A personal voice assistant is the software that
can perform task and provide different services to the
individual as per the individual’s dictated commands. This is
done through a synchronous process involving recognition of
speech patterns and then, responding via synthetic speech.
Through these assistants a user can automate tasks ranging
from but not limited to mailing, tasks management and media
playback. As the technology is developing day by day people
are becoming more dependent on it, one of the mostly used
platform is computer. We all want to make the use of these
computers more comfortable, traditional way to give a
command to the computer is through keyboard but a more
convenient way is to input the command through voice. Giving
input through voice is not only beneficial for the normal
people but also for those who are visually impaired who are
not able to give the input by using a keyboard. For this
purpose, there is a need of a voice assistant which can not only
take command through voice but also execute the desired
instructions and give output either in the form of voice or any
other means.
Our tool is a simple ukulele, the instrument of choice among those who want to pursue a hobby in music, yet don't have the money to shell out on a full guitar or piano. With such versatility, we saw the ukulele as an opportunity to shift the statistic and increase people's opportunities to play music. The plan was to place LED's in the fretboard of the ukulele that would indicate where the user should place their fingers in order to strum the proper chord. Then using the Arduino IDE and some piezo-sensors, the ukulele would be able to recognize chords and check to see if they were played correctly.Toying with the intersections of Arduino, SolidWorks, and our own creativity, we constructed a ukulele using laser-cut wood and 3D-printed plastic parts. We soldered LEDs to the fretboard, attached commercial ukulele strings, and connected it to a circuit board made of breadboards, jumper cables, and integrated circuits. Our final product is something that not only innovates along the intersection of music and engineering but can also be used in the real world to help real people garnering positive feedback from users. Although this is still just an initial prototype, there are many enhancements that could come from this idea, including additional methods to input chords, preset songs, and even a more acoustically accurate instrument that could come in various sizes.
For induction, machine-based configuration, the model predictive control scheme, power converter based renewable system is presented in this paper. The PV system is proposed to provide an input source for the model predictive control (MPC) based system. The control method predictive is used based on vector control. According to this, the drive system behaviour of the fault-tolerant capacity is enhanced. The ZETA converter is proposed to improve the system input source, which fed on the PV system. The proposed ZETA converter is used to increase the DC link voltage of the system. The motor’s speed and torque can be controlled by the model predictive control method based on vector control. The results of the proposed system are obtained and verified using the MATLAB/Simulink.
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