KMITL

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

Browse

Search Results

Now showing 1 - 10 of 41

Some of the metrics are blocked by your
consent settings
A smartwatch-based holistic health management model for elderly care in Thailand: Development and pilot feasibility evaluation study
(2027-01-01)
Phromsen, Methee
;
Sukkamart, Aukkapong
;
Siripongdee, Surapong
Thailand's rapidly aging population presents major challenges for sustainable healthcare. Smartwatch-based gerontechnology offers potential for holistic health management (HHM), but culturally adapted models for Thai elderly care are lacking. This pilot study aimed to develop a smartwatch-based HHM model for Thai elderly care and to explore caregivers' perceived acceptability and feasibility. A four-component model (health data management, integrated physical–mental–social monitoring, healthcare service linkage, and senior-friendly design) was developed based on a literature review and the Diffusion of Innovations theory. Forty caregivers and healthcare providers from Chiang Rai Province, Thailand, were purposively sampled. They completed a validated 16-item questionnaire assessing four innovation attributes: comparative advantage, compatibility, trialability, and observability. Descriptive statistics and exploratory group comparisons (t-tests, ANOVA) were used for analysis. All four innovation attributes received high perceived effectiveness ratings (overall mean = 4.75/5.00, SD = 0.14). Compatibility scored the highest (mean = 4.80, SD = 0.25). No significant differences were found by gender, age, or occupation (all p > .05), suggesting broad stakeholder acceptability across diverse caregiver roles. The proposed model was rated as highly acceptable by Thai caregivers. These preliminary findings provide a basis for larger-scale implementation research that examines clinical outcomes, elderly user experiences, and real-world effectiveness. Key limitations include the small purposive sample, the lack of direct input from elderly end users, and the absence of hands-on device trials. Elderly end-users—the ultimate beneficiaries—did not provide direct input. Their technology acceptance, digital literacy, and actual usage patterns may differ substantially from caregiver perceptions. User-centered design requires direct elderly involvement, which future studies must prioritize.
Some of the metrics are blocked by your
consent settings
Advanced conceptual design for the regasification process to minimize carbon emissions, water use, and reduce operating costs for AI data centers, airport hubs, smart cities and initial zero-emission LNG receiving terminals
(2026-06-01)
Sermsuk, Maytungkorn
;
Sukjai, Yanin
;
Rajoo, Srithar
;
Kiatkittipong, Kunlanan
;
Wiboonrat, Montri
Achieving net-zero greenhouse gas emissions by 2050 requires improving energy efficiency in transitional fuels such as liquefied natural gas (LNG). In 2023, global LNG imports reached 401.5 MTPA; however, most of the 180 LNG receiving terminals worldwide still discharge large amounts of recoverable cold energy into the ocean. Meanwhile, the rapid growth of artificial intelligence (AI) data centers is driving unprecedented electricity demand, with projected global electricity consumption exceeding 3000 TWh by 2030. This study proposes an advanced LNG regasification system integrating Intermediate Fluid Vaporization (IFV), Rankine Cycle (RC), and Direct Expansion Cycle (DEC) to recover both temperature and pressure exergy. The system is evaluated for LNG terminals with capacities of 10–30 MTPA under pressure levels of 70, 30, and 6 bar across eight operational models and two infrastructure configurations. Results indicate that terminal electricity imports are reduced by 52–78 % compared with conventional open rack vaporizer (ORV) systems. Net electricity generation ranges from 12.09 to 197.91 MW, while chilled water cooling capacity reaches 272.72–1075.44 MW. Cooling electricity demand is reduced by approximately 79 %, lowering data center Power Usage Effectiveness (PUE) from 2.00 to 1.36. Water Usage Effectiveness (WUE) decreases from 1.9 to 3.0 to approximately 0.3 L/kWh, achieving an 89–93 % reduction in cooling-related water use. At 30 MTPA, carbon emissions are reduced by up to 2.99 million tons annually, with economic savings of USD 119.96–603.15 million per year and a maximum IRR of 37.7 %. These results demonstrate the significant potential of LNG cold energy integration for near-zero-emission terminal operation and sustainable data center cooling.
Some of the metrics are blocked by your
consent settings
Feasibility of integrating small-scale liquefied natural gas (LNG) terminal with combined cycle power plant to reduce carbon emissions and costs for data centers
(2025-06-01)
Sermsuk, Maytungkorn
;
Sukjai, Yanin
;
Rajoo, Srithar
;
Kiatkittipong, Kunlanan
;
Wiboonrat, Montri
Global data centers are projected to consume 2–3% of global electricity and contribute 8% of carbon emissions by 2030, driven by the rising demand for 5G. In Southeast Asia's tropical climate, cooling data centers presents a challenge, as power plant efficiency drops by 10–20% during summer, when ambient temperatures reach 35–40°C. This study introduces a novel system that integrates a small-scale liquefied natural gas (LNG) receiving terminal with a combined cycle power plant (CCPP) and a data center, designed specifically for tropical climates. The system harnesses LNG cold energy through three configurations: intermediate fluid vaporizer (IFV), Rankine cycle (RC), and direct expansion cycle (DEC), to optimize electricity generation and chilled water production. By reducing the gas turbine inlet temperature from 35°C to 22°C, the system boosts power output by 12.22% and thermal efficiency by 3.84%. Nighttime cooling supports a 3,048-rack data center, resulting in annual savings of $5.50 million and a reduction of 20,304 tons of CO₂ emissions. Switching to gas power plants during summer further increases savings to $7.75 million and cuts emissions by 29,104 tons. An economic analysis shows a payback period of 2.30 years and an internal rate of return (IRR) of 69%. This integrated approach offers an efficient, cost-effective, and environmentally sustainable solution for power generation and data center operation in hot climates.
Some of the metrics are blocked by your
consent settings
Multi-phase structure electrospun CNF@Ag/Mn/Bi/Fe composite nanofiber enhanced supercapacitor behavior
(2025-02-15)
Sinprachim, Tanayt
;
Klompong, Narit
;
Chanlek, Narong
;
Kidkhunthod, Pinit
;
Maensiri, Santi
This study presents the development of carbon-based multiphase metal oxide nanocomposites (CNF@MO<inf>x</inf>; M = Ag, Mn, Bi, and Fe) incorporating silver, manganese, bismuth, and iron nanoparticles within polyacrylonitrile (PAN)-derived carbon nanofibers. These nanocomposites were fabricated via the electrospinning technique with metal oxide concentrations of 10, 20, and 40 %w. This was followed by annealing in an argon atmosphere. The resulting nanofibers exhibited diameters ranging from 559 to 830 nm, with embedded nanoparticles measuring from 9 to 21 nm. Comprehensive characterization revealed that the nanofibers possessed uniform morphology, high porosity, and robust thermal stability. X-ray photoelectron spectroscopy (XPS) and X-ray absorption spectroscopy (XAS) confirmed the valence states of the metal oxides (Ag⁰, Bi³⁺, Mn²⁺, Mn³⁺, Fe²⁺, and Fe³⁺), which are integral to redox reactions and charge storage mechanisms. Among the fabricated composites, CNF@Ag/Mn/Bi/Fe-20 demonstrated the best electrochemical performance, achieving a specific capacitance of 156 F g−1 at a scan rate of 2 mV s−1 and outstanding cycling stability with a capacity retention of over 96 % after 1400 charge-discharge cycles. The synergistic combination of double-layer capacitance and pseudocapacitance mechanisms in these nanofibers represents a significant improvement over conventional electrode material. This study highlights CNF@Ag/Mn/Bi/Fe nanocomposites as highly promising candidates for advanced energy storage applications, particularly in supercapacitor technologies.
Some of the metrics are blocked by your
consent settings
Synthesis of electronically tunable multifunction biquad filter using voltage differencing differential input buffered amplifiers
(2025-02-01)
Bunrueangsak, Sirigul
;
Jaikla, Winai
;
Chaichana, Amornchai
;
Supavarasuwat, Piya
;
Siripongdee, Surapong
Biquad filters are commonly used in analog circuits for various purposes in signal processing and communication applications. We synthesize an analog active biquad filter with five types of voltage-mode filtering functions. The filter is synthesized using a parallel passive resistor-inductor-capacitor (RLC) network and unity-gain voltage differencing amplifier. A voltage differencing differential input buffered amplifier (VD-DIBA) is the main active component, and the biquad filter has a three-input single-output (TISO) topology. By replacing the passive inductor and resistor with VD-DIBA-based inductance and resistance simulators with a subtractor, the TISO voltage-mode versatile filter is obtained from two VD-DIBAs, one resistor, and two capacitors connected to the ground. The proposed filter can provide five types of voltage-mode filtering functions: inverting bandpass and lowpass responses as well as noninverting band-stop, high-pass, and all-pass responses. The all-pass filter requires no additional active components. The three input voltage nodes have high impedance, and a low-impedance output voltage node facilitates cascade connections without using additional voltage buffers. In addition, the natural frequency and quality factor can be electronically tuned. The quality factor is controlled without disturbing the passband gain and natural frequency. The proposed filter is simulated and verified experimentally in the Personal Simulation Program with Integrated Circuit Emphasis (PSPICE) and through laboratory tests employing VD-DIBAs implemented using commercially available components.
Some of the metrics are blocked by your
consent settings
Spiritual Mutelu marketing: enhancing value creation in Buddhist tourism in Phar Na Khon Si Ayutthaya, Thailand
(2025-01-01)
Chotpittayanon, Natnicha
;
Jintalikhitdee, Vilasinee
;
Srikeaw, Paranee
;
Phasuk, Nutcha
;
Siripongdee, Surapong
Thailand holds considerable potential in Buddhist tourism; however, its marketing strategies remain fragmented and inadequately aligned with the spiritual and cultural expectations of modern tourists. This study aimed (1) to assess the levels of Mutelu marketing activities, strategies and perceived marketing value; (2) to examine the factors influencing value enhancement and (3) to propose strategic guidelines for Mutelu-based Buddhist tourism in Phra Nakhon Si Ayutthaya. A mixed-methods explanatory sequential design was employed. Quantitative data from 420 Thai tourists were analyzed using structural equation modeling (SEM). Results revealed that all six Mutelu activity types significantly influenced perceived marketing value indirectly through seven strategic dimensions. The model showed good fit [GFI = 0.981, standardized root mean square residual (SRMR) = 0.047, CFI = 0.893], with strong predictive power (R2 = 0.664, 0.770; f2 = 0.972, 1.978). PLS-SEM validation also confirmed fit (SRMR, squared Euclidean distance, geodesic distance < 0.08). Qualitative interviews with 20 key informants—including monks, tourism operators and officials—highlighted the need to integrate Buddhist teachings and emotional experiences into Mutelu activities. Creative formats and respectful service design emerged as essential for deepening spiritual engagement. The findings support the conceptualization of ‘Spiritual Mutelu Marketing’, a model that harmonizes belief-based practices with strategic marketing to deliver sustainable cultural and spiritual value in Buddhist tourism.
Some of the metrics are blocked by your
consent settings
System-Social Strategy for Trust Building in Mobile Banking Context
(2024-05-01)
Tun, Phyo Min
;
Nantha, Cherisa
;
Srivallop, Atikom
;
Siripongdee, Surapong
This paper aims to examine the roles of system and social perspectives for trust building in the mobile banking context and the moderating effects of demographic groups on direct effects on trust. The study investigates system perspectives (system quality and system usefulness), social perspectives (social influence and word-of-mouth), and moderators (gender, age, and education) as an exploratory study. This study employed deductive reasoning quantitative research approach by using 294 datasets. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to calculate the factors' validity and reliability. The Structural Equation Modeling (SEM) technique was employed to estimate direct effects, indirect effects, and moderator effects. The findings reveal that system quality, system usefulness, and word-of-mouth affect trust, while social influence has an insignificant effect on trust. Besides, system quality has a significant effect on system usefulness, and social influence has a significant effect on word-of-mouth, respectively. Also, education level is significantly moderating the direct effect of word-of-mouth and trust. This research extends the understanding of the system and social perspectives that influence trust and might be a barrier to mobile banking adoption in Myanmar. Also, the findings of this research will assist private banks in recognizing the behavior patterns of customers so that they can create a proper system-social strategy to boost the confidence of customers about mobile banking and fulfill the knowledge gap regarding system and social aspects.
Some of the metrics are blocked by your
consent settings
Enhancing ICT Literacy and Achievement: A TPACK-Based Blended Learning Model for Thai Business Administration Students
(2024-05-01)
Nantha, Cherisa
;
Siripongdee, Kobchai
;
Siripongdee, Surapong
;
Pimdee, Paitoon
;
Kantathanawat, Thiyaporn
The COVID-19 pandemic has heightened the need for 21st century skills, particularly computer and ICT literacy (CICT) in Thailand. This study aimed to develop a TPACK (Technological Pedagogical and Content Knowledge)-based blended learning model (BLM) to enhance CICT skills and academic performance among 179 Business Administration (BA) undergraduates in the 2022 academic year Computer and Information Applications course. Research instruments were designed and evaluated by experts. Over 18 weeks, qualitative and quantitative data were collected, with the qualitative data undergoing content analysis. Descriptive statistics were used to analyze quantitative data, comparing pretests, post-tests, and 2-week retests using a repeated measure ANOVA. One-sample t-tests were used to assess the model’s impact on CICT skills. The results showed a significant score improvement between tests, with the highest mean being seen in the 2-week retest. The BA-TPACK model significantly enhanced CICT skills, exceeding 80%. The students expressed high satisfaction, with the BA-TPACK model effectively enhancing CICT skills and academic achievement, recommending its integration into future computer and information courses. This study’s contribution lies in addressing the pressing need for CICT skills in the ‘new normal’. By developing and implementing a BLM grounded in the TPACK framework, this study not only enhances students’ CICT proficiency but also fills a crucial gap in the literature regarding effective pedagogical approaches to foster 21st century skills.
Some of the metrics are blocked by your
consent settings
Michelin-starred restaurant diner return willingness: A case study from Thailand
(2024-01-01)
Rattanaparinyanon, Harit
;
Vuthisopon, Sujira
;
Saengnoree, Amnuay
;
Siripongdee, Surapong
This study investigates the factors influencing the return willingness (RW) of diners at Michelin-starred restaurants in Thailand. The focus is on understanding how service novelty (SN), new product innovation (NPI), culinary standards (CS), and diner satisfaction (DS) contribute to diners' intentions to return. A quantitative approach was employed using structural equation modeling (SEM) to analyze data collected from a sample of 320 diners. The study examined the direct and total effects of the variables on RW. The analysis revealed that service novelty, new product innovation, culinary standards, and diner satisfaction collectively account for 75% of the variance in return willingness (R² = 0.75). Service novelty, new product innovation, and culinary standards exhibit significant direct effects on return willingness, with total effect (TE) values of 0.87, 0.79, and 0.76, respectively. Diner satisfaction also significantly impacts return willingness, with a TE value of 0.42. All nine proposed hypotheses were supported, confirming the positive influence of SN, NPI, CS, and DS on diners' return willingness. The study underscores the critical role of continuous innovation, high culinary standards, and exceptional diner satisfaction in fostering repeat business. These factors are integral to enhancing customer loyalty at Michelin-starred restaurants in Thailand. The findings offer valuable insights for restaurant managers aiming to boost customer loyalty and sustain long-term success. Emphasizing service innovation, maintaining high culinary standards, and ensuring diner satisfaction can significantly improve diners' return willingness.
Some of the metrics are blocked by your
consent settings
Antecedents to Haidilao Hot Pot Restaurant Consumer Loyalty in Bangkok
(2024-01-01)
Fan, Hairui
;
Saengnoree, Amnuay
;
Siripongdee, Surapong
This study's objective was to develop a structural equation model (SEM) of factors influencing consumer loyalty at Bangkok's Haidilao Hot Pot (HHP) Chinese restaurants. The study focused on consumers who visited the Central World Mall and Central Rama 9 Mall branches at least once during June and July 2023. The researchers used stratified random sampling to collect 312 questionnaires from the consumers surveyed. The questionnaire's validity and reliability were ensured through expert evaluation and pilot testing, with Cronbach's alpha values ranging from 0.81 to 0.89. Data were collected via an online questionnaire in both Thai and English and assessed for content validity and reliability. The SEM path analysis was conducted using LISREL 9.10, while SPSS for Windows 21 was used for descriptive statistics. Results indicated that all SEM factors positively influenced consumer loyalty, explaining 63% of the variance. The three most significant factors were service innovation (0.79), service quality (0.64), and service satisfaction (0.61). This study extends the limited post-COVID-19 literature on the Asian food and service sector by validating a comprehensive model of consumer loyalty specific to Chinese hot pot restaurants. It highlights the essential nature of service innovation, quality, and satisfaction in fostering consumer loyalty. The findings provide valuable insights for restaurant industry practitioners, highlighting the need to invest in service innovation and maintain high service quality to enhance customer satisfaction and loyalty. These strategies are essential for sustainable growth and operational improvements.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results