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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns

Corrosion of embedded steel reinforcement is the prime influencing factor that deteriorates the structural performance and reduces the serviceability of reinforced concrete (RC) structures, especially during earthquakes. In structural elements, RC columns play a vital role in transferring the superstructure's load to the substructure. The deterioration of RC columns can affect the structures' over

Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams

The ability of machine learning (ML) techniques to forecast the shear strength of corroded reinforced concrete beams (CRCBs) is examined in the present study. These ML techniques include artificial neural networks (ANN), adaptive-neuro fuzzy inference systems (ANFIS), decision tree (DT) and extreme gradient boosting (XGBoost). A thorough databank with 140 data points about the shear capacity of CR

Data-driven internet of things and cloud computing enabled hydropower plant monitoring system

Hydropower is one of the renewable energy sources that can play a crucial role to fulfil the global energy demand. However, the performance of the hydro turbine is severely affected by silt erosion and cavitation problems which causes a reduction in the overall efficiency of the plant. Various studies have been carried out and are available in the literature to investigate silt erosion and cavitat

Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders

The degradation of reinforced concrete (RC) structures has raised major concerns in the concrete industry. The demolition of existing structures has shown to be an unsustainable solution and leads to many financial concerns. Alternatively, the strengthening sector has put forward many sustainable solutions, such as the retrofitting and rehabilitation of existing structural elements with fiber-rein

IoT-Based Dam and Barrage Monitoring System

The total area of Uttarakhand is about 53,483 km2, where 86% area is mountainous and 65% is covered by forest. The two main rivers Ganga and Yamuna originate from Uttarakhand. In addition to these two rivers, Uttarakhand has a large river and canal network that provides hydropower with immense reach. In 1907, one of India’s first hydropower stations was commissioned at Galogi (Uttarakhand). At p

Air Quality Prediction-A Study Using Neural Network Based Approach

India is the 7th largest country by area and 2nd most populated country in the world. The reports prepared by IQAir revels that India is 3rd most polluted country after Bangladesh and Pakistan, on the basis of fine particulates (PM2.5) concentration for the year 2020. In this article, the quality of air in six Indian cities is predicted using data-driven Artificial Neural Network. The data was tak

Optimization of renewable energy sources using emerging computational techniques

Energy is essential for the sustenance of life. The energy and economy of any nation are interlinked—energy demand is generally proportional to the economic growth of the nation. In the present era, renewable energy (RE) is the primary area of interest to save fossil fuels, achieve sustainability, and reducing carbon emissions, as well as other gases in the atmosphere that create climatic problems

Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks

Cement manufacturing and utilization is one of the majorly responsible factors for global CO2 emissions. In light of sustainability and climate change concerns, it is essential to find alternative solutions to reduce the carbon footprint of cement. Secondary cementitious materials (SCMs) are helpful in reducing carbon emissions from concrete. One such solution is the use of agricultural waste as S

A Review and Analysis of Localization Techniques in Underwater Wireless Sensor Networks

In recent years, there has been a rapid growth in Underwater Wireless Sensor Networks (UWSNs). The focus of research in this area is now on solving the problems associated with large-scale UWSN. One of the major issues in such a network is the localization of underwater nodes. Localization is required for tracking objects and detecting the target. It is also considered tagging of data where sensed

Exercise for knee osteoarthritis pain : Association or causation?

Exercise is universally recommended as a primary strategy for the management of knee osteoarthritis (OA) pain. The recommendations are based on results from more than 100 randomized controlled trials (RCTs) that compare exercise to no-attention control groups. However, due to the inherent difficulties with adequate placebo control, participant blinding and the use of patient-reported outcomes, the

Ultra-wideband filtering antenna : Advancement and challenges

Ultra-wideband (UWB) is a short-distance radio communication technology that allows wireless networking inside the digital office and home with reliably high data rates across multiple devices [1]. However, some narrowband communication systems have existed in the UWB band, such as WiMAX (worldwide interoperability for microwave access) at 3.6 GHz, WLAN (wireless local area network) at 5.2 GHz, an

Power System Stabilization Tuning and Step Response Test of AVR : A Case Study

The voltage regulator keeps the generator voltage constant. The task of an automatic voltage regulator (AVR) is to maintain the stator voltage by changing the excitation current of the machine, resultant change in reactive power. AVR has many limiters like Volts per Hertz Limiter, Time delay overexcitation limiter, Instantaneous overexcitation limiter, under excitation limiter, stator current limi

Development of Efficient Prediction Model of FRP-to-Concrete Bond Strength Using Curve Fitting and ANFIS Methods

Externally bonded fiber-reinforced polymer (FRP) plates or sheets have become a common retrofitting approach for sustaining old reinforced concrete structures in the modern era. The capacity of FRP-strengthened structures cannot be accurately estimated because the bond strength between FRP and concrete surface is accurately unpredictable. Various studies are available in the literature to predict

The Use of Computational Geometry Techniques to Resolve the Issues of Coverage and Connectivity in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) enhance the ability to sense and control the physical environment in various applications. The functionality of WSNs depends on various aspects like the localization of nodes, the strategies of node deployment, and a lifetime of nodes and routing techniques, etc. Coverage is an essential part of WSNs wherein the targeted area is covered by at least one node. Computa

Contact allergy in Swedish professional ice hockey players

Background: Professional ice hockey players may contract irritant and allergic contact dermatitis. Aims: To investigate the presence of contact allergy (CA) in professional ice hockey players in Sweden. Methods: Ten teams from the two top leagues were assessed for potential occupational exposure to sensitizers. Exactly 107 players were patch tested with an extended baseline series and a working se

Synchronous Condensing Mode Operation of Hydropower Plants

Energy is the essential requirement of humans. It plays a major role in the development of any country. The present status of crude oil import of India in the financial year 2018-19 was around 22,64,98,000 MT of Rs. 7,83,183 crore and other fuels like LPG, MS, Naphtha, ATF, etc. were around 3,33,48,000 MT of Rs. 1,13,665 crore [1] and the total installed capacity of India is around 3,65,981.00 MW

Effect of wavelet filters on SFQ encoder performance for medical images

This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies

Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach

Silt is the leading cause of the erosion of the turbine's underwater components during hydropower generation. This erosion subsequently decreases the machine's efficiency. The present study aims to develop statistical correlations for predicting the efficiency of a hydropower plant based on the Kaplan turbine. Historical data from a Kaplan turbine-based hydropower plant was employed to create the

IoT based reliable and efficient vaccines monitoring and distribution system

A successful vaccination program depends on secure vaccine storage as well as safe and effective vaccine delivery. An Internet of Things (IoT) based vaccine distribution and monitoring model, which is used to transport and monitor vaccines to locations where they will be properly kept for eventual use, is developed and tested. Coronavirus (COVID-19) was first identified in December 2019 in Wuhan c