The design site of 22 hectares of agricultural land in this area is located in Tatata District, Iglenburg Province. The design concept of this area aims to encourage farmers and communities to earn income from the agricultural products produced in this area, and emphasizes that this area is a "living market", which can not only create food from a variety of crops, but also establish a balanced ecosystem and promote biodiversity in this area. The market will become a sustainable market area, which is not only beneficial to society in promoting economy, but also beneficial to the environment. The area will serve as a social and learning center, where community members can fully exchange agricultural information and experience and stimulate the economy in the community in another way.
เพื่อศึกษาการออกแบบภูมิทัศน์
คณะบริหารธุรกิจ
Air Quality Monitoring System with External Device Controlling Capability is the equipment which measures and records the climatic data with the capability to control external devices (e.g. blower fan or air purifier) to rectify the surrounding atmosphere according to the air quality at the moment and other users' pre-defined conditions.
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.
คณะวิศวกรรมศาสตร์
This thesis presents the application of deep learning for object classification. The selected deep learning architectures studied include Convolutional Neural Networks (CNN) and ResNet18. It covers data preparation, feature extraction, parameter tuning for accuracy comparison, and performance evaluation of the selected models. The aim is to propose an efficient model for use in devices that assist visually impaired individuals in classifying indoor objects and providing sound alerts.