Blockchain presents many new examples of delivering a robust audit trail using the distributed ledger. However, some potential issues, especially scalability and privacy, are still ongoing in the blockchain. Fortunately, these issues can be settled by using cloud computing. Cloud computing is an on-demand service that enables consumers to purchase and use IT resources. It saves the consumer's cost as consumers don't have to spend extra on building their on-premises server and providing extra security to the application. Enterprises interested in joining the blockchain flow can run their blockchain in the cloud. Cloud Service Providers (CSPs) provide multiple services such as IaaS, PaaS, SaaS and BaaS that can help a business start its blockchain application. But there are still risks that should be carefully noted. Data leaks and breaching are still possible despite the safety and privacy guarantees. The failure to achieve proper security will have to face massive potential fines. In this research, the authors addressed the impact of utilising the cloud in the blockchain and provided an in-depth understanding of the relationship between blockchain technology and cloud computing.

The Internet of Things (loT) has lately grown across various applications, drawing much attention to its development. This research proposes to use loT to improve women's safety and ensure a much safer environment for their protection. It proposes to use an loT-based safety system designed to help women in danger or stress by alerting authorities and emergency contacts. The final artefact was derived based on experimental calculations. Multiple testing techniques were applied to check the accuracy and effectiveness of the proposed artefact.

The deadly virus COVID-19 has heavily impacted all countries and brought a dramatic loss of human life. It is an unprecedented scenario and poses an extreme challenge to the healthcare sector. The disruption to society and the economy is devastating, causing millions of people to live in poverty. Most citizens live in exceptional hardship and are exposed to the contagious virus while being vulnerable due to the inaccessibility of quality healthcare services. This study introduces ubiquitous computing as a state-of-the-art method to mitigate the spread of COVID-19 and spare more ICU beds for those truly needed. Ubiquitous computing offers a great solution with the concept of being accessible anywhere and anytime. As COVID-19 is highly complicated and unpredictable, people infected with COVID-19 may be unaware and still live on with their life. This resulted in the spread of COVID-19 being uncontrollable. Therefore, it is essential to identify the COVID-19 infection early, not only because of the mitigation of spread but also for optimal treatment. This way, the concept of wearable sensors to collect health information and use it as an input to feed into machine learning to determine COVID-19 infection or COVID-19 status monitoring is introduced in this study.

Flood disaster is known to impact people and the environment substantially. People impacted by floods may lose properties and homes. Furthermore, there are also a substantial number of deaths yearly in case of a flood disaster. Malaysia has been hit by floods pretty frequently for the past few years. Government bodies and non-government organisations have collaborated to develop necessary measures to mitigate the flood disaster. Flood forecasting, warning, and zoning have been acknowledged as some of the few non-structural strategies considered crucial in flood mitigation. All these measures are vital to reduce the impact of the flood disaster on the people, eventually making them prepared to embrace any emergency. Technology is believed to play an essential role in tackling the flood issue. Several countries all across the globe have relied on the current advancements in technology to make predictions regarding flood incidents, weather forecasting and so on. Moreover, these systems give warnings and alerts to the people before a flood disaster. Therefore, utilising technology in tackling disasters like floods can reduce the severe impacts of floods in the years to come and also tends to end the loss of lives due to floods. As part of this research, the authors have first investigated the requirements and then proposed the design of a simple and easy-to-implement IoT-based flood monitoring system. Finally, a prototype is prepared to provide the proof of concept of the proposed solution.

The introduction of cloud computing has altered how IT demands are satisfied. Every chief information officer is focused on cloud computing because it has ushered in a new era in IT. Many banks are now utilising cloud technologies to accomplish their ever-demanding goals. Cloud computing offers business models for providing cutting-edge customer experiences, successful teamwork, improved IT efficiency and faster speed to market. Banks can react to changing business requirements rapidly by using cloud computing. The paper offers a valuable perspective on the potential applications of cloud computing in the banking sector and its various business models, cloud service providers, and adoption challenges.

This study elaborated on the importance of fitness in the contemporary environment, put forward the problems in traditional fitness, and conducted a series of discussions according to the questions. It conducted an in-depth analysis of fitness data utilising appropriate data analysis techniques to explore the relationship between different fitness data. Moreover, this study explores the processes and tools needed for analysis and explains the difficulties and resistance that may be encountered in future research. The literature section provides a detailed discussion on muscle gain and weight loss in fitness, the elaboration of big data frameworks, and machine learning methods that may be applied in this field. However, the regression models were only conducted on calorie burning for weight loss due to the lack of suitable muscle data. The optimal Mean Absolute Error and coefficient of determination were obtained as 8.307 and 0.967. The final section also concludes the process and results of this study and puts forward the shortcomings and the direction for future improvement.

Surveillance camera has become an essential, ubiquitous technology in people's daily lives, whether applicable for home surveillance or extended to public workplace detection. The importance of the camera is irreplaceable in terms of the agent for an enclosed system to function correctly. The goal of ubiquitous computing is to keep different devices or technology communicating seamlessly, allowing them to expand to other areas instead of limiting it to one device. However, many research papers have been released on how the camera can aid in the current situation where COVID-19 is still raging worldwide, especially in crowded places. This paper aims to suggest a method by which surveillance cameras on the university campus can automatically detect student face mask status and notify them. Alongside that, this concept of applying a video management system within the university campus will assist in the automation of invigilating the student's daily mask status from the number of embedded surveillance cameras around the campus.

This research proposes a smart entrance system to cope with the COVID-19 pandemic in public places. The system can help automate standard operating procedures (SOPs) for checking. The paper focuses on exploring the problem context related to the COVID-19 SOPs for public places. The research on technologies involves using thermal cameras, fingerprint recognition, face recognition, iris recognition, object detection and cloud computing. These technologies can be integrated to provide a more versatile and effective solution. The technological solutions proposed by contemporary researchers are also critically analysed by investigating their advantages and disadvantages.

Curriculum Vitae (CV) is an essential document for a person to obtain a suitable job in a company. The main purpose of a CV is to create a profound impression on the recruiters which helps to attract their attention. CV also acts as the first communication between a person and the recruiter before the job is offered and the candidate is proceeded to the next stage. Personalities are very important when it comes to job hiring for a company. Most of the experienced recruiters can determine the candidates' personalities before conducting an interview session by going through the content of the CV. Employers always sought for the most suitable candidates with dynamic personalities for the relevant job positions to ensure good productivity and job performance. Therefore, personality assessment tests are conducted by the job recruiters to find the suitable candidates for the vacant positions in their company/organization. The drawback for the traditional hiring process is the large amount of time taken to process numerous applications. To save the time of both job recruiters and applicants, authors have conducted this research that allows the CV to be extracted by utilizing machine learning algorithms to obtain the vital information needed to evaluate the applicants' personalities. The research presents experimental study for the effectiveness of the selected algorithms towards extracting personality traits from the CV. Based on the experimental evaluation, the effectivity of the algorithms is discussed with statistical evidences.

Streetlights are among the essential public infrastructure components for both urban and rural areas. It allows people to provide a clear vision at night and brings convenience to society. A Smart Street Lighting System uses IoT sensors and can interact with software to improve its effectiveness and utility. Since streetlights must be turned on for the entire duration of the night, it is essential to find ways of reducing energy consumption to actualize a greener society. It can be done by integrating sensors that can detect movements and control the way streetlights behave through the gathered data. This research aims to reduce the energy consumption needed for the operation of streetlights by applying appropriate IoT based techniques. An extensive discussion on the existing literature and similar systems reviews the current developments critically. The research gathered public insights through a quantitative research approach and applied this information in recommending a solution. With the help of a prototyping model, the authors demonstrated how a Smart Street Lighting System could achieve optimal performance.

In the current era of globalisation, water pollution has gradually worsened, and it has started to reach alarming heights. Water pollution has a severe impact on human health and the environment. The rationale of this research is to propose an affordable water quality monitoring system to save and conserve the quality of consumed water. Water conservation is among the most critical segments of a future smart city project that many countries strive to achieve. This research investigates Malaysia's current water pollution situation and reviews the existing policies that the government has already implemented to curb this issue. Furthermore, it provides an in-depth analysis of similar systems that other fellow researchers have presented. In this paper, the authors have proposed an enhanced water quality monitoring system by implementing an IoT based technological infrastructure suitable for a smart city project. The proposed approach provides a low-cost and power-saving alternative to commercially available systems.