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The researchers and policy makers worldwide have proposed many ideas for smart cities and homes in urban areas. The extensive work done for urban smart homes neglects the unique constraints of homes at remote mountain tops and deserts and rural village homes. The purpose of this paper is to propose a smart energy management system for a self-sustained home of any type situated in any geographical location with the availability of renewable energy sources like solar, etc. The purpose is mainly to highlight the importance and advantages of direct current (DC) homes with DC loads rather than a conventional alternating current (AC) home with both AC and DC loads. An attempt has been made to evolve a multi-agent coordinated control for the low voltage direct current (LVDC) smart home system.

LVDC supply systems with in situ power generation are providing an efficient solution for the energy needs of a DC smart home. The individual sub-systems of the LVDC system have their unique functions and priorities and hence require both coordinated and independent control. The entire DC smart home system is modeled in the Matlab and codes are implemented for each agent of the home. LVDC grid is operating either in battery connected mode or utility grid-connected mode, and the DC link voltage is held constant in both the cases. Energy imported from the utility grid is minimized by load shedding during the rectifier mode of the bidirectional converter. In addition, load shedding is also done when the battery is discharging to increase the discharge time of the battery. Load shedding is done on the basis of a fixed priority of loads. A 48 s simulation is performed on the Matlab model to bring out the 24-hour operation of the proposed system. Various modes are simulated and the corresponding actions of the agents are tested.

A new control strategy with agents for each sub-system of the LVDC system is presented. Each individual agent works in tandem with other agents and meets its own control imperatives without compromising the requirements of the overall system. Unlike the centralized control system, the proposed control strategy is a distributed control system. The control algorithm for each of the agents is developed, and the pseudo code is presented. The results of the simulation of the proposed scheme are presented to confirm the usefulness of the new control approach.

The multi-agent concept for an energy management system is less addressed and thus its potential for efficient home energy management is presented. The proposed multi-agent strategy for a complete DC smart home with exclusive DC loads is not done earlier and is reported for the first time. The success of this strategy can be extended to other DC micro-grid systems like telecom power systems, ships, aircraft, datacentres, server rooms, residential complexes and commercial malls.

This paper aims to present the design of a stability augmentation system (SAS) in the longitudinal and lateral axes for an unstable helicopter.

The feedback controller is designed using linear quadratic regulator (LQR) control with full state feedback and LQR with output feedback approaches. SAS is designed to meet the handling qualities specification known as Aeronautical Design Standard (ADS‐33E‐PRF). A helicopter having a soft inplane four‐bladed hingeless main rotor and a four‐bladed tail rotor with conventional mechanical controls is used for the simulation studies. In the simulation studies, the helicopter is trimmed at hover, low speeds and forward speeds flight conditions. The performance of the helicopter SAS schemes are assessed with respect to the requirements of ADS‐33E‐PRF.

The SAS in the longitudinal axis meets the requirement of the Level 1 handling quality specifications in hover and low speed as well as for forward speed flight conditions. The SAS in the lateral axis meets the requirement of the Level 2 handling quality specifications in both hover and low speed as well as for forward speed flight conditions. The requirements of the inter axis coupling is also met and shown for the coupled dynamics case. The SAS in lateral axis may require an additional control augmentation system or adaptive control to meet the Level 1 requirements.

The study shows that the design of a SAS using LQR control algorithm with full state and output feedbacks can be used to meet ADS‐33 handling quality specifications.

The purpose of this paper is to develop a mathematical model for metal removal rate and surface roughness through Taguchi method and analyse the influence of the individual input machining parameters (cutting speed, feed rate, helix angle, depth of cut and wt% on the responses in milling of aluminium-titanium diboride metal matrix composite (MMC) with solid carbide end mill cutter coated with nano-crystals.

Taguchi OA is used to optimise the material removal rate (MRR) and Surface Roughness by developing a mathematical model. End Milling is used to create slots by combining various input parameters. Five factors, three-level Taguchi method is employed to carry out the experimental investigation. Fuzzy logic is used to find the optimal cutting factors for surface roughness (Ra) and MRR. The factors considered were weight percentage of TiB₂, cutting speed, depth of cut and feed rate. The plan for the experiments and analysis was based on the Taguchi L27 orthogonal array with five factors and three levels. MINITAB 17 software is used for regression, S/N ratio and analysis of variance. MATLAB 7.10.0 is used to perform the fuzzy logics systems.

Using fuzzy logics, multi-response performance index is generated, with which the authors can identify the correct combination of input parameters to get higher MRR and lower surface roughness value with the chosen range with 95 per cent confidence intervals. Using such a model, remarkable savings in time and cost can be obtained.

Machinability characteristics in Al-TiB₂ MMC based on the Taguchi method with fuzzy logic has not been analysed previously.

This study aims to address the critical need for innovation in the power grid sector, driven by global carbon reduction commitments. It highlights the pivotal role of critical success factors (CSFs) in enhancing system adaptability and environmental mitigation within India’s power industry.

This research is grounded on transition management theory to identify and validate the CSFs necessary to integrate energy storage systems (ESS). Here, exploratory factor analysis (EFA) and total interpretive structural modeling (TISM) are integrated to evaluate the model’s effectiveness in reducing CO₂ emissions while ensuring grid stability and flexibility.

The research develops a seven-level hierarchical model illustrating the interaction of ESS components for a stable power grid, clean energy and a profitable electric industry. It emphasizes the strategic significance of managing key factors to reduce CO₂ emissions and ensure grid stability. The study recommends continuous monitoring at tactical and operational levels to enhance overall performance.

The study provides policymakers with strategic insights for the successful implementation of smart grid initiatives, facilitating effective decarbonization of the electricity industry. Additionally, it offers a comprehensive framework for minimizing the environmental impact associated with electricity generation, thereby enhancing overall operational sustainability and efficiency.

The originality of this study lies in its integration of EFA and TISM for robust model assessment and the application of transition management theory to identify and validate CSFs in the integration of ESS. This approach offers a novel perspective on enhancing the sustainability and efficiency of power grids.

The purpose of this paper is to investigate the effects of creator credibility and backer endorsement on the levels of donation to crowdfunding campaigns in a focal muslim community and to determine the success factors of projects in developing and developed countries.

This research adopts a quantitative approach, utilizing 223 crowdfunding projects from LaunchGood to examine the expected connections. The crowdfunding projects in the distinctive data set (Ramadan) are similar, permitting exploration of the role of creator credibility and backer endorsement in a unique context of religious-based crowdfunding activity.

Creators’ credibility and backers’ endorsements are decisive factors in crowdfunding success. Results from an additional test related to location (developing and developed countries) suggest that creators’ credibility is more important than backers’ endorsements, especially in developing countries.

The projects used in the data set are homogenous and take place in a specific context. The limited number of available observations influences the testing function and capacity of the models and variables. Further, the investigation is related to a specific community, so might not be applicable to all communities.

Potential supporters from the community are vital for the success of crowdfunding projects. This study informs campaign efforts in a religious community by stressing the importance of creators’ credibility and backers’ endorsements. The study also sheds light on factors that affect crowdfunding success in developing and developed countries.

This study helps to explain successful crowdfunding practices in donation-based crowdfunding projects within a religious community context. Results improve scholars’ ability to comprehend individuals’ supporting behavior, providing empirical evidence of creators’ credibility and backers’ endorsement on project success. The study also addresses the determinants of crowdfunding success in developing and developed countries.

The purpose of this paper is to discuss published research in rotorcraft which has taken place in India during the last ten years. The helicopter research is divided into the following parts: health monitoring, smart rotor, design optimization, control, helicopter rotor dynamics, active control of structural response (ACSR) and helicopter design and development. Aspects of health monitoring and smart rotor are discussed in detail. Further work needed and areas for international collaboration are pointed out.

The archival journal papers on helicopter engineering published from India are obtained from databases and are studied and discussed. The contribution of the basic research to the state‐of‐the‐art in helicopter engineering science is brought out.

It is found that strong research capabilities have developed in rotor system health and usage monitoring, rotor blade design optimization, ACSR, composite rotor blades and smart rotor development. Furthermore, rotorcraft modeling and analysis aspects are highly developed with considerable manpower available and being generated in these areas.

Two helicopter projects leading to the “advanced light helicopter” and “light combat helicopter” have been completed by Hindustan Aeronautics Ltd These helicopter programs have benefited from the basic research and also provide platforms for further basic research and deeper industry academic collaborations. The development of well‐trained helicopter engineers is also attractive for international helicopter design and manufacturing companies. The basic research done needs to be further developed for practical and commercial applications.

This is the first comprehensive research on rotorcraft research in India, an important emerging market, manufacturing and sourcing destination for the industry.

Presents the similarity coefficient method for group technology to alleviate the part family formation problem in flexible manufacturing systems (FMS). Part families are formed in FMS in order to take advantage of part similarities in design and manufacture. Parts coding and classification analysis (PCA) has constituted the bulk of part family formation techniques in practice. Using shape‐based features for grouping is very labour intensive at the coding and classification stages. As a means of alleviating the latter problem, presents an approach for converting the weighted codes of the PCA to similarity coefficient measures. Uses a clustering algorithm to identify the part families. Presents a numerical example that compares the single and average linkage clustering technologies. An experimental investigation of the two methods showed that the average linkage clustering (ALC) performs better than the single linkage clustering (SLC) technology in minimizing intercellular materials handling costs.

This paper introduces a modified single linkage clustering heuristic (MOD‐SC). The proposed MOD‐SLC objective is to test the application of Baroni‐Urban and Buser (BUB) similarity coefficient to the manufacturing cell formation (MCF) problem instead of Jaccard’s similarity coefficient. The MOD‐SLC has been compared and evaluated against three cluster formation‐based heuristics for MCF. The three heuristics are: the single linkage clustering, enhanced rank order clustering, and direct clustering algorithm. The MCF methods considered in this comparative and evaluative study belong to the cluster formation approach of solving the MCF problem. The comparison and evaluation are performed using four published performance measures. A total of 25 published and ten hypothetical and randomly generated problem data sets are used in the proposed evaluative study. Results analysis is carried out to test and validate the proposed BUB based MOD‐SLC. Finally the pros and cons of each method are stated and discussed.

Over the last ten years scores of methodologies have emerged in management science/operations research/statistics that employ techniques such as mathematical programming, simulation, artificial intelligence, and clustering to convert a flexible manufacturing system into a cellular one. Based on a real‐life case that involved over 1,000 components and 3,000 operations, related to a world‐class furniture manufacturing company, finds that the somewhat outdated King’s algorithm, after partial linearization, works as well as the other sophisticated techniques in terms of speed and problem size. Drives home the point that a shift to cellular configuration from functional layout results in across the board savings in material movement, setup times, hilo moves, WIP, work area and in manufacturing leadtime. The company under study benefited to the tune of $164,000 per year from switch to single cell. The projected savings are expected to exceed $700,000 per year when the reconfiguration is completed.

Presents an assignment model formulation for the machine cell formation problem in cellular manufacturing based on an appropriate definition of dissimilarlity between any pair of machines for the grouping problem. This dissimilarity measure considers the production volume or demand for the parts on the respective machines and forms the cost parameters for the assignment model which is to be minimized. Identification of the machine cells automatically yields the corresponding part groups which are then assigned to the cells. The model is fast‐converging, taking advantage of the well‐proven assignment algorithm. Also presents an algorithm for dealing with mild cases of exceptional elements and too many machine cells. Uses numerical examples to illustrate the model.