bluuebunny/crossref_metadata_2025_split huggingface dataset:
Source Diagnosis Method for Radiated EMI Noise Based on Wavelet and ICA Strategy
Authors: Zhang Qian 
Published: March 2020

Abstract
In this paper, the independent component analysis (ICA) algorithm, combined with wavelet algorithm, are introduced to diagnose the radiation noise source, also to segregate various radiation noise components. The nonlinear time domain signals of supeposed rradiation noises are measured using multi-channel high-speed digital oscilloscope. Double frequency domain analysis of radiation noise are conducted with the proposed method. Furtherly, time-frequency joint graph of excessive radiation noise are accessed, according to overclock points. The radiation noise component is determined by employing signal separation algorithm. The effective diagnosis of common frequency radiation noise is thus realized, which contributes to reducing the radiated noise electronic device emitted.
Electro-Magnetic Design of a 3MJ YBCO Magnet
Authors: Xia Yajun , Song Meng , Ma Tao 
Published: March 2020

Abstract
The electro-magnetic design of two 3 MJ superconducting magnetic energy storage (SMES) magnets with YBCO conductor are presented. One magnet is with solenoidal geometry composed of double pancake coils, and the other one is with toroidal geometry. According to the magnetic field simulation results, the perpendicular componet of the magnetic field of the toroidal magnet could be extremely reduced compared with the solenoidal geometry. Therefore, a lower YBCO conductor requirement could be expected due to the dependence of Jc
vs B performance of the YBCO conductor. Besides, the lower leakage magnetic field is important for application. A SMES system of 3 MJ is considered, and the coil is made of multiple identical D-type pancake coils. The critical current of the used YBCO conductor at 30K is 270A under 1 T perpendicular magnetic field. The inner radius of the D-type curve is 500 mm, and the outer radius is 1000 mm. The SMES magnet is made of 96 pancake coils, where the rated operating current is 975 A and the maximum perpendicular and parallel magnetic flux density are 0.5 T and 4.0 T, respectively. Further more, the maximum hoop stress and radial stress are 283 MPa and 78 MPa.
Research on Control Strategy of Main Steam Temperature System of Thermal Power Plant Boilers
Authors: Ma Fuxin , Jin Yingai , Jiang Zhipeng 
Published: March 2020

Abstract
This paper analyses the cascade PID control system used in the boiler on the main steam temperature system based on the introduction of the importance and control principle of the main steam system of the boiler, and propose a fuzzy PID control system for improving the cascade control system. As a consequence, the MATLAB simulation outcomes show that the system has better control effect and reaction speed, and the hysteresis of the main steam control system in the boiler is improved.
Thermo-insulation characteristics of PPLP used for superconducting cable
Authors: Zong Xihua , Han Yunwu , Zhang Jing , Yang Minghao , Ma Tao 
Published: March 2020

Abstract
High temperature superconducting (HTS) cable has attracted more attention for its high current density, low loss, and small size. The insulation structure design of HTS cable is very important for the safe operation. Many of the cold dielectric HTS cables use PPLP as the insulation material. However, the HTS conductor needs to endure temperature higher than 150°C during the manufacturing process, and the effect of high temperature on the insulation characteristic of PPLP is unclear. The DSC curve of PPLP was analyzed, and the melting temperature of PPLP was 164.3 °C. The oven was used to heat PPLP for 10 min, 20 min, 30 min, 1 h, 2 h. The heated PPLP was subjected to a power-frequency AC breakdown experiment. It was found that the AC breakdown voltage of PPLP is less than that of unheated PPLP, and its insulation performance degrades.
Three-dimensional numerical simulation of hydrogen production from coke oven gas reformer
Authors: Gao Xianbo , Yang Xiaoguang , Guo Fei , Zhang Yuanbo , Jiang Zhipeng , Jin Yingai 
Published: March 2020

Abstract
The non-catalytic partial oxidation process is a simple and efficient gasification furnace conversion process. In this paper, a three-dimensional numerical simulation of a coke oven gas reforming furnace is carried out. This calculation uses the component transport model to simulate the combustion reaction in the furnace. The reason for the reactor is GRI-Mech 3.0. The calculation results show that when the syngas stays in the furnace for a short period of time, the increase of pressure is beneficial to the conversion of methane, and the H2/CO ratio will increase slightly with the increase of pressure.
Analysis and research on the heating principle and causes of over-temperature of wind power converter
Authors: Yang Peiwen , Zhang Yuechao , Xiong Guozhuan , Hu Peng 
Published: March 2020

Abstract
In view of the frequent over-temperature faults of ABB wind power converter in the process of using, this paper makes an in-depth study and detailed analysis on the over-temperature faults and solutions and effects of the converter through the analysis of the converter heating principle, technical transformation test, thermal simulation analysis, etc.It is found that there are three main reasons for the converter over-temperature fault which are high operating environment temperature, insufficient ventilation and increased thermal resistance coefficient. The three main causes of the over-temperature fault of the converter are analyzed and the technical modification scheme and operability analysis are put forward. In order to verify the technical modification effect, the operation temperature data of the technical modification unit and adjacent units were collected and compared with FLOTHERM software to simulate the heat change trend of the tower cylinder, and the influence of the scheme on the effect and other parts of the unit was judged. The results showed that the scheme could effectively solve the over-temperature problem of the converter and would not affect the normal operation of the wind turbine.
Wind energy potentiality assessment of Chengshantou using the Weibull model
Authors: Jiang Yingni 
Published: March 2020

Abstract
The potential of wind energy is valued in recent years. The wind resource and information for details of the wind characteristics at a place is required for planning a wind energy project. Chengshantou (37.4°N, 122.68°E) located in Shandong province of China is a windy region. This work analyzed 10 years (1995-2004) measured daily mean wind speed data of Chengshantou. The Weibull model is used to study the wind energy potential of Chengshantou. It is concluded that Chengshantou is promising for the establishment of large wind farms.
The Study of Conductive Inner Lining of the Electromagnetic Flowmeter (EMF) on the Output
Authors: Li Xuejing , Li Haiyang 
Published: March 2020

Abstract
The lining of traditional electromagnetic flow sensor is insulated. But this limits the use of electromagnetic flowmeter. This paper presents a new type of electromagnetic flowmeter, which can measure the conductivity of pipe wall. The circuit is designed to compensate the sensor output induced potential. The stability and reliability of the new electromagnetic flowmeter are verified in theory and experiment.
Non-intrusive monitoring and disaggregation of industrial load based on Petri net theory
Authors: Zheng Wei , Yu Jie , Tian Hongjie , Li Peng , Wu Chenning , Tu Mengfu 
Published: March 2020

Abstract
In this paper, the non-intrusive monitoring and disaggregation method of industrial load based on Petri net theory is studied. First, the basic concepts of Petri nets are introduced. On the basis of prototype Petri nets, time factor is added. Then, the Petri net with time factor is combined with industrial load production process. Considering the production sequence, start-stop time and production time constraints of industrial load, a non-intrusive monitoring and disaggregation model of industrial load is constructed. Finally, according to the actual production process of industrial load, the electricity consumption situation of each production link is calculated, and the detailed analysis results of industrial user’s electricity consumption behavior are obtained. The research could provide an important reference for realization of friendly interaction between industrial users and power grid.
Communication bandwidth prediction based on smart distribution grid service level
Authors: Xia Bingsen , Chen Li , Zhou Zhaozheng 
Published: March 2020

Abstract
Aiming at the problem that the bandwidth utilization of current current service bandwidth calculation method is not high, a bandwidth calculation method based on queuing theory is proposed. From the perspective of macro service security level, different levels of bandwidth prediction are performed for services of different security levels. The bandwidth prediction model for different levels of service processing is built. Finally, based on the bandwidth prediction model, the optimal transmission efficiency bandwidth prediction calculation method for the service node queuing theory is proposed, and the example of the typical distribution electric information collection service of the national grid is adopted. Compared with the current elastic coefficient bandwidth prediction method, the effectiveness of the proposed method is verified.
Research on Intelligent Transportation System Based on Fuzzy Neural Network
Authors: Ren Anhu , Bai Jingjing , Ma Jianxiang 
Published: March 2020

Abstract
In the face of the increasingly serious traffic issues, this paper takes the signal control of urban single intersection as the research object, and uses the fuzzy control system to study the urban traffic signal control. The algorithm comprehensively considers the three parameters, queue length, traffic flow and speed of the intersection vehicle to determine the green light distribution time of the traffic phase. Through theoretical analysis and actual needs find the shortcomings of the algorithm. Additional, membership function and fuzzy control rules are manually set by expert experience and historical data, and the whole system lacks self-learning ability. Therefore, the neural network algorithm with self-learning function will be incorporated into the fuzzy control system to form an intelligent traffic information system which think fuzzy neural network as the core parts. It draws on the strengths of both, makes up for their respective deficiencies, and effectively improves the ability of the entire system to learn and express knowledge. The simulation results show that it is greater advantageous to apply it to the signal control of the intersection.
Maintenance Decision Based on Risk Assessment of Electric Transmission and Distribution Equipment
Authors: Yang Nan , Cui Wei , Li Wujing , Zhang Xingke , Wang Zhiwei , Niu Shuanbao , Li Shengsheng 
Published: March 2020

Abstract
Given the current maintenance technology of electric transmission equipment, the risk assessment is introduced into the maintenance decision of electric transmission equipment, and a basic technical framework which is based on the maintenance method of risk assessment applying to the power transmission equipment is built. From two aspects of economic risk and systemic risk, each quantitative risk indicator of the equipment is gotten. By quantifying the systemic risk economically, the system consequence of electric transmission equipment outage can be presented by the corresponding system severity. This method has been proved to be more scientifically to assess risk and more quickly and effectively to make maintenance decisions by the final example analysis.
Setting of SOI MOSFET Model Parameters based on BP Neural Networks Algorithm
Authors: Dai Jingjing , Li Chong , Lan Tian , Wang Zhiyong 
Published: March 2020

Abstract
With development of SOI technology, SOI MOSFET technology is developed as well. Most traditional MOSFET parameter models adopt semi-empirical and semi-physical model, and simplification assumption is introduced during modeling. However, as SOI MOSFET devices keep downsizing, the short-channel effect and quantum effect are more obvious so that it is more complicate to calculate and extract characteristic parameters of SOI MOSFET. This paper proposes a kind of SOI MOSFET characteristic parameter modeling method based on BP neutral networks algorithm. Compared to other semi-empirical models, this method needs not to calculate characteristic parameters of devices. In stead, it calculates current and voltage output characteristics and transfer characteristics of devices through BP neutral network models according to test data. Through verification, the trained and predicted output relative error is within 5%. The model has short operation time, high calculation precision and good stability. The models established may be applied extensively to other types of transistor, and feasible for practical engineering application.
Non-Cooperative Target Recognition of Optical Remote Sensing Images based on Deep Learning Combined with Spatio-Temporal Reasoning
Authors: Tang Xiaogang , Zhu Lin , Peng Jun 
Published: March 2020

Abstract
In order to solve the low utilization rate of spatio-temporal sequence information during non-cooperative target recognition of optical remote sensing images with deep learning method, this paper puts forward a new method for offshore non-cooperative target recognition and tracing based on spatio-temporal reasoning. In the first stage, this method uses YOLOv3 model through deep learning to recognize characteristics of large batch of offshore non-cooperative target images, and finish preliminary screening of suspicious target; in the second stage, it uses time weight function and Markov model to process and analyze temporal and spatial sequence information respectively during continuous tracing of the target and get the probability distribution of certain specific target in the two dimensions; in the third stage, it uses D-S evidence theory to process probability inforamtion in temporal and spatial dimensions and get target probability with higher reliability through fusion reasoning. The experimental verification shows the comprehensive recognition precision in the first stage is over 92%; subsequently the secondary recognition precision of the target can be improved for 35% through fusion reasoning of time weighted position distribution probability and Markov position transfer probability. Results show the reasoning elements of spatio-temporal sequences obvious improve precision of secondary discovery after the non-cooperative target is lost, and provide new thinking for non-cooperative target tracing with intelligent method.
UAF Model Verification Method based on Description Logic
Authors: Ding Qian , Wang Yueli , Cao Guanping 
Published: March 2020

Abstract
The grammatical structure of model based on Unified Architecture Framework (UAF) adopts formal specification, but the lack of formal and accurate description of semantics may result in information inconsistency between different views. In this paper, an UAF model verification method based on Descriptive Logic SHIQ is proposed. The knowledge base of SHIQ is constructed in formal description, with the help of Racerpro reasoning engine based on Tableau algorithm, conflicting or contradictory information in the models is reasoned and judged. The feasibility and convenience of this method are proved by verifying the "Requirement" model of the Major Disaster Relief System.
Design and Implementation of Cyrillic Mongolian Speech Input System for Thyroid Ultrasound Report
Authors: Gantumur Galbadrakh 
Published: March 2020

Abstract
This paper introduces a Cyrillic Mongolian speech input system for ultrasound examination report. The system uses the developing Mongolian speech recognition technology to complete the transformation from manual input to speech input system and speech input system for ultrasound examination is developed and designed. In view of the current situation that the report system of hospitals cannot be effectively and quickly input in human-computer interaction, the description standard of ultrasound examination is low, the operation of the system is relatively complex, and the retrieval process is inefficient. Experimental results on Mongolian speech corpus tasks show that the WER in Cyrillic Mongolian speech recognition is reduced by 18.97% and 3.55% respectively.
Multiple similarity collaborative filtering recommendation among users
Authors: Yan Wenjing , Li Shuqing , Cheng Yongshang 
Published: March 2020

Abstract

[Objective]Through the analysis of multiple similarity among users, the problem that the traditional user based collaborative filtering algorithm only uses a single similarity and leads to the decline of recommendation quality is solved. [Method]The original single similarity calculation formula is improved, and the multiple similarity calculation formula is put forward, on this basis, the multiple similarity prediction score is calculated. [Result]By comparison with the traditional user based collaborative filtering algorithm, the method put forward in this paper has outstanding effect. [Limited]Users’ interests will change with time, so time information should be included in the calculation. [Conclusion]From the experiment, we can find that the improved method has better recommendation quality than traditional methods.
A CP-ABE Algorithm Based HDFS Distributed Storage Data Security Solution
Authors: Li Nengneng , Wang Yingcun , Xu Xiwei , Liu Xiaoyang 
Published: March 2020

Abstract
With the continuous development of technology, traditional data encryption technology has been cracked, existing data security measures can no longer meet the user’s data security needs, and the problem of data security remains the primary issue facing cloud storage. Based on the analysis of cloud storage data security, this paper proposes a CP-ABE-based HDFS distributed storage data security solution to the problems of traditional attribute-based data encryption technology (CP-ABE). After analysis of the algorithm, the algorithm can ensure the security of the data stored on the cloud platform users through the attribute-based encryption algorithm.
Dual gated attentive-autoencoder for content-aware Recommendation
Authors: Jin Ming , Li Jun , Li Chenyang 
Published: March 2020

Abstract
In recent years, content-aware recommendation of personalized products using automatic encoders has become the mainstream technology in the field of personalized recommendation systems. But the technology still faces the following main problems: 1.The automatic encoder structure ignores the inherent duality of the model and separates the training encoder from the decoder.2.The automatic encoder structure makes use of implicit feedback data and the difficulty of combining heterogeneous data.3.The traditional content-aware recommendation based on the auto-encoder ignores the neighboring merchandise information of the merchandise. In order to solve these problems, this paper proposes a dual gated attentive-autoencoder based on the door attention mechanism. The model is compared to the current optimal outcome model on the three recommended system public datasets. The experimental results show that the recall rate and the normalized damage cumulative gain of the auto-encoder content perception recommendation based on the dual-gate attention mechanism are better than the current optimal result model.
Application Research of CNN Accelerator Design Based on FPGA in ADAS
Authors: Shi Jiaxiang , Tian Xiaohua , Zheng Zhiyuan , Zhang Tao 
Published: March 2020

Abstract
In recent years, with the rapid development of artificial intelligence, various deep learning algorithms represented by Convolutional Neural Networks(CNN) have been widely used in various fields, showing their unique advantages. However, as we need to solve the problem, in order to obtain higher accuracy, the depth of the network is deeper and deeper, and the structure is more and more complex. In some scenarios with high real-time requirements, it is difficult to meet the application requirements. Aiming at the characteristics of a large number of multiply-accumulate operations in CNN, this paper proposes a pipelined FPGA parallel acceleration design module and studies the application in Advanced Driver Assistance System(ADAS). Altera DE1 SOC FPGA development board is our hardware implementation tool. Take 36×36 image input as an example. The running time of CNN in the FPGA at 100MHz clock frequency is 2.812ms. This time is enough for real-time Advanced Driver Assistance System(ADAS) requirements.
Dynamic Spectrum Access Based on Improved SARSA Algorithm
Authors: Liao Xiaofei , Wu Dequan , Wang Yang 
Published: March 2020

Abstract
Dynamic spectrum access is the core technology of cognitive radio, accurate spectrum access can effectively alleviate the shortage of spectrum resources and realize the "secondary utilization"of spectrum resources. For this reason, this paper proposes a dynamic spectrum access based on improved Sarsa algorithm. The algorithm uses a simulated annealing strategy instead of the ε-greedy strategy in action selection, which can effectively overcome the problem of the traditional Sarsa algorithm falling into a local optimum. Simulation experiments show that the algorithm proposed in this paper can effectively improve the throughput of cognitive users and reduce the probability of collision with the main user, what’s more, it also has a significant increase in speed.
51 single-chip microcomputer verification platform with interrupt controller based on verilog2systemc
Authors: Huang Bo , Wu Xianghu , Tao Yongchao 
Published: March 2020

Abstract
Today, there is no interrupt debugger that can be used for free during development and learn with 51 microcontroller. except for integrated IDEs such as paid keil. Based on the advantages of network virtualization and independent of hardware conditions, a 51-chip virtual verification platform with interrupt controller based on verilog2systemc was completed. The effect achieved by this platform is that the same piece of code with interrupts can run verification on the actual 51 single-chip microcomputer, and can also run verification on the 51 virtual verification platform, and the running results of both are consistent and correct.
A Multi-source Data Fusion Analysis Model in the Research on Public Sentiment Index
Authors: Zhu Yunya , Zhai Zhengang , Gao Bingtao , Xu Song , Wu Nannan 
Published: March 2020

Abstract
At present, China’s economy is continuously developing and making progress. The deep integration of society and big data artificial intelligence and other technologies is constantly promoting the construction of new smart cities. The major livelihood service systems have provided great convenience to the people. At the same time, they have accumulated massive livelihood data. Mining the value of data to solve people’s main problems has been widely concerned by the government and the community. However, the data structure of each system is different. The data is noisy and the systems cannot be interconnected, which leads to the one-sided and single results of data analysis, and it is impossible to use these data to obtain effective results and conclusions. This paper proposes a Public Sentiment Index that reflects the intensity of public appeals. A new multi-source data fusion analysis model is proposed by using a multi-source data fusion method. By constructing a public sentiment database and a public sentiment index model, it can truly reflect the changes in people’s demands. This research can provide a reliable and scientific basis for the government to improve decision-making capacity and service quality.