Search
12 articles for “Eigen Value Analysis”
-
INCREMENTAL DYNAMIC ANALYSIS, EIGEN VALUE ANALYSIS & RESPONSE SPECTRUM ANALYSIS OF EXISTING RC FRAMED BUILDINGS BY USING SEISMOSTRUCT SOFTWARE
Abstract: ABSTRACTCivil Engineering structures are designed to withstand environmental forces like earthquake, along with gravity loads. These forces are random and dynamic in nature. Therefore the response of the structure is also dynamic and that is what causes the unsafe and uncomfortable conditions.So, performance based analysis of the structure is required which can be achieved by Incremental Dynamic Analysis (IDA) as well as Response Spectrum analysis (RSA). But, Incremental dynamic analysis …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 25–52 Read article
-
A Review Study on Dynamic Analysis of Multistoreyed Buildings by using Seismostruct Software
Abstract: Civil Engineering structures are designed to withstand environmental forces like earthquake, along with gravity loads. These forces are random and dynamic in nature. Therefore the response of the structure is also dynamic and that is what causes the unsafe and uncomfortable conditions. So, performance based analysis of the structure is required which can be achieved by Incremental Dynamic Analysis (IDA) as well as Response Spectrum analysis (RSA). But, Incremental dynamic …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 53–63 Read article
-
An Improvement of Voltage Stability by Generator Bus Rescheduling
Abstract: This paper focuses on assessment and improvement of voltage stability by Georgeoschrin’s theorem using new evolutionary TLBO and PSO algorithm. In today’s environment, voltage stability maintained without sacrificing the power system parameters is really a herculean task. Generally, eigen value of reduced Jacobian matrix or Jacobian matrix of N-R base load flow analysis is well thought-out as voltage stability indices for weak bus identification. Here, the diagonal elements reduced Jacobian …
Published in Trends in Electrical Engineering · Vol. 7, Issue 2, 2017 · pp. 1–10 Read article
-
Identification of Safety Climate Factors for Major Hazardous Industries: A Study in Karnataka State, India
Abstract: AbstractMeasuring of safety climate in the industries provides state of safety level among employees of how management and workers deal with safety on a day to day basis. However, researchers have struggled over the past three decades to identify the predominant factors which influence the safety climate with an objective to establish empirical relationship between them. The safety climate questionnaire containing 81 items corresponding to 20 safety climate factors was …
Published in Journal of Industrial Safety Engineering · Vol. 5, Issue 1, 2018 · pp. 1–12 Read article
-
Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
-
SAFETY CLIMATE AND SAFETY SYSTEMS FACTORS AND THEIR RELATIONSHIP WITH ORGANISATIONAL ATTRIBUTES AND DEMOGRAPHIC CHARACTERISTICS OF EMPLOYEES IN MAJOR ACCIDENT HAZARDOUS INDUSTRIES IN KARNATAKA STATE, INDIA
Abstract: The present work evaluates the existing critical safety climate and safety system components in the Major Hazardous Industries in Karnataka state, India and establishes the quantitative relationship between them with the organisational and demographic characteristics using a Questionnaire method (containing 81 questions of various safety climate parameters and 53 questions of various safety engineering system parameters among 1029 employees in 22 major hazardous industries in Karnataka). A research instrument using …
Published in Journal of Industrial Safety Engineering · Vol. 6, Issue 1, 2019 · pp. 20–35 Read article
-
Microgrid System Control Identification and Evaluation for Enhanced Dynamic Operation
Abstract: Networking the distributed generators (DG) in a microgrid system involves a large number of electronic components and filters. Small changes or drifts in operating conditions as well as disturbances at the point of common coupling can excite the associated eigenvalues giving rise to slowly growing instability in the system. This article considers the stability of a microgrid system consisting of a micro alternator, wind generator, photovoltaic (PV) system, fuel cell …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 33–44 Read article
-
Design and Evaluation of Nano-cantilever Beam for Sensing Application
Abstract: Sensor array offers several advantages such as selectivity enhancement towards analytes,multiple component analysis etc. In case of an array system, we see that one cantilever beamcan be set as a reference, while the other beams are subjected to varying loads. As a result,even a very small deflection would be detected with the help of adjacent beams, henceenhancing the sensitivity of the cantilever. By using an array of beams with differentfunctionalization …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
-
Design and Performance Analysis of Silicon Photonic Waveguides for High-Speed Optical Communication
Abstract: The exponential growth of data traffic in data centers and high-performance computing systems necessitates a paradigm shift from conventional electrical interconnects to high- speed, low-power on-chip optical interconnects. Silicon Photonics (SiP) is the leading platform for this transition due to its compatibility with CMOS manufacturing and the high- index contrast between silicon (Si) and silicon dioxide (SiO 2 ). This paper details the design, simulation, and comprehensive performance analysis of …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 29–37 Read article
-
Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
-
Voltage Stability Study based on New Evolutionary Algorithm
Abstract: This paper describes a PSO optimization algorithm for voltage stability study and its enhancement based on proximity and mechanism analysis. This theorem is implemented based on Gershgorin’s Circle Theorem. The control variables responsible for enhancing the voltage stability limit are generator bus voltages at PV buses, the taps of On-Load –Tap-Changing Transformer. (OLTC), change in reactive power etc. The objective function of proposed algorithm is to maximize the minimal diagonal …
Published in Trends in Electrical Engineering · Vol. 7, Issue 2, 2017 · pp. 21–31 Read article
-
Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article