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52 articles for “Binary comparator”
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Design And Optimization Of High-Speed Array Multiplier
Abstract: An array multiplier is a digital circuit used for the rapid multiplication of binary numbers. It employs an array of logic gates to generate partial products concurrently, significantly enhancing speed. The array structure divides the multiplication task into smaller, parallel processes, allowing for efficient parallel processing of multiple bits. Each cell within the array manages specific bit-level multiplications, and their results are summed to produce the final product. This parallel …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 Read article
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LBP-HOG-Statistical-Wavelet Transform Feature Based MCA Classifier
Abstract: Face recognition systems use computer algorithms choose specific, recognizable features on a person’s face. With a mathematical representation, the information is compared to data on other faces acquired in a face recognition database. The distance between the eyes or the shape of the chin are two examples of these characteristics. The job of matching several facial modes, such as visible and near infrared images, is known as heterogeneous face recognition. …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 19–30 Read article
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Electron Impact Single and Double Ionization Cross sections of Cr Ions and Atoms
Abstract: The theoretical calculations of electron impact single and double ionization cross section of Cr ion/atom have been estimated from threshold 32 eV to 1000 eV and 40eV to 6000 eV impact energies respectively. The modified Binary Encounter Approximations (BEA) has been used in the aforesaid calculation. These theoretical electron impact ionization cross sections of Chromium ion are of pivotal importance in the several studies. The Accurate expression of , cross …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 01–10 Read article
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Study of Binary Systems Based on Butadiene-Terephthalate Rubber and Astragals and Its Rheological Properties
Abstract: Study of binary systems based on butadiene-terephthalate rubber and Astragals and it In this work, Nano sized astragals was used for the first time to modify butadiene terephthalate rubber. For this purpose, compositions were prepared to study the properties of butadiene terephthalate rubber with different astragals contents of 1, 3 and 5 mass parts. Their results were compared with the control composition without nanoparticles. The presence of astragals and its …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 153–169 Read article
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Design and Implementation of A 4-bit Multiplier using Wallace Tree Architecture in 180 nm Technology
Abstract: Over the period of last decade, power dissipation has become one of the most important factors for VLSI designers in the design of most digital systems. Even though the speed and area are considered to be the critical factors in design of digital systems, there is a trade of with power consumption. Adders and multipliers are the most important arithmetic units in a processor and the major sources of power …
Published in Journal of Microcontroller Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 17–23 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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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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Water Permeability of Hybrid Steel Fiber Reinforced Concrete
Abstract: Results of an investigation conducted to study the water permeability of (HySFRC) are presented. Steel fibers of different lengths, i.e., 12.5, 25 and 50 mm having constant diameter of 0.6 mm were systematically combined in different mix proportions to obtain mono, binary and ternary combinations corresponding to 0.5, 1.0 and 1.5% fiber volume fractions. A reference concrete mix containing no fibers was also cast for comparison purpose. A total number …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 2, 2014 · pp. 30–37 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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Time Multiplexed Binary Offset Carrier (TMBOC) Transmitter with Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR)
Abstract: This paper provides insights into Time Multiplexed Binary Offset Carrier (TMBOC), a modulation technique employed in satellite navigation systems, specifically designed for GPS L1C. TMBOC improves signal correlation properties by time-multiplexing Binary Offset Carrier (BOC) (1, 1) and (6, 1). The text discusses various TMBOC models, including spectral representations and power distributions. Performance analysis reveals the potential of TMBOC signals in achieving superior tracking accuracy and interference resistance compared to …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 34–49 Read article
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Design of a Multipurpose Ternary Arithmetic Circuit Using CNTFET
Abstract: AbstractIn this paper, a multipurpose ternary arithmetic circuit is presented for ternary processors based on carbon nanotube field effect transistors (CNTFETs). Both addition and subtraction can be performed using same circuit’s configuration, which is the special feature of the proposed circuit. The combination of pseudo and complimentary logic structure are employed to blend the binary and ternary logic techniques. The propagation delay and power delay product are 139.5 pico second …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 1, 2016 · pp. 13–24 Read article
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Comparison of Under Nutrition Among 6–59 Month Children of Food Secure and Insecure Households in Artumafursi District, Oromiya Special Zone, Amahara Region, Ethiopia, 2016
Abstract: Background: Under nutrition remains one of the most common causes of morbidity and mortality among children under-five years of age throughout the world. Objective: This study was aimed at comparing the magnitude of under nutrition among children of 6–59 months of age of food secure and insecure households in Artumafursi district, South East Amarha, Ethiopia. Methods: Community-based comparative cross-sectional study was conducted among 1078 children from March to June 2016. …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 12–22 Read article
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Messenger RNA Approach for Identifying Inter-nucleotide Signals using Genomic Sequences
Abstract: The inter-nucleotide signals are a novel way of genomic signal representation of genomic data which is seen to have a discriminatory capability in highlighting the promoter region of gene sequences. The results of applying DFT to in genomic sequence signals that they can discriminate using messenger RNA for identifying inter nucleotide sequences. Genomic Signal Processing (GSP) applications in bioinformatics research have received great attention in recent years, where new effective …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 1, 2014 · pp. 16–20 Read article
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A Survey on Different Speech Enhancement Algorithms used in Hearing Aid Application
Abstract: AbstractThe requirement for efficient speech enhancement techniques in hearing prosthetics is encountered for many practical applications. Existing speech enhancement algorithms can improve speech quality but not speech intelligibility and reasons for that are unresolved. In the development process of noise reduction algorithms, an objective with speech intelligibility is of great interest. In this review paper, different algorithms for hearing prosthetics are studied. After reviewing standard methods used for speech intelligibility …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 1, 2016 · pp. 1–5 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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A Novel Current-Mode Quaternary Multiplier with Indian Vedic Architecture
Abstract: A multiplier is a fundamental block of any digital signal processing system. Urdhva Tiryakbhyam sutra, from ancient Indian Vedic mathematics, offers regular and hierarchical multiplier architecture. Alternatively, current-mode multi-valued logic results in reduced circuitry and effective utilization of interconnections. In this paper, a new 4×4 current-mode quaternary Vedic multiplier design is proposed. The multiplier has been simulated using 0.18 µm technology with a power supply of 1 V and a …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 37–46 Read article
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An Optimized 32 bit Carry Select Adder Using Modified BEC
Abstract: AbstractAdders play a major role in addition of numbers, multiplications and other advanced processors’ design. Among the conventional adder structures, carry select adder is known to be fastest adder. This adder circuit is used for the design of high speed processors. The CSLA adder architecture is such that it is of less power dissipation, area efficient and high speed. CSLA circuit for 8, 16, 32 bits is designed without multiplexer …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 2, 2018 · pp. 27–32 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Analogy between Various Edge Detection Algorithms
Abstract: Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 39–44 Read article
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Binary Shape Segmentation and Classification using Coordination Number (CN)*
Abstract: We proposed a novel, micro-structures, shape-preserving local descriptor for contour-segmentation- based binary object classification and recognition, named local coordination number count (LCNC). In this method, we formulate the problem by estimating the 8-neighbourof each binary object pixel. In the matching stage, we used Euclidean distance between eigenvalues corresponding to correlation coefficient and the dynamic programming to find out the optimal correspondence between boundary smoothness of two shapes. Experimental results obtained …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article