Page 98 - Undergraduate Research Opportunities Program Proceedings 2017-18

School of Engineering
Department of Mechanical & Aerospace Engineering

Fly-over Noise Measurement on Campus

Supervisor: HUANG Xun / MAE
Student: LEUNG Kai Lok / MAE Course: UROP1100, Spring

The aircraft noise is usually regarded as one of the major environmental impact of the aviation industry. A large numbers
of research have been conducted in the aeroacoustics area to study the aircraft noise in term of decibel metric (dB),
while a few numbers of research focus on the acoustic feature of aircraft noise. Regarding to the niche, this research
aims to use a machine learning approach to study the acoustic feature of aircraft noise. At first, sufficient numbers of
labeled aircraft noise sample will be collected and will be analyzed with mel frequency cepstral coefficients (MFCCs)
analysis to extract its corresponding acoustic features. After the preliminary analysis and pre-processing, these labeled
samples and their corresponding normalized MFCCs spectrum will be used to train and build up neural networks. The
trained neural networks is expected to be able to summarize the acoustic features of aircraft noise and be able to
distinguish the noise produced by the corresponding aircraft.

Development of Low-cost Smartphone-based Microscope for Global Health

Supervisor: LEE Yi-Kuen / MAE
Student: CHAU Long Hei / MAE Course: UROP1100, Summer

As the use of smartphone-related electronics becomes more popular, the cost for acquiring such tools becomes lower
and the quality of images captured improves significantly. This could benefit the development of low-cost smartphone-
based microscope, and in turn improve the health care in resource-poor environments by providing diagnosis of diseases
such as malaria and tuberculosis. Three mobile phone microscopes were reviewed in the report, as well as a student-
designed fluorescence microscope prototype. The background and physical structures of each design were studied. The
student-designed prototype was then evaluated according to its cost and portability, as compared to the
aforementioned designs.

Robot-Assisted Biomedical Experiments to Speed Up Low-Cost Cancer Diagnosis: Hardware Track
Supervisor: LEE Yi-Kuen / MAE
Student: KIM Eunyoung / MAE Course: UROP1100, Fall

Metastasis, as a major cause of death for cancer patients, can be detected with CTC chip blood analysis. To provide an
inexpensive and relatively fast cancer diagnosis system, this paper presents modified designs for syringe and syringe
pump cages of a robotic automation to conduct the cancer diagnosis. With implementation of a hybrid linear actuator
for a syringe pump mechanism, the vertically oriented opening with slider locking mechanism were applied for the ABS
based cage design.

Low-cost Wireless Arduino-based Micro Energy Sensor for Smart Energy-Efficient Buildings in the era of Internet of
Things
Supervisor: LEE Yi-Kuen / MAE
Student: LUO Yijun / MAE Course: UROP1100, Fall

Robots have been improving people’s daily life and been making considerable contributions to scientific research,
especially making the exploration of places, which is difficult or even impossible for human-being to go, possible, the
ocean, whose vastness implies the uncertainty of research work in it, for instance. Hence, the portable maritime robot is

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