bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Domain and Potential for Further Electrification of Rural Domestic Energy Consumption
Authors: Feng Kaihui , Li Qionghui , Huang Bibin , Yan Hu
Published: March 2020

As energy production and the consumption revolution continues to deepen in the 21st century, the world is entering a new phase of electrification. On the supply side, there are now more and more clean energy sources of electricity such as wind and solar that are being developed and utilized. On the consumption side, electrical energy is continuing to replace fossil fuels. As electric engines, electric cooking and electric heating become more common, electricity will increasingly displace coal and oil. Currently, energy consumption levels are low in rural China, especially in the domestic sector, constraining rural-urban integration and development as well as improvement in the energy consumption of rural regions. Electrification is an effective way to make rural energy consumption cleaner and less carbon-intensive. It can significantly reduce pollution and emissions, thus improving the quality of life and the environment. The present paper discusses the main applications of electrification in rural energy consumption. As rural-urban integration continues to develop, rural energy consumption levels will gradually converge with urban energy consumption levels. The present paper proposes areas where there is potential to increase electrification in rural domestic energy consumption, providing a reference for improving rural domestic energy consumption, bearing significance for energy transformation and mitigation of rural environmental pollution.
Research on the Effect of Plant Boundary Conditions on Noise Attenuation in UHV Substations
Authors: Ni Yuan , Wang Yanzhao , Wang Meishun , Zhou Bing , Hu Jingzhu , Zhang Jiangong
Published: March 2020

Accurately analyzing the influence of the terrain environment of the plant boundary on noise transmission and attenuation can not only give guidance for the substation site selection and station layout optimization, but also provide theoretical basis for noise abatement after the substation has been put into operation. In this paper, by applying sound level meters to test the sound pressure of the main equipment in the substation and the noise around the plant boundary, the noise characteristics of main transformers and shunt reactors, as well as the noise distribution around the plant boundary were analyzed, thus concluding that the noise at the plant boundary is mostly derived from the main equipment within the substation. While taking the layout of the Zhebei UHV Substation as an example, this paper chose the SoundPLAN software to simulate and calculate the noise attenuation law under seven terrain conditions outside the plant boundary, and finally such a proposition as the low-lying terrain and the raised hilly terrain can best interrupt the noise transmission was made. The conclusions of this paper can provide a theoretical reference for site selection of new substations and optimizing the terrain structures of substations in operation.
Research on High Efficiency Air Cooling Method of High Power Density Power Electronic Equipment
Authors: Liang Jinhua , Xu Haiping , Gong Chen , Yuan Zengquan , Zhang Zuzhi
Published: March 2020

High power density is a trend of power electronic equipment development, but high power density will inevitably lead to high power consumption per unit volume. Due to the limitation of environmental conditions, some equipment can only use air cooling method, but the conventional way of air-cooled cooling is difficult to meet the requirements of reasonable temperature rise. Therefore, a new type of thermal resistance model is put forward, by using the good isothermal performance and high thermal conductivity of the heat pipe, the surface embedded composite heat dissipation substrate is made, which greatly reduces the diffusion thermal resistance, at the same time, and uses a new type of thermal conductivity material to reduce the contact thermal resistance. In order to improve the efficiency of thermal design, several mathematical inequalities are established, and the calculation of thermal resistance is transformed into a single objective optimization problem with multiple constraints. MATLAB is used to solve many discrete solutions, and then the finite element simulation software is used to further optimize. Finally, the temperature rise test of the prototype shows that the heat dissipation efficiency is increased by three times.
Power Saving Management Based on Simulation of Domestic Air Conditioning Operation
Authors: Liu Fang , Zhou Hui
Published: March 2020

With the continuous increase of building area and the improvement of people’s economic level, the penetration rate of air conditioners in China has continued to rise. Scientific residents’ air-conditioning behavior not only helps users save power, but also has important significance for rational planning on the power demand side, smooth operation of the power grid, and alleviating the contradiction between power supply and demand. This paper combines the thermal comfort theory of the human body with the thermal balance theory of the room, and establishes the thermal balance equation and thermodynamic model of the air-conditioned room. Different air-conditioning behavior models are designed for simulation. Through simulation, according to the simulation results, this paper puts forward air conditioning behavior recommendations for residents with different living habits in different cities in the north and south.
Multi-state household appliance identification based on neural network
Authors: Zhang Ying , Xu Jiali , Du Zehua , Dong Xifeng
Published: March 2020

In the current non-intrusive load monitoring process, the states switching of some multi-state appliances is difficult to be correctly identified by the switch event detection method, and the energy consumption statistics due to poor multi-state identification of the electrical appliances are not accurate. This paper proposes a multi-state household appliance load identification method based on convolutional neural network and clustering model. First, a convolutional neural network is used to construct an appliance type identification model. Then, a multi-state identification model is established to identify the state of different multi-state appliances. The experimental results show that the proposed method achieves multi-state identification of electrical appliances and has good engineering and practical value.
The calculation method of optimized AC choppers capacity in islanded MMC-HVDC system
Authors: Wang Shanshan , Qin Shanmeng , Zhao Bing , Sun Yuanyuan , Yin Rui , Zhao Yuetong , Yang Panbo
Published: March 2020

In order to ensure the safety of renewable energy generation integration system through islanded MMC-HVDC, the AC choppers with the same capacity as sending end converter station are equipped in current projects. However, considering the actual operation needs, it is not necessary to equip so many AC choppers. The optimal capacity of the AC choppers can be calculated according to the most serious fault. The calculated capacity can meet two requirements. One is the renewable energy generation units just start to cut off when the DC voltage reaches the overvoltage limit value. Another one is to minimize the cost and floor area of the AC choppers. It can ensure that the converter station devices is not be damaged in the condition of lowest economic cost. A three-terminal and a four-terminal renewable energy generation integration system through islanded MMC-HVDC are built in PSCAD, which verifies the correctness of the theoretical analysis.
Fault location method for neutral ungrounded system based on C- type travelling wave method
Authors: Fan Haiyan , Qi Jincheng , Sun Zhilian , Zhao Fayun , Guo Ningming
Published: March 2020

In China, the 10kV distribution network operates with neutral ungrounded. Due to the influence of high transition impedance and branches, the problem of fault location has not been effectively solved. The characteristics of C-type travelling wave method at neutral ungrounded system are analyzed in this paper. Multi-point fault location method based on C-type travelling wave method is proposed. By actively injecting high-voltage pulses into the circuit and using multiple measuring devices to detect the reflected wave of the fault point, the effect of high-impedance- grounded and branch points on the reflected wave of the fault point is effectively reduced, and the success rates of reflected wave detection of the fault point are improved. The validity of the method is verified by simulation.
A Fast Energy Equalization Control Strategy of Flywheel Array System Based on Fuzzy Power Distribution Control
Authors: Ren Jingpan , Ma Hongwei
Published: March 2020

Flywheel array is a kind of energy storage device with good performance, but there is still no suitable power distribution strategy which hinders its development. This paper proposed a flywheel array energy distribution control strategy based on fuzzy control. This control strategy takes the balance of residual energy among the flywheel units as the target, and by establishing appropriate fuzzy control rules to allocate the power required by the array. This method solved the problem of residual energy imbalance among each unit in flywheel array and improved the reliability of the flywheel array. Simulation results based on Matlab/Simulink verify the effectiveness of the proposed strategy.
Investment Effectively and Benefit Evaluation of Transmission Technology Project Based on DEA
Authors: Qi Xia , Wang Mianbin , An Lei , Geng PengYun , Wang Jianjun
Published: March 2020

With the advancement of power reform, the profit model of the power grid enterprise will undergo major changes. It is requiring the grid enterprise to control its own costs more precise. As a routine maintenance work to ensure the safe and stable transportation of electric energy, the grid technical transformation project has a great impact on the grid operation cost. Due to the many factors involved in the project, it is generally difficult to estimate the investment efficiency and often based on experience. It is difficult for the power grid enterprise to make a scientific and objective assessment of the investment efficiency of the technical transformation project. Firstly, this paper constructs the evaluation index system of investment efficiency of the grid technical transformation project from input-output perspective, and then the DEA method is chosen. Through the analysis of a case study, it proves the effectiveness of the proposed index system and method, and some advices are also given.
Analysis of Electromagnetic Interference in Shielded Cables by Ground Potential Difference in Substation
Authors: Fu Longhai
Published: March 2020

At this stage, with the continuous improvement of the substation voltage level and the use of related intelligent equipment, the electromagnetic environment is gradually complicated, which seriously threatens the safety and reliability of the operation of the high-voltage transmission system.In view of this, based on the analysis of the theory of substation ground potential difference, this paper studies the specific causes of electromagnetic interference of shielded cables in substation ground potential difference, and then proposes the main measures to prevent the rise of substation ground potential, and the anti-interference ability of shielded cables. It is of great practical significance to improve the anti-jamming ability of shielded cable.
Summary of calculation methods of PMSM iron loss based on finite element analysis
Authors: Zhou Jincheng , Hu Bowen
Published: March 2020

Since the birth of the motor, the accurate calculation of the iron loss of the motor has always been a big problem in the field of motor design.Too many factors affect the change of the iron loss of the motor, which is the main reason why it is difficult to accurately calculate the iron loss of the motor.The traditional magnetic circuit method and the finite element method are the two main ways to calculate the iron loss at present. In this paper, various iron loss calculation models in the finite element method are summarized and introduced,and the advantages of each model are compared.
Optimization of scanning path under ion beam cleaning process based on thermal effect
Authors: Zhang Shouzhen , Yuan Zheng , Pan Xiaobing , Su Hongchun , Wang Zhibin , Zhang Wei , Gong Lihong
Published: March 2020

Ion beam figuring (IBF) is an advanced machining technology for high precise optical component. For brittle materials with high thermal expansion coefficient such as KDP crystal, thermal effect is an intractable problem due to the accumulative heat introduced by incident ions on optical surface. Asymmetrical heating induces rapid changes of thermal stress and once the thermal stress exceeds the mechanical strength, the component may crack or break. In this paper, the number of scanning rows was factorized to various combinations with times of scanning and the number of moving rows. Temperature field and thermal stress of each combination were simulated using finite element analysis software ANSYS. Comparing with the results, the much better combination was found. With optimized scanning path, peak of thermal stress is lower than that of traditional scanning path. Especially, peak of tensile stress on X-distance and Y-distance were reduced obviously. At last, a law for optimization was established: when times of scanning and the number of scanning rows are equal or approximately equal, the thermal stress appears lower.
Research on thermal effect of KDP crystal under ion beam cleaning
Authors: Yuan Zheng , Zhang Shouzhen , Pan Xiaobing , Wang Zhibin , Su Hongchun , Zhang Wei , Gan Jianfeng
Published: March 2020

KDP crystal is difficult to fabricate for high precision. because it is brittle soft and with high heat expansion. Magnetorheological finishing (MRF) has been used to machine KDP for high precision. However, iron powders are easily embedded into KDP surface. Ion beam figuring (IBF) can clean iron powders embedded and enhanced laser-induced damage resistance. However, the thermal effect introduced by incident ions is a headachy problem. Temperature fields have been calculated by finite element simulation and measured by experiments. Thereof temperature fields of optical component bombarded by low energy ion beam were estimated and this estimate method is proved to be correct and feasible by comparing results of finite element simulation and experiments. And then, thermal stress of KDP under ion beam irradiation was calculated and discussed. Distributions of temperature and stress on KDP surface are accordant with beam current distribution. Temperature and stress rise quickly under ion beam irradiation, while decreases rapidly without ion beam irradiation. Peaks of temperature and thermal stress tend to periodicity. The period corresponds the period of ion beam moving spasmodically and fleetly in Y direction. Tensile stresses are not visible at X/Y/Z direction, but compressive stress at X direction is larger obviously than that of Y/Z direction.
Matching Method of Lunar Remote Sensing Image Based on Laplacian
Authors: Zhan Liang , Ma Jun , Sang xuejia , Luo Dan , Chen Xuehua
Published: March 2020

In recent years, there is an emerging interest in the exploration of the lunar surface. We can use many images of the lunar with different resolutions sent by more and more satellites that launched to the Moon. However, research on the lunar image matching still faces various difficulties. Significantly differing from the complex physical structure of the Earth’s surface, the lunar surface is mainly craters, ridges and mountains, and its simple physical structure directly leads to the difficulty of extracting the same name points; satellite sensors are easily influenced by multiple factors while imaging, such as the shooting angle of the forward-looking and backward-looking linear array, the sun’s angle of incidence, which is likely to cause some differences in the brightness of the images, and it makes the image matching choose the appropriate image enhancement method. In this paper, taking Chang’e II CCD lunar image as an example, firstly we propose a method of extracting the same-name point of lunar images based on Laplacian and image grayscale matching, and compare it with the commonly used SIFT + RANSAC algorithm, the accuracy rate and processing speed rate increases by 4.55% and 58.3% respectively, which verifies the scientificity and rationality of this method. Our work provides a new idea for the study of lunar image matching technology and lays foundation for the image-based lunar surface research and development.
Study on Influence Factors of Series-Parallel Compensation Device Voltage Control
Authors: Zhang Zhanjun , Dong Ji , Dong Yao , Wang jianfeng , Yang Huaijian
Published: March 2020

Aiming at the power quality problem of voltage sag in distribution network, the control factors and effects of dynamic voltage restorer (DVR) and distribution static synchronous compensator (DSTATCOM) are studied to flexibly configure DFACTS devices and improve the voltage quality of distribution network. Firstly, the basic principle and compensation strategy of DVR and DSTATCOM are elaborated. Then, the performance influencing factors of two compensation devices are deduced. The influence of voltage sag amplitude, system capacity and load capacity is discussed. It is concluded that the voltage compensation performance of DVR is directly related to load capacity and voltage sag amplitude, while DSTATCOM is directly related to system capacity and voltage sag amplitude. Finally, the effectiveness of the proposed method is validated by comparing the control effects of the two compensation devices on voltage sag under different voltage sag magnitude, system capacity and load capacity, which provides a theoretical basis for the reasonable access of DVR and DSTATCOM in distribution network.
Gas sensor fault diagnosis based on Convolutional Neural Network
Authors: Sun Yongyi , Liu Yangyang , Ji Fang , Li Gang , Ma Yanjun , Li Jin , Yang Lixin , Zhang Hongquan
Published: March 2020

Gas sensor often fails due to the influence of temperature, humidity, lighting, dust and toxic gases, and causes unreliable phenomena. Therefore, the fault diagnosis of gas sensors is considered as a weak link. Feature extraction and classification play an important role in gas sensor fault diagnosis. However, there are many problems in traditional feature extraction methods. For example, 1) requirements for expert experience, 2) sensitivity of changes in mechanical systems, 3) limitations of new feature extraction. Therefore, it is meaningful and attractive to develop a method that can discover and learn fault-sensitive features of gas sensors from the original data and classify them effectively according to the sensitive features. Convolutional neural network(CNN) has been widely applied in image analysis and voice recording, and has achieved great success. However, gas sensor fault diagnosis is rarely applied. This paper focuses on using CNN to learn fault features from data, extract features automatically, and then classify them effectively. Experiments show that the CNN method provides a effective solution for gas sensor fault diagnosis.
Source Diagnosis Method for Radiated EMI Noise Based on Wavelet and ICA Strategy
Authors: Zhang Qian
Published: March 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[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

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

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

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

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

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

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.
A self learning algorithm based on data value lifecycle model for the accurate chemical dosing of wastewater treatment
Authors: Zhai Zhengang , Gao Bingtao , Liu Dan , Yao Tengjun , Zhang Li , Pan Zhiyuan , Cao Jing
Published: March 2020

In the process of wastewater treatment (WWT), the instability and hysteresis of the chemical dosing cannot make sure the stability of the water quality. At the same time, chemicals were wasted or overdosed in the process. In this study, we proposed a self learning algorithm, which based on the regression method modified using the data value lifecycle model to computer the accurate quantity of chemical dosing. The mechanisms of discard and cultivation data were established to make it alive in the algorithm. The algorithm is self learning according to the wastewater characteristics as the time goes on using the mechanism. We can make sure the quality of the wastewater is stability and economical by using the artificial intelligence. The experiment approves that the artificial intelligence algorithm was useful and economical to chemical dosing of wastewater treatment.
Research on Charity System Based on Blockchain
Authors: Hu Baokun , Li He
Published: March 2020

The charity organizations in China lack transparency and the supervision to them is difficult to achieve, which has a negative impact on the willingness of the people to donate. Blockchain as a underlying technology of Bitcoin system provides a new solution for the charity system in terms of technology. This paper proposed a charity system based on blockchain technology and expounds the design pattern, architecture and operational process of the platform. Some core functions of the charity platform have been realized and verified on Ethereum in this article. We hope to increase the transparency of charities to enhance the public’s trust in charities and promote the development of philanthropy by blockchain-based charity system.
Research of Human Appearance Level Quantification Algorithm Based on BP Neural Network
Authors: Xue Shanshan
Published: March 2020

BP neural network has strong mistake tolerance and unsupervised speaker adaptation, so it has a wide range of applications in the field of pattern recognition. In this paper, an appearance level quantification algorithm based on BP neural network to extract face geometric features is proposed. We use 30 feature distances corresponding to facial features as the quantitative factor to calculate the appearance level and predict the appearance scores of the given face images.
Comprehensive Evaluation on Economic Performance of Flexible Substation Power Distribution Technology based on BP Neural Network
Authors: Lv Ke , Lu Yan , Yang Meng , Yu Min , Cheng Chen
Published: March 2020

With improvement of energy utilization level, the effective way of power distribution becomes a key research focus. The traditional rigid power transformation is featured in low transformation efficiency and serious power loss, while the power distribution technology based on flexible substation could exactly solve this problem. This paper, aiming at technical performance, economic benefits, environment impact, policy factors, selects system suitability, transmission efficiency, operational reliability, system transient characteristics, costs, investment efficiency, natural environment impact, social environment impact, and policy influence as evaluation indexes, designs five technical and economic evaluation grade and establishes fuzzy comprehensive evaluation system in combination with analytic hierarchy process (AHP), fuzzy mathematics and BP neural network to analyze the technical economic performance of AC/DC power transformation technology based on flexible substation, and provide references to subsequent project with example verification.
Research on SSD base network
Authors: Kang Yixuan
Published: March 2020

In this paper, eight neural networks are selected instead of VGG16 in the SSD model to construct the corresponding SSD model and were tested on ImageNet and VOC datasets. The accuracy, predict time and model size of the eight neural networks in object classification are analyzed. The mAP, FPS and model size of the eight neural networks as the SSD base network in the object detection are analyzed. The result can provide reference for object detection tasks under specific requirements.