IEEE Symposium on Industrial Electronics & Applications (ISIEA)
2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA)
6-7 July 2024
Showing 1-25 of 55
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
61920-ISIEA, 2024 (PRT)
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Design Space Exploration with Machine Learning Co-Optimization
Quek Li Chuang;Ang Boon Chong;Lee Chia Cheng;Koh Jid Ian;Nordin Nor Farahanim;Mei Ghee Lok;Phang Eng Hong
Publication Year: 2024,Page(s):1 - 4
In recent years, electronic design automation has been preoccupied with machine learning. The application of machine learning is being utilized by the design industry to increase the predictability of physical design and signoff. Presently, machine learning applications in the field of integrated circuit design are primarily concerned with yield modeling, lithography hotspot identification, noise ...Show More
Harmonizing Control and Creativity with AI for Animator's Toolkit
Publication Year: 2024,Page(s):1 - 7
This study looks into the nuanced interaction between AI-driven autonomy and animator control within digital animation, a domain witnessing rapid technological advancements. Focusing on the AI-rendering techniques demonstrated in the works of Mick Mahler, with his explicit permission, we explore the balance of creative expression and automated efficiency in producing high-quality animations. The r...Show More
Innovative Workflow for AI-Generated Video: Addressing Limitations, Impact and Implications
Publication Year: 2024,Page(s):1 - 7
The integration of artificial intelligence (AI) into video production has ushered in an era of significant transformation within the media landscape. This paper presents an in-depth analysis of AI-driven video generation, with a specific focus on the SORA platform, to illuminate the present capabilities, limitations, and future prospects of this emergent technology. Our study synthesizes expert di...Show More
Classification of Gait Phases by Using SVM and ANN Based on EMG Signals
Nurhazimah Nazmi;Shin-Ichiroh Yamamoto;Muhammad Amirul Sunni Rohim;Ezreen Farina Shair
Publication Year: 2024,Page(s):1 - 6
Advanced technology in rehabilitation aims to improve gait patterns through innovative mechanisms and powerful motors. Interestingly, a good performance of the control system of those devices can be achieved when it is paired with a functional gait phase detection algorithm using wearable sensors such as electromyography (EMG) signals. Since emerging machine learning in EMG signals has a significa...Show More
Examining the Influence of Interactive Augmented Reality on Textbooks in Geography Education: A Research Paper Investigating Road Construction & Banning with 21st Century Pedagogy
Publication Year: 2024,Page(s):1 - 6
This study addresses the decline in geography education interest by exploring the effectiveness of an AR Interactive Learning Geography textbook. We conducted a pilot study utilizing questionnaires and interviews to gather data on student engagement and perceptions. Findings revealed a strong preference for AR technology, with 80% of students expressing interest. Additionally, urban traffic safety...Show More
Classification of Mild Cognitive Impairment in Senior Citizens from Blood Samples Using Machine Learning
Arina Hasan;Nasreen Badruddin;Norashikin Yahya;Kalavathy Ramasamy
Publication Year: 2024,Page(s):1 - 6
Dementia rates are rising globally, and Malaysia is no different. However, current diagnostic methods for cognitive impairment face challenges regarding cost, accessibility, and precision. In response, this work proposes a new method for the reliable and timely detection of mild cognitive impairment (MCI) in the senior population that uses blood-based biomarkers and machine learning models. Throug...Show More
Fast Fraud Detection Schema Based on Blockchain and Tree Indexer to Ensure Agricultural Supply Chain Safety
Publication Year: 2024,Page(s):1 - 6
Cited by: Papers (1)
Robust and trustworthy traceability systems are now essential due to the rising concerns about food safety, quality control, and transparency in the agricultural sector. Blockchain, known for its decentralized and immutable nature, has emerged as a promising solution to address these challenges and revolutionize supply chain operations. This paper attempts to figure out how Blockchain helps in enh...Show More
Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
Saiful Izwan Suliman;Mohammad Nur Khalish;Yuslinda Wati Mohamad Yusof;Farah Yasmin Abdul Rahman
Publication Year: 2024,Page(s):1 - 6
Use of multiprocessors applications to solve complex problems in computer's system contributes to the increase in performance and speed of today's computer. In multiprocessors environment, it is very important to have a great strategy or method on scheduling the processors that are utilized to handle a specific task in the computer system. As each scheduling problem involves problem-specific varia...Show More
Deep Learning for Pipeline Interior Defect Classification: A Comparative Study of Polar and Cartesian Coordinate Representations
Zu Jun Khow;Yi-Fei Tan;Hezerul Abdul Karim;Hairul Azhar Abdul Rashid
Publication Year: 2024,Page(s):1 - 6
Recently, the development of deep learning has rapidly evolved, leading to increased demand for Artificial Intelligence (AI) driven assistance across various industries. This includes sectors such as oil and gas mining and sewer cleaning, where pipeline infrastructure maintenance often requires defect detection procedures. Within these industries, many studies have already explored the use of AI t...Show More
Conductivity of Cobalt-Based Magnetorheological Elastomers (Co-MRE) with PDMS
Akmal Arif Nasruldin;Muhammad Kashfi Shabdin;Mohd Mustafa Awang Kechik;Chen Soo Kien;Lim Keah Pah;Nurhazimah Nazmi
Publication Year: 2024,Page(s):1 - 4
Smart materials, such as magnetorheological elastomer (MRE), are frequently used in various applications because they have the ability to modify their properties. Cobalt particles are used as fillers in magnetorheological elastomers (MRE) because of their advantageous magnetic and electrical properties. Polydimethylsiloxane (PDMS) is employed for its electrical conductivity and biocompatibility. T...Show More
Technology Security in Digital Banks and Its Impact on Continuance Intention
Anderes Gui;Fidere Providentia Siagian;Nurul Farhanah Bt Mohd Idres;Razib Chandra Chanda
Publication Year: 2024,Page(s):1 - 6
Cited by: Papers (1)
To enhance customer trust, reduce perceived risks, and increase customer satisfaction, the technological security of digital banking services is paramount. When customers are confident in a bank's ability to protect their sensitive data, they are more likely to continue using the bank's digital services. This trust in the bank's security measures significantly influences their intention to maintai...Show More
UI/UX and E-Service Factors That Affect User Satisfaction and Loyalty in Online Transportation Using D&M Model
Publication Year: 2024,Page(s):1 - 6
This study aims to investigate the influence of User Interface (UI), User Experience (UX), and E-Service on User Satisfaction and Loyalty in the context of online transportation applications. This research focuses on several variables such as Ease of Use (EOU) and Reliability (RY) in context of UI/UX as a part of System Quality; Relevance (RV) and Understandability (U) in context of UI/UX as a par...Show More
Predictive Analytics Using Deep Residual Neural Network Model for The Prediction of Breast Cancer Disease
Publication Year: 2024,Page(s):1 - 5
Utilizing Residual Neural Networks (ResNets) that are fed data received from the Internet of Things (IoT), the objective of this study is to develop a method for detecting breast cancer that can be implemented in the future. The purpose of this research is to successfully address the problem by implementing a system that aims to combat newly emerging illnesses in their early phases. This research ...Show More
Optimal Attacks Classification in Edge Internet of Things Networks Using Deep Learning Algorithm
Publication Year: 2024,Page(s):1 - 6
As a result of the proliferation of applications for the Internet of Things (IoT), people's day-to-day lives have become less complicated. This has concurrently led to an increase in the productivity of both individuals and organizations. The vulnerability of these technologies to attacks is a direct result of the numerous security breaches that have taken place in large-scale information technolo...Show More
This research aims to determine the functions of smartwatch features on people's health. The research method used is a quantitative method, with purposive sampling research techniques as part of non-probability sampling. This research has several variables in smartwatch features such as Blood Pressure Monitor (BPM), Heart Rate Monitor (HRM), Move Alert (MA), Stress Level (SL), Sleep Tracking (ST),...Show More
Energy Consumption Patterns as Indicators of Cyberattacks on Smart Home IoT Devices
Muhammad Redzuan Bin Suhair;Norhaflyza binti Marbukhari;Yusnani Mohd Yussoff
Publication Year: 2024,Page(s):1 - 6
The rapid adoption of Internet of Things (IoT) devices in smart homes has raised significant security concerns due to the lack of standardization and focus on security by manufacturers. This study aims to analyze the energy consumption patterns of IoT devices before and during cyberattacks, providing a potential method for detecting attacks in smart home environments. A testbed consisting of vario...Show More
Hybrid Layered Encoding Cascade Optimization Model in Two-Stage Amplifier Circuit Design
Nazuha Fadzal;Ahmad Nazmi Fadzal;Nurul Huda Kamarulzaman;Suziana Omar;Norhayati Ahmad
Publication Year: 2024,Page(s):1 - 6
The integration of hybrid computational intelligence techniques into the Layered Encoding Cascade Optimization (LECO) model is driven by a balanced approach, combining exploration through Genetic Algorithm (GA) for broader solutions and focused local search employing Particle Swarm Optimization (PSO). In this model, a distinct external layer introduces a layer encoding structure with multi- resolu...Show More
Stabilizing Functions for Designing Minimax-Type Highpass Tunable Filters
Publication Year: 2024,Page(s):1 - 5
A tunable digital system has the high flexibility to vary its frequency-domain properties in real time. A typical tunable digital system is the signal processing system called tunable filter (TF). In the process of digital filtering, a digital filter may need to change its frequency response on the fly. Such a requirement can be met by utilizing a digital filter that possesses frequency-response t...Show More
Revolutionizing Plant Health: Leveraging EfficientNet B3 for Advanced Tomato Disease Detection in Agricultural AI
Abdulgader Ramadan Gadah;Suhaila Isaak;Abdul-Malik H. Y. Saad;Nur Azizah Mokhtar
Publication Year: 2024,Page(s):1 - 6
Addressing the challenge of disease detection in tomato plants, this research introduces a novel approach using deep learning, specifically through the EfficientNet B3 model. Traditional methods, often limited by subjectivity, are surpassed by this model, known for their efficiency and accuracy. Our study employs a dataset of approximately 20,000 images, encompassing various tomato plant diseases ...Show More
Design of Low Power Bandgap Voltage Reference with High Power Supply Rejection Ratio for LDO Application
Publication Year: 2024,Page(s):1 - 12
Voltage reference circuits are very important in electronics nowadays, especially in power management supply. It is used to provide biasing Voltage despite the changes in process, voltage supply, and temperature. A low power bandgap voltage reference circuit was designed which can operate in 1.8 Volts(V), and the topology was implemented in a 180 nanometer(nm) CMOS process. The PSR enhancement sta...Show More
Static timing analysis is one of the important aspect of IC Design signoff. The accuracy of the parasitic RC extraction, the completeness of the modelling library, the qualification of the EDA tools, and the completeness of the timing constraints are all factors that determine the quality of the static timing analysis and the timing signoff. The quantity of nets and instance counts grows in tandem...Show More
The Use of Chatbot and its Impact on Academic Achievement
Publication Year: 2024,Page(s):1 - 6
Cited by: Papers (3)
In recent years, the adoption of chatbot technology has garnered significant interest for its potential to revolutionize various domains, including education. This study aims to analyse the use of chatbots, specifically ChatGPT, and their impact on students' academic achievement in learning programming languages. The research investigates the influence of AI chatbots on learning motivation, self-e...Show More
Correlation of High Harmonic Distortion to Shunt Active Power Filter Operation and Performance
Publication Year: 2024,Page(s):1 - 5
Nonlinear load proliferation in power systems distorts the grid supply current and increases the Total Harmonic Distortion (THD) value. Therefore, this research investigates harmonic components produced by capacitive and inductive nonlinear loads. Next, it focuses on the effect of those harmonic components in selecting a single-phase Shunt Active Power Filter's (SAPF) DC-link voltage. Later, it as...Show More
RHM: Novel Graph Convolution Based on Non-Local Network for SQL Injection Identification
Duc-Chinh Nguyen;Manh-Hung Ha;Oscal Tzyh-Chiang Chen;Manh-Tuan Do
Publication Year: 2024,Page(s):1 - 5
Machine learning and deep learning have long been prominent choices in the scientific research community and practical applications as effective approaches to combat Structured Query Language (SQL) injection attacks. In this study, we proposed a novel graph convolution based on non-local network named Refined Highway Modul (RHM) for SQL injection. Initially, we develop a procedure to transform SQL...Show More
Numerical Assessment of a Hybrid Nanofluid Concentrations Effects on Heat Transfer Enhancement for Liquid Battery Thermal Management System
Abdelrahman Gasmelseed;Ibham Veza;Mhadi A. Ismael;Faiz Ahmad
Publication Year: 2024,Page(s):1 - 6
Electric vehicles are characterized by high lifetime and efficiency dependence on temperature and, as such, require extra attention to thermal management efficiency and reliability. Nanofluids have emerged as a novel technology for improving the heat transfer characteristics of thermal management systems. This paper numerically investigated the utilization of composite CuO-MgO-TiO2 (60%-30%-10% we...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
61920-ISIEA, 2024 (PRT)
- Print on DemandPurchase at Partner
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