Word Segmentation in Handwritten Documents Using Genetic Programming

Word segmentation in handwritten document is a difficult task because inter-word-spacing (i.e. the space between parts of the same word) is sometimes wider than the intra-word-spacing (i.e. the space between two consecutive words). Many different approaches to segmenting words have been proposed so far. However these segmentation approaches usually use some parameters that are manually tuned; meaning that they do not take into account the properties of the document in order to automatically calibrate the parameters.

Research topics in oil lubrication for aircraft gas turbine engines

All mechanical systems with moving parts face a serious challenge due to the friction phenomena that occurs at the interface of the two relative moving surfaces. The effect of friction which is the slow degradation of the surfaces in contact could be significantly reduced through lubrication. Although a significant number of investigations have been carried out on friction phenomena, there is a limited academic interest into the implementation of the findings to real word. The present set of stages is all directed towards the implementation of such findings.

Developing highly sensitive biosensors for MRSA bacterial detection

Nosocomial infection is a growing problem in Canadian hospitals, these bacteria can kill as many as 8,000 patients per year, and the expenses reach at least $100 million annually. Clostridium difficile (C. difficile) and methicillin‐resistant Staphylococcus aureus (MRSA) are among the most common bacteria. For example, C. difficile has killed more than 600 people in Quebec alone between 2003 and 2005. The control of the spread of bacteria to multiple patients in hospitals and the efficacy of treatment will be improved with early detection of bacteria.

Keywords Detection in Handwritten Documents

The long-term aim of this project is to develop techniques and software for the processing of unconstrained handwritten documents. The short terms goals are 1) the enhancement, “de-noising” and removal of artifacts in degraded digital handwritten document images, 2) text-lines and words segmentation independent of scripts or symbols and 3) identification of a small set of keywords in handwritten document images for document classification, retrieval or other purposes.

Design of Linear-Phase Mirror-Image Symmetric Filter Banks for Image Compression Coding

The discrete cosine transform (DCT) has widely been used in image and video compression coding. However, the conventional DCT causes severe block artifacts in the compressed image in low-bit-rate coding applications. The block effect is perceived as visible discontinuities cross the block boundaries. Many researchers have proposed other techniques, such as the filter bank approach, to remove or suppress this undesirable feature.

Building on the Understanding of Business Processes Related to Service Provisioning and Service Assurance at Bell Canada

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.

Global Warming Catastrophes Impact on Insurance

Scientists believe that global warming will trigger increasingly more frequent and violent storms, heat waves, flooding, tornadoes and cyclones in some areas of the globe, while other areas will slip into cold or drought. Although the effects of climate change will impact every segment of the business community, the insurance industry is especially at risk. Extreme weather events in past years have caused tens of billions of dollars in losses for insurers.

Estimation of Joint Distribution from Marginal Totals with Applications to Database Marketing

In many customer surveys and database marketing applications such as segmentation, profiling and predicting consumers’ choices, the joint distributions of covariates of interests are required. However, for variety of reasons, such as protection of clients’ confidentiality, the data are often available only in marginal frequency distribution format. This makes it difficult to use the covariates in a meaningful way where joint distributions are required for analysis decision making.