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The purpose of this paper is to design and develop half-mode substrate-integrated waveguide (HMSIW)- and quarter-mode substrate-integrated waveguide (QMSIW)-based antennas for wireless communication application. The developed antennas offer advantages in terms of compactness, high gain and better isolation between the ports.

Initially, the tri-band substrate-integrated waveguide-based antenna is designed using a slot on the ground plane. Then, the same structure has been bisected into two parts for the development of the HMSIW structure. Again the concept of the slot is used for the realization of a dual-band antenna. QMSIW-based structure is designed with further dividing HMSIW structure into two parts. Simulation has been carried out with the use of a high-frequency structure simulator (HFSS) software, which used a finite element-based solver for the full-wave analysis.

The proposed HMSIW-based dual-band antenna resonates at two different frequencies, namely, 5.81 GHz with 4.5 dBi gain and at 6.19 GHz with 6.8 dBi gain. Isolation between two ports is 20 dB. The overall dimensions of the proposed model are 0.39 λ × 0.39 λ. Similarly, QMSIW-based antenna is resonated at 5.66 GHz of the frequency with the 3 dBi gain. Frequency tuning is also carried out with the change in the slot dimension to use the proposed antenna in various C (4–8 GHz) band applications.

The proposed antennas can use C band wireless frequency application. The proposed structure provides better performance in terms of isolation between the ports, small size, high front-to-back ratio and higher gain. It is fabricated for the proof of concept with the RT Duroid 5880 substrate material having a 2.2 permittivity. Measured results show a similar kind of performance as a simulated one.

This study aims to highlight the impacts of a rapidly growing automobile industry on the environment and how implementation of Circular Economy (CE) principles and strategies can help us in improving its sustainability without compromising on our existing economic models.

Increase in spending capacity, improvements in technology and decrease in the prices have catapulted automobile demand over the last few decades. Harmful emissions and waste generation during the entire life cycle of these complex machines need to be addressed in an urgent manner globally. Implementation of CE principles and strategies which are based on promoting a pivotal balance between environment, economy and the society can lead to minimize economic and environmental impact leading to better results for all the stakeholders.

Carbon footprint or environmental emissions during different stages of an automobile life cycle can be minimized using CE principles and strategies without compromising on the existing economic models. Government legislation and keen participation of Original Equipment Manufacturers (OEMs) and automobile manufacturers can drive the automobile industry toward sustainability despite growing consumption.

The literature review has been done with a fresh perspective to combine environmental sustainability with CE. This is a literature review of prior work done in this domain to explore the possibility of further intervention in this domain.

Microsoft Office was facing an uphill task in engaging the undergraduate student community. Attracting this audience—the most tech-savvy generation ever—was critical to the future of the Microsoft Office franchise. Microsoft's past advertising efforts to reach this audience had proven lackluster, while its key competitors were gradually entrenching themselves among this demographic. Microsoft's challenge was to determine the best tactics that could successfully connect with this audience. The (A) case describes Microsoft's dilemma and briefly addresses what college students mostly care about: managing homework, creating great-looking schoolwork, preparing for the workplace, and collaborating with friends and classmates. It also provides competitive information, chiefly Google's increasing presence in universities and its focus on the higher education market and the growing influence of Facebook among students and its evolution into a productivity tool. The (B) case describes the qualitative research tools that Microsoft used to get a better understanding of college students: day diaries using Twitter, technology diaries using the Internet and smartphones, focus groups, and one-on-one interviews with students. The case helps students understand the value of ethnographic and qualitative research techniques, draw inferences from the data, and subsequently make recommendations. It illustrates how ethnographic and observational studies enrich research by generating deeper consumer insight than traditional methods.

Students will learn: - How online tools in ethnographic and observational research offer new insights not revealed by traditional survey research - How different qualitative market tools are used to collect data, as well as the pros and cons of different ethnographic research techniques - To interpret and synthesize data from qualitative and ethnographic research - How research can influence a firm's marketing and advertising tactics

This paper aims to present, design and implement a novel half-mode substrate integrated waveguide (HMSIW)-based narrow bandpass filter, which offers advantages like low insertion loss, compact size and high selectivity. Proposed filter will be used in the K-band automotive radar application.

The filtering response in the proposed design is achieved by inserting inductive posts in the HMSIW cavity. Ansoft high frequency structure Simulator (HFSS) is used for the simulation of the proposed structure, which is a three-dimensional full-wave solver using the finite element method (FEM). The proposed filter is fabricated on the dielectric material RT duroid 5,880 with the dielectric constant ɛ_r = 2.2, dissipation factor t and = 4 × 10^–4 and height h = 0.508 mm.

Frequency tuning is also carried out by changing the lateral distance between two inductive posts. Moreover, a comparison of the proposed structure with the previously published work is presented. Proposed method provides the unique advantages such as low insertion loss, high selectivity and compact in size.

Indigenous method has been used for the development of the filter. Proposed filter will be used in transmitter subsystem of the K-band radar system operating at the center frequency of 11.2 GHz. Measurement results are well-matched with the simulated one. Obtained measured result shows return loss of 20.39 dB and insertion loss of 1.59 dB with 3 dB fractional bandwidth (FBW) of 2.58% at the center frequency of 11.2 GHz.

Synthetic aperture radar (SAR) imaging is the most computational intensive algorithm and this makes its implementation challenging for real-time application. This paper aims to present the chirp-scaling algorithm (CSA) for real-time SAR applications, using advanced field programmable gate array (FPGA) processor.

A chirp signal is generated and compressed using range Doppler algorithm in MATAB for validation. Fast Fourier transform (FFT) and multiplication operations with complex data types are the major units requiring heavy computation. Therefore, hardware acceleration is proposed and implemented on NEON-FPGA processor using NE10 and CEPHES library.

The heuristic analysis of the algorithm using timing analysis and resource usage is presented. It has been observed that FFT execution time is reduced by 61% by boosting the performance of the algorithm and speed of multiplication operation has been doubled because of the optimization.

Very few literatures have presented the FPGA-based SAR imaging implementation, where analysis of windowing technique was a major interest. This is a unique approach to implement the SAR CSA using a hybrid approach of hardware–software integration on Zynq FPGA. The timing analysis propagates that it is suitable to use this model for real-time SAR applications.

Microsoft Office was facing an uphill task in engaging the undergraduate student community. Attracting this audience—the most tech-savvy generation ever—was critical to the future of the Microsoft Office franchise. Microsoft's past advertising efforts to reach this audience had proven lackluster, while its key competitors were gradually entrenching themselves among this demographic. Microsoft's challenge was to determine the best tactics that could successfully connect with this audience. The (A) case describes Microsoft's dilemma and briefly addresses what college students mostly care about: managing homework, creating great-looking schoolwork, preparing for the workplace, and collaborating with friends and classmates. It also provides competitive information, chiefly Google's increasing presence in universities and its focus on the higher education market and the growing influence of Facebook among students and its evolution into a productivity tool. The (B) case describes the qualitative research tools that Microsoft used to get a better understanding of college students: day diaries using Twitter, technology diaries using the Internet and smartphones, focus groups, and one-on-one interviews with students. The case helps students understand the value of ethnographic and qualitative research techniques, draw inferences from the data, and subsequently make recommendations. It illustrates how ethnographic and observational studies enrich research by generating deeper consumer insight than traditional methods.

Students will learn: - How online tools in ethnographic and observational research offer new insights not revealed by traditional survey research - How different qualitative market tools are used to collect data, as well as the pros and cons of different ethnographic research techniques - To interpret and synthesize data from qualitative and ethnographic research - How research can influence a firm's marketing and advertising tactics

In clinical analysis, medical image segmentation is an important step to study the anatomical structure. This helps to diagnose and classify abnormality in the image. The wide variations in the image modality and limitations in the acquisition process of instruments make this segmentation challenging. This paper aims to propose a semi-automatic model to tackle these challenges and to segment medical images.

The authors propose Legendre polynomial-based active contour to segment region of interest (ROI) from the noisy, low-resolution and inhomogeneous medical images using the soft computing and multi-resolution framework. In the first phase, initial segmentation (i.e. prior clustering) is obtained from low-resolution medical images using fuzzy C-mean (FCM) clustering and noise is suppressed using wavelet energy-based multi-resolution approach. In the second phase, resultant segmentation is obtained using the Legendre polynomial-based level set approach.

The proposed model is tested on different medical images such as x-ray images for brain tumor identification, magnetic resonance imaging (MRI), spine images, blood cells and blood vessels. The rigorous analysis of the model is carried out by calculating the improvement against noise, required processing time and accuracy of the segmentation. The comparative analysis concludes that the proposed model withstands the noise and succeeds to segment any type of medical modality achieving an average accuracy of 99.57%.

The proposed design is an improvement to the Legendre level set (L2S) model. The integration of FCM and wavelet transform in L2S makes model insensitive to noise and intensity inhomogeneity and hence it succeeds to segment ROI from a wide variety of medical images even for the images where L2S failed to segment them.

To provide a public private partnership (PPP) model for urban health centres (UHC) in developing countries that can be useful for urban local governments and private service providers willing to enter into meaningful partnerships so as to improve primary healthcare services.

This research is based on geographical information system methodology to identify suitable locations to address availability, access, affordability and equity concerns and to provide a practical framework for PPP for establishing UHC. The methodology involved survey and mapping of slum communities and private healthcare facilities.

The research provides intricate details about planning healthcare services for urban poor, operational and managerial aspects of service provision and processes involved in PPP for urban health.

The model is developed and tested for Ahmedabad city (sixth largest city in India) and may need a certain amount of customisation for application in other cities.

The outcome of the research is a working model based on a set of legal documents (memorandum of understanding) signed by all the PPP stakeholders. This model is useful for planning and managing similar healthcare facilities in other cities with adequate context‐specific modifications given the increasing importance of urban health.

While a range of published work provides theoretical frameworks for PPPs in general and for urban health in particular, our model has field‐tested all the steps for establishing a PPP model for solving urban health problems. The proposed UHC will start functioning in its new premises soon.

The subject areas for this case are auditing, fraud and investigations. It is also relevant for teaching aspects of corporate governance.

This case consolidates techniques and methodologies of special investigations and demonstrates weaknesses in governance and internal controls. It is appropriate for final year undergraduate students and graduate students who have attended classes on basics of accounting and financial reporting.

The case is about institutional governance and the effects of ineptness at different levels of an organization that resulted in TAS. 133 billion being “improperly” paid out to 22 firms in the financial year 2005/2006.The case is structured to focus at the dilemma of the Director of Finance as an individual who featured in the latter stages of an extensive fraud where old unclaimable debts were revived and were being claimed and paid to fictitious assignees involving a number of Central Bank officials. However, the case seeks to interrogate issues related to financial records and controls in which the position of Director of Finance had more relevance.

Working on this case should result in enabling students to acquire expertise necessary for forensic accounting. It should also enable students to learn to gain an understanding of the practice of investigative and forensic accounting as well as an understanding of the interrelationships of the parties involved in forensic investigations.

Teaching note.