bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical simulation and experiment of dimple for flexible clamp multi-point stretch forming of spherical part
Authors: Peng Heli , Liu Haijian , Chen Xu , Han Xing 
Published: December 2020

Abstract
The structural character of flexible clamp stretch forming machine is introduced. The real stress and strain curve of Aluminium alloy 2024-O is tested by uniaxial tensile. Numerical simulation of dimple for spherical part with flexible clamp multi-point stretch forming (FCMPSF) is carried out by ABAQUS, and the generated result of dimple is elaborated. The effects of transitional length, sheet thickness and spherical radius on dimple are investigated by lots of numerical simulations, and the thickness strain of spherical part along the objective line ef with different forming suitation is extracted. Then polyurethane sheet is chosen as elastic cushion to depress dimple, and series of numerical simulations are put forward for spherical part of FCMPSF with different thicknesses of polyurethane sheet. Finally, FCMPSF experiment is done and forming precision is measured. Consequently, the spherical part has good forming shape and surface accuracy, which illustrates that the FCMPSF technology is feasible and practional to forming three-dimensional surface part.
Method of simulation modeling and computing analysis for tube bending
Authors: Hong Liu , Gao Juntao , Chen Haojie , Hu Wenhao 
Published: December 2020

Abstract
Simulation of thin-walled tube bending process not only results in a large amount of calculation due to its high nonlinearity, but also leads to its non-uniqueness in simulation modeling because of the particularity and diversity of the mandrel structure. The paper proposes a method for the simulation analysis of molding process of tube bends, which combines coordinate translation with mass scaling and is called the equivalent method, and gives out super-elastic mandrel model describing working state of mandrel more reasonable. It deduces the basic formula of the equivalent method which takes transformation of time coordinate, meanwhile keeps spatial coordinates not transform, and controls the calculation amount by controlling the time of banding molding and time step of recursive solving. It validates correctness and validity of the equivalent method and the mandrel model, which shows that the super-elastic mandrel models could avoid blindness, and the equivalent method greatly raises the simulation efficiency, and has enough analysis precision.
Determination of Methimazole by Potassium Permanganate Spectrophotometry
Authors: Tu Changqing , Wen Xinrong 
Published: December 2020

Abstract
In H2SO4 medium, oxidation-reduction reaction can be happened between methimazole and potassium permanganate, which results in the fading of potassium permanganate solution. The Beer’s law is obeyed between the concentration of methimazoletea and the decrease value of absorbance, and the content of methimazoletea can be indirectly measured by measuring the decrease value of absorbance. A new method for the determination of methimazoletea by potassium permanganate spectrophotometry is established. The optimum conditions for the determination of methimazoletea is confirmed. The maximum absorption wavelength of the discoloring system is 525 nm. In the range of 0.001600-0.009600 mg/mL, the linear regression equation is ΔA=-0.0061+34.518C (mg/mL), and the linear correlation coefficient of 0.9992. This method is applied to the determination of methimazole in drugs, and the results are satisfactory.
A Study on rational well spacing for Producing Evaluation and Solution Scheme of the Water Injection in Northern Daqing Blocks
Authors: Zhang Yanyan 
Published: December 2020

Abstract
The inter of daqing oil field has already entered the period of high water cut,with the deepening of oil and gas field development technology,the current water flooding development objects in the high and moderate permeableness layers gradually transformed into poor thin layers, such reservoirs with the complicated structure have poor development benefits, but the remaining reserves of several million tons of the demonstrated reserves mainly exist in low permeability poor thin layers. The development well pattern deployment of thin and poor pay zones still have the problems of the imperfectly injection-prodction relation, poor water flooding wells driving, and low producing degree,and it is still difficult to employ the reservoirs with poor development. In order to improve the effect of oil development,and enhance the producing degree of low poor thin reservoirs with permeability,so that it can establish the effective driving energy system,the research on effective producing limitation and technology policy limitation of thin and poor pay zones need to strengthen. Through a lot of research abroad effective producing and rational development technology policy limitation research results on the thin and poor pay zones, based on the basis of previous word, the paper study the microscopic pore structure of thin and poor layers, and compares with the thick reservoirs, while carrying out the research on effective producing limitation and development technology policy limitation of thin and poor layers. On the basis of the standard model fitting the paper analyzed the plane and vertical distribution characteristics of the remaining and also discussed the rational well spacing for producing evaluation.
A study on the Mechanical Stability of Strings of Thermal Production Wells in Steam Injection
Authors: Shao Bing , Wang Xiaomei , Yan Yifei , Yan Xiangzhen 
Published: December 2020

Abstract
Considering the complex conditions in the thermal production wells with steam injection and the stress variation of the casing strings during the operation which is not fully taken into account in strings design, a study on mechanical stability of strings with complex constraints in well completion is conducted. A stress computing model for the strings under the complex constraints is deduced and built. Making the real horizontal-thermal well B05-P2 as an example, the effects from the intricate conditions including well structure and high temperature steam on the stability of the pipe string are studied.
R&D Investment Strategies for New Energy Vehicles Firm Based on Consumers’ Preference and Government Subsidy
Authors: Wang Y , Meng W D , Li Y Y , Huang B , Wang C Y 
Published: December 2020

Abstract
Under the assumption that the emergence and expansion of the new energy vehicles market is due to consumer groups entering market sequentially, and the size and characteristics of each consumer group are different, this paper proposes the R&D investment model of a new energy vehicles firm based on product subsidy. The firm’s optimal R&D investment and pricing strategies are given through theoretic analysis. It is found that when the initial value of the firm’s marginal profits is positive, the optimal R&D investment strategy is to make its marginal profits equal zero if its R&D funds is sufficient enough, otherwise, the optimal R&D investment strategy is its whole R&D funds. And when the initial value of the firm’s marginal profits is non-positive, its optimal R&D investment strategy is zero. It is also found that there is a crowding-in effect of product subsidy on the firm’s R&D investment under two conditions: only if the unit product subsidy is large enough when the firm doesn’t conduct R&D without subsidy, and if only the firm has surplus R&D funds when the firm has conducted R&D without subsidy.
China’s Development on New Energy Vehicle Battery Industry: Based on Market and Bibliometrics
Authors: Zhang Lei , Liu Yingqi , Pang Beibei 
Published: December 2020

Abstract
The continuous deterioration of environmental problems and the energy crisis has prompted countries and regions to increase research and development and support for new energy vehicles (NEV). NEV’s battery as the core components play an essential role in the cruising range and manufacturing cost in terms of energy, specific power, new materials, and battery safety. In order to know the development of NEV’s batteries, as well as research hotspots and technology trends, this paper analyses the market performance and technology trend of China NEV’s battery industry. Firstly, this paper analyses the policy and market, then clarify the macro environment of China’s NEV battery industry development. Secondly, this paper uses CITESPACE software to analyze the scientific knowledge of the literature data, such as research hotspots, research institutions, and technology development trends. In the end, this paper proposes policy recommendations for the future development of China’s NEV’s battery industry from the perspectives of technology, market, and industrial chain.
Characterization of Electrical Quantities of a Grape Dye-Sensitized Solar Cell
Authors: See S C , Mercado M M , Corpuz J Z , Balbin J , Chua E 
Published: December 2020

Abstract
A significant solution to the current global energy demand worldwide is the advancement of renewable energy, and one of these major renewable resources is the conversion of solar energy to electricity that is made possible by solar cells. In this study, the electrical quantities of a dye-sensitized solar cell were characterized to determine its efficiency, which is usually the main basis for this prototype. The researchers used a grape dye-sensitized solar cell composed of conductive glass as the photo-electrode, titanium dioxide (TiO2) sensitized with grape anthocyanin ethanol-based dye, KI3 electrolyte, and conductive glass with carbon as the counter-electrode. In characterizing the electrical quantities, the room temperature, lux level, and cell size were held constant at 23°C, 1500 lux, and 2.032cm x 1.524cm as controlled testing parameters. The researchers determined the voltage (Voc) and current (Isc) by using open and short circuit tests. The measured values were: 0.43 V; 0.40 V; 0.40 V; 0.45 V; 0.41 V and 41 µA; 38 µA; 35µA; 41µA; 39µA respectively. The computed efficiency of the cells were 1.22%, 1.05%, 0.94%, 1.29%, and 1.11% respectively.
Using High Temperature Gas-Cooled Reactor for Seawater Desalination: Challenges and Opportunities
Authors: Al-Saud Mishari , Chao Fang 
Published: December 2020

Abstract
Freshwater availability is a global concern. Thus seawater desalination became a variable solution to that issue. However, most desalination plants are powered by fossil-based energy. That fact drove many countries to find an alternative solution in which nuclear desalination became a consideration for many countries like Japan and Saudi Arabia. Different approaches were considered regarding nuclear-desalination, one of which using a High-Temperature Gas-Cooled Reactor (HTR) as an energy source. This paper discusses the challenges and opportunities of using HTR as an energy source for commercial-scale desalination. The findings show the most critical challenges and opportunities related to the technological, economic, social, environmental, regulatory, and infrastructural aspects of HTR-Desalination.
Study of Climate Effect on the Atmospheric Conversion in Coal Mine: A Case Study of Lignite Coal Mine in Thailand
Authors: Inta Thanyalak , Somprasong Komsoon , Huttagosol Panlop 
Published: December 2020

Abstract
This study aimed to simulate the climate effect on the atmospheric conversion in an open pit coal mine during 2016. Climate data, including wind speed, wind direction, temperature, relative humidity, surface pressure, ceiling height and cloud cover, was collected in order to determine the daily mixing height over the pit area. The model was simulated, using CALMET metrological diagnostic model with 50 x 50 m. resolution grid scale. In this study, the mixing height 225 km2of the operating area in the mine was simulated based on 50x50 resolution). Three meteorological monitoring stations were set up, and upper air data were simulated by WRF model. The simulation assigned 11 vertical layers ranging from 0 to 4,000 m. According to the results of this study, the lowest of mixing height could be detected in the winter season with a downward trend starting from 07.00 PM to 07.00 AM. Conversely, the mixing height varied and gradually increased during daytime, depending on the temperature in that period. The low mixing height indicated air blockage could reduce pollution’s circulation rate in the pit area. This directly affected the health of the people who worked in this mine.
A new approach to the criterion of the liquid-glass transition
Authors: Sanditov D S , Sangadiev S Sh , Darmaev M V 
Published: December 2020

Abstract
A liquid transforms into a frozen glassy state when its cooling rate q = (dT/dt) reaches a certain fraction of Cg of the characteristic cooling rate qg = (Tg/τg), which is closely related to the structure relaxation time τg at the glass transition temperature Tg.
Determination of nanoscale layer thickness adsorbed water liquid by acoustoelectric methods
Authors: Simakov I G , Gulgenov Ch Zh , Bazarova S B 
Published: December 2020

Abstract
It is shown to determine the thickness of the adsorbed liquid layer, it is proposed to use surface acoustic waves (SAW). The relative change in the SAW velocity is proportional to the thickness of the adsorption layer. The constant of proportionality is depending on the acoustic parameters of the solid (adsorbent) and the liquid in the layer. The velocity of sound in an adsorbed liquid depends on the thickness of the layer. For the determination of the velocity of sound in the liquid of the adsorption layer, it is proposed to use an original method based on comparing the parameters of bi-directional (differing in velocity) SAW.
Material Balances Design in the Al2Yb-Al-Al4Sr Subsystem
Authors: Lutsyk V , Zelenaya A , Parfenova M 
Published: December 2020

Abstract
The vertical mass balances - for the given center of masses, and the horizontal ones - for the isothermal state of isopleth, have been analyzed. These results are used for the different purposes: microstructures characterization, solidification paths confirmation, phase regions 3D-prototyping for the exploded diagram. It is once more showed, that a computer assembled model of the T-x-y diagram is a useful tool to solve different fundamental and applied tasks of the materials science.
Terahertz photoconductive antenna with embedded electrodes: simulation and experiment
Authors: Nomoev S , Vasilevskii I , Klochkov A , Vinichenko A , Khartaeva E 
Published: December 2020

Abstract
The paper presents the results of numerical simulation of a terahertz (THz) photoconductive antenna with embedded electrodes by the finite element method. The simulation results indicate the fact that the proposed THz antenna has a higher photocurrent than the conventional photoconductive antenna with conventional electrode contacts. Higher THz power can potentially be obtained using the proposed photoconductive antenna with embedded electrodes. The simulation results show that the electric field strength at the surface is higher for conventional PCA, however, the PCA depth with embedded contacts has a higher electric field strength. The simulation results show that the increase in the photocurrent is directly proportional to the thickness of the embedded contacts. The results of the performed experiments are consistent with the conclusions of the simulation.
Cardiovascular disease prediction using deep learning techniques
Authors: Pasha Syed Nawaz , Ramesh Dadi , Mohmmad Sallauddin , Harshavardhan A. , Shabana  
Published: December 2020

Abstract
Cardiovascular Disease or coronary illness is one of the significant dangerous infections in India as well as in the entire world. It is estimated that 28.1 % of deaths occur due to heart diseases. It is also the major cause for significant number of deaths which as more than 17.6 million in the year 2016. So proper and timely diagnosis, treatment of such diseases require a system that can predict with precise accuracy and reliability. Intensive research is carried out by various researchers using diverse machine learning algorithms to forecast the heart disease taking different datasets which consists of different attributes that result in heart attack. In this paper we analyzed the dataset collected from kaggle which consists of attributes related to heart disease such as age, gender, blood pressure, cholesterol and so on. We have also investigated the accuracy levels of various machine learning techniques such as Support Vector Machines (SVM), K-Nearest Neighbor (KNN), Decision Trees (DT). The performance and accuracy of above algorithms is not so well when executed using large dataset, so here we tried to improving the prediction accuracy using Artificial Neural Network(ANN), Tensor Flow Keras.
A Novel Approach for Detection of Counterfeit Indian Currency Notes Using Deep Convolutional Neural Network
Authors: Naresh Kumar S , Singal Gaurav , Sirikonda Shwetha , Nethravathi R. 
Published: December 2020

Abstract
In recent years, the Indian economy has shown rapid growth among all other major economies. India has been tragically reviled with issues like corruption and black currency, fake money notes is additionally major issues to it, in spite of a strong security feature are endorsed by RBI to print original currency. The advancement of color printing technology helped local racketeers and foreign racketeers to print a large amount of counterfeit Indian currency notes in the market. Albeit counterfeit money is being printed with accuracy, it likely is distinguished with some effort. In this paper, the proposed model efficiently detect the counterfeit Indian currency notes by adapting three-layered Deep Convolutional Neural Network (Deep ConvNet), and achieved an accuracy of 96.6%.
Portable manure dispenser machine
Authors: Korra Seena Naik , Sudarshan E , Venkatesulu S , Pramod Kumar P , Yadav Bonthala Prabhanjan 
Published: December 2020

Abstract
In Indian agriculture, farmers usually use the traditional method of transporting manure to the farm by a bullock cart or tractor. Thereafter, agriculture labour’s manually spread the manure through their shovels. This traditional method could take more time, expensive, and moreover it’s unhealthy. These problems can be overcome by automatic fertilizer spraying system using electric motor blades and allowing it to spread uniformly. It’s a portable unit and easily Plug and Play. Here, if the manure must be at least partially dry or completely dry, then it will be easy to spread over there and this manure will be made into smaller particles by the suppressor blades, which will facilitate the spreading mechanism. A special adjustments mechanism has given to spreading blades which can adjustable as per the material. Where the materials are would be either cattle manure or chemical fertilizers or douche. By using this, agricultural manure spreading time, mixing time and making as small particles time and human efforts are reduced greatly and resulting in cost reduction. The goal of this project is to reduce the time and effort required to spread manure on the farm. Most farmers in India, in particular, have adopted the old traditional methods of farming. Here we have found a solution to simplify their work. This makes the farmer feel more comfortable, relaxed and less tired by reducing human efforts due to the constantly spreading activity.
RETRACTED: RNN based prediction of spatiotemporal data mining
Authors: Shaik Mohammed Ali , Verma Dhanraj , Praveen P , Ranganath K , Yadav Bonthala Prabhanjan 
Published: December 2020

Abstract
The Spatiotemporal pattern is considered by most of the researchers to be a rehashed arrangement or relationship of specific occasions or highlights of spatiotemporal and to distinguish these groupings or affiliations are related to the spatiotemporal patterns of wrongdoing events and proper separation are clearly based on length based estimations that are expected to oblige the size or state of the pattern and ST patterns comprises of various sizes and shapes after some time are non-consistently disseminate over space by performing analytical learning of spatiotemporal successions as it is capable of creating future pictures by knowledge from the authentic edges. Spatial advents and temporal varieties are two pivotal structures which are considered in this paper which proposes the predictive methodology which utilizes recurrent neural network where the approach of persistent neural networks stands apart as a suitable worldview for without model as the data is based on the prediction of nonlinear dynamical frameworks by applying the methodology in Spatiotemporal pattern which predicts the limited mistake.
Remote Data Auditing in Multi-tenancy Cloud Storage by Using File Attribute Test Technique
Authors: Marrikukkala Ranjith Kumar , Praveen Dr. P. , Yadav Bonthala Prabhanjan , Jhansi G , Rao P. Venkata Ramana 
Published: December 2020

Abstract
Most popular computation technique in recent days is cloud computing, where we utilizing the virtual computing resources like processing data, and storage. Virtual computing environment is leads the customer lose control on his/her data, to answer this problem cloud computing has auditing techniques by cloud service provider (CSP), Third party auditor (TPA) by remote auditing data (RDA) methods. Cloud storage architectures are single tenant or multi tenant, where we compare the architectures, multi-tenancy cloud storages which contain the serious data privacy problem. To provide an efficient privacy solution for multi-tenancy cloud storage we apply RDA methods belongs to RDA taxonomy. In this paper we propose a technique to provide privacy on customer data on multi-tenant cloud storage with file attribute test.
Time for relative velocity optimal time approach in internet of vehicle communication
Authors: Mohmmad Sallauddin , Shaik Mohammed Ali , Dadi Ramesh , Pasha Syed Nawaz , Shabana  , Yadav Bonthala Prabhanjan 
Published: December 2020

Abstract
In the present era of Internet of Vehicles recommending or developing an optimal routing protocol and its architecture has the potential to reduce the overhead is considered to be the biggest task to attain the scalability and adaptability. This paper propose an architecture that meets the network standard and evolves as per the defined software for driving the “Internet of Vehicles” over dynamic networks that partitions the data and control planes in the proposed protocol. Based on speed of vehicle and distance between nodes we proposed Time for Relative Velocity (TRV) road aware system that enhances the performance over infrastructure oriented vehicular network that partitions roads into distinct segments based on multi hop method for exploring the cellular networks and their relay controlled messages with minimal latency. We also propose a mathematical model to implement dynamic vehicle topology by estimating various paths and selecting the shortest one and further suggest the same to the controller. And the results attained in this paper denote the performance obtained by implementing the proposed protocol which consumes very little routing overhead and almost negligible failure rate.