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The purpose of this paper is to prevent the destruction of other parts of a wind energy conversion system because of faults, the diagnosis of insulated-gate bipolar transistor (IGBT) faults has become an essential topic of study. Demand for sustainable energy sources has been prompted by rising environmental pollution and energy requirements. Renewable energy has been identified as a viable substitute for conventional fossil fuel energy generation. Because of its rapid installation time and adaptable expenditure for construction scale, wind energy has emerged as a great energy resource. Power converter failure is particularly significant for the reliable operation of wind power conversion systems because it not only has a high yearly fault rate but also a prolonged downtime. The power converters will continue to operate even after the failure, especially the open-circuit fault, endangering their other parts and impairing their functionality.

The most widely used signal processing methods for locating open-switch faults in power devices are the short-time Fourier transform and wavelet transform (WT) – based on time–frequency analysis. To increase their effectiveness, these methods necessitate the intensive use of computational resources. This study suggests a fault detection technique using empirical mode decomposition (EMD) that examines the phase currents from a power inverter. Furthermore, the intrinsic mode function’s relative energy entropy (REE) and simple logical operations are used to locate IGBT open switch failures.

The presented scheme successfully locates and detects 21 various classes of IGBT faults that could arise in a two-level three-phase voltage source inverter (VSI). To verify the efficacy of the proposed fault diagnosis (FD) scheme, the test is performed under various operating conditions of the power converter and induction motor load. The proposed method outperforms existing FD schemes in the literature in terms of fault coverage and robustness.

This study introduces an EMD–IMF–REE-based FD method for VSIs in wind turbine systems, which enhances the effectiveness and robustness of the FD method.

This proposed drone is used for surveillance purpose like medical, agriculture and military in the commercial point of view with less cost and size.

During emergency calls out the technology enabled modes to have quick and timely response for the mankind. As human society continues to spend months together locked inside their homes, it leads to the entire change in the human lifestyle. This also demands the society and the government to get adopt with the technological concepts such as drones to handle this pandemic scenario in a more scientific and safe mode. The major constraints in the utility segment is the cost and performance factor of the drones. This paper aims to design a drone flight management system, which can be used to operate single or multiple drone systems in a wireless mode. The major focus of this work is to minimize the cost of drone flying systems so that it can be accessible to a more massive crowd. The technological design behind the drone has been discussed in detail with mathematical equations. Also the control aspect has been presented in this work. For comparative analysis three drone have been designed and their performance have been compared.

The multi drone is designed , modelling is done and implemented in simulation and hardware. Its having less weight and cost compared to existing drone models.

75% original, 25% of the basic clarifications are taken from existing works.

Corona Virus Disease 2019 (COVID-19) is a deadly virus named after severe acute respiratory syndrome coronavirus 2; it affects the respiratory system of the human and sometimes leads to death. The COVID-19 mainly attacks the person with previous lung diseases; the major cause of lung diseases is the exposure to nitrogen dioxide (NO2) for a longer duration. NO2 is a gaseous air pollutant caused as an outcome of the vehicles, industrial smoke and other combustion processes. Exposure of NO2 for long-term leads to the risk of respiratory and cardiovascular diseases and sometimes leads to fatality. This paper aims to analyze the NO2 level impact in India during pre- and post-COVID-19 lockdown. The study also examines the relationship between the fatality rate of humans because of exposure to NO2 and COVID-19.

Spatial analysis has been conducted in India based on the mortality rate caused by the COVID-19 using the data obtained through Internet of Medical things. Meanwhile, the mortality rate because of the exposure of NO2 has been conducted in India to analyze the relationship. Further, NO2 level assessment is carried out using Copernicus Sentinel-5P satellite data. Moreover, aerosol optical depth analysis has been carried out based on NASA’s Earth Observing System data.

The results indicate that NO2 level has dropped 20-year low because of the COVID-19 lockdown. The results also determine that the mortality rate because of long-time exposure to NO2 is higher than COVID-19 and the mortality rate because of COVID-19 may be a circumlocutory effect owing to the inhalation of NO2.

Using the proposed approach, the COVID-19 spread can be identified by knowing the air pollution in major cities. The research also identifies that COVID-19 may have an effect because of the inhalation of NO2, which can severe the COVID-19 in the human body.

A Digital Twin (DT) is a digital replica of an artefact which is updated on real-time or semi–real-time basis. In 2017, Gartner listed DT as one of the top 10 emerging technologies of the year. Since then, there have been numerous attempts to develop architecture and reference models for DTs, and in some studies, DT construction for real-world case studies is reported. This chapter attempts to provide a contextualised background on DT for smart cities. It also discusses various stakeholders involved in devising and/or employing DTs in a smart city. The chapter concludes with a set of recommendations for the training requirements of final DT users.

Digital technology and SDGs have gained increasing interest from the research community. This chapter aims to explore the field through a holistic review of 188 publications from 2017 to 2022. For the systematic review of 188 articles, a three-step methodology comprising of PRISMA guidelines was performed, bibliometric analysis and text analysis using VOS-Viewer and Sentiment Analysis using RStudio had been undertaken. Bibliographic coupling revealed the following clusters Digital Space (Over all SDG), Localising SDGs, Financial Systems and Growth (SDG 8), Sustainable Supply Chain (SDG 9), Education (SDG 4), Energy Management (SDG 7), Smart Cities (SDG 11 and 13), Gender, Skills, and Responsibility (SDG 5 and 12), Food Management (SDG 1, 2 and 3), Business Innovation (SDG 8 and 9) and ICT (SDG 9). Next, co-occurrence analysis highlighted the following clusters Circular Economy (SDG 8), Higher Education System (SDG 4), Digital health (SDG 3), Industry 4.0 (SDG 9) and Supply Chain Management (SDG 9). Next, text analysis traced the most relevant areas of work within the theme. Finally, sentiment analysis revealed positive sentiments of the field. The research concluded that only a few SDGs had found major focus while the others don't have any solid ground in the literature. This chapter presents a knowledge structure by mapping the most relevant SDGs in the context of digital technology and sets directions for future research.

The purpose of this study is to propose an extended reliability method for an industrial motor drive by integrating the physics of failure (PoF).

Industrial motor drive systems (IMDS) are currently expected to perform beyond the desired operating conditions to meet the demand. The PoF of the subsystem affects its reliability under such harsh operating circumstances. It is crucial to estimate reliability by integrating PoF, which helps in understanding its impact and to develop a fault-tolerant design, particularly in such an integrated drive system. An integrated PoF extended reliability method for industrial drive system is proposed to address this issue. In research, the numerical failure rate of each component of industrial drive is obtained first with the help of the MIL-HDBK-217 military handbook. Furthermore, the mathematically deduced proposed approach is modeled in the GoldSim Monte Carlo reliability workbench.

From the results, for a 15% rise in integrated PoF, the reliability and availability of the entire IMDS dropped by 23%, resulting in an impact on mean time to failure (MTTF).

The integrated PoF of the motor and motor controller affects industrial drive reliability, which falls to 0.18 with the least MTTF (2.27 years); whose overall reliability of industrial drive drops to 0.06 if it is additionally integrated with communication protocol.

In Nepal, not much is known about the adoption of improved vegetable varieties. Also, there are reasons to expect that the determinants of adoption may vary between subsistence and commercial farmers, given their different production/market orientations. Therefore, the paper aims to examine the adoption intentions of commercial and subsistence vegetable farmers.

A logistic regression model was used to empirically test the determinants of the intention to adopt and recommend improved vegetable varieties. The paper also uses propensity score matching (PSM) to assess the causal effects of production/market orientation on household dietary patterns. Cross-sectional data of 600 Nepalese vegetable farmers are analyzed.

Compared to subsistence farmers, commercial vegetable farmers obtain seeds mainly from formal sources and use hybrid seeds. The most consistent covariates of vegetable adoption intentions were risk preferences and experience growing vegetables. Overall, adoption intentions were higher among commercial farmers, and commercial vegetable households tend to consume more vegetables.

Considering that vegetable farming provides an important supplementary food production system for the household, adopting improved vegetable varieties is pivotal to increasing productivity and improving household level dietary diversity in developing countries. Actions to promote wider adoption of vegetable varieties and encourage healthier dietary patterns could be successful if these efforts also focus on subsistence farmers. The findings in this paper will be useful to policymakers to better prioritize dissemination strategies.

The paper highlights the differences in characteristics and adoption intention towards new vegetable varieties between subsistence and commercial farmers. The impact of commercial production on healthier household dietary patterns is accentuated.

This article provides background on the historical development of royal hospitality in India before the advent of commercial hospitality in the twentieth century. The aim of the paper is to insert into the historiography of commercial hospitality the ancient Indian practice of endowing pilgrim rest houses, or chattrams (choultry) for the temporary housing and feeding of travelers, religious mendicants, and other groups in Indian society. As a case study, the article focuses on the chattrams of the Maratha Kings of Tanjavur (Tanjore) in South India, especially during the reign of Raja Serfoji II (r. 1798‐1832). Serfoji, working from the palette of past practices of his forebears, expanded these practices of traditional Hindu religious hospitality to include more progressive and inclusive charity, education and hospitality during the late eighteenth and early nineteenth centuries. Serfoji's munificent activities in his chattrams pose a challenge to any characterization that royal elites adapted historically dormant or static institutions to practical usage in the twentieth century.

This article is based on archival research into the role of institution building in strategies of indigenous kingship in early colonial India. The primary methodology used is content and descriptive analyses of archival documents in the Tamil language related to chattrams constructed by the Maratha court of Tanjavur between 1739 and 1855 CE.

The archival data show that the Maratha court of Tanjavur, particularly under Raja Serfoji II (r. 1798‐1832), incorporated through the chattram institution a greater variety of social groups in its charitable mandate by expanding the traditional forms of pious and ceremonial hospitality of the court to include not only religious mendicants and pilgrims, but also students, staff and European guests as well. The article reveals the manner in which such practices could sustain aspects of the traditional relationship between ruler and subject while creating newly responsive forms of social outreach to wider constituencies by an indigenous court that had been reduced to titular status under the rise of the British East India Company after 1798.

As yet, there has been no systematic survey of the evolution of commercial hospitality in India, nor particularly one that includes the practice of charitable rest houses in pre‐modern India. This article focuses attention on the diversified social functions of these institutions in the early colonial period in south India, and introduces these institutions as a potential precedent of later forms of commercial hospitality.