Search
1976 articles for “bending-mode piezoresistivity” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
Nothing matched all of your words, so these match any of them.
-
A Conceptual Framework and Policy Analysis
Abstract: Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
-
Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 39–46 Read article
-
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
-
Algebraic Cloud Computing System
Abstract: AbstractAn algebraic cloud computing (ACC) is presented in this paper. The new algebraic equation is proposed over the finite field. This equation is applied to design a cloud model. The compact and generalized cloud models are presented based on the proposed equation. Simple parameter and fast formation are the additional advantage of the proposed model. Thus, this can be applied to design discrete cloud models for the discrete applications.Keywords: Algebraic …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 6–9 Read article
-
Stress Analysis of Leaf Spring Suspension System with the Combination of Helical Springs
Abstract: This research article deals with a modified version of leaf spring suspension system introduced for the optimization of existing leaf spring suspension system design, by the combination of two helical springs with the master leaf. To furnish this end, a semi-elliptical type mono leaf spring of light weighted mini truck is considered for design and modeling work. On both the sides of this mono leaf, a helical spring is designed …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 6–17 Read article
-
Augmented Reality in Vehicle Industry
Abstract: There is a nonstop and consistent change in the field of Augmented Reality (AR), both in the retail, and the manufacturing area. It has begun to impact all that from auto industry shows to online vehicle shopping. Purchaser overwhelmingly moved in the vehicle business; the ways are turning out to be more development than the old perceptive ones; the basic purchasing experience no longer fulfills them. Due to the increase …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 5–11 Read article
-
Evaluation of Electrical and Thermal Energy Performance of a Semi-transparent Photovoltaic Module Integrated Double Pane Window System Under Different Air Flow Strategies
Abstract: Prudent manoeuvring of waste heat generated in the air cavity of a double pane photovoltaic window can increase thermal output besides improving energy generation. This paper presents the performance of a Cadmium Telluride (CdTe) thin-film semi-transparent photovoltaic (STPV) module integrated double pane window system under three different modes of operation. The modes of operation cover direct and indirect influences of the indoor environment in the cavity air flow. For simulation …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 13, Issue 1, 2022 · pp. 1–14 Read article
-
Improved Gasoline Yield from Fluid Catalytic Cracker Riser Reactor
Abstract: The study focused on improvement and conversion of vacuum gas oil as feedstock to fluid catalytic cracker riser reactor with enhanced yield of gasoline, liquefied petroleum gas and fuel gas products and low yield of coke as undesired product. Thus, steady state performance models were developed for riser reactor as a plug flow reactor using five lump kinetic scheme to study the cracking operations. Models were developed for the riser …
Published in Journal of Catalyst & Catalysis · Vol. 9, Issue 3, 2022 · pp. 1–14 Read article
-
Risk Analysis of Infrastructure Projects - Case of Mumbai Metroline 1
Abstract: The study attempts to identify key risk factors during the execution phase of the Elevated Mumbai Metro Project by administering a structured questionnaire to professionals with substantially long work experience on different projects and extensive review of academic and industry literature. The various risks identified are categorized as related to client, contractor, consultant, material, labour, equipment and external risks. They are further evaluated by applying Failure Mode and Effect Analysis …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 3, 2019 · pp. 16–29 Read article
-
Fabrication of Delta-Frame 3D Printer to Reduce Print Time
Abstract: 3D printing refers to a process of printing 3-dimensional objects, also known as “rapid prototyping”. The reason behind the wide use of a 3D printer is that it enables the creators to deliver a model of what they want in a short period of time, which is tested and quickly remodelled if needed. This significantly decreases the expected time to get from the model stage to the final product. At …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 2, 2018 · pp. 12–16 Read article
-
Real Time Implementation of Cascade Process using NI ELVIS in LabVIEW
Abstract: The main objective of this work is to enforce PID controller in a real time process, and to find out the best robust control settings for cascade process. In this work, process variable level is controlled in a cascade mode. Level and flow are considered as primary and secondary variable, respectively. Process models of flow and level are identified as First order plus dead time models. Validated model is used …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 37–43 Read article
-
Extended Kalman Filter Application For Launch Vehicle Trajectory
Abstract: Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 41–49 Read article
-
Crack Initiation, Propagation and Stress Intensity Factor of Rectangular Plate with Circular Hole by FEA Approach
Abstract: The study of crack behavior in a plate with hole is a considerable importance in the design to avoid the failure. This situation has a look at offers with investigation of stress intensity factor, von-mises stress (ϭ von-mises) at the finite center cracked plate subjected to uniform tensile loading depends at the assumptions of linear elastic fracture mechanics (LEFM) and plane strain problem. The stress intensity factors mode I (KI) …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 13–36 Read article
-
Blind Image Quality Assessment: An Overview
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach relies on a simple Bayesian inference model to predict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The estimated parameters of the model are …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 1–3 Read article
-
Studies of Environmental Effect of Aluminium-2014 Alloy in 1m Acetic Acid using Extratcted Inhibitor
Abstract: AbstractThis examination considers distinctive natural elements influencing consumption under marine inundation conditions and proposes a scientific model consolidating their impacts on erosion corruption through the boat life. The examination receives a nonlinear capacity of time as the reference erosion model aligned with operational consumption information at long haul normal conditions to speak to the erosion conduct under standard natural conditions.Based on recently acquired field information, an erosion disintegration model is …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 2, 2020 · pp. 19–26 Read article
-
A REVIEW ON STRUCTURAL DESIGN ANALYSIS AND ENVIRONMENTAL AUDITING OF RAILWAYS
Abstract: In the present time, Indian railway is the major transport medium. It is so efficient, economic, and services are moderate eco-friendly technology. Changes are on the basis of engineering, logistics, time and luxury. The new structure has faced lots of challenges and every day demands led to some changes day to day. In so many years of Indian railway the tracks are challenging and quite tough which carries lots of …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 2, 2021 · pp. 28–39 Read article
-
An Innovational Approach for Assessment of Hypothetical Emergency Evacuation Distance in Pharmaceutical Industry
Abstract: Nobody predict an emergency or disaster situation especially one that affects them their employees and their business personally. The evacuation is a simple way to evacuate employee from workplace safely. It is very important that the evacuation is having a systematic approach, rules, regulation and design aspect concerns followed during the evacuation. There are number of principles factor and mathematical models which can simulate the evacuation systematically, so the evacuation …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 3, 2021 · pp. 31–36 Read article
-
Research on Adversarial Disturbance Based on Meteorological Time Series Data
Abstract: When the deep learning model is used to predict time series data, it is easy to be adversarially attacked. The time series data is sensitive to the abnormal disturbance and has strict requirements on the disturbance amount. To solve these problems, we propose to generate adversarial time series by adding disturbance terms to the original time series, and design an adversarial attack algorithm based on the importance measure (AAIM in …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 1–19 Read article
-
Hand Gesture Recognition
Abstract: The goal of this research is to detect and recognize hand motions. Photographs of hand gestures are captured using a camera and compared to images in the database; all images are divided in testing and training data set and converted into train. Record and test. record. This. records file trained in TensorFlow Mobile Net pre trained model. Loading of this model using karas gives us the best match of video …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 7–15 Read article