools needed to carry out the hydroforming and hydroperforation processes. As these machines and tools have been perfected and produced on a large scale, becoming cheaper and more cost-effective were main scopes of the development, increasing the mass production, supporting the automotive industry, as well, is another goal. The improvement of the tools used and the equipment determined that these processes have to be extended for a quite large number of components of the vehicle, in the production of large series. A comparative analysis and advantages of the technology are presented regarding the impact on the environment of these processing, hydroforming, and hydroperforation processes, in relation to other traditional processing processes