bluuebunny/crossref_metadata_2025_split huggingface dataset:
Text File Compression Using Hybrid Run Length Encoding (Rle) Algorithm With Even Rodeh Code (Erc) And Variable Length Binary Encoding (Vlbe) To Save Storage Space
Authors: Hardi S M , Zarlis M , Lubis D R P , Sihombing P , Elveny M 
Published: April 2021

Abstract
The increase of data usage causes problems in data storage, indirectly making the need for data storage also to increase. One alternative solution that can be done is to compress the file so that the file becomes smaller in size so it saves storage space. The algorithm used in this research is the Run Length Encoding algorithm, the Even Rodeh Code algorithm, and the Variable Length Binary Encoding algorithm which are the types of lossless compression. The algorithm will calculate its performance based on Compression Ratio, Ratio of Compression, Redundancy, Compression Time, and Decompression Time. The file that will be used in the data compression process is the file extension *.txt. This study used homogeneous strings (strings that have the same character) and heterogeneous strings (strings that have different characters) in testing the algorithm. In the compression process with a homogeneous string, the combination of the Run Length Encoding algorithm with the Variable Length Binary Encoding algorithm is better than the combination of the Run Length Encoding algorithm and the Even Rodeh Code algorithm with a Compression Ratio of 18.84% and a decompression time of 0.01295 ms. While the compression process on heterogeneous strings from the combination of the Run Length Encoding algorithm with the Even Rodeh Code algorithm is better than the combination of the Run Length Encoding algorithm with Variable Length Binary Encoding algorithms with Compression Ratio of an average of 52.45% and fewer decompression times of 4.93002 ms
Photovoltaic waste assessment in india and its environmental impact
Authors: Sheoran Manisha , Kumar Pancham , Sharma Susheela , Soni Amit , Sahariya Jagrati 
Published: April 2021

Abstract
An increased energy demand of the world is met by the renewable sources of energy. In this solar photovoltaic technology has turned out as a major contributor. In India solar photovoltaic sector has enhanced from 1 GW to 28 GW from 2012 to 2018 and reached 32.627 GW on 30 March 2020 as reported by the MNERA. With the soaring installations, solar photovoltaic waste has also been increasing. 200,000 million tonne of waste solar photovoltaic will be assembled in India till 2030 and approximately 1.8 million tonne by 2050. Solar photovoltaic technology includes crystalline silicon panels, amorphous silicon panels, CdTe, CIGS, GaAs panels. Among these crystalline silicon panels are used in India on a larger scale upto 93% . Life cycle assessment methodology is utilised. Environmental effects of c-Si, a-Si, CdTe, GaAS, CIGS on public health are assessed. Major health effects pertaining to different human body organs are also mentioned. The article also targets apparently thriving social, economic influence of the recycled solar photovoltaic panels. Interest of the society and recycling companies is also mentioned in the paper to highlight economic benefits that can be availed from the end life of the photovoltaic panels.
Fiber Oriental Optimization on Glass Fiber Reinforced Polymer Composite in Multi Objective Perspective based on Computational Structural Analysis
Authors: Indira Prasanth S , Kesavan K , Kiran P , Sivaguru M , Sudharsan R , Raj Kumar G , Vijayanandh R 
Published: April 2021

Abstract
Multi-perspective analyses on Glass Fiber Reinforced Polymer (GFRP) are a major concern of this work, in which bending and tensile loads focally applied. GFRPs are good composites, which have been developed to handle critical loads in an effectual manner with low price consumption. Instead of external research, this work focused to work on the optimization of the internal component of GFRPs. The component shortlisted for this research is reinforcement and its orientational angles. From the literature survey, 38 different orientational models are generated for the flexural tests, and 22 different orientational models are created for tensile tests. Three primary fibers are used for this optimization, which are E-Glass-UD, E-Glass-Wet, and S-Glass-UD. Commonly, Epoxy resin is used as a matrix for all the tests. The inputs of these computational simulations are External peak loads, which are estimated from experimental tests. The computational procedures are verified with Grid convergence test and analytical approach based validations. Finally, the structural analyses are computed and thereby models are optimized for both flexural and tensile loading conditions. Model 27 is reached the first position under flexural load and Model 1 is obtained the first position under tensile load based on low stiffness. In addition to that, Model 20 is also performed better than other models under flexural loads.
Inequalities concerning sth
derivative of a polynomial
Authors: Chanam Barchand , Devi Khangembam Babina , Krishnadas Kshetrimayum , Triveni Maisnam , Singh Thangjam Birkramjit 
Published: April 2021

Abstract
If p(z) is a polynomial of degree n having no zero in |z| < k, k > 1, then for 0 < s < n and 1 ≤ R ≤ k Jain [2007 Turk. J. Math. 31 89-94] proved

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In this paper, we improve as well as extend this inequality by involving certain coefficients of the polynomial. Further, our result improves and generalizes some well-known inequalities.
Effect of microorganisms on the stability analysis in magnetic nanofluids
Authors: Kaur Kamalpreet , Danesh Mustafa , Arora Monika 
Published: April 2021

Abstract
A study of onset of convection of a new type of fluid, a fluid that contains both magnetic nanoparticles and microorganisms, is presented in this paper. We consider an infinite horizontal layer of water based magnetic nanofluids (MNF) containing gyrotactic microorganisms, heated from below, in the presence of uniform vertical magnetic field. Here we utilize the Chebyshev pseudospectral method to solve the eigen value problem in gravitational environment. The effect of various important parameters which are conducive for the stability of the system is shown graphically.
Magnetic field and Rotation effect on thermal stability in an Anisotropic couple-stress fluid saturated Porous Layer under presence of Cross-Diffusion
Authors: Mishra Pankaj , Kumar Dhirendra 
Published: April 2021

Abstract
The present paper is based on the investigation of thermal stability problem under the influence of rotation, solute, heat and magnetic field on electrically conducting fluid saturated rotating horizontal porous media under local thermal non-equilibrium effect. We have considered a rotating horizontal anisotropic porous medium saturated with binary fluid. Process of Heating and salting is made from above to the fluid layer.Governing equations is followed by Darcy Brinkman model for characterizing the convection through porous media under the above said physical configuration. Normal mode technique and Application of Linear stability analysis has been made under the consideration of free-free boundary conditions. Thereafter the characteristic graphs between critical Darcy-Rayleigh number and corresponding wave number for beginning of convection in stationary case has been drawn and the effect of rotation, magnetic and couple stress parameters has been illustrated.At last it has been observed the non-dimensonalise parametres regarding singnificant components like rotation magnetic field and anisotropic properties of the physical configuration in present study has stabilizing effect.
Electromagnetohydrodynamic flow transport of two layer fluids through a microchannel with interfacial slip at fluid-solid interface
Authors: Rana Amalendu , Mishra Dwaipayan , Reza Motahar , Mondal Himadri Shekhar 
Published: April 2021

Abstract
This work investigates an electromagnetohydrodynamic flow of two layer fluids through a microchannel under the influence of interfacial slip at fluid-solid interface. The governing equations of conservation of momentum and potential distribution equations with Debye-Huckel approximation has been simplified analytically. The effects of different parameters like transverse electric field, viscosity ratio, interfacial charge density has been presented graphically. Also this study explored that the effect of Hartmann number and large Hartmann number on the velocity of fluid are almost opposite. These results are valid to the available data. Also it is shown that the interfacial charge density has a crucial role to play with the velocity of a fluid.
Viscoelastic fluid flow driven by non-propagative membrane contraction
Authors: Bhandari D S , Tripathi Dharmendra 
Published: April 2021

Abstract
A viscoelastic fluid flow model is develoved to study the flow analysis under the application of membrane contraction followed by the contraction and relaxation. This analysis is carried out subject to slip boundary condition. In particular, study of the kinematic of membrane motion in the insect’s tracheal tube that induces the fluid flow. The impact of a single tracheal tube’s membrane contraction has been computed mathematically, which regulated as a wall channel geometrically. Jeffrey fluid model is considered to see the viscoelastic behaviour of the fluids. The lubrication theory is adopted at a low Reynolds number for the non-linear differential equations. The pertinent influences of critical parameters on the pressure distribution have been graphically depicted. It is observed that an increase in the Jeffrey fluid parameter causes the reduction in pressure difference. This model is a highly bioinspired pumping mechanism. This model’s outcomes can be very useful in the designs of smart pumps for various biomedical applications.
A physical interpretation of the Newman Penrose formalism and its application to Bertrand Spacetime II
Authors: Jeevitha T U , Das Sanjit 
Published: April 2021

AbstractIn general relativity, problems are usually approached with coordinate basis method, but there is an other efficient method for solving these problems, which is tetrad formalism. Newman Penrose formalism is an old and renowned approach in general relativity which served immense benefits in analytical and computational aspects. The basic ingredients on the NP equations are the null tetrad (lµ, nµ, m−µ, mµ) here we construct a null tetrad for spherically symmetric static solutions that admit stable closed orbits called Bertrand Spacetime (BST) which has two type I & II, specially we concentrated on type-II. Along with this we studied Ricci spin coefficients, Ricci tensor and Weyl tensor.
Tailoring electronic properties of bilayer tri-s-triazine C3N4 using spatial modification: An ab-initio study
Authors: Mali Kishan H. , Bhagat B.R. , Dashora Alpa 
Published: April 2021

Abstract
In the present work, change in electronic properties due to structural modification of bilayer g-C3N4 using density functional theory has been studied. We have considered shifting and rotation of one layer parallel to the second fixed layer and optimised three different arrangements. The stability of the bilayer was examined by calculating the total energy of all the structures. Specific bilayer arrangement having 180° rotation has been found most stable. The study of density of states reveals band gap of this structure to be 0.60 eV. From HOMO-LUMO and partial density of states it is seen that the stability and properties of bilayer g-C3N4 highly depends on the arrangement of N-2p and C-2p orbitals in both the layers. The inclusion of van der Waals (vdW) interaction changes the properties in z axis due to coupled orbital and columbic interaction between the layers and individual orbitals.
Hydroxyl Radical Reactivity with Cytosine and Thymine: A Computational Study
Authors: Farooqui Huma , Yadav Amarjeet , Pandey B. K. 
Published: April 2021

Abstract
Addition of hydroxyl radical (OH) at the different sites of cytosine and thymine were studied at the different levels of theory of the density functional theory (DFT). All the molecular geometries were optimized at B3LYP, B3PW91, WB97XD, and MPW1PW91 methods with 6-31G (d,p) basis set. The binding energies at the different sites of these two DNA bases were calculated at all the mentioned levels of theory in gas phase and also in different solvents of dielectric constant varying from lower to higher values. The dependence of binding energies in water, methanol, ethanol, acetone, toluene and benzene reveals that binding energies are not much affected by salvation.
Effect Monitoring of Physical Education Curriculum Based on Wearable Sensor in Intelligent Environment
Authors: Liang Feng , Shan Zhouxiang , Wang Dongle 
Published: April 2021

Abstract
Reasonable amount of exercise is the premise of physical education teaching. On this premise, in the process of students’ physical education teaching, the appropriate degree of actual exercise amount will affect the effect of motor skill learning and physical exercise to a great extent. Through monitoring the amount of exercise and then evaluating the quality of physical education teaching is the focus of the implementation of physical education. Looking for simple and effective monitoring equipment has important practical significance. In this paper, through the analysis of the current situation of wearable sensor in the development of physical education teaching, put forward the effect monitoring of sports curriculum based on wearable sensor in intelligent environment. In this paper, 258 freshmen and sophomores who use wearable devices are selected for monitoring and analyzing, and the pertinence, accuracy and data of wearable sensor physical education course and traditional physical education course are compared and analyzed, and the results are discussed and analyzed. It is concluded that wearable sensor can promote physical education curriculum, not only can improve the teaching pertinence, strengthen the accuracy, but also can In order to improve the scientificity of physical education curriculum effect monitoring. The research in this paper has important practical significance for monitoring the effect of wearable sensors in physical education curriculum.
Design of an Intelligent Fiber Bragg Grating Temperature Measurement System for Electrical Equipment
Authors: Wang Liting , Han Hulin 
Published: April 2021

Abstract
For the power system, the main reason for many fire accidents is that the temperature of electrical equipment is too high, and now the widely used fire detector can only detect the fire that has occurred. If the temperature change of electrical equipment can be tracked in real time and the alarm information can be sent in time when the operating temperature is too high, the fire of power system can be scientifically and effectively prevented. The use of fiber Bragg grating sensor can provide a basis for the realization of the theoretical conception. For the traditional temperature measurement system, fiber Bragg grating temperature measurement system has the advantages of convenient maintenance, fault detection, less affected by light source power fluctuation, information sharing and long service time. It can effectively measure the temperature of isolated contact of high-voltage switchgear, the temperature of wet steam inside steam turbine and the surface temperature of power cable, etc. This paper researches a design of fiber Bragg grating temperature measurement system.
Sports Video Tracking Technology Based on Mean Shift and Color Histogram Algorithm
Authors: Shen Zhen 
Published: April 2021

Abstract
With the development of society, people pay more and more attention to sports. In this context, sports video tracking technology has become a research hotspot. At present, a lot of research has been done on target tracking technology at home and abroad, and great breakthroughs have been made. However, there are still some deficiencies in the existing video tracking algorithms. On this basis, this paper combines the mean shift algorithm with color histogram algorithm, and proposes a new sports video tracking technology algorithm. In the study, in order to verify the effectiveness of this method, we select two videos to do experiments. In order to highlight the advantages of this method, we will use the mean shift algorithm for sports video tracking method and the color histogram algorithm for sports video tracking method as a comparison. The results show that, overall, the tracking accuracy of the proposed method is the highest, with an average tracking accuracy of 95.9%, followed by the mean shift algorithm for sports video tracking. The average tracking accuracy of this method is 90.35%. Finally, the color histogram algorithm is used to track sports video, and the tracking accuracy of this method is accurate the rate was 89.8%. In addition, the tracking speed of the proposed method is better than the other two methods. It can be seen that this method has good performance and can track sports video quickly and accurately.
Artificial Intelligence Technology Monitoring Terminal for Mechanical Vibration Wireless Sensor
Authors: Zhang Shucheng 
Published: April 2021

Abstract
Wireless sensor network has the characteristics of distributed, self-organizing, strong expansibility, convenient and flexible deployment, which can effectively make up for the deficiency of traditional limited monitoring system in special application occasions such as closed, large displacement, rotation, etc., and has a huge application prospect in the field of mechanical vibration monitoring. This paper mainly studies the design of wireless sensor monitoring terminal for mechanical vibration with artificial intelligence technology. In view of the narrow wireless channel and low communication efficiency of the current mechanical vibration wireless sensor network nodes, this paper proposes a dual-core architecture node design method supporting IEEE 802.11 protocol, which provides the cohardware support for the low energy consumption and high efficiency transmission of large amounts of data.
CNN Face Live Detection Algorithm Based on Binocular Camera
Authors: Li Chunyan , Li Rui , Sun Jianhong 
Published: April 2021

Abstract
In this paper, a convolutional neural network (CNN) detection analysis is performed for live face detection by binocular cameras, and a binocular stereo matching network with fused edge detection is designed and implemented to target the quality of image details and parallax prediction at edges. Experiments show that the random sample pair confusion loss function can effectively improve the accuracy and generalization of the face live detection algorithm; the multi-task training approach can improve the performance of both faces live detection and face recognition; the algorithm shows excellent performance in both faces live detection and face recognition, especially the generalization of face live detection is greatly improved. A pre-trained convolutional neural network is used to extract features, and a content loss function and a domain loss function are designed to measure the feature distance between two images, and a feedforward neural network is trained as an image transformation network to migrate samples to the same domain. Experiments show that the algorithm can reduce the feature differences between the face live detection data of the two domains and can be used to improve the generalization of the face live detection algorithm.
Research on Optimization of Distributed Node Location Algorithm in Wireless Sensor Networks
Authors: Xu Hui 
Published: April 2021

Abstract
This paper studies the related theories of wireless sensor networks, and an improved DV-Hop algorithm is proposed, which used to estimate the distance error mainly based on the error of average per hop distance, unknown nodes and anchor nodes in traditional algorithm. Through the simulation analysis, it can be found that compared with the traditional Location algorithm of DV-Hop and other improved algorithm, the improved algorithm proposed in this paper can reduce the location error and improve the location accuracy when the proportion of the anchor nodes is moderate and the communication radius is small, and this algorithm is suitable for the low power and wide range wireless sensor network environment.
Fault Diagnosis Method of AC Transmission Controller Based on PLC Technology
Authors: Zhang Liping 
Published: April 2021

Abstract
In recent decades, as a clean and efficient secondary energy source in modern society, electricity has unique advantages, is easy to convert, and is suitable for other forms of energy for centralized mass production. This article introduces a special diagnostic technology through PLC technology, which is one of the most eye-catching technologies in today’s new technologies, especially the plan to solve operational problems through radio and electrical system controllers. According to the standard and modulate the parameters of the controller system. The experiments in this paper show that the use of particle swarm algorithm for fault diagnosis of the controller can greatly simplify the complexity of the power grid, and can well control the power flow of the power grid; it can increase the transmission capacity of the network.30%; Avoid the overload phenomenon of parallel operation lines; improve the static and transient stability of the AC transmission controller system.
Interactive Film and Television Animation Special Effects Production Techniques in Visual Design
Authors: Ying Zhiyuan 
Published: April 2021

Abstract
Film and television special effect embodies the new development of the combination of visual technology and art. It has become an effective expression method of contemporary movies and an indispensable technical guarantee for creative realization. This article mainly studies the special effects of interactive film and television animation in visual design. This article attempts to take the perspective of visual design as an entry point, push traditional film and television animation to the forefront of technology, and combine the new characteristics of film and television animation with the changes in science to analyze the influence of traditional film special effects theory on digital technology. The changes in the spatial form that have occurred underneath. In this special effects creation, film and television special effects technology and space performance theory are combined. In theory, the three spatial forms in film and television special effects creation are redefined and expressed according to creative practice. They are spatial expression from scratch, spatial expression combining virtual and real, and interactive expression between space and people or things. Technically, it has achieved a breakthrough in its own capabilities. Experimental data shows that under the three backgrounds of medium saturation + high brightness, low brightness + high saturation, and medium brightness + high saturation, there is no more comfortable foreground color to match with it, showing obvious visual discomfort.
Video Abnormal Event Detection Based on Optical Flow and 3DCNN
Authors: Li Zhenjiang , Wu Guangli , Liu Ye , Shuai Yifan , Wang Lei 
Published: April 2021

Abstract
With the advancement of technology, the detection of abnormal events in videos has extensive theoretical and practical significance. Most events in videos are normal events, but a small number of abnormal events contain a lot of information. How to identify individual abnormal events from massive videos is the focus of concern. The paper made full use of the spatio-temporal continuity of video images. Firstly, a space-time cube was constructed by integrating optical flow information; secondly, a multi-layer three-dimensional convolutional neural network model was constructed; finally, the entire process of video abnormal event detection was realized based on this model. The experiment on the UCSD dataset showed that the method in this paper can effectively detect abnormal events in videos.