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University of Saskatchewan's Repository for Research, Scholarship, and Artistic Work

Welcome to HARVEST, the repository for research, scholarship, and artistic work created by the University of Saskatchewan community. Browse our collections below or find out more and submit your work.


Recent Submissions

School Food Programs in Canada: 15 Promising Cases
(University of Saskatchewan and Coalition for Healthy School Food, 2024-05-24) Ruetz, Amberley; Michnik, Kaylee; Engler-Stringer, Rachel; Alaniz Salinas, Natalia; Doyle, Emily; Kirk, Sara; Korten, Dana; Tasala, Kirsti; Levkoe, Charles; Martin, Alicia; Mercille, Genevieve; Heckelman, Amber; Smith, Chrissy; Renwick, Kerry; Sallans, Alissa; Ostertag, Sonja; Skinner, Kelly; Trask, Nina; Weber, Nicole; Hoyer, Gary; McKenna, Mary
Since 2019 when the Government of Canada announced it's intention to create a National School Food Program, school food advocates across the country have underscored the need for documenting the effective, existing school food models from around the country. This report, "School Food Programs in Canada: 15 Promising Cases," fills a critical knowledge gap by detailing 15 innovative school food programs representing each of the provinces and territories. Canadian communities have developed diverse, sustainable, school food initiatives supported by various funding sources, staffing models and levels of infrastructure. These programs exemplify best practices that can be replicated nationwide. This report serves as the first installment in a series aimed at providing a comprehensive how-to guide for developing school food programs tailored to the Canadian context, offering valuable insights into the operational details, cost models, and scalability of these initiatives.
Plot Detection in Sequential Crop Field Images using Deep Learning
(2024-05-24) Norbu, Phuntsho; Stavness, Ian; Eramian, Mark; Gutwin, Carl
Plant phenotyping, essential for understanding plant growth and development, is hindered by its resource- intensive nature. Recent advancements in non-destructive imaging techniques, particularly remote sensing and proximal sensing, have revolutionized plant phenotyping by enabling high-throughput data collection. However, challenges persist such as the laborious preprocessing demands. This thesis addresses the pre- processing challenge, particularly of selecting centered plot images from overlapping sequential plot images. Leveraging two deep-learning models, an image classification model (ICM) and a video summarization model (VSM), we show the potential of such models to automate this selection process. ICM approaches the task as a classification problem, while VSM adopts a video summary perspective to extract key frames representing centered plots. Both ICM and VSM, trained on a dataset comprising 78,420 canola plot images spanning two different years achieve a notable F1 score of 0.81. Our findings also reveal the robustness of these models to common data collection anomalies, including repeated images and a shuffled dataset where the sequential nature of the images is disrupted. This resilience underscores the practical utility of the models in addressing challenges inherent in real-world plant phenotyping scenarios. Additionally, to streamline the image selection process, we introduce PlotReel, a web application that allows quick sequential crop-field image selection. By predicting and seamlessly navigating to subsequent centered plot/row images based on regular spacing and constant camera speed, PlotReel simplifies the image selection process, saving users from manually sorting through overlapping and redundant images.
The School Food Development Project: Lunch Lessons Learned
(Saskatchewan Population Health Evaluation Research Unit, 2024-04-30) Foster, Stefanie; Shakotko, Tammy; Quinn, Shay
The School Food Development Project explored the design and implementation of culturally-appropriate school food programs (SFPs) with Indigenous schools and communities. Partnered with nine Meadow Lake Tribal Council (MLTC) Education schools and three Saskatoon Public (SPS) schools the research team explored strengths and challenges of existing programs; worked with schools to design interventions and initiatives that would strengthen/grow breakfast, lunch and snack programs and increase the amount of food literacy learning happening in classrooms. The Lunch Lessons Learned report acts as a capstone for the project and offers some short case studies, practical recommendations for improving SFPs and links to resources to help schools and agencies along their school food journey. The School Food Development Project was funded by the Public Health Agency of Canada (PHAC)'s Healthy Canadians and Communities Fund. The Lunch Lessons Learned report was funded by Network Environments for Indigenous Health Research (NEIHR).
(1970-08) Jain, Adarsh V.; Billington, R.
This thesis examines the application of probability methods to the determination of spinning reserve requirements in a practical system. The uncertainty in load forecasting, the possible derated levels of large generating units, the availability of rapid start generation and the assistance available from the interconnection facilities are some of the important factors which affect the spinning reserve requirements. Existing theoretical concepts have been extended to include these elements in any spinning reserve study. A digital computer program has :been developed which incorporates these factors in the evaluation of a quantitative risk index. The effects in a practical application are shown using the Saskatchewan Power Corporation and Manitoba Hydro Systems as models. The spinning reserve commitment is dictated by the risk level selected. This is a management decision. •The lower the risk level, the higher the spinning reserve needed to' satisfy the given load. With the help of the methods outlined in this thesis, a consistent security measure can be established for any given system.
Dynamic Pavement Response Measurement System using Piezoelectric Axle Sensors
(2002) Huff, Rebecca Jean; Daku, B. L. F.; berthelot, C. F.
Over the past several decades, the transportation of commercial goods in North America has shifted from using railways to using roadways. This came as a result of the recent development of high quality roads reaching the same destinations as the railroads'. Historically, roadway design has used an empirical approach. Essentially, this technique was adequate in dealing with small vehicles and low volumes of traffic. Today, however, large vehicles and high traffic volumes are inflicting increasing amounts of damage on many roadways. As such, the idea of developing a mechanistic road modeling approach for design, construction and preservation was conceived. :The ability to determine the Dynamic Deflection Bowl surrounding a rolling wheel is required for the prediction of structural damage. This thesis presents the Piezoelectric Axle Sensor (PAS) as a possible tool for obtaining the Dynamic Deflection Bowl information. It is a sensor which converts mechanical deformation into a proportional electrical charge, and there are already thousands of these sensors installed in systems world wide, measuring the Dynamic Weights of vehicles. The operation of several different types and orientations of these PAS's were examined and tested. Valuable data was extracted from their outputs. This data allowed the prediction of many, but not all, of the Deflection Bowl characteristics. For instance, the length and inflection point of the Deflection Bowl along with footprint size were all successfully predicted. The horizontal and vertical components for the two pseudo-rectangular PAS's were combined and found to exhibit the same characteristics as the cylindrical PAS. This research has shown that the outputs from several popular PAS's can be used to generate data useful in planning and maintenance of the nations roadways.
(1968-04) Huff, Garnet Jerry; Holmlund
This thesis describes the design criteria and the resulting construction of an audio output communication device for the physically handicapped. The operator is able to select, via his particular input transducer, one from a possible 400 pre-recorded words and have it appear as a "spoken" word of audio. Also included in this thesis are proposals for further study which would reduce the size; cost, and weight of the unit as well as offer greater flexibility in output format and a much larger vocabulary.
(2005) Hu, Po; Karki, Rajesh
Wind energy is considered to be an encouraging and promising source for alternative power generation due to the global environmental concerns associated with conventional energy sources. The fact that wind power penetration continues to increase has generated serious concerns about the contributions and impacts on the overall system reliability. These concerns have motivated a need to develop more widely applicable methodologies for evaluating the actual benefits of adding wind turbines to conventional power generating systems. Reliability evaluation of generating systems with wind energy sources is a complex process. It requires an accurate wind speed forecasting technique for the wind farm site. The method requires historical wind speed data collected over many years for the wind farm location in order to determine the necessary parameters of the wind models for the particular site. Reliability evaluation methods have not been readily used in actual power systems that incorporate wind power due to the complexities involved with the techniques. This thesis presents the development of an analytical method that is simple to apply and requires little wind data for the wind farm site. The development of a common wind speed model applicable to multiple wind farm locations is presented and illustrated with an example. The method is further simplified by determining the minimum multi-state representation for a wind farm generation model for reliability evaluation with reasonable accuracy. The developed method is utilized to conduct a series of adequacy analyses in order to investigate the reliability benefit of adding a Wind Energy Conversion System (WECS) to a power system and to evaluate the capacity credit of WECS. A quantitative index is introduced and used to measure WECS capacity credits, and to examine the effect of key system parameters. The information provided in this thesis should prove useful to power system planners and wind developers to determine the capacity credit of wind sources at different wind penetration levels.
(1962-10) Harris, Tony Edward
The specifications, design, and construction of an elec-tronic power plant simulator, suitable for the investigation of complex process control and power system problems are described in this thesis. The model described is a nuclear fired turbo-generator power plant. The simulator is based on standard analogue computer techniques, sup-plemented by special nonlinear function generators. The simulator uses approximately sixty operational ampli-fiers, seven multipliers, and several nonlinear function generators. The main portions of the actual system are represented by four special purpose sub-units, with small general purpose units representing the remainder. Test results verify the qualitative behavior of the simulator.
(1981-09) Hamoud, Gomaa Ahmed; Billington, R.
The problem of uncertainty associated with power system reliability evaluation has been given considerable interest over the past decade. Probabilistic methods for evaluating the impact of uncertainty in the system parameters on the computed reliability indices have been developed and applied to hypothetical systems. These methods are based on the discrete distribution of the system capacity outages and can be time consuming when applied to large power systems. This thesis treats some of the uncertainties associated with generating capacity reliability evaluation of single and two interconnected systems. The thesis examines the accuracy of the continuous representation model of the system capacity outages recently used in generating capacity reliability studies. Practical techniques to including uncertainty concepts in generating capacity reliability evaluation are developed and applied to selected power systems. The thesis also presents a simple and efficient method for developing an equivalent reliability model for two groups of parallel elements connected in series. The method presented permits the incorporation of uncertainty associated with this type of configuration. A number of studies have been conducted to illustrate the concepts, methods, and models.
(1978-09) Hamoud, Gomaa Ahmed; Billington, R.
Probability methods are widely used in generation planning of power systems. In recent years, special interest has been devoted to the effect of uncertainties in the system parameters on the generation reliability indices. This thesis presents some basic extensions to the techniques used for studying the effect of uncertainties in the system parameters on the Loss of Load Expectation (LOLE) index of single area systems. Sensitivity of the LOLE index to the generator forced outage rate and load forecasting is illustrated using data provided by the Saskatchewan Power Corporation (SPC). Approximate confidence intervals for the LOLE index when it is treated as a random variable are obtained using the Monte Carlo simulation method. The development of a method by which the effect of derated units in LOLE analysis can be included is presented. Computational results have demonstrated that both the exact and approximate methods give very good agreement in the calculated values of the parameters involved. In addition, the approximate methods presented save computer time and storage.