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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Airplane (1)
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- CLASSIFICATION ACCURACY (1)
- Detection (1)
- E-QUALITY (1)
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- Ergonomics (1)
- Flow (1)
- Human Factors (1)
- Irrigation (1)
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- Machine learning for scheduling (1)
- Microsurgery (1)
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Articles 1 - 5 of 5
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Irrigation Leak Detection: Using Flow Rate Sensors To Detect Breaks In An Irrigation System, Adam Openshaw, Kalvin Vu
Irrigation Leak Detection: Using Flow Rate Sensors To Detect Breaks In An Irrigation System, Adam Openshaw, Kalvin Vu
Computer Engineering
This report details the exploration and invention of a mechanism that can detect breaks in an irrigation system. With the ultimate goal of conserving water, we have designed an inexpensive, self sustaining flow rate monitor that can be used to identify anomalies in an irrigation system and wirelessly communicate the status of the system to a base station. Our implementation can also determine the direction of the anomaly based on the nature of the anomaly itself. This means that multiple monitors can be used to pinpoint the location of a break within the system in addition to merely detecting its …
Uav Pirates And Silentrack Integration, Travis Dean, Hushnak Singh, Ashley Wager, Matthew (Matt) Woolridge
Uav Pirates And Silentrack Integration, Travis Dean, Hushnak Singh, Ashley Wager, Matthew (Matt) Woolridge
Electrical Engineering
The integration of the UAV pirating system with the SilenTrack video tracking system will allow the combined system to automatically identify and track a suspicious air vehicle visually as well as identify and decode the RF control signal. Once a threat has been identified, the system will execute an algorithm to associate each control channel with the corresponding flight control surface. Once the control channels have been decoded the user can use a hand held radio controller to maneuver the drone which is now under their command.
Coping With The Curse Of Dimensionality By Combining Linear Programming And Reinforcement Learning, Scott H. Burton
Coping With The Curse Of Dimensionality By Combining Linear Programming And Reinforcement Learning, Scott H. Burton
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Reinforcement learning techniques offer a very powerful method of finding solutions in unpredictable problem environments where human supervision is not possible. However, in many real world situations, the state space needed to represent the solutions becomes so large that using these methods becomes infeasible. Often the vast majority of these states are not valuable in finding the optimal solution. This work introduces a novel method of using linear programming to identify and represent the small area of the state space that is most likely to lead to a near-optimal solution, significantly reducing the memory requirements and time needed to arrive …
E-Quality: Using Dimensional Index Values Towards Improving Classification Accuracy, Prashanth Devaram
E-Quality: Using Dimensional Index Values Towards Improving Classification Accuracy, Prashanth Devaram
Open Access Theses & Dissertations
E-quality is a process through which inspection of the process and quality of the part produced is done online resulting in the improvement of the process and reduction in the amount of time consumed for the overall process. Automated quality control involves using a methodology to classify the parts based on the dimensions of the features on a part. However, achieving 100% classification accuracy is not an easy task, especially in area of quality control where small differences in dimensions result in part fall into a different category. In this study, a novel approach for modifying the data before being …
Task Analysis, Modeling, And Automatic Identification Of Elemental Tasks In Robot-Assisted Laparoscopic Surgery, Lavie Pinchas Golenberg
Task Analysis, Modeling, And Automatic Identification Of Elemental Tasks In Robot-Assisted Laparoscopic Surgery, Lavie Pinchas Golenberg
Wayne State University Dissertations
Robotic microsurgery provides many advantages for surgical operations, including tremor filtration, an increase in dexterity, and smaller incisions. There is a growing need for a task analyses on robotic laparoscopic operations to understand better the tasks involved in robotic microsurgery cases. A few research groups have conducted task observations to help systems automatically identify surgeon skill based on task execution. Their gesture analyses, however, lacked depth and their class libraries were composed of ambiguous groupings of gestures that did not share contextual similarities.
A Hierarchical Task Analysis was performed on a four-throw suturing task using a robotic microsurgical platform. Three …