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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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Finite Element Modelling of Contact Stresses in Helical Gear Systems
Abstract: Helical gears are widely used in modern power‐transmission systems because of their high load‐carrying capacity, smooth meshing action, and increased overlapping of gear teeth. However, the design of helical gear pairs is constrained by contact stresses generated at the mating tooth surfaces, which can lead to surface fatigue (pitting), micro-cracking, and ultimately gear failure. Traditional analytical methods, such as those of the American Gear Manufacturers Association (AGMA) or International Organization …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 35–39 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
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Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
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Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices
Abstract: The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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MATLAB Simulation of Partial Power Converter with Dual- Mode Inverter for Solar Conversion
Abstract: The growing insertion of solar photovoltaic (PV) systems in the modern power systems requires high-efficiency, compact and reliable power conversion solutions. The traditional PV conversion system generally uses full-power processed DC-DC converters followed by inverters, which increases conduction and switching power losses, especially at higher power ratings. To overcome these challenges, this paper proposes a partial power processed resonant converter with a dual-mode transformer-less inverter for efficient solar PV power …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 33–43 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Dependency of pure liquid pool boiling heat transfer coefficient to bubble contact angle on roughened Brass heater in new model
Abstract: Heat transfer coefficient of nucleate pool boiling Nucleation is a basic part of phase transformations, which plays an important role in understanding and describing any phase change processes. For a boiling process, nucleation appears in the initial stage, and directly affects bubble formation and boiling intensity. According to the heterophase fluctuations which induce phase transition, the phase change has two main types. Classically, phase change caused by the fluctuation with …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 2, 2022 · pp. 29–36 Read article
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A Vehicle Emission Tax Model: To Promote Adoption of Zero Emission Vehicles for Indian Context
Abstract: Vehicle tailpipe emissions have been regulated by the authorities over the period of time forcing vehicle manufacturers in improving engine technologies to comply with the government stipulated norms. Improvement in engine designs has reduced vehicle tailpipe emissions to the extent of emissions to meet the notified norms. Historically, such a reduction in vehicle emissions has been achieved in steps/stages as and when new emission norms were notified. It is proposed …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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Mathematical Model and Analysis of Dual Axis Solar Tracking Mechanism
Abstract: AbstractThe recent years have seen solar energy as one of the most potential candidate for electric power generation. However, the low output conversion efficiency still remains the matter for concern. The maximum power energy output relies on myriad environmental factors. This paper investigates the role of radiation intensity and panel position for better output efficiency and proposes an efficient dual axis solar tracking mathematical modelling that tracks the sun irrespective …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 1, 2018 · pp. 1–6 Read article
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Vertical Axis Wind Turbine Modeling and its Analysis Using ANSYS
Abstract: Research on small wind turbine (SWT) is on the upswing in the last five years, as there is a need of energy producing machines to compensate with the fossil fuel based energy. The green technology wishes to create environment friendly energy producing devices based on wind or solar technology. In this paper, an attempt is made to make use of already existing waste wind energy produced by high speed moving …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 1, 2017 · pp. 26–32 Read article
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Temperature Control of Heat Exchanger using Sliding Mode Control Law
Abstract: Shell and tube heat exchanger system is widely used in chemical plants as it sustains wide range of temperature and pressure. The main purpose of heat exchanger is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is having prime importance. To control the temperature of outlet fluid of shell and tube heat exchanger, a conventional PID controller can be used. But …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 14–26 Read article
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Model based Tuning of PID Controller
Abstract: In this paper PID controller with Internal Model Control tuning method (IMC-PID) is presented for robust operation. The implementation of IMC is simplified in large class of industrial applications as the process dynamics can be adequately characterized by a First Order plus Delay Time (FOPDT) model. Tuning of the controller is easily done by adjusting the filter time constant which provides improved performance and robustness of the closed loop system. …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article
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Model Based PID Controller for SISO and MIMO System Control
Abstract: In this paper, model based PID controller design method is presented for single variable and multivariable processes with enhanced performance. Adequate responses can be anticipated for processes with various dynamics like high-order, large dead times, and oscillatory response. The design method is used first order plus dead time (FOPDT) modelling technique. For controller design higher order process models are approximated in the form of FOPDT and obtained controller is applied …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 9–16 Read article
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Modeling Reaction Rate of Dispersion Coefficient and Oxygen Deficit on Nitrobacteria Transport in Onu-Imo River
Abstract: The migration rate of nitrobacteria in the Onu-Imo River was monitored based on some variables that determine the predictive model for such pollution transport. These parameters were factors applied in developing the derived model for the study. The variables were integrated into the system to monitor their various rates of impact on the transport process in the study environment. This was monitored by applying a one-dimensional flow transport system at …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 1, 2021 · pp. 28–41 Read article
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Small-Scale Model Study on the Load-Deflection Characteristics of Single Piles under Static Lateral Load
Abstract: The capacity of a certain mathematical model to mimic a behavior occurring on a larger scale often concerns engineers. To evaluate a particular structure's safety factor, model uncertainty is an important consideration. Piles have been widely used to support axial and lateral loads for a wide range of structures, including high-rise buildings, transmission towers, power plants, offshore structures, highway and railway structures. Many transmission towers, high-rise buildings, highway and railway …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 47–55 Read article
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Bendable Microstrip Antenna with Partial Ground for Textile Related Applications
Abstract: AbstractIn this article, the bendable microstrip antenna with the partial ground plane is proposed. The anticipated antenna is made of jeans substrate and applicable in the frequency range 1.90 GHz to 6.81 GHz with a bandwidth of 112.74 %. There is comparison reference antenna and anticipated antenna. The proposed bendable wearable antenna is used in the textile related application.Keywords: Bendable Microstrip Antenna, CST software, Jeans Substrate Cite this ArticleDeepa Rani, …
Published in Journal of Microwave Engineering and Technologies · Vol. 5, Issue 2, 2018 · pp. 17–21 Read article