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67 Sound Controlled Smoke Detector
Meng Gao
Xinrui Zhu
Yihao Zhang
Luke Wendt
Almost all of us encounters false fire alarms at some point in our life. Although many modern fire alarms have the ability to mute temporarily with a push of button, the physical location of the smoke detector does not always make it easy to do so.
At the same time, voice controlled products are entering markets, and gaining popularity in recent days. These products, such as Android phones and Amazon Echo, can be activated by keyword such as “OK Google”, ”Alexa”, or “Amazon”.
Therefore, we propose a sound controlled fire alarm that allows you to easily turn the alarm off by shouting the keyword "cooking" when false alarm happens (in addition to a push button). The project will contain two parts: 1) a smoke alarm circuit with carbon monoxide sensor, microphone, mute button, and 2) a DSP core for the key word recognition.
The user will need to train the alarm once, where the DSP will find and store the Mel-Frequency Cepstral Coefficients (MFCCs) for the training word. Then once the alarm is triggered, interrupt will be served to the core through a interrupt pin or a GPIO, and the DSP will actively listen for any keywords, finding the MFCCs for what it hears, and comparing with the stored MFCCs. If the mean square error is below a threshold, the DSP will stop the alarm.
In additional, if we have time, we may also look into Dynamic Time Warping (DTW) to improve our accuracy.

Electronic Automatic Transmission for Bicycle

Tianqi Liu, Ruijie Qi, Xingkai Zhou

Featured Project

Tianqi Liu(tliu51)

Ruijie Qi(rqi2)

Xingkai Zhou(xzhou40)

Sometimes bikers might not which gear is the optimal one to select. Bicycle changes gears by pulling or releasing a steel cable mechanically. We could potentially automate gear changing by hooking up a servo motor to the gear cable. We could calculate the optimal gear under current condition by using several sensors: two hall effect sensors, one sensing cadence from the paddle and the other one sensing the overall speed from the wheel, we could also use pressure sensors on the paddle to determine how hard the biker is paddling. With these sensors, it would be sufficient enough for use detect different terrains since the biker tend to go slower and pedal slower for uphill or go faster and pedal faster for downhill. With all these information from the sensors, we could definitely find out the optimal gear electronically. We plan to take care of the shifting of rear derailleur, if we have more time we may consider modifying the front as well.

Besides shifting automatically, we plan to add a manual mode to our project as well. With manual mode activated, the rider could override the automatic system and select the gear on its own.

We found out another group did electronic bicycle shifting in Spring 2016, but they didn't have a automatic function and didn't have the sensor set-up like ours. Commercially, both SRAM and SHIMANO have electronic shifting products, but these products integrate the servo motor inside the derailleurs, and they have a price tag over $1000. Only professionals or rich enthusiasts can have a hand on them. As our system could potentially serve as an add-on device to all bicycles with gears, it would be much cheaper.

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