Search results

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.

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.

Owing to high competition in education sector, quality in education has become utmost important criteria to deliver better education service. For this purpose, it is required to monitor the quality of education. This paper aims to prioritize National Board of Accreditation (NBA) quality parameters in engineering education as per student’s needs using quality function deployment (QFD).

This study is conducted among students of an institute of National importance in three stages. Stage 1 involves conducting interview with 23 students to find the student’s requirement from an institute. Further Stage 2 involves importance rating collection through questionnaire survey method. In this stage, 228 students have given a rating of each student’s requirement. Finally, Stage 3 involves establishing correlation between student’s requirement and NBA quality parameters that has been done by 20 academic experts and finally making a QFD matrix for ranking of each NBA quality parameter.

The result of the study first indicates that among all students’ requirements, job-oriented requirement is the most important need, and ergonomics-based requirement is the least important need of students. Further, to fulfill their needs, an institute has to focus on each NBA quality parameter. But among all NBA quality parameters, student’s performance is highly desirable quality parameter.

This study will help top management of engineering institutions in making better policies and strategies for preparing their quality framework. These strategies will indirectly fulfill the customer needs that help in attracting more number of students toward those institutes.

In India, NBA is one of the leading bodies that monitor the quality of education. On the other hand, the institution has to satisfy the need of customer of education sector; therefore, prioritization of NBA quality parameter as per student’s need is one of the important needs that will help engineering institution to focus on a certain parameter to get a good quality certificate and also attract a number of meritorious students.

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.