bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stixel-based Traffic Scene Representation Using U-disparity
Authors: Chen Lei , Huang Yingping , Hu Xing , Wei Hongjian , Liu Ming 
Published: July 2019

Abstract
The Stixel World is a valid approach of interpreting 3D traffic scenes. This paper presents a novel and simple method to establish the Stixel World by exploiting the properties of U-disparity. Unlike the conventional stixel extraction method, the proposed method does not model the ground plane, but construct a U-disparity map and accordingly remove ground-related points and background-related points in virtue of U-disparity properties. The resulting U-disparity map is re-projected back to the disparity map so that the base and top-points of foreground obstacles can be determined. Experiments show that the proposed method can effectively build a Stixel World for a variety of scenarios and is not constrained by topography and object classes.
Design of Tram Collision Prevention System Based on Infrared Ranging and Kalman Filtering
Authors: Kang Yang , Cui Zhao 
Published: July 2019

Abstract
Since the route of tram operation is set on a specific orbit, pedestrians or vehicles may enter the orbit during driving. In order to avoid such traffic accidents caused by collisions, a set of infrared ranging fusion is designed. Kalman filtering algorithm for tram anti-collision system. Considering that the obstacles in front may have moving speed, the real-time information obtained by infrared ranging is used as the data basis, the prediction model is established according to the current relative distance and relative speed, and the Kalman filtering algorithm is used to accurately predict the relative speed, and then the relative vehicle is used. Calculate the distance warning threshold from the information and relative speed to eliminate the calculation error and improve the accuracy of the relative real-time distance information. The theoretical test shows that the method can greatly improve the accuracy of detecting the real-time distance of the tram during driving.
Study on Gate Circuit Multivibrator Based on FPGA
Authors: Xie Yanhui , Zhou Huanyin , Wen Qilin , Hu Jiewei , Xu Feiyan 
Published: July 2019

Abstract
Gate circuit multivibrator is composed of logic gates and RC circuit. When the vibrator is designed based on FPGA, the pulse frequency measured using frequency meter in FPGA is much higher than theoretic analysis value. If this circuit is used as a pulse signal generator, mistakes will be made easily. In this paper, a gate circuit multivibrator based on FPGA is designed, and its vibrating frequency is measured using the FPGA itself. A frequency error is measured. The reason that causes this error is analyzed, and it is testified through simulation and real signal test. Pulse shaping through Schmitt trigger is an effective solution method. This study shows that clock pulse is very important to FPGA system.
A Review of Advanced Manufacturing Strategies and Development in Typical Industrialized Countries
Authors: Ma Yungao , Xia Liyu , Meng Weixuan 
Published: July 2019

Abstract
The report of the 19th National Congress of the Communist Party of China pointed out accelerating the construction of a manufacturing power, accelerating the development of advanced manufacturing, and promoting the deep integration of the Internet, big data, artificial intelligence and the real economy. This article focuses on the advanced manufacturing strategy of typical industrialized countries, and lays special stress on the analysis of industry 4.0 in Germany, the re-industrialization in the US, and the development and application of artificial intelligence in Japan. This article also puts forward relevant suggestion for promoting the transformation and upgrading of China’s manufacturing.
Blockchain-based Decentralized Storage Scheme
Authors: Zhu Yan , Lv Chunli , Zeng Zichuan , Wang Jingfu , Pei Bei 
Published: July 2019

Abstract
Different from the current cloud storage solutions, which are mostly centralized storage providers, this paper proposes a decentralized storage system based on blockchain technology, which can make full use of the remaining space of personal hard disks of users around the world. Storage provider performs a data integrity certificate to the user, and after verifying that the verification is passed, the user pays the storage fee to the storage provider through the lightning network technology. All proofs and payment information are stored in the blockchain, which guarantees the security and credibility of the system. Compared with the current mainstream distributed storage systems, this scheme has been improved in terms of system access and payment methods.
A Configurable High Speed Crossbar Network on FPGA
Authors: Guo Zhongfu , Zhang Xingming , Yanzhao Gao 
Published: July 2019

Abstract
The MPSoC platform plays a vital role in the design of parallel processor architectures. However, it poses a great challenge to design a configurable high-speed network regarding as the processors growing isomerization and reconfigurable. This paper proposes a configurable crossbar on-chip interconnection method based on FPGA, which can provide high speed high speed through Xilinx Fast Simplex Link (FSL) for processing elements include processors and hardware IP. We built a prototype system on FPGA to evaluate the transfer time and hardware costs of the crossbar network architectures. The experimental results show that each word can be reduced by 10 cycles, and the entire transmission delay only accounts for 6% of the total system operation time.
Manufacture and delivery scheduling for customers on one manufacturing machine with an availability constraint
Authors: Fan Jing 
Published: July 2019

Abstract
We consider a scheduling problem with the joint consideration of manufacture and delivery for m customers in different locations. In the manufacture period, there must be some interrupted job because of the arranged maintenance of the machine, and that job can be resumable when the machine becomes available again. In the delivery period, amounts of vehicles without limits of load capacity deliver completed jobs belonging to the same customer to customers in batches. The cost of each delivery is proportional to the distance between the customer and the manufacturer. Our goal is to minimize the sum of total departure time and total delivery cost. The problem is solved optimally by a dynamic programming algorithm with polynomial time O(m
2
n
4), where n is the number of all jobs.
Summary of research on distribution network reconfiguration
Authors: Wu Xiaomeng , Li Xinqiao , Li Chong , Dang Jian 
Published: July 2019

Abstract
Distribution network reconfiguration is an important means to optimize the operation of distribution network. The the reconfiguration of distribution network can change the opening and closing state of segmentation switch and tie switch in the distribution network without increasing investment. It can achieve the purpose of reducing network loss, balancing load to eliminate overload and light load, improving power supply reliability and improving power supply voltage quality. Therefore, it has important practical significance to accelerate the problem of distribution network reconfiguration. In this paper, the mathematical model of distribution network reconfiguration is given for the characteristics of distribution network, and various algorithms for distribution network reconfiguration are introduced. The advantages and disadvantages of various algorithms are analyzed, and the distribution network is more comprehensively reflected.
Research on Intelligent Energy-saving Algorithm of Oil Pumping Based on BP Neural Network
Authors: Liu Tianshi , Shi Mengdi 
Published: July 2019

Abstract
In order to enhance the international competitiveness of China’s oilfields, this paper reduces the phenomenon of high energy consumption in low-permeability oilfields, reduce electricity costs, increase oil production, and improve oilfield efficiency. In this paper, an intelligent energy-saving algorithm based on BP neural network is proposed for continuous oil recovery. This algorithm analyzes the main influencing factors of oil production and collects sample data from two aspects of oil production and electricity consumption cost. The BP neural network model with single hidden layer is constructed. The number of hidden layer neurons is determined. The output of oil and the unit speed of oil pumping are predicted, and combined with the time-sharing electricity price to adjust the times of oil pumping unit time to reduce the cost of electricity. The experimental results show that the proposed intelligent pumping energy-saving algorithm effectively improves the pumping efficiency, can save the electricity cost to a certain extent, realizes the intelligent control of pumping unit, and makes the oil field achieve high production and efficiency.
Research on Key Technologies of Integrated Teaching Platform for Automotive Engine ECU Control System
Authors: Zhang Xitong , Peng Tao , Mao Fuxin , Cheng Ming 
Published: July 2019

Abstract
In order to ensure that high-skilled personnel can better grasp the internal structure of ECU control system of automobile engine and improve the maintenance skills, this paper analyses the teaching platform from two aspects of hardware and software; the former including the introduction of basic characteristics and platform building, and introduce the functions and components of the integrated teaching platform for control system of automobile engine. Through the analysis, the maintenance personnel can have a better understanding of the fault diagnosis and elimination of the ECU of the automobile engine, and provide a good reference basis.
Design of Mobile Integrated Development Platform for Business System Based on B/S Architecture
Authors: Lu Hui , Gao Shangfei , Li Shaolong 
Published: July 2019

Abstract
With the popularity of intelligent devices, mobile application APP has become the most widely used application software at present. This paper analyzes the current situation of mobile development and data integration of business systems, and presents a platform design for mobile application development of business systems oriented to B/S architecture, which realizes independent and fast migration of mobile application functions of the original business systems under the specifications of user rights and business processes of the original business systems.
Multi-clutter Adaptive Suppression of Ball-borne Radar
Authors: Su Wentao , Liu Runhua , Wang Feng , Zhang Xiaohan 
Published: July 2019

Abstract
Compared with conventional radar, the ball-borne radar faces a special clutter environment. Because the irregular moving ground clutter of the platform is no longer fixed but has unknown spectral characteristics as the cloud rain clutter, it faces multiple unknown mixed clutter. It is not possible to filter ground clutter and then suppress motion clutter like a conventional radar. In this paper, the eigenvector method that can suppress multiple clutter at the same time is used to construct the filter, and the correlation function method is used to estimate the spectral characteristics of the clutter to achieve adaptive clutter suppression. Firstly, the calculation method of filter weight vector is discussed theoretically. Aimed at the problem that the performance of the method is deteriorating when suppressing multiple clutter with different spectral characteristics, the method is improved and its performance superiority is analyzed. The theory of multi-clutter estimation is deduced. For the problem of large spectral width deviation, the bandwidth coverage method is proposed to reduce the influence of error.
Joint target detection and tracking with heavy-tailed noises
Authors: Yu Benru , Gu Hong , Su Weimin 
Published: July 2019

Abstract
This paper investigates the problem of simultaneous target detection and tracking with heavy-tailed noises under Bernoulli filtering framework. By exploiting the Student-t distributions to formulate the outlier-corrupted process noise and measurement noise, a novel target tracking algorithm named the Student-t mixture Bernoulli filter is proposed. Under linear assumptions on target dynamic model, sensor measurement model and birth process, closed-form recursions that propagate the parameters of Bernoulli random finite set are derived. The validity of the proposed algorithm is verified by numerical simulations.
Artificial Neural Networks in the Prediction and Assessment for Water Quality: A Review
Authors: Chen Yingyi , Fang Xiaomin , Yang Ling , Liu Yeqi , Gong Chuanyang , Di Yuqi 
Published: July 2019

Abstract
Water is one of the main elements of the environment, which determines the existence of life on the earth such as humans, aquatic animals, and plants. In order to control the water quality environment more efficiently and intelligently, numerous water quality models have been developed for predicting and evaluating water quality accurately and intelligently. In order to control the water quality environment more effectively and intelligently, artificial neural network (ANN) and the hybrid models that contain it are applied to accurately and intelligently predict and evaluate water quality, improving the reliability and assessment capabilities of water quality prediction. Therefore, this paper is a literature review aimed at analysing and comparing the characteristics and applications of existing artificial neural network models. According to the direction of information transmission in the network, we divide them into feed-forward networks and recurrent networks. In addition, we compare the pros and cons of each model. Our analysis provides guidance for model improvement in future research. Moreover, these models can be applied to aquaculture in the future to promote their development.
Research on Flight Inspection Using Unmanned Aircraft
Authors: Liu Xinqiao , Zheng Shihui 
Published: July 2019

Abstract
Flight inspection is an important way to verify and evaluate the integrity and effectiveness of flight procedures, civil aviation communications, navigation and surveillance equipment. It is directly related to the safety of civil aviation. Traditional flight inspection is completed by adding special flight inspection equipment to high-performance aircraft. This paper mainly studies a new flight inspection method based on unmanned aerial vehicle (UAV). The feasibility, difficulties, advantages and risks of UAV flight inspection are discussed in this paper. This method may be implemented in the next five to ten years.
Study on Tunable Ring Erbium-doped Fiber Laser
Authors: Yan Bai , Hong Gao , Feng Dequan 
Published: July 2019

Abstract
Based on the characteristics of erbium-doped fiber (EDF), the wavelength tuning of ring-fiber laser can be realized. Moreover, the laser can work well and stably even when a simple structure of tuning device is adopted. As the pump power of 300 mA is adopted, the output power of the laser is 6.747 mW, and the laser wavelength can be tuned in the range of from 1546.326 nm to 1549.736 nm, as the temperature is elevated from 18.3 °C to 109.8 °C. The drift of center wavelength is linearly related with the temperature. The tuning wavelength have potential applications in the field of photoelectric devices.
Research on the directivity of transducer array based on typical array elements
Authors: Zhen-yang Xu , Xin-peng Wang , Jing-yuan Zhang 
Published: July 2019

Abstract
In order to analyze the directivity of the array composed of different shape array elements, a line array is made up of the point source, circular, annular and rectangular piston sound source, and the directivity of the array is analyzed by simulation software. The results show that the directivity of line array is influenced by many factors, such as array element spacing, geometric dimensions, array shape, number of array elements, wave number or frequency, etc. When the condition is equivalent, the directivity of the transducer array composed of annular array element is relatively optimal.
High Speed Test System of Current Pulse for Phase Change Memory Devices
Authors: Wang Yuhan , Zeng Ziqiang , Wang Yuchan , Xu Xia , Gu Liangling 
Published: July 2019

Abstract
The high-speed test system of current pulses for T-shaped phase change memory (PCM) cells has been studied. This system, which is able to provide the narrowest width of 500 ns, can apply direct current source pulses to the PCM device to do SET and RESET operation. The reliability of the system has been verified through the fixed resistor and the real PCM cells. The test results are presented and analyzed.
Resonant Overvoltage Mechanism of Electromagnetic Voltage Transformer in 6kV Non-Direct Grounding System
Authors: Sheng Tingran , Han Tongxin , Wang Zhliang 
Published: July 2019

Abstract
This paper expounds the principle and conditions of ferromagnetic resonance generation, and analyzes the ferromagnetic resonance accident of Hetan substation. The article explains the concept of “illusive grounding” caused by ferromagnetic resonance, combined with the Peterson curve. The conditions for the generation of ferromagnetic resonance are analyzed, and the common measures to eliminate ferromagnetic resonance are given.
High Voltage Intelligent Power Module Layout Design for Parasitic Inductance Reduction
Authors: Hua Qing , Zheng Jiaxing , Wang Shixin , Pan Zhijian , Leng Yan , Sun Jianhui , Ren Junfeng 
Published: July 2019

Abstract
When designing the high voltage intelligent power module, layout design is as important as circuit design. Appropriate layout design can avoid many problems associated with these types of power modules. This paper relates generally to the layout design of the power stage components within a 600V/30A high voltage SiC intelligent power module for low inductance. Several crucial aspects when designing the power stage layout have been pointed out. It also presents how to optimize the layout design to minimize the parasitic inductance.
Upgrade of relay valve of SD type braking system for urban rail vehicles
Authors: Chen Fan 
Published: July 2019

Abstract
Based on the structure and principle of the seven-stages relay valve of the SD type brake system of the existing urban rail vehicle, it is simply modified to double increase the number of stages of the braking force by each additional solenoid valve and piston-diaphragm. Therefore, the adjustment of the braking force is finer and more suitable for the precise positioning and parking of urban rail transit vehicles.
Research on Temperature Control Multilayer Manufacturing Method Based on Paving Quilting Cutting System
Authors: Liu Zhibin , Zhang Yidan , Shan Ming , Wang Yu 
Published: July 2019

Abstract
With the increasing investment of the country in the field of satellite manufacturing, the mode of satellite manufacturing is gradually changing from single development to batch production, and the existing research and production capacity is facing great challenges, so it is urgent to establish a product system to meet the requirements of multi-task, multi-model and batch production. This paper elaborates the automatic manufacturing process of multilayer insulation components in satellite thermal control system. Firstly, through designing special tooling, improving system design, optimizing process flow, and then conducting process tests, the optimal parameters are obtained and applied, which improves the production efficiency, stabilizes the production quality and meets the needs of largescale scientific research and production.
Application Research of Parallel Optimization Technology in Hydrological Model
Authors: Liu Fang , Zhou Shuai 
Published: July 2019

Abstract
Hydrological model parameters are generally considered to be a simplified representation that characterizes hydrologic processes, As hydrological models continue to deepen the application of hydrological processes in the basin, they face enormous calculations. Meanwhile, in pursuit calibrating the model parameters by optimal algorithms for higher accuracy, the computation burden of optical techniques has become much heavier. Therefore, in order to solve this problem of low efficiency of hydrological model calculation, this paper uses parallel PSO algorithm to calibrate the TOPMODEL model parameters, and then uses parallel computing to process the flow generation in each sub-basin. The results show that the daily runoff simulation value of tangnaihai hydrological station fits well with the measured hydrological process; Whether PSO or sub-basin all can improve computational efficiency by using parallel optimization techniques, the former and the latter increased by 3.22 and 2.57 times, respectively. The results provide a reference for further understanding the application of parallel computing in hydrological models.
Modeling and Design of a Wideband Electromagnetic Logging Detector
Authors: Song Xinai , Chen Hong , Cheng Xi , Cao Xing , Gui Pengfei 
Published: July 2019

Abstract
Due to the increasing complexity of oil and gas exploration objects, it is necessary to study the electrical properties of rocks in different frequency bands. At present, electrical properties of formation such as resistivity and phase change of electromagnetic propagation have attracted great attention in petroleum industry. In this paper, the influence of working frequency for tools, coil distance, mud in borehole, formation conductivity and other measuring conditions on detector signal is studied through numerical modeling, and the key circuit design technology of data acquisition of detector for wideband electromagnetic logging is preliminarily discussed. The modeling results can provide theoretical analysis for the design of parameters and data acquisition circuit of the detector, and lay a foundation for the accurate study of oil saturation of rock and the determination of reservoir fluid properties.
Steepest descent method based LSSVM model
Authors: Liang Jinjin 
Published: July 2019

Abstract
A new least square support vector machine SPLSSVM is constructed in the primal space, and the steepest descent method is designed to figure out the optimal solution by defining the optimal condition as the energy of the system. We rewrite the objective function by replacing the two norms of the slack vector with the slack obtained from the equality constraints, and we derive an unconstrained optimization model. By setting gradient of the obtained objective function equal to zero, a linear system is derived. An energy function is defined and an interactive method is designed to figure out the optimal solution. The incomplete Cholesky factorization is used in the nonlinear space to approximate the kernel map before applying the steepest descent method. Numerical experiments demonstrate that the proposed SPLSSVM has higher precision and lower training time than SVM and LSSVM.