bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Research on autopilot system based on lightweight YOLO-V3 target detection algorithm
Authors: Gao Xiulong , Ge Dongyuan , Chen Zhifeng 
Published: April 2020

Abstract
Computer vision is one of the most important branches in the field of deep learning, which includes image classification, target detection and so on. In this paper, the pruning algorithm is combined with the method of reducing the network depth, and the trained network model is applied to the field of autopilot, which solves the problems of high power consumption, single function and poor real-time performance of the vehicle target detection system. In this paper, through a large number of theoretical research and experiments, the appropriate activation function and regularization method are selected. Through the visualization method of neural network convolution layer, the working principle of the network is expounded in detail. Through theoretical analysis, the appropriate anchor box, is selected and the non-maximum suppression algorithm is introduced. Tensorboard data visualization system is used to monitor the distribution and law of network parameters. The accuracy of detection according to the experimental target is 98.7%.
A General Algorithm for Rectangular Parking Optimization Design
Authors: Huang Junhao , Liao Tianchi , Kang Haining , Wang Jianjun 
Published: April 2020

Abstract
The optimization design of parking is a comprehensive programming solution with a relatively large practical value. Determining the optimal design of the parking lot is the main goal of this paper. Before the algorithm design, this paper first deduces the calculation formula of the width of the lane in the parking lot; then refines the parking lot design problem into the choice of the layout of the double-side parking channel and the layout of the single-side parking channel, and the choice scheme is based on the greedy algorithm. On this basis, we establish a general optimization design algorithm for the rectangular parking lot, which is essentially a programming algorithm. Finally, this paper selects an example to solve the general algorithm by SA algorithm. It proves that the general algorithm meets the requirements and has practical value.
Response Calculation in Zero Memory Nonlinear System Based on Digital Filter Method
Authors: Xu Fei 
Published: April 2020

Abstract
Analysis of dynamic characteristics of structures often relies on linear theory in many practical applications. However, almost all structures show nonlinear characteristics when experienced with large enough excitations. Firstly, calculation of forced response in linear dynamic system using digital filter method is presented. Then, linear system is extended to nonlinear system. The nonlinear restoring force is treated as external loads and used to derive a generalized mathematical model to calculate the forced response in zero memory nonlinear system based on digital filter method. Finally, the ‘Reverse Path’ and multiple coherence function are used to estimate the frequency response function of underlying linear system. Numerical simulation of a multiple degree of freedom system with multiple nonlinear elements is used to verify the presented method. The results indicate that the presented model works well for calculating the forced response in zero memory nonlinear system.
Range and Standard of Yang Dongfang Spatial Water Temperature Variation Angle II. Spatial Water Temperature Model Application
Authors: Yang Dongfang , Tao Wenliang , Wu Yunjie , Wang Ming , Huang Chengling 
Published: April 2020

Abstract
According to the investigation materials in the water field of Jiaozhou Bay in May, August and October 1979, this paper studied the rise, decline and changing process of water temperature in the surface and bottom waters. Based on the definition and model of Yang Dongfang spatial water temperature variation angle, the results indicated that in the waters from inside of the bay mouth to the around from May to October, the range interval of the Yang Dongfang water temperature variation angle is 1.14°in the surface and 6.27°in the bottom when heated is the surface of a water body; from the waters in the bay mouth to the waters outside, the range interval of the Yang Dongfang water temperature variation angle is 13.49°in the surface and 4.00°in the bottom when cooled is the surface of a water body, which displays the changing process of the water temperature when heated or cooled is a water body.
Application Of A Template Matching Algorithm In The Detection Of The Railroad Track
Authors: Wang Cenan , Fu Xiangyi , Shi Chaoxiong , Zeng Qiwen 
Published: April 2020

Abstract
As the most important part of urban public transportation system, railway and subway are undertaking extremely important tasks. Manual inspection is sometimes difficult to detect track damage in time. Based on the impulse excitation of the rail, the undamaged rail and the damaged rail are distinguished according to the characteristics of its vibration signal. In the process of feature extraction, the pulse signal is intercepted, and the threshold is taken after gaussian smoothing filter. After multiple processing, the feature template is formed. Through the template matching algorithm proposed in this paper, the rail excitation pulse signal can be identified and the rail damage state can be determined. And the simulation display and control platform based on real object is made. After many tests, the method is proved to be effective.
Research and design of intelligent parking system based on 5G technology
Authors: Luo Wanbo 
Published: April 2020

Abstract
In order to solve the parking problem, such as difficult parking, low efficiency parking space sharing, incomplete parking management and high cost of traditionalparking, an intelligent parking system in city based on the 5th Generation Mobile Communication Networks (5G) is proposed in this paper. 5G mobile communication technology has two important advantages of high transmission rate and low transmission latency, so it can better satisfy the rapid development of the Internet of Things (IoT). The intelligent parking system architecture in city based on 5G has six layers, including Parking IoT layer, intelligent gateway layer, 5G mobile communication network layer, access point name (APN) enterprise private line access layer, cloud computing and big data layer, intelligent parking system management layer.
An improved ABC algorithm approach for shape optimization of the blood centrifugal pump impeller
Authors: Wang Jiaming , Ruan Xiaodong , Fu Xin 
Published: April 2020

Abstract
A high efficiency blood centrifugal pump has low blood damage and little energy loss, so it is important to improve hydraulic efficiency by optimizing the design. In this paper, an improved Artificial Bee Colony algorithm combined with the adjoint method (ABCA) is proposed to optimize the blood centrifugal pump impeller. The introduction of gradient information enhances the search performance and the convergence judgment of ABC algorithm. Besides, its random search feature can effectively avoid the adjoint optimization method from trapping in local optimum. The ABCA algorithm are applied to increase the hydraulic efficiency of a self-designed blood pump. After optimization, five design parameters of the impeller are optimized, and hydraulic efficiency of the impeller improves about 3.90%. Compared with ABC algorithm, the ABCA algorithm saves about 58% of calculation time, and its convergence performance is much better than ABC in the middle of the iteration.
Research on the Impact of Artificial Intelligence Technology on Accounting
Authors: Li Chaoyi , Haohao Song , Ming Fu 
Published: April 2020

Abstract
The rapid development of artificial intelligence has promoted many changes in the field of modern accounting. This paper examines the impact of artificial intelligence on accounting business, accounting theory and accounting personnel’s ability in recent years through literature research. The conclusions show that: First artificial intelligence makes the accounting staff liberation from a low level repetitive work out, the original focus of financial accounting change for the company to provide information to support business decisions; Second, management accounting theory, value creation theory and management intelligence mechanism The intersection of theory and artificial intelligence promotes the development of accounting theory. Third, financial expertise of accountants demanding, complex multi-disciplinary background and with universities and businesses.
LoRaWAN Anti-collision Algorithm Based on Dynamic Frame-slotted ALOHA
Authors: Xiongfei Liu , Yunyi Zhu , Liao Beiping 
Published: April 2020

Abstract
With the exponential growth of IoT devices, new challenges have been placed on the scalability and reliability of LoRa networks. At present, the collision problem of the LoRa network is serious. This is because its MAC layer protocol LoRaWAN is mainly based on the pure ALOHA mechanism, which is too simple to handle the collision. The dynamic frame-slotted ALOHA algorithm is optimized on the pure ALOHA algorithm, which can effectively reduce the collision. Therefore, this paper combines the dynamic frame-slotted ALOHA algorithm with LoRaWAN to dynamically divide one cycle into multiple frames. Through the LoRa preamble detection technology, the intra-frame slots are divided into idle time slots, single time slots and collision time slots. According to the number of slots, the optimal frame length of the next frame is estimated. Besides, the paper studies the initial frame length ratio. The simulation experiment is carried out on the LoRaWAN model on ns-3, which verifies that the algorithm can effectively improve the Packet Delivery Ration and System Efficiency.
Improved Parallel Genetic Algorithm Based on Resetting Strategy and Hash Table
Authors: Lu Peng , Xiao Xiaoqiang , Wang Jijin , Ning Weixun 
Published: April 2020

Abstract
In the process of parallel genetic algorithm (PGA) convergence, the probability of generating repeated individuals in a new generation is gradually increasing, which leads to repetitive computations of fitness values. In order to improve the time-efficiency and quality of solutions, an improved algorithm based on resetting strategy and hash table (RHPGA) is proposed. On the one hand, RHPGA takes advantage of the low time complexity of hash table lookup to reduce fitness values’ calculation of repeated individuals. On the other hand, RHPGA uses a resetting strategy to improve the optimal solution searching ability. By solving a set covering problem, PGA and RHPGA are compared. The experiment proves that RHPGA can almost increase the time-efficiency by 300% and quality of solutions by 15%.
Design and Implementation of a Simulation Training Platform for Performance Measurement of a Radar Transmitter Sub-system
Authors: Deng Bin , Wang Jingjing , Li Chuanqi , Li Yiyuan 
Published: April 2020

Abstract
In order to improve the parameter testing ability of radar equipment support personnel, it is urgent to provide an effective training platform for the army to carry out parameter testing training. In this paper, according to the actual test requirements of radar equipment launching subsystem, the functional requirements of the simulation training platform were analyzation, the parameters of the launching subsystem test training were determined, the overall design scheme of the system was proposed, and the software and hardware design of DDS module, local vibration module and other key functional modules were given. The practical application shows that, on the one hand, the students can be better familiar with the signal flow of the radar transmitting subsystem and understand the working mechanism. On the other hand, it can ensure that students can carry out the measurement practice of transmitter performance parameters in a safe environment and improve their testing skills. The successful development and popularization of the platform can effectively alleviate the contradiction between more people and fewer machines in equipment testing practice, and help to improve the benefits of equipment teaching.
Radio Anomaly Signal Recognition Methods Based on Clustering
Authors: Li Shengyang , Lin Jianxi , Tian Bin , Shen Li , Cui Guorong , He Jing 
Published: April 2020

Abstract
Identifying radio anomalies is one of the main purposes of radio monitoring. The current radio anomaly signal identification is mainly finished manually by the radiops, using professional radio knowledge and their work experience. However, because the anomaly signal is hidden in the “massive” data, accompanied by a large amount of noise, and also data imbalance, the anomaly signal is difficult to find. In this paper, we combine the data unevenness processing method SMOTE and the (guorong: cluster detail) to identification the anomaly signal during radio monitoring. Experimental results show that our method can improve the efficiency of existing radio anomaly signal recognization. Moreover, our experiments also shows that data imbalance processing plays a key role in anomalyq signal recognition.
Research on high robustness 4.5kV FRD chip
Authors: Liu Jiang , He Feng , Liu Yueyang , Jin Rui , Dong Shaohua , Gao Mingchao 
Published: April 2020

Abstract
A robustness 4500V/100A FRD with was designed by simulation and verified by experiment. The chip composed with optimized carrier density cell area and ruggedness terminal area. The cell area composed of P-body/N-sub/N+ layers, has good static and dynamic trade off characteristics by carefully design. The simulation show that there was no difference between conventional multi-deep P-ring terminal and multi-deep P-ring plus inner field plate terminal. Both terminals have the same width and almost the same breakdown voltage, low electric field and etc.by simulation.The experiment show that different terminal chips have almost the same trade off characters but different in reliability test, the inner field plate terminal pass 1000H HTRB test while the conventional multi-deep P-ring terminal failed at 168H HTRB test.
Railway Track Circuit Signal State Check Using Object Detection
Authors: Li Bin , Wu Suining , Wang Zhixin , Chen Xiaoguang , Shi Long , Tan Shulin 
Published: April 2020

Abstract
The track circuit is widely used in the railway network for safety, and the corresponding track circuit equipment is laid almost every railway station, which provides an extremely important information service for the safe driving of the train. In this paper, we proposed a two-phase detection algorithm for the state of the signal equipment of the track circuit, which is used for automatic safety detection of the status of the track circuit signal equipment in the railway signal room. Compared with the traditional inspection method of inspection workers, our proposed detection algorithm of signal state greatly improves the efficiency of security inspection, and in the experimental results, the proposed method outperforms other methods in different situations.
Study on the Textural Complexity of Black Thang-ga Image
Authors: Zhange Weijiang , Dang Hongshe 
Published: April 2020

Abstract
In order to study the characteristics of Thang-ga image, this paper studied the texture complexity of black Thang-ga image. The complexity model of image texture was constructed. The texture complexity of black Thang-ga image was calculated by using the textural complexity model. Furthermore, 113 images in the black Thang-ga data set were analyzed. The maximum, minimum and mean of texture complexity of Thang-ga image in data set were calculated. The data shows that the black Thang-ga image is a kind of textural complex images.
Efficient rail repair machine based on image recognition technology
Authors: Yang Menglan , Luo Laizhen , Tao Menglun 
Published: April 2020

Abstract
In this project, the detecting bolt loosening technology uses the CMOS camera for image acquisition, and the image is extracted by the FPGA combined with the single-chip computer. The author calculates the relative rotation angle of the bolt mark symbol before and after loosening by image analysis technology, through which we can quantify the loose angle of bolt and judge bolt’s loose condition. Then, the author uses the bolt screw maintenance machine to screw the loose bolt, which can achieve the purpose of repairing the loose bolt. This paper is of great significance in providing a theoretical basis for the theoretical design and practical engineering application of the rail maintenance machine.
Research on BIM Model Identification System for Substation Project Management
Authors: Qi Xuan , Liu Yunfei , Zhang Yang , Cao Sheng , Zhu Wenrui , Tang Juejing 
Published: April 2020

Abstract
In the current construction of the Internet of Things, informational data has become an important technical content. Among them, information classification and coding are the basis of informational data construction. In the BIM (Building Information Modeling, 3-dimension information model) project management, the identification system code is used as the encoding carrier by the BIM model. Through the coding, the corresponding physical model objects can be found, which makes the information database more clear and complete, and helps to apply the life cycle database. At present, the application of BIM technology to substation engineering management is a relatively new field. The corresponding BIM identification system coding research work is not enough, and the traditional KKS identification system shows great defects in the current professional technical rules and application of the project management platform using BIM technology. This paper aims to improve the BMS technology project management by substation BIM technology project based on the existing KKS identification system framework, through unifying coding format, enhancing coding level identification, creating substation building code identification and prominent electrical main professional identification. To form a three-dimensional model identification system and apply it to substation BIM technology project management and carry out practice in actual engineering projects. To realize the accurate delivery and standardization of BIM model information data by the life cycle information management platform.
Semi-supervised classification method of SAR images using spectral clustering in contourlet domain
Authors: Jiang Kaiwen , Zhang Degan , Xu Haixia 
Published: April 2020

Abstract
A new based on Semi-supervised classification theory for SAR images in contourlet domain is proposed, in this paper. Attempting to get better and faster performance, the PSO algorithm (Particle swarm optimization algorithm) and contourlet domain is proposed to instead of traditional k-means algorithm. PSO is used to find the global optimum by performing a global search in the whole solution space. And then, contourlet is applied in front of construct the similarity matrix to extract more effective eigenvalues. In section five, the proposed algorithm got better classification results than the traditional k-means algorithm which is proved by experimental results show that in terms of running time, classification accuracy and Kappa coefficient.
Application of Digital Media Technology in Animation Design and Production
Authors: Liu Jie 
Published: April 2020

Abstract
This article discusses the related concepts of animation design and digital media technology, combines the application value and application requirements of digital media technology in animation design and production, integrates traditional elements of the country through research, introduces other science and technology, and gives full play to technical advantages. We can establish take some measures like a communication platform mechanism and strengthen relevant personnel training strategies. These measures are aimed at improving people’s awareness of the advantages of digital media technology applications and promoting the healthy development of the animation industry.
Study on risk evaluation of intellectual property pledge loan based on fuzzy analytic hierarchy process
Authors: Wang Simin , Luo Yi , Luo Ling 
Published: April 2020

Abstract
From the six aspects of the risk of intellectual property itself, intellectual property rights technology uses risks, risks of intellectual property laws, intellectual property rights market risk, business risk, macro environment of intellectual property, build a comprehensive intellectual property rights pledge loan risk evaluation index system, and bythe fuzzy analytic hierarchy process (ahp) combining qualitative and quantitative, ultimately determine the pledge loan risk level. This paper makes an empirical analysis of the selected cases, and the research results show that the fuzzy analytic hierarchy process can effectively quantify the risk of intellectual property pledge loans, which is conducive to the risk judgment and identification of this kind of pledge loans.
The Propagation Strategy Model of Taint Analysis
Authors: Ren Yuzhu , Zhao Jiangtao , Zhang Cao 
Published: April 2020

Abstract
The taint propagation strategy is the core of the taint analysis technology. When the taint analysis toolsanalyses the target program, it needs to mark the target data according to the formulatedtaint propagation strategy. Formulating a reasonable strategy for taint propagation can effectively improve the accuracy of taint analysis. There are two difficulties in developing the taint propagation strategy, namely, alias analysis in static taint analysis and indirect jump in dynamic taint analysis. In our paper, we propose a taint propagation strategy at the intermediate representation language level, which can effectively improve the accuracy of taint propagation.
Boosting n-octanol/water Partition Coefficients Prediction with An Improved Gene Expression Programming Method
Authors: Yuan Cheng , Peng Yuzhong , Deng Chuyan , Gong Daoqing , Cao Aiqing 
Published: April 2020

Abstractn-octanol/water partition coefficient (named logP) reflects the lipid solubility and aqueous solubility of the substance. Accurate and effective prediction of logP has great significance for drug development and monitoring human health, due to logP is related to the dissolution, absorption, distribution and transport of the drug in the human body. This study proposed an improved gene expression programming algorithm based on fuzzy control method with the feature of Morgan fingerprint to improve the logP prediction. Experimental results evaluated in terms of RMSE and MAE show that proposed method outperforms not only multicellular gene expression programming, but also the state-of-the-art methods including Back Propagation neural network, support vector regression, random forest regression and Gaussian process regression.
Prediction of soil humidity based on random weight Particle Swarm Optimized Extreme Learning Machine
Authors: Ji Wei , Liu Yong , Zhen Jia-Qi 
Published: April 2020

Abstract
The prediction of high quality soil moisture is of great significance to agricultural production and scientific research. In order to solve the problem that the prediction results of (ELM) regression model of limit learning machine are affected by input parameters, the stochastic weight particle swarm optimization algorithm (RandWPSO) is applied to ELM regression model. In this paper, a soil moisture prediction method of particle swarm optimization limit learning machine based on random inertia weight is proposed. In this method, the data of soil temperature and light intensity measured by sensor are used to preprocess the data, the training sample set is constructed, and the ELM regression model is established. The input weight and threshold in ELM are optimized by using random weight particle swarm optimization algorithm to avoid falling into local optimization, thus the prediction model of soil moisture based on RandWPSO-ELM is established. The soil moisture of sugar beet in Hulan area was studied. The experimental results show that the method has high accuracy and stability, and can provide an effective reference for the growth of sugar beet in greenhouse.