bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Structural Changes on the Electrical Properties of Sol-gel derived Iron Doped Barium Titanate
Authors: Singh Devendra , Dixit Anju , Dobal Pramod S 
Published: November 2021

Abstract
BaTi1-xFexO3 compositions for x = 0.0 - 0.5 were successfully synthesized using solgel method and the structural, dielectric, ferroelectric, and ferromagnetic properties of these compositions were studied. X-Ray diffraction patterns revealed a tetragonal phase in x=0.0 composition which changed to the hexagonal phase in x = 0.4 and 0.5 compositions. The co-existence of tetragonal and hexagonal phases was observed in iron doped samples up to x= 0.3. The difference in ionic radii of Ti and Fe ions was responsible for changing c/a ratio. Average grain size was found gradually increasing with Fe content in these compositions and was also observed in SEM micrographs. The dielectric constant and tangent loss were found decreasing with Fe concentration. The values of remnant and saturation polarizations decreased whereas that of saturation magnetization increased with an increasing content of Fe in barium titanate.
Investigation of dielectric properties in tantalum doped AgNbO3 ceramic
Authors: Joshi A , Bhatt S C , Uniyal M , Kumar K 
Published: November 2021

Abstract
Dielectric materials developed from Tantalum (Ta) doped AgNbO3 (ATN) show excellent properties in variety of electronic technologies. In the temperature range of 70 to 400 °C, four major dielectric abnormalities were observed in ATN (x = 0.1) while in ATN (x = 0.2) the maxima of M1-M2 phase shift to low temperature value. ATN ceramics’ dielectric properties dominate temperature and electric field-based performance, which has a major effect on their properties. This study looked into the dielectric properties in ATN.
Overview and methods in Enhanced Oil Recovery
Authors: Khan Aashima , Saxena Shaivya , Baloni Srishti , Sharma Mudita , Kodavaty Jagadeeshwar 
Published: November 2021

Abstract
After the conventional oil recovery system, it was estimated that huge amount of oil reserves is still remaining un-extracted. Because of tremendous demand for oil and established facilities at the oil exploration sites after conventional recovery got significant attention. Since the oil is entrapped in the porous rock structure and is difficult to evacuate, focus was made on tertiary recovery of oils. Many methods have been suggested by various researchers with different techniques to mobilize the entrapped oil in the well. The classification of the techniques will give different methods of recovery. The rheology, surface tension, mobility ratio are the important parameters that were considered during the enhanced recovery. The review that is presented here gives the overall methods for recovery and various materials and important parameters to be considered for the enhanced oil recovery. A new substitute for the sand pack column is suggested to conduct the bench top experimental set up that would ease the work of flooding with alkaline, surfactant and polymers.
The structure of liquid aluminosilicate under AI2O3 content: simplexes and shell core analyses
Authors: Dung Mai Van , Dung Tran Thanh , Quynh Truong Duc , Tuan Nguyen Manh , Nam Tran Thanh , Yen Nguyen Van , Hue Hoang Van , Vinh Le The 
Published: November 2021

Abstract
The structural properties of xAl2O3(1-x)SiO2 liquid systems have been investi-gated by molecular dynamics simulation in a wide range of compositions, x = 0.05–0.7 at 3000 K. The structure of liquid aluminosilicate system is clarified by analyzing the simplex and shell-core. The simulated results showed that the liquid consists of a large quantity of void-simplex, O-simplex, T-simplex, and SC-particle. Our simulation reveals that the densification of the liquid is due to the fact that the number of large simplexes and the radii of simplexes and SC-particles decrease. Besides, results also indicated that the distribution of cations in the liquid is not uniform.
Stability and bifurcations of a discrete-time prey-predator system with constant prey refuge
Authors: George Maria Selvam A , Janagaraj R , Britto Jacob S , Vignesh D 
Published: November 2021

Abstract
In ecology, by refuge an organism attains protection from predation by hiding in an area where it is unreachable or cannot simply be found. In population dynamics, once refuges are available, both prey-predator populations are expressively greater and meaningfully extra species can be sustained in the region. This examine the stability of a discrete predator prey model incorporating with constant prey refuge. Existence results and the stability conditions of the system are analyzed by obtaining fixed points and Jacobian matrix. The chaotic behavior of the system is discussed with bifurcation diagrams. Numerical experiments are simulated for the better understanding of the qualitative behavior of the considered model.
Mathematics Subject Classification. [2010] : 37C25, 39A28, 39A30, 92D25.
Electrochemical Anodization and Characterization of Titanium Oxide Nanotubes for Photo Electrochemical Cells
Authors: Bhadra C U , Henry Raja D , Jonas Davidson D 
Published: November 2021

Abstract
Due to its multitude of applications, titanium oxide is one of the most coveted and most sought-after materials. The above experiment demonstrated that TiO2 nanotube arrays might be formed by electrochemical anodization of titanium foil. The 0.25 wt% ammonium fluoride (NH4F) was added to a solution of 99% ethylene glycol. Anodization is carried out at a constant DC voltage of 12V for 1 hour. Then, the annealing process is carried out for 1 hour at 4800C, which is known as an annealing. FE-SEM were utilized to evaluate the surface morphology of the nanotube arrays that were made. At the wavelength of 405 nm, sharply peaked photoluminescence intensity was observed, which corresponded tothe band gap energy (3.2 eV) of the anatase TiO2 phase. Since free excitations appear at 391 and 496 nm, and since oxygen vacancies are developed on the surface of titania nanotube arrays, it is reasonable to conclude that free excitations and oxygen vacancies are the causes of humps at 391 and 496 nm, and that they may also be present at 412 and 450 nm. FESEM results showed uniformly aligned TiO2 nanotube arrays with an inner diameter of 100 nm and a wall thickness of 50 nm
Theoretical assessment for the mixing properties of AlMg liquid alloys at 1073K
Authors: Ahmad Shayista , Sah M P , Chaudhary R P , Jha I S , Mandal J 
Published: November 2021

Abstract
The alloying behavior of AlMg alloy in the liquid form at 1073 K has been theoretically investigated in the framework of four-parameter model which is based on Maclaurin series. The analytical expressions for thermodynamic functions such as excess free mixing energy, free mixing energy, enthalpy of mixing and entropy of mixing and microscopic functions such as concentration fluctuations at the long wavelength limit and Warren-Cowley chemical short range order parameter have been derived. These expressions have been used to compute the excess Gibbs free energy of mixing, Gibbs free energy of mixing, activity, enthalpy(heat) of mixing, excess entropy of mixing, entropy of mixing, concentration fluctuations in long wavelength limit and Warren-Cowley short range order parameters of AlMg liquid alloys at 1073 K. The investigation shows the excellent concurrence between the experimental and theoretical measurements of the mixing properties of AlMg liquid alloys at 1073 K. Interaction parameters of energy depends on temperature.
Efficient degradation of picric acid using rGO-MnO2 hybrid nanocomposite under different light conditions
Authors: Usharani B , Manivannan V , Shanmugasundaram P 
Published: November 2021

Abstract
Picric acid is a very dangerous environmental pollutant generated from chemical and dye industries due to its high toxicity. Therefore, efforts have been made to develop techniques for the efficient degradation of picric acid. A novel rGO-MnO2 nanocomposite has been synthesized by chemical method for the degradation of picric acid in various light medium. The rGO-MnO2 nanocomposite was characterized by X-ray Photoelectron Spectroscopy (XPS), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), Energy dispersive X-ray (EDAX), Ultraviolet-visible (UV-Vis) and Scanning electron microscope (SEM). The synthesized, pure rGO, MnO2 and rGO-MnO2 nanocomposite catalyst have been studied for the activity of photocatalytic degradation against picric acid under different light sources such as UV light (254,365,390 nm), visible light and sunlight. It is found that rGO-MnO2 has achieved better performance compared to that of pure rGO, MnO2.
Synthesis of Transition Metal Dichalcogenides based hybrid nanostructures by thermal decomposition method
Authors: Baby Melbin , Rajeev Kumar K. 
Published: November 2021

AbstractIn this work, we report synthesis of hybrid nanostructures of Transition Metal Dichalcogenides via thermal decomposition method. Ammonium tetrathiomolybdate was used as not only growth templates but also as starting precursor for synthesis of hybrid nanostructures. The conditions for the synthesizing method were optimized using electron microscopy and x-ray diffraction. In this hybrid nanostructure synthesis, it was found that MoO3nanorods are interspersed on exfoliated MoS2nanosheets. The structural and optical properties of the hybrid nanostructure were investigated using transmission electron microscopy (TEM), Scanning electron microscopy (SEM), X-ray diffraction (XRD), Raman spectroscopy and Ultraviolet Visible spectrophotometry (UV-VIS). The hybrid nanostructure of MoO3on MoS2shows a band gap of 2.2 eV. It was also found that by tuning the preparation parameters viz temperature of heating and time of heating, the composition of the hybrid nanostructure can be varied.
Single crystal X-ray diffraction, Hirshfeld surface analysis and DFT studies of Bis(L-Serinium) oxalate dihydrate (BLSOD)
Authors: Ilakkiyaselvi S , Sinthiya A 
Published: November 2021

Abstract
Bis(L-serinium) oxalate dihydrate (BLSOD) crystals synthesized and structure derived from single crystal x-ray diffraction analysis and compared with early reported BLSOD. Compared to the reported structure the present structure has two new C-H…O hydrogen bonding. The hydrogen bonding interactions of O•••H (69.6%), H•••H (24%), C•••H (2.7%), C•••O (1.6%) and 0•••0 (2.1%), are derived from the Hirshfeld surface analysis. The grown crystals characterized by Fourier Transform Infrared (FTIR) and Ultraviolet (UV) spectrum. The optimized structure, HOMO-LUMO, NBO and NLO properties of BLSOD were calculated and compared with early reported BLSOD structure using B3LYP method with 6-31G basis set as provided with Gaussian 5.0 software. The DFT theoretical calculation indicates the new change in the bonding interaction improved the NLO property compared to early reported structure of BLSOD. This may be due to the change in the molecular orientation.
Analysis of Weed Growth in Rabi Crop Agriculture Using Deep Convolutional Neural Networks
Authors: Mishra Anand Muni , kaur Prabhjot , Shahare Yogesh , Gautam Vinay 
Published: November 2021

Abstract
Weed interference for the duration of crop establishment is a severe difficulty for wheat in North India [22.9734 ° N, 78.6569 ° E]. In situ far-flung detection for precision herbicide application minimizes the danger of both crop damage and herbicide input. This research paper focuses on the comparative study of crop growth and its effect at three different places in Madhya Pradesh [24.5840° N, 81.5020° E] India[20.5937° N, 78.9629° E]. These weed species included Pigweed (Amaranthaceae ), Goosefoot [Chenopodiaceae], Wild oat species (Poaceae), livid amaranth (Amaranthus blitum L.), Fathen[Chenopodiaceae (L.) Wild.], and Bermuda grass (Poaceae L.) a significant weed for rabi crop production in India with sensitivity to clopyralid, is the best available put up broadleaf herbicide. The intention of the Takes a look to assess the accuracy of four different CNNs architectures to locate the weed images of the Rabi crop of the family of various Rabi crops growing in competition with Rabi crops at 3 sites in Madhya Pradesh. Four CNNs have been compared, including object detection-primarily based ResNet-50, image classification-based VGGNet-16, Inception v4 and EfficientNet-B7 the EfficientNet-B7 networks have been trained to hit upon both leaves or canopies Everlasting of weeds. Image classification the use of ResNet-50 and VGGNet-16 was largely unsuccessful all through validation with whole pics (Fl-score < 0.04). CNN training elevated the usage of cropped photographs Eternal Broad Fall detection at some stage invalidation for VGGNet (F1-score = 0.77) and ResNet-50 (F1-Score = 0.62). The rabi crop weed leaf-trained inception V4 and EfficientNet-B7 achieved the highest F1-Score (0.94) and F1 Score (0.96) respectively, The aim of leaf-based EfficientNet-B7 extended false positives, even though such errors could be won over with extra training images for network desensitization training. Photograph-based faraway sensing rabi crop will become the most viable CNN test for weeds in competition with the EfficientNet-B7 crop.
Effect of parasitic resistances on CdTe solar cell and validation with datasheet of FS-6450A in Matlab/Simulink
Authors: Kar S , Banerjee S , Chanda C K 
Published: November 2021

Abstract
Cadmium telluride (CdTe) is the second popular choice after silicon for the solar cell in photovoltaic (PV) technology. Among the thin-film photovoltaic panels, CdTe reaches its first position to surpass crystalline silicon PV in cheapness and confined a large space in the PV market. Before constructing CdTe PV panels its operating characteristics should be properly judged. Any solar cell being related to a high level of nonlinearity, the model parameter is to be chosen judiciously. The operating characteristics can be well considered after the model circuit parameter comes accurately. In this paper operating characteristics of a thin-film CdTe solar module is shown with the variation of series and shunt resistance. Also considering parasitic resistances, the output characteristics of the solar cell varying climate condition is shown. Validation with FS-6450A PV module and all the simulation works are done in Matlab/Simulink environment. In the end, it is concluded with possible outcomes.
Basic simulation studies on 60 GHz wireless technology employing QAM modulation
Authors: Keerthana S , Indumathi G 
Published: November 2021

Abstract
The 60 GHz technology engage between 57 GHz to 66 GHz occupying an unlicensed band consisting of four channels with 2 GHz bandwidth each. The wavelength of such technology approximates 5 mm enabling milli-meter wave communication. It benefits transmission security for crucial data. Indoor networking equipment with large bandwidth and high-capacity streams lag free High-Definition video from tablet to television. This paper intends to present the simulation studies on 60 GHz mm-wave band technology employing QAM modulation for wireless applications. The experimental results were obtained by simulating the designed architecture in Agilent ADS software tool and further presented to deduce the insight of future Wi-Fi for wireless applications.
Novel RF energy harvesting using Rectenna
Authors: Purohit Nikhil , Rosaline Imaculate 
Published: November 2021

Abstract
In this paper an experimental RF energy harvester using rectifying antenna (rectenna) to harvest ambient energy from cellular device operating at 900 MHz GSM band is proposed. The circuit is a combination of antenna and rectifying circuit using Schottky barrier diode for microwave (RF) to DC conversion. The performance results of the rectenna shows radiation efficiency of around 58.81%, gain of 3.9 dB and directivity of 5.972 dBi. The proposed rectenna design can prove to be a low cost device for wireless power transmission and RF energy harvesting. The prototype is fabricated with simulated and measured results in good agreement, having a return loss of 21 dB at frequency of around 885 MHz. The overall efficiency is enhanced by using ISS351-TB-E Schottky diode which is categorized by a low junction capacitance and a low threshold voltage to achieve higher conversion efficiency.
Comparison of closed loop performance of consistency process dynamics for various PID controller algorithms
Authors: Juneja Pradeep Kumar , Sunori Sandeep Kumar , Sharma Abhinav , Sharma Anshu , Kumar Prabhat , Joshi Vikas , Raizada Rohit 
Published: November 2021

Abstract
In this work, various algorithms of PID (Proportional-Integral-Derivative) controllers such as series, parallel, series together with derivative filter and parallel together with derivative filter form are implemented for the comparative analysis of the closed loop responses of an important parameter in head box of a paper machine in a paper making process industry called consistency, which has FOPDT (First Order Plus Dead Time) dynamics. Also the comparison is made between the closed loop responses achieved from different values of derivative filter factor for non-ideal situations. The steady state and dynamic characteristics are analyzed and compared and important inferences are derived.
Internet of Things Enabled Smart Animal Farm Prototype
Authors: Easwaran Arjun , Arvindan P , Dhanyasree E , Surya R , Selvakumar S 
Published: November 2021

Abstract
Livestock plays very important economic, social and cultural roles in the well being of rural communities across the world. Quality environmental conditions, automation and monitoring are the key necessities of running a good and profitable livestock farm. Air quality, temperature of the surroundings and humidity play a major role while deciding the fan speeds of the exhaust System used in all aspects of livestock farming. Another important part of livestock production is increasing incubation speeds of eggs by performing artificial incubation. It is a requirement to maintain the temperature at a constant value in this system. This paper describes two mutually exclusive Fuzzy Logic algorithm-based systems to automate the exhaust system and an artificial egg incubator. The other important part of a livestock farm is production of milk and milk products. It is required to monitor the health of cows by overseeing their activities at any point of time. This can be done by determining and monitoring the activities performed by the cow. This paper describes a simple Deep Learning Model to classify the activities of a cow broadly as standing, walking or grazing. The Exhaust and the Incubator system are controlled and monitored using Internet of Things (IOT) System using a native web application developed using the Flask framework.
Metamaterial Based Multiband Microstrip Patch Antenna for 5G Wireless Technology-enabled IoT Devices and its applications
Authors: Colaco John , Lohani R.B. 
Published: November 2021

Abstract
In the present era of the digital world, demand for IoT based smart devices has seen tremendous growth. These devices involve real-time human-to-machine communication and interaction. Communication of uninterrupted quality depends on the high bandwidth and speed of the internet. The development of 5G wireless network technology is the response to the crucial factors that lead to this demand, because of its ability to provide extremely fast internet speed, high bandwidth, high performance, reduced latency, and high reliability. In this research work, the authors have developed a metamaterial-based multi-band microstrip rectangular shape patch antenna with a wide high-performance bandwidth because of the demand. The proposed design has a low dielectric constant of 2.2, which is of Rogers RT/Duroid substrate, and a dielectric loss tangent of 0.0010. The design has a resonant frequency of 26 GHz. The simulations carried out using FEKO software has been analyzed for performance. The simulation and analysis reveal a good return loss of -34.4 dB at 26 GHz, -13.49 dB at 40 GHz, -13.63 dB at 53.5 GHz, high bandwidth of 5.368 GHz at 26 GHz, 3.76 GHz at 40 GHz, 2.88 GHz at 53.5 GHz, desirable voltage standing wave ratio, 1⩽VSWR⩽ 2, high gain of 10 dBi at 26 GHz, 5 dBi at 40 GHz, and high antenna radiation efficiency of 99.7 % at 26 GHz, and 61% at 40 GHz, 50% at 53.5 GHz. The bandwidth, return loss, antenna radiation efficiency and power density indicate an improvement of 5.368 GHz to 5.630 GHz, -34.82 dB to -57.10 dB, 99.7 % to 99.8 % and 2208 kW/m2 to 2800 kW/m2 respectively after loading and incorporating artificial magnetic split-ring resonator-based metamaterial on the patch. Further improvement is also seen at other frequencies. The proposed design has immense benefits for humanity due to its improved capacity to manage larger connected IoT devices in the fields of Industrial 4.0, Healthcare 4.0, Autonomous Vehicles, Agriculture 4.0, Education, Climate Change, Sustainability, and Oceanography.
Comparative analysis of image processing techniques for obstacle avoidance and path deduction
Authors: Rajavarshini R , Shruthi S , Mahanth P , Kumar Boddu Chaitanya , Suyampulingam A 
Published: November 2021

Abstract
The growing need for automation has a significant impact on our daily lives. Automating the essentials of our society like transportation system has plenty of applications like unmanned ground vehicles in military, wheel chair for disabled, domestic robots, etc., There are driving, braking, obstacle tackling etc., to a transportation system that can be automated. This paper particularly focuses on automating the obstacle avoidance which provides intelligence to the vehicle and ensures a high degree of safety and is performed using image processing algorithms. Edge based detection, image segmentation, and Machine Learning based method are the three image processing techniques used to detect and avoid obstacles. Haar cascade classifier is the machine learning method where Haar cascade analysis is performed for better accurate results with justifying graphs and parametric values obtained. A comparison of the three image processing algorithms is also tabulated considering obstacle size, colour, familiarities and environmental lightings and the best image processing algorithm is inferred.
RETRACTED: Vulnerability Recognition and Resurgence in Network based on Prediction Model and Cognitive based Elucidation
Authors: Jagannathan Jayaganesh , Mohamed Parvees M.Y. 
Published: November 2021

Abstract
The challengeable factor in current network issue is identification of vulnerability and the same can be prevented before it occurs. Many traditional measures applied to keep track of assessing the system in terms of misconduct calculation. There are two different kind application running via network interface which are known process application and unknown process application. Known applications can be managed with the help of existing approaches whereas resolving problems of unknown applications are questionable. The proposed solution addresses this issue by applying cognitive based solutions and supervised learning model. Traffic parameters considered here as major concern and feature extraction is done against parameters flow of information does after pre-process the data. Training, Automation and detection is a sequence of process is used to find vulnerability misconduct in network and simulated with the help of python.