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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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Comparative Study of Aggregate and Disaggregate Traffic Forecasting Technique for Industrial Corridor: Case Study of Vadodara District
Abstract: AbstractTransportation occupies a prominent place in modern life and its impact is spread in all domains of life. Transport planning is a discipline to study problems rising while planning transport facilities at urban, regional or national level and to prepare efficient basis for providing such facilities. Aim of transport planning at regional level is provision of connectivity and circuity with other regions as well as for expansion of existing facility …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 14–21 Read article
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Study of Uncertainty Quantifications for Designing Smart Systems
Abstract: Uncertainty is an innate piece of this present reality. No two actual examinations at any point produce the very same result values and numerous significant sources of info might be obscure or immense. Uncertainty impacts practically all parts of designing displaying and plan. Engineers have long managed estimation mistakes, unsure material properties, and obscure plan request profiles by including elements of wellbeing and widely testing plans. By more profoundly getting …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 1–5 Read article
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Review and Analyze Low Cross Polarized Feed for Offset Parabolic Reflector Antenna for S-Band Application
Abstract: This study discusses the design of low cross polarized feed for offset parabolic reflector antenna and its application. Conical corrugated horn antenna consists of an input mode TE11 and the corrugation part requires a transition to HE11 mode for propagation. The paper presents the widely used design of TE11-HE11 mode converter i.e. Variable slot mode converter. Three different design of corrugated horn antenna is presented for optimizing the value of …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 30–36 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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Rooftop Layout Optimization for PV Installation using GIS
Abstract: In this work, we develop a new modelling process to optimize the PV installation layout on industrial building rooftops; the model searches for maximizing the number of installed PV panels in a defined spot area, characterized by its shape, size, tilt and orientation. The study focuses on areas of latitude between tropics, but is useful for other latitudes. The method is applied to an industrial conglomerate of reference, made up …
Published in Journal of Remote Sensing & GIS Read article
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Design and Implementation of Low Noise Power Low and High Speed Three Stage Comparator Using 16nm Technology
Abstract: To meet the demands of quicker operation and reduced noise levels, this study proposes a new CMOS Three-based comparator version. Efficiency may be significantly improved by comparing the suggested model to existing ones. This is so because the suggested comparator would improve the efficiency of the current amplifier design. The suggested model drives the input pairs of the regenerator and the amplified stage, making for a quicker comparator. The structure …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 10–16 Read article
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Research on Selection Method of the Optimum Alternative Using Improved AHP Method in NSDL Environment
Abstract: In this paper, we have considered the development of a decision-making tool to optimize the design of the ship-roll fin stabilizer using improved analytical hierarchy process (AHP) in a network-oriented system description language (NSDL) environment developed by combining the advantages of Petri nets and object-oriented programming languages. First, we have considered the network-oriented system description language NSDL, a new software development tool that combines the advantages of Petri nets and …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 46–56 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Accuracy Improvement for Propeller Cavitation Noise Prediction Using UDF
Abstract: Recently, there has been an increase in demand for propulsion systems with higher hydrodynamic performance and lower underwater-radiated noise, as environmental issues are gaining more attention in addition to the traditional military necessity. It is important to reduce cavitation noise when designing propellers of the ships, especially for oceanographic research vessels because they use acoustic instruments and cavitation noise can interfere with their operation. It is well known that, when …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Continuous Commissioning Techniques for Ground Source Heat Pumps: Review
Abstract: This study offers a model-based continuous commissioning methodology to find control-related performance gaps in HVAC systems with ground-source heat pumps. Traditional continuous commissioning is still helpful in finding energy performance gaps, even if MBCCx employs a system model as a reference to find operational inefficiencies and control issues arising from subsystem integration. A calibrated physics-based model that depicts the system performance as intended during the design phase forms the basis …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 22–36 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Interfacial Bonding Efficiency in Jute-Carbon Fiber Polyester Matrix Composites Evaluated Through Short-Beam Shear and Interlaminar Fracture Toughness Testing
Abstract: The natural Fiber–synthetic Fiber hybrid composites are jute–carbon Fiber hybrid in polyester matrix which could be used in semi-structural applications of automotive, construction and marine industry as an eco-friendly and cost-effective alternative of conventional carbon Fiber reinforced polymer. But the hydrophilic nature of jute Fibers and the relatively inert surface of carbon Fiber’s cause weak bonding at the interface of the polyester matrix, which causes premature delamination, poor interlaminar shear …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 68–80 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 12–19 Read article
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Thevenin and Norton Resistance Using Time Domain Analyses Using Spice Simulations
Abstract: Thevenin and Norton equivalent circuits are of interest to circuit simulation designers and researchers. For the Thevenin resistance and Norton conductance determination of a network with available circuit theorems, the substitution network theorem (applied to OrCAD, SPICE, and Pspice AD simulation project) is shown to be suitable with the SPICE/ Pspice circuit simulation software. Instead of the DC option, the transient analyses option of SPICE is used to determine Thevenin/Norton …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 8–18 Read article
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Evaluation of the effect of fuel preheat on the performance and emission of a diesel engine using regression analysis.
Abstract: In this work an attempt was made to determine the effects of loading in Kirloskar 3.7 kW single cylinder, four stroke, compression ignition engine with “diesel and biofuel”as fuels. The effects of ‘fuel preheat’ on brake power and emission characteristics were investigated. The fuel preheat temperature was increased from 35C to 50C and emissions like CO and HC were found to be decreasing considerably, but, slight increase in brake power …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 36–41 Read article
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Characterization and Optimization of Neem Leaves and Moringa Seed Husk-based Composite Activated Carbon for Efficient Adsorption of Methylene Blue Dye
Abstract: The research in question was meticulously conducted within the premises of the Nigerian Liquefied Gas (NLG) Engineering laboratory, situated at the esteemed University of Maiduguri, Nigeria. This study focuses on the development and characterization of a composite material derived from neem leaves (NL) and Moringa seed husk (MSH) to adsorb methylene blue (MB) dye effluent. The synthesis process involved pyrolyzing MSH and NL at 400°C to produce MSH and NL …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 3, 2023 · pp. 12–22 Read article