bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning methods to analyse and detect the presence of COVID-19 using X-rays
Authors: Selvy P Tamije , Sai Kumar S K Lalith , Thirumalraj R , Vimal G 
Published: May 2021

Abstract
The COVID-19 was discovered in December 2019 in China’s Wuhan. and resulted in a major outbreak in several cities in China and spread globally, continuing to have a devastating influence on the world wide population’s health and well-being. The virus affects the respiratory system and it is transmitted through close contact of individuals. Efficient screening of infected patients is a crucial step in standing up to COVID-19. As the virus affects the respiratory system, images of chest X-rays are analyzed using deep learning techniques for early detection of COVID-19. The existing deep learning models identify COVID-19 with an accuracy of 79%. The proposed model focuses on detecting COVID-19 in an effective manner, the model includes the following phases: Preprocessing the image using data augmentation and infusing the trained model with different Convolutional Neural Network architectures. The proposed model uses Residual Neural Network architecture (ResNet-152v2), NASNetLarge, and Visual Geometry Group architecture (VGG16), a Convolutional Neural Network (CNN) which are faster when compared to the already existing systems and have an accuracy of 87.50%, 87.50% and 82% respectively.
Web Intelligence Based Flexi Vehicle Insurance Application
Authors: Selvy P Tamije , Akash S , Gobalakrishnasridhar T , Hariharan T 
Published: May 2021

Abstract
Computerization is currently a key element in everybody’s life – individuals, businesses, travel sectors, medical services and many more. As the world is pushing ahead, the web and innovation have been the implications that these areas use to contact individuals and get benefit from the brand or administration they advance. The private protection area is perceived as one of the quickest developing ventures. This quick development has powered unfathomable changes over the previous decade. These days, most valuable resource protective items exist, such as homes, vehicles, gems, life, etc. All insurance agencies are at the forefront in taking leading tasks, measures and numerical models in order to increase benefits by adapting customer claims. Customary techniques based only on human-in-the-loop models are extremely tedious and incorrect. In this paper we are establishing a safe and computerised protection framework that reduces human communication, ensures safeguards, alerts and illuminates hazardous customers, distinguishes misleading cases and reduces money-related unhappiness. The proposed Framework for Vehicle Protection Strategies is a single-page online application that aims to establish an entirely practical, free framework to monitor vehicle insurance records. It is designed to provide such insurance agencies with an online stage for exact preparation, coordinated information, production recovery and record capacity.
A survey on intrusion detection system and prerequisite demands in IoT networks
Authors: Aravamudhan Parthiban , Kanimozhi T 
Published: May 2021

Abstract
Over the past few years the development in the mobile industry and development of internet, network for all, 4G, 5G etc. enabled the ordinary people as well as the elite people to depend upon mobile networks for regular business developments, entertainment, medical and educational needs. Almost all areas of development depend on the so called improvement of the mobile network. As the advantages and flexibility increases, the consumers entering by new registration increase widely and service requirement of existing consumers increase massively. It is mandatory to provide high level of security and dual privacy protection to the users sharing the large set of information through the cloud. The massive crowd sensing is important for any kind of network security system to ensure the detection of any miscellaneous activity entering the network grid. The study is focused on gathering various literature evidences on demand for intrusion detection system, analyzing the pitfalls in current models and creating an idea that would be helpful for us to proceed further with the research on intrusion detection system implementations and innovating a novel methodology that improvise from the present system. The future enhancement and interpretations on solutions would be discussed too.
Survey on video compression techniques for efficient transmission
Authors: Sathiya Sivam B , Sumithra M G , Sreelatha P 
Published: May 2021

Abstract
Nowadays, due to the rapid growth of information technology, data representation has to be performed in several ways. Data file includes text, images, audio, video, and animations, which are large and require lots of space in the hard disk. The Video file consists of sequence of images to be framed in single entity. Image Compression is the effective way to reduce the storage space and speedup the transmission. The Video transmission incurs higher bandwidth requirements. It is necessary to transfer the high quality images to the user devices without loss and latency. This gives encouragement to the researchers to find acceptable compression algorithms. Even though many compression schemes exist, there will be the need for fast compression algorithms which produce acceptable quality images or video with minimum size. This paper presents a survey of various research articles about the image or video compression techniques.
Distributed Trust Evaluation protocol with Privacy Protection for Inter-cloud
Authors: Rajkumar M , Aransha R , Deepa M , Harini P , Iswarya B 
Published: May 2021

AbstractInter-cloud attempts to energize resource splitting between fogs. To help cloud, a trust appraisal structure in the middle of fogs and customers mandatory. For trust growth, standard shows are customarily established on a bound together designing concentrate on solitary connection. For cloud, the status is uncommonly remarkable, scattered along with associations can single course or multiple (for example. fogs offer sorts of help to everyone). Paper presents a scattered trust development show along with security prevent for Inter-cloud. The latest responsibilities and different features are summarized under. In any case, input is gotten by homomorphism encryption with evident secret sharing. Next, oblige the exceptional thought Inter-cloud, trust growth can be driven in scattered manner is valuable regardless, As a segment of the social occasions are disengaged. Third, support revamp trust appraisal, an imaginative instrument is familiar to store contribution, so much, all might arranged deftly while getting analysis assurance. The show has been exhibited reliant on an appropriate security model. Re-enactments have been performed to show ampleness of the show. The results show the regardless, although major piece of the fogs are noxious or disengaged, by picking suitable operational limits the show can regardless maintain amazing trust appraisal and, security insurance. In distributed storage, remote knowledge trustworthiness testing is important. It can lead customers to double-check if their revaluated information is still unblemished without having to download the entire file. Customers may be required to store data on several Cloud Servers in some application scenarios.
Research on the Whole Model Splicing Problem of the Provincial and Regional Power Grid Based on Dispatching and Control Cloud
Authors: Pan Na , Wang Zheyu , Wang Shenjie , Niu Haonan , Wang Zi , Xu Zhicheng 
Published: May 2021

Abstract
With the increasing expansion of power grid scale and the increasing complexity of power grid structure, the integration of power network is becoming more and more obvious. The existing real-time model of power network can no longer meet the requirements of network analysis and calculation. In order to improve the accuracy of online analysis and application function of power grid, a whole model splicing method of the provincial and regional power grid is proposed, and the modeling method of boundary equipment, boundary splicing method and processing of boundary T connection lines are studied. By applying the whole model splicing scheme on Tianjin Power Grid, and validating the result, the method can improve the accuracy and rationality of the result for whole model splicing of the provincial and regional power grid, at the same time meet the requirements of various network analysis and calculation.
Study on Lightning inrush overvoltage of 500 kV GIL-GIS Hydropower Station
Authors: Ren Hongtao , Wu Yaofu 
Published: May 2021

Abstract
Aiming at the overvoltage of the equipment in GIL-GIS system when the tower outside the station strikes back, a calculation model based on EMTP program is proposed to analyze the influence of GIL distance length, lightning tower position and tower name on the lightning inrush overvoltage. Combined with the calculation results, it shows that the lightning inrush overvoltage level varies with GIL distance length, lightning tower position and tower name The variation law of tower nominal height can provide reference for overvoltage calculation and electromagnetic disturbance source calculation of hydropower plant.
Design and implementation of OBU terminal for Vehicle Ad-hoc Network
Authors: Wu Yan , Wang Pengkun , Sun Chao 
Published: May 2021

Abstract
In order to solve the traffic problems and the needs of users’ safe driving, according to the requirements of the function of the Vehicle Ad-hoc Network (VANET), this paper designs and implements the application function of VANET based on the onboard unit (OBU) terminal in Android system. The design selects ARM development board as OBU terminal and uses Android operating system to design UI interface according to functional modules to interact with users. The key issues and technologies are designed and improved, which implement the security application based on security message processing and expand the non-security application, so as to achieve the purpose of assisting users to drive safely.
Super Real Time Electromechanical Electromagnetic Hybrid Simulation Technology Architecture for Large AC / DC Power Grid
Authors: Weijie Zheng , Dechao Xu , Xing Zhang , Xujiang Chen , Jianfeng Yan , Hongwei Tang , Qing Mu , Min Liu , Feng Wang 
Published: May 2021

Abstract
This paper proposes a parallel algorithm of the electromagnetic electromechanical group decoupling based on the electromechanical electromagnetic dual master control, including the hybrid simulation architecture of the group decoupling including the electromechanical transient interface, the data transmission of the electromechanical electromagnetic hybrid simulation, and the corresponding network splitting method, the generation scheme of the electromagnetic subnet group and the master control scheme. The new algorithm can greatly improve the parallel computing efficiency of hybrid simulation and meet the requirements of accuracy. By the realization of the parallel algorithm of the electromagnetic electromechanical group decoupling based on the electromagnetic master control, the hybrid simulation performance of ADPSS is improved, which can support the hybrid simulation of large-scale AC and DC power grid.
Calculation and Analysis of Heat Field of Large Capacity Epoxy Pouring Dry-type Transformer Based on Fluid-solid Coupling
Authors: Wang Shuo , Xuan Yingying , Wu Peng , Yuan Bo , Zhang Shuai , Li Yan 
Published: May 2021

Abstract
Dry-type transformer had the advantages of simple structure, easy maintenance, small environmental pollution, safe and reliable operation. It was widely used in power system distribution network. With the increase of urban power load year by year, large capacity dry type transformer had been highly concerned by the power industry. In this paper, the fluid-solid coupling calculation equation of a large capacity epoxy casting dry-type transformer was expounded, and a two-dimensional axisymmetric model of the transformer was established. The finite element method was used to calculate the temperature distribution and hot spot temperature with different wind speed and load rate. The results showed that when the wind speed at the transformer inlet was 0.7m/s and the load exceeded 120%, the temperature rise of the low-voltage winding reached 136.41°C, which had exceeded the temperature limit of the material. Therefore, the ventilation volume needed to be increased and the running time needed to be reduced. The research results could provide technical support for the design and safe operation of large capacity epoxy casting dry type transformer.
The Influence of Grid-connected Distributed Generation on the Power Supply Reliability of Distribution Network
Authors: Niu Haonan , Wang Shenjie , Pan Na , Peng Zhichao , Liu Xing 
Published: May 2021

Abstract
This paper analyzes the typical distribution network structure and the operating characteristics of distributed generation (DG). By analyzing the impact of grid-connected DG on equipment such as reclosing and spare power automatic switching, we calculate the power supply reliability indexs after the DG is connected to the grid under various operation modes such as reclosing, spare power automatic switching, de-sequencing distributed energy and islanding. Finally, the results of the reliability indexs can provide the theory and data for planning and improving the operating mode of grid-connected DG.
Vehicle and Pedestrian Detection Based on Improved YOLOv4-tiny Model
Authors: Ma Lingzhe , Chen Yu , Zhang Jilin 
Published: May 2021

Abstract
Target detection is the basic technology of automatic driving system. Deep learning has gradually become the mainstream target detection algorithm because of its powerful feature extraction ability and adaptive ability. How to ensure accuracy and speed is a great challenge in the field of target detection. In order to solve the problems of high miss detection rate of small target and difficult to realize embedded real-time detection in the process of complex environment detection by deep learning method, this paper adds two auxiliary remaining network blocks in the backbone network. So that the backbone network can extract the global and local features of the detected object, and carry out feature extraction based on the feature pyramid network Fusion, adding a scale to form a three scale prediction, to improve the problem of poor detection accuracy of yolov4-tiny network. The simulation results show that: Compared with yolov4-tiny, the accuracy of the improved network structure is improved by 3.3%, and the detection speed is 251 fps, which ensures the requirements of real-time detection. This algorithm has good detection effect in the case of lack of illumination and target occlusion, and its detection accuracy on the mixed data set is better than that of the contrast algorithm, which meets the real-time detection conditions and is suitable for deployment on the embedded system carried by the car.
Research on Key Technology of Full Duplex Cognitive Radio Network
Authors: Jiang Haibin , Yu Zhiyong , Yang Jian 
Published: May 2021

Abstract
In traditional half duplex cognitive radio networks, secondary users can only sense the spectrum or transmit at a given time. This kind of half duplex network limits the throughput of users, because the user unit can’t transmit data in spectrum sensing. However, with the development of self-interference suppression (SIS) technology, full duplex cognitive radio network allows spectrum sensing and data transmission on a given channel at the same time. Compared with traditional half duplex network, full duplex network improves throughput and reduces conflicts. In order to explore the future development direction of spectrum sensing technology, in the context of full duplex cognitive radio, a comprehensive study of radio network is carried out, including key technologies, current challenges and future research directions.
Multi-feed System Partitioning Method Based on N-1 Preconceived Fault Set and Local Expansion Theory
Authors: Ma Limin , Wen Jun , Wang Shujie , Niu Yukun 
Published: May 2021

Abstract
In view of the fact that the AC system with multiple LCC-HVDC feeds is prone to simultaneous commutation failure, this paper proposes the scheme of grid division for the multiple feed system to isolate the coupling between multiple HVDC and reduce the risk of occurring simultaneous commutation failure. First, N-1 scan is performed on the multi-feed system to find the set of lines that can cause simultaneous commutation failure of multiple HVDC. The line with high line load rate is removed from the line set. Then, on the basis of local expansion theory, the nodes in the system are aggregated to form the initial partition. In this process, the calculation method of voltage/reactive sensitivity matrix considering PV node and LCC-HVDC is firstly given; moreover, the corresponding indexes were calculated by the node aggregation function and the partition fitness function. Finally, the results of the partition are modified by considering the circuit set and the partition short circuit ratio, and the flow chart of the partition scheme is given. The partitioning process is validated with an IEEE 39-node system as an example. The results show that the partitioning method is reasonable and solves the problem of the failure of commutation effectively.
Research on Evaluation Method for Expressway E&M System Operation State Based on AHP-FCE
Authors: Wu Shangdong , Yang Meng 
Published: May 2021

Abstract
Based on an AHP-FCE model, an evaluation method for expressway E&M system operation state is proposed. The evaluation system of E&M system operation state is constructed, and three evaluation indexes, i.e. functional serviceability rate, timely repair rate and replacement repair rate, are extracted by using equipment maintenance data; the weight division of each evaluation index is completed in conjunction with AHP algorithm; an FCE model of expressway E&M system operation state is established, and the operation state evaluation is achieved finally. The analysis results show that the system state evaluation method proposed in this paper can gain an insight into the operation state of E&M system, find out systematic potential safety hazards in time, and provide theoretical support for highway maintenance work.
An Improved MPCC Method Based on the Predictive Delay Error Analysis for PMSM Speed Control System
Authors: Tang Siyuan , Wang Ying 
Published: May 2021

Abstract
Taking permanent magnet synchronous motor (PMSM) as the research object, the model predictive current control strategy (MPCC) was studied. In order to solve the shortcoming that the MPCC strategy depends on the motor prediction model, reduce the prediction error caused by MPCC and enhance the prediction accuracy of the system, an improved MPCC model was constructed by a two-step prediction method. At the same time, compared with the system based on Field-Oriented Control (FOC) and MPCC control and the system based on improved MPCC control, the proposed control strategy can make the PMSM run stably and efficiently, and reduce the torque ripple and the THD value of the three-phase stator resistance current. The simulation results show that the motor system controlled by the method can run stably, and then the correctness and effectiveness of the strategy are verified.
Bi-level Coordinated Optimal Dispatching Method of Power System Considering Renewable Energy Uncertainty and Flexible Load Aggregators
Authors: Chen Yihua , Sun Qianhao , Li Yunhao , Du Zeyu , Guo Bin , Zhang Yao 
Published: May 2021

Abstract
The increase of renewable energy penetration and the diversity of flexible loads in the customer side have posed new challenges to secure and economic dispatching of power system. Based on the concept of load aggregator (LA), we propose a bi-level optimal dispatching model for power system. In order to guarantee the security of power system operation, we propose a bi-level coordinated dispatching method to consider the aggregation of various flexible loads and the uncertainty of renewable energy generation, which can realize efficient and economic dispatch of power system. Numerical results in one test system demonstrate that our proposed dispatching model can reduce the total dispatch cost and LA’s electricity bill simultaneously.
Research and Design of Broadband Power Amplifier with Feedback Structure Based on ADS
Authors: Guo Jiangqi , Yu Jianguo 
Published: May 2021

Abstract
The power amplifier based on the CGH40010 power tube design often needs to improve the circuit structure to ensure the stability due to its poor stability. However, this method often causes problems such as reduced amplifier gain and reduced efficiency. After the design of the input matching circuit and the output matching circuit, it still cannot be effectively improved. This paper proposes a power amplifier design scheme with a feedback structure, which improves the gain and efficiency, and the available bandwidth is effectively broadened.
Design of High Frequency Digital Transceiver in Coastal Radio Station and Shipborne
Authors: Yi Zhongli , Wang Fuzhai , Wang Shanshan , Zhao Jinyu 
Published: May 2021

Abstract
A novel high frequency digital transceiver scheme using audio port as signal modulation and demodulation interface is proposed. The system adding human-computer interaction module, business service module, base station modulation and demodulation module, shipboard modulation and demodulation module, and using advanced modern digital signal processing algorithm to complete signal modulation and demodulation in digital domain, which overcomes the anti-interference ability of analog demodulation circuit poor power, low spectrum utilization, poor user experience and other shortcomings. The simulation results show that when SNR of the baseband is 4.9dB, the BER of the system can reach about 10−4, the design scheme can meet the ITU-R M.2058-0 recommendation and the actual communication requirements.
Segmentation and Reconstruction of Abdominal Multi-tissues Based on Multiple Algorithms and Networks
Authors: Xia Dong , Xu Xu , Zhang Yi 
Published: May 2021

Abstract
Liver cancer has become a major disease that seriously endangers people’s lives and health. In clinical practice, it is necessary to segment the liver, lesions, and other normal organs and tissues in abdominal CT images accurately. However, segmentation of abdominal organs and tissues is a critical and time-consuming process in radiotherapy. Therefore, it is very important to use fully automated and high-precision methods to segment and reconstruct abdominal multi-tissues. This article integrates the automatic recognition process and main segmentation algorithms of skin, bones, intrahepatic blood vessels, liver and lesions. In addition, it supports human-computer interaction to modify the segmentation results, as well as the reconstruction of 3D surface, the measurement of size and volume, and other functions. The threshold segmentation and morphological operations are used in segmentation and reconstruction of skin and bones. And the fuzzy C-means algorithm is utilized in the segmentation and reconstruction of intrahepatic blood vessels. As for the segmentation and reconstruction of liver and lesions, we use convolutional neural network named V-net to accomplish. The experimental results show that the Dice coefficients of the skin and bones segmentation were 98.4% and 92.3%, respectively. The intrahepatic blood vessel segmentation was 78.9%. And the liver and lesions segmentation were 95.4% and 80.4%, respectively. The ensemble algorithm proposed in this paper demonstrated its potential clinical utility in terms of accuracy and time-efficiency.