PERINTIS eJournal

English MANAGEMENT OF NON-MONETARY ATTRIBUTES FOR VALUE ENGINEERING IN CONSTRUCTION PROJECTS

2023-05-25T15:20:37+08:00

The ability to optimise resources is key to a sustainable project. It is shown that projects can control their resources better with value engineering. Non-monetary attributes are often neglected as they cannot be valued without proper methods. Therefore, this research aims to contribute towards the value engineering element in defining the non-monetary attributes in construction projects. Data were collected through document review, MentiMeter, Google Form and expert interviews. The data was then analysed using content and statistical analysis. Based on the document review, thirty-six non-monetary attributes were extracted. Ten were chosen to be further explored. The ten non-monetary attributes are job security, expectation, safety and health, qualification, customer satisfaction, progress efficiency, reputation, energy consumption, carbon emission and renewable energy. These attributes were later studied to find the factors affecting the non-monetary attributes.

NUMERICAL ANALYSIS OF FUEL REGRESSION RATE IN HYBRID ROCKET MOTOR WITH STAR SHAPE PORT FUEL GRAIN

2023-12-25T09:03:38+08:00

Hybrid Rocket Motor (HRM) has a critical weakness that impacts performance: low regression rate. Due to this, extensive investigation has been done on the star-shaped port fuel grain to enhance the regression rate. Several simulations using Computational Fluid Dynamics (CFD) have been done on 5-, 6-, and 8-vertice star-shaped port fuel grain under several initial conditions to study the impact on the regression rate. The regression rate of the 6-vertice star is the highest in all three types, and the 5-vertice star is the lowest. The results show that the corner's angle in the star shape affects the combustion temperature. The temperature in the corners is lower than in other parts of the star. The regression rate of the 6-vertice star is the greatest because it has the largest corner angle of 60 degrees, and the 5-vertice star has the smallest corner angle of 36 degrees.

Indoor Navigation System Guide for Visual Impaired Community

2023-12-20T11:52:57+08:00

The project is about developing website indoor navigation for Kulliyyah of engineering at international Islamic university Gombak campus. The project will support the visual impaired community by guiding them to their destination inside the building. New hardware will be developed to aid this navigation, as the current GPS and Wi-Fi based methods are not accurate enough for indoor mapping because signal inside the building it does not give accurate results. As well, some projects use Wi-Fi to give the positional. In this project, it will update the KOE indoor maps to a website that will guide the visitors by giving them instructions form point to point. The white cane with accelerometer will help the visually impaired people to follow the instruction that was given by the web site. Sensors will also be implemented to detect the floor level, assisting in navigation within the building.

Muscle Activity Detection of Human Upper Limb Using Piezoelectric Based Sensory System

2023-12-25T08:59:11+08:00

Materials with piezoelectricity effect have gained its popularity not only in the area of structural vibration but has been actively used in the area of biomechatronic for the past years. Polyvinylidenefluoride (PVDF) film, a type of piezoelectric polymer materials, is often used as sensing elements to capture signals from human body due to its lightweight and flexibility. In this research, two PVDF films of different lengths were used to study the activity of biceps branchii muscle during arm flexion and extension. A normal and healthy male subject was selected for this experiment and measurements were taken at the flexion angles of 0°, 90° and 145° for 30 seconds. The experiment was also repeated with a load of 4 kg and 7kg. It is seen that shorter PVDF film exhibits better performance. In addition, the higher the load, the higher the voltage generated by the PVDF film.

IDENTIFYING THE CORRECT ARTICULATION POINT OF A QURANIC LETTER IN OF THE THROAT (AL-HALQU) MAKHRAJ

2023-12-23T09:04:55+08:00

Tajweed is an essential tool for a Muslim in reciting the Holy Quran as it ensures the recitation is properly done as what has been practiced by the Prophet Muhammad s.a.w and his companions. In Tajweed, mastering makhraj, or the Quranic letter point of articulation in pronunciation, is crucial for a Muslim. Tajweed is traditionally taught in "Talaqqi", where face-to-face sessions are commonly conducted with teachers, from early ages children. The fact is that the time and resources are limited especially in some areas in the world where getting easy access towards a certified teacher for Quranic teaching and learning is a big issue. Considering this issue. With the enrichment of technology particularly in Artificial Intelligence (AI) nowadays, this limitation can be overcome. The conventional face-to-face learning can be supported with AI-based system for Quranic teacning and learning. There are few systems with regard to Quranic teaching and learning but most of them are focusing on memorization and recitation of the Quran rather than Tajweed. This study presents the algorithm design, technique, and simulation of a Speech Recognition-based method to detect the correct articulation point (Makhraj) of the throat letters in the Quranic word. The study starts with a lots of data collection from experts in pronouncing the Quranic letters, data augmentation, data pre-processing, features extraction using MFCC and deep learning model and validation using designed Graphical User Interface (GUI). Data was trained using a deep learning Convolutional Neural Network (CNN) classification model. Results shows that the algorithm was able to detect the letters produced at throat area, which are categorized as Izhar Halqi letters. The outcomes will help to provide the most efficient way for machines to analyse the Quranic recitation and translate it into a new model that will help human and computer to understand, interact, and improve.

DESIGN AND DEVELOPMENT OF SOLENOID-BASED REFRESHABLE BRAILLE CELL

2023-12-26T10:08:42+08:00

Vision is one of the senses given by god which is an important aspect in human life. With this sense, human are able to see the beauty of the god’s creations. But some of them are unfortunate because they do not have this one sense which will give them some problem to do the daily chores like a normal person do. The problem becomes worse when they are unfamiliar with the place. Hence, to minimize their difficulties, a concept has been thought to help Visually Impaired people to understand things and their surroundings. Thus this report discusses on designing and developing a solenoid-based refreshable Braille cell by controlling push-type solenoid by using Arduino microcontroller. In most of the refreshable Braille applications, they use solenoid Braille cells are able to operate with low voltage from the command input of any Braille character. The design for each solenoid Braille cells is depended to each Braille character that will consist of six dots in rectangular array 3x2. The display of Solenoid Braille consists of structural base and a pin. The active dot which is corresponding to the input signal from the user will rise up when it is triggered by the electrical signals. For the Arduino microcontroller, the program language is written in CCS C program language

PERSPECTIVES OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A SYSTEMATIC REVIEW OF THE HEALTHCARE PROFESSIONALS

2023-12-20T11:17:52+08:00

Today’s technology has reshaped the future of medicine through the advancement in Artificial Intelligence (AI). AI could revolutionize healthcare delivery, improve patient outcomes, and enhance the capabilities of healthcare professionals. This review was conducted to explore the perspectives of AI in healthcare among healthcare professionals. The electronic databases MEDLINE, CINAHL, and manual searches were used to identify relevant articles published between 2013 and April 2023. The keywords used were “artificial intelligence”, “healthcare”, and “perspectives”. Overall, healthcare professionals generally recognize the potential and benefits of AI in healthcare practice. However, some concerns such as lack of familiarity, higher costs for the patient, and ethical and legal problems have been raised. Besides, they also worried that AI may replace their tasks, and impact job security. Despite their positive perspectives towards AI, however, it is also found that they had a lack full understanding of AI due to some concerns that are hindering them. The limited studies that have been conducted in this area have also highlighted the need for further exploration of the level of knowledge among different healthcare professionals. Exploring knowledge of AI in healthcare among healthcare professionals is crucial to identifying gaps, planning educational modules, and promoting responsible AI use.

REAL TIME NEURO CONTROL TECHNIQUE OF A TWIN ROTOR SYSTEM

2023-12-27T11:22:31+08:00

This paper describes the development of neural network controller of twin rotor multi input multi output system (TRMS) in real time. The TRMS is the aerodynamic test rig representing the control challenges of modern aircraft. As TRMS resemble the helicopter’s behavior in certain aspect, it becomes the best laboratory platform for this topic. The mathematical modeling for pitch channel required for this topic can be derived based on TRMS model. System Identification technique is suggested to be use to get the proper TRMS modeling for better result. Based on the mathematical modeling, the behavior of the system can be predicted and the control will be train to compensate the error to enhance the robustness and stability of the system. In this topic neural network control technique is apply for adaptive controller to get desired performance.