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Because of the outbreak of Covid 19, the entire world is thinking of new strategies, preventive measures to safeguard the human life from the widespread of the pandemic. The areas where people are affected are marked as containment zones and people are not allowed to exit out of those areas. Similarly, new people are not allowed to enter inside those areas. Hence, the purpose of this paper is to propose a methodology to track the Covid zones, to enhance and tighten the security measures. A geo-fence is created for the containment zone. The person who enters or exits out of that particular zone will be monitored and alert message will be sent to that person’s mobile.

After tracking the location of a suspicious individual, the geo-fenced layer is mapped in the area and then the virtual perimeter is used for further trapping process. This geo-fenced layer can be viewed by the citizens as soon as it is updated by the Covid monitoring team. The geo-fencing is a concept of building a virtual perimeter area. This virtual perimeter monitoring system helps in monitoring the containment zones effectively. It reduces operational costs by using an automated system based on wireless infrastructure. It also alerts the authorities immediately to catch the violators. Thus, it helps to speed up the process of inspecting the containment zones and monitoring the individuals who violate the rules given by government.

The proposed methodologies will be an effective way to track the Covid’s communal spread. But the workflow of the system demands the required data sets and permission in legal manner to set up the environment that maintains the constitutional law and order in practice. The application developed was a prototype to display how it works if the required data sets are provided by the government. There are several tracking models that are released across the world such as Aarogya setu (India), Trace together (Singapore) and Hagmen (Israel). All these models are based on Bluetooth proximity identification; though Bluetooth proximity identification is helpful for high range in a short distance, the privacy concern is debatable one. Using modern technology, it is so easy to crack the individual gadgets and with Bluetooth enabling it makes things even worse. Thus, it is important to maintain the tracking a safer and secure one, and another issue with those Bluetooth-based applications is that tracking can be done only if the user enabled the Bluetooth option, if not the entire functioning would become a mess. The proposed methodology of tracking without Bluetooth will ensure data security also.

This was developed as a project by our third-year students of the Department of Information Technology of our college.

The purpose of this paper is to inspect whether the people in a public place maintain social distancing. It also checks whether every individual is wearing face mask. If both are not done, the drone sends alarm signal to nearby police station and also give alarm to the public. In addition, it also carries masks and drop them to the needed people. Nearby, traffic police will also be identified and deliver water packet and mask to them if needed.

The proposed system uses an automated drone which is used to perform the inspection process. First, the drone is being constructed by considering the parameters such as components selection, payload calculation and then assembling the drone components and connecting the drone with the mission planner software for calibrating the drone for its stability. The trained yolov3 algorithm with the custom data set is being embedded in the drone’s camera. The drone camera runs the yolov3 algorithm and detects the social distance is maintained or not and whether the people in public is wearing masks. This process is carried out by the drone automatically.

The proposed system delivers masks to people who are not wearing masks and tells importance of masks and social distancing. Thus, this proposed system would work in an efficient manner after the lockdown period ends and helps in easy social distance inspection in an automatic manner. The algorithm can be embedded in public cameras and then details can be fetched to the camera unit same as the drone unit which receives details from the drone location details and store it in database. Thus, the proposed system favours the society by saving time and helps in lowering the spread of corona virus.

It can be implemented practically after lockdown to inspect people in public gatherings, shopping malls, etc.

Automated inspection reduces manpower to inspect the public and also can be used in any place.

This is the original project done with the help of under graduate students of third year B.E. CSE. The system was tested and validated for accuracy with real data.

The perceived need to reduce dietary fat consumption has produced intense activity throughout the food industry. Previous exploratory work has indicated that flavour characteristics can influence consumer enjoyment of foods, and reducing the fat content of foods can adversely affect flavour characteristics in comparison with those of full‐fat equivalents. However, there is little work reported in this area in the scientific literature. The Leatherhead Food RA and the Institute of Food Research, Reading, are therefore collaborating on a MAFF‐LINK project with ten industrial partners on improving the flavour acceptability of reduced‐fat foods. The project aims to quantify and model the relationship between fat content and the perceived flavour and flavour‐release characteristics of processed foods and to provide guidance to the industrial partners in developing reduced‐fat foods with improved flavour characteristics.

This paper aims to draw on the agency theory to examine the relationship between corporate governance and integrated reporting on a sample of 120 listed French companies making up the SBF 120 Index during the period 2016–2019.

The methodology adopted in the present study consists of the hypothetico-deductive approach. Thus, as part of this quantitative approach, the authors aim at investigating the hypotheses concerning the impact of corporate governance mechanisms on integrated reporting. Moreover, the applied data are analyzed using the multiple linear regressions.

The finding of this study is that the cognitive diversity and audit committees have a positive and significant effect on integrated reporting. However, the chief executive officer’s duality and the board’s size have a positive and non-significant effect on integrated reporting.

In fact, this study contributes to the literature on the practices of integrated reporting. Faced with the rarity of studies linking the corporate governance mechanisms and the integrated reporting, this study makes a huge contribution to the determinants of integrated reporting.

This paper aims to examine the influence of ethical judgement on decision-making behaviour related to ethical issues of Islamic banking practitioners in the United Arab Emirates (UAE).

The study adopted a confirmatory approach in which validated/established “normative ethical standards” are taken into the consideration as theoretical underpinning. In total, 262 samples are collected from Islamic banking practitioners in the UAE and data analysis is conducted using structural equation modelling.

The empirical findings indicate that the decision-making behaviour related to ethical issues of Islamic banking practitioners in UAE does not adhere to any set of normative ethical standards and respondents are pragmatic in nature when it comes to the decision-making behaviour related to ethical matters.

The study elucidates to what extent Islamic banking practitioners have encountered themselves with situations that demand the proper attention to the ethical aspects, which affecting decision-making behaviour related to ethical issues. According to the findings, those situations considerably demand the attention of ethical judgement in the decision-making behaviour of Islamic banking practitioners. Hence, it is recommended for Islamic banks in UAE to contain or intensify the training on the importance of ethics, Islamic thought and worldview to enhance corporate decision-making and banking profitability within the purview of Islamic principles.

While ample emphasis has been given to the juristic (fiqh) aspects of Sharīʿah-compliant in Islamic banking and finance, relatively little has been attempted to explore its ethical dimensions (akhlaq) in the compliance parameters. Further, Sharīʿah-compliant has been product-centric rather than people-centric. While there is numerous literature documented that links ethics and Islamic banking and finance, ethical framework and practice in Islamic finance institutions, studies focusing on the “people” and their “ethical decision-making behaviour” in Islamic financial institutions found missing in the literature. These gaps serve as justification for undertaking this research.

Outlines some of the reasons behind the development of vegetable oil cheese and critically questions the whole basis and need for such cheese‐type or substitute products. Evaluates two of these new products and compares them with mild and low‐fat Cheddar cheese by using a semi‐trained sensory panel. Finds no significant differences between the appearance of the cheeses but finds differences for texture and flavour. Finds the vegetable oil cheeses to have a flavour similar to mild Cheddar, while the product made with sunflower oil has a soft and crumbly texture compared with that of cheese made from rapeseed oil.

The knowledge management (KM) sharing process plays an essential role in manufacturing under Green Implementation Network (GIN). This study aims to analyze the KM process of adopting a GIN to determine the relative importance of technical risk minimization. The proposed conceptual model was tested by considering two interrelated concepts (GIN and KM process).

Primary data from manufacturing companies in Henan province, China, were collected through 276 questionnaires. PLS-SEM and fuzzy set qualitative comparative analysis (fsQCA) were applied to investigate the configurational path of minimizing the technical risk in the manufacturing process.

The findings showed that the GIN and KM processes minimize the technical risk. The fsQCA reported multiple configurational of GIN and KM processes validated toward technical risk reduction. The study's findings contribute to the existing body of knowledge on technical risk reduction in manufacturing concerns by investigating the complex intersection between GIN and KM process.

This research adds to current GIN and KM literature by focusing on the green process using a resource-based view (RBV) and socio-technical theories. The current study provides practical and theoretical justification for explaining the relationship between GIN and KM processes. Moreover, this study adds to the literature by providing evidence that KM is an essential manufacturing industry enabler in minimizing technical risk.

The purpose of this paper is to explore the role played by the board of directors in corporate sustainability (CS) disclosure within the Asian context in which sustainability reporting (SR) is an emerging phenomenon.

Data are collected from a sample of 100 listed Sri Lankan companies over a period of four years (2012-2016), representing practically all the business sectors. This study draws on both agency and resource dependence theories, while binary logistic regression is performed for the data analysis.

The results point out that firms that follow a sustainability disclosure policy have larger boards, a higher proportion of independent directors and more female directors. Contrary to certain common assumptions, firms that practice sustainability disclosure are not influenced by dual leadership, board ethnicity and board ownership. This study helps firms to understand whether their boards can influence the sustainability disclosure choice or not and further, to validate the appropriateness of the agency theory and the resource dependence theory for examining issues of this nature.

This study contributes significantly to the extant literature on this subject by broadening the geographical coverage, which has generally been limited to the West in corporate disclosure studies.

The purpose of this paper is to systematise the research field of sustainability reporting. The authors contribute to closing this research gap and, on the basis of this systematisation, address the research question of what are the drivers of sustainability reporting.

The paper systematically reviews existing studies and analyses drivers of sustainability reporting using a qualitative approach. The authors intend to demonstrate and discuss the wide range of approaches used in literature.

The review suggests that firm size, media visibility and ownership structure are the most important drivers of the disclosure of sustainability reports, while corporate governance only seems to have an influence on the existence of audit or sustainability committees. In contrast, other determinants such as profitability, capital structure, firm age or board composition as an indicator of corporate governance do not show a clear tendency.

The authors systemise the research field related to sustainability reporting to give an overview of the current research landscape that is not influenced by environmental or social reporting and discuss the identified determinants and the related variables. This results in a comprehensive report of what is known and unknown about the questions addressed in the systematic review.

Failure of the materials occurs once the stress intensity factor (SIF) overtakes the material fracture toughness. At this level, the crack will grow rapidly resulting in unstable crack growth until a complete fracture happens. The SIF calculation of the materials can be conducted by experimental, theoretical and numerical techniques. Prediction of SIF is crucial to ensure safety life from the material failure. The aim of the simulation study is to evaluate the accuracy of SIF prediction using finite element analysis.

The bootstrap resampling method is employed in S-version finite element model (S-FEM) to generate the random variables in this simulation analysis. The SIF analysis studies are promoted by bootstrap S-version Finite Element Model (BootstrapS-FEM). Virtual crack closure-integral method (VCCM) is an important concept to compute the energy release rate and SIF. The semielliptical crack shape is applied with different crack shape aspect ratio in this simulation analysis. The BootstrapS-FEM produces the prediction of SIFs for tension model.

The mean of BootstrapS-FEM is calculated from 100 samples by the resampling method. The bounds are computed based on the lower and upper bounds of the hundred samples of BootstrapS-FEM. The prediction of SIFs is validated with Newman–Raju solution and deterministic S-FEM within 95 percent confidence bounds. All possible values of SIF estimation by BootstrapS-FEM are plotted in a graph. The mean of the BootstrapS-FEM is referred to as point estimation. The Newman–Raju solution and deterministic S-FEM values are within the 95 percent confidence bounds. Thus, the BootstrapS-FEM is considered valid for the prediction with less than 6 percent of percentage error.

The bootstrap resampling method is employed in S-FEM to generate the random variables in this simulation analysis.