Conference Publications

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https://hdl.handle.net/20.500.14170/14077

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Browsing Conference Publications by Title

  • Publication
    Animating sustainable tourism: a literature review analysis of technology's role, challenges, and opportunities
    (IEEE, 2023)
    Suraya Md Nasir
    ;
    Mohd Ekram Alhafis Bin Hashim
    ;
    Wan Azani Wan Mustafa
    ;
    Nor Hazlen Kamaruddin
    ;
    Haider Alabdeli
    ;
    Hafizul Fahri Hanafi
    This research article explores the intricate nexus between animation technology and sustainable tourism animation, conducting an extensive literature review to scrutinize the role, hurdles, and prospects that technology presents in promoting sustainability within the realm of tourism. The outcomes enrich our comprehension of how animation technology intersects with and shapes sustainable practices in tourism, illuminating potential advancements and areas necessitating attention. By dissecting the key technologies employed in sustainable tourism animation, scrutinizing the challenges in their integration, identifying opportunities for their utilization, and assessing their impact on the sustainability of animation, each facet contributes to a comprehensive understanding of sustainable tourism animation's influence on contemporary artistic practices, technological innovations, and educational strategies. Drawing insights from diverse academic sources, peer-reviewed journals, and case studies, this study offers an integrated perspective on the transformative capacity of sustainable animation. It delves into fostering creative expression, encouraging interdisciplinary collaboration, and promoting critical engagement with emerging technologies in the digital age.
      5  16
  • Publication
    Artificial Intelligence Law for Malaysia
    ( 2023)
    Nor Ashikin Mohamed Yusof
    ;
    Intan Sazrina Saimy
    ;
    Siti Hasliah Salleh
    ;
    Amirah 'Aisha Badrul Hisham
    ;
    Wan Azani Wan Mustafa
    ;
    Hassan Alkafaji
    This study examines the proposed artificial intelligence (AI) law in Malaysia, exploring its distinctive approach within the global landscape. While adopting the established "AI Principles,"it rebrands them as "Seven Responsible AI Principles"and introduces the novel concept of "pursuit of happiness"as one of the core principles. This reflects Malaysia's commitment to forging its own path in AI governance, aligning with global standards while embedding unique cultural values and aspirations as expounded by the Federal Constitution and Rukun Negara Principles. Employing a qualitative approach, data was gathered through literature review and Focus Group Discussions (FGDs) with 80 participants representing diverse Quad Helix groups. Thematic and content analysis, along with triangulation, allowed for identification of key themes related to the perceived uniqueness of the proposed law and its alignment with national values. This research contributes significantly by shedding light on Malaysia's innovative approach to AI governance. By prioritizing national values and happiness alongside adherence to global standards, the proposed law has the potential to serve as a model for other nations seeking responsible and culturally sensitive AI regulations. This study offers valuable insights into the early stages of Malaysia's AI journey, paving the way for further discussions and research as the law progresses towards implementation.
      4  13
  • Publication
    Fall detection system for monitoring elderly people using YOLOv7-pose detection model
    ( 2023)
    Pranavan V M
    ;
    Maunika Shekar
    ;
    Sri Lasya Pragathi B
    ;
    Ruzelita Ngadiran
    ;
    Sindhu Ravindran
    The elderly population in the world is continuing to grow at an unparalleled rate and it is important to keep in mind about the safety of the aging population. Falls have become one of the major reasons leading to injury to them and if timely help is not provided, it could lead to serious complications. There are various traditional methods that have been used to detect human falls and wearable devices are one of these methods that contain sensors like accelerometer, gyroscope, barometers, etc. These devices are highly instrumental in computing various parameters based on which the fall will be detected. However, these devices have certain limitations, as they are complex for the elderly people to understand and use. The accuracy of such devices is very low and there are high chances for false alarms as well. Hence, applying a vision-based object detection algorithm for detecting these human falls is highly significant in order to overcome such challenges faced by wearable devices. In this research work, an Object detection based Automated Fall Detection System has been proposed wherein, the YOLOv7 (You Only Look Once) pose model is used to discriminate the fall and non-fall activity. Given a video, the YOLOv7 model will first distinctly separate all the video frames and then pre-process these frames. This pre-processed data is sent for estimating the pose of the person. This resulting output is further subjected to classification as fall or non-fall activity. The dataset used in our approach are self-generated videos that cover a set of daily human activities. The strength of the proposed method has been proved through various performance measures like precision and classification accuracy.
      10  1
  • Publication
    Immersive Technologies: A Literature Review on Brand Engagement and Consumer Behaviour
    ( 2023)
    Nor Hazlen Kamaruddin
    ;
    Mohd Ekram Alhafis Bin Hashim
    ;
    Wan Azani Wan Mustafa
    ;
    Suraya Md Nasir
    ;
    Mohd Fauzi Harun
    ;
    Laith H. Jasim
    The evolution of marketing through digital means has been greatly influenced by the emergence of virtual influencers on social media and the incorporation of immersive technologies such as AR, VR, and XR. This study examines the development of virtual influencers as an emerging frontier in consumer interaction, highlighting their unique benefits compared to traditional influencers and their potential for tailored and managed brand promotion. Digital avatars provide a unique method to engage audiences, but they also present ethical dilemmas and require scientific evidence to confirm their efficacy. The methodology includes a comprehensive literature study on many aspects of digital marketing, such as the influence of immersive technologies on brand storytelling and engagement, and the significance of gamification and video-based learning in improving user interaction from 2013 to 2024. The analysis highlights a significant deficiency in existing research about the enduring impacts of these technologies on brand loyalty and consumer behaviour. The digital age requires creative marketing methods that are ethical and align with consumers' desire for authenticity and engagement. Future studies should further investigate these aspects to ensure that virtual influencers and immersive technology are used properly to cultivate significant brand connections.
      8  3
  • Publication
    Multi-classification of freshness from leftover-cooked food in Malaysian foods using machine learning
    (AIP Publishing, 2023)
    Wan Nur Fadhlina Syamimi Wan Azman
    ;
    Ku Nurul Fazira Ku Azir
    ;
    Amiza Amir
    ;
    Hamimah Ujir
    The objective of this study is to implement machine learning (ML) to identify and classify the level of contamination in leftover cooked foods based on its aroma. An evaluation on the smell profiles using as a model local Malaysian lunch or evening foods that have always been stored as leftover cooked food is done in this study. To capture the data, a simple e-nose application is built and affixed to the food containers, which will accommodate four types of sensors sensitive to different gases and is programmed using the Arduino platform. To determine the aroma categorization of leftover Malaysian cuisine, samples are examined using RStudio. The results in this study demonstrated satisfactory performances by k-Nearest Neighbours (k-NN), Support Vector Machines (SVM), and Random Forest (RF) with accuracies ranging from 87.5% to 100% using the oversampling and undersampling techniques. Unfortunately, Linear Discriminant Analysis (LDA) gave poor performances (19.64% – 58.93%) in classifying the contamination level of the samples. Hence, the results obtained gave an indication that the electronic nose presented in this research was a promising for classification of contamination level for leftover cooked foods, allowing food to be better anticipated as to whether it is still edible or not.
      1  8
  • Publication
    Smart pandemic-safe premise system
    ( 2023)
    Yasmin Mohd Yacob
    ;
    Azmi Mohd Nasarudin
    ;
    Priyatharishine Renganathan
    ;
    Muhamad Zainularifin Zainal
    ;
    Nurhazwani Mohd Kamal
    ;
    Harsa Amylia Mat Sakim
    Ensuring hygiene, limiting number of people in a closed space and adhere to normal body temperature are concerns to be living in the COVID-19 pandemic era. To date, not only software but also hardware-based works have been developed to address the concerning issue. Nevertheless, most of the works focused in one concerned issue and not many attempted to integrate into the same device. This work integrated three parts which are temperature display, automatic sanitizer dispenser, and entrance and exit with limit counter in the same device for a premise by incorporating the use of temperature, ultrasonic and infrared (IR) sensors on top of Arduino microcontroller board. The developed device buzzes when body temperature exceed 38 degree Celcius, counts people in and out in a premise and allows 20 people to enter the premises at one time and releases hand-sanitizer when hand is detected. The developed work helps to maintain health and preventing disease, especially through cleanliness and limiting number of people to promote physical distancing in a premise. On top of that, automatic sanitizer dispenser may reduce environmental pollution via reduction of sanitizer bottles. This system also reduces dependability to man-power and concurrently reduces the risk of infection to workers.
      5  2
  • Publication
    Unauthorized parking notification system
    ( 2023)
    Loo Ka Chun
    ;
    Iszaidy Ismail
    ;
    Ruzelita Ngadiran
    ;
    Md Mostafijur Rahman
    This paper focuses on development of an parking notification system on Raspberry Pi. In parking system, Automatic License Plate Recognition (ALPR) is becoming an increasingly practical security solution, while security and possession are the most discussed issues nowadays. However, similar systems on the market currently only focus on security, which only provides authorization at carpark entrance to prevent unauthorized personnel from entering the compound. There may be an infringement of ownership happens, where a parking lot owned by a person occupied by irresponsible car owner. Besides, although there are subscription-based services available for ALPR, but most of them are expensive due to their deeply customized high accuracy, and may be unaffordable to everyone. Most carpark systems also lack of the ability to send notification to lot owner with unauthorized vehicle information. Therefore, this study is aimed to design a system that able to check authorization at both entrance site and parking lot site, to implement an open-source solution to the system, and to equip notification ability to the system. In this study, license plate detection/localization was implemented to get the Region of Interest (ROI) from input images. License plate character recognition was then executed to perform authorization checking with database. After the authorization checking is completed, the result with relevant information will be sent as notification to parking lot owners. The performance of plate detection algorithms will be evaluated based on their accuracy. The plate detection algorithm with Haar Cascade Classifier had produced a high segmentation accuracy, which is 96.875%. Meanwhile, for the overall system accuracy (also known as OCR/plate recognition accuracy) had achieved 71.875% for Malaysian License Plate. In conclusion, a system with ALPR and notification abilities that emphasis on both security and possession is successfully developed.
      4
  • Publication
    Unveiling The Digital Realm: A Systematic Review on Regulating Blockchain for Online Breast Milk Services
    ( 2023)
    Amirah ‘Aisha Badrul Hisham
    ;
    Nor Ashikin Mohamed Yusof
    ;
    Zilal Shaari
    ;
    Hafiza Abas
    ;
    Shazana Mustapa
    ;
    Syakirah Zahar
    ;
    Wan Rusydiah Salehudin
    ;
    Syamilah Saliman
    ;
    Muntather Almusawi
    ;
    Wan Azani Wan Mustafa
    ;
    Farah Norwahidah Mohd Yunus
    The traditional or modern practice of sharing breastmilk raises concern regarding security, traceability, safety, and quality assurance. This systematic review explores the application of blockchain technology in addressing these issues, aiming to enhance the security and efficiency of breastmilk sharing in healthcare settings. This systematic review delves into the burgeoning intersection of blockchain technology and online breast milk services, exploring the multifaceted landscape encompassing healthcare data management, privacy, safety, security, quality assurance, governance, interoperability, and legal and regulatory challenges. Employing a comprehensive research methodology, we conducted an extensive review of scholarly articles of Scopus, Web of Science and PubMed databases using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique. The final main data is n = 26 and analyzed using synthesis approach. Four main themes were generated: (i) blockchain for healthcare data management, (ii) privacy of data, safety, security, and quality assurance for donated breastmilk, (iii) governance and interoperability, (iv) legal and regulatory challenges. This systematic review highlighted the vast potential, capabilities, opportunities, and challenges of using blockchain for a noble cause of sharing or donating breastmilk. The inputs are useful for policymakers, healthcare professionals, and researchers in fostering an introducing better policy, policy interventions and legal mechanisms for a better, secure, transparent, and ethical digital ecosystem in maternal and child healthcare.
      4  15
  • Publication
    Women's Health Diary: Tracker System for Menstruation, Intermenstrual, Ovulation, and Postnatal Bleeding Using Rules-Based Technique
    ( 2023)
    Nursyuhada binti Abdullah
    ;
    Azwa bin Abdul Aziz
    ;
    Wan Azani Wan Mustafa
    ;
    Muntather Almusawi
    ;
    Abbas Hameed Abdul Hussein
    Menstruation, a natural physiological process in women, entails regular vaginal bleeding as part of the monthly menstrual cycle. While existing systems facilitate menstrual cycle tracking, they often lack the capability to differentiate between various types of vaginal bleeding, such as menstruation (haid), intermenstrual bleeding (istihadah), or postnatal bleeding (nifas). To address this limitation, the Women's Health Diary: Tracker System for Menstruation, Intermenstrual, Ovulation, and Postnatal Bleeding) was developed using a rule-based technique. This system employs an iterative method comprising eight phases: initial planning, planning, requirements, analysis and design, implementation, testing, evaluation, and deployment. By ensuring the optimal development and performance of this system, women can effectively manage their menstrual blood, a vital aspect of their overall health. Moreover, this system holds particular significance for every women, as it facilitates tracking and identification of regular and irregular cycles, enabling them to uphold the legitimacy of their worship.
      10  1