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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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Simulation of Different Propagation Models for WiMAX channel under Different Environments
Abstract: Today the Worldwide Interoperability of Microwave Access (WiMAX) technology is gaining popularity and gaining increasing acceptance as a Broadband Wireless Access (BWA) system. It is a IEEE 802.16 standard wireless communication technology that provides high speed data over a wide area. It is a point-to-point technology for using a multi-point wireless network. It has potential success in its line of sight (LOS) and non-linear (NLOS) operating conditions under the frequency …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 35–45 Read article
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A MODEL DRIVEN APPROCH FOR REQUIREMENTS ENGINEERING OF INDUSTRIAL AUTOMATION SYSTEM
Abstract: A model-driven approach to developing multiple, consistent user interfaces for your application. An Abstract UI (AUI) model constrained to dialogue flow maintains the fundamental similarities of different user interfaces.. In particular, we will consider how to customize the User Interface at his AUI level by deriving and customizing dialog structures that take into account the limitations imposed by the front-end platform or novice user. The generated user interface is integrated …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 3, 2022 · pp. 1–4 Read article
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Rainfall-runoff Modeling using HEC-HMS Hydrologic Model for Guder River Watershed, Blue Nile Basin, Ethiopia
Abstract: Rainfall-runoff modeling is important for a number of hydrologic applications including flood forecasting, water resource planning and management. This study presents the result of a watershed rainfall-runoff modeling for Guder river watershed having area of 6597 km 2 using Hydrologic Engineering Center-Hydrologic Modeling Systems (HEC-HMS). The watershed runoff is varying spatially and temporally due to manmade factors and natural factors on the watershed. These issue needs efficient water resource planning …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 62–77 Read article
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An Overview Mechatronics Systems Design of Modelica-Based Model Predictive Control Strategies for CO₂ Heat Pump Systems
Abstract: The growing adoption of renewable energy technologies poses challenges to energy supply stability, necessitating increased flexibility in energy demand. This paper introduces a Modelica-based Model Predictive Control (MPC) strategy aimed at keeping the supply water temperature within the range of 55°C to 75°C while minimizing energy consumption and electricity expenses throughout a year. A comprehensive, high-fidelity model representing a school building in Oslo, Norway, was developed using Modelica and exported …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
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Mode Choice Analysis: Fundamental and Models
Abstract: AbstractTravel behavior plays an important role in transportation planning. Mode choice has direct impact on the policy making decision. It is behavioral and complex in nature. The objective of this study is to carryout detailed review on various modeling methods of mode choice analysis. The factors that affect the traveler’s mode choice decision have been discussed. The methods of data collection have been briefly discussed. Further the paper highlights on …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 7–13 Read article
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Modeling of Sintering Process for the Preparation of Magnetic Abrasives by RSM and ANN Models
Abstract: In this study, a modeling has been done for the prediction of the sintering process, as sintering process is one of the best processes to prepare magnetic abrasives. The sintering process is modelled by using RSM and ANN techniques. The ANN model has been developed using a multilayer feed-forward neural network and trained with the help of an error backpropagation learning algorithm based on the generalized delta rule. The indication …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 5–12 Read article
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Errors-in-Variables Model for Photovoltaic Cell
Abstract: AbstractThe contribution of solar energy to the world's total energy supply has grown significantly. Energy from the sun is the most abundant and freely available energy on the planet. So, the importance of modelling the photovoltaic cell also increased remarkably. Many models for photovoltaic cell had been proposed since the beginning of the solar energy exploitation. Electronic equivalent circuit models, first-principles models and empirical models are the different modelling techniques …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 3, 2019 · pp. 8–15 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Model Predictive Control for a Distillation Column Model
Abstract: Model Predictive Control (MPC) is a multivariable control (requires specific handling of each input as coupling and interaction is of a far greater effect) and uses the internal dynamic model of the process, past control moves and an optimization cost function over the receding prediction horizon, to calculate the optimum control moves. In this paper, the relation between MPC parameters was studied on process constraints. Conical tank level single-input-single-output (SISO) …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 3, 2014 · pp. 11–19 Read article
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Property Estimation of Polymers: A Review
Abstract: AbstractPolymer production processes are facing the problems of optimization of production rate, increasing yield, waste minimization and environmental issues and product quality problems. These issues can be solved by designing efficient polymer manufacturing processes. Accurate properties of polymers are very important in designing efficient processes. Hundreds of property estimation methods are available for property estimation of polymers but the selection of the suitable property model is a challenging task. One …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 14–24 Read article
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Numerical Modeling of Elastoviscoplastic Material Model in Strain Space
Abstract: Conventional material non-linear analysis works with stress-space plasticity. It uses yield function, loading-unloading criteria, and flow rule in terms of stress parameters. It shows ambiguity in loading-unloading criteria for softening materials. During such situations, an alternative strain-space formulation becomes quite useful to carry out analysis of such materials. The viscoplastic response of materials requires the time integration of system of non-linear first order differential equations. In viscoplasiticy, the constitutive equation …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 9–14 Read article
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Predictability of Equation of State (EoS)-based Gas Hydrate Models for Single and Binary Gas Mixtures
Abstract: The better models are necessary to design and understand the phase behavior of produced trapped natural gas from natural gas hydrates from subsea environments. Most of the models available in an open literature are primarily applicable at relatively low pressure condition thus making their use very limited for gas hydrate reservoir modeling. In order to produce methane from these gas hydrates, it is important to understand the phase behavior through …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 83–91 Read article
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Effect of Silica Fume and Granite Powder on the Ratio of Mode II to Mode I Fracture Energies of Steel Fiber Reinforced Concrete
Abstract: The paper presents the results of an experimental investigation which assesses the effect of silica fume and also granite powder on fracture of steel fiber reinforced concrete under Mode I and Mode II loadings. Tests have been conducted on new notched beam specimens under pure shear (proposed in earlier paper of the authors). The test specimens made from concretes in which partial cement replacement (10%) by (1) silica fume and …
Published in Journal of Structural Engineering and Management · Vol. 1, Issue 3, 2014 · pp. 5–14 Read article
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Assessing Flow Pattern of Sabarmati River Portion at Hirpura Barrage Site Gujarat, India Using HEC-RAS Hydrodynamic Models and Physical Models
Abstract: A barrage is proposed to be constructed across river Sabarmati, 60 km downstream of Daroi dam to create reservoir within the bank for recharging and meeting water demand of nearby areas. For analyzing the flow pattern and assessing the hydraulic parameters of Hipura barrage on Sabarmati river near Hirpura village of Mehsana District of Gujarat, a 3D physical model with geometrically similar scale 1:80 for river reach 3 km (1 …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 46–51 Read article
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A Core Loss Model Based on Finite Element Method for Switched Reluctance Generator Considering Different Control Modes
Abstract: In the present paper, core loss modeling of switched reluctance generator (SRG) is proposed for the first time. Using ANSYS finite element (FE) package, 2D FE transient analysis of SRG is carried out and the stator pole flux waveform is predicted. To determine the flux waveforms in the different parts of the machine, an introduced mathematical flux model is considered and its algorithm is implemented in ANSYS Parametric Design Language …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 26–33 Read article
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Modelling of Spot Weld Features Using Solid Works and Experimental Modal Analysis of Resistance Spot Welded Thin Sheets of Low Carbon Steel Panels
Abstract: Resistance Spot Welding of thin (RSW) low carbon steel sheets are widely used in automotive, aero-space sectors, furniture, medical equipments, packaging and electronics industries. Although, RSW is well established for low thickness sheets and static design guidelines are well defined, the dynamic analysis of spot welded panels has not been studied in detail. In this paper, solid modeling is done using Solid Works incorporating all the spot weld geometrical features …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 29–39 Read article
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Biomechanical comparison of Schanz screws placement modes-how can stability by external fixation be raised?
Abstract: AbstractBackground: At present, external fixators are being used widely in open fractures of the long bones and also accepted as a temporary skeletal stabilization even in closed fractures. Therefore, it is essential to increase the stability which is provided by those devices for good outcomes. We hypothesized prior to the study that the greater is the distance between the Schanz screws inserted in each fracture fragment, the higher is the …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 25–33 Read article
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Fused Deposition Modelling-based 3D Printing: A Systematic Literature Review Employing VOS Viewer
Abstract: Fused Deposition Modelling, also known as FDM, has emerged as a major technology in the field of 3D printing. It provides adaptability and cost-effectiveness in the process of materializing intricate designs. This paper intends to conduct a complete bibliometric analysis (BA) of 3D printing based on fused deposition modelling (FDM) in order to comprehend the trend and research field. After extracting data from the Scopus database using the titles, abstracts, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 197–202 Read article
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Phygital: An Innovative Model for Developing Receptive Skills in English Through Learner Autonomy
Abstract: The study named “Phygital: An Innovative Model for Developing Receptive Skills in English through Learner Autonomy” tries to establish that it is an innovative scientific model, evidently distinguished from other prototypes such as blended learning, e-learning, flip learning, online learning, hybrid learning etc. The paper also tries to emphasize that it is best suited for the new age learners and that it enhances the receptive skills (listening and reading) in …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 1–9 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article