KMITL Innovation Expo 2025 Logo

Enhancing the efficiency of in-ear monitors for hearing-impaired musicians

Abstract

Some musicians are hearing impaired, some have finished their careers, but some continue to work, and it is much harder for them to be deaf than for musicians who are not. Some use hearing aids in their daily lives and use in-ear monitors in their live performances, which seem normal, but in their in-ears they only hear the metronome and drums. How can we improve the performance of in-ear monitors to near normal?

Objective

นักดนตรีบางคนที่พิการทางการได้ยิน บางคนจบอาชีพการงาน แต่บางคนยังคงทำงานต่อไปโดยที่หูหนวกนั้นยากกว่านักดนตรีปกติมาก บางคนใช้เครื่องช่วยฟังในชีวิตประจำวันและใช้เครื่องช่วยฟังแบบอินเอียร์ในการแสดง สดซึ่งดูเหมือนปกติ แต่ในอินเอียร์ของพวกเขา ได้ยินเพียงเครื่องเมตรอนอมและกลองเท่านั้น ถ้าพวกเขาสามารถใช้อินเอียร์มอนิเตอร์ในการทำงานได้แต่ยังไม่สามารถทำได้อย่างเต็มประสิทธิภำพเกิดจากอะไรและแก้ไขอย่างไร

Other Innovations

PROBIOGENOMIC ASESSMENT OF THE ABILITY OF THE POTENTAIL PROBIOTIC ENTEROCOCCUS LACTIS RRS4 ISOLATED FROM RAPHANUS SATIVUS LINN TO PROTECT VANCOMYCIN RESISTANT ENTEROCOCCUS

คณะวิทยาศาสตร์

PROBIOGENOMIC ASESSMENT OF THE ABILITY OF THE POTENTAIL PROBIOTIC ENTEROCOCCUS LACTIS RRS4 ISOLATED FROM RAPHANUS SATIVUS LINN TO PROTECT VANCOMYCIN RESISTANT ENTEROCOCCUS

The species Enterococcus lactis is closely related to E. faecium and is known for its beneficial and probiotic effects. In this study, strain RRS4 was isolated from Raphanus sativus Linn. and identified based on both phenotypic and genotypic characteristics. Strain RRS4 exhibited cell viability in environments with 2-8% NaCl, pH ranging from 4 to 9, and temperatures between 4°C and 45°C. Through comprehensive genomic analysis, strain RRS4 was confirmed to be E. lactis. E. lactis RRS4 demonstrated inhibitory effects against Vancomycin-resistant E. faecalis JCM 5803. Safety assessments via in silico methods, including KEGG annotation, indicated the absence of virulent and undesirable genes in E. lactis RRS4. VirulenceFinder analysis aligned virulence-related genes with those from three strains of E. lactis and four strains of E. faecium. While antibiotic resistance genes were found to be conserved, they did not correlate with key pathogenicity traits. Furthermore, safety evaluations highlighted that E. lactis RRS4 is generally safe, despite the presence of genes associated with antibiotic resistance. Lastly, we propose guidelines for assessing the safety of microbial strains using whole-genome analysis. These findings represent advancements in probiotic research.

Read more
Air Rack Cabinet with cooling system to control temperature inside the cabinet

วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม

Air Rack Cabinet with cooling system to control temperature inside the cabinet

Air Rack is a product designed to address businesses with limited space and budget constraints for server rooms, cooling systems, and noise management. This system enables efficient use of IT equipment in open spaces, supporting both On-premise and On-cloud operations. It converts sensor data into digital information and displays it via a Dashboard, allowing users to monitor, analyze, and control the system remotely. Additionally, Air Rack significantly reduces power consumption and the costs associated with traditional server room management.

Read more
Revolutionizing pill identification by using deep convolutional neural network based on widely-used essential household remedy drugs

คณะแพทยศาสตร์

Revolutionizing pill identification by using deep convolutional neural network based on widely-used essential household remedy drugs

This study explores the application of deep convolutional neural networks (CNNs) for accurate pill identification, addressing the limitations of traditional human-based methods. Using a dataset of 1,250 images across 10 household remedy drugs, various CNN architectures, including YOLO models, were tested under different conditions. Results showed that natural lighting was optimal for imprinted pills, while a lightbox improved detection for plain pills. The YOLOv5-tiny model demonstrated the best detection accuracy, and efficientNet_b0 achieved the highest classification performance. While the model showed strong results, its generalization is limited by sample size and drug variability. Nonetheless, this approach holds promise for enhancing medication safety and reducing errors in outpatient care.

Read more