Recently Published
Journal article

Building A Prototype of an Eco-friendly House in the Peri-Urban Area

Journal article

Building A Prototype of an Eco-friendly House in the Peri-Urban Area

Journal article

Design A Monitoring and Control in Irrigation Systems Using Arduino Wemos with the Internet of Things

Journal article

ARX, ARMAX, Box-Jenkins, Output-Error, and Hammerstein Models for Modeling Intelligent Pneumatic Actuator (IPA) System

Journal article

Lignin Decomposition of Oil Palm Frond by Pleurotus Ostreatus with A Variation of Corn and Rice-husk Media

Most Viewed
Journal article

Theme Identification Using Machine Learning Techniques

With the abundance of online research platforms, much information presented in PDF files, such as articles and journals, can be obtained easily. In this case, students completing research projects would have many downloaded PDF articles on their laptops. However, identifying the target articles manually within the collection can be tiring as most articles consist of several pages that need to be analyzed. Reading each article to determine if the article relates theme and organizing the articles based on themes is time and energy-consuming. Referring to this problem, a PDF files organizer that implemented a theme identifier is necessary. Thus, work will focus on automatic text classification using the machine learning methods to build a theme identifier employed in the PDF files organizer to classify articles into augmented reality and machine learning. A total of 1000 text documents for both themes were used to build the classification model. Moreover, the pre-preprocessing step for data cleaning and TF-IDF feature extraction for text vectorization and to reduce sparse vectors were performed. 80% of the dataset were used for training, and the remaining were used to validate the trained models. The classification models proposed in this work are Linear SVM and Multinomial Naïve Bayes. The accuracy of the models was evaluated using a confusion matrix. For the Linear SVM model, grid-search optimization was performed to determine the optimal value of the Cost parameter.
Journal article

Overall Equipment Utilisation (OEU) Monitoring and Remote Quality Check in Legacy Machine with Raspberry Pi

Overall Equipment Utilisation (OEU) plays an important role as a benchmark for manufacturing companies to determine each machine's efficiency. Currently, there is no proper OEU measurement system in legacy machines and only relies on human observation. This project aims to develop a measurement of OEU system by using Optical Character Recognition (OCR). An efficient Optical Character Recognition (OCR) algorithm is needed to have a high percentage of recognition rate. The outcome of this project will be a Graphical User Interface (GUI) that display real-time OEU monitoring and remote quality check for legacy machines. Pytesseract-OCR Version 4 classifier using the Recurrent Neural Network (RNN) method has been proposed in this paper. Furthermore, an error detection feature is designed from OCR output.
Journal article

Localisation of Inspection Probes in A Storage Tank

Journal article

1 X 1000 KVA Transformer Measurement Analysis Using Dyn-11 Vector Group and Off Load Tap Changer

Journal article

Localisation of Inspection Probes in A Storage Tank

Journal article

1 X 1000 KVA Transformer Measurement Analysis Using Dyn-11 Vector Group and Off Load Tap Changer

Suggested For You
Journal article

Simulation of CO2 Corrosion of Carbon Steel in High Pressure and High Temperature Environment (HPHT)

In HPHT environments, the mechanism of CO2 corrosion faces a challenge as an effect of chemical-physical reactions on the metal surface. The presence of other elements in the CO2 system complicates corrosion behavior. To provide a realistic mechanism for corrosion process, some corrosion prediction models have developed software using fundamental theories such as electrochemical reactions and thermodynamics theories. Existing methods to predict corrosion rate models in HPHT environments have shown reasonable results. This paper reviews software of corrosion predictions which calculate corrosion rate based on mechanistic theories that study effects of H2S, acetic acid (HAc) concentrations, shear stress, pH in temperature from 25oC – 100oC and pressure from 1–10 bar. From the simulation, corrosion rate increased significantly in the high pressure CO2 environment. Corrosion rate at pH 4 increased to 30 mm/y at a temperature from 15oC to 90oC. While at pH 8 corrosion rate reached 4 mm/y. This lower corrosion rate indicated a tendency for deposits formation at higher pH. Corrosion rate behaves in a different mechanism at high temperatures. The corrosion rate decreased to 4 mm/y when the temperature increased to more than 90oC. Effects H2S gas and HAc were identified to increase corrosion rate. Both elements provide extra cathodic reaction and create limiting current density in the cathodic reaction process based on polarization sweep models. However, the polarization graph calculated using corrosion models could not display passive behavior in the anodic polarization process. Thus, further, improvement should be considered. From the data calculation, it can be shown that corrosion prediction software can predict corrosion rate in HPHT conditions.
Journal article

A Review of the Smart Grid Communication Technologies in Contactless Charging with Vehicle to Grid Integration TECHNOLOGY

Power needs to be transferred from the source to the load (electric vehicle). Transmitting electricity through the air gap for charging using electromagnetic waves as one of the smart grid technologies called Wireless Power Transfer (WPT), or Inductive Power Transfer. This paper presents the fulfilment of future gird that addresses the issues of Greenhouse Gas emission, and transportation and industries emissions known as the smart grid with a complex system. The complexity of the smart grid communication system is the motivation to be an open area of research issue. The main contribution of this paper is to close the gap between this research and other researches by delivering a comprehensive review and update the recent state-of-the-art of smart grid communication technologies with the integration of vehicle-to-grid (V2G) technology using the contactless charging method. Smart grid communication technologies with their pros and cons, topologies of wireless communication, challenges of the V2G, WPT challenges, and standards are discussed. Therefore, this study is expected to be a significant guide to engineers and researchers studying in the field of smart grid communication technologies and contactless charging for electric vehicles.
Journal article

Development of Streaming Media Security Using Geolocation

Journal article

Network Security Monitoring System Via Notification Alert

Journal article

Design of A Dual-Band Microstrip Antenna for 5G Communication

Journal article

Development of Streaming Media Security Using Geolocation

Journal article

Network Security Monitoring System Via Notification Alert

Journal article

Design of A Dual-Band Microstrip Antenna for 5G Communication

Journal article

Microgrid Communication and Security: State-Of-The-Art and Future Directions

Take the red pill. Enhance your publishing experience.
This academic journal is powered by Neliti, a free website builder for academic content providers. Migrate your repository, journal or conference to Neliti now and discover a world of publishing opportunities. Migrate Now right-arrow-icon