KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Subject: search.filters.subject.application

Search Results

Now showing 1 - 5 of 5
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Developing a Design Guideline for a User-Friendly Home Energy-Saving Application That Aligns with User-Centered Design (UCD) Principles
    (2025-01-01)
    Tongsubanan, Sarunporn
    ;
    Kasemsarn, Kittichai
    Regarding issues with the majority of home energy-saving applications, the information is often too difficult for users to understand, and they struggle to comprehend communication via graphics or images displayed on the application’s screen. Furthermore, little is known about how users of home energy-saving applications behave. Therefore, this research aims to develop and evaluate a user-friendly design guideline for a home energy-saving application that applies four stages of User-Centered Design (UCD) processes. To identify significant issues and preliminary solutions, this research employed two rounds of co-creation activities involving nine experts and nine non-experts. Subsequently, an application prototype encompassing settings, about, home data, home assessment, and assessment summary was developed. The prototype underwent evaluation through an online questionnaire with 160 participants from four user groups, spanning expert and non-expert age groups. As a results from all four factors, the application received a mean score = 4.35 (good) from both non-experts and experts. This demonstrates that the prototype adopted with the guideline performed well in terms of User Experience, User Interface and User-Centered Design. This research provides developers and stakeholders with valuable guidelines to create applications or programs that are more efficient and user-friendly. This guideline is applicable to a wide range of sectors (eg, residential homes, workplaces, and educational institutions) and various domains (eg, Internet of Things (IoT), Home Energy Management Systems (HEMS), mobile applications, AI-Assisted in IoT-based Smart Microgrids). This would lead to the creation of applications that are easy for users to navigate and presentations that are impactful, ultimately helping to decrease energy usage and promote a more sustainable environment.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Swarm Intelligence Algorithms and Their Applications
    (2024-09-01)
    Tansui, Daranat
    ;
    Thammano, Arit
    Background and objectives: Algorithms inspired by the behavior of living organisms have been developed to apply principles from nature to solve problems in various aspects of daily life, e.g., in science, medicine, engineering, technology, and business management. The developed algorithms follow two main ideas. First, evolutionary algorithms use Darwin's principle of natural selection to choose the most suitable organisms in an unforgiving environment. Second, Swarm Intelligence Algorithms mimic the collaborative behavior of groups of living things, such as flocks of birds or schools of fish. The applications of these algorithms include medical data analysis for disease diagnosis, resource allocation planning in construction projects, traffic system design for improved safety, genetic data analysis to find relationships between genes and diseases, and business data analysis to predict customer buying behavior. These algorithms help increase efficiency, accuracy, and sustainability in solving various problems by applying principles inspired by nature. This article aims to explain working principles and performance, the advantages, disadvantages, and applications of Swarm Intelligence algorithms. Methodology: The main research steps were the following: 1. Studying and collecting research documents on 10 algorithms: Ant Colony Optimization, Artificial Bee Colony Algorithm, Bat Algorithm, Particle Swarm Optimization, Flower Pollination Algorithm, Weed Optimization Algorithm, Bee Colony Optimization, Cuckoo Search Algorithm, Bird Flocking Algorithm, and Chicken Swarm Optimization. 2. Analysis of working principles and efficiency of 10 algorithms. 3. Analyzing the advantages and disadvantages of the 10 algorithms. 4. Summarizing the applications of the 10 algorithms. 5. Research results and conclusions. Key findings: This article summarizes the applications of algorithms inspired by the behavior of living organisms to solve various daily life problems in fields such as science, medicine, engineering, technology, and business management. It also aims to explain the advantages and disadvantages of these algorithms in solving complex problems in various aspects of daily life, especially to efficiently achieve sustainable development in society and business. Some applications are such as the following: using intelligent algorithms in medical data analysis for disease diagnosis and environmental management; applying algorithms to analyze medical images for efficient diagnosis and treatment; utilizing algorithms in engineering and technology for infrastructure planning and design to enhance safety and operational efficiency; and using algorithms in business management for data analysis to predict customer behavior and marketing strategies. Implications: Swarm Intelligence algorithms, inspired by the collective behavior of living organisms, are valuable across various fields. In science, they can be utilized to locate underground oil or mineral resources through a network of sensors that collaborate to enhance efficiency in resource detection. In medicine, they aid in analyzing medical images for disease diagnosis and in complex surgeries by directing the movement of surgical robots, emulating precise, cooperative animal actions. In engineering, swarm algorithms improve intelligent traffic systems, simulating vehicle flows to alleviate congestion and plan safer routes. For technology, swarm-inspired collaborative robots excel in manufacturing, coordinating seamlessly with one another in intricate production lines. In agriculture, they are employed for managing smart farms and controlling drones for pest management. In business, swarm algorithms assist in analyzing consumer behavior by examining purchasing patterns, enabling accurate forecasting and adjustments to marketing strategies to better meet customer needs. Conclusions: This review found that Swarm Intelligence algorithms were that the 10 swarm intelligence algorithms have different working principles and performance when applied in various tasks, along with their own advantages and disadvantages and limitations in solving problems, with some algorithms being more effective in certain areas. This article also concludes that some types of algorithms can solve complex problems and can be applied in 5 different areas comprehensively. This review may be beneficial to algorithm developers and users alike.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    The Intention to Use Innovative Compliance Application for Thai-Listed Companies
    (2024-09-20)
    Chalermnon, Pattarasupang
    ;
    Vuthisopon, Sujira
    ;
    Saengnoree, Amnuay
    ;
    Deebhijarn, Samart
    This study explores the intention to use innovative compliance applications among Thai-listed companies, focusing on a novel technology introduced to companies listed on the Stock Exchange of Thailand (SET). The research employs the Technology Acceptance Model (TAM) as its theoretical foundation, utilizing a quantitative approach. Data from 360 capital market law compliance officers in Thai public companies listed on the SET was analyzed using structural equation modeling. The study identifies four key factors impacting user satisfaction and intention to use the application: perceived ease of use, perceived usefulness, trust, and innovation quality. Results reveal significant relationships between innovation quality, user satisfaction, trust, and the intention to use the application. Findings demonstrate the connection between TAM variables and technology adoption in the legal sector, particularly for capital market law compliance officers. Innovation quality, user satisfaction, and trust emerge as the most influential factors, in that order, affecting the intention to use the application. This research contributes to understanding user perceptions and intentions regarding compliance software, potentially guiding future developments in regulatory technology for Thai-listed companies.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Modern Manufacturing for Alloy Wheel Defect Detection using Image Processing and Application
    (2024-01-01)
    Archevapanich, Tuaniai
    ;
    Krungseanmuang, Woranidtha
    ;
    Chaowalittawin, Vasutorn
    ;
    Sathaporn, Posathip
    ;
    Chaowalittawin, Punyisa
    This paper presents an innovative approach to identifying defects in alloy wheel production by integrating image processing techniques with a mobile application platform. The system receives X-ray alloy images from the factory via mobile phone, processes them using image processing techniques to enhance clarity and readiness for defect detection, and then transmits the processed images to a Django framework via a uniform resource locator (URL). Subsequently, the system detects defects in the images, encodes them in Base64 format, and sends them to the mobile application through an API (Application Program Interface) for display on the user interface. This well-designed system architecture offers manufacturers a comprehensive solution to ensure product quality, reduce costs, and enhance customer satisfaction.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Sustainability at Home: The Development of an Efficient Framework for Home Energy-Saving Applications
    (2023-08-01)
    Tongsubanan, Sarunporn
    ;
    Kasemsarn, Kittichai
    Energy consumption is increasing due to the rise in the world population, industrialization, and urbanization, particularly in the residential sector, attributed to a lack of user-friendly tools. This study seeks to create a research framework and wireframe for home energy-saving applications. A systematic literature review (SLR) was conducted using the VOSviewer software version 1.6.18 tool to pinpoint the research problems. Three key research problems were identified: Inadequate information presentation for both experts and non-experts, insufficient consideration for middle-aged and elderly users, and difficulties in interpreting graphics or images on the application’s display screens. This qualitative research involved three rounds of co-creation activities with nine experts and nine non-experts to identify major problems and preliminary solutions. As a result, two key issues were addressed from the qualitative data: The problem of area calculation, resolved by simplifying data entry processes, and the issue of material selection within homes, improved by incorporating illustrative images with concise, easily understandable descriptions. The outcome of this research is a framework and wireframe that lays the groundwork for developing user-friendly applications that promote sustainable behaviors in residential energy usage. This research contributes valuable guidelines for developers and stakeholders to create more efficient and user-friendly applications, thus promoting environmental action and sustainable practices in residential settings.