This research project focuses on developing an "instant coconut milk ice cream powder" enriched with dietary fiber and insect protein powder — a concept rooted in creating an alternative dessert product in powdered ice cream form with key strengths in health, nutritional value, and sustainability. Coconut milk, a plant-based ingredient, serves as the primary raw material in place of cow's milk, making the product suitable for individuals with lactose allergy or lactose intolerance. The product is further enriched with inulin dietary fiber to enhance its functional nutritional value, supporting the growth of beneficial gut microorganisms, helping to improve digestive balance, and aiding in blood sugar level control. Additionally, insect protein powder is incorporated as a high-quality protein source representing a future alternative protein that distinguishes this product from conventional ice cream. Furthermore, the instant powdered coconut milk ice cream format offers practical advantages — it is easy to prepare, convenient, and simple to transport and store. The product can be reconstituted into ice cream by adding water, blending, and freezing prior to consumption. It can also serve as a base for other ice cream flavors, or be further applied as an ingredient in other desserts or blended beverages. There is also commercial potential to extend the product as a health food ingredient for the food service industry. The product is developed with the concept of low fat and low sugar content, utilizing clean, safe, standardized, and environmentally friendly domestic raw materials
ในปัจจุบัน กระแสการบริโภคอาหารเพื่อสุขภาพมีการเติบโตขึ้นอย่างรวดเร็วทั้งในระดับโลกและในประเทศไทย จากการที่ผู้บริโภคเริ่มให้ความสำคัญกับการดูแลสุขภาพและโภชนาการมากขึ้น ส่งผลให้ผู้บริโภคมีแนวโน้มที่จะให้ความสำคัญและมีความสนใจในการบริโภคผลิตภัณฑ์อาหารที่มีประโยชน์ต่อร่างกายมากยิ่งขึ้น โดยเฉพาะผลิตภัณฑ์ที่ให้คุณค่าทางโภชนาการสูงและช่วยส่งเสริมระบบต่าง ๆ ของร่างกายได้ เช่น ระบบขับถ่าย ระบบภูมิคุ้มกัน หรือการควบคุมน้ำหนัก เป็นต้น (Euromonitor International, 2024) ส่งผลให้ตลาดผลิตภัณฑ์อาหารเพื่อสุขภาพซึ่งเป็นกระแสที่สำคัญในตลาดโลกมีการขยายตัวเติบโตขึ้นอย่างต่อเนื่อง โดยเฉพาะในกลุ่มผลิตภัณฑ์ที่ปราศจากน้ำตาลแล็กโทส (Lactose-free products) ซึ่งได้รับความสนใจเพิ่มขึ้นอย่างต่อเนื่องจากผู้บริโภคที่มีภาวะการแพ้แล็กโทสหรือมีสภาวะการย่อยน้ำตาลแล็กโทสบกพร่อง (Lactose intolerance) รวมทั้งผลิตภัณฑ์จากแหล่งโปรตีนทางเลือก (Alternative protein sources) โดยเฉพาะการใช้โปรตีนจากแหล่งทรัพยากรที่ยั่งยืน ทั้งโปรตีนจากพืชหรือแมลง กำลังเป็นที่สนใจอย่างกว้างขวางสำหรับผู้บริโภคที่หลีกเลี่ยงผลิตภัณฑ์จากสัตว์ รวมถึงผู้บริโภคที่ใส่ใจต่อสิ่งแวดล้อมทั้งในและต่างประเทศ
คณะวิทยาศาสตร์
Otitis Media is an infection of the middle ear that can occur in individuals of all ages. Diagnosis typically involves analyzing images taken with an otoscope by specialized physicians, which relies heavily on medical experience to expedite the process. This research introduces computer vision technology to assist in the preliminary diagnosis, aiding expert decision-making. By utilizing deep learning techniques and convolutional neural networks, specifically the YOLOv8 and Inception v3 architectures, the study aims to classify the disease and its five characteristics used by physicians: color, transparency, fluid, retraction, and perforation. Additionally, image segmentation and classification methods were employed to analyze and predict the types of Otitis Media, which are categorized into four types: Otitis Media with Effusion, Acute Otitis Media with Effusion, Perforation, and Normal. Experimental results indicate that the classification model performs moderately well in directly classifying Otitis Media, with an accuracy of 65.7%, a recall of 65.7%, and a precision of 67.6%. Moreover, the model provides the best results for classifying the perforation characteristic, with an accuracy of 91.8%, a recall of 91.8%, and a precision of 92.1%. In contrast, the classification model that incorporates image segmentation techniques achieved the best overall performance, with an mAP50-95 of 79.63%, a recall of 100%, and a precision of 99.8%. However, this model has not yet been tested for classifying the different types of Otitis Media.
คณะวิทยาศาสตร์
The purpose of this study was to examine and analyze the factors influencing household energy expenditures in Thailand. With sample group of 57,600 households. The findings reveal that the majority of the sample population is male, with an average age of 54.31 years, and most are married. The majority have an education level of primary or secondary school and are primarily Own-account worker (without employee), Private company employee or engaged in other job. In terms of social characteristics, the average household size is 2.71 people. Most residences are located in the Central, Northeastern, and Northern regions with similar proportions, followed by the Southern region and Bangkok, respectively. Most type of dwelling in detached houses, with materials of construction being cement or brick, followed by half concrete and wood. Regarding tenure, almost own dwelling and land, with an average of 2.88 rooms per household. Electricity is available in all households, with an average of 2.30 vehicles per household and an average of 22 electrical appliances per household. Regarding economic characteristics, most respondents have government/state enterprise welfare and receive benefits from the government programs. The majority have never borrow money from government funds. The average communication services of respondents amount to 788.46 THB, while the average household debt stands at 4,760.74 THB. At a significance level of 0.05, the factors influencing household energy expenditures in Thailand include gender, education level, marital status, job, household size, residential region, type of dwelling, material of construction, tenure, number of rooms, number of vehicles, number of electrical appliances, welfare of medical services, receive benefits from the government programs, borrow money from government funds, communication services, and household debt. However, age does not affect household energy expenditures in Thailand. The results of multiple linear regression analysis indicate that six quantitative independent variables—communication services, number of household electrical appliances, number of vehicles in the household, household debt, number of rooms, and household size—explain variations in household energy expenditures, with an Adjusted R Square value of 0.561.
คณะวิทยาศาสตร์
Nowadays, automobiles are the most widely used form of transportation. This increases the risk of accidents. Therefore, car users prefer to get insurance to reduce the risk in the event of an accident. As for the insurance company, the company will be responsible for damages according to the conditions of the policy. One of the duties of a company's claims department is to procure spare parts to control costs. However, in the case of compensation, there may be erroneous operations, such as ordering the wrong parts or ordering more than necessary. Currently, insurance companies do not have a very efficient management system. This research aims to develop a system for managing and storing automobile parts for insurance companies. The system is designed to be able to track the status of spare parts from storage to disbursement. It uses barcode technology to increase accuracy and reduce errors in data recording. Such a system will help insurance companies manage spare parts systematically, reduce unnecessary costs, and increase efficiency in providing services.