The study aims to integrate neural network algorithm that predicts students' vulnerability of not having graduation on time to an adaptive learning management system. Neural network is one of the popular machine learning techniques because of its learning algorithm. The learning algorithm is focused on updating weights of the edges in order to produce minimal mean squared error between actual and predicted values. The integration of this platform could lead to much efficient learning management system as LMS is mainly driven to provide individualized and personalized learning tailored to specific requirements and learning preferences. The neural network algorithm is designed to classify students with learning difficulty so that administrators can formulate remediation and academic support policies.

Blood banking is the process of collecting, separating and warehousing blood. There are numerous file-based repositories of blood bank management that exist for storing data for blood bank ecosystem such as hospitals and centers. This functions for maintaining the information of donors, availability of blood, and transaction information. Currently, these systems are effort intensive, costly, and failed to achieve efficiency in terms of its filtering mechanism which makes repository penetrating faster and reliable. This paper introduces a new design for blood banking ecosystem with proper filtering solution using frame-based approach. The system has three major features: (1) blood camp setup module, (2) stocks management module which includes the blood donation and blood releasing, and (3) the filtering system module which shows the nearest blood camp with the available blood type based on the patients’ needs. Also, with the use of frame-based approach as filtering method, the system is more efficient and reliable compared to other blood banking repository systems. The system’s functionality was tested for its efficiency, usability, and reliability and the results are revealed in the survey. Conclusions and future work were also provided in this paper.

The blockchain phenomena is no longer about Bitcoin or cryptocurrency, it is beyond a common protocol to make it nearly impossible to create fraudulent transaction. Blockchain based architecture overall performance is subjected to storage expenses with high computational cost. This paper designed a new consensus protocol for Blockchain using Content Addressable Pattern with the adaptation of modified SHA256 algorithm. Although government, business and other entities interest of adapting blockchain to their processes, the complexity issues and operational cost is still a challenge to date. With the newly design consensus protocol the process of validating the transaction that involves tedious mining or solving cryptographic puzzles has been eliminated and move towards using signature to authenticate the transaction. Concatenation of all these elements is a generated hash value using modified SHA256. Since the hash is secured, the transaction is secured. Thus, the implementation of off-chain chanel instead of global consensus addresses the complexity and high computational cost of blockchain technology.

Data analysis is an integral part of research. Most researchers examine their results by using graphs, tables, charts, and figures. These methods are effective, but knowledge transfer is limited because it only depends on what the authors or researchers have presented. The need to scrutinise further the given data is essential. One way of addressing this problem is to utilise a graphical user interface (GUI), wherein a user can manually choose some parameters of an extensive dataset to display and analyse. In this paper, the results of the four variants of clustering techniques, namely the Ant Colony Optimization (ACO), Gaussian Mixture Model (GMM), K-Power Means (KPM), and Kernel-Power Density-Based Estimation (KPD), in grouping the wireless multipath propagations, are evaluated through the use of a GUI. The accuracy performance of each clustering algorithm can be obtained by choosing in the GUI the corresponding channel scenario that the user would like to investigate. A deeper analysis of the clustering characteristics can also be done by selecting other parameters in the GUI. This selection gives a better understanding of the behaviour of each clustering technique and provides an effective way of presenting and analysing the different sets of data.

The Internet of Things (IoT) and Blockchain are increasingly growing focus on research. Blockchain is like the Internet when we first knew of it. This new technology could revolutionize how we do everything. Seriously, everything. Think how the Internet changed our daily lives today. And just like that, we don't really have to understand the technology behind it and be knowledge of its importance. But what makes this innovation revolution a bigger deal than Bitcoin and possibly even the Internet itself, are the exponential opportunities the concept provides. However, the potential to integrated Blockchain to Internet of Things (IoT) has constraint due to the required high computational power. IoT comprises of numerous platforms which have limited performance. Usually, these platforms cannot handle intensive procedures and often has scalability issues. In this paper, we give an overview of consensus algorithms and the necessity of this method to blockchain technology. Moreover, we focused on three of the utmost common consensus algorithms used in blockchain technology and explore their potential adaptation in an IoT framework with respect to its requirements.

Event Management Solution is a web application for EINS Consultancy that allows users to manage events, announcements, and content of the website. Management includes creation, deletion, update, and view. Both the System Manager and Administrator have the privilege to manage events, announcements, and content of the website. Only the System Manager has the privilege to manage user accounts and view the audit trail. While the end-user is able to view the created events and posted announcements. Also, an end-user could register to available events through an electronic form. EINS event management solution is a platform that handles event management and registration modules. With the above mentioned features, the system can produce easy access reports from the centralized repository of data. This leads to lessen or illuminate inaccurate reports from the current processes used by EINS Consultancy. The researcher used prototyping model as a software developmental technique in developing the application. Different test levels were conducted in order to determine the acceptability of the software which include alpha, beta and user acceptance test.