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Planted filter with Golden apple snail&Green caviar

Abstract

The reason of this project is How to make water system during breeding Golden apple snail&Green caviar with limitation area. Make sure that waterfowl system can work

Objective

ต้องการสร้างระบบน้ำและเลี้ยงสัตว์น้ำในพื้นที่ที่มีจำกัด

Other Innovations

OPTIMIZATION OF CONCENTRATED BUTTERFLY PEA EXTRACT PROCESS

คณะวิศวกรรมศาสตร์

OPTIMIZATION OF CONCENTRATED BUTTERFLY PEA EXTRACT PROCESS

This thesis project was conducted to identify the optimal conditions for producing concentrated butterfly pea juice using vacuum evaporation to preserve key compounds in butterfly pea flowers, such as anthocyanins—natural pigments with high antioxidant properties. The study applies a Box-Behnken Design, a statistical method that facilitates analysis of multiple factors. The research focuses on the ratio of dried butterfly pea flowers to water, extraction temperature, and evaporation temperature, each of which has a direct effect on the preservation of key compounds, color, aroma, and flavor. The results indicate that using a dried flower-to-water ratio of 1:15, an extraction temperature of 60°C, and an evaporation temperature of 40°C under low pressure can minimize the loss of essential compounds and best retain the properties of the concentrated butterfly pea juice. Findings from this research provide a foundation for developing an industrial production process for concentrated butterfly pea juice and enhance the potential for creating new products from butterfly pea flowers.

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CLASSIFICATION OF OTITIS MEDIA TYPE USING OTOSCOPIC IMAGES

คณะวิทยาศาสตร์

CLASSIFICATION OF OTITIS MEDIA TYPE USING OTOSCOPIC IMAGES

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.

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DEVELOPMENT OF CURCUMIN DOUBLE-WALLED BEADS COLORIMETRIC SENSOR FOR DETERMINATION OF PYRIDOXINE (VITAMIN B6) IN DIETARY SUPPLEMENT WITH DETECTION BY IMAGE PROCESSING

คณะวิทยาศาสตร์

DEVELOPMENT OF CURCUMIN DOUBLE-WALLED BEADS COLORIMETRIC SENSOR FOR DETERMINATION OF PYRIDOXINE (VITAMIN B6) IN DIETARY SUPPLEMENT WITH DETECTION BY IMAGE PROCESSING

A smartphone-based colorimetric sensor for quantitative detection of pyridoxine (Vitamin B6, VB-6) in functional drink samples has been realized by developing double layer hydrogel. Electrostatic interaction initiates the cross-linking and produces double layer hydrogel.

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