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.
การประกันภัยเป็นที่นิยมมากในปัจจุบัน บริษัทประกันจึงจำเป็นที่จะต้องปรับตัวรับมือกับกรมธรรม์ที่มากขึ้นในทุกๆปี ทำให้จะต้องมีระบบในการรองรับและจัดการต่างๆ ซึ่งในหน่วยงานของสินไหมรถยนต์เอง ก็ต้องมีระบบและการจัดการที่มีประสิทธิภาพเช่นกัน และหนึ่งในนั้นคืองานระบบภายในและระบบภายนอกที่เกิดจากความต้องการของสาขาต่างๆของบริษัท และคู่ค้าสัญญาในเครือ ซึ่งทำให้เกิดระบบขึ้นมา ได้แก่ ระบบจัดการและจัดเก็บอะไหล่
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
With the current cost of living situation in Thailand continuously rising, many recent graduates face challenges in managing their expenses in alignment with the increasing living costs. Food expenses, even for common street food, continue to surge with no sign of decreasing, despite improvements in raw material costs. Pay-Attention is a website platform designed to help recent graduates gain insights into managing and optimizing their food expenses effectively. It provides guidance on how to spend wisely, ensuring cost-effectiveness while maintaining adequate daily nutritional intake, without falling into monotonous eating habits.
คณะเทคโนโลยีสารสนเทศ
This research presents a deep learning method for generating automatic captions from the segmentation of car part damage. It analyzes car images using a Unified Framework to accurately and quickly identify and describe the damage. The development is based on the research "GRiT: A Generative Region-to-text Transformer for Object Understanding," which has been adapted for car image analysis. The improvement aims to make the model generate precise descriptions for different areas of the car, from damaged parts to identifying various components. The researchers focuses on developing deep learning techniques for automatic caption generation and damage segmentation in car damage analysis. The aim is to enable precise identification and description of damages on vehicles, there by increasing speed and reducing the work load of experts in damage assessment. Traditionally, damage assessment relies solely on expert evaluations, which are costly and time-consuming. To address this issue, we propose utilizing data generation for training, automatic caption creation, and damage segmentation using an integrated framework. The researchers created a new dataset from CarDD, which is specifically designed for cardamage detection. This dataset includes labeled damages on vehicles, and the researchers have used it to feed into models for segmenting car parts and accurately labeling each part and damage category. Preliminary results from the model demonstrate its capability in automatic caption generation and damage segmentation for car damage analysis to be satisfactory. With these results, the model serves as an essential foundation for future development. This advancement aims not only to enhance performance in damage segmentation and caption generation but also to improve the model’s adaptability to a diversity of damages occurring on various surfaces and parts of vehicles. This will allow the system to be applied more broadly to different vehicle types and conditions of damage inthe future
คณะเทคโนโลยีการเกษตร
This research gives a comprehensive overview of the use of antibiotics in livestock production, highlighting both the benefits and the risks associated with their use. The benefits, such as improving immunity, digestion, and reducing infections, are contrasted with the growing concern over antibiotic residues and the development of drug resistance. The shift towards alternatives like probiotics is explored as a sustainable solution, with a specific focus on lactic acid bacteria (LAB) found in the digestive systems of livestock. Thailand’s regulations, which control antibiotic use in animal feed, are also discussed, setting the stage for the study on LAB as a potential replacement for imported probiotics. 1. Use of Antibiotics in Livestock: Antibiotics have been used to promote growth, improve digestion, and prevent infections in livestock. However, the improper use of antibiotics can lead to residues in animal products and the development of drug-resistant bacteria. 2. Global Trends in Antibiotic Use: Many countries, like the European Union and Japan, have banned antibiotics as growth promoters, while others, like China and the U.S., are planning similar bans. 3. Thailand's Approach: Thailand has implemented a regulation since September 2020 to control the use of antibiotics in animal feed, requiring control at both feed mills and farms that mix their own feed. 4. Probiotics as an Alternative: Probiotics, particularly lactic acid bacteria (LAB), are being studied as an alternative to antibiotics. LAB are naturally found in the digestive tracts of livestock and are considered beneficial for maintaining gut health and replacing the need for antibiotics. The study examines the potential of LAB from Thai livestock (broilers, pigs, and cattle) as a sustainable alternative to imported probiotics, aiming to overcome issues like low survival rates of foreign probiotics in practice.