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The purpose of this study is to estimate aerodynamic parameters using regularized regression-based methods.

Regularized regression methods used are LASSO, ridge and elastic net.

A viable option of aerodynamic parameter estimation from regularized regression-based methods is found.

Efficacy of the methods is examined on flight test data.

This study provides regularized regression-based methods for aerodynamic parameter estimation from the flight test data.

Dynamic economic and emission dispatch (DEED) aims to optimally set the active power generation with constraints in a power system, which should target minimum operation cost and at the same time minimize the pollution in terms of emission when the load dynamically changes hour to hour. The purpose of this study is to achieve optimal economic and emission dispatch of an electrical system with a renewable generation mix, consisting of 3-unit thermal, 2-unit wind and 2-unit solar generators for dynamic load variation in a day. An improved version of a simple, easy to understand and popular optimization algorithm particle swarm optimization (PSO) referred to as a constriction factor-based particle swarm optimization (CFBPSO) algorithm is deployed to get optimal solution as compared to PSO, modified PSO and red deer algorithm (RDA).

Different model with and without wind and solar power generating systems; with valve point effect is analyzed. The thermal generating system (TGs) are the major green house gaseous emission producers on earth. To take up this ecological issue in addition to economic operation cost, the wind and solar energy sources are integrated with the thermal system in a phased manner for electrical power generation and optimized for dynamic load variation. This DEED being a multi-objective optimization (MO) has contradictory objectives of fuel cost and emission. To get the finest combination of the two objectives and to get a non-dominated solution the fuzzy decision-making (FDM) method is used herein, the MO problem is solved by a single objective function, including min-max price penalty factor on emission in the total cost to treat as cost. Further, the weight factor accumulation (WFA) technique normalizes the pair of objectives into a single objective by giving each objective a weightage. The weightage is decided by the FDM approach in a systematic manner from a set of non-dominated solutions. Here, the CFBPSO algorithm is applied to lessen the total generation cost and emission of the thermal power meeting the load dynamically.

The efficacy of the contribution of stochastic wind and solar power generation with the TGs in the dropping of net fuel cost and emission in a day for dynamic load vis-à-vis the case with TGs is established.

Cost and emission are conflicting objectives and can be handled carefully by weight factors and penalty factors to find out the best solution.

The proposed methodology and its strategy are very useful for thermal power plants incorporating diverse sources of generations. As the execution time is very less, practical implementation can be possible.

As the cheaper generation schedule is obtained with respect to time, cost and emission are minimized, a huge revenue can be saved over the passage of time, and therefore it has a societal impact.

In this work, the WFA with the FDM method is used to facilitate CFBPSO to decipher this DEED multi-objective problem. The results reveal the competence of the projected proposal to satisfy the dynamic load demand and to diminish the combined cost in contrast to the PSO algorithm, modified PSO algorithm and a newly developed meta-heuristic algorithm RDA in a similar system.

In today’s digitized environment, information privacy has become a prime concern for everybody. The purpose of this paper is to provide an understanding of information privacy concern arising because of the application of computer-based information system in the various domains (E-Governance, E-Commerce, E-Health, E-Banking and E-Finance), and at different levels, i.e. individual, group, organizational and societal.

The authors performed an in-depth analysis of different research articles related to information privacy concerns and elements affecting those at certain level of applications. The primary sources of literature were articles retrieved from online databases. Various online journal and scholarly articles were searched in detail to locate information privacy-related articles.

The authors have carried out a detailed literature review to identify the different levels where the privacy is a big challenging task. This paper provides insights whether information privacy concern may obstruct in the successful dispersal and adoption of different applications in various application domains. Consumers’ attitude towards information privacy concerns have enlightened and addressed at individual levels in numerous domains. Privacy concerns at the individual level, as suggested by our analysis, seem to have been sufficiently addressed or addressed. However, information privacy concerns at other levels – group, organizational and societal levels – need the attention of researchers.

In this paper, the authors have posited that it will help the researchers to more focus at group level privacy perspective in the information privacy era.

This study aims to integrate the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method with quality function deployment (QFD) which helps to improve the weight of technical attributes by calculating the closeness of particular attributes with the best attributes and farthest from the worst technical attributes simultaneously.

For the fulfilment of the aim of the study, detailed literature is reviewed and a suitable tool for score calculation has been selected. Further, the proposed methodology is applied in a literature-based case study, and a new weight is calculated and compared with the previous weight.

The finding of the study suggests that higher weightage is assigned to those technical attributes which is very close to the best technical attribute, and lower weightage is assigned to the technical attributes which are very close to worst technical attributes. Therefore, the weight calculated with the help of the proposed methodology will suggest to optimally invest the resources on technical attributes so that the maximum customer satisfaction is achieved.

The proposed method will help in better score calculation of QFD. Therefore, the use of the proposed method will help in better product and service design for maximum customer satisfaction.

Proposed methodology aims to help managers, administrators, QFD practitioners and product/service designers to design a new product/service or mange the quality of existing product/services in an effective way.

This is the first kind of study, in which modification in score calculation has been proposed. This modification will help in the better assignment of resources for maximum customer satisfaction.

Information technology (IT) governance (ITG) is a complex concept that researchers are still exploring in many dimensions. The literature in this area has grown at a fast pace. It required a review article to make sense of the growing body of literature. This study aims to provide a comprehensive view of ITG for understanding this phenomenon.

The framework of systematicity and transparency is used to search, select and report relevant articles. This study synthesized the identified pool of articles by using thematic analysis, wherein each article was attached to various identified categories.

This study presents a comprehensive overview of the ITG literature space, including themes and subthemes. It highlights future research avenues and identifies gaps in the ITG area.

Information system researchers and senior practitioners can use this literature review to overview the up-to-date ITG literature. It can also be helpful for non-information system researchers who intend to conduct multi-disciplinary research.

This research looks at the ITG literature space by considering up-to-date literature and a fresh perspective.

This paper aims to test the effectiveness of communication platforms in conveying the importance of sustainability messages focusing on electronic waste (e-waste) recycling. While corporate communication has been explored well, this research explores the influence of communication medium on the shift in attitude and behavioural intention of higher education students.

An experimental design approach was used with quantitative data analysis to address the research questions.

The results revealed that the text form of communication was more effective in conveying the e-waste recycling message. Students demonstrated a significant shift in attitude and call for action when they read the sustainability article instead of watching a video with the same message.

With several universities trying to integrate sustainability in their curriculum, this research provides guidelines on effective communication methods for students. It also sheds light on the choice of platforms that can be used by organisations to reach out to their employees to convey sustainability-related messages.

The paper addresses sustainability communication in a university by exploring the best method of communication. The results open up new conversations on the media richness theory in the context of sustainability.

Case-based classroom teaching-learning process (hereafter, case method) has provided a very productive teaching-learning environment for a long time. In the case method, students are expected to meet some prerequisites, such as reading and analyzing the case in advance, listening to the classroom discussion and actively participating in the discussion. However, it is frequently reported in Indian business schools that students do not prepare the assigned case before the scheduled class. The under-preparation of cases results in low-quality discussion, high absenteeism, passive attitude and lack of energy.

This study modeled the case method using an IGEO (input-guide-enablers-output, commonly used in any process modeling) framework to identify challenges in the case-based classroom teaching-learning process. A novel customized classroom teaching-learning process called the EPDE (explain, practice, discuss, explore) method replaced the case method. These two teaching-learning processes were used for teaching two groups of MBA students.

The novel EPDE method effectively addressed the case method challenges. It resulted in better learning outcomes in the Indian B-school context.

The purpose of the study is to examine the impact of an alternative to the traditional case study method in a college classroom among MBA students. Two points make this study original and unique: (1) The IGOE process modeling framework is used to model teaching-learning processes, such as the case and EPDE methods. Using IGOE for teaching-learning processes is unique and is not available in the literature and (2) the EPDE method is a novel concept.

This study aims to present dual band reconfigurable MIMO antenna for 5G (sub-6 GHz) and WLAN applications.

To achieve optimum bandwidth, radiation pattern and radiation efficiency, the defected ground structure (DGS) and a rectangular stub connected with the DGS are used. To further cover the sub-6 GHz spectrum (3.4–3.6 GHz) for future 5G communications, a two-element multi-input multi-output (MIMO) antenna configuration is designed by using the single element antenna. The proposed reconfigurable MIMO antenna using a PIN diode is designed on an FR4 substrate with a dielectric constant of 4.4 and a loss tangent of 0.02 and a 35 × 20 × 1.6 mm³ dimension.

The proposed antenna achieved dual operating bands of 3.4–4.1 GHz (5 G sub-6GHz applications) and 4.99–5.16 GHz (WLAN application) in the D = ON state. For D = OFF state, the proposed antenna achieved 3.55–3.65 GHz and 3.66–4.05 GHz frequency bands for 5G (sub-6GHz) applications. In terms of the envelop correlation coefficient, diversity gain, mean effective gain, total active reflection coefficient and isolation between the ports, the proposed antenna’s diversity performance characteristics are investigated and the obtained values are 0.05, 9.9 dB, ±3dB, −4dB, −15dB, respectively.

The fabricated prototype antenna on FR4 substrate has measurable parameters that are in good agreement with the simulated findings. Due to hardware design limitations, there is a minor difference between software and hardware results.

The proposed MIMO antenna is compact and reconfigurable for 5G (sub-6GHz) and WLAN applications, and from the graph, the measurements and simulations have been found to be in close agreement.

The purpose of this paper is to analyze the heat and momentum transfer for steady two-dimensional incompressible nanofluid flow through a wavy channel with linearly varying amplitude in the entrance region.

The mass, momentum and energy conservation equations for laminar flow of Cu-water nanofluids are computationally solved using the finite element method. A parametric study is carried out by varying the dimensionless length of the channel section with varying amplitude (EL), Reynolds number (Re) and nanoparticle volume fraction (Φ) in the ranges 0 ≤ EL ≤ 25.5, 105 ≤ Re ≤ 900 and 0 ≤ Φ ≤ 0.04.

A higher heat transfer rate is seen in the wavy channel compared to a plane channel beyond a critical value of Re (Re_crit) whose value varies with EL; moreover, the overall heat transfer decreases with EL. The heat transfer rate increases with phi for all EL values investigated. The combined effects of the increase in the overall heat transfer and the associated pressure drop in the wavy channel compared to the parallel plate channel are presented as performance factor (PF) against EL. For the highest value of EL (= 25.5), PF monotonically decreases with Re. For smaller values of EL (= 5.5 and 11.5) and also for EL = 0, PF decreases with Re in the lower and the higher Re regimes, while it increases in the intermediate Re regime. In all cases, PF is higher for φ = 0.04 than for the base fluid. The sensitivity of the average Nusselt number to nanoparticle volume fraction follows a non-monotonic trend with the change in Re, φ and EL.

This study finds relevance in several applications such as solar collectors, heat exchangers and heat sinks.

To the best of the authors’ knowledge, the analysis of forced convection flow of nanofluid through a wavy channel with linearly varying amplitude is reported for the first time in the literature.