bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of structural and dielectric properties of Co-Zr doped Barium M-type Hexaferrites
Authors: Roy D J , Choudhari Y D , Rewatkar K G , Kokode N S , Borikar D M
Published: June 2021

The Samples of Cobalt-Zirconium doped Barium nano-hexagonal ferrites of chemical formula BaFe12-2x(Zr-Co)xO19 (x = 0.5, 0.9) are prepared employing Microwave assisted Sol-gel auto-combustion Route, in which the ferrite materials were generated by providing continuous heat in microwave woven. The precursors in the form of nitrates are taken accompanied with urea as a fuel, supply energy to initiate exothermic reaction during the formation of materials. Uniform heating in the microwave leads to the ultrafast morphological transformations giving rise to a nano-scale particle size of the synthesized samples. The derived ferrites powders being analyzed for their structural and morphological characteristics with the help of X-ray diffraction techniques (XRD) and Transmission Electron Microscopy (TEM). Lattice constants ‘a’ and ‘c’, porosity (p) of the prepared materials were determined. Their d-values are counter checked and (h k l) planes were specified. TEM analysis confirmed the nano-scale particle size of the synthesized samples. The materials have been assessed with Impendence Analyzer for electrical resistivity (ρ). The obtained results suggest that the synthesized samples belong to the family of hexagonal M-type ferrites. A structural observation has verified that the space group symmetry of the prepared materials is P63/mmc. The ferrites samples show high resistivity of the order 107 (Ω-m). Such types of nano-sized ferrite materials with high resistivity are helpful especially for various microwave absorbing applications.
A case study on the electric and dielectric response of ferroelectrics
Authors: Pandey Krishna Kumar , Babu T. , Tiwari Balgovind
Published: June 2021

In this work, the electrical properties of ferroelectric compounds have been reviewed. But the main focus is on dielectric properties of ferroelectrics. Though ferroelectrics are well-known for ferroelectric devices, it is identified that ferroelectrics also have great diversity as dielectric materials. So we have gathered different published articles, and required information from some internet sources. The main theme of this paper is to report the work done on dielectric materials. The dielectric properties presented include the values of dielectric constant at room temperature, maximum dielectric constant, Curie temperature (Tc), etc. The electrical properties reported include output voltage, short circuit current/current density, power density, etc. Also, a basic understanding on the dielectric behavior of ferroelectrics has been presented.
Ion exchange application of HBAE-I resin
Authors: Gupta Amit N , Kalambe A B
Published: June 2021

Ion-exchange resin abbreviated as HBAE-I was synthesized. Abbreviation HBAE-I used for p-hydroxybenzaldehyde-adipic acid-ethylene glycolco-polymer inl:1:3 ratio. The IR, 1H NMR spectrum areused for characterization. Ion-exchange properties found for Bi3+, Sb3+, Zn2+ and Mg2+ ionsover 4 to 6 pH range. Toxic and heavy metal ions such as Sb3+, Bi3+, Mg2+ and Zn2+ are present in industrial effluent and wastewaters. The HBAE-I terpolymer resin are a selective for Bi3+and Zn2+ metals ions at pH 4 and 6 respectively.
Use of copper slag in concrete production – a sustainable solution for solid waste management
Authors: Rajeeth T J , Shah Ashiq Hussain , Makhdomi Shoiab Manzoor , Wani Abdul Naveed
Published: June 2021

In India, the construction activities are increasing day by day and as a result, the natural sand has become scare and costly material. To meet this increase in demand one has to go for excessive mining of river bed and that leads to natural imbalance. Therefore reducing the consumption of natural sand in construction is a major issue considering both the environment and economic issues. To balance the demand one has to go for sustainable unconventional innovative materials and particularly the industrial by products where there mass disposal and solid waste management is the problem. Copper slag is one of the industrial by-product obtained during manufacture of copper. This paper presents the experimental results on concrete made of copper slag. Mechanical properties like compressive strength, abrasion resistance and durability properties like acid resistance were carried out. The test results shows the concrete containing copper slag as fine aggregate has good strength and properties and the copper slag replacement level can be limited to 40-60% (by weight).
Performance evaluation of energy storage system coupled with flat plate solar collector using hybrid nanofluid of CuO+Al2O3/water
Authors: Kalbande Vednath P , Walke Pramod V , Rambhad Kishor , Nandanwar Yogesh , Mohan Man
Published: June 2021

Charging of energy storage system using flat plate solar collector (FPSC) is very popular in recent years. FPSC for the thermal energy storage system (TESS) using hybrid nanofluid was discussed in this manuscript. Hybrid nanofluid of CuO+ Al2O3/water was used as heat transfer fluid (HTF) for solar collector which is coupled with thermal storage and analysis carried out. To predict the thermal performance of energy storage system using hybrid nanofluid, a stainless steel container was used for thermal storage. CuO+Al2O3/water hybrid nanofluid were used to investigate the thermal performance of the solar collector and energy storage system. The FPSC is used for experimental investigation on the stainless steel container TESS. The flat plate solar collector is found more efficient than the other conventional type solar collector using hybrid nanofluid. The temperature of stainless steel container thermal energy storage system was reached to 87°C by using hybrid nanofluid in FPSC.
Influence of Metakaolin and steel fibers on stress strain behavior of concrete
Authors: Chandak Mayuri , Pawade P Y
Published: June 2021

This article describes the effects of different proportions of metakaolin and steel fiber on the stress-strain behavior of concrete. Concrete has become an important part of infrastructure development due to its wide and wide application. However, its brittleness can cause cracking, and cause some deterioration problems and infrastructure failures. Considering the problem of cracking performance, researchers around the world have conducted various studies to develop concrete with higher performance, longer life, and minimized destructive effects on nature. In order to obtain such characteristics, researchers only focus on the improvement of strength. It is observed that the higher compressive strength can make the substitution rate of metakaolin 16% and that of steel fiber 1.5%. Although the published literature provides some theoretical models and a large amount of experimental data on the compressive performance of fiber-reinforced concrete, there are still considerable reservations about the applicability of these models in design. Stress-strain curve is required for correct design and repair. This article introduces the results of compression tests of steel fiber reinforced concrete carried out in accordance with standard procedures, and rigorously evaluates the proposed model to define compressive stress-strain behavior. The reported test was performed on cylindrical specimens of plain and steel fiber reinforced metakaolin with fiber content of 0.5%, 1.0% and 1.5%. The concrete grade considered in this study is M40.
Thermal and dielectric properties of linear p-substituted phenol with Methylene Bridge
Authors: Khobragade Y F , Petkar S A , Kose T D , Chahande N H
Published: June 2021

A novel method is used for the preparation of new linear polymer from p-substituted phenol with Methylene Bridge like –Cl, -COOH, -NO2 etc. and these polymers have been characterized by IR, NMR and TGA method. We have studied the thermal analysis from TG thermogram to obtain the activation energy, structural analysis and effect of p-substituted groups on dielectric constant/loss.
The nature of catalytic species in the Wacker oxidation process-A review
Authors: Imandi Venkataramana , Puri Prafulla , Korde Vivek
Published: June 2021

The catalytic structure of the Wacker process is matter of debate. It is monomer or dimer complex in the Wacker oxidation of ethene. In this paper, we studied catalytic nature of the Wacker oxidation process. We employed rare event technique such as metadynamics simulation. We used Pd-Cu and Pd-Pd dimer complex as the initial structure. Our simulations show that Pd-Cu and Pd-Pd dimer complexes are getting hydrolysed to give monomeric complex. The barriers of Pd-Cu and Pd-Pd dimer complexes to hydrolysis are lower than the reactions with ethene ligand. Hence, the nature of catalytic complex in the Wacker oxidation is the monomeric complex of Pd.
Sudhangsu assay: a scratch of green chemistry for beginners
Authors: Paul N
Published: June 2021

Green chemistry approach is supposed to be the best attempt for saving world from the potential dangers which spread from chemistry laboratory to almost all spheres of society. In school days when budding chemists start doing hands on experiments, in most cases first scratch is done with Lassaigne’s test. The authenticity of this test in detecting special elements is unquestionable. Does this test cross hurdle, when screened through green chemistry norm? Slow generation of lethal cyanide hardly allows this test under the umbrella of Green chemistry. The current communication coined a green protocol termed Sudhangsu assay which comply with green chemistry norm for detection of special elements. Fusion described herein, takes place at a mild condition and products thereby generated, are environmentally benign molecules. In this article a green prescription for detection of special elements is compiled.
Alternative adsorbent to remove Cr (VI) ions from industrial wastewater
Authors: Mandal Naba Kumar , Rao Y R M
Published: June 2021

Heavy metals which are discharged from industries in the environment with wastewater causes serious problems for the living organisms. To save the water bodies from the heavy metal contamination, many treatment processes are there. But most used is Adsorption processes where Activated Carbon is used as Adsorbent. As the activated carbon is costly, the treatment is expensive. So, low-cost alternate adsorbents are to be identified in the present scenario. The locally available agro waste material namely Teak Leaves (botanical name is Tectona Grandis) is used as low-cost adsorbent Teak leaves (TL) with pretreatment have been used to study for their potential use to remove chromium (VI) from wastewater by Adsorption. Contact time, Adsorbent dose, pH, initial Cr (VI) ions concentration and particle size have been studied for batch process. The optimum pH, agitation time, Cr (VI) ions conc. adsorbent dose and particle size were found 2.0, 75 minutes, 175 milligrams/l, 25 gm./l and 150 – 300 microns respectively at the room temperature (30 ± 2° C) and achieved 69.1 % to remove Cr (VI). Whereas, the powdered activated carbon (PAC), the removal was 78% at optimum conditions 2.0, 60 min, 125 mg/l, 15 gm/l and <75 micron respectively. The adsorption equilibrium data was used to fit into, Freundlich, Langmuir and modified Freundlich isotherm. But Freundlich isotherm fitted well compared to other two. A distinct advantage of TL as bio-sorbent is that these are locally and easily available agricultural waste and can be used with minor chemical treatment. This process is cost effective and eco-friendly.
Osmotic dehydration of carrot strips and modelling
Authors: Deshmukh Sheetal D , Gabhane Shubham , Deshmukh Dheeraj S
Published: June 2021

Osmotic dehydration kinetics using parameters moisture loss and solid gain during osmotic dehydration of carrot strips were studied. Carrot strips of 30×10×2 mm size were osmotically dehydrated in sugar syrup of 40°B, 50°B and 60°B. During osmotic dehydration process syrup solution to carrot sample ratio was kept 6:1. The process was carried out at various temperatures 27°C,40°C and 50°C for time period of 15, 30, 60, 90, 120 and 180 minutes. Mass transfer kinetics of the two main parameters of process, moisture loss and solid gain data were studied using five different mathematical models. The models used include Azuara, Peleg, Magee, Power and Penetration Model. Amongst the applied model Azuara’s and Peleg model were found to be best fitted for moisture loss while for solid gain Power law and Magee’s model were found to be best fit.
A Computational Investigation on Aerodynamic Performance of the Cross-Section of a Flying Fish (Cypselurus Hiraii) in Comparison with Conventional Aerofoil Behaviour
Authors: Gayathri B , Ali Nasif , Abhishek B V , Vishnu Kumar G C
Published: June 2021

Bio-mimicry is one of the leading fields of research that has been around since the early ages of science. Aerospace industry, especially, takes most of its design inspiration from the aquatic life. In this paper a breed of flying fish scientifically known as Exocoetidae, Cypselurus Hiraii has been chosen to study. The aerodynamic characteristics of the fish were studied experimentally in a wind tunnel previously, but the plausibility of its design application in the aerospace industry hasn’t been explored yet. Therefore, in the present study the cross-section of the fish in the side view has been traced and its aerodynamic performance as a 2D infinite wing has been examined in ANSYS R15 (FLUENT). The performance of this fish inspired shape has been compared to the properties of conventional aerofoils in terms of coefficient of lift and coefficient of drag.
Santilli’s isofields first-kind based key exchange protocol
Authors: Dani Mamta S , Meshram Akshaykumar , Meshram Chandrashekhar
Published: June 2021

The key exchange protocol (kep) is used to barter whatsoever keys or related information are required, so that no one can replicate it. Conventionally either a reliable courier, diplomatic bags, or some other protected network are needed. The present work put forward, a new technique for designing a foep build on Santilli’s isofields of the first kind is to use rings isopolynomials with elements called isonumbers.
Motion based message carrier for disabled people
Authors: Wansutre D , Lende N , Sangode S , Shahu N , Bhatt M , Thote D , Junewar V
Published: June 2021

We come across many disabled people in NGO’s and hospitals. These people find difficult to convey message as they cannot make full body movement like normal people. Looking at such condition we tried to make a system which can be used to convey messages on behalf of such people. This system give different messages by simple movement of hand of the person. The device is placed on person’s hand so the he can tilt it in particular direction. By tilting the device in different direction in a specified range of angle different messages are displayed. Here an accelerometer is used to measure the tilt. The data from the accelerometer is then passed to the microcontroller. The microcontroller takes the information, process the data and shows the particular message depending on the tilt by the person. The microcontroller send data to a LCD screen and desired message is displayed. On the receiver side along with LCD screen a buzzer is also present and in gets on as soon as it receives signal from the accelerometer. On person’s hand the device consists of an RF transmitter which is used to transfer the data signal in encoded form. On the receiving end the RF receiver gets the data from the transmitter and then decodes it and which is then passed to the microcontroller for reading the data, processing the data and responding to it.
Analysis on energy efficient green cloud computing
Authors: Jumde Monali , Dongre Snehlata
Published: June 2021

Cloud computing offers subscription based storage and resources. Cloud computing provides various services to cloud users. Increased use of information and communication technologies (ICT) has led to increase energy cost as well also increased emission of greenhouse gases like CO2. Since energy is an important asset, green cloud computing comes into picture. Green cloud computing can be achieved by applying various approaches, which uses lesser power as well as emits less CO2 gas, which is hazardous to environment. Energy efficient technologies results in decreased overall energy consumption. There is a need of data centre in almost every field like web applications and businesses which results in producing huge amount of CO2 in environment. To make data centres environmental friendly we need energy efficient approaches which will reduce energy consumption and there hazardous effects on environment. Data is being generated at very high speed so the need of data centres will also increase. Increased data centres will then consume more amount of energy. The main objective of these paper is to reviews various approaches applied by researchers to make energy efficient cloud computing.
Mathematical Modelling of Hover Board
Authors: Sangotra Dilip I , Mendhe Mohan , Kshirsagar Surendra D , Tamboli Ram
Published: June 2021

A self-balancing scooterate (also“hoverboard”, self-balancingsystem on board)is a self-balancing transport system consisting of motorized wheels have pad on which the rider places her or his feet and stands on pad to drive. The driver or a person controls the velocity of Hoverboard by leaning forwards or backwards, and provide direction with a steering command. The study of balancing of a person on Hoverboard can be explained with the help of a complex computer algorithm that stabilizes the under-actuated system. The methodology or The Concepts used for controlling the Hover board mechanism through mathematical modelling can be studied by explaining through kinematic model, the dynamic model (using Lagrange approach) that are presented to control the Two-Wheel personal Balancing Transporter (TWPBT) as follows.
Numerical invariant associated with manifold
Authors: Patne Rohit M , Avachar Gajanan R
Published: June 2021

Let M be a Riemannian manifold of n dimension with the coordinate (x
1, …, xn
). The distance on M are given by first fundamental metrical tensor I = gijdxldxi
, where gij will be assume to be analytic function of x1,…, xn
and let the distance element in this space be given by second fundamental quadratic form II = Ω
ijdxldxi
, where Ω. will be assume to be analytic function of x
1, …, xn
. In 1929, W.V.D. Hodge introduced the theory of harmonic integral. By using the theory of harmonic integral, he gave the topological definition of geometric genus Pg
of a surface. But we have observed that in the theory of harmonic integral, there is no place for second fundamental form of a surface. This motivates us to introduce the new type of differential form by using second fundamental metrical tensor. In this paper, we have introduced the RP-harmonic integral, Modified RP-harmonic integral and Generalized harmonic integral. By using the period matrix corresponding to the RP-harmonic integral, Modified RP-harmonic integral and Generalized harmonic integral, we have studied the numerical invariant of a manifold M. As anologous to geometric genus of a surface, we have defined invariant of a surface, we called as RP-geometric genus Prp
and Generalized geometric genus P
gh.
Bianchi type-I bulk viscous cosmological model with inhomogeneous equation of state
Authors: Rathod Y V , Avachar G R , Samdurkar S W
Published: June 2021

In the present paper we investigate Bianchi type-I Cosmological model with inhomogeneous equation of state (EoS) in the presence of variable bulk viscous fluid(ζ) in the framework of general theory of relativity. In order to find exact solutions of the Einstein’s field equations, we have assumed a special law of variation for Hubble parameter H i. e.

H
∝

1

R
α

. The nature of model is discussed for α ≠ 0 and α = 0. Some physical and kinematical aspects of model are also discussed for both the conditions.
Cosmological model admitting conformal motion
Authors: Muley Manjushree , Nagpure A R , Puri Prafulla , Korde Vivek
Published: June 2021

In general theory of relativity cosmological model of spherically symmetric string cloud has been investigated with respect to electromagnetic field. In present work conformal motion of one parametric group was used to obtain Einstein field equations solution.
Axially symmetric domain walls cosmology in Saez-Ballester theory of gravitation
Authors: Ahmad Anisa , Tade S D
Published: June 2021

In this present research paper, we considered cosmological model in Saez-Ballester [Phys. LettA 113, 467, 1985] theory of gravitation with stiff matter, thick domain walls. Some physical and geometrical aspects of the models have also been discussed
A secured tor local network for nuclear power plant industry
Authors: Vinothkumar C , Rajasekar B , Karavadi Balasankar , Premalatha J
Published: June 2021

The risk of cyber-attacks on a country has grown drastically. The cyber security risks against critical power infrastructure seem to be worsening. Obviously, any sort of assault on an atomic plant is very concerning. An attack that allows hackers to manipulate the system that control a nuclear reactor, while very difficult, could have very serious consequences. The main reason for this attack is vulnerabilities in local computer networks in power plants. Which has direct access to the internet without any major protection against cyber-attacks like phishing attacks against power plant employees, virus injection tools etc., As the main defense against this attacks is to make power plant networks and employees anonymous to the internet and making sure that no one is tracking the employees which can lead to loss of sensitive information of the plant. The Tor onion networking protocol is best suitable for these types of attacks on employees and computer networks in the power plant. Since providing Tor network for individual employee in practically impossible. Our projected work aims to establish an onion router which provide overall coverage of computer systems and employees which has access to power plant inside the perimeter of power plant. To simulate the plant local networks we construct an internet router using raspberry pi which is configured with Tor onion routing protocol access the internet by computers connected to our Router.
Time fractional heat transfer analysis in thermally sensitive functionally graded thick hollow cylinder with internal heat source and its thermal stresses
Authors: Thakare Shivcharan , Warbhe M S
Published: June 2021

The aim of this work is to investigate the time fractional thermoelastic state of a thermally sensitive functionally graded thick hollow cylinder subjected to internal heat source. Convection boundary conditions are applied on the curved surface of cylinder also sectional heating is assumed on the lower surface. The material properties except density and Poisson’s ratio are assumed to be dependent on temperature. Kirchhoff’s variable transformation is used to reduce the nonlinear heat conduction with temperature dependent thermal conductivity and specific heat capacity to linear form. Further the solution of linear form is obtained by using integral transform technique in the form of Bessel’s and trigonometric functions. All physical and mechanical quantities are taken as dimensional for the theoretical analysis whereas for numerical computations non-dimensional parameters are assumed. Numerical results of temperature change and stress distribution are illustrated graphically for ceramic-metal-based functionally graded materials and shown in figures with the help of Mathematica software.
Study of influence of tool geometry and temperature on bone substructure to reduce bone drilling injury
Authors: Dahibhate R V , Jaju S B
Published: June 2021

For multiple piece bone fractures orthopaedic surgeons often prefer bone drilling. During bone drilling (cortical and cancellous) heat is generated. Heat accumulation above tolerance level of bone biomaterial causes permanent bone injury. This leads to delayed restoration period. This can be avoided by controlling drill tool geometrical aspects and in depth information of bone substructure. Among various angles of drill tool, helix angle is very important as it gives way out to bone chip and thereby heat removal from drilling site. Temperature affects bone up to cellular level and so to identify thermal damage, bone substructure has to study. This paper deals with the study of drill tool geometrical aspects that contributes to temperature rise and its effect on bone substructure.
Analytical study on impact strength of steel fibre reinforced concrete
Authors: Lokhande Kaplana G , Uparkar Satyajit S , Vairagde Vikrant S , Kulkarni AshiwiniA
Published: June 2021

In Recent years, there has been an increasing tendency to build resilience to the impact of civilian and military infrastructure due to the increasing number of attacks or calamities. An alternative solution is to improve the impact resistance of such structures is to incorporate different types and dosages of fibres into the concrete that can greatly reduce the damage of concrete structures due to the impact load. This research work focuses on the experimental setup based on Drop Weight Test-Ac1 544. The objective is to build a model for impact energy using variation in plain concrete and fibre reinforced concrete. Furthermore, this research work investigates and describes the impact resistance of fibre reinforced concrete to calculate the reliability of model. Lastly this analytical study is based on testing an experimental model using various mathematical and statistical methods.
Anti-magic Labeling of Card House Graphs
Authors: Joshi G , Nemani S
Published: June 2021

An anti-magic labeling of a finite simple undirected graph G is a bijection from the set of edges E(G) to the set of integers {1, 2,…, |E(G)|} such that the vertex sums are pairwise distinct, where the vertex sum at one vertex is the sum of labels of all edges incident to such vertex. A graph is called anti-magic if it admits an anti-magic labeling. In this paper, we established an anti-magic labeling of Card House Graphs.
Maintenance optimization of goliath crane in supply current cable trolley system
Authors: Barve PS , Mendhe MK
Published: June 2021

Gammon India limited is one of the leading tower companies with exposure in extra high voltage transmission line and distribution projects since 1984. They have in-house facility for design, testing and tower manufacturing capacity (110,000 TPA) and have supplied towers/structure over 6, 00,000 metric tons including 87,000 metric tons to different countries. They are ISO certified for design, testing, manufacturing and turnkey projects. The various types of cranes utilized in transmission Tower Company like goliath or gantry crane, electrical overhead travelling crane and hydra (JCB) to shift unprocessed materials, semi-process and end products from one station to another station. The goliath/gantry cranes are placed in unprocessed and processed yard and it is used to transfer unprocessed materials from raw yard to different machine in machine shop-1 and machine shp-2 also it transfer end products from steel yard to different automobile vehicles like box truck, recreational vehicle, camper etc. The high breakdown occurs in goliath/gantry cranes due to breakage of supply current trolley cable, so high maintenance and production cost is involved and after every two years supply current trolley cable is replaced by new one. In this paper an entire though is given as regards how to optimize breakdown and production loss by implementing bus-bar/current collector system on gantry/goliath crane. The current collector or bus-bar system is employed to provide three phase current to different motors of gantry/goliath crane. This paper presents evolving a maintenance optimization of gantry/goliath crane in supply current cable trolley system.
Gas metal arc welding process parameter optimization for AA7075 T6
Authors: Jaju Santosh B , Charkha Pranav G , kale Mangesh
Published: June 2021

Aluminium alloy 7075 T6 weld joints having size of plates 125 mm ×100 mm × 10 mm experimented to investigate the effects of process input parameters on the thermal, mechanical properties of GMAW. The process input parameters like current (A), heat flux (Q), flow rate of gas (G), speed of welding (S), wire feed rate (F) & shielding gas are affecting the thermal, metallurgical & mechanical properties of weldment. This experimental study aims at developing mathematical models for bead height (HB), bead width (WB) and bead penetration (PB) and investigating the effects of four process parameters This experimental analysis aims at temperature study for selection of process parameter & prediction of the bead geometry. The heat flows during welding process controls the grain size & material properties. The temperature spread is vital in affecting characteristic of weld joint. Transient thermal analysis gives temperature & residual stress distribution at varied mode of heat transfer phases.
Nadi pariksha: IOT-based patient monitoring and disease prediction system
Authors: Bawankar Bhushan U , Dharmik Rajesh C , Telrandhe Shital
Published: June 2021

Nowadays, peoples are suffering from different types of diseases and detection tests for these diseases are costly and it is painful for poor people. In Ancient, Nadi Pariksha is the supernatural technique to recognize the health status of the patient and to approximate the quantity of Tridosha i.e. Vata, Pitta and Kapha in the body which are helpful for detection and diagnosis of diseases. The main aim of this paper is to propose IOT-based pulse examination system which is used to oblige doctors in diagnostic practice for prediction of diseases.
Analysis of drilling fluid flow in the annulus of drill string through computational fluid dynamics
Authors: Joshi Nishant , Khapre Akhilesh , Keshav Amit , Poonia Anil Kumar
Published: June 2021

During an oil and gas well drilling the drilling fluids are pumped through the drill string to cool and lubricate the drill bit. This also serves the purpose of bringing the rock cutting back to surface and serves various other purposes also like pressure control and maintain well bore stability. As the well is drilled the casing are lowed from the well from caving in. This results in a situation where there is an annular flow of drilling fluid where the inner pipe is rotating while the outer pipe is stationary. The understanding of fluid dynamics of such situation is extremely important and detailed investigations are required. Though experimental investigation will reflect the actual behavior but with the advancement is the numerical techniques such experimentation can be avoided with the application of computational fluid dynamics. Therefore, the present study employs the homogeneous model to simulate a single-phase fluid flow and predict pressure loss variation in eccentric vertical annuli as a function of varying drilling parameters: fluid velocity, inner pipe rotation speed
Supply-chain two-warehouse inventory model for deteriorating items on exponential time function with shortage and partial backlogging in inflationary environment
Authors: Rizwanullah Mohd , Verma Sachin Kumar , Junnaidi Maqsood Hussain
Published: June 2021

In this paper, we have developed two-warehouse problem of supply chain system for deteriorating items, where demand is taken as the function of stock with the exponent function of time. The Practical situation of shortage also include due to the shortage of inventory occur so frequently in daily life in the inventory problem of supply chain system. Backlogging case of shortage is also taken into consideration to make the model more concerned with real life situation. Role of inflation cannot be avoided, so we have included an inflation factor in our model too. A sensitivity analysis is given by the suitable example. To justify our result graph between various parameters is also shown in analysis part. Keywords: term, term, term.
Space optimized design of a flywheel for punching press
Authors: Mendhe M K , Jachak S R , Kamble P D , Sangotra D I , Kakde A
Published: June 2021

Flywheel is a mechanical device which acts as a saving bank account where one can deposit extra money and withdraws whenever required likewise flywheel also store the energy when the demand is less and deliver it when the demand is high. It is mounted in between driver and the follower. It act as a energy store. This paper is focused on the use of mathematical modeling of flywheel and space optimized design for punching press. Flywheel has to be designed for a punch which has to make 20 holes/minute in a plate of thickness 12 mm with constrained of space. 1200mm is the limiting value of diameter of flywheel. The flywheel design is based on the space limitations. The various parameters and stresses induced are determined. At the end it is seen that diameter of the flywheel is less than the permissible value therefore design is safe and optimized for available space.
Comparison of effectiveness of models for solvingfuzzy assignment problem
Authors: Thakre TA , Chaudhari O K , RajshriGupta
Published: June 2021

The task of assigning particular task to a particular person can be solved using assignment problem. If the problem is considered under fuzzy environment, then uncertainty can be minimized which is usually involved in human complex problem. There are various modelsfor solving fuzzy assignment problem. In this paper, the triangular fuzzy assignment problem is formulated. It is then solved by the fuzzy Hungarian method, Hungarian and direct method. The results are obtained and comparison of optimal solution among these methods is done for the effectiveness of the method. The method is illustrated by numerical example based on real life data.
Vision system check for authentication of quality of industry automation for detection of system parts using raspberry pi
Authors: Sorte Swati , Patil Wani , Joshi Sonali , Ghutke Payal
Published: June 2021

Typical tasks of vision systems are included in Recognition area of work – object recognition, identification, detection, content-based image retrieval, pose estimation, optical character recognition (OCR), 2-D encoding and decoding, shape recognition technology, facial recognition and many more. The process followed in order to attain these tasks generally follows the same pattern. First step is image acquisition using various types of cameras according to the requirements (light-sensitive cameras, range sensors, ultrasonic cameras and many more) and acquiring pixel intensities corresponding to light intensity or other measures. Followed by preprocessing in order to reduce noise, increase contrast, resample or scaling using filters, histogram equalization, re-sampling algorithms.
A survey on the techniques to find elementary feasible solutions for fuzzy transportation problems
Authors: Gupta Rajshri , Chaudhari O K , Thakre T A
Published: June 2021

To obtain an optimum solution for the fuzzy transportation problem, there is requisite to find an elementary feasible solution. In this paper, a survey is presented on the current methods to get feasible solutions for the fuzzy transportation problems. The methods are also showed with a mathematical example for fuzzy data and a comparative study is also presented.
Analysis of AI techniques for healthcare data with implementation of a classification model using support vector machine
Authors: Jaiswal P G , Gaikwad M , Gaikwad N
Published: June 2021

Artificial intelligence (AI) is imposed to impersonate human cognitive functions. AI Techniques are most popular across healthcare. The motive behind implementing an AI system is to make the system more fast and efficient. Now, AI can assist medical physician for fast and accurate diagnosis of diseases. When the time of deployment of the AI system will come then, systems need to be ‘trained’ for a huge amount of data will be generated from different clinical performance data. Now a day’s data is available in a structured, unstructured and, semi-structured format. For supporting, retrieving results and knowledge from this data, its analysis using different AI techniques are available. This includes machine learning methods for structured data and unsupervised learning for unstructured data which is useful for retrieving features when the outcome for some subjects is missing. In this paper different conventional machine learning techniques used in healthcare, domains is analyzed using different data types. Also, a comparison of different methods used in Artificial intelligence fiction in the healthcare domain is explored. A flow from clinical data creation, through NLP data enhancement and Machine learning data analysis for making clinical diagnosis decisions and its predictions are discussed and implementation using a support vector machine (SVM) on the healthcare dataset consisting of the patient questionnaire isdone.
Quadruple fixed point result in m-metric space
Authors: Gandhi Manjusha. P , Aserkarand Anushri A , Bajpai Kavita B
Published: June 2021

The Banach Contraction theorem is the basis of the theory of fixed points. Many scholars have been working in different directions on the Banach Theorem. Further theorems on coupled, tripled and quadruple fixed points are established. A quadruple fixed point result was developed in this paper for partial order M-metric space using a monotone property. This theorem is the extension and alteration of literary outcomes. An illustration to verify the outcome has been given.

Mathematics Subject Classification: 46T99, 54H25, 47H10, 54E50
Application of hybrid Taguchi-Grey relational analysis (HTGRA) multi-optimization technique to minimize surface roughness and tool wear in turning AISI4340 steel
Authors: Kamble Prashant D , Waghmare Atul C , Askhedkar Ramesh D , Sahare Shilpa B , Singh Brij R
Published: June 2021

In this paper, an attempt is made to optimize the turning process by minimizing Surface Roughness and Tool Wear. The independent l factors used are Environmental Condition, Feed Rate, Depth of Cut, Nose Radius and Tool Types. The dependant factors are Surface Roughness and Tool Wear. Experimentations are conducted on CNC Spinner Lathe machine. AISI 4340 steel is selected as workpiece material. Three different types of Cutting tool are considered for the study. Grey Relational Analysis and Taguchi Philosophy together are used to optimize the process. As per the Taguchi method L27, Orthogonal Array (OA) is finalized for the experimentation. For the computation of the response table and ANOVA table, the Taguchi based data Analysis is used. The Variance Analysis (ANOVA) and S/N ratio (SRN) are employed to find the contribution and ranking of contribution parameters to optimize multiple output parameters.
A nine-point sampling point scheme for twenty node brick element
Authors: Johnson Shyjo , Sivakumar S , Nagarajan D
Published: June 2021

A new sampling point scheme with nine evaluation points were introduced in this research study for twenty noded brick elements. The new sampling points were located inside the brick element at the corners and center point of the 20 node brick element. This integration scheme can be assumed to be an imitation of Gaussian integration scheme. Standard benchmark problems were chosen from the different research works and compared with our proposed scheme. Finally, the proposed integration scheme achieves good results for twenty node brick element on different performance parameters of finite element analysis.
An intelligent system for transforming natural language queries into SQL and its execution
Authors: Kale Swati , Gahse Vinay , Mahatkar Piyush , Ratnaparkhi Ruhit , Dhawale Nakul , Totade Tanay
Published: June 2021

In today’s world information storing and retrieval plays an important role. Database systems play a key role in the new commercial system for information storage. For accessing the data from database, a person who is not having the knowledge of SQL may find themselves handicapped while dealing with the database. This presents a significant limitation in a developing country such as India, because even today, a very large majority of the population does not have the technical knowledge of how to deal with database systems.

In such a case, Natural language processing (NLP) assumes a significant job. NLP is getting perhaps the most dynamic strategies utilized in Human-PC Interaction. It is a part of AI which is utilized for Information Retrieval, Machine interpretation, and Language Analysis. This paper, proposes a system which allows the user to query the database in a compatible mode language, through a convenient Graphical User Interface which results in the data required by the user.
A comparative study of elzaki and laplace transforms to solve ordinary differential equations of first and second order
Authors: Mitra Ankita
Published: June 2021

- Real life problems which can be formulated in differential equations can be solved by different integral transform. In here, we will discuss some formulas and properties of two transform namely Elzaki transform and Laplace transform and will be used to solve the same set of Differential equation and will be compared with each other.
SDG implications of water-energy system transitions in India, for NDC, 2 °C, and well below 2 °C scenarios
Authors: Vishwanathan Saritha Sudharmma , Garg Amit , Tiwari Vineet , Kapshe Manmohan , Nag Tirthankar
Published: June 2021

India needs to address the immediate concerns of water supply and demand, due to its increasing population, rapid urbanization, and growing industrialization. Additionally, the changing climate will influence water resources, which will subsequently impact the overall sectoral end-use demand patterns. In this study, we have integrated a water module with the existing bottom-up, techno-economic Asia–Pacific Integrated Model/End-use energy system model for India to estimate the future water demand in major end-use sectors under business-as-usual (BAU), nationally determined contribution (NDC), and low-carbon futures (2 °C and ‘well below 2 °C’) up to 2050. We also simulate the effects of water constraints on major sectors under different climate-change regimes. Our results show that water-intensive end-use sectors, specifically agriculture and power, will face major impacts under water-constrained scenarios. Over the period between 2020 and 2050, policy measures taken under the NDC scenario can cumulatively save up to 14
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3.7% of the 2000 annual water demand or 2.5% of the 2015 annual water demand.

billion cubic metres (bcm) of water, while low-carbon scenarios can save 20–21 bcm of water between 2020 and 2050, compared with BAU. In a water-constrained future, NDC and low-carbon futures can save 28–30 bcm of water. There is a need to increase the current water supply by 200–400 bcm. The marginal cost of installing dry cooling systems in the power sector is considerably higher than the cost and benefits of installing micro-irrigation systems with solar PV. Integrated policy coherence is required to achieve sustainable development goals, e.g., NDC and Paris Agreement goals, in both water and energy sectors. Concurrently, regulatory and economic instruments will play an essential role in improving resource-use efficiency at a systemic level, to reduce the overall water demand.
Lifestyle Interventions Reduce the Need for Guideline-Directed Antihypertensive Medication
Authors: Hinderliter Alan L , Smith Patrick , Sherwood Andrew , Blumenthal James
Published: June 2021

Background

The 2017 ACC-AHA Hypertension Guideline recommends initiation of antihypertensive drug therapy based on blood pressure (BP) and an assessment of global cardiovascular disease (CVD) risk, but intensive lifestyle modification may lower BP to below recommended thresholds for treatment in some patients.

Methods

We examined the effects of lifestyle modification on calculated CVD risk and on the indications for BP-lowering medications in individuals with untreated hypertension. Participants included 144 adults with BP 130–160/80–99 mm Hg who were randomized to 16 weeks of DASH (Dietary Approaches to Stop Hypertension) diet plus behavioral weight management (DASH + WM), DASH diet alone (DASH), or Usual Care.

Results

The mean age of the study cohort was 52.0 years; the average baseline BP was 138 ± 9/86 ± 6 mm Hg. The 10-year CVD risk, as calculated by the Pooled Cohort Equations, was 5.7%. The adjusted 10-year risk fell to 4.4% in the DASH + WM group and to 5.0% in the DASH arm, but was not significantly changed (5.7%) in the Usual Care controls. The percentages of participants with guideline-based indications for antihypertensive drugs fell from 51% to 18% in the DASH + WM group and from 48% to 22% in the DASH group; and did not change significantly (49% to 44%) in the Usual Care group (P = 0.010 for the active intervention groups vs. Usual Care; P = 0.042 for DASH + WM vs. DASH).

Conclusions

These data demonstrate that in men and women with mildly elevated BP, lifestyle interventions can lower the calculated CVD risk and dramatically decrease the number of individuals for whom guideline-directed antihypertensive medication is indicated.
Can Self-Regulation be Transferred to Second/Foreign Language Learning and Teaching? Current Status, Controversies, and Future Directions
Authors: Teng Lin Sophie , Zhang Lawrence Jun
Published: June 2021

Recognized as an essential component of 21st century skills, self-regulation, also as a robust and vibrant theory, has been extensively researched in the field of education psychology for many decades. However, it is an area of research whose theoretical principles that drive the research work have not been sufficiently applied to the field of second language acquisition (SLA), applied linguistics, or foreign language education. Inspired by the heated discussion on self-regulation and language learning strategies in recent years (Rose et al. 2018; Griffiths 2020), this brief article presents a critical review of how self-regulation has been applied to second/foreign language learning and teaching in the past 15 years. By taking stock of conceptual and methodological issues, we highlight the state-of-the-art research and propose key foci for future studies. We conclude that self-regulation principles, measurements, and practices have a solid ground for enriching second/foreign language learning and teaching, and thus offer a complex and broad range of research possibilities.
Wavelet-Gaussian process regression model for forecasting daily solar radiation in the Saharan climate
Authors: Ferkous Khaled , Chellali Farouk , Kouzou Abdalah , Bekkar Belgacem
Published: June 2021

Forecasting solar radiation is fundamental to several domains related to renewable energy where several methods have been used to predict daily solar radiation, such as artificial intelligence and hybrid models. Recently, the Gaussian process regression (GPR) algorithm has been used successfully in remote sensing and Earth sciences. In this paper, a wavelet-coupled Gaussian process regression (W–GPR) model was proposed to predict the daily solar radiation received on a horizontal surface in Ghardaia (Algeria). For this purpose, 3 years of data (2013–15) have been used in model training while the data of 2016 were used to validate the model. In this work, different types of mother wavelets and different combinations of input data were evaluated based on the minimum air temperature, relative humidity and extraterrestrial solar radiation on a horizontal surface. The results demonstrated the effectiveness of the new hybrid W–GPR model compared with the classical GPR model in terms of root mean square error (RMSE), relative root mean square error (rRMSE), mean absolute error (MAE) and determination coefficient (R2).