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1219 articles for “Signals”
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Algebraic Cloud Computing System
Abstract: AbstractAn algebraic cloud computing (ACC) is presented in this paper. The new algebraic equation is proposed over the finite field. This equation is applied to design a cloud model. The compact and generalized cloud models are presented based on the proposed equation. Simple parameter and fast formation are the additional advantage of the proposed model. Thus, this can be applied to design discrete cloud models for the discrete applications.Keywords: Algebraic …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 6–9 Read article
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Electronic Security System based on Probabilistic Elliptic Curve
Abstract: AbstractThis paper proposes a new Electronic Security System (ESS) based on Probabilistic Elliptic Curve (PEC). Its security interacts with the counting the points of the elliptic curve over finite field and the efficiency interact with the probabilistic representation of elliptic curve. The discrete data set of the probabilistic elliptic curve provides the keys (private and public) and the hardness of the problem provides the security in the proposed ESS.Keywords: ESS, …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 15–19 Read article
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Compact Wireless Network based on Probability-matrix Theory
Abstract: AbstractIn this paper, the wireless network is studied through probability-matrix theory. The channel capacity is formulated by this theory. The trace representation of the transmission of the information through the wireless network is studied over the logarithmic-binary formulation. The wireless network characterized by the binary sets then the information transmits over the noisy networks. The input and output of the information processed by coding thus the possibility of the error …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 10–14 Read article
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A Review Paper on Importance of Artificial Intelligence
Abstract: Artificial intelligence is a kind of “universal global neural network” which connects different things easily with their algorithms and software. Artificial intelligent is the intelligent machine which works better than human beings. It is replacing the work done by human beings from machines. This technology is rapidly increasing day-by-day. Already we have so many applications of this technology are used tremendously. Machine learning, problem solving and perception are the part …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 1–5 Read article
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Smart Irrigation Monitoring System
Abstract: AbstractIn this paper we develop a fully Smart Irrigation System based on Node MCU ESP8266 and an IoT app, the BLYNK. Basically, information from a plantation will be captured, temperature and humidity, both of air and soil. Based on those data, then we will decide the right amount (and when) the plantation should receive heat and water. Also, the project should allow manual intervention of an operator in order to …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 20–22 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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Fuzzy Variable Frame Analysis for Speech Recognition
Abstract: AbstractRecent works in machine learning has focused on models such as support vector machine (SVM), artificial neural network (ANN) and long short-term memory (LSTM), for automatically controlling the generalization and parameterization of the optimization process. This paper presents a fuzzy interpretation frame analysis procedure using LSTM classifier for noisy speech at word level using thresholding and local maxima procedure at framing level for the recognition process. Front end MFCC procedure …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 9–18 Read article
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Remote Sensing Accession from Imagery
Abstract: AbstractRemote sensing (RS) apt scaled from balloon-aided physical camera to multispectral regime after exploring of hyperspectral sensors made of integrated circuits. Device prosecutions to segment-wise deduction has studied to scale point to point explore. Multi-aspect in any consideration explored hyper-linking for any consideration. Band explore by sensors achieves coarse-to-fine adjustments for any investigation. Atmospheric absorption of linking radiant energy has subjected to incorporate additional algorithm to claim actual of actuals …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 5–8p Read article
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Segments to Evaluate Remote Sensing Imagery
Abstract: AbstractSegmentation is scheme to rely accused formation by unconventional modeling. This is first step to increase resolution of as object specific formation. Petitioning to scale is algorithmic segmented binary pixel grouping between two subjectively heterotypic forms. Nevertheless noise free has favored grouping of pixels so as comparable to real object. Parameters for segment scale are typified shape like cube or circle, color, compactness and growth of image when subjected towards …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 19–22 Read article
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Analysis on Link Prediction Algorithm for Social Network
Abstract: AbstractThe paper presents the analysis on link prediction algorithm for social network. Link prediction is one of the essential problems in computational social science. A principally general means to predict subsistence of unnoticed links is via structural similarity metrics, such as the number of common neighbors; node pairs with higher similarity are thus deemed more expected to be linked. There have been many algorithms to solve for the link prediction …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
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Failed Component Image Acquisition Quality Optimization for Machine Vision System
Abstract: AbstractWith the rapid development of the global semiconductor industry, electronic products are required to have new ideas, diversified functions, and thinness and shortness. The ball grid array (BGA) packaging technique arranges solder balls in a matrix mode on the bottom of the component substrate, so as to increase the functional density. The dye stain test is extensively used for array component failure analysis; however, the operation takes time and extends …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 17–25 Read article
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Image Enhancement Using Super Resolution Technique
Abstract: AbstractThe proposed super resolution technique finds it’s applicability in reconstructing a distorted image to a higher resolution image. The photographs consisting of the previous techniques were drawn towards lower force light which was considered to be a huge disadvantage. In view of this default, a novel strategy of Histogram. Equalisation is introduced and further detailed investigation is carried on. Light Enlightenment and picture quality is improved using the proposed technique. …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 12–16 Read article
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Home Security using Facial Recognition
Abstract: AbstractFace detection entails the technology that identifies the human face in digital images. Face detection can be used in various applications. One of the major areas of application of face recognition is in security systems. We know that a smart security system is the need of the hour and has become a necessity in today’s time. It is the basic need of humans to be able to protect one’s home …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 5–11 Read article
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GHS Label Detection Using Color Segmentation
Abstract: AbstractThis research presented the Globally Harmonized System (GHS) label detection by color segmentation approach. The researcher adapts this approach for identify boundary of each color pixels in Different environment image set. Experimental result shown the detection model have high accuracy. However, the mainly cause of error processing is asymmetrical GHS label in sample image that.Keywords: Color Segmentation, Image Processing, GHS Label Detection, Computer VisionCite this ArticleSansanee Hiranchan. GHS Label Detection …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 26–32 Read article
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Smart Traffic Control System with Overriding Technology
Abstract: Traffic directing and monitoring is becoming a difficult task now a days. Present day traffic light control system is based on a fixed time breaks of green, orange and red signals and thus the waiting time of vehicle is more and uses more fuel. Hence, ejection of CO from the vehicles at that region is more. Another major problem is the possibility of emergency vehicles to get stuck in traffic …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 24–27 Read article
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Embedding Dual Watermark in the G-Channel Image Using DCT and 2-D Walsh Code
Abstract: This paper uses two dimensional Walsh coding for blind twofold watermarking algorithm which mixes robust copyright watermark and authentication information into various color images to maintain the copyright ownership of the host images. First watermark i.e. fingerprint image is embedded in the DCT low frequency coefficients of the G-channel image of host image where as the second watermark i.e. mobile phone number is embedded in the DCT block of G-channel …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 27–34 Read article
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Speaker Recognition System Through Matlab
Abstract: This paper presents the work on the Speaker Recognition System through the MATLAB software. Speaker recognition means recognizing the person who is actually speaking rather than knowing what has been said. This system is widely used in banking, security systems, voice mail, etc. This paper presents three stages of the system, namely, the voice acquisition stage in which data (speech signal) is acquired from the speaker and is stored for …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 26–29 Read article
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Implementation of an Adaptive Filter Algorithm with Subband Filtering Approach on Acoustic Echo Cancellation
Abstract: This paper focuses on model and its realization on digital signal processors (DSP) for suppressing annoying acoustic echoes in telephone and mobile communication applications. For cost sensitive subscriber devices and high quality voice communications the aims are 1) minimum computational complexity 2) maximum convergence speed and 3) maximum echo attenuation. The chosen method for the echo cancellation involves a sub band decomposition performing the adaptive filtering in subbands at a …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 28–34 Read article
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Perceptual Features Based Continuous Speech Recognition in Additive Noise Environment Using Various Modelling Techniques
Abstract: The main objective of this paper is to discuss the effectiveness of Mel frequency perceptual features and the noise reduction technique in evaluating the performance of multi speaker independent continuous speech recognition system in additive noise environment by using various modelling techniques. The proposed perceptual features are captured and trained using clustering technique, GMM, continuous density HMM and back propagation neural networks. Speech recognition system is evaluated on clean and …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 67–81 Read article
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The Estimation of Time-varying Parameters – A Malliavin Calculus Approach
Abstract: The Malliavin derivative of the Malliavin calculus is used to estimate the time-varying amplitudes that appear in the sum of signals or time-varying regression models. A closed form solution is obtained for the estimates of the time-varying amplitudes. The duality principle of the Malliavin calculus is then used to find a numerically tractable expression for the estimates. Given are examples and comparisons to existing methods.
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 93–105 Read article