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UNIVERSAL GRIPPER

UNIVERSAL GRIPPER
Client  
Professor(s) GINO RINALDI,
Program ELECTROMECHANICAL ENGINEERING TECHNICIAN
Students SUMIT SEHGAL
BALPREET KAUR
PRATHYUSH PERALA

 

Project Description:

 

 

Short Description:

The Universal gripper is a solution for the everyday gripper use which provides a cheap and much more affordable option for gripping objects manually or even by the use of the robotic arm.

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STELLA: A Machine-Learning Speech-to-Text Mobile App

STELLA: A Machine-Learning Speech-to-Text Mobile App
Client Todd Kelley
Professor(s) Jason Mombourquette,
Program Computer Engineering Technology – Computing Science
Students Johnathan Gonzalez
Liang Chu
Robin Saini
Mayank Khera
Nick Sturgeon
Justin Dennison

 

Project Description:

 

Machine Learning is an exciting field of computer science that begins to blur the line between man and machine. By giving a computer lots of real-world data along with the expected results, it can begin to form an accurate idea of how to interpret new data. This is the basis for our transcript-creating application, STELLA (Speech Transcript Extraction and Labelling Linguistics Application).

Our client, Todd Kelley, approached us with an idea for a mobile application that would record a meeting and produce an accurate transcript, including a written account of the spoken text with timestamps and speaker identification. The goal was to improve the efficiency of taking meeting minutes by automating the process.

Machine Learning was an obvious first step in creating our application. A trained algorithm could take recorded audio and translate it into text separated by the individual speakers. We leveraged existing algorithms created by the top minds in the field, such as Google, to form the basis of our application.

In order to increase our developmental efficiency, we used a development framework that allowed us to create both an iOS and Android application from a single codebase, rather than having to create two full separate applications. This allowed us to focus more on the core features instead of having to duplicate everything for the differences between the two platforms.

We integrated user accounts into our application in order to allow users to access their meetings across devices. Users can sign up right from the application to streamline the account creation process. All audio is encrypted in storage to protect the users’ privacy, and meetings can only be accessed by the user who recorded them.

Management of meetings was a big requirement for our application. As with humans, the speech-to-text algorithms do not hear the spoken words accurately 100% of the time, and so the ability to edit any mistakes is a must. Within a meeting, users can edit individual entries and set the names of the identified speakers.

When viewing a meeting, viewers can play back the original recorded audio. This allows a reference to the source in order to verify any potential discrepancies. While playing the audio, the current entry associated with that timestamp will be highlighted to easily follow along.

Users can also share a meeting using the mobile device’s native sharing features. This includes text messaging, email, or even just saving to a text file. Speakers, timestamps, and spoken text are included in the shared meetings.

We believe that this application has the potential to greatly increase the efficiency of creating written records of meetings. Along the way, our team learned a great deal about developing mobile applications and working with Machine Learning.

 

Short Description:

STELLA (Speech Transcript Extraction and Labelling Linguistics Application) is a mobile app developed to ease taking meeting minutes by utilizing machine learning to identify and decipher spoken audio. It allows management and sharing of meetings.

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STELLA: A Machine-Learning Speech-to-Text Mobile App STELLA: A Machine-Learning Speech-to-Text Mobile App
STELLA: A Machine-Learning Speech-to-Text Mobile App STELLA: A Machine-Learning Speech-to-Text Mobile App
STELLA: A Machine-Learning Speech-to-Text Mobile App STELLA: A Machine-Learning Speech-to-Text Mobile App

 

 

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Focused Infrared fire extinguishing system

Focused Infrared fire extinguishing system
Client
Professor(s) Prof. Gino Rinaldi,
Program Electro-Mechanical Engineering Technician
Students Mohit Patel
Harmanpreet Singh
Isaiah Bookhout

 

Project Description:

 

FIRES is a system which uses Omron Infrared sensor to detect fire in a room. Whenever a fire initiates the source of fire is often small and these are called hot spots. Our Omron sensor will detect these source of fire (hotspots) and a nozzle which sprays water (or other fire extinguishing fluid) on these hotspots and extinguishing the fire even before it has time to spread.

 

Short Description:

Our project is called the FIRES
It stands for Focused InfraRed fire Extinguishing System

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POPTikR

POPTikR banner image.
Client Kamal Dhanoa
Professor(s) John Kozodoj,
Program Interactive Media Design
Students – Mardig Bandek
– Oliver Rojas
– Marwa Younes
– Kunal Puri
– Smiledeep Sandhu
– Rohankumar Ahir
– Parwinder Singh
– Megane Simo

 

Project Description:

 

 

Short Description:

POPTikR is a retail tech and business marketing platform with over 15+ years of experience looking for promotional videos to use on the launch of their app.

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POPTikR ad 1. POPTikR ad 2.
   
   

 

 

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TRD Armor And Plow

TRD Armor And Plow
Client PIYUSH_BADRESHIYA
Professor(s) GINO_RINALDI,
Program EMET
Students TAREK MOHAMMED
PIYUSH BADRESHIYA
JAGJOT SINGH

 

Project Description:

 

 

Short Description:

 

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Project Orange Lens

Project Orange Lens

Client Deanna Cormier
Professor(s) Reginald Dyer,
Program Computer Programming
Students May Aboalrejal​

Svetlana Dukkardt​

Khushboo Khushboo​

Tejus Revi​

Badriah Watt​

Project Description:

Deanna Cormier has been using a Facebook page for booking and updates, as well as Instagram for portfolio and gallery updates. However, in addition to having a social media presence she would like a professional website that will merge all functions into a single location. Our task was to make a website that included functionalities such as a calendar that displayed her current commitments and potential bookings, allows customers to book through the site, have her portfolio displayed through an online gallery, an “About Me” section, as well as social media links. We also added testimonials and photo highlights. This website now encompasses all the requirements from the client as well as all the features needed to stand out as a professional photography website.

Short Description:

The creation of a professional website that merged booking, portfolio, and customer experiences into one location.

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Project Orange Lens Project Orange Lens
Project Orange Lens Project Orange Lens

 

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BlitzTech – RCMPODVA

BlitzTech - RCMPODVA

Client Ed Strange
Professor(s) Todd Kelly,
Program Computer Engendering Technology – Computing Science
Students James Keir
Jason MacFarlane
Harrison Lee
Jarrod Mason
Daisy Rani Gupta
Eric Cousineau

Project Description:

The purpose of this report is to detail the extent to which Blitz Tech has accomplished within three months on the RCMPODVA website and app. The objective of the website was to reduce the dependence on php so that it would be easier for someone with no coding experience to update the website (https://ottawadivisionvaweb.site). The objective for the app was to be able to provide information about Ottawa veterans.

Short Description:

Convert a complex PHP-based website into a a format that is simple to maintain and to create a cross-platform mobile app to facilitate delivery of news, updates, and events to interested users.

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BlitzTech - RCMPODVA BlitzTech - RCMPODVA
BlitzTech - RCMPODVA BlitzTech - RCMPODVA

 

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The Performance Characteristics of PEX Hot-Water Systems

The Performance Characteristics of PEX Hot-Water Systems

Client Uponor Ltd.
Professor(s) Dr. Ali Elwafi, Dr. Maria Parra / Dr. Federico Fernandez
Program Building Science
Centre Manager:
Dr. Theodore Mirtchev

Investigators:
Dr. Ali Elwafi (Principal Investigator)
Dr. Maria Parra (Collaborator Professor)
Dr. Federico Fernandez (Collaborator prof.)
Mrs. Marialuisa Arnal
Mr. Karl Murray (Research Assistant)
Mr. Michael Stevens (Research Assistant)
Mr. George Zanetti (Research Assistant)
Mr. Leandro Carandina
Mr. Simon Hunt (Research Assistant)

Uponor Team
Mr. Kevin Wong (Canadian Codes Manager)
Mr. Craig Bradfield (Director of Marketing)
Mr. Joey D’Addese (Construction Services Supervisor)
Mr. Rene Paris (From klimar Agency)

Valuable Contributors
Mr. Alexander Yang (CRC Manager)
Mr. Shane Barteaux (Technologist)
Mr. Eduardo Milito (Professor)
Mr. Ramzija Sabotic (Senior Technologist)
Mr. Nicholas Boudreault (Technician B)

Project Description:

The project impacts advancement of propagating energy and water efficient piping system by helping the industrial partner validate the superior performance of new technology—both quantitatively and qualitatively. In particular, the project is enabling College students and professors to perform a range of applied research activities to test, categorize, and benchmark the performance of the company systems against conventional piping materials and their associated installations. The industrial partner has particular interest in assessing energy efficiency, thermal comfort, water quality and usage efficiency, regulatory compliance, product life-time, ease of installation, and ease of maintenance of its systems. The project will accomplish this by using scale models, full-scale test systems, and computer simulations. The ultimate aim of the project is to help our industry to understand the superiority of PEX technology.

This project is divided into three phases with the following objectives:

Phase I: Actual Installation for Hot Water Delivery (HWD) System: HWD system designed and built specifically to investigate water delivery time, water volume waste, water-flow and zero-flow heat loss, as well as the overall energy efficiency of the system. The 30.48 m (100 ft) real-life test system was developed to imitate the layouts and sizes that would be found in a residential condominium installation using Uponor’s PEX pipes, commercially available fittings and outlets to ensure that the data obtained is as consistent with real-world practices as possible.

The results showed UA values for flow condition heat loss and estimates of cooldown times for zero-flow conditions. In addition, the activation of the re-circulation system reduced the usable hot water delivery time by approximately 84% and consequently reduced the wastewater volume by about 76 %. These results suggest that the test systems and methodology that have been created for this project phase is able to provide realistic and accurate results.

Phase II: Hydronic heating system: Installation for hydronic heating system with a renewable energy source zone control for a typical space where measurable such as actual energy use, occupant comfort, insulations, optical windows with different renewable energy source can be evaluated.

Phase III: Preparation, surface engineering and material optimisation

1. Preparation: Securing the technical requirements and necessities including developing design experiment methodologies, standards, and weather data for the entire project.

Experimental work: Developing small scale models and metallographic preparation for samples to evaluate PEX surfaces, insulations and walls composites prior to and after being introduced to the thermal and environmental conditions.

2. Numerical Simulation: Creating Finite element models, using Ansys™ to test the response of the surfaces to mechanical scratch, mechanical indentation, freeze- thaw cycle prior to and after being exposed to the thermal and environmental conditions.

The project is funded by NSERC and the industrial partner (Uponor Ltd.) contributing cash and in-kind annually to this project for three years. Uponor is the world’s largest manufacturer of PEX piping with 100 years of expertise in piping and home building. This project is one of only four ARD-2 grants in Algonquin College’s history

Short Description:

The 3-year Uponor-Algonquin College project investigates the performance characteristics of water piping systems utilizing Uponor PEX (Cross-Linked Polyethylene) pipe. This project focus on hot water delivery and hydronic heating systems.

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The Performance Characteristics of PEX Hot-Water Systems The Performance Characteristics of PEX Hot-Water Systems
The Performance Characteristics of PEX Hot-Water Systems The Performance Characteristics of PEX Hot-Water Systems
The Performance Characteristics of PEX Hot-Water Systems  

 

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Cheetah Networks PulseView™ Solution

Cheetah Networks PulseView™ Solution

Client Cheetah Networks
Professor(s) Theo Mirtchev,
Program Data Analytics Center at Algonquin College
Students Ryan Arreola
Shuting Yang

Project Description:

The Cheetah Networks PulseView™ solution provides actionable, real-time, edge-to-cloud analytics for heterogenous loT network infrastructure. It delivers unprecedented visibility into the quality of experience of machines and users at the edge of the network. It allows users to have real-time visibility into the service or application experience, giving the user timely data to pre-empt and resolve network issues before they impact service. The PulseView™ solution also provides predictive analytics to forecast application needs and trends.

Our research for PulseView™ was split up between the front-end development for the user dashboard and outage maps design and functionality (Shuting), and the back-end development for network data collection, analysis, and aggregation (Ryan).

It is imperative for the PulseView™ solution to have a clean, stable, and highly functional UI that displays critical QoE and outage information to the customer. Shuting has aided Cheetah Networks immensely in meeting those critical needs during her time as a software engineer and research assistant.

What makes the PulseView solution unique from other network analytics software is its ability to provide real-time visibility and analytics of QoE from edge-to-cloud on a network. Ryan has been researching and developing the real-time data collection and aggregation components of the PulseDirector™ since September 2020 as a Cheetah Networks software engineer and research assistant.

During our time as software engineers and research assistants for Cheetah Networks, we learned many valuable lessons in engineering, design, initiative, and teamwork.
The development of large-scale and cutting-edge software is multi-faceted and being faced with the challenges that come with the rapid growth at Cheetah Networks is not an easy task. As students seeking to hone our craft, we had the opportunity to grow under pressure and under tremendous circumstances. We have learned and applied:
– Software design specification/review process
– Integration of new components with an existing and rapidly growing software
– Full-stack web development
– Networking protocols and standards
And much more through the guidance of our mentors and their trust in us to achieve and persevere through these challenging times.

Our progress with this research project has gone very well and we are looking forward to continuing our work on the future of network analytics with Cheetah Networks.

Short Description:

The CN PulseView™ solution provides actionable, real-time, edge-to-cloud analytics for heterogenous IoT network infrastructure, delivering unprecedented visibility into the quality of machines and users at the edge of the network.

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Cheetah Networks PulseView™ Solution Cheetah Networks PulseView™ Solution
Cheetah Networks PulseView™ Solution Cheetah Networks PulseView™ Solution
Cheetah Networks PulseView™ Solution Cheetah Networks PulseView™ Solution

 

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SLiDE Fall 2020

SLiDE Fall 2020 banner image.

Client Just Food / Wabano Fine Chocolates / Hidden Harvest
Professor(s) Kevin Holmes,
Program SLiDE / Social Innovation Lab
Students Molly Drinnan, Suhir Maghuor, Tori Sheen, Trevor Siu, Alexei Tipenko, Michaela Trottier

Project Description:

Our team has worked remotely with three local non-profit organizations to accelerate the slide into change. For Hidden Harvest (green), we evolved their website to guide their volunteers and connected them over social media with their users. For Just Food (multi-coloured earth tones), we developed a series of logos, designed an illustrated orientational map, and created a website for their new rental spaces to generate revenue that will continue to fund their initiatives. And for Wabano Fine Chocolates (colour-blocked rainbow), we established a brand image on social media, crafted a colourful logo, and launched a Shopify storefront to feed the world bite-sized culture. With the generous support of ICTC and IBM, we, as students, are able to gain valuable experience all while making contributions to the social sector in our community here in Ottawa. By supporting one, we support many. We are strong like a drum, eager like a violin, and innovative like the electric guitar. We inspire each other to compose great work. We are in tune with the world around us. We adapt our individual ways to create harmony. And we celebrate our victories triumphantly with emoji reactions over Zoom. We are SLiDE.

Short Description:

For Hidden Harvest, we evolved their website. For Just Food, we created a series of logos, an illustrated map, and developed a website. For Wabano Fine Chocolates, we created a brand image on social media, a colourful logo, and a Shopify storefront.

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SLiDE Fall 2020 project team. Just Food project.
Just food website redesign. Hidden groves website redesign.
Indigenous chocolate company website build.

 

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