This capstone project develops an AI-powered chatbot to address cybersecurity vulnerabilities, leveraging the Common Vulnerabilities and Exposures (CVE) system and the Common Vulnerability Scoring System (CVSS). The chatbot will provide accessible and informative support for understanding and mitigating these vulnerabilities, potentially leading to significant improvements in cybersecurity practices.
ในยุคที่การรักษาความปลอดภัยทางไซเบอร์มีการพัฒนาอย่างรวดเร็ว องค์กรต่างๆต้องเผชิญกับความท้าทายมากมายในการระบุและลดความเสี่ยงจากช่องโหว่ต่างๆ ภัยคุกคามทางไซเบอร์ที่มีความซับซ้อนเพิ่มขึ้นทำให้จำเป็นต้องมีเครื่องมือที่มีประสิทธิภาพและประสิทธิผลเพื่อช่วยให้นักทดสอบเจาะระบบสามารถประเมินช่องโหว่และผลกระทบที่อาจเกิดขึ้นได้ วิธีการปัจจุบันมักเกี่ยวข้องกับการค้นหาด้วยตนเองผ่านฐานข้อมูลขนาดใหญ่ ซึ่งอาจใช้เวลานานและมีโอกาสเกิดข้อผิดพลาดจากมนุษย์ แชทบอทที่ใช้ปัญญาประดิษฐ์สามารถทำให้กระบวนการนี้มีประสิทธิภาพมากขึ้น โดยให้ข้อมูลที่รวดเร็วและแม่นยำเกี่ยวกับช่องโหว่เฉพาะ รวมถึงคำอธิบาย คะแนน CVSS และระดับความรุนแรง
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
The forest firefighting suit consists of the following components and uses: The forest firefighting suit is designed and developed to be suitable for the behavior of the officers and the conditions of the work area, consisting of a shirt and pants. The material used in the sewing of the suit is aramid fabric, which has the property of being able to prevent the spread of fire, to prevent the officers from burning while performing their duties in the event that the forest fire spreads close to them, which is different from the current suits that cannot prevent fires. The shirt is designed with a mesh on the side of the body to release internal heat so that air can circulate well. The sleeves at the elbows have a support point to prevent contact with the ground or obstacles. The collar has a slot for a portable fan and a fan air circulation channel on the back, which can be turned on while performing forest firefighting duties, helping to prevent the body temperature from getting too hot, reducing the risk of heatstroke. When the fan battery runs out, it can be removed for charging and put back in when needed. The pants are designed with mesh on the inside or in blind spots to release internal heat so that air can circulate well. The pants at the knees have a support point to prevent contact with the ground or obstacles. The forest firefighting suit, consisting of a shirt and pants, has been designed and developed to be able to be produced domestically, reducing imports from abroad
คณะวิศวกรรมศาสตร์
The evaluation of mango yield and consumer behavior reflects an increasing awareness of product origins, with a growing demand for traceability to understand how the produce has been cultivated and managed. This study explores the relationship between mango characteristics and cultivation practices before harvest, using location identification to provide insights into these processes. To achieve this, a model was developed to detect and locate mangoes using 2D images via a Deep Learning approach. The study also investigates techniques to determine the real-world coordinates of mangoes from 2D images. The YOLOv8 model was employed for object detection, integrated with camera calibration and triangulation techniques to estimate the 3D positions of detected mangoes. Experiments involved 125 trials with randomized mango positions and camera placements at varying yaw and pitch angles. Parameters extracted from sequential images were compared to derive the actual 3D positions of the mangoes. The YOLOv8 model demonstrated high performance with prediction metrics of Precision (0.928), Recall (0.901), mAP50 (0.965), mAP50-95 (0.785), and F1-Score (0.914). These results indicate sufficient accuracy for predicting mango positions, with an average positional error of approximately 38 centimeters.
คณะเทคโนโลยีการเกษตร
This project involves the development of a plant care system for dormitories using IoT (Internet of Things). The system is implemented through programming on an ESP-32 board and controlled via sensors for automated watering. The commands are operated through smartphones, supporting both iOS and Android. It is expected that this project will make plant care in dormitories easier and more convenient.