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Real time mosquito counter by ripple detection system

Abstract

The designing of mosquitoes counting system instrument is presented in this work. The mosquitoes that were counted died in order not to measure duplicate counting data. As soon as the input source counting machine can detect the mosquito, the single trigger signal is transmitted to the IOT system to interrupt the server immediately. The number of real mosquito is not transmitting to the IOT but only a signal to interrupt the server. The server records the number of the interrupt signal with real-time clock. Then the interrupt information will be further handled. The front end counting machine consist of the high voltage generate with the suitable voltage value and electrode distance for the required mosquitoes size. The low trigger pulse signals of the mosquitoes killed by high voltage are sending to the controller unit. Immediately, interrupt counting signal of the number of mosquitoes is sent to the big stream data collection on IOT system by the time stamp technique. Form the measurement results, 10 live sample mosquitoes in a limited space box to fly though the counting machine show that the count results are 100% correct count.

Objective

ประเทศไทยประสบกับปัญหาการแพร่ระบาดของโรคที่มียุงเป็นพาหะนำโรคมานาน เช่น ไข้มาราเลีย โรคไข้เลือดออก โรคเท้าช้าง เป็นต้น โรคไข้เลือดออกถูกพบขึ้นครั้งแรกในประเทศไทยในปี พ.ศ. 2492 ข้อมูลรายงานสถานการณ์โรคไข้เลือดออกตั้งแต่ปี พ.ศ. 2558 ถึงปี พ.ศ. 2563 พบว่ามีผู้ป่วยสูงสุดในปี 2562 ซึ่งพบผู้ป่วยสูงถึง 18,105 รายโดยภาครัฐไม่ได้นิ่งนอนใจเกี่ยวกับปัญหาที่เกิดขึ้นและได้ทำการสนับสนุนนวัตกรรมที่จะเข้ามาช่วยจัดการกับปัญหาดังกล่าว

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A Cold Cover for Raw Milk Transportation

คณะวิศวกรรมศาสตร์

A Cold Cover for Raw Milk Transportation

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คณะวิทยาศาสตร์

Genomic analysis, Bacteriocin dynamic production of putatively novel bacteriocin DCR3-2 inhibiting Listeria monocytogenes synthesized by Lactococcus lactis subsp. hordinae DCR3-2 isolated from Thai pickled crab (Pu-dong)

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Decoding the Impact of RGL3 Genetic Variants on Protein Structure and Binding Site: A Bioinformatics Approach to Uncover Potential Hypertension Associations

คณะแพทยศาสตร์

Decoding the Impact of RGL3 Genetic Variants on Protein Structure and Binding Site: A Bioinformatics Approach to Uncover Potential Hypertension Associations

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