bluuebunny/crossref_metadata_2025 huggingface dataset:
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Design of a Low Cost Solar Simulator by using Light Emitting Diode (LED)
Authors: Meshram N. D. , Yadav P. J.
Published: June 2021

Solar simulators based on light emitting diodes (LEDs) have shown great promise as alternative light sources for indoor testing of PV cells with certain characteristics that make them superior to the traditional solar simulators. However, large-area uniform illumination, more suitable for larger cells and module measurements still remain a challenge today. In this paper, we discuss the development and fabrication of a scalable large-area LED-based solar simulator that consists of multiple tapered light guides. We demonstrate fine intermixing of many LED light rays and power delivery in the form of a synthesized air mass (AM) 1.5 spectrum over an area of 25 cm by 50 cm with better than 10 % spatial no uniformity. We present the spectral output, the spatial uniformity and the temporal stability of the simulator in both the constant current mode and the pulsed-mode LED operation, and compare our data with the International Electro technical Commission (IEC) standards on solar simulators for class rating. Although the light intensity with our current design and settings falls short of the standard solar AM 1.5intensity, this design and further improvements open up the possibility of achieving large-area, high power indoor solar simulation with various desired spectra.
Effect of Pt-doped on the photocurrent of MSM photodetector
Authors: Sangwaranatee N , Srithanachai I , Niemcharoen S
Published: June 2021

This article report the fabrication and characteristics of MSM photo detector by compare between non-doped and doped platinum (Pt) atom. Fabrication process has same but different in Pt doping process for atom doping and diffusion process. The metal finger width 2um with 50 um spacing between metal contact. At bias voltage 10 voltage show higher capacitance-voltage and photocurrent increase after doped with Pt atom. By experiment shows photocurrent increase around 4 times from 45.98 to 197.22 uA at bias 10 voltage by photoluminescence 25,000 lux.
A novel approach to determine blocking temperature in bulk materials
Authors: Shukla A
Published: June 2021

Blocking temperature (θB) holds utmost significance in magnetic devices. A novel approach to ascertain the θB for bulk materials has been propounded. The θB has been correlated with the magnetic entropy change (ΔS) during zero-field cooled (ZFC) and field cooled (FC) magnetization. The values of ΔS have been calculated in µB/f.u.K. The θB has been investigated for two distinct cases – (I) with ZFC magnetization reversal and (II) without ZFC magnetisation reversal. Based on the reported experimental approach, a novel definition of θB has been propounded for bulk materials. The combined analysis of ZFC and FC magnetization behaviour provides a better approximation of θB for bulk materials.
Thermal Analysis of an Alkali Titanate: Sodium Hexa-Titanate (Na2Ti6O13) in Pure and Doped (Zinc) States
Authors: Alam Navshad , Khatoon Tahira , Chandel Vishal Singh
Published: June 2021

This paper deals with the synthesis of pure and Zn doped samples of Sodium Hexa-titanate (NHT, an Alkali Titanate) by solid-state reaction method and characterization by XRD, SEM and Thermal analysis. The phase of the synthesized samples has been confirmed by XRD and the particle size was estimated using the Debye-Scherrer equation. X-ray diffraction patterns of the samples reveal a single phase with monoclinic structure for both pure and doped samples. Surface morphology and the dimensions of the synthesized materials have been analysed with the help of field emission-scanning electron microscopy at different magnification. To explore the various phases of the samples under thermal conditions thermal analysis (DSC/TGA) has also been performed
Nanodot Optically Stimulated Luminescence Dosimeter for Entrance Surface Dose measurement at selected Health Clinic in Perak, Malaysia
Authors: Saidin M.T , Rahman A A , Radzi Y M , Harun H H , Karim M K A
Published: June 2021

The aimed of this study is to evaluate patient dosimetry received from Posterior Anterior Chest X-ray (PA-CXR) examination performed at community clinics in Perak using a nanodot Al2O3:C Optically Stimulated Luminescence dosimeter (OSLD). Four clinics were involved in this research namely Simpang Health Clinic, Buntong Health Clinic, Teluk Intan Health Clinic and Pengkalan Hulu Health Clinic. The ESD was measured by placing the OSLD on polymethylmethacrylate (PMMA) slabs that resembling a human body specifically lung. These clinics were selected as they were excluded from the first and second national dose survey conducted in Malaysia since 1993-1995 and 2005-2009 respectively. Previously, the recommended guidance level for PA-CXR entrance surface dose (ESD) was set at 0.9 mGy. We compare the ESD measured with OSL and guidance level set under the second national dose survey which utilized LiF:Mg, Ti thermoluminescence dosimeter (TLD). The results indicated that the 3rd quartile ESD measured using OSLD were ranged 0.271 mGy – 0.368 mGy which 30% lesser than the recommended guidance level.
Preparation and humidity sensing behavior of cadmium – zinc ferrite nanocomposite
Authors: Baraker Basavarajeshwari M. , Lobo Blaise , Sikarwar Samiksha , Yadav B. C.
Published: June 2021

Cadmium Zinc ferrite (Cd0.8Zn0.2Fe2O4) nano-composites (NC) were prepared by auto-combustion method, and annealed at 650°C. The humidity sensing behavior of this composite has been studied. The ability of a ferrite to sense the ambient water molecules depends on their interaction with ferrite material’s porous surface. The Cd0.8Zn0.2Fe2O4NC samples exhibit a high value of sensitivity to humidity, equal to 1.483 M?/%RH; this high sensitivity is due to two reasons. The first reason for this is the porous morphology of the prepared NC samples, confirmed from the SEM images. The second reason is the low value of crystallite size as more active sites for adsorption and desorption of water molecules become possible when the crystallite size is reduced. The humidity sensing behavior of the prepared composite films, based on electrical impedance measurements, exhibit an excellent reproducibility of 98%, as well as good response and recovery times of 86 seconds and 44 seconds, respectively. Therefore, it is a good candidate for humidity sensing applications.
Mathematical model for dynamic force analysis of printed circuit boards
Authors: Kovtun I.I. , Boiko J.M. , Petrashchuk S.A.
Published: June 2021

Mathematical model for dynamic force analysis of printed circuit boards has been designed to calculate dynamic deformations and stresses in printed circuit boards and assess their dynamic strength and rigidity. The represented model describes a printed circuit board as a separate oscillatory system, which is simulated as prismatic beam set on two oscillating supports. Simulation and assessment of stress and deflection in printed circuit boards and obtaining their amplitude frequency responses provided recommendations, which ensure strength and stiffness of printed circuit boards subjected to dynamic loads.
1e-Domination on Cartesian Product of Path Semigraphs
Authors: Narmatha D. , Indhumathy D.
Published: June 2021

Semigraphs are the more general form of graphs. The graphical structure of semigraphs are combined in several ways. The Cartesian product is one of the way of combining graphs to get more general structures from the simple structure of graphs. In this paper, 1e-domination number of the Cartesian product of some simple path semigraphs are discussed.
Implementation and quality measures of graph theory model based image segmentation process in medical application
Authors: Sekar U , Raj Mohan R , Subba Reddy MV
Published: June 2021

This research work simplified the representation of an image into more significant and easier way to analyse the image segmentation process by applying graph theory using color spatial clustering with consensus region merging. The color spatial clustering with consensus region merging is compared with other traditional and graph theory model to analyse the various quality measures calculated for the input of magnetic resonance imaging (MRI) scan and X-Ray images which will be useful in medical imaging for better analysis during diagnosis. From quality measures, the proposed method shows good quality image parameters as it has lower MSE, NAE values.
Bianchi-VI inflationary model with flat potential in general relativity
Authors: Sharma Sanjay , Poonia Laxmi , Kumawat Sunil
Published: June 2021

We have investigated Bianchi Type VI inflationary model in presence of flat potential to study the accelerating behavior of the physical universe in detail. To obtain the deterministic solution we consider the supplementary relation the component

σ
3
3

of shear tensor

σ
j
i

is proportional to expansion parameter θ which yield to appropriate condition c = (ab)
N
between metric coefficients, where N is non-negative constant. Special case in Bianchi Type VI model provide Bianchi I, III and V space-time. Geometrical and dynamical aspects of models are also discussed in different cases
A novel single-element transducer with curved surface for cavitation detection
Authors: Yin Xiaoyu
Published: June 2021

Acoustic cavitation is increasingly used to apply in industrial and clinical areas. However, with the development of these fields, the precision of devices used to monitor cavitation activity gradually cannot meet the needs of the higher accuracy requirements of practical application. In this paper, we propose several design schemes of a novel passive cavitation detector (PCD) which is hoped to have better measuring performance than traditional plane PCD because of its focusing effect. By conducting FEM simulations, the optimal design plan and the surface curvature of PCD were chosen. It is shown that the measuring ability of the final selected PCD is near 1.7 times of traditional plane PCD.
Research on fusion detection of centralized mobile target based on seismic wave sensor
Authors: Xu-fang Zhu , Ao-feng Li , Shuo He
Published: June 2021

Aiming at the limitation of single sensor detection and the deficiency of low information utilization rate in distributed fusion mode, according to the characteristics of strong energy and long propagation distance on free surface of seismic wave and the advantages of centralized fusion detection method, a centralized fusion detection algorithm based on Neyman-Pearson criterion is proposed. The probability formula of single sensor detection and centralized fusion detection is deduced and simulated. Through the experiment of ground maneuvering target, it is proved that the algorithm can effectively improve the detection probability and performance of the target.
Design of Compensated Hall High Current Sensor Control System
Authors: Xu Wu , Linsen Wang , Mi Pan , Ya Li
Published: June 2021

Based on the principle and characteristics of the zero-flux Hall current sensor, traditional Hall current sensors mostly use analog drive circuits, which have low output power, poor anti-interference ability and are inconvenient to debug. Aiming at the disadvantages of traditional sensors, a method based on the composition and technical realization of a digital drive system with DSP as the core is given. DSP is used as the main controller which combined with CPLD to realize the distribution of information. The hardware circuit of the drive system is designed that includes operational amplifier circuit, DSP processing circuit, optocoupler circuit and power amplifier circuit. Also, the system application software is designed and it includes the DSP program of the main control board, the CPLD information distribution program and the upper computer application software. Through analyzing the waveforms and data of the experimental test, the results show that the designed sensor digital drive system has good uncertainty, linearity, and anti-interference. All indicators have reached the design requirements and have a wide range of practicability.
Corrosion Depth Monitoring of Hole-Edge Based on Lamb wave
Authors: Zhang Weifang , Xu Duo , Wang Xiangyu
Published: June 2021

This study proposed a novel method using Lamb wave to detect corrosion depth at the hole-edge of plate-like structure. An experimental procedure with a hexagon layout using 6 piezoelectric sensors (PZTs) was applied. The A0 mode of the Lamb wave was selected to detect depth-loss damage, and the amplitude of A0 mode gradually decreases with the increasing of corrosion depth. The simulation results are consistent with the real damage pictures, which confirms the effectiveness of the proposed method. The results show that A0 mode of Lamb wave can be used to identify corrosion depth damage at the hole-edge of plate-like structure.
Application of adaptive line enhancer based on NLMS algorithm in shaft-rate electric field signal detection
Authors: Zeng Wenshi , Bian Qiang , Tong Yude
Published: June 2021

There is lots of useful signal feature in ship’s shaft-rate electric field. Extracting the signal feature is vital in underwater target recognition. In order to extract the feature of the shaft-rate electric field, the shaft-rate electric field is processed by ALE based on NLMS. The improved NLMS algorithm is proposed to construct an adaptive line-spectrum enhancer, and then the measured data of shaft-rate electric field is processed by ALE. The results show that the algorithm can effectively separate the weak shaft frequency electric field signal from the broadband background noise at low SNR. Compared with the ordinary ALE, the algorithm has more significant effect in improving SNR, faster convergence speed and smaller steady-state error, which greatly improves the detection ability of ship shaft frequency electric field.
Probing orientation degrees of polar molecule from high-order harmonic generation: the case of partial alignment
Authors: Nguyen Kim-Ngan H. , Phan Ngoc-Loan , Le Cam-Tu , Vu Dinh Duy
Published: June 2021

Recently, we have proposed a general method to probe the whole range of degrees of orientation based on the time-frequency profile of high-order harmonic generation (HHG) but for perfectly aligned polar molecules only. In this study, we expand the previous results by considering the imperfect alignment of an ensemble of polar molecules. The “experimental” HHGs with molecular alignment distribution are simulated by numerically solving the time-dependent Schrödinger equation. The results show that, for high and moderate degrees of alignment, the proposed method is still effective and robust. For an ensemble with low degrees of alignment, the systematic error is significant due to the inaccuracy caused by the molecules aligned at large angles to the laser electric field.
The melting curve of gold up to 1500 kbar
Authors: Tan Pham Duy
Published: June 2021

The melting temperature Tm of gold has been determined from ambient pressure to 1500 kbar using statistical moment method (SMM) and the Lindemann criterion. The equation of the melting curve obtained is a quadratic polynomial of the melting temperature Tm, with coefficients that are explicitly dependent on pressure P. Simple number calculation and easily verify. Numerical results for the melting temperature of gold up to 1500 kbar are in good agreement with the experimental data and the theoretical results of other authors.
Rectangular quantum wire with an infinite potential GaAs/AlGaAs: Quantum theory of acoustomagnetoelectric effect in the presence of electromagnetic wave
Authors: Huong Nguyen Thu , Thang Nguyen Quyet , Nghia Nguyen Van , Bau Nguyen Quang
Published: June 2021

The acoustomagnetoelectric (AME) effect in an GaAs/AlGaAs rectangular quantum wire with infinite potential (RQWIP) is investigated under the influence of electromagnetic wave (EMW) by using quantum kinetic equation (QKE) method. We obtain the electron distribution function in the interaction with internal and external phonon. By solving the inhomogeneous differential equation, the current density

J
→

and the acoustomagnetoelectric field (E AME
) are obtained in the dependence on the EMW amplitude, external acoustic wave frequency, the system temperature and the RQWIP length. The results are numerically evaluated for GaAs/AlGaAs quantum wire. We compares it to the result obtained in case of the bulk semiconductors and others low-dimension system in order to show the difference and the novelty of the results. The E AME depends non-linearly on the wire length L z
and exhibits an oscillatory behavior as the function of wire length, although the stability period in long wire length condition. Moreover, we survey the impact of EMW on EAME with the dependence on the external acoustic wave frequency

ω

q
→

The result also indicates that the current density

J
→

amplifies exponentially as the temperature increases.
On the Quadron State in Parabolic Quantum Dots
Authors: Quang Nguyen Hong , Dung Tran Anh
Published: June 2021

In this work we consider a quadron – a state of four carriers – two electrons and two holes in quantum dots with parabolic confinement. By using the Hatree-Fock method, the binding energies of the quadron and biexciton have been calculated for a full range of the electron-to-hole oscillator length ratio. The effect of the magnetic field on the binding energy of the quadron and biexciton has been also investigated. The crossing between anti-binding and binding in both the excited quadron and biexciton states for the certain ranges of the electron-to-hole oscillator length ratio has been found.
Two-dimensional clusters of colloidal tetramers via droplet emulsion templating
Authors: Hai Pham Van
Published: June 2021

In this report, using a kinetic Monte Carlo simulation method we considered a hierarchical assembly of planar square tetramers, constrained in a plane, via droplet evaporation. We found that colloidal tetramers undergo a structural transition from initial square-shape tetramers to diamond-like tetramers. A variety range of novel cluster configurations belongs to a particular class of geometrical shape, that has not been previously reported to the clusters of single colloids. Considering potential applications of colloidal clusters in electronics, photonic materials, our result could provide an effective way to control the formation of complex colloidal cluster structures.
Success factors in product development projects: expert opinions
Authors: Soltész László , Berényi László
Published: June 2021

Successful product development is a common challenge for technical and management experts. The increasing pressure on time reduction and cost savings while enhancing product features, requires rethinking project management methods. This paper analyses the opinions of product development experts about the success factors of product development projects. A voluntary online survey was used for data collection in 2020. The study confirms that development engineers, test engineers, project managers, and product development managers have partially different approaches to important success factors. Precise regulation and focus on collaboration are considered essential topics. The results show that knowledge management and collaboration with other organizational units must be improved. Enhancing the interpretation of project success and forcing the better utilization of lessons learned or module information can contribute to sustainable success.
Risks and threats in cyberspace – The key to success in digitization
Authors: Strelicz Andrea
Published: June 2021

The rapid spread of digitization raises some questions about the sustainability or preparedness of economic associations and their resilience to threats. Based on recently completed research, it can be said, that behind the technology aspect of digitization; it is essential to develop a management approach to reduce the exposure of knowledge stored in data, to threats. Beyond the opportunities provided by digitization, there is a counterweight to the dangers and importance of data protection presented in this study. At the same time, organizations and surveillance systems set up to support data and information protection, as well as cyberattacks, are currently mentioned as some of the most significant risk factors in the world. Then a current research’s results are introduced, on the importance of data protection. Finally, the paper concludes with some cases that have happened in the real world.
The design and application of a pneumatic suspension test bench
Authors: Marada Imre
Published: June 2021

The suspension is one of the most important parts of a motorcycle. The main function of a suspension is to connect the frame with the wheels. During its operation different forces and torques affect this unit. It is important to analyse the behaviour of the suspension during its use. The subject of the article is to present the design and application possibilities of a device suitable for testing the rear suspension of motorcycles. With this equipment it is possible to analyse the rear suspension of motorcycles. During its operation, the test bench moves an artificial obstacle under the wheel. As a result, the equipment simulates the motorcycle’s passing through uneven road surfaces. This way we can analyse a rear suspension of a motorcycle or a suspension fixed to a test frame.
Sessile Serrated Adenoma With Dysplasia of the Colon
Authors: Batts Kenneth P , Cinnor Birtukan , Kim Adam , Stickney Emily , Burgart Lawrence J
Published: June 2021

Objectives

Sessile serrated adenomas with dysplasia (SSADs) of the colon are transitional lesions between sessile serrated adenomas (SSAs) and a subset of colorectal adenocarcinomas. We wished to gain insight into the relative percentages and significance of SSAD subtypes.

Methods

Retrospective (2007-2012) clinicopathologic review of colorectal polyps initially regarded as having mixed serrated and dysplastic elements. SSADs were subdivided into those with cap-like adenomatous dysplasia (ad1), non-cap-like adenomatous dysplasia (ad2), serrated dysplasia (ser), minimal dysplasia (min), and dysplasia not otherwise specified (nos). MLH1 immunostaining was performed on many.

Results

SSADser (7.7%) had a greater propensity for right colon, women, and MLH1 loss vs the entire cohort. SSAad1 (11.6%) had the least female preponderance, was least likely to have MLH1 loss, and was most likely to affect the left colorectum. SSAD with MLH1 loss was associated with an increased burden of SSAs in the background colon (P = .0003) but not tubular adenomas or hyperplastic polyps. Most SSADs (ad2 and nos groups, 80% combined) showed difficult-to-classify dysplasia, intermediate MLH1 loss rates, and intermediate clinical features.

Conclusions

While some trends exist, morphologically subclassifying SSADs is probably not justified in routine clinical practice. MLH1 loss portends a greater burden of SSAs in the background colon.
Effect of Expanding the Earned Income Tax Credit to Americans Without Dependent Children on Psychological Distress
Authors: Courtin Emilie , Allen Heidi L , Katz Lawrence F , Miller Cynthia , Aloisi Kali , Muennig Peter A
Published: June 2021

Antipoverty policies have the potential to improve mental health. We conducted a randomized trial (Paycheck Plus Health Study Randomized Controlled Trial, New York, New York) to investigate whether a 4-fold increase in the Earned Income Tax Credit for low-income Americans without dependent children would reduce psychological distress relative to the current federal credit. Between 2013 and 2014, a total of 5,968 participants were recruited; 2,997 were randomly assigned to the treatment group and 2,971 were assigned to the control group. Survey data were collected 32 months postrandomization (n = 4,749). Eligibility for the program increased employment by 1.9 percentage points and after-bonus earnings by 6% ($635/year), on average, over the 3 years of the study. Treatment was associated with a marginally statistically significant decline in psychological distress, as measured by the 6-item Kessler Psychological Distress Scale, relative to the control group (score change = −0.30 points, 95% confidence interval (CI): −0.63, 0.03; P = 0.072). Women in the treated group experienced a half-point reduction in psychological distress (score change = −0.55 points, 95% CI: −0.97, −0.13; P = 0.032), and noncustodial parents had a 1.36-point reduction (95% CI: −2.24, −0.49; P = 0.011). Expansion of a large antipoverty program to individuals without dependent children reduced psychological distress for women and noncustodial parents—the groups that benefitted the most in terms of increased after-bonus earnings.
Shadow Politics: Front Stage and the Veneer of Volunteerism
Authors: Udupa Sahana
Published: June 2021

This article proposes the metaphor of “shadow” to examine two interrelated aspects of digital politics in India: online surveillance of politically inclined actors and datafied shadow texts aimed at managing front stage politics. The specificity of “shadow politics” emerges from ongoing transformations that are deeply interwoven with the digital, first with the data driven confidence around the “total certainty” of tracking and calibrating voter sentiments, and second, with the ideology of digital participation and related claims that data machines are merely tapping into people’s sovereign expressions online.