bluuebunny/crossref_metadata_2025_split huggingface dataset:
A mobile air particle system using an optical sensor for haze measurement
Authors: Nurulain S , Hafiza Z , Siera R , Musfirah M , Salim MR , Manap H 
Published: June 2021

Abstract
This paper presents a development of a mobile haze measurement system which can measure the amount of particulate matter and display in real time. The current haze measurement system called high volume sampler is difficult to move around due to its big size and the reading is not available in real time. Therefore, an alternative for the haze measurement system need to be developed. It uses an optical sensor as a working principle and Arduino board as a microcontroller. The measurement system is able to measure particulate matter from the smoke generated using a mosquito coil. The reading from the developed haze measurement system is verified using a commercial sensor called Dust Mate.
Effect of high-k dielectric material on the characteristics of Single Gate and Double Gate Multi-Channel Junctionless Nanowire Transistors
Authors: Hossain Mohammad Rabib , Hoque Asiful , Tahmid Md Ishfak , Rahman Adnan Md. Mohsinur 
Published: June 2021

Abstract
In this work, we have designed and analyzed the performance characteristics of n-type silicon based multi-channel junctionless nanowire transistors (JLNTs) for both single gate and double gate configurations. Numerical simulations using CVT (lambardi) model has been carried out to investigate the effects of different device parameters such as gate insulator dielectric, gate insulator thickness, and separating materials between channels. To illustrate and evaluate the performances, input characteristic curves, transconductance, and Ion/Ioff ratio of the devices have been extracted. It is observed that Ion/Ioff ratio are directly affected by the variation of dielectric and thickness of the gate. Devices having a high-κ dielectric provides steeper characteristics and better Ion/Ioff ratio for both the structures. The value of transconductance is also found to be greater for high-κ dielectric in both configurations with the double gate providing a higher value compared to the single one.
Loss Reduction in Distribution System using Best Practices
Authors: Jain T , Kanwar N 
Published: June 2021

Abstract
This paper talks about the implementation of the best practices to reduce the losses related to Transmission and Distribution (T&D) system. Distribution system is one of the major areas where the distribution companies (DisComs) face huge losses, therefore, reduction of T&D losses may bring profit to the DisComs. In this work, various technical losses are identified and tackled accordingly. This paper also discusses the measures to be taken to reduce the losses and hence increase the overall efficiency of the network.
Dynamic prediction of energy and power usage cost using linear regression-machine learning analysis
Authors: Basha Rani Fathima Kamal , Bharathi M.L , Venusamy Kanagaraj 
Published: June 2021

Abstract
As a known fact, energy usage and demand exponentially rises year after year, hence forth power based companies are apparently looking out for a forecasting approach with better approximations. Based on the usage history at the customer level with the emergence of machine learning, and its association with various prediction and decision making fields. This paper aims to use a machine learning algorithm to predict the cost levied on the customer proportional to the usage. The efficacy of this model is compared to the results obtained with the mathematical computations. It is evident that the accuracy is 95% with reference to the multilinear regression algorithm
A High-Availability and Integrity Layer for Cloud Storage, Cloud Computing Security: From Single to Multi-Clouds
Authors: Ramesh Naidu P. , Guruprasad N. , Dankan Gowda V 
Published: June 2021

Abstract
The utilization of distributed computing has expanded quickly in numerous associations. Distributed computing gives numerous advantages regarding the ease and availability of information. Guaranteeing the security of distributed computing is a the central point in the distributed computing condition, as clients regularly store delicate data with cloud capacity suppliers, however, these suppliers might be untrusted. Managing ”single cloud” suppliers is anticipated to turn out to be less famous with clients due to dangers of administration accessibility disappointment and the probability of vindictive insiders in the single cloud. A the development towards ”multi-mists”, or at the end of the day, ”inter clouds” has developed as of late. High-Availability and Integrity Layer (HAIL), a conveyed cryptographic framework that allows a set of workers to demonstrate to a customer that a put-away record is flawless what’s more, retrievable. HAIL fortifies, officially brings together, what’s more, smoothes out unmistakable methodologies from the cryptographic furthermore, dispersed frameworks networks. Evidence in HAIL are proficiently process able by workers and profoundly reduced regularly tens or many bytes, regardless of record size. This paper reviews the ongoing examination identified with single what’s more, multi-cloud security and addresses conceivable arrangements. It is discovered that the examination into the utilization of multi-cloud suppliers to keep up security has gotten less consideration from the examination network than has the utilization of single mists. This work means to advance the utilization of multi-mists because of its capacity to decrease security dangers that influence the distributed computing client.
Analysis of machine learning algorithms in diabetes mellitus prediction
Authors: Saxena R , Sharma S K , Gupta M 
Published: June 2021

Abstract
Diabetes mellitus is one of the enduring and lethal disease which is caused due to enlarged levels of glucose in the blood. Therefore, it’s quite necessary to predict the diabetes in its early stage. In this paper, we have studied machine learning algorithms to predict the diabetes. We have made use of PIMA Indians diabetes dataset and weka (a tool to implement machine learning algorithms) and predicted the precision, recall, accuracy, f-measure and receiver operating characteristics.
Human Anomalous Activity Detection: Shape and Motion Approach in Crowded Scenes
Authors: Prabha B. , Shanker N.R. , Priya M. , Ganesh E. 
Published: June 2021

Abstract
Detecting anomalous activities in crowded scenes is a very challenging task in computer vision. An enhanced video anomaly detection framework is proposed for frame-wise anomalous activity detection in crowded scenes that is based on both shape and motion based features. The Histogram of Oriented Gradients (HOG) is used to represent the shape based features of the video frames and for representing the motion, Histogram of Oriented Optical Flow (HOOF) is used. These features are modeled using two-class Support Vector Machines (SVM) to detect abnormal events in every frame. The proposed method is modeled with both normal and abnormal behaviors which are learnt from the training data and it is capable of detecting abnormal activities in a live surveillance video. To evaluate the performance of the proposed work, experiments are conducted on the standard benchmark UCSD data set and the results are compared with the HOOF feature bin values.
Design of Network on Chip (NoC) Computing Node for Mesh Topology using Soft-core NIOS-II Processor
Authors: Rane Udaysing V , Gad Rajendra S , Panem Charanarur 
Published: June 2021

Abstract
Paper discusses the design of computing node for Mesh topology-based Network on Chip (NoC) platform. The computing node has a capability of processing and routing data over four I/O port switch. Mesh topology is popular due to scalability and its simplest form. The platform is design for (N x N) computing nodes, where each node has soft-core based ‘NIOS-II’ processor. Each computing node has four-way switch East, West, North, South and one local port. The Mesh topology uses static look-up table optimized using proper routing algorithms. The lookup table information is used by Virtual Circuit Interface (VCI) of the switch node to forward the packets using combination of priority based round robin diagonal propagation scheduling algorithm. The design of computing node is generated using – Quartus-II ALTERA software and simulated for functional simulation. Such platforms are popular for data parallelism having applications in Smart sensors.
Route Optimization of Unmanned Aerial Vehicle by using Reinforcement Learning
Authors: Kundu M , Nagendra Kumar D J 
Published: June 2021

Abstract
The study proposes the machine learning based algorithm for autonomous vehicle. The dynamic characteristic of unmanned aerial vehicle and real time disturbances such as wind current, obstacles are considered. The novelty of the work lies in the introduction of reinforcement learning for achieving optimized path which can be followed by the unmanned aerial vehicles to complete the tour from initial to destination point. The feasible optimal route may be found by incorporating the L algorithm with a reasonable optimality and computational cost when map and current field data are given.
Bio-Inspired Routing Protocol to Enhance Performance of Wireless Sensor Network
Authors: Basil Baby K , Lingaraj M 
Published: June 2021

Abstract
Tremendous advancements are seen in communication technologies for the past few years. Mechanisms and concepts used for transmission are facing continuous updates. The challenges arise when data pass from wired medium to wireless medium. The advent of WSN provides a new dimension in network research particularly towards controlled devices. In those types of networks, communication between sensor nodes entirely depends on sensing the location and tracking the changes that get happen. These kinds of sensor nodes permit WSN to (i) perform the operation in a broad range, (ii) receive the accurate information. Routing plays a major role in WSN to deliver the sensed information to the destination node. Poor routing ends with network failure. In this paper, bio-inspired optimization based routing is proposed to enhance the performance of the routing by minimizing the delay and energy consumption. Proposed protocol is inspired from characteristics and behavior of saddle goatfish. Results indicate that the proposed routing protocol attains the better performance than other routing protocols.
A Study of power plant selection process – A graph theoretic approach
Authors: Sriganesh R. , Sundareswaran R. , Shanmugapriya M. , Pandikumar M. 
Published: June 2021

Abstract
A power plant is an industrial facility that is utilized for the generation of electrical power on a large scale. Selecting the best suitable power plant depends upon a number of various factors such as cost, fuel, location, and availability of a water source. It is very important to select an appropriate power plant to be set-up taking all these parameters and their sub-factors into consideration. In this paper, a graph-theoretic approach has been used to select the best power plant among three of the major power plants which include hydroelectric power plant, thermal power plant, and nuclear power plant. A fishbone diagram is used to represent the factors and the cofactors affecting the power plant selection process. A digraph characteristic is sketched between the factors and cofactors which are involved in the selection of the power plant. The interdependency of the factors and their inheritances are identified and they have been represented by using numerical values in this work. These values are further represented in a matrix form for the above stated three power plants. An example is made to illustrate the use of this technique in decision-making problems with different alternatives and multiple interdependent factors.
Identification of fault size of rolling element bearing on outer race from vibration signature analysis
Authors: Bhojawala V M , Patel D V , Patel K M 
Published: June 2021

Abstract
Prognostics deals with the estimation of the remaining useful life (RUL) of machine, which is predicated based on their present condition and their future operating condition. Rolling element bearing failure is one of the commonly explained reason for machine breakdown. At the point when machine is in running condition and fault occur in bearing, it is extremely difficult to identify fault size in bearing. Thus, for safety of machine it is necessary to change bearing before fault size increases to a significant level. Further, the replacement of bearing might be extremely costly and on other hand chances can’t be taken with safety aspects. Therefore, it is necessary to find the RUL of bearing by identifying the spall size of fault from vibration signal. Fault size estimation can be done by decomposition of vibration signal by using discrete wavelet transform and also introducing the autoregressive method, minimum entropy deconvolution and Hilbert transform. The decomposed signal is divided into peak corresponding to the ball enter into the fault and exit from the fault. Experiment conducted for various size of faults present on the 25 mm inner diameter polyamide cage deep groove ball bearing. The minimum size of 0.3 mm is detected in the present work for outer race defect with only radial load. Further, fault size estimation is investigated for 1mm defect present at outer race subjected to both radial and axial load
Performance evaluation of simple DPHX with helical baffles in annulus side
Authors: Vivek S. , Ravi Rajesh , Stephen Leon J. , Suresh G. , Selvaraj M. , Manikandan K. , Meenakshi CM. 
Published: June 2021

Abstract
In this paper, turbulent thermo-hydraulic analysis of water-to-water passively augmented DPHX with helical baffles is studied by varying the parameters, mass flow rate and baffle spacing. The baffles in annulus side of the inner pipe augments the rate of heat transfer on comparing with the simple DPHX. The influence of spacing between baffles on the heat transfer rate is investigated by varying the governing parameters. The Reynolds number is varied between 22,000 and 12, 5000 for three different baffle spacing (β) values of 75 mm, 100 mm and 125 mm. The thermo-hydraulic performance parameters pressure drop, Nusselt number and friction factor are examined and put forth corresponding to experimental data. From the results, it is inferred that the effect of baffles on the annulus side of the hot fluid flows through the inner pipe enhances heat transfer rate with increase in the Nu and decreases as the baffle spacing increases.
Semi-Autonomous UAV based Weather and Air Pollution Monitoring System
Authors: Guin Mahesh Kumar , Hiremath Shivashankar , Shrishail M H 
Published: June 2021

Abstract
With air pollution increasing at an alarming rate, it has drastic health and economic effects on the urban centers across the world. Optimized monitoring and controlling methods are required for obtaining the good performance of the sensors. It is important to mitigate disasters due to pollution; the proposed work has contributed to monitoring the atmosphere’s pollutant concentration with greater precision. To use a semi-autonomous unmanned aerial vehicle to remotely measure the air pollution at a suitable height and wirelessly transmit the data logged into the ground station. The ground station directly updates the server’s real-time values to be monitored using the simulation software’s graphical user interface. The CO2, CO, Temperature, and Humidity values are collected, and proper algorithms are used to prevent data duplication and practical data extraction from the database. The ultra-high frequency (UHF) band is used for wireless transmission. It helps the Quadcopter mounted sensor module to monitor a large area while simultaneously updating the server’s values. This type of pollution monitoring can help plants such as refineries, integrated industries, thermal power plants, etc., to regulate pollutants’ emissions to the atmosphere. The semi-autonomous UAV-based data collection and testing are carried in the field of polluted areas.
Experimental behaviour of smart concrete embedded with micro carbon fibres as a sensing material
Authors: Cholker Arvind Kumar , kulkarni Prathik , Ravekar Vikas 
Published: June 2021

Abstract
While there are distinct structural health monitoring methods available, health monitoring using smart concrete is a newly emerging technique. In this technique, cement mortar/concrete is made as self-sensing by introducing carbon fibres in the conventional concrete that can sense strains/stresses/loads. Therefore to study in detail about this technique, in the present research, concrete cubes made from self-compacting concrete of 15 cm size reinforced with carbon fibres in various dosages were cast. Different tests have been performed on sufficient specimens that include stress/strain sensing and crack/damage sensing that resulted in finding co-relation between properties of concrete cube and change fractional resistance (FCR). The obtained results promised that when carbon fibres in the specimen are dosed with 1.5% can give the best co-relation between FCR and concrete cube properties and also the same dosage found to be best suited for stress sensing and crack/damage sensing.
Stability of nonlinear vibrations of plate protected from vibrations
Authors: Mirsaidov M M , Dusmatov O M , Khodjabekov M U 
Published: June 2021

Abstract
This work is devoted to solving the problem of the stability of nonlinear vibrations of the plate, which is protected from vibrations under the influence of kinematic excitations. A dynamic absorber is taken as an object to protect against vibrations. The dissipative properties of the plate material and the damping element of dynamic absorber are expressed by the Pisarenko-Boginich model of the hysteresis type. An analytical expression of the stability conditions was obtained using Lyapunov’s first approximation method. A system of differential equations of normal form is obtained for nonlinear vibration of a plate with dynamic absorber, a characteristic equation is constructed, and it is shown on the basis of the Hurwitz criterion that the negativity of the real part of its roots ensures the stability of nonlinear vibrations of the protected plate.
Modeling of spatial natural oscillations of axisymmetric systems
Authors: Mirsaidov M M , Nosirov A A , Nasirov I A 
Published: June 2021

Abstract
A mathematical model, methods and algorithm for estimating the natural vibrations of inhomogeneous axisymmetric systems in a three-dimensional statement are presented in the paper. The problem is solved by the semi-analytical finite element method (FEM). The reliability of the developed methods and algorithms was validated by comparing the results obtained with the exact solution of a number of test problems for three-dimensional bodies, as well as by comparing the results with the results of field experiments. Spatial natural vibrations of inhomogeneous spatial axisymmetric systems, i.e. the models of nuclear power plants (NPPs) shielding shell in a three-dimensional statement were investigated. The results were analyzed to detect mechanical effects and revealed that the presence of multiple (close) eigenfrequencies in real spatial axisymmetric systems is not an exception, but a rule.
On the possibility of propagation of pipe and lemb waves in cylindrical wells filled with liquid
Authors: Safarov I.I. , Teshaev M.Kh. , Akhmedov N.B. , Khalilov Sh.F. , Akhmedov M.Sh. 
Published: June 2021

Abstract
This work is devoted to the study of the propagation and dispersion of natural waves in oil-gas wells. A detailed analysis of well-known works devoted to this problem is given. In this work, a mathematical formulation and a methodology for studying the propagation, dispersion and attenuation of tube and Lamb waves in a well filled with liquid have been developed. To solve the problem and assess the damping properties of tube and Lamb waves in a well filled with liquid, the following methods were used: separation of variables, the theory of potential functions, an orthogonal sweep and central difference schemes. The complex roots (phase velocities) of the dispersion equation are determined by the methods of Mueller and Gauss. A number of new mechanical effects have been identified that have practical significance: the interference and dispersion of Lamb waves depends on the parameters of the well; the presence of a sliding contact between the pipe and the medium leads to the appearance of pipe and Lamb waves, and taking the viscoelastic properties of the pipe into account leads to a damping effect; with a system of zero frequency, despite the contact conditions between the elements of the system, both L and T waves have the same speed, and with an increase in the frequency of oscillations, the difference in the phase velocities of these waves increases.
Investigation of a novel 5nm top bottom gated junctionless FinFET for improved switching and analog performance
Authors: Gangwani Lakshya , Chakravarti Ruchika , Chaujar Rishu 
Published: June 2021

Abstract
In this work, we have designed a Novel Top-Bottom Gated Junctionless (JL) Fin-Shaped Field Effect Transistor (FinFET) Structure. The main idea of designing this structure is to improve the output efficiency and reduce the Short Channel Effects (SCEs). This paper analyzes the Analog Performance of a Novel Junctionless FinFET Structure with 5nm Gate length investigated on Silvaco Atlas Technology Computer Aided Design (TCAD) Tools and compared to Conventional Junctionless Bulk FinFET Structure. This Novel JL FinFET has gates on both sides of the substrate, hence the name Top-Bottom Gated (TBG) FinFET. It is determined that the proposed novel device enhances the switching ratio by almost 100 times, hence improving the transconductance and output current. Our device also shows improvement in the output conductance over the conventional JL FinFET. The simulation results show that the Novel TBG JL FinFET structure has better
ION/IOFF

and thus reduces the short channel effects than the conventional bulk FinFET more effectively.
Measurement, processing and analysis of stress magnetocardiograms
Authors: Kesavaraja C , Sengottuvel S , Patel Rajesh , Khan Pathan Fayaz , Swain Pragyna Parimita , Gireesan K 
Published: June 2021

Abstract
Magnetocardiography (MCG) measures weak magnetic fields originating due to the electrical activity of the heart. MCG offers distinct diagnostic information on the cardiac electrophysiology in a variety of dysfunctions. This list includes myocardial ischemia, which is associated with reduced blood supply to the heart, electrically manifested as changes in the ST segment of the cardiac cycle. As opposed to the conventional measurement of electrocardiogram (ECG) on subjects undergoing physical stress test to investigate these ST changes, rest MCG itself has been demonstrated to be more sensitive. Considerable interest exists among researchers to investigate MCG signals measured during physical exertion as well to explore the possibilities of improvements in its sensitivity. This paper portrays the MCG measurements of a few subjects under rest and during moderate cycling in supine posture using a non-magnetic bicycle ergometer. The work details the signal processing steps followed in processing MCG to refine the signal quality in computing the parameter, ST fluctuation score in an automated manner. Significant changes are seen on the ST fluctuation scores measured on a few healthy subjects across rest and stress conditions. These results persuade its possible use on MCG measured on subjects with ischemic heart diseases by treating this analysis as baseline measurements.