bluuebunny/crossref_metadata_2025 huggingface dataset:
Vehicular ADHOC Network Based Safety Improvement
Authors: Karpagam M. , Shyam Kumar M. , Monikavishnuvarthini A , Sowmiya M.
Published: May 2021

As the development of processing power and communication speed increasing the possibilities of many thing which where thought impossible things are possible like communication between vehicles often referred as VANET-Vehicular networking. The possibilities of intruders even like even they can bypass through normal firewalls in industries now we have a problem in our VANET as the rate of speed increases with increase in processing speed it gives a good way to manipulate and get away details very fast. So we want ensure the robustness of our system, starting from the dashboard to the server. I had used the guidelines for modelling a application that will be used in dashboard in way that it will not provide any access to unauthorised data. I had used many technologies from traditional to implemented modified method to get accurate results with less nodes and less bandwidth. As we are working on a real time network here speed of decision making should be high with accuracy. We are going to discuss about practical system setup.
Secured Cloud Based Health Care Framework with Blockchain
Authors: Gowthamani R , Sasi Kala Rani K , Renugadevi G , Prithvi Kannah K , Suriya Prakash D
Published: May 2021

PHRs are a new patient-centric model of health information exchange that is often outsourced and processed by third parties such as cloud providers. Third-party servers and unauthorised parties can have access to personal health information, causing widespread privacy concerns. Encrypting PHRs before outsourcing is a promising way to keep patients in charge of their PHRs. However, issues like privacy risks, scalability in key management, versatile access, and successful user revocation have remained the most important roadblocks to achieving fine-grained, cryptographically enforced data access control. We use attribute based encryption (ABE) techniques to encrypt each patient’s PHR file in order to achieve fine-grained and scalable data access control for PHRs. We concentrate on the multiple data owner situation, and separate users in the PHR scheme into multiple protection domains, which significantly reduces key management complexity for owners and users. Using multi-authority ABE, a high standard of patient privacy is maintained at the same time. Our framework also allows for dynamic changes to access policies or file attributes, as well as powerful emergency break-glass control and on-demand user/attribute revocation. The security, scalability, and efficiency of the system are demonstrated via comprehensive analytical and experimental results.
Driving Top Sliding Helmet with Better Air Ventilation Using Embedded System
Authors: Ramesh S M , Nithya Lekshmi A , Muthu Nandhini V , Mugesh Kumar R , Jose Maria Praveen J
Published: May 2021

A bike, otherwise called a motorbike or a bike, is the most well-known method of transportation because of its minimal effort. In any case, then again, this vehicle has been the most hazardous. The point of this task is to make a cap utilizing installed frameworks (explicitly, the Arduino microcontroller). It is hard to keep our loved ones refreshed nowadays. In the event that a bike rider is associated with an impact, find the head protector from far off. The vibration sensor is connected to the Arduino board in this venture, making the interaction much simpler. On the off chance that the rider has been in an accident, the vibration sensor detects it. If so, it imparts the sign sequentially to a GSM port utilizing Arduino and implanted C programming. The sensors are associated with the Arduino board’s info pins. On the off chance that the vibration esteem passes the boundary, a sign is shipped off the GSM port with the GPS position. Subsequently, the message is shipped off to their families and companions. This savvy cap has a cooling fan and glass cleaner.
Brain Tumor Detection and Classification Using Deep Learning Techniques based on MRI Images
Authors: Kokila B , Devadharshini M S , Anitha A , Abisheak Sankar S
Published: May 2021

The application of deep learning approaches in context to improve health diagnosis is providing impactful solutions. According to the World Health Organization (WHO), proper brain tumor diagnosis involves detection, brain tumor location identification, and classification of the tumor on the basis of malignancy, grade, and type. This experimental work in the diagnosis of brain tumors using Magnetic Resonance Imaging (MRI) involves detecting the tumor, classifying the tumor in terms of grade, type, and identification of tumor location. This method has experimented in terms of utilizing one model for classifying brain MRI on different classification tasks rather than an individual model for each classification task. The Convolutional Neural Network (CNN) based multi-task classification is equipped for the classification and detection of tumors. The identification of brain tumor location is also done using a CNN-based model by segmenting the brain tumor.
Crossover from static to dynamic Non-Condon effecton charge Transport in Organic Semiconductors
Authors: Navamani K , Shankar H , Senthilkumar K
Published: May 2021

The computed charge transport key parameters like, charge transfer integral, site energy and reorganization energy are used to study the hole and electron transport in dialkyl substituted thienothiophene caped benzobisthiazole (BDHTT-BBT) and methyl-substituted dicyanovinyl-capped quinquethiophene (DCV5T-Me) molecular crystals. The effect of structural fluctuation on charge transport in these molecules is analysed by Monte-Carlo simulations. To estimate the equilibrium speed during the charge transport process in these molecular solids, we have introduced the parameters such as, potential equilibrium rate and density flux rate. Here, the density flux rate is directly related with the drift force which facilitates the charge transfer along the consequential hopping sites. Our theoretical study reveals that the charge transfer up to the crossover point (or disorder drift time) is exponential, non-dispersive and it follows the static non-Condon effect. Beyond the disorder drift time, the charge transfer is partially exponential, dispersive and it follows the dynamic non-Condon principle. The expressions of density flux and diffusion shows their dependency on dynamic disorder and is in agreement with the Troisi’s model on diffusion limited by thermal disorder.
N719 Sensitized Solar Cell Features of Photoanodes Prepared with CDS Coated Hydrothermally Derived Anatase Tio2 Nanobelts
Authors: Wani Punam N. , Ray Abhra Pratip , Rokade Avinash V. , Jadkar Sandesh R. , Shelke Pandit N. , Chabukswar Vasant V. , More Pravin S. , Verma Alok J. , Khollam Yogesh B.
Published: May 2021

Herein, DSSC performance of the photo-anodes of (i) TiO2 powders derived from simple basic precipitation (SP) reaction (SP-TiO2-1), (ii) TiO2 powders derived from conventional hydrothermal reaction (CH-TiO2-2) and (iii) hydrothermally derived TiO2 coated with CdS by dip method (CdS-CH-TiO2-3) is reported. The XRD, UV-visible spectroscopy, FESEM and HRTEM techniques are used for the characterization of resultant films. The characterization studies indicated the crystallization of anatase TiO2 in all resultant films and CdS with hexagonal symmetry in case of CdS-CH-TiO2-3 film. The crystallization of spherical agglomerates having average size of 36.05 nm with nearly uniform size distribution is realized in case of SP-TiO2-1 by using FESEM. Further, HRTEM indicated the coating of CdS nanoparticles with average particle size of 15.86 nm on hydrothermally crystallized anatase TiO2 nanobelts of width 200 nm in case of CdS-CH-TiO2-3 films. The N719 sensitized solar cell properties these photoanodes obtained at 1000 W/m2 input power indicated the enhancement of photoconversion efficiency (η) by 95.83 % in case of CH-TiO2-2 (η = 1.41) as compared to SP-TiO2-1 (η = 0.72) photoanode whereas 34.75 % in case of CdS-CH-TiO2-3 (η = 1.90) as compared to CH-TiO2-2 photoanode. The improvement in photoconversion efficiency (η) in case of CH-TiO2-2 and CdS-CH-TiO2-3 can be attributed due to increase in charge transfer current density (J) and decrease in re-combination rate of electron at electrode-electrolyte/dye contact. This is due to blocking of back scattered electrons and effective electron-hole charge separation created by co-sensitizer CdS nanoparticles coated on TiO2 nanobelts.
Error analysis method of intelligent electricity meter based on improved BP neural network
Authors: Yuan Xiangyu , Zhang Penghe , Li Ning , Xu Jiasheng , Xiong Suqin
Published: May 2021

Many smart electricity meters work in different nonideal environments. The complexity of the working environment often leads to the difference between the measurement error of electricity meters and the ideal conditions. In this paper, BP neural network is improved to make it suitable for error analysis of intelligent electricity meter. By identifying, processing, analyzing and integrating a large number of experimental data, the error model of smart electricity meter is established. Then the internal relationship between various stress factors and the error of electricity meter is revealed from the data level. This method can accurately predict the error of electricity meters under certain conditions and lay a foundation for error correction of smart electricity meters in the future. In this paper, the realization process of the method is briefly described through simulation experiments, and the feasibility, rationality and reliability of the method are verified.
Development of Intelligent Electricity Data Acquisition Terminal Based on Non-intrusive Measurement Technology
Authors: Wang Zheyu , Pan Na , Zhen Qing , Sun Fei , Niu Haonan , Wang Shenjie
Published: May 2021

Energy monitoring is an important part of intelligent power consumption. In the current “Coal to Electricity” work, users can not analyze the energy consumption and reasonably control the heating time. This paper studies the non-invasive measurement technology, classifies the loads, calculates the power consumption proportion of the main electrical equipment through the load monitoring algorithm. This paper analyzes and selects modules such as voltage transformer, current transformer, A/D conversion module, power module, and main computing chip. An intelligent power data acquisition terminal based on non-invasive measurement technology is developed. It not only improves the heating body feeling of residents, but also saves electricity charges for users, improves the quality of life of residents, and improves the energy utilization efficiency of terminal equipment, thus promoting the realization of national energy conservation and emission reduction strategy.
Design of AC Voltage Tester Based on STM32
Authors: Huang Zhanpeng , Tang Ying , Li Qin
Published: May 2021

This design is a tester designed to accurately measure AC voltage signals. This design uses stm32 as the core processor, uses a voltage transformer to step down the original signal, and combines the MCP6292 operational amplifier to cleverly design a signal conditioning circuit so that the input voltage can meet the voltage measurement range of STM32. The analog signal is sampled at equal time intervals by the successive integration algorithm to obtain its effective value. Then through the built-in AD conversion module on the stm32 processor chip, the signal is converted to analog to digital. Finally, the converted value can be displayed on the screen through the LCD, and the measured data can be displayed on the upper computer terminal at the same time. Through the observation of the measured data, it can be found that the design can accurately measure the AC voltage. Compared with the traditional measurement method, the design can improve the measurement accuracy and improve the stability and power consumption.
Comprehensive quality evaluation method of smart meters based on AHP-Critic
Authors: Yuan Xiangyu , Zhang Penghe , Li Ning , Li Yike , Hou Yucheng , Xiong Suqin
Published: May 2021

The quality of smart meters directly affects the stability, security and economy of information gather system and power grid. This paper proposes a comprehensive quality evaluation method of smart meters based on AHP-Critic theory. In this method, firstly, the hierarchy of AHP is established to determine the contents of target layer, rule layer and scheme layer; secondly, the judgment matrix is constructed to calculate the hierarchical single ranking value and carry out consistency test; thirdly, the objective weight of rule layer is calculated by using Critic theory; finally, the comprehensive weight of rule layer is obtained by combining AHP and Critic, and the hierarchical total ranking of target layer to scheme layer is calculated. The experimental analysis takes three types of smart meters as evaluation objects, and the results effectively evaluate the quality of each meter.
Design of Multifunctional Electronic Album Based on STM32
Authors: Yang Jishi , Shi Shangyang , Tang Zongxuan
Published: May 2021

With the rapid development of technology and information, electronic photo albums have gradually entered everyone’s life and become increasingly important in daily life. This design uses STM32 as the core, designed a multifunctional electronic photo album. The functions of this electronic album are diverse. Its main function is to save multiple photo files in the SD card and periodically display them on the LCD, and to manually switch the pictures by pressing buttons or touch screen buttons. MCU (Micro Controller Unit) controls the operations of read and write of the SD card as a control module and drives the LCD display. The design also decodes the pictures through the software decoding algorithm on the MCU (such as BMP/JPG/JPEG/GIF), and uses the 18B20 chip to add a temperature display function.
Research on Charge and Discharge Strategy of Electric Vehicles Based on New Distribution Network Planning
Authors: Lu Min-An , Ren Tangzheng , Ji Kunhua , Wang Zimeng , Gu Dongxia , Peng Chen , Cao Zhijie
Published: May 2021

Based on the planning and distribution of new distribution network, the charging and discharging strategies of existing electric vehicles are studied. According to the number and distribution of existing charging piles, as well as the charging quantity of electric vehicles in each region, the travel law of electric vehicles is analyzed by using the travel chain theory and Monte Carlo algorithm; then, according to the user travel rules and the charging pile capacity of each area, each area is rated, and a hierarchical V2G distribution network is designed. Then, the power supply behavior of electric vehicles in V2G distribution network is analyzed, and the main power supply time period of electric vehicles in the improved V2G distribution network is obtained by using Monte Carlo algorithm; finally, the effectiveness of the proposed scheme is verified by an example, and the power supply situation of electric vehicles is classified.
An investigation on large capacity transmission technologies for UWOC systems
Authors: Zhang Xinyu
Published: May 2021

Underwater wireless optical communication system (UWOC) is promising for underwater inspection and exploration owing to its advantages of sufficient bandwidth, high reliability, small-scale antennas, low cost and low latency. With the increasing demand for a high-speed communication system, three feasible schemes to achieve large-capacity underwater optical transmission system with tens Gbps transmission rate over relatively long transmission distance are investigated in this paper. They are Orthogonal Frequency Division Multiplexing (OFDM) with Laser diodes (LD), Wavelength division multiplexing (WDM) transmission and Orbital Angular Momentum (OAM) transmission technologies. OFDM is widely applied in the UWOC field due to its resistance to inter-symbol interference (ISI) and high spectral efficiency. Combined with other technologies, OFDM can significantly improve the performance of the system and capacity. WDM and OAM are two potential multiplexing technologies for UWOC, and they can combine to achieve large-scale transmission.
LDPC code with Dynamically adjusted LLR under FSO turbulence channel
Authors: Cao Pin , Rao Qingmei , Yang Jian , Liu Xingxing
Published: May 2021

With the development and progress of space technology, more and more scholars begin to study FSO communication. The free-space optical communication takes the atmosphere as the medium, and the signals are susceptible to atmospheric turbulence. As an important channel code, LDPC code is applicable to almost all channels. In order to obtain better communication performance, we propose dynamically adjusted log-likelihood ratio (LLR) as the input of LDPC decoder in this paper. Compared with the traditional LLR input, the simulation results show that the LDPC code based on dynamically adjusted LLR has stronger anti-turbulence ability and better error performance under different atmospheric turbulence conditions. Coherent communication system with PM-QPSK modulation format under FSO turbulence channel is utilized in our work.
Analysis of the negative sequence interactive impact of traction power supply system on the urban power grid
Authors: Xu Lin , Wei Wei , Liu Chang , Ai Lei , Jin Dan , Liu Xueyuan , Yang Hua
Published: May 2021

The high-speed railway adopts single-phase power supply, which is asymmetric load for the three-phase power grid. Its high power and fluctuation characteristics will cause the negative sequence voltage problem of urban power grid. With the rapid development of high-speed railway in recent years, this problem is becoming more and more serious. Therefore, it is urgent to analyse the negative sequence of the urban power grid caused by TPSS (Traction Power Supply System). Usually, the mathematical and simulation model of TPSS is established to analyse the power quality of TPSS. However, the modelling process is usually simplified, and the load of TPSS has randomness and volatility, which makes the simulation results deviate from the actual results. Therefore, based on the measured data of TPSS loads and the method of dynamic power flow calculation, considering the factors of station number, common phase of traction transformer and train marshal, the negative sequence influence of TPSS on the whole urban power grid under different conditions is analysed in this paper. Finally, the feasibility of alternation commutation phase to weaken negative sequence voltage is verified.
Theoretical Analysis of Electric Heating Field and Insulation Accident of High Voltage AC Basin Insulator
Authors: Zhang Shiling
Published: May 2021

Basin insulator is widely used in GIS equipment. It is an important insulating part to realize electrical isolation between central conductor and grounding flange. In this paper, the insulation properties of the materials used for the basin insulator are analyzed experimentally, and the distribution of the electric field of the basin insulator is obtained through the electro-thermal coupling analysis process, and the relationship between the hottest spot temperature and the current carrying capacity is calculated. The heating curve of the basin insulator is obtained by using the theoretical model, and the basin insulation accident is analyzed by using the curve. Considering that the basin insulator is in the SF6 gas atmosphere for a long time, the local temperature rise caused by overheating fault of the basin insulator, and then the variation law of SF6 gas pressure and density caused by the overheating fault of the basin insulator are theoretically analyzed in this paper. Research shows: there is significant non-linear relationship between the insulation performance parameters of the basin body and the temperature. The eddy current field and harmonic field analysis method based on the finite element method can effectively calculate the heating of the center guide rod and the basin body under the power frequency condition. The maximum electric field intensity appears at the interface between the basin and the center conductor, with the value of 6.033kV/mm. The maximum temperature is near center conductor side of the basin, with value of 0.033kV/mm. When the current carrying capacity is higher than 1.5 times of the rated value, the thermal breakdown phenomenon of sudden temperature rise occurs. The calculation process of thermal electric coupling proposed in this paper provides way for verification of thermal electric performance of basin insulator design scheme, and also provides theoretical guidance for its on-site maintenance and accident analysis.
An Evaluation Framework for the Adjustable Capacity of Electric Vehicles’ Charge and Discharge Load Based on Capacity Reliability
Authors: Yang Xingang , Zhou Jian , Liu Jiayu , Du Yang , Wang Min , Yu Zixuan
Published: May 2021

With the development of new power systems with new energy as the main body, the number of electric vehicles is proliferating, and the demand for charging and discharging of electric vehicles is also increasing. However, the disordered charging and discharging load of electric vehicles also bring significant challenges to the power system’s safe and stable operation. To this end, a framework for evaluating the adjustable capacity of electric vehicle charging and discharging load based on capacity credibility is proposed. First, we simulate the charging and discharging load of electric vehicles based on the Sequential Monte Carlo Algorithm; then, we calculate the corresponding system’s reliability based on the expectation of insufficient power supply; finally, we use the dichotomy to calculate the related credible capacity and capacity credibility. The simulation results show that the framework can effectively evaluate electric vehicles’ adjustable capacity under different charging and discharging modes and scales and provide a theoretical basis for the safety assessment and effective dispatch of large-scale electric vehicle grid-connected distribution networks.
Research on high precision ADC test based on modular hardware
Authors: Xie Tang Yao , Wu Zeng Liang , Wang Yun , Yu Jian Guo
Published: May 2021

The design of digital systems in modern communication systems, network transmission systems, and computer multimedia systems has developed by leaps and bounds. The speed and accuracy of the interface circuit between analog and digital have become the key and bottleneck for the vigorous development of digital systems in the future. Correspondingly, the requirements for high-precision ADC performance testing technology and functional verification schemes are also getting higher and higher, and they have gradually been upgraded to an important technical obstacle that needs to be resolved, blocking the innovation of information technology in my country. This thesis first briefly introduces the static and dynamic test principles and techniques of high-precision ADC chips, summarizes the performance indicators of ADCs, and expounds the definitions of commonly used test parameters in more detail. Subsequently, modular equipment was used to build a high-performance test platform and a functional verification platform, and a software and hardware test platform was built with PXI modular equipment as the core to complete the system debugging and data processing of each part. The static parameters, Dynamic parameter indicators are measured and analyzed. The test verification system and research program of this program show that it meets the key index test and functional characteristic verification of high-precision ADC, and its test method has good flexibility, completeness, programmability, and versatility.
Capacity expansion planning of integrated energy system based on multi-energy coupling
Authors: Wang Yongli , Zhang Danyang , Tao Siyi , Ma Yuze , Zhu Guoliang , Wei Shanshan
Published: May 2021

This paper proposes a comprehensive energy expansion planning method based on multi-energy coupling, and establishes a mixed integer linear programming model with the goal of minimizing the sum of investment, operation, power shortage, and wind curtailment costs. The model can be used on the basis of ensuring computational efficiency. In the above, the uncertainty of wind power is accurately explored, and a two-stage planning and solving strategy based on the scenario method is established to ensure the efficiency and feasibility of the model solution. GAMS is used to optimize the calculation of the IEEE14-NGS14 example system, and the result of the optimal expansion plan proves the correctness and effectiveness of the method proposed in this paper.
Inverter Control Strategy Based on Improved Deadbeat Control and QPR Compound
Authors: Wang Zhihao , Sun Xianbo , Wu Yuhan , Yang Pengfei
Published: May 2021

In the process of photovoltaic power generation, it is particularly important to choose a suitable inverter control strategy. Aiming at problems such as the poor dynamic response of the traditional controller in the three-phase LCL grid-connected inverter, the current harmonic disturbance caused by the grid voltage distortion and the inability to achieve the optimal tracking of the AC quantity, this paper presented a method to control voltage by fuzzy PI, control current by discrete QPR and improved DBC. In the voltage outer loop, the fuzzy control principle was used to adjust the P and I parameters in real time, and its output was used as the reference value for the current inner loop. In the current inner loop, the repeated control improved deadbeat and discretized form of QPR were used for compound control. The simulation results show that the control strategy greatly improves the distortion of the grid-connected current, which can optimally track the AC volume, and makes the entire system have good stability and dynamic response capabilities.
Design of Multi-angle Motion Control System for The Servo
Authors: Han Song , Xu Linsen
Published: May 2021

The servo is mainly used in the control system where the angle is constantly changing. In order to realize the multi-angle motion control of the servo, the pulse width modulation (Pulse Width Modulation, PWM) is used as the mechanism and combined with Proteus software for simulation analysis. In the Proteus environment, the AT89C52 chip is used as the control core, and two different buttons are used to control the forward and reverse rotation of the servo. The rotation angle of the servo can be changed according to the number of button closures. In order to see the results of steering and angle changes of the servo more clearly, a combination of nixie tubes and light-emitting diodes (LEDs) is used to present it. The experimental simulation results show that the servo can meet the requirements to achieve multi-angle motion.
Research on Low Power Design Technology of HPLC
Authors: Zhou Chunliang , Hao Yan , Zhang Xiaohui , Li Zheng , Tang Xiaoke
Published: May 2021

Power line communication (PLC) is widely used in electric power Internet of Things (IoT). Its performance, including data rate and anti-interference ability, has made great breakthroughs from Narrowband PLC (NB PLC) to high-speed PLC (HPLC) in recent years. In the context of continuously improving functions, the power consumption of HPLC is gradually increasing, this is equivalent to increasing the line loss of power transmission, which has an adverse effect on the large-scale deployment of HPLC. This paper analyses the structure of HPLC chip and communication unit, mainly exploring the low power design technology from chip architecture design, frequency band selection, physical layer (PHY) design, and MAC layer process. Currently the latest HPLC chip has been developed successfully, and the corresponding communication unit have started large-scale applications, and lab test and field application results show the HPLC can well meet the power consumption requirements in electric power IoT.
Application of printing defects detection based on visual saliency
Authors: Zhang Fuqian , Li Yeli , Zeng Qingtao , Lu Likun
Published: May 2021

Visual saliency means that when humans observe a certain area, humans automatically process the area of interest and selectively ignore the uninterested area. This local area is called the saliency area. In recent years, people have introduced image processing and pattern recognition detection methods based on visual saliency to simulate the biological visual attention mechanism, and achieved good results. This paper focuses on the process of printed product defect detection, analyzes the application of visual saliency in printed product detection in recent years, summarizes and compares the advantages and disadvantages of various printed product detection methods, and discusses future development trends.
Evaluation of Air-conditioning Load Adjustability Based on Load Plasticity
Authors: Yang Xingang , Liu Jiayu , Zhou Jian , Du Yang , Wang Min , Chen Yuan
Published: May 2021

The air-conditioning load is an important part of the power system’s peak load, significantly impacting the power grid’s safe and stable operation. Therefore, it is necessary to evaluate the air-conditioning load’s adjustment potential, providing a reference for the power grid to formulate a reasonable dispatch plan, participate in the demand-side response, and alleviate the insufficient power-side regulation capacity caused by the large-scale access of intermittent renewable energy. This paper mainly obtains the air-conditioning load curve under different conditions through the characteristics of residents’ electricity usage behavior and analyzes the adjustable air-conditioning load capacity based on load plasticity.
Design of an anti-interference multi parameter sensor
Authors: Zhang Desheng , Zhang Ziliang , Li Qiwei
Published: May 2021

Aiming at the shortcomings of single function, easy to be affected by underground background gas and weak anti-interference of current mining environment parameter sensor, an environment multi parameter sensor is designed, which can simultaneously detect three parameters of methane, carbon monoxide and temperature in the environment. The interference of background gas is eliminated by optical identification method, and the reliability of temperature detection is realized by thermal resistance isolation module. At the same time, the filter circuit of the sensor is optimized, the interference suppression frequency band of the filter is expanded, the anti electromagnetic interference ability of the sensor is improved, and the problem of false alarm caused by the interference of large-scale frequency conversion equipment on the sensor is solved. The experimental results show that the sensor has strong anti-interference and high reliability.
Global Two-Stream Network for Temporal Action Proposal Generation
Authors: Lei Zhou , Wang Junzhou , Chen Shenbo , Niu Dawei
Published: May 2021

Temporal action detection is a practical but challenging task. The current temporal action detection task has major shortcomings in the accuracy of proposal generation. The extraction of long-range temporal information features and the fusion of two-stream features for the task of temporal action proposal generation are still a challenge that needs to be improved. In this paper, we propose the Global Two-Stream Network, which innovatively introduces the Non-Local operation to extract the global background information from the features of the generated candidate proposals. And the backbone network of two-streams is used for better utilization of two-stream features to generate temporal action proposal segments with precise bounds and high confidence.
An EAOW algorithm to optimize the throughput in ad-hoc network in emergency communication environment
Authors: Wang Yun , Wu ZengLiang , Xie TangYao , Yu JianGuo
Published: May 2021

For improving the throughput of wireless ad-hoc networks in emergency communication environments, this paper proposes an enhanced adaptive on-demand weighted clustering algorithm. The clustering algorithm is very important in heterogeneous wireless ad-hoc networks, but the widely used AOW algorithm has certain limitations. Combined with the emergency communication environment, this article first analyzes the importance of clustering algorithm in improving network throughput, and secondly introduces and analyzes the two shortcomings of the AOW algorithm. On this basis, an enhanced adaptive on-demand weighted clustering algorithm (EAOW) is proposed. In the EAOW algorithm, each weight factor is dimensionlessly processed, and the properties of the nodes are added to the heterogeneous network. The simulation results show that compared with the AOW algorithm, the EAOW algorithm has an obvious progress in the number of cluster heads and the network throughput.
Distributed transmission technology of node status in distribution network
Authors: Tan Kuo , Wu Hai , Hu Guo , Chen Hui
Published: May 2021

With the rapid development of distribution network automation and the construction of DC distribution network and AC / DC hybrid distribution network, the network operation mode is more flexible. If the distribution network wants to realize rapid load transfer, such as the connection of power supply, upstream and downstream fault isolation signals and other node states need to be quickly identified. At present, the node status identification of distribution automation is basically completed by the master station. However, the master station has poor real-time transmission of status information, which is generally in seconds or minutes, and can not meet the demand of real-time load transfer. In this paper, a distributed real-time transmission method of AC and DC distribution network node status is constructed for distribution automation system. Based on IEC61850 goose communication protocol, the real-time transmission of node status is realized in distribution automation terminal. In this method, the positive direction of each tie switch is defined, which is independent of power flow direction, and the tie switch is distinguished along the user-defined positive direction When multiple tie switches have the same upstream node, they are each other’s t nodes. Each tie switch needs to be equipped with a distribution automation terminal with goose communication capability. According to different control strategies, the distribution automation terminal can realize millisecond level node state transmission step by step. Node state can be divided into unconditional transmission state and conditional transmission state. The distributed real-time transmission technology of distribution network node state proposed in this paper has been successfully applied to Tongli integrated energy service The center and Suzhou medium and low voltage DC project lay the foundation for the realization of loop closing, loop breaking control, fast fault isolation and power transfer control strategies.
GPS Positioning Error Compensation Based on Kalman Filtering
Authors: Zhu Wenjiu , Hou Jie , Liu Zhengqiong , Ding Zhizhong
Published: May 2021

GPS is a widely used navigation signal in road traffic, bringing great convenience to transportation. However, when it is used in advanced driving assistance system (ADAS), the positioning accuracy cannot meet the needs of applications and the positioning error could reach to ten meters. In order to improve the positioning accuracy, the Kalman filtering and extended Kalman filtering are adopted. By appropriate kinematic modelling and actual data collection, the approach is shown to be effective to improve positioning accuracy in the sense of probability.
Intelligent mine vehicle terminal antenna based on LTCC technology
Authors: Zhu Kui , Liao Tongqing , Liu Yan
Published: May 2021

A new type of laminate antenna for smart mining vehicle terminal based on low temperature co-fired ceramic (LTCC) technology is proposed. This antenna adopts a simple structure on an LTCC substrate which consists of two layers of rectangular radiating patches with cut corners and a gap inserted in the middle. A laminate structure is designed to cause dual-frequency resonance in order to expand working bandwidth further. A good circular polarization performance can be obtained by adjusting the gap and cut corner size of the upper and lower radiation patches. The software HFSS is used for simulation design. It can be seen form simulation results that the impedance bandwidth(IBW)of the antenna with return loss less than-10dB is 102MHz, ranging from 2.507 to 2.609GHz, and the size of the antenna is 25 × 28×4.6 mm3.
PREDICTION OF MACHINE TOOL ROUGHNESS BASED ON ANN
Authors: Jiang Hanfeng
Published: May 2021

This paper presents a method based on ANN to predict the surface roughness of parts in machining process. The mathematical simulation software MATLAB is used to establish the ANN model, and it is found that the error between the predicted value and the actual data is very small, between 6 % and 15 %. This method can combine artificial neural network with machinery, which is instructive for future research. This method has low operation threshold, does not need too complex geometric operation, only need a lot of data can get good results. Therefore, the ANN method can be used to predict and control the surface roughness of the workpiece.
Research on 5G Key Technologies and Challenges
Authors: Chen Hangtong
Published: May 2021

Communication technology is an essential science and technology in today’s society. In this era of rapid development, 5G communication technology is more widely used, but it also faces many challenges and opportunities. This paper firstly combs the communication methods of different times and analyzes some bottlenecks of communication science. Then the key technologies of 5G communication are discussed including MIMO, sparse multiple access, full duplex. A detailed study of the problems faced by the 5G is carried out in this paper, and the problems of the frequency band, spectrum, system capacity, cost and terminal equipment are analyzed. It provides a reference and benchmark for further research of scholars in the future.
Integrated Waveform Design for Centralized MIMO-OFDM-BPSK-LFM Radar Communication
Authors: Ma Qicheng , Lu Jianbin , Liu Duo , Kong Yunfan
Published: May 2021

Because the signal amplitude corresponding to the phase of BPSK modulation is ±1, it’s autocorrelation function is shaped like a mountain peak. The fuzzy function of BPSK-LFM is multiplied by two parts, the left part is the fuzzy function of the standard LFM signal, and the right part is the autocorrelation function of the BPSK communication symbol, which won’t change with the random change of the communication symbol. Therefore, the fuzzy function performance of BPSK-LFM signal is better than that of LFM signal, but the transmission rate of communication is low. The shape of the fuzzy function will change with the change of random communication symbol in QPSK-LFM and 8PSK-LFM modulation. OFDM multi-carrier modulation can improve spectrum efficiency and communication transmission rate. MIMO technology can multiply channel capacity and spectrum efficiency without increasing signal bandwidth B. As a result, the integrated radar communication signal designed in this paper is a centralized MIMO-OFDM-BPSK-LFM signal. The distance between receiving antennas and transmitting antennas is very small in centralized MIMO radars, which is easy to place together.
Inverse synthetic aperture radar imaging method of complex maneuvering target based on instantaneous autocorrelation function – chirp Fourier transform
Authors: Liu Fengkai , Huang Darong , Li Yuxi , Zhang Hongliang , Han Ning
Published: May 2021

As the maneuverability of aerial targets increases, in the process of using traditional imaging algorithms to image complex maneuvering targets, the results obtained will inevitably appear defocus and blurring. In order to achieve high-resolution imaging of complex maneuvering targets, the inverse synthetic aperture radar (ISAR) imaging method for complex maneuvering targets based on instantaneous autocorrelation function-chirp Fourier transform (IAF-CFT) is proposed in this work. The method first uses IAF to reduce the order of echo, and then chirp Fourier Transform is used to estimate the echo parameters. Finally, the CLEAN technology is adopted to reconstruct the echo and get the result of ISAR imaging. The simulation results prove the effectiveness of this method.
Analysis of SSO in DFIG grid with series compensation
Authors: Wang Shujie , Wen Jun , Niu Yukun , Ma Limin
Published: May 2021

Doubly fed induction generator (DFIG) has become the most widely used type of wind power generation due to its superior technical performance. Series compensation technology is widely used in large-scale and long-distance wind power transmission system because of its high cost performance and significant improvement of transmission capacity. However, it may cause subsynchronous oscillation (SSO). This paper first introduces the definition and harm of subsynchronous oscillation, and then analyzes the advantages and disadvantages of series compensation technology, as well as the mechanism and suppression measures of subsynchronous oscillation of DFIG connected system through series compensation. Through modeling and simulation analysis, the suppression effect of additional subsynchronous damping controller (SSDC) on subsynchronous oscillation of DFIG control system is verified.
A Quantum MMAS Based Algorithm for Multicast Routing Problem
Authors: Li Yalong , Wei Wang , Jing Sun , Jie Wan
Published: May 2021

For solving the problem of multicast routing, ant colony algorithm (ACO) has insufficient optimization ability. The paper proposes a routing algorithm which combines quantum computing and max min ACO. The algorithm uses quantum bit probability amplitude to encode the link, and dynamically adjusts quantum revolving gate to update the quantum coding on the link, so as to meet the cost optimization under constraint conditions, combined with the maximum and minimum pheromone decision mechanism to find the optimal link path, effectively control the evolution speed and direction, and enhance the convergence performance of the algorithm. The simulation results show that the algorithm can effectively control the evolution speed and direction, and is better than ant colony algorithm in the optimization ability and convergence performance.
Visual odometer method based on improved ORB feature
Authors: Wang Xiaonan , Liu Feifei , Xue Yaxin
Published: May 2021

The original ORB feature detection algorithm has many problems, such as uneven distribution of feature points, many feature mismatches and poor robustness. A visual odometer method based on improved ORB is proposed. First of all, in order to solve the problem of low extraction efficiency and uneven distribution in the process of key points extraction, an improved quadtree algorithm is proposed which set an appropriate quadtree depth for the image pyramid layer to improve calculation efficiency and filter key points. Secondly, aiming at the problem of mismatching in the feature matching process of adjacent frames, the PROSAC algorithm improved based on RANSAC is used to sort all the sampling points according to the matching quality, and the matching point pairs with good quality are selected to improve the matching accuracy. The experimental results shows that the improved visual odometer method has higher accuracy and less calculation time than the original algorithm.
Design of a Semi-physical Simulation and Testing system for Space Robot Operating platform
Authors: Qiu Xin-An , Ma Dong-Tao , Wei Zhi-Ming , Zeng Zheng-Lin , Lei Zhi-Guang , Zhu Bo
Published: May 2021

In view of the importance and complexity of the control and execution tasks of the space robot, the development of a real test environment has the risks of high cost and long cycle. Therefore, a semi-physical simulation and testing system is designed for the space robot operating platform. The system is composed of a robotic arm console, a central control system, a fusion system, a position tracking system, etc., to realize the verification of the hardware electrical interface, software algorithm logic and task operation process of the robotic operating platform. Through the realization of 3D animation demonstration of the robot operation, motion tracking and other simulations, the semi-physical simulation and testing system has a higher visualization and a stronger sense of experience, and can simulate the complex operating conditions of the system on orbit. At present, the simulation and testing system has been successfully applied to the ground test of the space robot operating platform, and its reliability and simulation verification effect are better.
Detection method of robot grasp based on lightweight network
Authors: Zhang Luyuan , Piao Yan , Liu Yuheng
Published: May 2021

When the robot arm uses the suction cup to grasp the task, it is faced with an unstructured scene, and it is difficult to accurately calculate the grasping posture of the robot due to the irregular placement of the object and its irregular shape. To solve this problem, a grasping detection method of manipulator based on lightweight convolutional neural network was proposed. Firstly, the Mobile Net-YOLOV4 algorithm based on lightweight convolutional neural network was used to detect the target object in the image, and the classification and location information of the target were obtained. Then according to the final detection results of the image threshold segmentation, the anchor point is corrected, and finally the corrected positioning result is obtained. The grasping experiment was carried out on the Probot anno manipulator platform. The experimental results show that, compared with other image processing methods, the proposed method can realize fast detection and location of irregular target objects, and has better robustness for the diversity of object morphology and environment.
Personnel precise positioning system of coal mine underground based on UWB
Authors: Chen Wei
Published: May 2021

For short positioning distance, low positioning accuracy and location data jumping of personnel positioning system of coal mine based on Bluetooth, WiFi, RFID, Zigbee and so on, a precise positioning system was proposed which is based on UWB technology. The principle of UWB positioning technology and symmetrical two-way two-way ranging (SDS-TWR) algorithm is analyzed and applied to the system. According to the characteristics of coal mine roadway, a single card reading substation can be used to independently network and realize one-dimensional accurate positioning of positioning card. The experimental results show that the UWB technology meets the positioning requirements of the system, the algorithm is flexible, the refresh rate is fast, the positioning error is not more than 0.3m, and the coverage reaches 400m.