Visualization of IoT signals and optimization of sampling rate using machine learning

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. In addition, the transmission errors and malfunction of devices also necessitates checking the reliability/veracity of incoming data. The volume, velocity, and veracity are three Vs that are commonly describe in the big data context. Creating a meaningful real-time visual summary of the sensor data streams for the operators is an important research problem.

A fuzzy logic based alert propagation system for temporal tracking of clinical samples

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of clinical sample collection and management is performed manually. This makes the operation error prone and limits its scalability.

An investigation of the effectiveness of competency-based management implementation

Competency-based management (CBM) is an approach to human resource management (HRM) that has grown in popularity over the years. CBM involves objectively defining the necessary competencies (defined as job-related knowledge, skills, abilities, and other attributes) to effectively perform a job, then integrating this framework into the organization’s HRM processes. While this approach makes sense in theory, there is little hard evidence available about its effectiveness for organizations.

Integration of microbiological and geochemical tools for de-risking oil and gas exploration along the Scotian Margin

This Mitacs project will enable two MSc students the opportunity to work with the Offshore Energy Research Association and their partners with the Nova Scotia Department of Energy to produce an ArcGIS product and seismic-based model of seep architecture for petroleum exploration of the offshore Nova Scotia margin. These projects will relate newly created genomic and lipidomic data that is expected to help de-risk offshore exploration efforts. The Interns will use these data to produce maps and 3D models of the seeps

Classification of human activities and detection of behavioral anomalies using thermopile sensor and machine learning

Impending increase in senior population in developed countries is expected to overwhelm the health care system carry a significant social and economic cost. Number of solutions, that leverage ambient intelligence, have been proposed to help aging in place. HomeEXCEPT is working on a non-intrusive solution using a temperature sensor. The research will help in identification and classification of human activities, including fall detection. It will also help in uncovering patterns in daily activities of an individual and in identification of deviations from the usual behavior.

Environmental testing of existing and proposed ropeless fishing system line management methods

The proposed research will examine differences amongst existing and potential alternatives for storing retrievable buoy line/rope on the ocean floor in ropeless fishing systems. Prior research has yet to evaluate respective strengths and weaknesses of alternatives (i.e. spooling, coiling, bagged). The proposed research will test the various methods of rope containment at varying depths and water conditions. It is predicted that loose coiling methods may become tangled and unreleasable in strong underwater currents/tides.

Disturbance thresholds and factors influencing community dynamics of epiphytic cyanolichens in Nova Scotia, with an emphasis on rare and at-risk species

The coastal wet mixedwood forests of Nova Scotia are globally important for lichen biodiversity, but several lichen species are now declining or endangered. This is concerning for forest managers, because forest companies may be subject to penalties if they inadvertently destroy the habitat of an endangered species. The causes of lichen declines are not fully understood, but hypotheses include forest harvesting, acid deposition (from SO2 emissions), and grazing pressure from slugs.

Searchable Social and Environmental Impact Measurement Database

Stakeholders from all business sectors are increasingly looking to businesses to address pressing social and/or environmental issues. Co-operatives are facing the same challenges, and must also use non-financial indicators to demonstrate their co-operative difference.
The purpose of this project is to develop a web-based searchable database of existing tools and frameworks to measure social and environmental performance of business and enterprises.

The Functional Resilience Question-AIR: Validation of an assessment tool designed to measure employee resilience

The purpose of this research is to validate the Functional Resilience Question-Air (FRQ; Kinley, 2016), an assessment tool based on scientific principles that use the latest research on resilience and neuroplasticity. Specifically, the Functional Resilience Question-Air identifies employees’ personal strengths, providing them with a global resilience score as well as a personalized development plan.

Dynamic clustering of temporally incremental energy consumption patterns in a knowledge cloud

This project will develop a new mechanism for grouping objects in a dynamic environment, where new objects are regularly added with limited or incomplete information. Furthermore, the information about the existing and new objects increases over time. This new grouping mechanism will be called dynamic clustering of temporally incremental patterns. The proposal will be tested using energy consumption patterns for a large number of buildings. The types of the buildings will vary based on their usage such as office buildings, warehouse, shopping malls, hospitals, educational institutes, etc.