Subtitles are typically generated postproduction and might be mis-aligned with the audio track. Alignment of subtitles to audio is a task which aims to produce accurate timings of the words within a subtitle track given a corresponding audio track. The alignment task is of significant relevance to Bell media. Semi–automated solutions exist, and they involve different degrees of human involvement in post-edit. Automatic subtitle alignment will reduce production time and human labor costs. This research project will look at automating the subtitle alignment.
Bell Media receives content from different providers, including content it produces in-house. There are standards for tagging audio tracks with metadata however many facilities (including Bell) do not adhere to these standards. Currently Bell uses a manual approach to classify unlabeled audio tracks, which is inefficient, and time consuming for massive digital media that Bell has and receives. Bell is developing a single ingest pipeline to accelerate the labeling and processing of media files it receives.
This research will focus on the design of 5G networks to provide for future wireless services include the use cases of Enhanced Mobile Broadband (eMBB), Massive Machine Type Communication (mMTC), and Ultra-reliable and Low Latency Communications (URLLC), and application area use cases such as Smart City, Smart Home/In-building, Augmented Reality, Self-Driving Cars, etc. 5G Technology has been standardized according to a broad framework in terms of the format of the transmitted wireless signals and the basic protocols including its compatibility with LTE networks.
The objective of this project is to contribute a quantitative framework for analyzing potential inefficiencies of current practices at Bell Canada in the early stages of telecommunication service provisioning, particularly pre-sales and network request sub-processes. Models of these processes incorporating randomness are to be estimated from past data and utilized as a basis for efficiency improvement using both simulation and analytical optimization tools.
The main goal of this project will be a key contribution to the implementation of the Six Sigma methodology to the service provisioning and service assurance of Bell’s business customers. Six Sigma is an organized and systematic problem-solving method for strategic system improvement and new product and service development. It relies on statistical methods and an approach which dramatically reduces customer-defined defect rates and/or improves key output variables. This methodology will be used to reduce costs and increase profits.
Considering the introduction of new network services such as high definition television over the internet protocol (IPTV), new technologies should be introduced and planned in the Bell’s access network to improve the access rate. In this project, to maximize the profitability of the network infrastructure, we propose to explore an access network evolution model (a mixed integer mathematical programming model) to help the network engineers to plan Bell’s access network considering the demand over the time and the introduction of new services.
The goal of this internship project is to optimize Bell Canada’s network engineering processes to better support the complexity of the company’s network technologies. In this project, to maximize network flexibility and scalability and to minimize the costs, the intern proposes to explore an innovative modular approach for network engineering. Each module will have specific network functions and configurations with the objective of minimizing design and network management costs. It would be then possible to design custom networks for specific clients rapidly with standardized modules.
Distributed Denial of Service (DDoS) attacks are widely regarded as a major threat to the Internet because of their ability to make a service unavailable and create a huge volume of unwanted traffic. Unwanted traffic control is one of the most important challenges of Bell Canada. Current countermeasures cannot assure higher quality of service under a tremendous increase in unwanted traffic.
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