Multimedia package for learning English based on learners’ profile

The current advancement of Information and Communications Technologies (ICT), especially the advancement in multimedia technology, has spurred the use of computers in education setting. The use of multimedia technology for teaching and learning have been proved that to be essential and more effective compared to the conventional approach. Research have stated that multimedia technology application can help the students in their learning process by attracting and engaging the learners, providing a better learning retention time, making learners more self reliant and proactive in their learning environment.This research aims to study the development of a multimedia package based on learners` profile in English.The multimedia package was developed based on two main objectives : I) developing a learners` profile to determine learners` learning style, II) developing a multimedia package for learning English.The development of this multimedia package took into consideration various aspects such as : principles of instructional design in the development of learning materials and the development methodology of a package; multimedia elements and the integration of learning and cognitive theories in package development.The multimedia package consists of three main modules to meet the needs of each type of the preferred modality learning style of learners : visual, auditory and kinesthetic learning style.The evaluation of the multimedia package was conducted to test the system based on its strengths and weaknesses amongst the students.Findings of the research showed that despite a number of weaknessess of the system, the modules of the system based on specific learner’s learning styles managed to attract the interest of learners based on their matching learning styles.The fuzzy logic and neural network have been applied at this stage to analyse the ouput data for evaluation purposes

Pixel Value Graphical Password Scheme: Analysis on Time Complexity performance of Clustering Algorithm for Passpix Segmentation

Passpix is a key element in pixel value access control, containing a pixel value extracted from a digital image that users input to authenticate their username. However, it is unclear whether cloud storage settings apply compression to prevent deficiencies that would alter the file's 8-bit attribution and pixel value, causing user authentication failure. This study aims to determine the fastest clustering algorithm for faulty Passpix similarity classification, using a dataset of 1,000 objects. The source code for the K-Means, ISODATA, and K-Harmonic Mean scripts was loaded into a clustering experiment prototype compiled as Clustering.exe. The results demonstrate that the number of clusters affects the time taken to complete the clustering process, with the 20-cluster setting taking longer than the 10-cluster setting. The K-Harmonic Mean algorithm was the fastest, while K-Means performed moderately and ISODATA was the slowest of the three clustering algorithms. The results also indicate that the number of iterations did not affect the time taken to complete the clustering process. These findings provide a basis for future studies to increase the number of clusters for better accuracy

A Study into the Development of a Light Weight Smart Life Buoy Prototype (LWSLB)

Life Buoy, also known as a life preserver, is a crucial safety tool on board any marine ships. The most common and conventional lifesaver is operated manually to save people from drowning, yet this method poses a risk for both the victim and rescuer. Hence, with the help of current technology, a smart lifebuoy has been developed, whereby the rescuer just operates the lifebuoy using remote control. Yet, the existing smart life buoy system has been found heavy and hard to be operated, especially for women, children, and other people with disabilities.This paper focuses on the development of a lightweight smart life buoy system and its characteristics. Arduino Uno R3, Arduino Nano, DC motor 775, Transmitter and Receiver kit were the main components used in the development of the lightweight smart life buoy system (LWSLB). The developed LWSLB system was tested at the National Defence University of Malaysia’ swimming pool due to Covid-19 lockdown, and data such as speed, range of remote connection and battery endurance were obtained. It has been found out that the developed LWSLB weighs just 3.5kg overall compared to Brand S which weighs 13.75kg. However, in terms of speed, Brand S proves to be faster at 4.17m/s compared to LWSLB which exhibits a speed of 1.25m/s

Pixel Value Graphical Password Scheme: K-Means as Graphical Password Fault Tolerance

Pixel value access control (PVAC) was introduced to deliver a secure and simple graphical password method where it requires users to load their image as their password. PVAC extracts the image to obtain a three-octet 8-bits Red-Green-Blue (RGB) value as its password to authenticate a user. The pixel value must be matched with the record stored in the database or otherwise, the user is failed to authenticate. However, users which prefer to store images on cloud storage would unintentionally alter and as well as the pixel value due to media compression and caused faulty pixels. Thus, the K-Means clustering algorithm is adapted to fix the issue where the faulty pixel value would be recognized as having the same pixel value cluster as the original. However, most of K-Means algorithm works were mainly developed for content-based image retrieval (CBIR) which having opposite characteristics from PVAC. Thus, this study was aimed to investigate the crucial criteria of PVAC and its compatibility with the K-Means algorithm for the problem. The theoretical analysis is used for this study where the suitable characteristics of K-Means are analyze based on PVAC requirements. The compliance analysis might become a referencing work for digital image clustering techniques adaptation on security system such as image filtering, image recognition, and object detection since most of image clustering works was focused on less sensitive image retrieval

Multimedia Package For Learning English Based On Learners' Profile

ABSTRAC

Critical Success Factors (CSFs) Model for Military Training Mobile Gaming Apps (MG apps)

Mobile gaming is a part of worldwide Information and Communication Technology (ICT) characterized by new paradigms and rapid growth (ICT). Integrating mobile games into military training equips trainee officers with the requisite effectiveness, efficiency, and enjoyment to accomplish training assignments. To ensure the optimization and quality of mobile gaming, it is vital to study key success factors (CSFs) to design app user interfaces. This study aims to develop a CSFs model of mobile gaming apps (MG apps) and assess the applicability of the model in military training. This research intends to examine the CSFs of MG apps, build a structure of CSFs of MG apps, and develop a CSFs model of MG apps for the purpose of military training. In the study, a sample of hundreds of cadet officers from the Malaysian Military Training Academy was utilized. The research was conducted in three phases: theoretical analysis, empirical study, and development of the proposed CSFs model of MG apps in military training. This paradigm is helpful to sectors of ICT and Defence Technology as an alternative way to ensure the success of the development of MG apps for military and armed forces education and training. This strategy also provides a new successful mechanism and assurance for using MG apps in military and armed forces education and training, as well as ICT-savvy cadet officers from Malaysia

Monitoring of mangroves changes in Pulau Kukup using geographical information system (GIS)

Mangroves forests provide a support to the coastal livelihood, ecosystem, socioeconomic and also the environment. In Malaysia, the mangroves forest has been in declining rate causes by a few factor such as conversion to shrimps ponds, urban development and tourism. Such threats led to increasing demand for detailed mangrove maps for the purpose of measuring the extent of deterioration of the mangrove ecosystem. However, it is difficult to produce a detailed mangrove map mainly because mangrove forest is very difficult to access. Remote sensing technology provides a genuine alternative to the traditional field-based method of mangrove mapping and monitoring. This study analyses and map the mangrove forest changes at Pulau Kukup, Ramsar Site Johor from 2013 until 2021 using the Normalized Difference Vegetation Index (NDVI). The findings of this study are the mangrove forests in Pulau Kukup, Ramsar Site Johor, revealed an unfavourable shift leading to deforestation from 2013 to 2016. However, between 2019 and 2021, the mangrove forest improves as the forest's vegetation grows