bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiclass Fruit Packing System Based on Computer Vision
Authors: Lin Zenan , Shao Juanjuan , Zhang Xinzheng , Deng Xinyue , Zheng Tian 
Published: February 2020

Abstract
The traditional human-based fruit packing method is inefficient and costly. In response to the requirement of packing multiple fruits automatically in the present market, a multiclass fruit packing system based on computer vision is designed. Firstly, the image acquisition module captures images and passes them to the recognition module, which converts the RGB space of the image to the HSV color space and extracts the H and S components. Secondly, by using the morphological method to process the target areas, the class, size and position of the fruit are calculated. Finally, in the fruit packing control module, the manipulator automatically grasps different kinds of fruits into the different packing boxes according to the recognition results. The experimental results show that the accuracy of recognition is 93.73 %, the average recognition time of each image is 0.0402s. The accuracy of packing is 95.67% and the injury rate of fruit is 1.67%, which lay the foundation for fully automatic production of fruit.
Design of A Planetary Gear Mechanism of A Seven-speed Automatic Transmission Based on the Lever Method
Authors: Fan Yi 
Published: February 2020

Abstract
The existing six-speed automatic transmission of Toyota AB60E has the shortcomings of large number of transmission actuators and complicated structure. The paper first uses the lever method to analyze the lever diagram of each gear of the transmission. And then, based on the six-speed automatic transmission of Toyota AB60E, a new seven-speed automatic transmission is designed. The lever method is used to analyze the speed of each component of the newly designed one and the relative speed of its shift actuators and planetary gears. Finally, the external torque of the device and the internal torque of each component are calculated. The results show that, with the same structure parameters of the planetary row, the number of shift actuators of the new transmission decreases to 6 and the gears increase to 7. The transmission ratio between gears is closer, and the overall performance is better than that of the transmission of AB60E. The automatic transmission of planetary gears can be designed quickly by the lever method, and the kinematics and dynamics analysis can be carried out.
On-line Monitoring System for Dielectric Loss of Capacitive Bushing Considering Harmonic Effects
Authors: Mao Ting , Niu Zheng , Mu Ka , Ma JiXian , Wang YongQiang , Fang Sen 
Published: February 2020

AbstractThe existence of harmonic waves may cause some errors during measurement of dielectric loss, thus hindering accurate evaluation of insulation. By taking the influence caused by harmonic waves into consideration, this article introduces an approach which may achieve higher accuracy in the calculation of dielectric loss. Calculation results show that harmonic components and orders of harmonic waves may have big impact on dielectric loss. This article also develops a dielectric loss on-line monitoring system based on bus, which can fulfill tasks including signal conditioning, data acquisition and conversion, upper computer communication and data transmission. This system uses A/D conversion controlled by industrial computer to implement remote communication and synchronous sampling of harmonic waves and is able to able to improve accuracy of dielectric loss under the influence of high order harmonics, therefore, make accurate on-line evaluation of equipment’s insulative conditions.
Research on Design of Asynchronous Motor Flux Observer Considering Iron Loss
Authors: Li Yaoheng , Gai Jiangtao , Zhou Guangming , Han Zhengda 
Published: February 2020

Abstract
With the increasing importance of energy conservation emission reduction, the research about how to improve the operating efficiency of asynchronous motor has become a hot topic in the field of high-performance transmission. Among many efficiency optimization algorithms, the control method based on loss model (LMC) is widely concerned because of its clear physical meaning and fast optimization speed. The core of LMC is to ensure that the instruction of optimized flux can be accurately controlled which can realize the complete decoupling of the torque and flux in the FOC. Based on the model of asynchronous motor considering iron loss, the paper deduces the flux expression of asynchronous motor and proposes an improved flux observer. Finally, the feasibility and effectiveness of the proposed control strategy are verified by simulation and experiment.
Research on Equipment Optimization Configuration Method of Distributed Integrated Energy System Considering Reliability
Authors: Wang Zheng , Liu Chang , Li Xuxia , Wang Yao , Liang Yan , Hu Yingying , Li Jia , Liu Hongli , Zheng Xiaoming 
Published: February 2020

Abstract
In order to meet the requirements of economy and reliability, based on the traditional optimization method of equipment allocation only aiming at the optimization of economy, this paper selects two points of integrated demand response and distributed integrated energy system reliability evaluation to participate in the construction of DIES equipment optimization configuration model.
The acceleration effect of different stress conditions on the accelerated life test of LED driver
Authors: Liang Jinhua , Xu Haiping , Gong Chen , Mu Yajie 
Published: February 2020

Abstract
LED driver is the key component of LED lighting system, the damage of the driver will cause the failure of the whole lamp, but there is no specific test method for accelerated life test of LED driver at the system level. In order to study the acceleration effect of different stress conditions, research on the principle of LED driver, select different stress application conditions according to different electrical topology. In order to ensure that the stress does not affect the normal operation of the driver, and the failure mode or failure mechanism will not be changed, it is necessary to carry out the limit stress test before designing the test scheme. The results show that the acceleration effect is significant under the condition of constant temperature humidity or constant temperature humidity voltage compound stress, moreover, the acceleration effect is not obvious under the condition of single constant temperature or constant humidity temperature cyclic stress. The accelerated life model of LED driver is established, and the linear fitting is carried out by Weibull distribution and least square method, the variable parameters in the model are derived from the experimental data, and the accelerated life test method will be further studied.
Design of Intelligent Monitoring System for Knee Joint
Authors: Zhao Zhongjin , Que Dashun , Jiang Dinglin , Shi Guozheng 
Published: February 2020

Abstract
Combined with physical modelling, motion capture and microprocessor technology, a human knee joint intelligent monitoring system based on nine-axis attitude angle sensor WT901 is developed. The overall design of the system and its hardware and software design are completed. The system adopts STM32 to improve the practicability of the system, use App to enhance the human-computer interaction capability. The results of the system tests indicate that the system realized accurate measurement of knee-bending angle and pressure. In addition, the system can also warn of sports posture errors and knee fatigue, and it is wearable and has low energy consumption.
Trajectory Tracking Control for Double-steering Automated Guided Vehicle Based on Model Predictive Control
Authors: Qi Jiahui , Wu Yaohua 
Published: February 2020

Abstract
In order to solve the trajectory tracking control problem of double-steering automated guided vehicle (AGV), considering various constraints in practical work, a trajectory tracking controller based on model predictive control is designed. Firstly, the kinematic model of double-steering AGV is established. Then, a trajectory tracking model based on model predictive control is designed to achieve fast and accurate tracking performance. Finally, the influence of the predicted time-domain length on the system performance is analyzed by simulation, and the simulation experiment is compared with that of the AGV based on the proportional integral differential trajectory tracking controller. The experiment result shows that the model predictive controller can meet all kinds of constraints in actual work, and complete the tracking of the continuous high curvature target path efficiently and accurately in real-time with high robustness.
Research on IEEE 1588 Clock Synchronization Error Correction Algorithm Based on Kalman Filter
Authors: Ju Rongbin , Wang Rongmao , Yu Peng , Chen Rong , Wang Shunjiang , Wang Guangfu 
Published: February 2020

Abstract
In order to reduce the influence of network transmission jitter error on IEEE1588 time synchronization protocol and improve the accuracy of network timing, this paper studies the principle of IEEE1588 protocol. Then the Kalman smoothing filter correction algorithm is proposed. Firstly, according to the transmission mode of IEEE 1588 message, several factors affecting the synchronization accuracy are analyzed, and the noise model is introduced. The synchronization error is compensated by Kalman filter algorithm. Finally, the simulation comparison proves that this algorithm can greatly improve the accuracy of network pairs.
Research on Battery Charging and Discharging Control Strategy Based on AGC Scheduling
Authors: Wei Guangyu , Wang Qiang , Hou Li 
Published: February 2020

Abstract
In this paper, a battery charging and discharging method for AGC scheduling is described. For the practical consideration of the northern region, due to the lack of abundant hydropower resources, it is greatly affected by the temperature in winter and can only be used as a fine-tuning function, so the hydropower effect during the heating period in winter is not considered. Thermal power and battery energy storage devices are established to participate in the AGC scheduling system. The system state is mainly divided into four control states: conventional power supply control state, battery discharge state, battery charging state, and clean energy control state. The working area is judged on the premise that all new energy is connected to the network, and the limit control strategy is used. The lower limit of output of thermal power unit and the limit of capacity of battery unit are critical conditions. Thermal power is the main power and battery is the auxiliary power stability.
Optical system design of blackboard light
Authors: He Xiaoyang , Zhang Yini , Shao Li , Zou Nianyu , Li Xiangfeng , Hao Bin , Wang Chuanxi , Liu Yujun , Yu Ling 
Published: February 2020

Abstract
In order to solve the problem of insufficient illumination uniformity of the blackboard, this paper provides a design method of the optical system that can achieve uniform illumination of the blackboard. The energy conservation law is used to make the optical system form uniform illumination on the target surface at a specific position. After simulation, the results show that the optical system can make the illumination uniformity of the blackboard reach 0.84.
Research on parameter adaptive control for MEES
Authors: Zheng Xiaoming , Wang Ai , Li Xuxia , Zheng Yuming , Gu Zhihong 
Published: February 2020

Abstract
The Mechanical elastic energy storage (MEES) is a new type of physical energy storage. The energy storage medium is large-scale planar vortex spring (LSPVS), and the energy storage form is mechanical elastic potential energy. Multiple groups of LSPVS are fixed in a single energy storage box, and multiple energy storage boxes are connected in series to form a linked energy storage box group as the energy storage unit of MEES. In the process of energy storage, the torque and inertia of LSPVS change simultaneously. The permanent magnet synchronous motor (PMSM), as the driving device, is required to realize the fast response of torque change and effectively suppress the disturbance of inertia. In this paper, firstly, the mathematical model of linked energy storage box group is established. Secondly, combining with the direct torque control (DTC) model of PMSM and the backstepping control algorithm, the adaptive parameters of torque and inertia control strategy is designed. Finally, the experimental verification shows that the control strategy proposed in this paper has faster torque response and the disturbance of inertia is suppressed simultaneously, so as the energy storage process of MEES can be carried out smoothly and efficiently.
Ballistic target intake feature extraction algorithm based on phase recovery
Authors: Shuai Chen , Cunqian Feng , Xuguang Xu 
Published: February 2020

Abstract
The movement is the main form of movement of the space ballistic target, and the recognition of the inmoving characteristic is the basis for judging the target attribute. By analyzing the echo phase form of a single intake scattering point, a phase recovery algorithm restores the phase change of narrow-band radar echo signal. The recovered phase is analyzed spectrally, so as to estimate the spin and velocity of the target. The simulation results prove the validity of the algorithm and have good robustness.
A Fast Method for Image Matching and Registration Based on SIFT Algorithm and Image Pyramid
Authors: Guo Chuang , Jia Fangxiu , Tang Wei , Huang Pan 
Published: February 2020

Abstract
In this paper, a fast image registration algorithm based on SIFT is proposed, which is slow in extracting feature points from high-resolution images. In this paper, the original image is transformed into an image pyramid to obtain a sub-sampled image with a lower resolution. At the same time, the Laplace image pyramid is obtained. Feature points of the sub-sampled image are extracted through SIFT algorithm, and then they are fused with the original image to obtain feature points of the original image. Experimental results show that the algorithm can quickly find the feature points and obviously improve the computational efficiency.
Application Analysis of Single Chip Microcomputer Technology in Electric Drive Control System
Authors: Li Tao , Yang Hua , Wen Sirui 
Published: February 2020

Abstract
With the continuous development of information technology, the performance of the entire electrical traditional system is gradually optimized. Among them, the single-chip technology as an important part of the electrical traditional system determines the operation quality of the entire traditional system. Based on past work experience, this paper summarizes the basic overview of single-chip technology. This paper is analyzing the application in software system, the improvement of the whole device performance algorithm, the application in the system header file, the application in the control system, the practical application. The six aspects of precautions and application examples are discussed in the application of single-chip technology in electric drive control system.
Welding scheme design of wheat harvester chassis frame based on welding robot
Authors: Xu Shuqiang , Cao Shukun , Gao Kuizeng , Cao Wenlong 
Published: February 2020

Abstract
In recent years, the welding technology is more and more widely used in agricultural machinery. The traditional manual welding can not meet the market competition. The chassis frame of wheat harvester is a large-scale structure composed of many kinds of welding parts. At present, the agricultural machinery production enterprises adopt the way of manual welding. Aiming at the problems of manual welding quality of the wheat harvester chassis frame is difficult to guarantee, low production efficiency and high labor intensity, this paper designs an automatic welding scheme for the wheat harvester chassis frame.
Application Analysis of Magnetorheological Technology in Hydraulic Transmission and Control
Authors: Wei-wei Dong 
Published: February 2020

Abstract
This paper mainly explores the application of magnetorheological (MR) technology in hydraulic transmission and control. Starting with the overview of MR fluid (MRF), the effect, composition and working principle of MRF are analyzed. On this basis, the application measures of MR technology are studied from three aspects of MR pilot valve, MR servo valve and MR proportional valve, with a view to providing reference for relevant workers.
Medium and Long-term Load Intelligent Forecasting Method Based on the Comprehensive and Multiple Early Warning Indicators
Authors: Wang Yao , Wang Zheng , Li Xuxia , Wang Zhigang , Liu Renhui , Tong Xing 
Published: February 2020

Abstract
Medium and long-term load forecast takes the annual and monthly as the main time series, and regards the power demand indicators (such as the monthly power amount, monthly electrical power and so on) as the forecast content, thus being of great significance for reasonably formulating the power system planning, arranging the mid-term operation plan of the power system, reducing operation cost and improving power supply reliability. On the basis of the early warning analysis of power demand, this paper makes some attempts in combining early warning and forecasting work, and proposes a kind of medium and long-term load forecasting method integrating several early warning indicators. The method integrates multiple internal and external factors in the system such as the early warning leading industry and economic factor, uses the principle of minimum information loss to comprehensively utilize multiple early warning information under the unified scale, and can give probabilistic and accurate prediction results. The method has a clear physical background and economic meaning, and it is a new exploration of the medium and long-term load forecasting mechanism.
Sparse MIMO linear array imaging based on Localized Low-rank Promoting algorithm
Authors: Qiao Chen , Ningning Tong , Wei Wei , Chong Yan 
Published: February 2020

Abstract
In order to improve the image quality of (Multiple-Input Multiple-Output, MIMO) sparse linear array, this paper deeply explored the block sparse characteristics of imaging targets. By introducing LLP algorithm, firstly, the elements of echo signal are divided into 4-length blocks, and each block matrix is transformed into 2-2-size matrix. By using a logarithmic determinant function which has the ability to promote the block-sparsity and local smoothness simultaneously, the low rank of these 2 × 2 matrices is improved. Finally, the iterative weighting method can efficiently reconstruct the objective image by iteratively minimizing a surrogate function of the original objective function. Simulation results show that the proposed method can get higher quality target image than the traditional algorithm.
A HED-optimized Automatic Detection and Tracking Algorithm for Marine Moving Targets based on YOLO V3
Authors: Wang Zhengye , Zhou Yongbin 
Published: February 2020

Abstract
Target detection technology is one of the core technologies of modern military information technology research. It has important theoretical research and application value in the fields of military such as intelligence collection, key area monitoring and weapon guidance. At present, the traditional maritime target recognition method has poor timeliness, low precision, and poor self-processing capability. This paper proposes an autonomous detection and tracking algorithm for marine moving targets based on YOLO V3 algorithm optimized by HED. The method realizes the autonomous detection and tracking of marine moving targets through the optimization of YOLO V3 deep learning network and HED edge detection algorithm. This method has two advantages: (1) fast and accurate detection of maritime targets through the YOLO V3 deep learning network; (2) detection of target edges by HED edge detection algorithm to achieve the target and background segmentation, improving the accuracy of detection.
New Energy Output Forecasting Method Considering Multi-zone Numerical Weather Forecast and Error Identification
Authors: Hu Yingying , Wang Ai , Li Xuxia , Wang Zhigang 
Published: February 2020

AbstractIn recent years, new energy has achieved rapid development in the whole world. However, with the gradual increase in the installed capacity of new energy, because of the uncertainty and volatility of new energy output, new energy has brought many impacts and challenges to the operation of the power system. In order to guarantee the safe and stable operation of the power system, the power system has to provide sufficient flexibility to cope with the volatility and uncertainty of the new energy output. Improving the prediction error accuracy of new energy output can effectively reduce the uncertainty of new energy output, so as to reduce the demand for power system flexibility, reduce the operating cost, and improve the system operation reliability. This paper utilizes the data mining technology to establish the prediction error identification module. Based on the data feature extracted from the wind power prediction input data, the potential abnormal wind power prediction error can be identified, and the original wind power output prediction result can be corrected, so as to improve the predication accuracy of the wind power generation. At the same time, in the prediction and identification process, the wind speed prediction data and historical wind power output data of neighbouring regional wind farms will also be utilized to improve the prediction accuracy of wind farm output in this region. The predicated time scale is 12 hours ahead of time, and the predicted result is the wind power output of the next 12 hours (a predicted resolution of 1 hour, and a total of 12 predicted values).
Design of a testing system for dynamic arming time of clock mechanism in fuze safety system
Authors: Wei Yawei , Li Haojie 
Published: February 2020

Abstract
In view of the fact that the specific time of arming can not be obtained when testing the arming of fuze safety system at home and abroad at present, and there are some problems such as cost and repeatability, a testing system based on the dynamic arming time of fuze safety system is proposed. In this system, the mechanical signal is transformed into electrical signal by micro switch, laser and photodiode, and the millisecond level accurate timing of dynamic arming time of fuze safety system is realized. Through the design of start, timing, stop modules and display modules, the calculation and display functions of the actual arming time of fuse components after dynamic simulation are completed. The test and data analysis show that the measurement accuracy of the test system is high and the error is small, which meets the accuracy requirements.
Intelligent Recommendation System Based on Image Processing
Authors: Lin Qi 
Published: February 2020

Abstract
Recommendations for images are the core tasks of many website recommendation systems. This paper develops a relatively complete image recommendation system based on the relative data analysis of the hotel website. In this paper, the image processing methods such as computer vision in the field of deep learning are applied to the information processing classification of the image of the hotel website. The image recommendation system established in this paper is more targeted than the recommendation system of some previous websites. This paper evaluates the aesthetics of NIMA images of the photos of the houses, and uses the show and tell model to describe the image and text, and finally according to the star rating and user preferences. Use collaborative filtering algorithms for house listings and recommendations. The accuracy of the recommendation is greatly improved, and the quality of the service selected by the user can be effectively guaranteed.