bluuebunny/crossref_metadata_2025 huggingface dataset:
Improvement of Knowledge Search Method for Numeral Terms in Power System Based on Multi-source Fusion
Authors: Hua Min , Qi Xiao-man , Pan Ai-qiang , Zhao San-shan , Huang Xiao-xia , Wu Chao
Published: April 2020

In the process of energy and power research, it is often necessary to find numeral data information from multiple ways based on searching words, so the domain information can better analyzed and understood, visually discover hidden relationships between information and ultimately improve search efficiency and experience. The article designs a set of numeral entity discovery methods based on NLP and improves a visual search engine. Using CRF for named entity pre-processing extraction, using TF-IDF, etc. to complete multi-source information combination search and information mining method establishment, the power system energy database is used as the information source of the search engine, enabling users to locate the document data of the searching words in the energy database and the context information associated with them quickly, generate summary information, extract the central words based on this, and image the information in the form of word cloud and chart demonstration. Experiments have shown that the searching result are of interest to users, quickly locate the literature and context-related information containing the numeral hotspots, and the search recall rate is significantly improved.
Detection of DC Series Arc Fault Based on VMD and ELM
Authors: Ma Tao , Tian Ersheng , Liu Zhenxing , Liu Shuxin , Guo Tianhong , Wang Taowei , Fu Long
Published: April 2020

With the increase of domestic electrical equipment, the incidence of electrical fires has also increased, and research on fault arc detection has become a hot topic today. In this paper, a method combining variational mode decomposition (VMD), and extreme learning machine (ELM) is proposed to detect arc faults accurately. The characteristic signals of the resistance, capacitance and inductive load under normal conditions and arc fault conditions were collected by experiments. Then, the current data was processed by variational mode decomposition (VMD). Due to the different spectral characteristics of normal mode, arc fault mode and switching transient mode, the intrinsic mode function (IMF) under arc fault mode can be selected. Finally, according to the characteristic of determined IMF components, a new arc fault criterion was proposed for general DC arc detection. The experimental results verified that the proposed method can detect arc faults accurately.
Study on the Influence of Different Magnetic Fields on Vacuum Arc Based on COMSOL
Authors: Ma Huizhuo , Tian Ersheng , Yan Tianyv , Liu Shuxin , Yv Shijing , Yuan Limin , Zhang Rui
Published: April 2020

In this paper, the finite element software COMSOL is used to establish a two-dimensional simplified vacuum arc model, and the parameters are set in COMSOL to set the conditions. A transverse magnetic field is applied between the two contacts, and the transverse magnetic field can cause the arc to burn in one direction, reducing the ablation of the contacts by the arc. In this paper, the process of arc motion under different magnetic field strengths is studied. The trajectory of arc motion can be seen, reflecting the movement state of the arc at different moments and the comparison of the maximum contact temperature.
Phenomenon of Transformer Sympathetic Inrush and Analysis of an Example
Authors: Fan Ying , Ji Qingjing , Ma Huan , Chen Zhongyang , Shen Keli
Published: April 2020

According to a mal-operation accident of differential protection which is caused by the effect of a switching-on transformer with no load on a parallel running transformer in a 35KV substation, the emergency and the development of transformer sympathetic inrush current was analysed from the aspect of the flux. And the three-phase differential current and their second harmonic component were obtained, which shows that the mal-operation wasn’t caused by the low second harmonic component in the differential current but by the changed transfer characteristics of the current transformer, which leads to an increase in the differential current.
Reliability Evaluation Method of Distribution Network Based on Consumers’ Sensitivity Classification
Authors: Sun Guanghui , Zhang Tao , Zeng Qinghui , Tu Wanjing , Wang Yunfei , Zhang Sihan
Published: April 2020

In order to improve the accuracy of power supply reliability evaluation, this paper proposes a reliability evaluation method of distribution network based on consumers’ voltage quality sensitivity. Firstly, 6 indexes of power supply reliability are extracted and divided into general and other indexes to measure consumers-side experience and failure repair capability respectively. Secondly, according to the consumers’ voltage quality sensitivity, they are classified into sensitive consumers, general consumers and insensitive consumers. Based on the data of regional electricity consumers, consumers’ voltage sensitivity classification is obtained. After combining the voltage sensitivity classification of consumers with distribution network reliability index data, a reliability evaluation model of distribution network is established. Finally, an instance analysis shows that consumers’ sensitivity and the proportion of different consumers have significant influence on the evaluation results.
Evaluation of Human Error Probabilities of Power Grid Dispatchers Based on Hybrid Risk Analysis Method
Authors: Zhou Yi , Peng Caifang , Fang Xingqi , Song Bingbing , Teng Xiaobi , Lu Yi , Fu Shan
Published: April 2020

In the power system, the dispatcher’s inappropriate execution commands often have great impact on the safe operation and might lead to accidents. In order to further study the risk mechanism of human factors and calculate the human error probability (HEP), this paper proposes a hybrid risk analysis method called SD-SPAR (a System Dynamic Model for the Standardized Plant Analysis Risk (SPAR) Method), which combines the SPAR Human Reliability Analysis method with the System Dynamic (SD) approach to initialize a framework to model dynamic relationships between the Performance Shaping Factors (PSFs) and HEP. First of all, to reduce the uncertainty of grade division for the PSF stress and make the result of HEP more accurate, a physiological factor measurement method was adopted to calculate the dispatcher workload and help to divide the stress quantitatively. Second, based on the SD-SPAR method, the path dependence between the PSFs were summarized to reveal their influence on HEP and successful performance. Third, by analyzing the causality and feedback mechanism of the internal factors, the reasons accounting for incidents can be found to help analysts have a deeper understanding about the incidents, and to move forward improvement strategies to decrease the human error risk so as to achieve better task performance. This study can also be used to form the basis for the simulation of various control scenarios. It can help to explore better solutions to prevent and correct human error behaviors, and guarantee the safe operation of the power system.
Optimization Framework and Application Research of Automatic Test System for Armored Vehicles
Authors: Liu Peng
Published: April 2020

The optimization of the automatic test system for armored vehicles is a system engineering. Based on the analysis of the current research status of automatic test systems, automatic test system optimization framework is introduced. According to the relevance with the architecture and software function, the software optimization is divided into three categories, focusing on the first two categories of nine optimization content. Aiming at the accuracy optimization of software prediction in the Class II software optimization, a state prediction algorithm based on GA-ANFIS is proposed, which can be used to predict the SOH of lead-acid batteries in armored vehicles. The experimental results verify the effectiveness of the GA-ANFIS algorithm.
Study on inertia weight decreasing strategy of particle swarm optimization based on inverse coseca
Authors: Liu Huiming , Liu Yong , Zhen Jiaqi
Published: April 2020

The standard particle swarm optimization (pso), which introduces inertia weight w, is an effective method to find the extreme value of the function. However, particle swarm optimization (pso) has some disadvantages. When dealing with optimization problems, pso lacks effective parameter control and is prone to fall into local optimization, which leads to low convergence accuracy. In, this paper, put forward a new improved particle swarm optimization (pso) algorithm, The nonlinear decreasing inertia weight by the CSC function strategy, at the same time to join the beta distribution on random Numbers, thus to balance the global search and local search ability of the algorithm. The learning factor is the changed asynchronously to improve the learning ability of the algorithm. By adopting Griewank, Rastrigrin, J.D. Schaffer three standard test functions to simulate experiment, at the same time and the basic particle swarm algorithm the inertia weight in a fixed value, the linear regressive LDIW and nonlinear regressive comparison. The experimental results show that the nonlinear decreasing strategy with dynamic adjustment of inverse cosecant function can improve the convergence speed and stability.
Research on the Progress in Process Control of 3D Printing Technology
Authors: Yao Cenglin
Published: April 2020

With the rapid development of 3D printing technology, it has been applied in more and more fields and products, so the research on 3D printing technology control process has important practical significance. This paper first analyzes the current development of 3D printing technology, and then introduces the classification of 3D printing technology, as well as the classification of control process system. Finally, several control process systems of 3D printing technology are analyzed and studied.
A new car logo extraction method based on license plate detection
Authors: Ren Hanwen
Published: April 2020

Nowadays, intelligent transportation system is becoming the new trend because of the development of modern traffic, which serves to help gather traffic data, control traffic and improve road safety. One big challenge within intelligent transportation system is car model detection, which provides important information for traffic monitoring and planning. Currently, most car model extraction focus more on one-pass solution, which directly finds out the car logo region. In this paper, a new hybrid car logo extraction method based on license plate detection is proposed. First, a text detection is applied on car images to locate the license plate. Then, within a region of interest above license plate, a sub region is extracted to locate the car logo based on edge information. The fundamental concept is that using the relative location information between the license plate and car logo can take the most advantage of existing state-of-the-art license plates detection methods which is practically accurate, robust and efficient. Experimental results on OpenALPR dataset demonstrate its good performance in extracting car logos.
A three-dimensional simulation method of ground cracks based on images from drone
Authors: Yajun Lei , Ao Zhang , Jianhui Yang , Wangxin Cheng , Zhanling Sun , Shasha Xia , Ting Zhou , Lihong Dong
Published: April 2020

The ground cracks in the goaf will affect the safety of the local people and the ecological environment. Therefore, the three-dimensional model of the ground cracks can provide certain decision support for the coal mine safety production managers. In this paper, a three-dimensional model method for ground cracks based on images acquired by drones is proposed. Firstly, based on a small amount of original borehole data, Kriging interpolation method is used to generate enough stratum information, and the grid model is used to establish the original stratum three-dimensional model. Secondly, the image acquired by the drone is needs to be preprocessed, and the corner data is obtained as the key point of the crack by using the Harris algorithm. Thirdly, generate the three-dimensional model of the ground crack. It is inserted into the original three-dimensional model of the original stratum, and finally a three-dimensional model of the stratum containing the ground crack is obtained. The experimental verification shows that the method can effectively simulate the ground crack.
Analysis of Energy Conversion Law in Vehicle Collision Accident
Authors: Chi Hongpeng , Gong Bing
Published: April 2020

The characteristics of automobile collision are introduced. The dynamic analysis of automobile collision accident process is carried out. The whole collision process is reproduced. The energy conversion law of collision accident process is analyzed qualitatively and quantitatively. The calculation of collision deformation of experimental vehicle under three conditions is completed.
SE-DEA-based Approach to Determining the Hub Growth Potential of Airports
Authors: Wang Yu , Li Bowen , Wang Qian , Che Tong
Published: April 2020

Determining which airports can grow to hubs in a transportation system is a basis of hub-and-spoke network design. From the perspective of airport operation efficiency, this paper presented a SE-DEA (super-efficiency data envelopment analysis)-based approach to identify those airports that possess the hub growth potential. Firstly, the urban population, urban GDP, and the number of navigation points were considered as input variables. The throughput, the proportion of transit passengers, the proportion of international passengers, the normal rate of airport release and the proportion of base airline were treated as output variables. An empirical analysis with the data of several main American airports in 2018 was solved by DEA-SOLVER Pro 5.0 software. The results show us: (1) the top three airports are LAS (McCarran International Airport), ATL (Hartsfield-Jackson Atlanta International Airport) and MIA (Miami International Airport), (2) the results are consistent with the reality and this proposed method could lay theoretical basis on finding airports which have the potential to become hub ones.
Model of heterogeneous passengers’ rerouting behavior under metro operational disruption
Authors: Zhu Huiying , Xiao Wenjin , Zhang Qi
Published: April 2020

This paper presents a framework to identify affected commuter passengers and their rerouting decisions under metro operational disruption. A cumulative prospect theory (CPT) based model is proposed to capture commuters’ mental activity and behavior from individual perspective considering heterogeneities, including time value, requirement of arrival time, sensitivity of cost and attitudes toward risk. Thus, commuters’ rerouting decision among multiple modes such as metro, bus, taxi and walking, can be effectively and accurately identified, which successfully overcomes the limitation of simplification and assumption in traditional methods. Case study of Beijing metro network and corresponding data of Automatic Fare Collection System (AFC) under disturbance in real world proves the effectiveness of the presented method.
Design of Semiconductor Synchronous Buck Converter based on GaNWide-bandgap
Authors: Jing-ran Ma , Yao-jun Qu , Yan-xia Song , Shunshoku Kanae , Jing Bai
Published: April 2020

Aiming at the limited switching frequency of traditional silicon (Si) based devices and its huge switching loss when working under the high-frequency conditions, this paper proposes a synchronous buck converter based on GaN power devices with good switching performance and low loss. In this paper, the detailed parameter design method and simulation circuit were given. This paper also conducts thermal stability analysis. Finally, the simulation experiment proves the feasibility and effectiveness of this theory.
Research on New Macro-Moving 3D Mouse Based on 3-UPS Space Parallel Mechanism
Authors: Wendi Xie , Yu Rong Zhao , Xia Peng
Published: April 2020

This paper describes a new macro-moving 3D mouse with STC89C52 chip as the control core, combined with A/D conversion chip, sensors, USB interface and using 3-UPS space parallel mechanism. The 3D mouse has obvious motion perception, good real-time performance, high reliability, excellent technical performance, convenient operation, low cost and excellent performance, which meets people’s needs and has a broad application prospect.
Application of post-processing technique in diagnosis of coronary computed tomography angiography imaging
Authors: Zhang Tianqi , Xu Nannan , Gong Tingting , Li Bo , Liu Jianhua , Yuan Qinghai , Wang Lei
Published: April 2020

Coronary artery disease (CAD) as a common chronic disease, acute myocardial infarction (AMI) is one of the most urgent manifestations of CAD which had a highly mortality. Coronary computed tomography angiography (CCTA) combined with post-processing technique was the best way to diagnosis CAD in routine examination. By various postprocessing techniques, such as Volume rendering (VR), Curved planar reformations (CPR) techniques can speed up the complicated processing of CCTA and improve the diagnostic accuracy of radiologists.
Feasibility of applying computed tomography imaging in acute aortic syndrom
Authors: Yuan Biying , Gong Tingting , Jin Longhai , Xu Nannan , Liu Jianhua , Yuan Qinghai , Wang Lei
Published: April 2020

Acute aortic syndromes (AAS) is one of the most frequently symptoms with acute chest pain. Aortic computed tomography angiography can assess aortic dissection, penetrating aortic ulcer, and intramural hematoma effectively. Imaging features include false and true lumen of aorta in aortic dissection. False lumen is usually larger than true lumen. Imaging features of intramural hematoma include thickened wall which is more than 5 mm, the thickened wall is not enhanced after injection of contrast agent. Imaging features of penetrating aortic ulcer include niche from the aortic wall. Post-processing methods include multi-planar reconstruction (MPR), curved-planar reconstruction (CPR) and volume rendering (VR). These methods are common techniques to assess acute aortic syndromes.
Magnetic Leakage Simulation of Converter Transformer and Shielding Analysis of Different Material Shielding Devices
Authors: Zhou Junfeng , Wang Shuo , Peng Chong , Wu Peng , Wang Ning , Yang Shuqiang
Published: April 2020

Due to the complex structure and large winding current of converter transformer, the magnetic flux leakage was more serious, which was prone to local overheating and affected the safe and stable operation of transformer. Therefore, it was necessary to study the distribution of magnetic flux leakage in transformer. In this paper, the three-dimensional model of 500kV converter transformer was established based on the actual drawings, and the magnetic flux of iron core, fuel tank and distribution of magnetic flux leakage between high and low voltage winding was calculated under time-harmonic field by using the finite element method. The shielding method combining strip shielding plate and lung lobe shielding device was adopted, and the influence of different material shielding devices on the distribution of magnetic flux leakage was compared and analysed. The research results showed that when the shielding device adopted new material, the maximum magnetic flux leakage of the fuel tank decreased to 0.22T, decreasing amplitude of 65.62%, and the magnetic flux leakage in winding space decreased by 20.83%, which significantly improved the shielding effect.
Design of Autonomous Obstacle Avoidance Unmanned Boat System for Wetland Monitoring
Authors: Chen Hengyu , Wu Zhuosi , Zheng Ruidong , Zhang Shesheng
Published: April 2020

In view of the drastic reduction of wetland area, serious pollution, low efficiency of prior art and many factors, this paper proposes an autonomous obstacle avoidance unmanned boat system design for wetland monitoring. The system adopts D* algorithm and improved LOS guidance law to realize unmanned ship track control and global path planning, and combines Yolov3 algorithm for target recognition and partial data acquisition during navigation to achieve autonomous obstacle avoidance navigation. The sensor is used to collect the wetland environment information and upload it to the shore monitoring centre to complete the automatic data collection and monitoring of the wetland. The system can improve the efficiency and quality of wetland monitoring, reduce labor costs, and can be widely used in wetland monitoring automation, marine environment monitoring, and cloud service platforms.
Design and Simulation Analysis of Cutter in New Sewer Dredging Device
Authors: Hu Xueqing , Liang Peijun , Shen Yifan , Tian Aoxiang , Yang Menglan
Published: April 2020

The existing sewer dredging method can not meet the needs of high-speed operation of the city. Through the research and analysis of the cutterhead of the shield tunneling machine, combined with the requirements of the sewer environment and dredging work, three-dimensional model, Ansys simulation analysis and physical experiments are adopted. In this way, a new type of spoke panel cutter head was designed. The cutter head adopts a new type of scraper. The structure is exquisite and the assembly is simple. It can effectively clear the sediment in the sewer environment and complete the initial recovery of the silt.
A Reinforcement Learning Method to Scheduling Problem of Steel Production Process
Authors: Guo Fang , Li Yongqiang , Liu Ao , Liu Zhan
Published: April 2020

In this paper, a reinforcement learning method is utilized to solve the steel production scheduling problem. Based on characteristics of steel production processing, the model of hybrid flow-shop scheduling problem is constructed. Then the model is attributed to a Markov Decision Process, and corresponding states, actions, reward function are put forward. When trading off the exploration and exploitation, an improved ε -greedy policy is designed. Finally, this hybrid flow-shop scheduling model based on reinforcement learning is applied to the scheduling example of steel production processing. Compared to genetic algorithm, the reinforcement learning method gets the better result.
Design and Research on Multifunctional Dredging Machine for Urban Sewer
Authors: Tian Aoxiang , Yang Yanfang , Shen Yifan , Liang Peijun , Hu Xueqing , Yang Menglan , Liu Zili , Li Yongchao
Published: April 2020

The drainage pipeline is responsible for the collection and transportation of urban sewage and wastewater, and is one of the necessary facilities for the normal operation of the city. Therefore, it is of great significance to unblock and prevent the sewer pipe. A new type of dredging machine is designed to overcome the defects of the existing dredging method. The machine consists of two parts: a mechanical module and a control module. The machine adopts the idea of mechatronics which realize the automatic operation of the multi-function dredging machine, and it has low cost and good market economy benefits.
Image description by harmonic Fourier moment
Authors: Hu Hai-tao
Published: April 2020

In this paper, Two kinks of orthogonal moments are constructed with Trigonometric functions, named Harmonic-Fourier moments (HFMs), which include Cosine-Fourier moments (CFMs) and Sine-Fourier moments (SFMs). These kinds of moments can be used in image and object analysis. The radial functions of HFMs have more zeros than Zernike polynomials of the same degree so that the property makes HFMs have stronger ability in image description. Furthermore, the formulas of HFMs are extremely simple. This property makes it possible that HFMs can be computed at a higher speed.
Dynamic Analysis of Digital Twin System Based on Five-Dimensional Model
Authors: Sun Lei , Pei Aigen , Qi Xuan , Cao Sheng , Yang Ruibo , Liu Xiaoke
Published: April 2020

The practical application level of digital twinning technology has always been far from people’s expectations. In order to make the digital twinning technology develop better, it is urgent to explore the internal causes of this kind of drop. Based on the theory of digital twinning five-dimensional model, combined with the actual situation of software development, dynamically analyze the working state of digital twin system, observe and discover the working conditions of various structural elements in the work of digital twin system, and propose the data of twins in digital twin system. The existence method, clear the concept of multiple virtual entities in the digital twin system, propose the principle that the service elements must be combined with the physical/virtual entities, summarize the organizational structure and operation rules of the digital twin system, and summarize the principles of a series of digital twin systems. The concept points out how to reduce manual operations to improve the operation of digital twin systems. The conclusions based on the five-dimensional model of the digital twin system are universal and can provide reference for the establishment and management of various types of digital twin systems.
The application of ultramicroscope with high precision in light and small laser communication system for micro-nano satellite
Authors: Chi Tie , Li Xiaoming , Meng Lixin , Zhang Lizhong
Published: April 2020

With the rapid development of space laser communication technology, it is possible to realize mass data transmission between satellites in low orbit. Micro-nano satellite is the first choice of low orbit communication satellite because of its lightweight, small size and low cost. Laser scanning technology is a kind of technology that can accurately control the direction of laser beam. It has been widely used in the field of space laser communication. In this paper, after analyzing the technical requirements of the scanning mirror with APT system for microsatellite, a kind of miniature scanning mirror is selected to realize the accurate pointing of the beam.
Research on embedded file management system based on Forth virtual machine
Authors: Wan Chunmei , Dai Hongbing
Published: April 2020

In view of the lack of file management mechanism in the current embedded Forth operating system, a file management system is proposed in this paper. Embedded Forth system in astronomy, image processing, artificial intelligence has a wide range of applications, such as is the current popular embedded Forth system cannot be updated online, on-line modification and online programming problem, this subject adopts Forth, delayed word virtual machine technology, build operating system based on embedded Forth file management system of the SD card, to write a Forth system with SD card drive function, Forth buffer management, dynamic load, the editor’s build, complete Forth communication between the system and the SD card, load the related data from SD card, Make changes in the Forth system and save them to an SD card. To build a small file management system in the embedded Forth system and realize online editing, loading and updating in the embedded system.
Establishment and Simulating Verification for Hyperbolic Tangent Model of Magneto-rheological Damper
Authors: Li Gang , Lin Hao , Ouyang Na , Hu Guoliang , Xu Rongxia , Gu Ruiheng
Published: April 2020

Firstly, the parameters of hyperbolic tangent model with magneto-rheological (MR) damper are identified via particle swarm optimization algorithm based on the mechanical properties test. Then, the functional relationship between the identified parameters and input current is fitted by curve fitting toolbox. Ultimately, Simulink toolbox is utilized to design and establish the hyperbolic tangent simulation model with MR damper, meanwhile, the different input currents and sinusoidal signals with other amplitudes and frequencies are selected for simulation and comparative analysis. The results show that parameter identification accuracy of particle swarm optimization algorithm is high. The simulation and experiment data under combination conditions with different input currents and other sinusoidal signals are in good agreement, which verifies the generality and accuracy of the parameter identification results.
Multi-functional indoor elderly standing seat
Authors: Su Lei , Peng Lijun , Wang Yuheng , Xiong Xinhong
Published: April 2020

As China’s running enters an aging society, the number of people over the age of 60 is growing rapidly, and the number of “empty-nesters” living alone and widowed is growing at an unprecedented rate. The elderly living alone are the vulnerable groups of the elderly, their own control of the environment and the ability to cope with sudden situations, and no one to take care of, it is easy to accident. Therefore, to create a peaceful, peaceful, happy old age, so that they live in peace and security, happy to spend every day, is a major task we have to take on. Based on the above background, the team members studied and designed a new type of power-assisting device- multi-functional indoor power-assisted chair. The device has the characteristics of light body, clever structure and low cost, including two function modules, auxiliary sitting and auxiliary walking. The coordination and cooperation between the various agencies effectively prevents the accident when the elderly are alone at home, which has high practical value and promotion value.
Application of SSD framework model in detection of logs end
Authors: Tang Hao , Wang Kejian , Gu Jiancai , Li Xiaoye , Jian Wenhao
Published: April 2020

External factors in the natural environment interfere with the detection of logs end. A method for detecting the logsend using an SSD model in a natural scene is proposed. The use of default frame in SSD can realize the extraction and utilization of target features with different scales and improve the detection accuracy. By manually marking the foreground area of the logs end, the interference of the features of the background area is reduced, and the convolution learning of the feature of the target area is enhanced. The performance evaluation and comparison test of the method showed that the accuracy rate was 94.87% and the recall rate was 91.34%. Compared with the traditional method, it reduces the occlusion effect caused by light and shooting angle, and improves the detection accuracy.
A high precision TDC design based on FPGA+ARM
Authors: Zhang MengDi , Wang HuaChuang , Liu Bo
Published: April 2020

In this paper, a high precision time digital converter(TDC) is designed based on FPGA and ARM, It includes coarse module, delay chain module, look-up-table module, ringosc moduleand spi module in the FPGA chip. The ARM chip is used for reading the timestamp and printing through the serial port. The key technology of this design is using the CARRY4 block of Xilinx Aritex-7 series to construct a delay chain for finecount. The system clock is used as the coarse count. The timestamp is obtained by the combination of fine time and coarse time.In addition, the precison of TDC is improved by code density test. The experiment result shows that precision of TDC is 43.2ps.
Research on Anti-Jamming for UAV Airborne Jamming Method Based on Relay Optimization Strategy
Authors: Fang Fang , Liu Xuewen , Li Yonggui , Shen Qing
Published: April 2020

Aiming at the new threat of Unmanned Aerial Vehicle (UAV) airborne jamming faced by wireless mobile communication networks, a communication network anti-jamming technology method based on relay optimization selection strategy is proposed. In order to achieve the maximum transmission rate of the selected relay node, a system model based on multi-arm bandit (MAB) is established. It is proved by simulation that the method of selecting the best relay node by Upper Confidence Bound (UCB) algorithm is feasible. It can avoid the nodes that are most affected by jamming and improve the anti-jamming ability of the communication system.
The Measurement of Acoustoelastic Constant to evaluate Stress by UsingUltrasonic Waves
Authors: Zhu Yuhong , Zhao Hong , Song Cheng , Hu Bin
Published: April 2020

This experimental study aims to investigate the capability of the ultrasonic method by using critically refracted longitudinal (LCR) wave for measuring welding stress in elastic limits.Ultrasonic technique is based on the linear relation between the ultrasonic wave velocity and the stress, known as the acoustoelastic effect.To determine acoustoelasticconstants, different amounts of stress were applied to the specimens by using uniaxial tensiletesting machine. The outcome of the study showed a linear relation between time-of-flight (TOF) measured and the tensile stress in the samplesand providedthe acoustoelasticconstants of Q345. This paper also analyzed the measurement influence factors including the thickness of couplant, temperature and residual stress.
Modeling and Simulation of Top-level Design Based on MBSE
Authors: Dandan Wang , Hao Liang , JianWen Cui
Published: April 2020

To solve the problem that it is difficult to evaluate and optimize the top-level system design scheme of complex products, a modeling and simulation method of top-level design based on MBSE is proposed. Through the use of SysML to describe the requirements of the system and the functional decomposition and interface of the subsystem, the system model is established; then, the mapping relationship between the SysML model and the Petri net is established, and the SysML model is transformed into the Petri net model. The model is verified by the Petri net simulation tool to evaluate the rationality of the requirements and the completeness of the overall indicators. The simulation results show that100 optimization design variables and 10 optimization constraints can be achieved to meet the requirements.
Measuring Method and Device for Mechanical Characteristics of AC Contactors
Authors: Li Bin , Wang Liang , Song Jian , Su Kun , Liu Yang , Liu Shuxin
Published: April 2020

AC contactors are widely used in various low voltage electrical control circuits. The operation status of AC contactor will affect the safety and reliability of power system operation, so it is important to accurately evaluate the operation status of AC contactor. An outstanding feature of electrical intelligence is that it can be monitored on-line, which is of great significance for evaluating the performance degradation of AC contactors. Accurate acquisition of physical quantities such as speed and acceleration of AC contactor is difficult at present. Traditional method installs vibration sensor in linear motion of AC contactor. The vibration of contact system of AC contactor will inevitably produce large interference signal, which is not easy to filter and affects the acquisition and processing of useful signal. Therefore, it is necessary to have stable devices and more suitable algorithms to measure and calculate these physical quantities.
Saliency Prediction Based On Lightweight Attention Mechanism
Authors: Wang Yu , Zhu Ming
Published: April 2020

Saliency prediction refers to an algorithm that extracts salient regions from natural scenes. In the field of deep learning, receptive field limits the accuracy of pixel classification and thus affects the accuracy of saliency prediction. This study proposes a new saliency prediction method that uses the improved feature pyramid attention (FPA) to gain multi-scale context information to solve the above-mentioned problems. FPA’s number of parameters and cost of calculation are also decreased. Experimental results show that this method can obtain more accurate results than the existing saliency prediction methods without increasing the calculation amount.
Construction of Dynamic Weights in State Degradation of AC Contactor
Authors: Li Jin , Tian Ersheng , Li Yanfeng , Liu Shuxin , Hou Lei , Zhu Guodong , Su Yang
Published: April 2020

AC contactor needs to break the main circuit and control circuit frequently in the process of operation. With the accumulation of electrical stress and other losses, AC contactor will fail, causing accidents and huge losses. The whole life model of AC contactor is designed to objectively reflect the state information during the operation of AC contactor and predict the end time of the electric life of the contactor, so as to ensure the safe and reliable operation of the power system. The whole life test of AC contactor was carried out under the test condition of AC-4, and the parameters of the whole life model were obtained from the test data. In order to accurately reflect the influence degree of each characteristic parameter on the life during the whole degradation process, the general constant weight evaluation model was optimized. The results show that the evaluation model with dynamic weight is better than that with constant weight.
A Design of Online Tobacco Moisture Monitoring System
Authors: Shi Xiang , Jin Yucheng , Zang Chunhua , Wang Wenlong
Published: April 2020

This paper introduces a moisture monitor based on NB-IoT which can be used to remotely measure the moisture of tobacco packet that will be stored for a long time. The sensor section of the device uses a capacitive method to complete capacitance to voltage conversion and the monitor uses STM32 to control the sensor work. The measured data is transmitted to the web server through NB-IoT, and further data analysis and processing can be performed on the server side. The moisture monitor designed by us in this paper has achieved high precision, low power consumption and low packet loss rate after being used in the tobacco warehouse. The device can work for two years and the status of tobacco moisture was monitored steadily.
Incorporating Morphological Compostions with Transformer to Improve BERT
Authors: Song Yuncheng , Song Shuaifei , Ge Juncheng , Zhang Menghan , Yang Wei
Published: April 2020

BERT model achieves huge performance gains by modeling words and their subwords as input units. However, it still neglects the semantic information of morpheme which has been verified in many previous works. In this paper, we propose Transformer Morpheme Model (TMM), which is based on BERT and explores the effect of morpheme. Since the process of previous works about morpheme are context-independent.TMM model adopts Transformer to process morpheme information on the input layer to overcome this problem. Experiments on MRPC task are conducted to validate the feasibility of our model. TMM model has achieved about 1% gains over BERT model on MRPC task. The results demonstrate the superiority of our method and the effectiveness of morpheme information in the BERT model.
Merrifield-Simmons index of Cartesian product of two graphs
Authors: Liu Man , Tian Shuang-liang , Yang Qing
Published: April 2020

Merrifield-Simmons index of a graph G shorted word M-S index, noted by σ(G), which is defined as the number of the independent sets of the graph G. In this paper, a special graph is defined and considered the Merrifield-Simmons index. The main concer in this work is devoted to calculating the number of independent sets with respect to the Cartesian product of Sm
and Pn
, where Sm
is a star of order m and Pn
is a path of order n, respectively.
Research on Real Estate Transaction Platform Based on Blockchain Technology
Authors: Yang Liwen , Wang Jiehua
Published: April 2020

This paper analyzes the current status of real estate transactions in China and puts forward some shortcomings. In response to these shortcomings, a real estate transaction platform based on blockchain technology is proposed. This platform uses the Hyperledger Fabric platform to effectively connect purchasers, sellers, financial institutions and government departments. Firstly, the whole transaction process of the platform is proposed. Then, the design framework of the system is proposed and the implementable scheme is given. At last, this work summarizes some points of the program, and points out the shortcomings and difficulties in the future work.
Design of 220GHz harmonic mixer
Authors: Yu GuoSheng , He QingGuo , Zhou Biao
Published: April 2020

220GHz is the frequency of atmospheric window. The mixer working in this frequency band has a very important application in terahertz communication detection and other fields. This paper introduces a mixer design based on planar Schottky barrier diode. Based on the reverse parallel diode fabricated by the process platform of the 13th Research Institute of China Electronics Technology Group Corporation. The schematic layout of the mixer is simulated and optimized by the joint design of ADS and HFSS and other electromagnetic simulation software. Finally, The frequency conversion loss is less than 9 in the range of 200 to 240 RF frequencies.
Research on Design Method of Human-in-the-loop Civil Aircraft Simulation System
Authors: Jilei Fu , Zhanwen Qu , Yi Lu , Tong Zhang , Dan Huang , Shan Fu , Xinai Zhang
Published: April 2020

In the process of aircraft development, in the conceptual design and functional design phase before semi-physical simulation verification, it is often necessary to rely on the all-digital simulation system to design aircraft components and systems and verify that all requirements are satisfied. To meet the civil aircraft design requirements under unconventional conditions and build a holistic and comprehensive functional network, this paper demonstrates a forward design process of the scene-based civil aircraft system functional requirements identification based on the human-in-the-loop simulation system. The method proposed in this research promotes the construction of a requirement-function evidence chain. It provides a theoretical basis and method suggestions for the transformation from result control to process guarantee to support the development of civil aircraft products.
Research on image segmentation of inner cylinder wall with annular weld based on deep learning
Authors: Jun Fei Xia , Qiao Sheng Feng , Xiang Dong
Published: April 2020

Based on the characteristics of autonomous learning with deep learning and high recognition rate, an image segmentation study based on Faster R-CNN for the inner wall annular weld is proposed. The method extracts pixels containing annular weld feature information by using an RPN network to improve target detection speed. Then, the convolutional layer output detection model is shared by the RPN network and the Fast R-CNN network to realize accurate detection of the annular weld in the video image. The research results show that the proposed method can accurately detect the circumferential weld bead and segment the image under the condition of poor video image quality, and has the advantages of strong anti-interference ability and accurate identification.
Physicochemical properties, antimicrobial and antioxidant activity of ganoderma transparent soap
Authors: Hayati S N , Rosyida V T , Darsih C , Nisa K , Indrianingsih A W , Apriyana W , Ratih D
Published: April 2020

Ganoderma lucidum has been known as a cosmetic source. It contains bioactive ingredients such as triterpenoids and polysaccharides. The present study was to formulate transparent soap enriched with Ganoderma (Ganoderma lucidum) extract and investigate its antibacterial and antioxidant activity. Formulation of Ganoderma transparent soaps was made by hot process method. The results showed that Ganoderma transparent soaps have moisture content 21.8%, pH 9.22, total fatty matter 41.66%, free fatty acid 1.08% and chloride acid 5.57%. Antibacterial assay by agar well diffusion method showed that Ganoderma transparent soaps were more active against the S. aureus than the Gram-negative bacteria and even C. albicans. The antioxidant activity assay using 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical showed that the IC50 of transparent soap was 1.53 mg/mL.
Utopia or reality: architectural and urban typologies in the future of cities
Authors: Adonina A V
Published: April 2020

The article discusses modern conceptual architectural and urban planning projects. Taking the example of programs for international architectural and urban planning competitions, new architectural and urban planning typological units are identified. For example, urban meal mine, digital colosseum, parking tower, functional bridge, as well as habitat concepts, could be the next step in the development of cities. The projects noted by the competitive jury are analyzed on the subject of which aspects proposed by the participants are utopias, and which can become reality. As a result of the study, a forecast is made of the application of the identified design trends in relation to Russia, as well as recommendations are given on the introduction of such conceptual contests in the context of regional problems.
Application of metareconstruction method as a means of marking traces of lost historical buildings
Authors: Artemyeva T G , Balzannikova E M
Published: April 2020

The article analyzes the well-known methods of conservation of architectural heritage. The international and Russian regulatory documents on the conservation of buildings are considered. The authors determine the approaches to development of ways to recreate lost historical monuments or their parts. A new method for preserving historical architectural objects is proposed. The method is based on the principle of repeated reproduction of the image of the building by marking the general contours of the lost shape with the restoration of the metaphysical properties of the object. The term “metareconstruction” is proposed to denote a new method for preserving historical objects within the existing urban environment. The method can be implemented for saving environmental objects. The main characteristic features of the method and its difference from other known methods are listed.
‘Smart city’ system as an asset of cultural landscapes development
Authors: Blagovidova N G , Iudina N V
Published: April 2020

The article touches upon the idea of ‘smart city’ and ways of how it could be applied to advancing contemporary urban environment. Highlighting variety of definitions this popular term demonstrates there is posed a problem of apprehension both in theory and architectural practice. Authors place particular importance on social aspects of the method to be improved to make it adaptable to integrate with cultural heritage. Having referred to successful examples of heritage technological improvement authors claim ‘smart city’ to possess a level of ‘transparency’ high enough to create the superstructure of urban history basis, which is particularly significant for small towns and settlements of Russia. Finally ‘ smart technologies’ pretend to be an efficient strategy in Russian dispersal system for consistency enhancement.
Formation of innovative public spaces in railway areas
Authors: Eremeeva A F , Rebrova E M , Lobanov Y N , Rusanov G E
Published: April 2020

The paper addresses the issues of railway areas in a modern city and their potential in the formation of public spaces. In the course of their study, the authors analyze the experience in the architectural and urban planning integration of railway areas into the urban space in such directions as interaction with facilities maintaining their transport (railway) function and re-purposing of closed railway lines. As a result, the authors conclude that railway lines can be structurally transformed, thus becoming not barriers between districts but elements of the green pedestrian framework. The authors also propose a concept of re-using railway infrastructure elements not used for their primary purpose to organize public spaces. In the paper, various scenarios of organizing an innovative adaptable square with the use of mobile modular units made from former train cars are considered through the example of a park along Finland (Finlyandskaya) Railway Line in Saint Petersburg and its filling with various objects.
Research of documents on the architectural heritage protection in terms of the preservation of the Samara historical urban nucleus
Authors: Fadeev A V , Nasybullina R A
Published: April 2020

The article presents the attempt to define principles, which could serve as the basis for developing an approach to the reconstruction, rehabilitation and modernization of the historical urban nucleus of the Samara city. In order to identify significant aspects of this issue, the article deals with documents relating to the protection, restoration and reconstruction of architectural, historical, and cultural heritage (international agreements, charters, conventions) that appeared in the late 19th - 20th centuries.