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1890 articles for “Analysi” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Experimental Analysis of Concentric Heat Exchanger with Dimpled Tube
Abstract: In this work, an experimental and CFD analysis of concentric heat exchangers with smooth andspherical dimple pipes in different mass streams with water as a working medium is presented.Heat transfer technology refers to various methods used to increase the heat transfer ratewithout significantly affecting the overall system performance. Over the past decade, severalstudies have reported indirect technology for heat transfer. The present study on the change ofthe inner tube to …
Published in Journal of Thermal Engineering and Applications · Vol. 7, Issue 3, 2020 · pp. 7–12 Read article
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Efficiency Matters: A Study of Energy Analysis Techniques in Thermal Power Plants
Abstract: The objective of this article is to perform exergy analysis for warm control plants based on the simulation software Aspen Furthermore. In this ponder, the most areas of the system counting the kettle and the steam turbine are modeled using the Aspen Also program. Exergy investigation of the modeled system is examined to get the vitality misfortune conveyance of the system. The impacts of different working conditions on the exergy …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 14–19 Read article
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Harmonic Analysis of Arterial Blood Pressure Signal Using Fourier Decomposition for Autonomic Health Assessment
Abstract: AbstractIn the present study, the arterial blood pressure waveform is decomposed utilizing Fourier to examine the fundamental frequency and to build up a linkage for autonomic health assessment. This methodology will produce practically identical fundamental frequency, either utilizing noninvasively recorded photoplethysmogram (PPG) or the blood pressure signal. In order to normalize the both, signal PPG waveform is approximated to arterial blood pressure waveform by nonlinear fitting blood pressure values to …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 7–14 Read article
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Speech Recognition and Analysis using Energy of the Signal
Abstract: AbstractSpeech plays an important role in day to day communication. It is a natural way to transfer thoughts from one to another. If any information needs to deliver in between human’s speech is the best way of delivery. With the help of the electronic system, we can extract the information from the original speech signal by doing signals processing. Here, in this research work, we formulate the system that recognizes …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–33 Read article
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Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State and Blowing an Alarm
Abstract: AbstractDriver's deficiency is one of the significant purposes behind car crashes, especially for drivers of wide vehicles, (for example, transports and overwhelming trucks) in perspective of conceded driving periods and fatigue in working conditions. In this paper, we propose a dream based exhaustion recognizing confirmation structure for transport driver watching, which is clear and flexible for sending in transports and critical vehicles. The structure contains modules of head-bear unmistakable evidence, …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 34–43 Read article
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Analysis of Low Bit Rate Audio Compression System using Linear Predictive Coding
Abstract: Abstract The point of the task is to build up a framework for encoding great quality discourse at a low bit rate. To execute this, we have utilized the most dominant discourse investigation system called Linear Predictive Coding (LPC). It utilizes tenth request Levinson-Durbin Recursion calculation to achieve the errand. It gives amazingly exact evaluations of discourse parameters and is moderately effective for computation. The discourse flag of guys and …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 1–6 Read article
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Comparative Analysis of Neural Network and Linear Regression Applied to Black Friday Data
Abstract: AbstractIn this study, it compares two different types of neural networks. First is a single layer neural network and other is multiple hidden layer neural network. For just comparisons it is ensured that both uses the same activation and output functions and have the same number of nodes and parameters. The networks are trained by the gradient descent algorithm to approximate linear and quadratic functions and examine their convergence properties. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 1–4 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Embedded Real Time Operating Systems Performance Analysis for ARM7 Platform
Abstract: An embedded RTOS is a software part of an embedded system that is used in the almost all the real-time application development process. It has a considerable effect on the reliability, robustness and performance of system under design and test. This paper addresses the concern of parameterized performance characteristics of two different RTOSs i.e. μC/OS-II and FreeRTOS ported on same common controller platform from ARM7TDMI family. Different OS services are …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 24–29 Read article
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Implementation and Analysis of Linear Electrical Networks using Interval Arithmetic on FPGA’s
Abstract: Interval arithmetic provides better method for monitoring and controlling errors in scientific calculations. Interval arithmetic can be used to obtain an analysis of linear electrical networks using hardware description language (HDL). In this paper the mean value theorem is used to analyze the circuits and implemented on hardware. The mean value theorem is applied for three different circuits i.e., for first order, second order and third order analog circuits. The …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 14–21 Read article
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Analysis of Speech Using Different Methods
Abstract: In speech analysis, the voiced-unvoiced decision is usually performed in extracting the information from the speech signals. In this paper, two methods are performed to separate the voiced and unvoiced parts of the speech signals. These are zero-crossing rate (ZCR) and energy. In here, we evaluated the results by dividing the speech sample into some segments and used the zero-crossing rate and energy calculations to separate the voiced and unvoiced …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 11–25 Read article
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Principal Component Analysis Based Dominant Features Selection Method for Speaker Identification
Abstract: Cepstrum based features are mostly used in speaker identification. Mel-frequency cepstrum coefficients (MFCCs) and their statistical properties (skewness, kurtosis and standard deviation) are used in this paper for text-dependent speaker identification. Principal component analysis (PCA) is employed to select the dominant feature vector representing the speaker characteristics. Multi-layer neural network is used as the classification engine. There occurs the inter-speaker variation of speech length uttering the same word. The feature …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 33–45 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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A Review study on Deep Drawing Analysis of Sheet Metal with Different Materials
Abstract: Deep drawing is one of the maximum vital processes for forming metal steel components.It is widely used for mass manufacturing of cup shapes in car, aerospace and packaging industries. In deep drawing metallic sheet is subjected to high punch stress which causes deformation of material, throughout deformation stresses are generated in numerous zones, which leads to numerous defects. The most important failure modes in sheet metallic elements are wrinkling and …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 47–53 Read article
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A REVIEW PAPER ON BENDING ANALYSIS OF SHEET METAL WITH VARIOUS PROCESS PARAMETERS
Abstract: Sheet metal forming is a mostly use and expensive developed process. decrease of response time and costs, increases of the efficiency and superiority of the manufactured goods are very important for survival in the competitive manufacturing industry. Using Finite element analysis as a simulation Technique we can evaluate the performance of components, equipment’s and structures for various loading conditions. A categorization of managing geometry and material nonlinearity with regards to …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 41–46 Read article
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A Review on Thermal and Structural Analysis of Disc Brakes in Motor Vehicles
Abstract: Braking is a technique that turns kinetic energy in a vehicle into mechanical energy that must be dissipated as heat. The frictional heat created at the disc-pad interface can cause high temperatures during the braking period. Thermal elastic instability (TEI), early wear, brake fluid vaporisation (BFV), and thermally stimulated vibrations can all be caused by frictional heat created on the rotor surface (TEV). In this research, a vehicle's solid type …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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Problem formulation for predicting optimum trans-esterification process parameters of biodiesel production and their performance analysis in diesel engine
Abstract: The various alternate fuels have been used in the past research to run the compression ignition engines. One of the fuel is the biodiesel which is used in the blended form with diesel. The emission parameters are reduced to 30-40% and the performance parameters are increased to some extent. This paper represents the various past research related to biodiesel based engines. The various steps in predicting the optimum process parameters …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 41–44 Read article
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Free Vibration Analysis of Laminated Composite Plates with Circular and Non-Circular Cutouts using FEM
Abstract: This paper presents the free vibration analysis of a composite laminated plate with circular and non-circular cutouts, using finite element method (FEM). A number of examples concerning different aspect ratios, different thickness ratios, different values of material properties, different size of cutouts, different number of layers and different boundary conditions are considered. Convergence study has been carried out by comparing the results obtained to the numerical results available in the …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 1–9 Read article
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Comprehensive Analysis of Electric Scooters: Investigating Challenges, Failures And Component Optimization for Enhanced Urban Mobility.
Abstract: Renewable energy, a global topic of discussion, has made significant strides in preserving our ecosystem. Environmental pollution stands as a critical issue, necessitating proactive measures for mitigation. The emergence of electric scooters represents a positive step towards environmental conservation; however, their acceptance as urban mobility vehicles is hindered by safety apprehensions. This research delves into e-scooter design, aiming to enhance productivity and address challenges. By identifying accidents and operational failures, …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 45–60 Read article
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Mathematical Model and Analysis of Dual Axis Solar Tracking Mechanism
Abstract: AbstractThe recent years have seen solar energy as one of the most potential candidate for electric power generation. However, the low output conversion efficiency still remains the matter for concern. The maximum power energy output relies on myriad environmental factors. This paper investigates the role of radiation intensity and panel position for better output efficiency and proposes an efficient dual axis solar tracking mathematical modelling that tracks the sun irrespective …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 1, 2018 · pp. 1–6 Read article