Charoenporn, Pattama
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Item type:Publication, Automatical IVUS Image Segmentation and Detection Using BLOB Analysis(2022-01-01) ;Onhirun, NippitchIn this research, experiments were conducted on the problem of image analysis in atherosclerotic disease. The study was conducted from intravascular ultrasound images that have been taken inside the blood vessels from patients with arterial wall hardening or stenosis. These images are used by experts or specialists to analyze the problem of the disease. There may be some interference from shadows or elements that occurred while taking the image that may cause the incomplete image. We propose an applied method by using computer techniques that help to analyze the components within the image to find the area of interest by enhancement image. Then, the pixel levels are analyzed and classified to divide the background from the image. Next, the morphological operation is used to readjust image properties, and blob analysis is used to identify the region of interesting pixel values. In the final process, Connected Component Analysis (CCA) was used to detect media-adventitia and lumen boundary area The efficacy of segment results was measured by comparing with the expert to measure performance as (media-adventitia, lumen) the Jaccard Index = (0.9570, 0.96695), Hausdorff Distance = (0.5259, 0.6304), Percentage Area Distance = (0.0382, 0.03395) IVUS dataset was used from Simone Balocco, Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing web serviceswith MVC for classification rice system(2019-01-10)In this paper, we describe the design of web service with modelview-controller for implement the system of classify type of rice. This idea using LDA and SVM to estimate a rice surface area, and then we present this idea by create web service architecture and present prototype used in mobile. The process of making a model are choosing the literature of rice attribute compare with a hundred pieces of rice in different sizes and type, and then analyzed all of example by create web service that implement under spring MVC idea. In testing method of technique, we create prototype of web service and test function by user. The result shows that the model gives accurate result with very small errors and is also flexible to any change in all process. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An IoT architecture for smart rice monitoring(2019-10-08)This paper presents an architectural design process for the IoT rice system which derives approach from the finding model. This model design from three-tier architecture, agile methodology and IoT architecture model. We receive input data from interview 400 farmers who crop rice live in the north-east of Thailand. Then we compare 10 models from 5 pieces of literature to design a conceptual model. The conceptual model present 2 models, it composes of web service design from service-oriented architecture and the other model present web application design from HTTP, JavaScript. The results show that web service is the best way to implement IoT rice system because the concept of service-oriented architecture is supported the relationship between communication protocol over the network. After that, we create a conceptual model, that follows from 400 farmers to present to those who want to implement the real application. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, UX-Based Design of A Mobile Application for Thai Seniors(2020-06-05) ;Aranyanak, InthrapornMobile technology has become a vital part of our lives. There is a large number of studies to develop mobile applications. Nevertheless, some of them were not designed for the elderly to use easily. By 2021, Thailand will become a full-fledged ageing society. Workers aged more than 45 will be at greater risk of losing their job because of economic recession or the growth of AI technology. This paper demonstrates the usability testing of mobile job applications comparing three popular job apps used in Thailand. An analytical tool for prototypes and the System Usability Scale (SUS) were used to collect and analyse data. The main usability metrics in this study are effectiveness, efficiency, and satisfaction. The results show that using ambiguous labels, icons with multiple meanings, and using a "hamburger" icon can cause Thai senior users to become disoriented and affect their performances. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Reservoir inflow forecasting using ID3 and C4.5 decision tree model(2017-10-26)Decision tree model is one of data mining method for builds classification models in the form of a tree structure. These methods are produced various ways of splitting a data set into branch like segments that call nodes. Today, forecasting method is very importance for every side especially agriculture. Because some farmers who want to predict their crops for each semester. This paper describes about method for forecast daily inflow to reservoir in order to present new method for predication. We prepare 1000 data sets for analysis with reservoir prototype. And then used training set testing ID3 and C4.5 algorithms for choose the best algorithm to create reservoir prototype. The results show that ID3 algorithm is the best way for forecasting data then we will create the reservoir prototype in order to forecasting water pass reservoir, and can indicate level of water in very severe, severe, or less. After that we bring reservoir prototype to test by users, and all of user test reservoir prototype and suggest that 67% satisfy in learning ability, 80% moderately satisfied in control. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Comparative Study of NLP-Based Models: Popularity Trends in Pop Mart Comments(2026-05-04); ;Poonsawat, KititinunIn today's digital era, where consumer sentiment significantly influences brand perception, understanding customer emotions has become a strategic priority for companies like POP MART. Among its iconic collectibles, Labubu stands out as a symbol of the brand's global appeal, gaining tremendous popularity through the viral influence of Lisa from BLACKPINK, who showcased her Labubu collection on social media. This moment sparked a surge in interest, especially in Thailand, where Labubu achieved over 365,000 mentions in a single month, driven by its appeal to young, trend-conscious consumers. This study, Sentiment Analysis of LABUBU Popularity Trends: A Study of POPMART Comments Using NLP Techniques, investigates customer perceptions and emotions toward Labubu by employing advanced transformer-based NLP models - WangchanBERTa, RoBERTa, and XLM-R. By analyzing Thai-specific and multilingual datasets collected from social media platforms, this research evaluates the models' performance in sentiment classification. The analysis highlights WangchanBERTa's superior performance on Thai-specific datasets, achieving the highest F1-score of 87.51%. XLM-R demonstrated robust multilingual capabilities with an F1-score of 84.65%, while RoBERTa excelled in English sentiment analysis with an F1-score of 82.83%. These findings emphasize the importance of leveraging both language-specific and multilingual models to address cultural and linguistic nuances effectively. Sentiment patterns reveal positive comments highlighting emotional connections to Labubu, neutral sentiments about logistical inquiries, and negative feedback on technical and availability issues. These insights guide strategies to enhance marketing, boost customer engagement, and address operational challenges. This study advances NLP applications in sentiment analysis, offering POP MART data-driven insights to refine global and regional strategies while underscoring the value of multilingual transformer models in analyzing diverse consumer feedback. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Development of the Wireframes Design for Usability under the ISO 9241-151 Standard(2020-06-05)This research aims to design a wireframe according to the usability test and the ISO 9241-151 standard. The procedure starts with collecting data from 400 website users with questions under the ISO 9241-151 standard and collecting data from interviews with Design Thinking technique from 20 web designers with evaluation interviews based on the System Usability Scale from 3 websites chosen as the sample space for data collection; namely sanook.com, kapook.com and dex-d.com. After analyzing the data from the sample group, a wireframe and site map is then built. Then, 5 experts will test the wireframe design based on the hypothesis created by the research. The results show that analysis of sample sites usage has a significant statistical relationship with wireframe design at level 0.05. With the System Usability Scale, wireframes and site maps have been designed to be assessed by 5 design specialists. Results appear that Header and Content design have been rated as Good by 3 specialists and Satisfactory by 2. Navigation and Information search was rated as Very Good by 2 and Good by 3. The content display has been rated as Very Good by 2 and Good by 3. Other topics have been rated as Very Good by 3 and Good by 2. Compiling those results conclude that this wireframe design is efficiently operational under the ISO 9241-151 standard, allowing design enthusiasts to collect information from this research to guide their future site designs. In the future, there should be some additional of other types of website design to cover more of the website designers' needs. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparison of algorithms for searching shortest path and implementations for the searching routing system via web services(2018-01-01)The searching routing system is part of logistics systems. There are many algorithms to solve the detail of confuse routing, e.g., routing of transport networks or order picking areas. The numbers of relevant nodes in routing have more than 10,000 nodes. Then many algorithms should be finding the shortest path from start node to destination. In this paper, we choose 3 algorithms compose of Floyd-Warshall's Algorithm, Dijkstra's Algorithm and saving algorithm with google map api to compare the best algorithm to searching shortest path and then choose the best algorithm to implement searching routing system via web services. For the results, Floyd-Warshall's Algorithm and Dijkstra's Algorithm give same results but the results from saving algorithm with google map api is the best algorithm for searching and manage the transport route to the point of destination especially in the real time. Then, this research will use saving algorithm for solving the ordering of transportation and use Google maps API for set direction. Google maps API can advise the shortest path and mark start node, end node for user. Saving algorithm find the best route and calculate the result from equation. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Visualizing Political Communication Trends across Generations on X (Twitter): Insights Through Topic Modeling and Word Clouds(2024-01-01) ;Udomwisanpat, Prinwat ;Jitkajornwanich, Kulsawasd ;Kraishan, Obada ;Srestasatheirn, PanuLawawirojwong, SiamThis study examines the interests and significance of words on Twitter (or X) across different generational groups: Baby Boomers, Generation X, Generation Y, and Generation Z. Using Topic Modeling with Latent Dirichlet Allocation (LDA), the research explores relationships and word importance within each group. As the results of topic modeling are not always easy to interpret, we used word cloud visualization to help make sense of the results for each generation. The findings reveal distinct patterns: Baby Boomers frequently mention print media, news websites, and prominent Thai political figures; Generation X emphasizes individuals and local political issues in Bangkok; Generation Y discusses political and social events; and Generation Z uniquely questions political and social activities. This research methodology is applicable across languages and tasks, offering insights into generational behaviors and interests. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Smart logistic system by IOT technology(2018-01-06)Today, Logistics system is very important for many industries and business solutions to solve problems about transportation and fix all of the expense. Many applications for logistics system integrate in many systems but there have price so much and sometime not used in some requirement, therefore this research presents a new idea for solving some problems by using the concept about the Internet of things technology. The logistics system model is developed and presents some designs in this paper that based on IOT technology. The case study of land logistics used to implement the system. A model is developed for the user access online interactive and then we will evaluate a model by results of satisfy create by users.
