bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the efficiency of equipment repair works based on the random risk process
Authors: Krakovsky Y M , Hoang N A
Published: December 2020

In order to increase the efficiency of equipment repair work it is proposed to introduce an insurance fund that performs two functions: accumulation of payments with different frequency and cost for performing various types of repair work; payment of these works if it is necessary. The random risk process is used for the mathematical description of the insurance fund. This approach allowed us to introduce the indicators of efficiency of repair works as resource-cost risk, numerical average operating time and numerical gamma-percent resource which takes into account the fact of unrealized repair works due to lack of financial resources. A modeling program based on the event approach was created to study these indicators. Experiments based on modeling program allowed us to conclude that both risk values and reliability indicators should be preferred the variant when the frequency of payments to the insurance fund depends on the type of repair work.
On some computational problems of constructing piecewise linear approximations of functions with the Delaunay property
Authors: Plotnikov S , Popov L
Published: December 2020

In the article, we discuss issues related to the construction of a piecewise linear approximation of some function, information about which is limited to its values at given points from some finite set. A wide range of tasks from various fields of knowledge leads to such a formulation. A feature of the approach to the problem under consideration is the application of the Delaunay partition methodology, based on linear programming technologies. The goal is to extend this promising methodology to a more wide class of problems without requiring that the convex hull of the set is bodily.
Investigation of electromagnetic radiation of the control channel of a small-sized unmanned aerial vehicle for attenuation
Authors: Subbotin S D , Zabokrickij A A , Dymova E E
Published: December 2020

An urgent problem of our time is to counteract the illegal use of civilian unmanned aerial vehicles (quadrocopter type). The problem of detecting quadrocopters is related to their low visibility, including in the electromagnetic wavelength range. As a result, it is relevant and appropriate to develop a budget device for countering such aircraft. At the initial stage to achieve this goal, we studied the General principles of control of the civil quadcopter “Xiaomi Mi Drone 4k”, determined its most significant unmasking feature (electromagnetic radiation of the control channel), measured the electrical component of the electromagnetic field from its control panel in order to further calculate the signal attenuation coefficient for detecting the operator of an unmanned aerial vehicle.
Global brain and beyond: a concerted model of interacting networks
Authors: Tikhomirov A , Butin A , Grigorev S , Trufanov A , Berestneva O , Burkatovskaya Yu , Altangerel E , Dashdorj Z , Rossodivita A
Published: December 2020

An advanced concerted network methodology with its qualitative description has been proposed as a comprehensive scope of global brain issues. The model includes multiplets of elements (intermediators, boxes, bouquets, stems, beds, layers, nodes, links-bindings, links-connections, and links-dependencies) in order to formalize interactions of human networks with environment infrastructures. Concomitant practical interpretations of global brain network phenomena become easier and clearer through application of the methodology. It is necessary to note that proposed network approach reflects the nature of domain analysis if compare with graphs focusing on formal specificities.
Non-stationary poisson model of continuously functioning queuing system
Authors: Tsitsiashvili Gurami
Published: December 2020

The study of non-stationary queuing systems is related to their important applications in computing systems. Algorithms for calculating non-stationary queuing systems are quite complex. Nevertheless, the development of modelling of production processes and communications, trade processes and consumer services requires the development of methods for calculating such queuing systems. In this regard, we should mention the currently actively developing state programs ”Smart city”, ”Digitalization of the economy” which require the development and specification of methods for calculating non-stationary queuing systems. Therefore, it is necessary to build non-stationary queuing models in such a way that their calculation would be quite simple and convenient for computing. In this paper, this can be achieved by assuming that the service time is deterministic, the input non-stationary flow of customers is Poisson, and that there are an infinite number of devices that exclude the customers from being in the queue.
Study of the resonances in heavy-ion collisions at NICA energies using the MPD detector
Authors: Riabov V G
Published: December 2020

The short-lived resonances produced in heavy-ion collisions probe the existence and the properties of the late hadronic phase of the nucleus-nucleus interactions. Due to their short lifetimes, the resonance final state yields are sensitive to competing processes of rescattering of daughter particles and regeneration of surrounding hadrons in the dense hadronic phase. The resonances also carry information about strangeness production and hadronization mechanisms. We report the expected properties of the resonances produced in heavy-ion collisions at NICA energies as well as the results of feasibility studies for reconstruction of resonances in the MPD experiment.
Pion femtoscopy in p+Au and d+Au collisions at

sNN=200GeV

in the STAR experiment
Authors: Khyzhniak Eugenia
Published: December 2020

Particle-emitting source appears in heavy-ion collisions. It is important to understand how the emission source size would change with different collision species. It can be studied using femtoscopy technique since femtoscopy allows one to measure spatial and temporal characteristics of the particle-emitting source. In this paper we present one-dimensional source radii of charged pions obtained for p+Au and d+Au collision systems at

s

N
N

=
200

GeV

. Radii dependence on the transverse momentum of the pion pairs will be discussed.
ATLAS measurements of production, decays and spectroscopy of heavy flavour hadrons
Authors: Novotny Radek
Published: December 2020

Recent results from the ATLAS experiment on production, decays and spectroscopy of heavy flavour hadrons are presented. The latest results on CP-violation in Bs
→ J/ψϕ, decays are discussed. Measurements of the inclusive and associated charmonium production are also reported. In addition, searches for pentaquarks with hidden charm and recent results on Bc
meson production and decays are highlighted.
Searching for Dark Matter with the ATLAS detector
Authors: Ilic N
Published: December 2020

The presence of a non-baryonic dark matter component in the Universe is inferred from the observation of its gravitational interaction. If dark matter interacts weakly with the Standard Model it would be produced at the LHC, escaping the detector and leaving a large missing transverse momentum as their signature. The ATLAS detector has developed a broad program to directly search for Dark Matter. The results of recent searches on 13 TeV pp data, giving the details of analysis techniques and improvements used and their interpretation, are presented.
Measurement of the Higgs boson properties using the ATLAS detector
Authors: Arcangeletti Chiara
Published: December 2020

With the proton-proton collision dataset collected at

s

=
13

TeV

with the ATLAS detector at LHC, an integrated luminosity of 139 fb−1 has been achieved and detailed measurements of Higgs boson properties can be performed. The measurements of Higgs boson properties using various decay modes of the Higgs boson is presented. The different production mode cross sections are determined, simplified template cross sections are measured, and interpretations of the results in different frameworks are obtained.
Studies of Ξ
c
baryons at LHCb
Authors: Chubykin Aleksei
Published: December 2020

The LHCb detector at the Large Hadron Collider is one of the best instruments for charmed baryon spectroscopy available today. Due to its unique design and characteristics as well as stable operation of the LHC, the detector enables measurements of rare and suppressed decays with high accuracy. The report is devoted to the recent observations of the suppressed decays of the baryons

Ξ
c
+

and

Ξ
c
0

and search for CP violation in

Ξ
c
+

baryon decays that were performed by the LHCb collaboration.
Neutrino physics with the SHiP experiment at CERN
Authors: Pastore A
Published: December 2020

The SHiP (Search for Hidden Particles) experiment has been recently proposed at CERN to be operated in beam dump mode at the SPS, with the aim of investigating the Hidden Sector searching for long-lived particles in the GeV mass range. The beam dump will be a copious source of hidden particles, together with active neutrinos of all flavours. The SHiP detector is designed to detect feebly interacting particles and to perform precision studies of neutrino and anti-neutrino interactions, too. In five years run 2 × 1020 protons on target will be delivered, leading to the first direct observation of tau anti-neutrinos. The

v
¯

τ

and vτ
deep-inelastic scattering cross-sections will be evaluated with a statistics a thousand times larger than currently available. The F
4 and F
5 structure functions, never measured so far, will be also extracted and charm physics studies will be realised with improved accuracy with respect to the past, thus improving the sensitivity to the s quark distribution in the nucleon.This paper will focus on the neutrino physics potential of the SHiP experiment, including its sensitivity to Heavy Neutral Leptons searches.
Carbon Isotopes in the PAMELA Experiment
Authors: Bogomolov E A , Vasilyev G I , Menn W
Published: December 2020

An analysis of the isotopic composition of nuclei in galactic cosmic rays (GCR) in the orbital experiment of the PAMELA collaboration allows us to study the problems of the origin and propagation of cosmic rays in the Galaxy. Due to the high statistical and methodological accuracy, the data of the PAMELA magnetic spectrometer provided significant progress in studying the isotopic composition of light nuclei from H to Be in the GCR in the energy region of ∼ 0.1-1 GeV / nucleon and for the first time made it possible to estimate the contribution of local sources from close ones to the GCR (∼ 100 pc) of recent (∼ 106 yrs) supernova explosions. To date, the isotopic composition of carbon nuclei in the GCR has been measured only for the 13C / 12C ratio in the energy region ∼ 0.05-0.13 GeV / nucleon in the VOYAGER 1.2 space experiment and the upper limit for the 14C / 12C ratio was estimated in the ACE / CRIS experiment for energies 0.12-0.43 MeV / nucleon. In this work, using PAMELA flight data 2006-2014, on the rigidity of the detected nuclei and their speed (time-of-flight analysis and ionization losses in the multilayer calorimeter of the device), an attempt was made to determine the isotopic composition of carbon nuclei in the energy region of ∼ 0.1-1 GeV / nucleon. The half-life of 14C nuclei is 5730 years and can be detected in the case of a supernova explosion in the last ∼ 5 104 years at a distance of ∼ 100 200 pc. The results of isotope analysis of carbon nuclei in GCR (spectra 12C, 13C, 14C and 14C / 12C - ratio depending on the rigidity and energy of the nuclei) in comparison with the existing measurement data will be presented.
Exact nature of Frenkel – Kontorova dislocations in (2+1) dimensional crystals
Authors: Senjudarvannan R , Sudha D , Sasikumar N P , Priyadharsini R
Published: December 2020

In this paper, a ground-breaking method have accomplished on widespread Frenkel - Kontorova model which allocates contemplation of dislocations. Here the innovative exact solitary wave resolutions have been inspected on Frenkel-Kontorova model. The configuration of these families of solutions is show the power, capability, fruitfulness and effectiveness of this new-fangled method. These new-fangled solutions have countless solicitations in the field of physics and other subdivisions of physical science. Acquired outcomes will assist as a very imperative landmark in the knowledge of crystal physics. We also have revealed that the generalized Kudrayashov method is an operative contrivance for large class of schemes of Frenkel - Kontorova model.
Rietveld Refinement of Palladium immobilized on Zn3[Fe(CN)6)2.1.33H2O19.22/SiO2 Nanocomposite prepared by Coprecipitation Method.
Authors: Gupta Ankita , Rohilla Sunil
Published: December 2020

This research article presents the synthesis and Rietveld Refinement of Palladium on the SiO2 doped Prussian Blue compound i.e.Pd@Zn3[Fe(CN)6)2 1.33H2O19.22/SiO2. Synthesis was carried outby wet chemical Coprecipitation method. The X-ray Diffraction (XRD) analysis was applied to study the structural parameters. The refinement of XRD data was done by using Fullprof suit software. For obtaining microstructural parameters, we had done the Rietveld Refinement. It provides parameters like interatomic distance, Wyckoff position etc. The Bragg R factor, Rp value, Rexp value were also calculated. The result of rietveld refinement reveals that the crystal had Fm3m space group geomatry. Applications of Prussian blue were also mentioned in the presented paper.
Effect of rotation and quantum correction on the ionstreaming instability in the magnetized dusty plasma
Authors: Pathan T A , Sutar D L , Pensia R K , Joshi H
Published: December 2020

The present work illustrated the modified streaming instability of the dust acoustic wave under the presence of rotation and quantum parameters. The governing equations of the problem have been demonstrated by using Quantum Magneto-hydrodynamic (QMHD) model along with the Poisson equation for the electrostatic potential. In this work, the growth rate of electrostatic waves has been studied which shows the stabilized condition of magnetized dusty plasma due to rotation and quantum parameters. In addition, the threshold condition of ion-dust drift waves is also investigated.
Chitosan encapsulated ZnO nanoparticles for labeling applications
Authors: Senthilkumar O , Senthilkumar K , Revathi C , Morito S , Ohba T , Sato M , Fujita Y
Published: December 2020

Chitosan (CS) encapsulated ZnO nanoparticles (NPs) were prepared in an aqueous phase at pH 7. Chitosan was initially attached with glycine to make it water-dispersible. The product was precipitated as micro gels by stirring with methanol and poly ethylene glycol mixture at pH∼7. FTIR spectra showed a characteristic peak for the amide functional group, which had confirmed the substitution reaction. The peaks corresponding to the presence of glycine and PEG were also observed. ZnO NPs were dispersed in water by a separate method after etching with acetic acid. The conjugate was obtained because of the electrostatic interaction between ZnO and chitosan in the solution. The photoluminescence spectrum exhibited the quenching of the characteristic excitonic peak of ZnO at 380 nm, but showed a new peak around 413 nm for the chitosan-ZnO conjugate.
The microstructure of liquid Lead Silicate under PbO content
Authors: Dung Tran Thanh , Quynh Truong Duc , Yen Nguyen Van , Dung Mai Van , Tuan Nguyen Manh , Vinh Le The
Published: December 2020

The structural characteristics of liquid lead silicate xPbO(1-x)SiO2 are performed by means of molecular dynamics simulation at ambient pressure using the Born-Mayer pairwise potentials. The simulations have been performed on the systems which include different samples with a large range of PbO content ( 0.05 ⩽ x ⩽0.75). The short and intermediate range order in liquid xPbO(1-x)SiO2 have been analysed via pair radial distribution function (PRDFs), coordination distribution, angular distribution and bond length distribution. Calculations show that most of the basic structural units in liquid lead silicate network are SiO4, PbO2 and PbO3 at low ratio of PbO and SiO4, PbO3 and PbO4 at high ratio of PbO. The distribution of O-T-O bond angle and T-O bond length (T is Si or Pb) in SiO4, PbO4 and PbO5 basic structural units are slightly changed when PbO content increase. In intermediate range order, the topology structure of OTy linkages (y=2,3,4) is also investigated in detail.
Structural, optical and morphological studies of SILAR grown ZnO thin film and double coated CBD grown ZnO thin film
Authors: Navya N , Ribin K K , Naseema K
Published: December 2020

The Zinc oxide thin films were produced on glass substrate by using SILAR and CBD methods. The structural, optical and morphological properties of the films were investigated by X- Ray diffractometer, UV-visible spectrometer and scanning electron microscopy respectively. The XRD pattern shows that in both the samples preferential growth orientation is along (0 0 2) plane. The optical band gap was found to be 3.31eV for SILAR ample and 3.18eV for CBD grown sample. The morphology analysis shows that the particle size in SILAR grown sample was high. A vertically aligned nanorods were obtained in CBD grown sample.
Soft error study on junctionless silicon nanotube FET based 6T SRAM cell
Authors: Durga G , Srinivasan R
Published: December 2020

In this work, the response of Junctionless Silicon Nanotube FET (JL SiNT FET) to the heavy ion irradiation and the soft error performance of JL SiNT FET based SRAM circuit are investigated using 3D numerical simulations. The impact of single event transient (SET) is studied at different locations of junctionless SiNT with different incident angles to identify the sensitive location of the device. After SET analysis, JL SiNT FET based 6T SRAM cell is studied for single event upset (SEU). Heavy ion study of JL SiNT FET is compared with junction based SiNT FET. The simulation result shows that the threshold linear energy transfer (LETth) of JL SiNT FET based SRAM is approximately three times lesser than the junction based SiNT FET SRAM.
Mathematical modeling of automotive catalytic converter for catalytic combustion of the volatile organic compound (voc) methane
Authors: Bedi Umang , Chauhan Sanchita
Published: December 2020

Monolithic catalytic converters are used to minimize the emission of air pollutants to the environment. Volatile organic compounds (VOCs) are seen to be released in considerable amounts from these catalytic converters during the warm-up period. In this paper, the conversion of a slow oxidizing volatile organic compound (VOC) methane is analysed with numerical simulation using a noble metal catalyst (Pt/δ-Al2O3) and metal oxide catalyst CuO/δ-Al2O3. The transient, one-dimensional monolith model is developed using gas-phase energy balance, solid-phase energy balance, and gas-phase mass balance. The unsteady state analysis consists of a system of partial differential equations (PDEs). These equations are solved using an Implicit Scheme with the help of Matlab software. The conversion of methane is analysed with reaction temperature for both Pt/δ-Al2O3 catalyst and CuO/δ-Al2O3 catalyst. Also, the effect of the ageing of catalysts on catalytic converter performance was analysed.
Cost prediction using gradient descent algorithm
Authors: Chandrashekhar A , Desai Urvin , Abhilash P
Published: December 2020

In recent days booking through web sites has become very prominent. Almost 70% of bookings or transactions are happening through online. Of all the sales web sites housing websites has become a great platform for sales. Different companies provide different services like selling new house, house rentals, sale of used houses etc. Price matters a lot in any sa les. As houses are one time buy in the life for most of the Indians, they do a lot of research related to price, area and facilities while buying a house. The first thing common middle-class person looks at is the price based on their requirement. Integration of Machine learning algorithm to these web sites or application can be a great advantage. This can reduce the manual effort of sending quotations or negotiations. Presently we see many web sites which give us the details regarding the houses and their prices, but a person must invest more time to search the house which fits his necessities and budget. By integrating a machine learning algorithm into these websites, it helps the user just to sort his necessities and saves his time. In this paper the usage of this algorithm is explained practically and how the functionality can help improve the deliverability of the application is also discussed.
A Method of Descriptions for Graph Labelings
Authors: Uma Maheswari G , Umamaheswari M S , Muthusamy Ramya
Published: December 2020

Labeling the graph is the most essential method in graph theory, we develop a rule for some graph labeling instead of labeling functions of a graph elements which arrives the same result as in the graph labeling. Labeling is an allottment of digits to the vertex (dots) or edge (lines) or the two under certain conditions, most popular labeling method trace their origin called functions (labeling). Labeled graphs provide mathematical models called mathematical functions f : G → X. The graph labeling of a graph variables are used in various area such as resolutions in the subfield of matrix theory and cryptography to mention a few. Here we develop a rule graph labeling and it is very useful in the field of coding theory.
Investigation on the musical features of carnatic ragas using neutrosophic logic
Authors: Anitha Raghunathan , Gunavathi Kandasamy , Shadrach Finney Daniel
Published: December 2020

Carnatic music is rich in its own style but more complex in the way the notes are arranged and rendered. Each Carnatic raga possess definite rules to be followed to frame its musical notes. But the significance of musical notes arrangement of the Carnatic music is unknown. This paper provides an attempt to find the significant relationship between the combinations of musical notes with the musical parameters. The objective of this work is to find the influence of various musical parameters on the Carnatic raga notes using Neutrosophic Cognitive Maps (NCMs). An analysis is made and the influences of musical parameters are cross checked with those of the Neutrosophic Cognitive Maps (NCMs). The values of the musical features of each raga are obtained using MIR MATLAB Toolbox.
Design and development of an Hexacopter for fertlizer spraying in agriculture fields
Authors: Susitra D , Annie Elisabeth Jebaseeli E , Chitturi Venkata Kishore , Chadalavada Vineet
Published: December 2020

The substantial advancement in drone technology has paved way to its implementation in agriculture. This has led to smart farming UAV’s that are implemented in many areas of agriculture. Smart farming employs drones right from sowing of seeds, crop monitoring, application of pesticide, fertilizer spraying, assessment of crop’s growth and so on. This paper describes the design of an hexacopter platform for fertilizer spraying purpose in the agricultural fields with a payload of 1kg approximately. The hexacopter is equipped with a payload which consists of water pump, tank, nozzles and a controller. Based on user’s instruction, the controller controls the operating status of the pump and monitors the condition of the drone during flight mode. When the battery is about to drain, the drone is automatically landed to the initial position. When payload is attached the flight time of drone is about 15 minutes.
Automatic shedding of non prioritized loads for reduced energy consumption in smart grid system using solar photovoltaic and electric vehicles
Authors: Revathi R , Senthilnathan N , Kumar Chinnaiyan V , Sevugan Rajesh J
Published: December 2020

The integration of solar Photovoltaic (PV) and Electric Vehicle (EV) in the grid connected system reduces the overall energy consumption in residential application. The Energy Storage Systems (ESS) is incorporated into the system for better reliability of the grid connected system. Demand Side Management (DSM) is proposed to balance the mismatch between load demand and generation level. The controller switches the loads as and when required, according to the generation of PV power for optimizing the stability of the power system. EV acts as load, whenever the charge of the vehicle is low, as source, when the vehicle is fully charged. A case study of house hold application is simulated using MATLAB Simulink and the model is analyzed by continuously changing the grid and PV panel parameters.
Air pollution monitoring system in semi enclosed building for agricultural sector
Authors: Nurulain S , Najib M S , Lewis E , Salim M R , Manap H
Published: December 2020

This article explains about the development of an optical sensor system to detect and measure ammonia emission in the agricultural field. At initial stage, an open path optical technique where a cylindrical chamber is used to detect low concentration of ammonia in the UV region. The methodology describing the working principle of the sensor and the wavelengths combination technique to enhance the Lower Detection Limit of the measurement. The result demonstrates that the developed optical sensor is able to measure ammonia concentration at around 212 nm. It also shows that by combining intensities at 2 adjacent wavelengths, the Lower Detection Limit has been improved to 2.25 ppm and 1 s response time is retained. Then the system is tested to monitor ammonia pollution in the cattle barn in Tipperary, Ireland. It shows that the developed system is able to detect and measure very low ammonia concentration which is below 2 ppm.
Experimental investigation of power generation in a microgrid hybrid network
Authors: Qasim Mohammed A , Velkin V I
Published: December 2020

The hybrid integration of small-scale wind and solar energy conversion systems can be used for on- and off-grid applications. This paper investigates a stand-alone off-grid application of a hybrid small-scale wind turbine and photovoltaic (PV) cell microgrid to supply houses in rural Iraq far from the utility grid. Experimental investigations were performed to measure wind speed and solar radiation, as well as the DC voltage in the rectifier section of a small-scale permanent magnet synchronous generator (PMSG) wind turbine and the DC voltage in a PV cell for 24 hours. The results showed that using a small-scale hybrid wind and solar generating system for off-grid applications in Iraq is possible if the components are equipped with proper charge controllers that perform maximum power point tracking (MPPT) during wind speed and solar radiation fluctuations.
An energy efficient multipliers using reversible gates
Authors: Radha N , Maheswari M
Published: December 2020

The known advantages of Reversible gates namely reduced power consumption and low latency found useful in Quantum computing. Its low power consumption and quicker operation makes them to be useful in applications Microprocessors, DSP processors and Quantum computers. Numerous reversible gates have been found in literature. This article focuses the implementation of 4 bit multiplier with the help of reversible logic gates. Array multiplier is chosen for our choice. Toffoli gate is chosen for partial product generation. The accumulation of partial products is carried using three topologies. The first topology uses reversible carry look ahead adder. The second topology uses parity preserving reversible carry look ahead adders. The third topology uses modified parity preserving reversible carry look ahead adders. The energy efficient multiplier’s topology proposed in this article implementation are done using Cadence 180nm technology. Performance evaluation reveals that the proposed reversible gate based multiplier results lesser power consumption and also a quicker one. It results that the proposed topology consumes 52.03% lesser power, topology 2 consumes 63.02% lesser power and topology 3 consumes 63.79% lesser power when compared with an existing reversible multiplier design. As the power consumption is the dominating quantity in VLSI design, the proposed topologies of multiplier design results better performance. The achieved area occupation of the proposed topology 1, topology and topology 3 are also 58.44%, 61.90% and 69.26% lesser respectively when compared with that existing reversible multiplier. Its quicker operation is also achieved by the reduction in propagation delay. Hence the proposed multiplier topologies named as an energy efficient multipliers.
TCAD based study of parameters affecting the electrical performance of organic thin-film transistors
Authors: Singh Abhishek , Singh Manish Kumar
Published: December 2020

Field effect transistors (FETs) are widely used in integrated circuits of electronic devices. Mostly silicon-based FETs are used for commercial purposes, but with the recent advancement in organic electronics – organic thin-film transistors (OTFTs) have become trending research topics nowadays. Modeling of organic FETs helps in understanding various electrical characteristics of the device such as on current, threshold voltage, off current, on/off ratio, and so on. Optimization of these factors is needed to enhance the working and overall performance of thin-film transistors. In this paper, the comparative study of the device having bottom-gate with electrode contact on top and bottom of organic semiconductor has been done based on the effects of organic semiconductor's thickness variation, dielectric thickness variation, and dielectric material variation on pentacene based organic transistors.
CPW-fed conformai ESP antenna for vehicular applications
Authors: Gopi Dattatreya , Kumari Amisha , Talamarla Akul Karthik , Joka Amruth , Monish Sai Krishna N
Published: December 2020

In this work, a new design of a monopole conformal elliptical-shaped patch (ESP) antenna is proposed for vehicular application. The antenna measures 40×60×0.1mm3, designed on the polyimide substrate material. Coplanar Waveguide (CPW) is considered to enhance the bandwidth. The antenna resonates at 4.26GHz, 6.61GHz frequencies, with a bandwidth of 4360MHz (3.35GHz-7.71GHz). The 3D-gains are 4dBi, 4.2dBi for the two resonant frequencies. The radiation characteristics are observed semi-omnidirectional and directional. Bending analysis is also considered to check its compatibility on the vehicular surface. The antenna can be widely used in the field of Vehicular application for its advantages of simple structure, flexibility, and low profile.
Energy management and smart control of home appliances
Authors: Nandhini V , Bharathi K , Giri Shivam , Sowvav S , Suyampulingam A
Published: December 2020

In the twenty-first century, there is a drastic depletion of non-renewable resources and a steady rise in greenhouse gas emission which causes global warming. In this case, it is wise to increase the use of renewable energy instead of non-renewable ones which will reduce the consumption of AC power. Sustainable energy sources like solar and wind are also used to control AC or DC loads, yet the execution is unsteady because of the ecological issues. Hence, it is essential to have a system with various input power sources which could provide power during a power-cut, grid failure and peak demand. It ensures better to maximum energy utilization and also results in a low electricity bill. This paper analyses the battery energy management which is crucial in the lives of the residential consumers by forming a system which can be operated both in grid connected and battery fed modes. To perform switching, it is mandatory to monitor both the input power sources and the loads simultaneously. When the loads are light loads and the charge of the battery is sufficient to drive the load, the loads are driven through the DC source. When the loads are heavy loads or the charge of the battery is less, the consumer cannot rely upon the DC source for driving the load. So, AC source is used to drive the loads. Depending upon the type of load, battery status and grid availability automatic switching takes place between the AC and the DC source.
Study on DC-DC Converter fed Sensor-less Motor Drive
Authors: Mondal Santanu , Bhattacharjee Abhinava , Sarkar Debayan , Chattopadhyay Madhurima
Published: December 2020

Brushless DC motor widely used in different sectors for high efficiency and very low maintenance. The report concerns about the performances of Brushless DC (BLDC) motor with KY and four quadrant converters. Input voltage has been varied for both of them and instantaneously the output voltage is recorded along with the theoretical value. The simulation of the converter circuits have been made using MATLAB/Simulink platform. The parameters of the BLDC motor under argument are stator back electromotive force (emf), electromagnetic torque and motor speed. An attentive determination has been made to represent the motor parameters in a simply comparable manner for both the converters. Lastly, a conclusion has been drawn on the best outcome of the converter among the two to enable the motor to function efficiently and help us get desirable results when the motor is in operation.
Quad band operated microstrip patch antenna for WiMAX application
Authors: Sundaran Arjun , Joshi Sushobhan , Nidadavolu Avinash , Vincent Shweta , Kumar Om Prakash , Ali Tanweer
Published: December 2020

The paper describes a light-weight monopole planar antenna with a rectangular radiating patch and a slotted ground plane for WiMAX (Worldwide Interoperability for Microwave Access) applications. WiMAX is a wireless broadband communication technology based around the IEEE 802.16 that provides point-to-multipoint wireless networking system and high-speed data across a wide range. The antenna designed for the aforementioned applications shows operation at 2.5 (lower WiMAX) / 3.7, 4.5 (middle WiMAX) / 5.5 (upper WiMAX) GHz with total bandwidth of about 110 MHz / 150 MHz / 160 MHz / 120 MHz. With its appealing characteristics, the planar monopole patch antenna meets the requirements of low weight, low cost, less complex structure and standard pattern of omnidirectional radiation.
Model identification and control of prosthetic leg
Authors: Adarsh S R , Selvakumar S
Published: December 2020

Prosthesis is an artificial device that replaces missing body parts due to trauma, disease / accident. Prosthesis are mainly intended for restoring the normal functions of moving body part. Double pendulum structure is taken into consideration for modelling the system. In this system thigh and shank represents the pendulum links. Hip and knee joints create linkage between upper part of the body through thigh and shank. The muscles of both thigh and shank are initiated by external torques provided by stepper motor at hip and knee joints. The process variable to be controlled in the system is the position of both hip and knee. The work deals with the identification of system model along with the implementation of controllers like PID controller, Sliding mode controller (SMC) and Linear quadratic regulatory (LQR) controller and Linear quadratic tracking (LQT) controller. The results are compared.
Artificial neural network applications in fiber reinforced concrete
Authors: Sangeetha P , Shanmugapriya M
Published: December 2020

The presence of fiber in the concrete increases the mechanical properties of the concrete considerably. This paper presents the application of Artificial neural network to predict the compressive and impact strength of the concrete with varying percentage of glass fiber along with different combination of chemical admixtures in concrete such as super plasticiser, air entraining agent, accelerators, retarder and water proofing agent. In experimental part of research, the specimens were tested to failure in order to measure the compressive strength and impact strength by drop weight method. The compressive strength and impact strength of the Glass Fiber Reinforced Concrete (GFRC) with different combination of admixtures get increased to 12% and 90% respectively as compared with control specimen. The predicted strength was compared with the experimentally obtained compressive and impact strength of glass fiber reinforced concrete. The strength predicted by ANN is very close to the experimental results with minimal error.
Application of seismic isolation for multi-story buildings in moderate seismicity areas like Vietnam
Authors: Nguyen Van-Tu , Vu Ngoc-Quang , Nguyen Xuan-Dai
Published: December 2020

Multi-story buildings are important components of urban infrastructures due to their undeniable advantages. However, their structures are characterized by the mass distributed in height and a great slenderness leading to its earthquake vulnerability. Further, their typical structures designed by the conventional method provide low earthquake resistance. The seismic isolation bearings are considered as an effective solution for the structure located in regions of high and moderate seismic activity. The paper presents the procedure to calculate the isolated building structure located in the moderate seismicity areas such as Vietnam. The bilinear hysteretic model is employed to determine the properties of the isolator through the simplified procedure. Three-dimensional model of a typical 11-story building structure is analyzed to evaluate the effect of the isolator on seismic responses of building. The modal analysis and time history analysis are performed using Etabs V17, with the input record taken according to the earthquake ground motion in Hanoi-Vietnam, calculated by the Vietnamese code. The result shows the high effectiveness of isolator on reducing the seismic effect.
Tribological behaviour of PA6/diborontrioxide composites
Authors: Randhawa Kawaljit singh , Patel Ashwin D
Published: December 2020

PA6 micro composites with different weight percentage of diboron trioxide (B2O3) were fabricated by a twin-screw extruder and analysed for tribological behaviour. The weight percentage of B2O3 were 2, 4, and 8wt% of PA6 matrix. Tribological tests were performed on pin-on-disc apparatus under different loads, sliding distances, and sliding velocities. Results were shown for individual varying parameter as well as with the combination of two and all three varying parameters conditions. Results of the tribological study shows that the PA6 composite with 2wt% diboron trioxide fillers exhibits lowest friction coefficient (COF) and wear rate compare to others and followed by PA6 with 4wt% diboron trioxide filler composite. PA6 with 8wt% diboron trioxide fillers were not found effective in reducing COF and wear rate, infect it increased the COF and wear rate of PA6 and found maximum compare to pure PA6 and PA6 with 2 and 4wt% diboron trioxide fillers.
Comparative analysis of multi storey mono column structures for different plan configuration with same plan area
Authors: Basavaraju S N , Kavitha S
Published: December 2020

Wind load and Earthquake load play an indispensable role in structural analysis. Many research works carried out on analysis & design of single column structures. Being inspirit from the previous works on effect of earthquake and wind load on single column structure, this paper presents effects of six different plan configurations i.e., Square, Rectangular, Circular, Triangular, Pentagon and Hexagon with same plan area (144 m2). Mono column structure with different plan geometry react adversely in contrast to earthquake and wind loads. Modelling, analysis and design of Multi storey mono column structure is done by using CSI ETABS software. Seismic and wind analysis has been done and maximum values of Storey displacement, Storey drift, Storey shear, overturning moment, Storey stiffness and Time period results are manifest in form of figures. The purpose of this analysis is to determine the most effective and vulnerable shape of structure in prone areas. Storey displacement, storey drift values are minimum in circular shape structure in all seismic zones. Storey shear, overturning moment, storey stiffness is minimum in square shape structure, maximum in triangular shape structure. Time period is maximum for mono column structure with rectangular plan configuration.
Vibration frequencies and mode shapes of CCFF rectangular plates simply supported at the free corner. Application to large vibration amplitudes.
Authors: Babahammou Ahmed , Benamar Rhali
Published: December 2020

The linear flexural vibration of a thin isotropic rectangular plate simply supported at the free corner has been investigated by the symplectic superposition method by Rui.Li and al. The purpose of the present study was to establish the efficiency of the Rayleigh-Ritz method (RRM) applied to similar plate problems. Due to its numerical and systematic character, the RRM has many practical advantages compared to the classical laborious analytical approaches and can be extended to investigate the case of geometrically nonlinear vibrations. The trial plate functions used were obtained as products of beam functions with appropriate end conditions in each direction and the point support was modeled by a translational spring with an infinite stiffness. Different cases have been dealt with corresponding to different edge conditions, different aspect ratios, and for several modes. The comparisons made of the solutions obtained with the known solutions of isotropic rectangular plates with one or more point supports show a satisfactory agreement. The nonlinear vibration of various plates with a with point support at one corner have been also examined. The backbone curves based on the SMA have been calculated by Matlab code. The systematic and straightforward method presented can be readily extended to plates with inside point corners.
Creating Global Sustainable Smart Cities (A Case Study of Masdar City)
Authors: Sankaran Venkatanarayanan , Chopra Ashok
Published: December 2020

FMany of the global cities are fast developing into resource-starved ecosystems, inefficient, unmanageable and unsustainable, owing to rising population and industrialization, adversely affecting the economic growth and quality of life, health and well-being of the communities inhabiting these cities. Furthermore, because of increasing urbanization, on the one hand, these cities are grappling with day-to-day challenges of risk and security concerns related to economic, technological and social development; and, on the other hand, they are also battling with environmental challenges related to energy, its source and insufficient availability, given that conventional energy sources such as fossil fuels are fast depleting and at the same time energy requirements to drive the physical infrastructure and economic engine of these already over-populated cities are rapidly escalating – not to mention the environmental threats posed by these traditional finite energy sources notoriously known for their carbon and other greenhouse gas emissions. Abu Dhabi, one of the emirates of the United Arab Emirates, launched The Masdar City which is presently underway and being built in Abu Dhabi by the subsidiary unit of the state-owned Mubadala Development Company. (Halligan. Neil,2019)1 This paper delves into the details of Masdar City which is unique and unconventional in many ways as it embraced information and communication technologies (ICT), more visibly Internet of Things (IoT), for better quality of life and performance of services, for an ecologically-balanced integrated urban development thereby becoming a ‘Smart City’. The city further leveraged this smartness in a domain convergent with ‘Sustainability’ with technology-driven goals related to eco-friendly environment, self-generated energy availability through solar, energy efficiency and other zero-carbon features in subsystems such as transportation, civic utilities, physical infrastructure, water management, waste management and so on. Additionally, this conceptual paper reviews the case of other similar global cities and explores how Masdar can position itself as a sustainable, smart city for others to follow
Machine learning techniques on agro meteorological parameters to predict the crop yield in support of building decision support system to farmer’s community
Authors: Sowmya B J , Seema S , Monteiro Daniel , Hossain Zaid , Paymaster Zubin , Tomar Aditya
Published: December 2020

Over the years, farmer grievances have been rapidly increasing due the barrage of issues that they face on a regular basis. This includes not getting good harvests, shortage of resources, etc. Decision making is an important aspect of farming, as it can improve results tremendously, hence helping farmers. With the rise in technology, and great research in the realm of Data Science, there is an increasing demand for technical solutions for farmers. To solve this, we built a Decision Support System that predicts a crop to be grown based on agrometeorological factors such as rainfall, temperature, and humidity. The system was built using various machine learning algorithms. We compared multiple models, change algorithmic parameters, and decide the best model to be used. This system aims to aid the decision-making process of a farmer, and hence help them gain maximum yield with the knowledge and resources available.
First-principles study on structural mechanical and thermodynamic properties of HfMoTaTiZr
Authors: Bhandari U , Mullamuri B , Thangaprakash S
Published: December 2020

This study calculates the phase diagram of HfMoTaTiZr using the TCHEA1 database in Thermo-Calc software. Furthermore, it also investigates the structural and mechanical properties of HfMoTaTiZr by applying first-principles calculations. The elastic and other mechanical properties such as Young’s modulus, pugh ratio, hardness, bulk modulus was derived and discussed. These parameters were found to be in good harmony with previously available experimental reports. Vickers hardness of HfMoTaTiZr predicted from the Tians model agrees with the available experimental result. This study also investigates the thermal coefficient of linear expansion and vibrational heat capacity of the HfMoTaTiZr using the Debye–Grüneisen theory.
Turbo codes for telemedicine applications
Authors: Santhosh Kumar K B , Sujatha B R
Published: December 2020

Telemedicine is an emerging technology in the area of remote medical services. It involves real-time communication between patients and healthcare providers through electronic equipment for diagnosing diseases. Biomedical signal processing is the process of measurement and analysis to deliver required information for doctors to make decisions. The identification of diseases is made upon collecting the biomedical signals from the patient’s body. Telemedicine concepts can be employed for this method. For remote diagnosis purposes, as the biomedical signal needs to transmitted through wireless media there is a need for efficiently coding them. In this paper, turbo coding is used and is transmitted through the AWGN channel. The performance of BER for different turbo decoding algorithms are compared to obtain error free transmission.
Applying the CBB20 algorithm for twitter analyzed data
Authors: Bagath Basha C , Rajaprakash S , Muthuselvan S , Saisatishsunder P , Alekhya Rani SVL
Published: December 2020

Today’s world has data raised from social media like Facebook and Twitter. In this media used to tweet any topics in the internet world, and to analyze neutral, negative and positive tweets; and to create polarity score. From this score used to predict the opportunity. In this polarity data’s have less security. This data will be hacked easily, and change the data results will make issues, like touching the county financial and product firms. To handle these issues, D.J. Bernstein proposed the family of Salsa that has quicker encryption process; it has ovolo process with better data security. This paper introduced a new methodology is proposed. This methodology has altering the Salsa20/4 to improve the security of the analyzed data. A novel methodology consists of three processes. The 1st process is column operation of the matrix, 2nd process is multiplication of top-secret key, and the 3rd process is shift the diagonal elements. The proposed methodology takes more time and provides inflated data security while compared to Salsa20/4.