bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.