bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the impact of the characteristics of the road network on the duration of the route
Authors: Poltavskaya J O , Lebedeva O A
Published: December 2020

The “floating” car method using global positioning system (GPS) devices is used to collect data on the duration of traffic on city streets. However, a complete study of the transport network is time-consuming and includes additional financial investments. An alternative source of data collection is the use of rolling stock of public transport. Therefore, this article discusses the relationship between travel time by car and bus. It was found that the travel time of buses is usually more than the travel time of an individual vehicle. The impact of the characteristics of the road network, such as a number of regulated and unregulated intersections, a number of driveways, a number of bus stops, traffic intensity, a number of lanes and a number of turns on the duration of public transport, has been assessed. The results show the relationship between the considered durations of traffic and data from the board equipment of the vehicles of public transport can be used to estimate the duration of movement along the route taking into account the characteristics of the network.
Generation of a dictionary of abstract/concrete words by a multilayer neural network
Authors: Solovyev V D , Bochkarev V V , Khristoforov S V
Published: December 2020

Large dictionaries of abstract/concrete words were compiled for several languages by interviewing native speakers. The Russian dictionary contains only one thousand words. This article proposes a new method for automatic generation of a large (tens of thousands of words) Russian dictionary of abstract/concrete words by using neural networks trained on the Google Books Ngram corpus. Estimates of the quality of the dictionary compiled using this method are obtained. The correlation coefficient between the estimates obtained using a neural network for the level of word concreteness and the estimates obtained based on the native speakers‵ responds is 0.778.
Stochastic model of oxygen adsorption
Authors: Sverdlova Olga L , Kondrateva Larisa M , Ivanova Svetlana V
Published: December 2020

The authors propose a microscopic stochastic model of the process of oxygen adsorption on the surface of a solid object. As a first approximation, the constructed model describes the dynamics of the system in terms of a planar surface coating with oxygen adatoms. A simplified diagram of the adsorbent surface oxidation mechanism is presented in five stages. The reaction conditions are determined by the temperature of the crystal surface and the partial pressure of the reagent in the gas phase. The reaction is considered as a random Markov process with a discrete set of states for a stream of elementary events occurring on a fragment of an ideal square lattice of ferrous sulfide with periodic boundary conditions. For the constructed model, numerical calculations are done using a software solution and the results of computational experiments are presented. The research results analysis suggests that the presented mathematical process model of oxygen adsorption on the ferrous sulfide surface along with the software solution for simulation studies can be used to determine control parameters for various technological processes.
Adaptation of the electronic device design route using Russian software
Authors: Utekhina Nadezhda , Solomatin Artem
Published: December 2020

Today in the development of Russian electronics is mostly using foreign computer-aided design systems (CAD). Because of sanctions Russia is facing a risk of losing access to foreign software products and systems. Since most of the Russian projects are using foreign CAD systems, a sudden switch to national software can cause significant difficulties in production. The transition to Russian software involves rebuilding the design route based on foreign CAD systems, due to the difference of the functionality of programs and file formats of engineering documentation. The purpose of this work is to assess the possibility of switching to Russian CAD systems and adjust the design route in accordance with them. The paper deals with the study and use of modern Russian CAD software, such as “KOMPAS-3D”, “Delta Design”, and “ASONIKA”, using the example of creating a low-frequency amplifier.
Status of the installation and commissioning of the first GEM station at the CMS experiment
Authors: Fallavollita F
Published: December 2020

The foreseen upgrade of the Large Hadron Collider (LHC) will lead to an increase of its luminosity up to 5 – 7 × 1034 cm−2s−1, five times more than the original design value. The CMS muon system must be able to sustain a physics program after the increase of luminosity and maintain sensitivity for electroweak physics for TeV scale searches achieved during Run2. To cope with the corresponding increase in background rates and trigger requirements, the installation of additional sets of muon detectors based on Gas Electron Multiplier (GEM) technology, referred to as GE1/1, GE2/1 and ME0, has been planned. The installation and commissioning of the GE1/1 detectors in the CMS experiment have been scheduled in two separate phases: the first 72 detectors have been already installed together with their services (gas, cooling, low voltage and high voltage) in 2019 and they are undergoing the commissioning phase, while the completion of the station is foreseen in autumn 2020. The author will describe the detector design, the quality assurance and certification path, as well as will present the status of the installation and commissioning, worth its preliminary results and an overview for the complete integration of the GE1/1 project on the CMS experiment.
New Small Wheels for the ATLAS Muon Spectrometer
Authors: Perganti M
Published: December 2020

The ATLAS collaboration at Large Hadron Collider (LHC) has chosen the Large size multi-gap resistive strips Micromegas (MM) technology along with the small-strip Thin Gap Chambers (sTGC) for the High Luminosity (HL) upgrade of the first muon station in the high-rapidity region, the so called New Small Wheel (NSW) project. The NSW is expected to be installed in the ATLAS underground cavern in the current long shutdown. After the R&D, design and prototyping phase, series production MM and sTGC chambers are being constructed. At CERN, the final validation and integration of the modules in sectors composing the wheel is well advanced. The achievement of the requirements for these detectors revealed to be even more challenging than expected, when scaling from the small prototypes to the large dimensions. In this document the main challenges of the project, the adopted solutions and performance results are presented.
Hadronic resonance production with ALICE at the LHC
Authors: Kiselev Sergey
Published: December 2020

We present recent results on short-lived hadronic resonances obtained by the ALICE experiment at LHC energies. Results include system-size and collision-energy evolution of transverse momentum spectra, yields and the ratios of resonance yields to those of longer lived particles, and nuclear modification factors. The results will be compared with model predictions and measurements at lower energies.
Global hyperon polarization in Au+Au collisions at

sNN=27GeV

in the STAR experiment
Authors: Alpatov Egor
Published: December 2020

The Quark-Gluon Plasma (QGP), appearing in non-central nucleus-nucleus collisions is generated with large orbital angular momentum. Spin-orbit coupling aligns spin directions of produced particles with the system angular momentum, through the creation of local vorticity. Properties of hyperon weak decays lead to the way of measuring polarization, that reflects vorticity. The global polarization of Λ and

Λ
¯

hyperons was measured for Au+Au collisions at

s

N
N

=
7.7
−
200

GeV

recorded with the STAR at the RHIC. However, different theoretical approaches are still in need of new experimental input to describe global polarization properly. That’s why it is important to measure the global polarization of different particle species. In this paper, we will report new results of hyperon global polarization (

P

Λ
+

Λ
¯

and

P

Ξ
−

+

Ξ
¯

+

) measurement via different methods for high-statistics Au+Au collisions at

s

N
N

=
27

GeV

.
Directed flow measurement in Pb+Pb collisions at plab
= 13A GeV/c collected with NA61/SHINE at SPS
Authors: Kashirin E , Selyuzhenkov I , Golosov O , Klochkov V
Published: December 2020

We present results of directed flow measurements in Pb+Pb collisions at beam momentum p
beam = 13A GeV/c recorded at NA61/Shine in 2016. Directed flow is measured relative to the symmetry plane of projectile spectators. Measurements are performed differentially relative to transverse momentum, rapidity and collision centrality. We present v
1(p
T) and v
1(y) for protons and negatively charged pions in different centrality classes. The analysis techniques developed as a part of this work will be used for measurements at the future CBM experiment at FAIR and the MPD experiment at NICA.
Elliptic (v
2) and triangular (v
3) anisotropic flow of identified hadrons from the STAR Beam Energy Scan program
Authors: Parfenov P
Published: December 2020

Elliptic (v
2) and triangular (v
3) anisotropic flow coefficients for inclusive and identified charged hadrons ( π
±, K
±, p,

p
¯

) at midrapidity in Au+Au collisions, measured by the STAR experiment in the Beam Energy Scan (BES) at the Relativistic Heavy Ion Collider at

s

N
N

=
11.5

-

62.4

GeV

, are presented. We observe that the triangular flow signal (v
3) of identified hadrons exhibits similar trends as first observed for v
2 in Au+Au collisions, i.e. (i) mass ordering at low transverse momenta, pT
< 2 GeV/c, (ii) meson/baryon splitting at intermediate pT
, 2 < pT
< 4 GeV/c, and (iii) difference in flow signal of protons and antiprotons. New measurements of v3 excitation function could serve as constraints to test different models and to add new information about the temperature dependence of the transport properties of the strongly interacting matter.
Methods for anisotropic flow measurements with the MPD Experiment at NICA
Authors: Idrisov D , Luong V B , Taranenko A , Parfenov P , Demanov A , Truttse A
Published: December 2020

The anisotropic collective flow is one of the important observable values sensitive to transport properties of strongly interacting matter created in relativistic heavy-ion collisions. The performance of Multi-Purpose Detector (MPD) at NICA collider for elliptic flow measurements with Monte-Carlo simulations using collisions of Au+Au and Bi+Bi ions employing several state of the art event generators is studied. Different methods for flow measurements as event plane and direct cumulants are used to investigate the contribution of non-flow correlations and flow fluctuations.
Recent results on top-quark physics by CMS
Authors: Tosi Silvano
Published: December 2020

The article reports a selection of recent results on top-quark physics by the CMS experiment at the CERN Large Hadron Collider. Results on inclusive and differential cross sections, as well as measurements of properties of the top quark, are reported.
Statistical data analysis in the DANSS experiment
Authors: Skrobova N
Published: December 2020

DANSS is a one cubic meter highly segmented solid scintillator detector. DANSS is placed under a 3.1 GW industrial reactor at the Kalininskaya NPP (Russia) on a movable platform. The distance from the reactor core center is varied from 10.9 m to 12.9 m on-line. The inverse beta decay (IBD) process is used to detect antineutrinos. DANSS detects about 5000 IBD events per day with the background from cosmic muons at the level of 2%. Sterile neutrinos are searched for assuming a 4 neutrino model (3 active and 1 sterile neutrino). The exclusion area in the sterile neutrino parameter plane is obtained using a ratio of positron energy spectra collected at different distances. New analysis that uses information about relative counting rates as well as changes in positron energy spectra shapes is described. We present recent results based on 3.5 million IBD events collected at 3 distances from detector to reactor core. The excluded area covers a wide range of the sterile neutrino parameters up to sin2 2θ

ee
< 0.008 in the most sensitive region. The significance of the best-fit point in the parameters space is 1.5σ.
On the quantum inductance of orbiting electron in the hydrogen atom
Authors: Kumar Vineet
Published: December 2020

With the answer of yes, for the question, is the quantity current can be tagged to the minute loop of electron in the atom? Therefore, regard as the minute current loop. The next related question based on the voltage to current proportionality over operators of different so arise, is the quantity voltage for the current can also be mapped out of minute loop? And if yes, then, what is the corresponding proportionality constant be it holds? If the quantum electrical representative of the atom, for instance the quantum inductance is there, then, in what ways and under what conditions it involve with the de Broglie wavelength of the electron? Keeping these questions and all others with the spherical symmetric potential in case of hydrogen atom, here within this paper the atomic- electricity related issues due to the orbiting electron around the nucleus of hydrogen atom obtained and conclude.
Silver nanoparticle synthesis, UV-Vis spectroscopy to find particle size and measure resistance of colloidal solution
Authors: Alim-Al-Razy Md , Asik Bayazid G M , Rahman Raihan Ur , Bosu Rajib , Shamma Shahla Samim
Published: December 2020

It is an important part in nanotechnology to produce nanoparticles with specific properties like particle size or resistance. To produce colloidal silver nanoparticles with specific size and resistance by Turkevich method, it is needed to synthesized silver nanoparticle with various molarity of AgNO3 and concentration of Trisodium citrate. UV-Vis spectrum was taken for the colloidal silver nanoparticle and analysed to roughly measure the particle size. That value was also cross checked by the optical theorem and weighed the resistance of colloidal solution for different parameters.
To study the structure and thermodynamic properties of silicene materials when melting quickly by molecular dynamics simulation
Authors: On Vo Van
Published: December 2020

This paper presents the results of the study of melting silicene by MD simulation with a sample of 6400 atoms. Silicene melting from 300K to 3500K with a rate of 1013K / s. Investigation of energy dependence on temperature shows a jump in the average total energy of molten Silicene at the temperature T = 2500K. The radial distribution function G(r), ring distribution, coordination number distribution, angle distribution, and distance distribution also studied, all show that the phase transition temperature of Silicene is about 2500K. At 3500K, the silicene structure is almost destroyed, but long-term bonds still account for a higher proportion than short-length bonds. The structure is almost homogeneous, symmetrical.
Photoluminescence characterization of some Vanadate based phosphors
Authors: Fartode S A , Shelke Tushar R , Fartode Anoop P. , Dhoble S J
Published: December 2020

Highly efficient new vanadate phosphor A2NaMg2V3O12 (A = Ba & Sr) doped with rare earth element Dysprosium (Dy) was synthesized at high temperature via solid-state method successfully and the formed compound was confirmed by X-ray diffraction method. Photoluminescence measurements revealed that Sr2NaMg2V3O12 phosphor doped with Dy is excited by near ultraviolet light ranging from 300 nm to 380 nm efficiently in order to realize the emission in visible spectrum (in the range 400 nm −570 nm. Ba2NaMg2V3O12: Dy phosphor also showed emission at 569 nm on excitation at 325 nm. Hence this prepared phosphor can find application as a green emitting phosphor in solid state lighting area.
Application of fuzzy combined SVM & graph theory for agriculture productivity prediction
Authors: Prabakaran Gunasekaran , Vaithiyanathan Dhandapani , Ganesan Madhavi
Published: December 2020

A fuzzy integrated support vector machine and graph theory concepts are represents the data models for predicting a production. On this account, it has been used in various platforms such as agriculture, medicine, and various engineering applications. Therefore, the development of new computational development for predicting the productivity of events in terms of farming structure is very significant in agriculture. This method used fuzzy integrated support vector machine and graph theory to perform structural tasks suggested by crop influencing factors. Finally, the results obtained illustrate the advantage of predicting the rate of productivity, in addition to the importance of system recommendations that fail to produce the expected output volume at the time of setup or fail to produce the expected output quantum.
A study on new type of continuous maps in bitopological spaces
Authors: Govardhana Reddy H G , Ittanagi B M
Published: December 2020

A new type of continuous maps in bitopological spaces are introduced. The comparative study between these maps with existing maps in bitopological space is shown in the figure. Also, basic properties of these maps are discussed.
A numerical study on inverse quadratic optimal shape parameter in interpolation problems
Authors: Chanthawara K , Kaennakham S
Published: December 2020

The main purpose of this work is to shed more light into the inverse quadratic radial basis function (RBF) in the application of interpolation. This RBF contains a parameter that plays a crucial role in determining the final result quality. Five strategies of variable shape parameters are numerically investigated. Both types of node distribution; normally and scattered, are considered. It is discovered that good results can be obtained when using some strategies particularly in 1D problem. Challenges become appearing when dealing with 2D and deserves further study.
Equi-prime intuitionistic fuzzy ideals of nearrings
Authors: Murugadas P , Vetrivel V
Published: December 2020

The aim of this paper is to introduce the notions of equi-prime intuitionistic fuzzy ideal of a near-ring. We characterize these intuitionistic fuzzy ideals using level subsets and intuitionistic fuzzy points.
Safe Eternal m - secure sets in Graphs
Authors: Reji Kumar K. , Satheesh E.N.
Published: December 2020

An eternal 1-secure set, in a graph G = (V, E) is a set D ⊂ V having the property that for any finite sequence of vertices r
1, r
2,…,rk
, there exists a sequence of vertices v
1,v
2,…,vk
and a sequence D = D
0, D
1, D
2,…, Dk
of dominating sets of G, such that for each i, 1 ⩾ i ⩾ k, Di
= (D

i-1 − {vi
}) ∪ {ri
}, where vi
∈ D

i−1, and ri
∈ N[vi
], where ri
= vi
is possible. The cardinality of a smallest eternal 1 - secure set in a graph G is called the eternal 1 - security number of G. This situation can be interpreted as defending an attack at the place ri
by moving a guard from vi
to ri
, where guards are deployed at the places, which are represented by the vertices in D

i−1. An eternal m - secure set is defined in a similar way with only one exception that in response to an attack more than one guards can move to its adjacent locations to defend an attack. A vertex is safe eternal m - secure if it is either adjacent to exactly one vertex in an eternal m - secure set or present in the set itself. In this paper we study some properties of safe eternal m - secure sets. Safe eternal m - security number (σsm
) is the minimum cardinality of all safe eternal m - secure sets in a graph. We also find the safe eternal m - security number of some classes of graphs.
Interleaved high power improved two-stage flyback inverter for photovoltaic applications
Authors: Kavathekar Gajkumar R , Patil Manoj D
Published: December 2020

The interleaved flyback converter is used to increase the power level and decrease the current ripple, Harmonics, passive component size, and total cost. The topology of flyback is used for lower output power in micro inverters. The flyback converter in this paper is designed for high output power. The grid is developed based on the interleaved topology of flyback converter, which is connected to central type photovoltaic inverter. The principles of the converter operation are discussed in detail. In MATLAB software the designed converter is simulated. Dual-stage flyback converter interleaving is being investigated for flyback inverter design rated at 01KW. The conversion system is run in DCM, providing a quick, easy to monitor dynamic response and no losses due to switchover action. As 90.16 percent, 3.9 percent and 0.998, the proposed efficiency of flyback inverter, total harmonic distortion, and the power factor were calculated.
Design and analysis of a three stage CMOS op-amp using indirect feedback compensation
Authors: Kumar Kandi Praveen , Vaithiyanathan D
Published: December 2020

With the rapid change in CMOS technology, the scaling has resulted in faster transistors. But the rate of decrease in threshold voltage is too low. The intrinsic gains from the transistors is diminishing and hence the open-loop gain. This led to paths for the techniques like vertical stacking which is not well suited for low power designs and has constraints on swing. Thus, horizontal cascading must be used to achieve higher gains for the op-amp at lower VDD. This paper presents a simple three stage class A op-amp using Indirect Feedback Compensation. The op-amp has been designed and simulated at 180nm process and it produces an open-loop gain of 84.7db, 45.65MHz unity gain frequency, 89° phase margin and 14.45V/μSec SR and it is capable to drive a 30pF load.
Degradation studies of electrical, physical and chemical properties of aged transformer oil
Authors: Siva Sai R , Rafi J , Farook S , Kumar NMG , Parthasarathy Meera , Ashok Bakkiyaraj R
Published: December 2020

Transformer is crucial equipment in the transmission of electric power. Various types of insulating materials used in the transformer among those mineral oil or transformer oil is used for the insulation. To reduce the failure percentage of transformer it is necessary to maintain the purity of oil. This paper investigates work on different properties of aged transformer oils and pure transformer oil. The aged oils are taken as filtered and unfiltered after using in the transformer. The electrical, physical and chemical properties are investigated for pure and aged transformer oils. UV-spectroscopy is used to test the quality of oil based on the absorbance value and FTIR analysis is performed to determine the functional groups existing in the pure and aged transformer oils. The results showed that breakdown strength is less for used transformer oil due to formation of acidic functional groups. The absorption peak is high for unfiltered oil followed by filtered oil and pure oil.
Performance analysis of double tail dynamic comparators
Authors: Sonar S , Vaithiyanathan D , Mishra A
Published: December 2020

Low power high speed and high precision comparator circuits are studied. Dynamic comparators are key building block for the implementation of analog to digital converters, sense amplifiers. High precision, low voltage operation, lower power consumption, high speed, less offset voltage and more reliability and are some of the important factors in designing the dynamic comparators. Since one circuit cannot provide all the mentioned properties, attempt is being made to study the performance of some dynamic comparators and compare their properties to ease the selection of suitable comparator circuit depending on the application. The circuits were rebuilt using GPDK (General Purpose Design Kit) 180nm CMOS technology in Cadence virtuoso tool.
Wide band rectangular wearable microstrip ring antenna with textile substrate and its performance after washing
Authors: Roy Pritam Singha , Guha Moumita , Roy Chandan Sinha
Published: December 2020

In this paper introduced a wearable wideband rectangular microstrip patch antenna, fabrication and measurement of different parameters of designed antenna. The textile cotton material was used as substrate in the designed antenna. Here the very thin layered copper material sheet was selected as a ground plates and radiating elements. The conductive copper sheet was mounted on the textile materials by synthetic adhesive. We designed a ring antenna based on ring resonator techniques and measured the dielectric constant of the textile substrate material. The variation result of the proposed antenna with variation of thickness of the textile substrate has been investigated. For performance characteristics, three textile antenna with different substrate as wool, jeans and corduroy material are used.
Renewable energy powered DC charging system for electric vehicle
Authors: Jyothi P , Saketh P , Vignesh Ch , Kirthika Devi V S
Published: December 2020

Recently, Electric Vehicles (EV) have pulled in a great deal of consideration attributable to the utilization of clean energy. However, the challenge is that developing number of EVs implies request in charging is tremendous which will aggregate the power grid load. In this paper, a renewable based DC charging system is introduced which integrates power from sun, wind and battery energy storage system (BESS) to provide an uninterruptible power supply for the load. Variable irradiance and wind speeds are considered for this study. Incremental conductance method with boost converter and hill climb method with buck converter are implemented in solar and wind respectively to maximize the system efficiency. Three phase uncontrolled diode bridge rectifier is used to convert the AC power output of wind to DC power. Surplus amount of power generated is preserved in the battery storage system which is retrieved in the absence of renewable sources. A bidirectional converter is designed to allow the forward and reverse flow of power. A controller is designed using PID to limit the discharge current of the storage system. Modelling and validation of proposed system is done using MATLAB Simulink platform.
Single image haze removal using variable fog-weight
Authors: Shoaib Mohammed , Mohsin Mohd , Ansari Imbeshat Khalid , Maddhesiya Harshat , Acharya Upendra Kumar
Published: December 2020

In this paper, a new Image Haze Removal technique is proposed using variable fog-weight. The objective of the proposed technique is to improve the visibility, to remove the impact of weather factors and make image more usable. To achieve this, it is required to estimate the transmission map as well as atmospheric light by using Dark Channel Prior. The main contribution in this work, is to vary the fog-weight during transmission estimation. It is varied according to the density of haze in the input image. If the density of the haze in the input image is low, then lower fog-weight value will be applied and if the haze density in the input image is higher, than higher fog-weight value will be applied, according to the haze concentration. A guided filter is used as a refiner of transmission map to avoid the halo artifacts at the boundary of the edge. It provides smoothness to the image and build-up the visibility of the image, so that we restore a superior haze free image. At last, the performance of the proposed method is compared with some of the existing methods in terms of visibility, computational time and avoidance of halo effect.
A novel reconfigurable G shaped patch antenna for wireless IoT applications using BAR64-02W PIN diode
Authors: Vamseekrishna A , Madhav B T P , Rammohan B , Tanna Rajesh
Published: December 2020

In this paper, a novel reconfigurable antenna for wireless IoT operations is proposed.The antenna dimensions of 27.5 x 8 x 0.8 mm3 and fabricated on the FR-4 dielectric substrate with a hlaf ground plane. The desined antenna works in the frequency range of WiMAX, I.S.M. and X band (3.2-3.8 GHz, 5.2-6.9 GHz, and 7.1-10 GHz). The frequencies can be reconfigured by one P.I.N. diode BAR64-03W, and antenna attained the gain ranging of 2.84-3.26 dBi. The proposed antenna has bidirectional radiation at higher-frequency bands and unidirectional at lower frequency bands. The suggested frequency reconfigurable antenna has a radiation efficiency of 96.12% at 3.5 GHz and 94.34% at 5.9 GHz,92.02% at 8.4 GHz in ON state. Antenna giving the best agreement between the measured and simulated results (C.S.T. Microwave Studio)
Dynamic torque response improvement of direct torque controlled induction motor
Authors: Kumar Dasari Deekshith , Praveen Kumar N
Published: December 2020

Induction motor is extensively being used with variable frequency drive (VFD) in variable speed service. Direct Torque control (DTC) of induction machines is simple compared to the Field oriented control (FOC). Although DTC has advantages there are some disadvantages like torque ripple is high, switching frequency is variable. This paper proposes a dynamic over modulation strategy which can be implemented in DTC to improve the dynamic response and to reduce the torque ripple. The objectives are achieved by switching voltage vector that produces the most tangential component to the circular flux locus. The principle advantage of the proposed technique is its effortlessness, since it requires a minor change to the conventional DTC-hysteresis-based structure. 80% reduction in torque ripple and 40% improvement in dynamic response are achieved in the proposed method compared to conventional method.
A Microstrip Patch Antenna with Enhanced Bandwidth for Millimeter Wave 5G Application
Authors: Balachandran Pooja , Nidadavolu Avinash , Kumar Om Prakash , Vincent Shweta , Ali Tanweer
Published: December 2020

The cellular network of 5G works in the centimeter wave (3-30 GHz) and Millimeter-wave (30-300GHz). Here worldwide a vast amount bandwidth remains unused. A new microstrip antenna of dimension 10 × 10 × 1.6 mm3
has been designed and simulated using HFSS for Millimeter wave (MMW) applications, in this paper. The proposed antenna shows wide bandwidth, stable radiation patterns, and enhanced reflection coefficient at 24.5 GHz for possible 5G use. It shows impedance bandwidth of 2.05GHz(23-26 GHz) with a maximum gain of 6.32 dBi.
Reduced switch z-source multilevel inverter using constant boost control methods for renewable energy sources
Authors: Nagaraja Rao S , Rohith H M , Kiran Kumar B M
Published: December 2020

This paper presents single phase seven level Reduced Switch Z-Source Multi-level Inverter (RSZSMLI) for Renewable Energy Sources (RES). The performance ofRSZSMLI topology is analysed using Constant Boost Control (CBC) methodsbased on sine reference and third-harmonic reference Phase Shift Modulation (PSM) techniques. RSZSMLI will have three DC sources, three Z-source networks, ten power switches and ten main diodes. In the suggested RSZSMLI topology, the output voltage is not limited to summation of DC input voltagescompared to traditional Multilevel Inverters (MLIs).The output voltage can be amplified with shoot-through ratio (K) of Z-source network.Hence, additional DC to DC converter is not required and the topology is more immune to short circuit. The RSZSMLIis analysed using two CBC methods with variable shoot-through ratio (K) to gain additional boost capability. The performance of the RSZSMLItopology is validated with simulation results using MATLAB/SIMULINK.
Evaluation of chemical composition and appraisal of groundwater appropriateness for drinking and agricultural practice in rural areas near Rania city of Haryana state, India
Authors: Kumar Parul , Jain Sushma
Published: December 2020

Haryana being the green land of the nation is highly cultivated state with a huge consumption of agrochemicals. The present study area Rania is the agricultural dominated area where the economy mainly depends upon agriculture. The present work emphasizes on the evolution of the hydro chemistry of the groundwater. For this, 30 representative groundwater samples have been collected in the month of May 2017 and analyzed for a number of quality parameters. Based upon the results of the quality analysis, a number of parameters such as Kelly’s index (KI), Sodium absorption ratio (SAR), residual sodium carbonate (RSC) and magnesium ratio (MR) have been considered to evaluate the aptness of groundwater for irrigation. Chloro-alkaline indices and Gibb’s ratios were calculated to understand the hydrochemistry of groundwater. A comparison of the results of the quality analysis has been made with the WHO standards to check the fitness for consumption. Pearson’s correlation coefficient has been used to establish the connection among various parameters.
Foamcrete construction blocks using industrial wastes- A sustainable approach
Authors: Jose Sajan K , Soman Mini , Sheela Evangeline Y
Published: December 2020

There is a wide growth in construction industry in recent years, which is a very important area of concern for all the stakeholders. There is a wide-ranging diminution of natural resources, especially river sand. Also, the current statistics shows that for the production of one ton of cement, there is a discharge of one ton of carbon dioxide, which creates lot of environmental pollution. This has directed the investigators to find a more sustainable solution. Hence this study is oriented towards the development of a new building material in foamed concrete, in which natural river sand is completely substituted with manufactured sand, which is being substituted partially with quarry fine dust, which is an industrial by-product. The production of alternate building blocks using fly ash, GGBS and quarry dust can be very effectively used for the overwhelming construction processes. The consumption of industrial by-products in foamcrete, compensates the deficiency of natural resources, which solves the disposal of the above waste materials and safeguards the nature. With the use of this foamcrete blocks (density less than 1800 kg/m3) as infills, slender sections can be designed for the framed construction works. Correspondingly, the thermal insulation properties of foamcrete blocks make it more acceptable in the present construction scenario. This is an attempt to focus the attention to discuss the utilization of industrial wastes in construction blocks. It has been observed that the construction blocks, made with these industrial wastes, have similar strength and other characteristics as that of conventional bricks. The maximum attained compressive strength is 13.29 N/mm2.
Analysis of handwriting task using electromyography
Authors: Govindhan Anitha , Gnanavel P , Venkat Subiksha , Vigneshvaran B
Published: December 2020

Writing is one of the most important medium for communication which can represent in one of the easiest ways like symbols and sign. Handwriting is one of the most complex activities in human motions which results in major disorders. Handwriting disorder is one of the major problems in humans and hence it should be rectified before leading into major disorders like dyspraxia, dysgraphia and others. This work is a step to identify the writing disorder in early stage by using EMG sensor. It consists of EMG -sensor which measures the muscle potential from two important muscles extensor digitorum and flexor carpi radialis. The electrodes are placed in such a way that it pick up the muscle potential. The extensor digitorum helps in movements of the elbow and wrist where we obtain minimum potential compared to flexor carpi radialis which is just the flexor of the wrist only. So extensor digitorum is the most prominent muscle where we obtain maximum potential because it extents the metacarpophalangeal joint. The prototype is tested against people of two aged groups, one with people aged above 50 years and the other with adult age between 16-30 years including both the genders. They are allowed to write in their own speed of three types slow, normal, fast, of standard sentence at one stretch to obtain better muscle potential without any deviation. The acquired muscle potential shows good results about muscle potential with respect to age while writing. This prototype can be extended to the early diagnosis of handwriting disorder which helps to rectify the neurogenerative disorder before leading into severe complications.
Real-time object detection and face recognition system to assist the visually impaired
Authors: Aralikatti Anish , Appalla Jayanth , Kushal S , Naveen G S , Lokesh S , Jayasri B S
Published: December 2020

The application system presented here is for use in an Android based mobile phone by the visually impaired for detecting objects in their vicinity, which will help them move around safely, without crashing into objects. The detection of objects is done from a real time video taken from the mobile phone camera. People and objects are detected from this video using OpenCV, YOLO and FaceNet. If a human is detected, the system identifies the person. His identity will then be converted into audio and presented to the user. Similarly, objects detected in the vicinity will be presented in audio format to the user.
Student Attendance Manager Using Beacons and Deep Learning
Authors: Mohanasundar M , Thelly Kevin J , Raveendran Pranav , Rajalakshmi S , Angel Deborah S
Published: December 2020

An efficient method for attendance management system is always been a challenging task for any organization varying from schools and colleges. This paper discusses about the attendance management system (AMS) and it's challenges. The paper proposes a student attendance system for schools and colleges using Beacon technology and Deep Learning techniques. The aim of this device is too savvy smart attendance system which includes the removal of issues like intermediary participation (for example proxy attendance for a student by another student). This is accomplished by obtaining live feeds from a fisheye camera at the beginning of each hour, which would be processed by a Convolutional Neural Network in the back end to enable students to choose their heads in the picture provided to them in their interface when they are in beacon proximity. Teachers interface will receive this same picture at the end of each hour to solve any discrepancy after which the data will be stored in a database. Hence, providing a foolproof system and efficient attendance tool.
Market segmentation for profit maximization using machine learning algorithms
Authors: Janardhanan Sruthi , Muthalagu Raja
Published: December 2020

In this present era with growing population, markets play an important role in providing the required and desired utilities to the people. For this it is important to enhance the Customer Relationship Management which can be achieved by segmenting the market utilities by various factors like weekly sales, demand and supply. In this research paper we discover the valuable information that is weekly sales and develop an efficient business strategy model to increase the profitability of the market through supply as well meet the demands of the customers. Our objectives are i) To find the top profitable products of the market across all the branches as well as their correlation with other products, ii) Understand the customer behavior according to the market flow and iii) Forecast the sales using ARIMA (Auto Regressive Moving Average). In this project, as we lack proper information about the customer identity, we use k means clustering which is an unsupervised learning model to cluster the customers according to the weekly sales behavior. Since we concentrate on the Weekly Sales to understand the market behavior, the best method to be applied on the dataset is the moving average technique. Here, we use ARIMA model to get the best results for forecasting as our time series data is considered to be stationary.
Network security prediction model using neural networks
Authors: Venkatesh Raghav , Muthalagu Raja
Published: December 2020

The aim of this paper is to design a robust network security prediction model. The designed model is an intrusion detecting model constructed using neural networks. The intrusion detecting model detects anomaly and misuse-based attacks. Intrusion detecting model also performs three kinds of classification tasks. The tasks include classifying between occurrence of an attack or a normal case, classifying between different attack types or a normal case and classifying between occurrence of a attack or other case. The intrusion detecting model also shows the classification accuracy, execution time and amount of memory usage. The objectives of the intrusion detecting model are high accuracy, low execution time and minimum amount of memory usage. The intrusion detecting model constructed using neural networks, fulfils the objectives of high accuracy, low execution time and minimum amount of memory usage.
Syllable based approach for text to speech synthesis of Assamese language: A review
Authors: Sarma Parismita , Sarma S K
Published: December 2020

In this review article authors are trying to put light on text to speech synthesis of Assamese language using unit selection concatenative speech synthesis technique. Assamese is one of the North East Indian languages spoken by millions of people. This article tries to highlight some major difficulties when developing the synthesizer. The speech units used to concatenate for building the synthesizer is syllable. Assamese is a syllable centric language and syllable based concatenation gives more natural sound. A discussion is done with phoneme and diphone units as well. There is also a short overview on development process of the Assamese synthesizer on festival framework as a part of review. Another challenging task the researchers dealt with is building speech corpus for a low resource language like Assamese.
Faster R-CNN classification for the recognition of glaucoma
Authors: Ajitha S , Judy M V
Published: December 2020

Glaucoma is an optic neuropathy characterized by progressive degeneration of retinal ganglion cells. The early identification of Glaucoma is extremely important as it is detrimental to one’s blindness. In this paper, we present the identification of glaucoma using faster R-CNN which is one of the most well-known object detection neural networks. The proposed method uses artificial intelligence and enhanced deep learning to detect Glaucoma. Faster R-CNN comprises two modules, the region proposal network (RPN), in which the region of object is distinguished on the picture, and a network that enables to classify the objects in the proposed region. We have accomplished the finest output by applying a transfer learning scheme with ResNet50 and VGG16. Using ResNet we have detected Glaucoma with up to 96% accuracy. The test results obtained by making use of two unique publicly available data sets DRISHTI_GS and ORIGA with 751 images demonstrate that this arrangement can be a significant alternative for the computer design aid framework for the large-scale screening programs of glaucoma detection.
Design and development of alternative method for vibration issues in Locomotive Wagon wheels
Authors: Kandekar Prithviraj , Patil Basangouda , Kulkarni Koustub , Kotyal Rahul , Joshi Sudhanva , Patil Arun Y , Kotturshettar B B
Published: December 2020

Locomotive transportation is one of the important sectors in the field of transportation. Hence, passengers’ experience plays a vital role in the improvement of the public transportation. The present research article addresses the vibrational issues that occur due to lack of damping in the public transportation. The study focuses on reducing vibrations in locomotive transportation systems by the use of Anti-vibrational pad (AVP). Various results obtained from the experimentations involving modal analysis, random vibration analysis, harmonic response analysis, and fatigue analysis are validated using Ansys workbench. The study also compares the obtained experimental data with the existing approach. The study resulted in a positive outcome, with the possibility of being able to build a practical and more stable damping set-up in public transportation, which in-turn can improve the passengers’ experience.
Dynamic characteristic of combined viscous and Coulomb damping under varying nature of material and coefficient of friction
Authors: Mathu Ananya , Badr Syeda Roquiya
Published: December 2020

Practically, most systems possess characteristics of both viscous damping and Coulomb damping. A model of combined viscous and Coulomb damping is analysed while taking into account the different nature of materials. Different material contact surfaces exhibit distinct coefficients of friction which has an effect on the displacement response of a vibratory system. The study involves analysis of a linear spring-mass damper system by varying its material parameters, taking frictional force into account. The response in terms of maximum displacement amplitude is examined while varying the values of coefficient of friction. Material parameters such as natural frequency (varied by mass and stiffness each), damping ratio and coefficient of friction are studied. The research is conducted using theory of combined viscous and dry friction damping and graphical observations are made to study the response in view of different surface contacts.
Experimental quality improvement of the application of antifriction coating
Authors: Abdullah Rasheed A , Ihor Shepelenko , Eduard Posviatyenko
Published: December 2020

The paper presents studies aimed at improving the quality of the application of antifriction coatings by finish antifriction non-abrasive treatment (FANT). It is proved that one of the conditions for the formation of a high-quality anti-friction coating is the targeted formation of favorable shapes and sizes of microroughnesses in the operations preceding the coating. The effectiveness of the use of turning when substantiating the creation of the necessary shapes and sizes of microroughness is justified. A procedure for applying an antifriction coating by a friction-mechanical method is proposed, which allows multiple studies on one specimen. For the adopted processing scheme by using the developed devices and methods, the relationship between the geometrical parameters of the micro-relief and the quality parameters of the coating is established, this make it possible to improve the quality of the application of antifriction coatings by FANT.
The research on the dynamics of the three-impulse system of automatic control of water supply to the steam generator when the load changes
Authors: Xakimovich Siddikov Isamiddin , Maxamadjonovna Umurzakova Dilnoza
Published: December 2020

The paper analyses an operation of the typical three-impulse automatic control system (ACS) of the steam generator water supply. A mathematical model has been developed to test its operability for load shedding, allowing you to set maximum deviations of the water level without full-scale tests, without adjusting the operation settings technological protections by the level of water in the drum. Reasons identified static regulation errors when working out internal and external disturbances in the flow rate of superheated steam in a typical ACS. The relevance of modernization of a typical ACS power supply to the steam generator water. Altogether, under all influences, a significant improvement in the quality of regulation was obtained compared to a typical three-impulse automatic power control system. The relevance of modernization of a typical system of automatic control of water supply of a steam generator to eliminate static regulation errors in a wide range of changes loads.