bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of improvement in performance of FRP composite by using Al (OH3) as secondary reinforcement
Authors: Meenakshi C.M. , Ravi Rajesh , Stephen Leon J. , Selvaraj M. , Manikandan K. , Suresh G. , Lavanya R. 
Published: June 2021

Abstract
Composites are the materials of this century, and it uses are predominately occupied in all areas, starts from kitchen utilities to aerospace sectors. Among different type of composite materials, the fiber reinforced polymeric (FRP) composite materials are the most used and accepted one. There are many researches undergoing to further improve the performance of these fiber reinforced polymeric composites. One of the proven methods for performance improvement is adding secondary reinforcement into the base matrix material. There are different types of secondary reinforcement like rice husk, MgCO3, Boron nitride powders, which are often used and their respective performance recorded by different researchers. In this work, laminate of size 300 X 300 mm with 3 mm thickness fabricated using hand layup method in which epoxy has been chosen as the base matrix material. The laminate consisting of 3 layers (Glass-Flax-Glass) with 2% wt of Al (OH3) as secondary reinforcement and compared with the mechanical properties without using secondary reinforcement. From the result we understood that the tensile strength and flexural strength of laminate is increased by the addition of secondary reinforcement.
Effect of cascara/testa natural fiber reinforced (epoxy based) hybrid composites
Authors: Mohamed Abbas S. , Manikandan R. , Suresh G. , Suberiya Begum S. , Selvi S. 
Published: June 2021

Abstract
In this investigation, cascara/testa has been chosen as the particulate reinforcement agent along with the E-Glass fiber support, upon the epoxy matrix material. To carry out the experimental analysis, the standard ratio of cascara, testa and combinations of both have been selected as the particulate reinforcement, as 10% weight ratio of each respectively. Moreover to completely exploit mechanical behaviourism of the fabricated composite, physical analysis like tensile, flexural, impact and water absorption tests have been conducted as per the ASTM standards. In the pretext of the analysis, the strain rate of the tensile and flexural analysis has shown the increase of 3.5% and 2.75% respectively. In the same way, the impact analysis has also shown the hike in the absorption value as 1.25%, 1.12%. Furthermore the obtained results have shown that, the addition of cascara/testa have considerably increases the strain value and impact resistance of the fabricated specimens in sizeable manner by compromising the water uptake behaviour. Out of all standard tests, the hybrid composites (combination of cascara and testa) have shown the good conformity with all set of remaining specimens.
Actual quantification of probabilities for selected bridge failure scenarios
Authors: Hildebrand Maciej 
Published: June 2021

Abstract
Considering risk analysis for civil structures, it is essential to determine the possible course of failure. There are numerous scenarios of different likelihood of occurrence. Several scenarios of the failure of bridge structures are proposed in the paper. Moreover a brief analysis of three failure scenarios for the stays of cable-stayed bridges is presented. The analysis applies to modern 21st century bridges built using state-of-the-art technologies. These are bridges with 60 ÷ 375 m long cable-stayed spans. As a result of the analysis, the probabilities of the occurrence of failure events were estimated. The considered scenarios should influence the layout of a structural monitoring system, if such system was proposed for the bridge.
Regional Atmospheric Radiation and Meteorological parameters in presence of Aerosol from CERES and MODIS: A Case Study of Observational Satellite Remote Sensing
Authors: Athira S , Pillai Sivasagar , Satapathy Jyotirmayee 
Published: June 2021

Abstract
This study focuses on the satellite observations from space-borne sensors and their usefulness in understanding atmospheric radiative changes in the presence of aerosol in a regional climate system. For this analysis, four years (2014–2017) of aerosol and flux products along with other meteorological parameters are used which are obtained from satellite remote sensing products. The radiative flux products available from Cloud and the Earth’s Radiant Energy System (CERES) along with the products pertaining to atmosphere thermodynamics available from Moderate resolution Imaging Spectroradiometer (MODIS) are included in this study. This study is an attempt to understand the possible effects of the presence of aerosol in perturbing the seasonal atmospheric dynamics and radiation budget, based on space borne observation systems. This study is aimed at atmospheric changes over Delhi, India, under different aerosol loading conditions. Significant changes have been observed in the atmospheric meteorological parameters and simultaneous modulation in radiation fluxes are perceived with the aerosol variation for 3 different seasons. The relationship between thermodynamic environment and its sensitivity in presence of aerosol has put forth a vital area for further studies. This analysis draws insight towards a merged hypothesis for the simultaneous roles of thermodynamics and aerosols in influencing the atmosphere dynamics and radiative effect modifying the energy budget and atmospheric processes on a local scale as well as a utility of space borne remote sensing in analysing environmental aspects.
Synthesis and optical properties of Er/Yb/Ag modified bismuth – tellurite based glasses
Authors: Jayaswal Y.K. , Patidar Sunil , Mahajan S.K. , Dhiman S.K. , Ansari Ghizal F. 
Published: June 2021

Abstract
The Er2O3-Yb2O3 codoped TeO2-Bi2O3-Na2O-Glasses along with addition of AgNO3 in basic compositions glasses have been prepared by traditional melt quench method. Investigation of the synthesized glasses is done by DSC, XRD, and UV-Vis. spectroscopy. The glass transition temperature is observed by differential scanning calorimetry. The amorphous nature of the synthesized glasses is confirmed by X-ray diffractogram taken at room temperature. The fluid displacement method on the basis of the Archimedes principle was used to calculated density of prepared samples. The UV-Visible absorption characterizations have been done in the range of 200–1100 nm of synthesized glasses having different percentage of doping of Er2O/Yb2O3/AgNO3. The study of optical properties of the glasses such as the absorption coefficient (α), cut-off wavelength, forbidden energy band gap (Eopt), refractive index and Urbach Energy (Eu) have been done. The effect of Er2O/Yb2O3/AgNO3 on optical properties is observed.
Investigate the fast melting process of 2D SiC model by molecular dynamics
Authors: Van On Vo , Nhi Nguyen Thị Thuy , Hung Nguyen Thanh 
Published: June 2021

Abstract
This paper presents the results of the study of fast melting process of 2-dimensional SiC by MD simulation with a sample of 400 atoms which consists of 200 Si atoms and 200 C atoms. The model is melted from 300K to 8000K at a rate of 1013 K/s. Investigation of energy dependence on temperature shows a jump of the average total energy of SiC model at temperature T = 5090K. Investigation of material microstructure by a radial distribution function, ring distribution, bonding angle distribution, even distribution number distribution showed that the phase transition temperature was about 5090K.
Dynamics of magnetic pulse compression circuit of metal vapor laser
Authors: Singh Dheeraj K , Dikshit B , Mukherjee Jaya , Rawat V S 
Published: June 2021

Abstract
Solid-state pulse power supply uses magnetic pulse compression circuit (MPC) to reduce the rise time of the voltage pulse applied across the Metal vapor Laser (MVL). In MPC, the nonlinear characteristics of ferromagnetic material is leveraged, to obtain large change in its inductance. These inductors get saturated during application of desired voltages and offer low impedance, which acts like a closed switch. It is desirable to fix the operating point in the B-H curve for smooth functioning of the switch, hence a current is applied to the magnetic switch to reposition the operating point on B-H curve from positive saturation flux to negative before appearance of next pulse. In MVL proper reset becomes extremely important because of small tolerance in the timing, for obtaining low jitter requirement.
At low repetition rate, resetting of magnetic switch is easy as the oscillation in L-C circuit in MPC dies out before the next pulse. However, as the repetition rate increases there is very little time for reset dynamics to take place before the next pulse. In this paper we are presenting detailed dynamics of 9 kHz pulse repetition rate MPC for MVL. B-H curve have been derived using voltage, current waveform and Jiles Atherton equation in simulation model. We have shown how MPC oscillation affects the B-H curve of the magnetic switch. An experimentally validated simulation model is developed for detailed analysis of dynamics of MPC and to observe other implications like effect of reset on jitter in output of MPC.
Theoretical modeling of Pd-SnO2 based ethanol gas sensor
Authors: Vishwakarma A. K. , Sharma A. K. , Yadav L. 
Published: June 2021

Abstract
In this paper, we fabricate two devices, undoped tin oxide (UTO) and 1 wt% palladium-doped tin oxide (PdTO) thick films for ethanol (C2H5OH) gas sensors. UTO and PdTO samples were deposited on alumina substrate using screen-printing technology. The fabricated UTO and PdTO sample was used as ethanol gas sensor in range (0-5000 ppm) at operating temperature 473 K. The results showed the highest response (∼71%) for varying concentrations of ethanol (5000 ppm) at operating temperature 473 K. Also response/recovery time was observed and it was ∼41 s / 125 s. our experimental data was well supported by the proposed theoretical model.
Performance of an OWC device placed over stepped bottom in random waves environment
Authors: Trivedi Kshma , Koley Santanu 
Published: June 2021

Abstract
The performance of an OWC device placed over stepped bottom is analyzed in random waves environment. To model the random local wave climate, the Pierson-Moskowitz spectrum along with two different sea states are considered. The effect of front wall draft, wall thickness, device chamber length and turbine damping coefficient on the efficiency of the device are discussed in details. It is observed that the local wave climate plays a vital role on the performance and efficiency of the OWC device along with the variation in device parameters.
Methods and models of calibration of vector network analyzers
Authors: Khayrullin RZ 
Published: June 2021

Abstract
Currently, measurement devices and instruments operating in the microwave range are widespread. Therefore, the problem arises of periodic checks, verifications and calibrations of such devices and instruments. The task of minimizing the systematic measurement error is a key task when performing verification of measuring instruments, measuring systems and devices operating in the microwave range using vector network analyzers. Various methods and models for performing calibrations of a vector network analyzer for determining the scattering parameters of passive microwave devices are described. The analysis of calibration methods is carried out, recommendations for its applications are given.
Bianchi-III inflationary universe with flat potential in general relativity
Authors: Kumawat Sunil , Poonia Laxmi , Sharma Sanjay 
Published: June 2021

Abstract
A study of an inflationary universe in recent scenario under effect of the scalar field with presence of flat potential is discussed in this paper to observe the of behavior of universe. For this purpose we have considered the proportionality relation between shear and expansion coefficient, it leads to condition B = Cα where B and C are the coefficients of line element, Here, α is positive integer other than one. The kinematical and structural features of constructed model are also pointed.
Mathematical representation of Wind Turbine Power reliability
Authors: Indhumathy D , Narmatha D , Rojamary T 
Published: June 2021

Abstract
Nowadays wind resource assessment utilize new advanced technologies and appropriate analytical methods which are applied to estimate how much wind as a fossil free fuel will be available from a wind farm over the period of its performance. The utmost important piece of information is determining the expected generation of energy from the power plant and ultimately how much cost effective it will be. In our study we have proposed a new method, the improved mixture Weibull distribution produced from the combination of two and three parameter Weibull distribution with six parameters which include shape, scale, location parameter and the weight component or the mixing parameter. The basic properties of the improved mixture Weibull distribution and the estimation of parameters using maximum likelihood method are discussed. The estimated parameters are used to derive a mathematical model to compute the capacity factor and wind power density.
Performance of an OWC device placed over multi-stepped bottom in random waves environment
Authors: Koley Santanu , Trivedi Kshma 
Published: June 2021

Abstract
The performance of an OWC device placed over multi-stepped bottom is analyzed in random incident waves environment. To model the irregular local wave climate, the Pierson-Moskowitz spectrum along with two different sea states are considered. The effect of chamber width, lip-wall thickness and draft, and turbine damping coefficient of the OWC device on the performance and efficiency are discussed in a detailed manner. It is observed that the OWC device parameters and the local wave climate play a crucial role on the performance and efficiency of the OWC device.
Study on non-linearity response of 4H-SiC APD
Authors: Liu Fei , Huo Feifei 
Published: June 2021

Abstract
UV photon counting detection technology based on 4H-SiC Avalanche photodiodes (APDs) has been widely used in virus inactivation system, quantum communication and other UV detection fields. When the ultraviolet signal is enhanced, the detection accuracy will also decrease due to the nonlinear characteristics of the photoelectric response. Therefore, the physical mechanism and nonlinear error source of the photoelectric response of 4H-SiC APD were analysed, and a photoelectric response characteristic testing system was built. The theoretical and experimental results show that the photocurrent increases linearly when the incident photon number is high, and the multi-photon incident results in the nonlinear phenomenon of photon count. Reducing device bias and increasing threshold voltage can significantly improve the nonlinear phenomenon of photoelectric response, and the maximum linear operating range of the device can be extended from 10 7s -1 to more than 10 9s -1.
A Multi-Sensor Data Fusion Fault Diagnosis Method for Rail Vehicle Transmission System
Authors: Qiao Ningguo , Hou Haijing , Chen Qiang , Zhai Naibin , Peng Tao 
Published: June 2021

Abstract
The transmission system is a critical part of the rail vehicle bogie, mainly responsible for power drive and transmission. The performance of the transmission system directly affects the safe operation of trains. This paper proposes a multi-sensor data fusion method combined with deep belief nets (DBN) and fuzzy integral algorithm (FI) to improve the accuracy and reliability of fault diagnosis for rail vehicle transmission systems. First, multi DBN classifiers are established for the vibration signals collected from the key components of transmission systems to carry out preliminary fault diagnosis. Then, FI is applied to fuse the preliminary diagnosis results of DBNs to obtain comprehensive judgment. The effectiveness of the approach is verified by the bearing dataset collected in lab. This method is simple and practicable, and possesses certain applicability.
Image Classification Method Based on Improved KNN Algorithm
Authors: Fan Zhu , Xie Jia-kun , Wang Zhong-yu , Liu Pei-Chen , Qu Shu-jun , Huo Lei 
Published: June 2021

Abstract
As the development of machine vision technology, artificial intelligence algorithms are gradually popularized for identifying images. However, traditional KNN algorithm actually costs too much time when classifying images, which is not qualified to actual application scenes. An improved algorithm is proposed in the paper. The test time has been greatly shortened and the efficiency of KNN algorithm is improved by increasing the screening of data sets. By setting STM32F103 as master control and OV7670 as camera, actual detection of volleyball, football, and basketball was carried out after test environment was set up. And the test time is shorter compared with that of general KNN algorithm. At the same time, the identification accuracy is high, which indicates that the method has good practicability.
Research progress of smart phone positioning and navigation sensors
Authors: Wen DanQi 
Published: June 2021

Abstract
Smart phone has gradually become an indispensable mobile device in people’s life, and its built-in sensors develop rapidly with the popularity of smart phones. A variety of sensors built in smart phones can provide different positioning sources for indoor positioning, so as to provide convenience for people’s activities in large public places. Nowadays, multisensor indoor positioning technology based on smart phones has become a research hot spot, such as indoor visual positioning technology developed by Google and ibeacon indoor positioning technology based on low-power Bluetooth launched by apple. This paper summarizes the development status of smart phone built-in sensors for indoor positioning, sorts out the new smart phone built-in sensors of several popular mobile phone brands in the current market, expounds the sensors for indoor positioning in smart phone sensors and related positioning technologies, and finally looks forward to the future development of smart phone positioning and navigation sensors in the field of positioning.
The device and experimental study of the monitoring of the layered soil settlement
Authors: Lv Aoqi , Liang JiaXin , Zou Suian , Chen Xiangyang , Li Qing 
Published: June 2021

Abstract
In order to solve the problems of large measurement error, low efficiency, complex equipment operation and difficult maintenance of layered soil settlement, this paper designed a new monitoring device of layered soil settlement based on Hall effect. A number of Hall elements are arranged on the monitoring circuit board at equal spacing, and the circuit board is fixed in the aluminum tube and sealed. The aluminum tube with multiple settlement magnetic rings is drilled into the earth vertically, and the settlement magnetic rings are distributed in different soil layers. The settlement of the soft soil will move the magnetic ring, causing its position to change, which will cause the change of magnetic flux density around Hall element, and the output voltage of Hall element will also change, and then the voltage signal will be transmitted to Hall signal concentrator through RS-485 bus communication mode. The Hall signal concentrator stores the signal in FLASH and communicates with the upper computer through using the LORA wireless communication module. Through data processing and model analysis in the upper computer, the function between Hall voltage and variation of displacement of the magnetic ring is fitted. Many experimental results indicated that the error of the monitoring device of layered settlement is within 1.0567mm, and the accuracy is high. It can provide real-time monitoring to different soil layers, and the data can be exported at any time, so it has a wider application prospect.
A discrete differential evolution for fuel loading optimization of the DNRR research reactor and comparison with genetic algorithm
Authors: Phan Giang T T , Tran Hoai-Nam , Do Quang Binh , Ngo Quang Huy 
Published: June 2021

AbstractA discrete differential evolution (DE) method has been applied to the problem of fuel loading pattern optimization of the Dalat Nuclear Research Reactor (DNRR). A classic strategyDE/rand/l/binwas chosen for the mutation of the DE method. Numerical calculations have been performed based on the core configuration of 100 highly enriched uranium (HEU) fuel bundles with various burnup levels. Comparison of the performance between the DE method and a genetic algorithm (GA) was also carried out. The optimal LPs obtained from the two methods are significantly better than the reference core. DE is more advantageous in exploring search space and approaching a global optimum than GA.
Comparison of the contribution of the photon’s vector and scalar Kaluza-Klein partners in the neutron lifetime
Authors: Du Pham Tien , Viet Nguyen Ai , Dat Nguyen Van 
Published: June 2021

Abstract
A discrete extra dimension of size 11.8 fm would imply the existence of vector X and scalar H bosons as photon’s Kaluza-Klein partners. The massive vector X can be identified with the particle X17 suggested by ATOMKI’s experiment. The particle model of extended photon sector coupled to extended nucleon, electron and neutrino also implies the neutron decay to its Kaluza-Klein partner. There are several different channels triggered by X and H. In this paper ve compare the contribution from them and imply some physical consequences on the parameters of the model.
Investigation of the dependence of multiple recollision on laser wavelength in the nonsequential double ionization process
Authors: Truong Thu D H , Quach Mi A , Nguyen Hanh H , Nguyen Uyen T , Dung Do Hung , Pham Vinh N T 
Published: June 2021

Abstract
This paper investigates the recollision dynamics of the nonsequential double ionization process induced by linearly polarized laser pulses with the three-dimensional classical ensemble model. The results show that the correlated two-electron momentum distribution is contaminated by the double recollision events for sufficiently short laser wavelength. When the laser wavelength increases from near-infrared to mid-infrared, the single-recollision events are more prominent than the double-recollision one. Moreover, the mechanisms governing the nonsequential double ionization process are also thoroughly studied in the case of double-recollision.
The influence of confined acoustic phonon on the Quantum Ettingshausen effect in cylindrical quantum wire with an infinite potential in presence of strong electromagnetic wave
Authors: Ngoc Hoang Van , Anh Nguyen Thi Nguyet , Dien Tang Thi , Bau Nguyen Quang , Nhan Nguyen Vu 
Published: June 2021

Abstract
Based on the quantum kinetic equation method, the quantum Ettingshausen effect has been theoretically studied under the influence of confined acoustic phonon in a cylindrical quantum wire (CQW) with infinite potential in the presence of a strong electromagnetic wave. We considered a quantum wire in the presence of a constant electric field, a magnetic field, an electromagnetic wave (EMW) with an assumption that electron – confined acoustic phonon (CAP) scattering is essential. Analytical results obtained show that the EC depends on the amplitude and the frequency of the EMW in a non-linear way. Besides, the impact of phonon confinement on the above effect characterized by m-quantum number in the expression of the EC. The theoretical results have been numerically calculated for the GaAS/AlGaAs cylindrical quantum wire model. The obtained results show that the phonon confinement contributes to the EC quantitatively and qualitatively. On the other hand m is set to zero, the result obtained is similar to the case of unconfined phonon. Furthermore, by considering the quantum size effect, the values of the EC increases, the position of the magnetic-phonon resonance peak changes, and the number of peak resonant peak increases while the radius of quantum wire declines. These obtained results are different from bulk semiconductor and unconfined phonon case which donates to the theory of the Ettingshausen effect in low-dimensional semiconductor systems.