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1976 articles for “bending-mode piezoresistivity” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Nonlinear Semiconductor Device Modeling using Neural Networks
Abstract: This paper describes the nonlinear semiconductor (transistor) of small and large signal modeling using a single neural network. Multilayer perceptron (MLP) with back-propagation (BP) learning is adopted in this work to model the drain current (ID) and the transconductance (gm) of the transistor. MLP modeling performance in terms of mean square error (MSE) and complexity of the network are illustrated briefly. Artificial neural network (ANN) model outcome for nonlinear function …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 Read article
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Low Power RF QPSK MODEM Design
Abstract: System-level simulation including design of CMOS circuits for radio frequency QPSK MODEM targeting applications in 2.45 GHz industrial, scientific and medical (ISM) band has been presented in this paper. Based on the QPSK architecture, the MODEM consists of an analog mixer using a voltage multiplier, a 90 °phase shifter, delay circuits, a voltage adder and a filter to detect the information. A code reuse subsystem block consisting of Chebyshev filter …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 75–86 Read article
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A New Current Mode Quadrature Oscillator using Current Differencing Transconductance Amplifier (CDTA)
Abstract: This paper proposed a new current-mode quadrature oscillator using CDTA (Current Difference Transconductance Amplifier) as the active element. The proposed circuit uses only two grounded or virtually grounded capacitors, two grounded or virtually grounded resistors and two CDTAs. The functionality of the circuit is verified with the PSPICE simulation results.
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 1, 2014 · pp. 39–42 Read article
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Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
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Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
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Infusion of Traditional Wisdom and Modern Technology to Achieve Sustainable Dimension in Architecture and Built Environment
Abstract: Building sectors accelerate climate change, and the conventional method of construction affects the environment. This research aims to study the practice of infusing traditional techniques and modern technology in building construction that helps to achieve environmental sustainability without relinquishing indoor thermal comfort. This research analyses case studies of two residential buildings located in Ahmedabad, constructed on the conventional method and infusion method of construction, and conducts energy simulations of both …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 25–44 Read article
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Smart Bin Using GSM Modem
Abstract: AbstractIn the modern era, day-by-day urbanization has increased swiftly and waste production is also increasing day-by-day in the cities. Waste management has emerged as a major challenge for the cities. By the help of this paper we can achieve this good cause. In this paper, we are presenting the idea of smart bin which is based on Arduino and GSM modem Ultrasonic sensor is interfaced with GSM modem. Ultrasonic sensor …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 16–19 Read article
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BER Performance of Lognormal Channel Model with Imperfect CSI for Free Space Optical Communication
Abstract: ABSTRACT In this paper, Lognormal Channel model has discussed with the assumption of imperfect CSI. This channel model is used to describe atmospheric channel condition in mathematical form. BER performance of this channel model is shown according to turbulence scenario based on BER equation available. Here Gauss-Markov model is used for the case of imperfect CSI. Keywords-lognormal, Imperfect CSI, Gauss-Markov model, scintillation index,turbulence
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 3, 2012 · pp. 1–7 Read article
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Innovative Risk Aperture Manipulation Model for Risk Management in Mega Project Construction
Abstract: The complexities associated with the technical, managerial and financial interventions in mega project implementation accommodates greater risks, encapsulating the complete project period from inception to closure. Consideration of risks in mega project scope is of paramount importance as it delineates either threat or opportunity in the guise of uncertainty at each and every phase of the project. The absence of innovative and rigorous risk management structure imparts a perplexing scenario …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 11–24 Read article
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Study on Network Load on Various Mobile Ad Hoc Network Protocols Under the Random Walk Mobility and Random Way Point Model
Abstract: AbstractMobile ad hoc Network consists of mobile networks which create an underlying architecture for communication without the help of traditional fixed-position routers. MANET is group of mobile nodes which uses multi hop transmission for communication. Routing in MANET is challenging task, moreover presence of malicious nodes make the overall network very insecure furthermore dynamic nature of moving nodes adds to the complexity Mobility of the nodes has substantial influence on …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 21–25 Read article
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Cloud Services Models and its Security Features
Abstract: Cloud Computing plays a vital role in the time of internet. The goal of cloud computing is to transport the services and security. It provides setup and easy way of handling a vast data necessary to run organization positively. Cloud storage technology gets more expansion to attract multiple users. Storage capacity of cloud depends on the users. However, in storage representation, users’ data is all put in cloud servers. In …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 13–17 Read article
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Development of High Sugar Induced Hyperglycemia or Type 2 Diabetes in Zebrafish (Danio rerio) Model
Abstract: Type 2 diabetes (T2D) is the most common form of diabetes, accounting for about 90–95% of all diagnosed cases of diabetes in adult. It is mainly recognized by an increase in blood glucose levels, i.e., hyperglycemia. Earlier, zebrafish (Danio rerio) has been already used for the study of various metabolic diseases. In the present study, a validation study was done for the earlier developed acute hyperglycemia zebrafish model by using …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 60–66 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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Modeling the Novel Coronavirus Disease (COVID-19) as Hidden Markov Chains
Abstract: The Hidden Markov Model has over the years been an appropriate method for modeling diseases such as HIV AIDS, heart failure, and so on. With the ongoing pandemic affecting Nigeria by being responsible for 2,745 death cases out of 207,616 confirmed cases as of October 10, 2021, the need to study an important parameter of COVID-19, the case fatality rate by building a model and estimating the case fatality rate …
Published in Research & Reviews : Journal of Statistics Read article
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IMPACTS OF GREEN FACADES IN MODERN ERA
Abstract: Modern architecture was an architectural movement or style centred on cutting-edge construction technologies, particularly the use of reinforced concrete, glass, and steel. The foundational goal of 21st century architecture is to create better structures that are inherently sustainable by utilising better materials and technologies. Facades are the outermost covering of a building which have the maximum interaction with the environment. A wall that is completely or partially covered with vegetation …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 1, 2023 · pp. 44–57 Read article
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Effect of Fillet Radius on Bending Stress in Helical Gear using FEA
Abstract: A well-optimized change in root fillet radius could greatly benefit helical gear operation by providing a smoother transmission with less impact and noise. The fillet area of the gear root is an area of extensive bending stress concentration. An increase in fillet radius for helical gears is considered to minimise the bending stress at the gear tooth's base. This paper develops appropriate models of various gear tooth profiles of the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 129–136 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Designing an Educational Mentoring Model in Line with the Professional Development of Female Primary School Teachers with a Fuzzy Logic Approach
Abstract: The teacher is one of the most important elements known to have a close relationship with students and develop their various talents. If a teacher steps into the education scene with a new, creative and well-equipped attitude, he will naturally deliver capable, creative and new-thinking students to face life wisely and solve the problems of the human world. Therefore, the main goal of this research is to design an educational …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 35–50 Read article
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Super-twisting Algorithm Based Sliding Mode Controlled Boost Converter
Abstract: This work provides analysis of boost converter with super-twisting algorithm under sliding mode operating in continuous conduction mode. The super-twisting algorithm reduces the chattering effect which is inherent in conventional sliding mode control. Generally, chattering increases heat losses, thereby decreasing the performance of the boost converter. The aforementioned control strategy minimizes the initial current peak and provides highly improved output voltage regulation irrespective of the input voltage perturbation and load …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 38–48 Read article