Browse
Recent Submissions
Item INTRUSION DETECTION SYSTEM (IDS) DEVELOPMENT USING TREE-BASED MACHINE LEARNING ALGORITHMS(Academy and Industry Research Collaboration Center (AIRCC), 2023) Witcha Chimphlee; Siriporn ChimphleeThe paper proposes a two-phase classification method for detecting anomalies in network traffic, aiming to tackle the challenges of imbalance and feature selection. The study uses Information Gain to select relevant features and evaluates its performance on the CICIDS-2018 dataset with various classifiers. Results indicate that the ensemble classifier achieved the highest accuracy, precision, and recall. The proposed method addresses challenges in intrusion detection and highlights the effectiveness of ensemble classifiers in improving anomaly detection accuracy. Also, the quantity of pertinent characteristics chosen by Information Gain has a considerable impact on the F1-score and detection accuracy. Specifically, the Ensemble Learning achieved the highest accuracy of 98.36% and F1-score of 97.98% using the relevant selected features. © (2023), (Academy and Industry Research Collaboration Center (AIRCC)). All Rights Reserved.Item Instructional Design: Under the Concept of Game Based Learning for Nursing Education(Research and Development Institute Suan Dusit University, 2023) Sunida Choosang; Niratchada Chai-Ngam; Rungnapa Pongkiatchai; R. Pongkiatchai; Faculty of Nursing, Suan Dusit University, Bangkok, 10300, Thailand; email: rungnapa_pon@dusit.ac.thGame-based learning (GBL) is a method that motivates students to learn content in a fun way. Learners are motivated by challenge, fantasy, and curiosity in games. GBL provides learners with the opportunity to test the game and empower them to make decisions. The course content can be inserted into the minds of the learners through the game to help them develop and achieve higher learning outcomes. GBL can be used for both traditional classroom teaching and online teaching. This article presents information about game-based learning management. The concept of game-based learning and a review of the design elements of educational games are discussed. We then review the game development process and the implement of games in the classroom as well as assessing outcomes. Lastly, GBL trend for nursing education is discussed. © 2023, Research and Development Institute Suan Dusit University. All rights reserved.Item Lipid Production of Marine Green Microalgae Chlorella protothecoides BUUC1601 by Using Spent Coffee Grounds Hydrolysate(Research and Development Institute Suan Dusit University, 2023) Rachanimuk Hiransuchalert; Nisa Siranonthana; Nuttapon Chedtaisong; Pakawan Setthamongkol; Yutthaya Yuyen; Janjarus Watanachote; Paveena Tapaneeyaworawong; Nongnuch Rungsawang; Maliwan Kutako; M. Kutako; Faculty of Marine Technology, Burapha University, Chanthaburi, Chanthaburi Campus, 22170, Thailand; email: maliwan@buu.ac.thSpent coffee grounds are an organic waste that can be used as a source of microbial organic carbon. In this research, coffee grounds were hydrolyzed into a solution called spent coffee grounds hydrolysate (SCGH) using concentrated sulfuric acid. Then, the marine green microalgae, C. protothecoides BUUC1601, was cultured using SCGH. Growth performance and lipid accumulation of the microalgae were evaluated. The microalgae were cultured using a standard F/2 medium without and with SCGH added in the range of 2.5-15% of culture media (v/v). It was found that the microalgae had similar growth performance and biomass yield, i.e., the specific growth rate was in the range of 0.87-1.12 day-1 and the biomass yield was in the range of 0.05-0.08 g DW/L/day. Microalgae cultivation using F/2 with SCGH had an effect on lipid accumulation. It was found that using SCGH at 15% of the total volume resulted in an increase in the amount of lipid accumulation up to 66.03% of the dry weight. Of these, it was 2.89 times higher than the lipid content of microalgae cultured with no SCGH added. The content of monounsaturated fatty acids ranged from 46.15% to 46.53% and polyunsaturated fatty acids ranged from 32.40% to 34.62% of the total fatty acid content. Oleic acid (C18:1n9), an omega-9 fatty acid, was found to be the most abundant, accounting for over 30% of the total fatty acid content. In contrast, the omega-6 fatty acids linoleic acid (C18:2n6) and gamma-linolenic acid (C18:3n6) were found to be lower, accounting for 25.99%-27.20% and 6.03%-7.01% of the total fatty acid content, respectively. The omega-3 fatty acid such as alpha-linolenic acid (C18:3n3) was found at 4.20% in microalgae cultured using standard F/2 medium without SCGH, which was higher than in microalgae cultured with the addition of SCGH. Therefore, the addition of SCGH at a concentration of 2.5%-15% (v/v) can be used to cultivate C. protothecoides BUUC1601 for the lipid production with high unsaturated fatty acid content, which has the potential to be used in both aquaculture and functional food supplementation. © 2023, Research and Development Institute Suan Dusit University. All rights reserved.Item COVID-19 MODELLING WITH SQUARE ROOT SUSCEPTIBLE-INFECTED INTERACTION(Serbian Society of Heat Transfer Engineers, 2023) Nadia Gul; Anwar Zeb; Salih Djilali; Mazz Ullah; Zohreh Eskandari; Thitiporn Linitda; A. Zeb; Department of Mathematics, COMSATS University Islamabad, Abbottabad, Pakistan; email: thitiporn_lin@dusit.ac.th; T. Linitda; Mathematics Department, Faculty of Science and Technology, Suan Dusit University, Bangkok, Thailand; email: anwar@cuiatd.edu.pkWe propose a COVID-19 mathematical model related to functional shape with square root susceptible-infected interaction. Using the Hurwitz criterion and then a graph theoretical-method for the construction of a Lyapunov function, we discuss both local and global stability. The analytical solution of the system is obtained in a special case. A non-standard finite difference scheme is then developed with the aim to obtain a proper discrete-time version of the model. Simulations show a good agreement between the proposed discretization and the results given by standard numerical methods. © 2023 Society of Thermal Engineers of Serbia Published by the Vin_a Institute of Nuclear Sciences, Belgrade, Serbia. This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditionsItem Factors Associated With Alcohol Consumption Among Thai People by Gender: Results From the Smoking and Drinking Behavior Survey 2014(Wolters Kluwer Health, 2023) Somporn Sitthisongkram; Sattha Prakobchai; Nutthachayada Rajchawang; S. Sitthisongkram; Chiang Mai Province, 201 M.4, Donkeaw Sub-district, Mea Rim City, 50180, Thailand; email: somporn@bcnc.ac.thObjective The aim of this study was to examine the factors associated with alcohol consumption among Thai people by gender using the social determinants of health theoretical framework. Method Participants were Thai people aged 15 years or older. A total of 25,758 Thai people were selected through a stratified random sampling method. The study was a secondary analysis of a national cross-sectional study using the data from the Thailand Smoking and Drinking Behavior Survey 2014. Results Thai people were regular drinkers (13.69%). Regarding gender, 26.54% of men and 2.72% of women were regular drinkers. The risk factors for regular drinking among Thai men included family members and close friends consuming alcohol, being aged 25-44 years, living in Northern Thailand, being a skilled or unskilled worker, smoking, and income of 10,001-30,000 Thai baht/month (31 Thai Baht (THB)/U.S. dollars). Protective factors against alcohol consumption were living in Southern Thailand and being unemployed/a student. For women, the risk factors for regular drinking were family members and close friends drinking as well as smoking. Being married, living in a nonmunicipal area, holding a diploma or bachelor's degree, and being unemployed/a student were protective factors against alcohol drinking among women. Factors associated with alcohol consumption among Thai people vary by gender. Therefore, solving the drinking problems should consider both the risk and protective factors for men and women separately. © Lippincott Williams & Wilkins.Item STUDY OF INTEGER AND FRACTIONAL ORDER COVID-19 MATHEMATICAL MODEL(World Scientific, 2023) Rujira Ouncharoen; Kamal Shah; Rahim Ud Din; Thabet Abdeljawad; A.L.I. Ahmadian; Soheil Salahshour; Thanin Sitthiwirattham; T. Abdeljawad; Department of Mathematics and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia; email: tabdeljawad@psu.edu.saIn this paper, we study a nonlinear mathematical model which addresses the transmission dynamics of COVID-19. The considered model consists of susceptible (S), exposed (E), infected (I), and recovered (R) individuals. For simplicity, the model is abbreviated as SEIR. Immigration rates of two kinds are involved in susceptible and infected individuals. First of all, the model is formulated. Then via classical analysis, we investigate its local and global stability by using the Jacobian matrix and Lyapunov function method. Further, the fundamental reproduction number R0 is computed for the said model. Then, we simulate the model through the Runge-Kutta method of order two abbreviated as RK2. Finally, we switch over to the fractional order model and investigate its numerical simulations corresponding to different fractional orders by using the fractional order version of the aforementioned numerical method. Finally, graphical presentations are given for the approximate solution of various compartments of the proposed model. Also, a comparison with real data has been shown. © 2023 The Author(s).Item Sustainable airport energy management: The case of the Frankfurt Airport(Nova Science Publishers, Inc., 2023) Glenn Baxter; G. Baxter; School of Tourism and Hospitality Management, Suan Dusit University, Thailand; email: g_glennbax@dusit.ac.thEnergy management now forms a key part of airport sustainability policies and strategies. This study has used an in-depth longitudinal case study approach to examine Frankfurt Airport's sustainable energy management. The case study covered the period 2008 to 2019. The case study revealed that the airport's energy consumption displayed an upward trend from 2008 to 2016, and a general downward trend from 2017 to 2019. Throughout the study period, Frankfurt Airport introduced a range of energy efficiency related measures. These measures include the installation of high efficiency air conditioning, and ventilation (HVAC) systems in the airport's passenger terminal buildings, a reduction in lighting in the terminal building when they were not being used, turning off air conditioning systems at night, upgrading the energy efficiency of its passenger baggage conveyor system, the installation of more energy efficient light emitting diode (LED) lighting. The airport is also replacing its fleet of airport vehicles and aircraft ground handling equipment with electric powered vehicles. At Frankfurt Airport all new buildings are planned and designed for optimum energy usage. The airport's newly constructed passenger Terminal 3 has a range of energy efficiency measures, which include optimized cooling, the use of internal loads and dissipated heat from airport's baggage handling system to provide heat, LED lighting, as well as the intelligent use of daylight. The airport signed a power-purchase agreement for the supply of green electricity in 2020. Frankfurt Airport has also installed solar photovoltaic (PV) systems. The airport is also planning to use e-kerosene. © 2023 Nova Science Publishers, Inc. All rights reserved.Item Electrochemical properties of activated carbon from waste coffee grounds with hydrothermal-microwave radiation technique(Springer, 2023) Wanpiti Thammasri; Romklao Jantrasee; Jitrin Chaiprapa; Sakwiboon Jantrasee; S. Jantrasee; Research and Development, Siam Silicon Co., Ltd., Khon Kaen, Muang, Thailand; email: jorsak7@gmail.comCoffee is the most popular drinkÊconsumed by millions of people around the world every day. Global coffee production creates over 20 million tons of waste per year. There is trash, largely from the result of coffee brewing and instant coffee, readily available in vast amounts at low price or without value called waste coffee grounds. This study aimed to investigate the electrochemical properties of activated carbon made from waste coffee grounds. The activated carbon (AC) from waste coffee grounds increased porosity by KOH through the Hydrothermal-Microwave radiation technique at various times including, the surface area, the amount of microporous and mesoporous. The AC from waste coffee grounds was characterized by different techniques. Electrode preparation and electrochemical study were set up for measuring and evaluating the electrochemical properties of AC from the waste coffee grounds. The AC-20Êmin showed a high specific capacitance of 115 F/g at 1 A/g and 68 F/g at 30 A/g from the discharge appearance. The working electrode constructed from activated carbon waste coffee grounds in nickel foam gave an energy density and power density of 19.07 Wh/kg and 15,147 Wk/g, respectively. The effectiveness of the AC from waste coffee grounds in this research showed viability for fabricating energy materials. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.Item EXTENSION of HAAR WAVELET TECHNIQUES for MITTAG-LEFFLER TYPE FRACTIONAL FREDHOLM INTEGRO-DIFFERENTIAL EQUATIONS(World Scientific, 2023) Jiraporn Reunsumrit; Kamal Shah; Aziz Khan; Rohul Amin; Israr Ahmad; Thanin Sitthiwirattham; A. Khan; Department of Mathematics and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia; email: akhan@psu.edu.saFractional order integro-differential equation (FOIDE) of Fredholm type is considered in this paper. The mentioned equations have many applications in mathematical modeling of real world phenomenon like image and signal processing. Keeping the aforementioned importance, we study the considered problem from two different aspects which include the existence theory and computation of numerical approximate solution. FOIDEs have been investigated very well by using Caputo-Type derivative for the existence theory and numerical solutions. But the mentioned problems have very rarely considered under the Mittage-Leffler-Type derivative. Also, for FOIDE of Fredholm type under Mittage-Leffler-Type derivative has not yet treated by using Haar wavelet (HW) method. The aforementioned derivative is non-singular and nonlocal in nature as compared to classical Caputo derivative of fractional order. In many cases, the nonsingular nature is helpful in numerical computation. Therefore, we develop the existence theory for the considered problem by using fixed point theory. Sufficient conditions are established which demonstrate the existence and uniqueness of solution to the proposed problem. Further on utilizing HW method, a numerical scheme is developed to compute the approximate solution. Various numerical examples are given to demonstrate the applicability of our results. Also, comparison between exact and numerical solution for various fractional orders in the considered examples is given. Numerical results are displayed graphically. © 2023 The Author(s).Item Derivation of Bounds for Majorization Differences by a Novel Method and Its Applications in Information Theory(Multidisciplinary Digital Publishing Institute (MDPI), 2023) Abdul Basir; Muhammad Adil Khan; Hidayat Ullah; Yahya Almalki; Saowaluck Chasreechai; Thanin Sitthiwirattham; M.A. Khan; Department of Mathematics, University of Peshawar, Peshawar, 25000, Pakistan; email: madilkhan@uop.edu.pk; T. Sitthiwirattham; Research Group for Fractional Calculus Theory and Applications, Science and Technology Research Institute, King MongkutÕs University of Technology North Bangkok, Bangkok, 10800, Thailand; email: thanin_sit@dusit.ac.thIn the recent era of research developments, mathematical inequalities and their applications perform a very consequential role in different aspects, and they provide an engaging area for research activities. In this paper, we propose a new approach for the improvement of the classical majorization inequality and its weighted versions in a discrete sense. The proposed improvements give several estimates for the majorization differences. Some earlier improvements of the Jensen and Slater inequalities are deduced as direct consequences of the obtained results. We also discuss the conditions under which the main results give better estimates for the majorization differences. Applications of the acquired results are also presented in information theory. © 2023 by the authors.Item Development of Healthy Ready-to-Cook Sauce for Thai Food(Research and Development Institute Suan Dusit University, 2023) Varaporn Vittayaporn; Ekapon Onnompun; Weerapong Wirunthanakrit; V. Vittayaporn; School of Culinary Arts, Suan Dusit University, Bangkok, 10300, Thailand; email: Varaporn_vit@dusit.ac.thThai cuisine is widely popular both domestic and international. Thai cuisine is characterised by the use of herbs and spices as ingredients to provide unique flavors. However, due to the vast variety of ingredients and the delicacy in preparing or even the difficulty in acquiring the ingredients indicated in the recipes, the flavors of the dish are very likely to be distorted from authenticity. This research therefore developed ready-to-cook sauces for Thai food to increase convenience for consumers and to survey consumersÕ acceptance of these products. Additionally, tea seed oil and powdered Gac were utilised for their health-wise beneficial values. The developed ready-to-cook sauces included Pad Thai sauce and Ka Phrao (Holy basil) sauce. The result of product acceptance test indicated that consumers rated the liking scores for Pad Thai sauce and Ka Phrao sauce in the range between like moderately and like very much (8.2±1.3 and 7.8±1.2). Over 92% of the consumers accepted both sauce products, and more than 89% decided to purchase the products. Hence, the development of the healthy ready-to-cook sauces as products are viable for commercial distribution. © 2023, Research and Development Institute Suan Dusit University. All rights reserved.Item Building Prevention Tools for Sexual Violence in Family, School and Community of Thailand(International Journal of Criminal Justice Sciences, 2023) Sunee Kanyajit; Suppakorn Poonyarith; Natthapon Sokantat; Chatchai Mahakeeta; Patcharapan NakpongSexual violence can occur with people of all genders, sexual orientations, and age groups. The current study was carried out for building of prevention tools for checking sexual violence in family, schools and communities of Thailand via a mixed research design. The study aimed to investigate understanding of sexual violence and participantsÕ opinions toward making prevention tools of sexual violence in family, school and community. The quantitative stage employed a questionnaire to collect data from parents and/or guardians, school administrators and teachers at the secondary school, and community leaders and other individuals in the community. The sample size for the quantitative step was 2,420 participants while the qualitative step was conducted with 30 informants through Focus group discussion. These 30 key informants included police officers, public prosecutors, judges, correctional officers, officers from juvenile detention center, Ministry of Education, Ministry of Public Health, and governing officers from the Department of Provincial Administration, mass communication specialist and legal specialists. The results revealed that creating prevention tool for sexual violence needed cooperation among family, educational institution and community. In a family, parents or guardians should act as good role model and not demonstrate any inappropriate behavior that could stimulate a sexual assault. At schools, safety measures should be established and students should be educated on self-prevention from becoming victims of crime. In the community, people must help each other to monitor the population and create a safe environment to reduce crime. © 2023 International Journal of Criminal Justice Sciences. Under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)Item NVIDIA Jetson Nano and Python-based Economical Human Fall Detection and Analysis System(Institute of Electrical and Electronics Engineers Inc., 2023) Chudanat Sudthongkhong; Siwat Suksri; Chanate Ratanaubol; Sookyuen Tepthong; Jira Jitsupa; Putawan Suksai; C. Sudthongkhong; King Mongkut's University of Technology Thonburi (KMUTT), School of Architecture and Design, Department of Medical and Science Media, Bangkok, Thailand; email: medicalmedia01@gmail.comEvery year, around one-third of elderly individuals experience falls at home, especially in high-risk areas like bathrooms and stairs. Uneven floor surfaces exacerbate these dangers, impeding elderly mobility and significantly increasing fall risks, with recurrent falls being common. Recognizing this pressing concern, our project introduces a 'Human Fall Detection and Estimation System' to mitigate harm. This system deploys a specialized camera with gesture recognition software to monitor for falls by detecting posture deviations. When a fall occurs, the system records the location and uses advanced Image Processing for precise Pose Estimation. Deep Learning analyzes Pose Estimation data to gauge fall severity and simultaneously alerts caregivers via the network for swift assistance. Incidents are logged in a database for root cause analysis, facilitating more effective elderly care systems. our system plays a crucial role in preventing and addressing elderly falls, swiftly detecting and assessing incidents, and alerting caregivers [1], enhancing elderly safety and well-being. © 2023 IEEE.Item Effect of the Variation of Solid/Liquid Content in Food on the Sterilizing Time and Physical Properties of Chicken and Turkey Berries in Green Curry in Retort Pouch(Taylor and Francis Ltd., 2023) Teeranuch Chysirichote; Weawwan Wattanasiriwit; Kamontip Ploykrachang; Teerin Chysirichote; T. Chysirichote; Department of Food Engineering, School of Engineering, King MongkutÕs Institute of Technology Ladkrabang, Bangkok, 1 Chalongkrung 1 Rd, Ladkrabang, Thailand; email: teerin.ch@kmitl.ac.thWhen industrial sterilizing is being done on a large scale, retort pouches are typically loaded with solid components first, followed by liquid ones. The error of filling steps occurs before the sterilization procedure is feasible. The curry with chicken and turkey berries was chosen as the food protocol to be studied. The foodÕs solid/liquid ratio was tested, from 0.93 to 4.49. The process time was influenced by the heat capacity ratio of the solid and liquid, but it was not considerably affected by the solid/liquid ratio. As a result, the process time had an impact on the texture and color of the meat but had no effect on the texture of the vegetables for process periods between 5 and 12 min (F0 = 4). The process time was earlier researched; however, the results of this study were used to roughly estimate the process time in the instance of the F0. © 2023 Taylor & Francis.Item Prototype School on Development of Morals and Ethics for Early Childhood in the 21st Century(Research and Development Institute Suan Dusit University, 2023) Pornteap Leethong-In; Thipsuda Kitlert; Venus Sakunhom; Mongkolchai Boonkaew; P. Leethong-In; Faculty of Education, Suan Dusit University, Bangkok, 10300, Thailand; email: pornteap_lee@dusit.ac.thThis research aimed to develop an outcome mapping workshop, assesment criteria, and quality assessment of prototype school on the development of morals and ethics for early childhood in the 21st Century. The participants were boundary partners from 4 schools under the Nakhon Nayok Primary Educational Service Area Office, Nakhon Nayok Province, Academic Year 2021, consisting of 20 people; 14 direct partners and 6 strategic partners. Participants wereselected by using purposive sampling technique. The participants attended a 2-day outcome mapping workshop for the prototype school on the development of morals and ethics for early childhood in the 21st century. Then, the appropriateness of the outcome mapping workshop was examined in order to investigate the efficiency and effectiveness, and ensure standards of accuracy, suitability, feasibility, and advantages. Qualitative data were analyzed using content analysis and quantitative data was analyzed using basic statistics including percentage, mean, and standard deviation. The results showed that prototype school on the development of morals and ethnics for early childhood in the 21st century consisted of 3 major steps and 12 minor steps. The evaluation criteria for the prototype school on development of the morals and ethics of early childhood in the 21st century consisted of 17 indicators, 88 practical criteria. The quality of the outcome mapping worskhop consisted of two components: 1) the efficiency and effectiveness based on weight of assesesment cirteria before and after the experiement according to the pre and post experiment increased; and 2) the verification of the results and evaluation criteria for standardized outcome mapping was accurate, suitable, and feasible. The overall usefulness was scored at a very good level. © 2023, Research and Development Institute Suan Dusit University. All rights reserved.Item Performance improvement of the dry chemical-based fire extinguishers using nanocalcium silicate synthesised from biowaste(SAGE Publications Ltd, 2023) Nuttabodee Viriyawattana; Surachat Sinworn; S. Sinworn; Occupational Health and Safety Program, Faculty of Science and Technology, Suan Dusit University, Bangkok, Thailand; email: sinworn@hotmail.comHerein, we investigated nanocalcium silicate (nCa2SiO4) prepared from clam shells and rice husks for its utilisation as a chemical agent in a fire-extinguishing mixture comprising ABC dry powder. The fire-extinguishing performance was evaluated with Class A and B fires. The prepared mixture was compared with commercial mono-ammonium phosphate powder based on different parameters, namely extinguishing time, amount of extinguishing agent used, fire temperature reduction rate, powder coating on the fuel and a reburn incident. It was found that the mixture of nCa2SiO4 and ABC dry powder could extinguish Class A and B fires within 10.67 and 9 s, respectively, while commercial mono-ammonium phosphate powder required 11 and 11.33 s to extinguish Class A and B fires, respectively. Thus, the mixture of nCa2SiO4 and ABC dry powder was more effective and less consumed as compared to commercial mono-ammonium phosphate powder (Class B only). This study demonstrates the efficacy of nCa2SiO4 to improve the performance of dry chemical-based fire extinguishers. © The Author(s) 2023.Item Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model(Journal of Visualized Experiments, 2023) Veerayuth Kittichai; Morakot Kaewthamasorn; Suchansa Thanee; Thanyathep Sasisaowapak; Kaung Myat Naing; Rangsan Jomtarak; Teerawat Tongloy; Santhad Chuwongin; Siridech Boonsang; V. Kittichai; Faculty of Medicine, King MongkutÕs Institute of Technology Ladkrabang, Thailand; email: Veerayuth.ki@kmitl.ac.th; S. Boonsang; Department of Electrical Engineering, School of Engineering, King MongkutÕs Institute of Technology Ladkrabang, Thailand; email: siridech.bo@kmitl.ac.thTrypanosomiasis is a significant public health problem in several regions across the world, including South Asia and Southeast Asia. The identification of hotspot areas under active surveillance is a fundamental procedure for controlling disease transmission. Microscopic examination is a commonly used diagnostic method. It is, nevertheless, primarily reliant on skilled and experienced personnel. To address this issue, an artificial intelligence (AI) program was introduced that makes use of a hybrid deep learning technique of object identification and object classification neural network backbones on the in-house low-code AI platform (CiRA CORE). The program can identify and classify the protozoan trypanosome species, namely Trypanosoma cruzi, T. brucei, and T. evansi, from oil-immersion microscopic images. The AI program utilizes pattern recognition to observe and analyze multiple protozoa within a single blood sample and highlights the nucleus and kinetoplast of each parasite as specific characteristic features using an attention map. To assess the AI program's performance, two unique modules are created that provide a variety of statistical measures such as accuracy, recall, specificity, precision, F1 score, misclassification rate, receiver operating characteristics (ROC) curves, and precision versus recall (PR) curves. The assessment findings show that the AI algorithm is effective at identifying and categorizing parasites. By delivering a speedy, automated, and accurate screening tool, this technology has the potential to transform disease surveillance and control. It could also assist local officials in making more informed decisions on disease transmission-blocking strategies. © 2023 JoVE Journal of Visualized Experiments.Item Convergence Analysis of Two Parallel Methods for Common Variational Inclusion Problems Involving Demicontractive Mappings(Hindawi Limited, 2023) Thanasak Mouktonglang; Kanyuta Poochinapan; Pariwate Varnakovida; Raweerote Suparatulatorn; Sompop Moonchai; R. Suparatulatorn; Elementary Education Program, Faculty of Education, Suan Dusit University, Lampang Center, Lampang, 52100, Thailand; email: raweerote.s@gmail.comThe main objective of this article is to propose two novel parallel methods for solving common variational inclusion and common fixed point problems in a real Hilbert space. Strong convergence theorems of both methods are established by allowing for some mild conditions. Moreover, numerical studies of the signal recovery problem consisting of various blurred filters demonstrate the computational behavior of the proposed methods and other existing methods. © 2023 Thanasak Mouktonglang et al.Item Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system(Nature Research, 2023) Veerayuth Kittichai; Morakot Kaewthamasorn; Yudthana Samung; Rangsan Jomtarak; Kaung Myat Naing; Teerawat Tongloy; Santhad Chuwongin; Siridech Boonsang; S. Boonsang; Department of Electrical Engineering, School of Engineering, King MongkutÕs Institute of Technology Ladkrabang, Bangkok, Thailand; email: Siridech.Bo@kmitl.ac.thMosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes of death in low-income countries. Control measure for the mosquito population plays an essential role in the fight against the disease. Currently, several intervention strategies; chemical-, biological-, mechanical- and environmental methods remain under development and need further improvement in their effectiveness. Although, a conventional entomological surveillance, required a microscope and taxonomic key for identification by professionals, is a key strategy to evaluate the population growth of these mosquitoes, these techniques are tedious, time-consuming, labor-intensive, and reliant on skillful and well-trained personnel. Here, we proposed an automatic screening, namely the deep metric learning approach and its inference under the image-retrieval process with Euclidean distance-based similarity. We aimed to develop the optimized model to find suitable miners and suggested the robustness of the proposed model by evaluating it with unseen data under a 20-returned image system. During the model development, well-trained ResNet34 are outstanding and no performance difference when comparing five data miners that showed up to 98% in its precision even after testing the model with both image sources: stereomicroscope and mobile phone cameras. The robustness of the proposedÑtrained model was tested with secondary unseen data which showed different environmental factors such as lighting, image scales, background colors and zoom levels. Nevertheless, our proposed neural network still has great performance with greater than 95% for sensitivity and precision, respectively. Also, the area under the ROC curve given the learning system seems to be practical and empirical with its value greater than 0.960. The results of the study may be used by public health authorities to locate mosquito vectors nearby. If used in the field, our research tool in particular is believed to accurately represent a real-world scenario. © 2023, The Author(s).Item Lessons We Can Learn from Government and Accounting Relief Measures during the COVID-19 Pandemic: A Comparative Study(Research and Development Institute Suan Dusit University, 2023) Nattapan Tantikul; Wanvitu Soranarak; N. Tantikul; Faculty of Management Science, Suan Dusit University, Bangkok, 10300, Thailand; email: nattapan_t@yahoo.comGovernments around the world always face extreme uncertainty and unprecedented challenges. Food insecurity, climate change, and child labor and trafficking are among the top crises in the modern world. However, nowadays, the outbreak of the COVID-19 pandemic is considered as the newest global crisis and the greatest challenge we have confronted since World War II. To alleviate the impact of COVID-19 pandemic, most governments have approved several kinds of government relief measures and stimulus packages that might be different, but appropriate for epidemiological and economic situations among countries. Furthermore, to support the government policies towards business in response to COVID-19, many accounting organizations around the world also provided some recommendations and guidance such as on government grants, for both financial statement preparers and users during the time of the crisis. In addition, in some countries such as Thailand, there were some accounting relief measures to help lessen the negative impacts of any managementÕs unreasonable judgement and unreliable estimates during the time of high uncertainty. It is undeniable that the COVID-19 shapes our modern history, and it is important and valuable lesson that we can learn from the past. Because government and accounting relief measures might have both benefits and potential drawbacks that we must compromise, learning from the COVID-19 crisis we are facing today will help us better understand how the relief measures work now, and it might help us determine how to approach any crisis prudently and effectively in the future. © 2023, Research and Development Institute Suan Dusit University. All rights reserved.