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Now showing items 61-70 of 85
Using Approximate Dynamic Programming to Control an Electric Vehicle Charging Station System
(2017-08-11)
Dynamic programming (DP) as a mathematical programming approach to optimize a system evolving over time has been applied to solve the multi-stage optimization problems in a lot of areas such as manufacturing systems and ...
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)
As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ...
Productivity Improvement and Cost Optimization of Small and Medium Scale Enterprises
(2017-05-11)
Productivity improvement and cost optimization have been a topic of discussion for at least a century. The publication of Fredrick Taylor’s book ‘The Principles of Scientific Management’ in 1911 can be considered as the ...
Adaptive Pain Management Decision Support System
(Industrial & Manufacturing Engineering, 2011-03-03)
Pain management is an international health issue. The Eugene McDermott Center for Pain Management at the University of Texas Southwestern MedicalCenter at Dallas conducts a two-stage interdisciplinary pain management program ...
Corporate Environmental Performance Rating Methodology
(Industrial & Manufacturing Engineering, 2010-07-19)
Environmental issues are becoming increasingly important to all kinds of stakeholders and companies themselves, not only for cost avoidance due to regulations, laws, cleanup costs, litigations, controversies, etc, but to ...
Adaptive Dynamic Programming For High-dimensional, Multicollinear State Spaces
(Industrial & Manufacturing Engineering, 2013-03-20)
Dynamic programming (DP) is a mathematical programming method for optimizing a system changing over time and has been used to solve multi-stage optimization problems in manufacturing systems, environmental engineering, and ...
Evaluating The Impact Of Auto ID Technologies On Oil And Gas ERP System Data Accuracy And Reliability
(Industrial & Manufacturing Engineering, 2014)
Most of Enterprise Resource Planning (ERP) systems currently use manual entry or mass upload methods to enter data collected from warehouse operations. These methods are highly unreliable and prone to manual error affecting ...
Unmanned Aerial Vehicle Routing In The Presence Of Threats
(Industrial & Manufacturing Engineering, 2014)
The use of Unmanned Aerial Vehicles (UAVs) and the importance of its role have evolved and increased recently in both civilian and military operations. In this research, we study the routing of Unmanned Aerial Vehicles ...
A Systems Thinking Approach To Apply Water Sustainability In Hospitals
(Industrial & Manufacturing Engineering, 2014)
One of the most critical challenges the world is facing is to ensure everyone has access to an adequate and quality supply of water. As the population increases, the demand for water rises. Water needs to be sustained for ...
Stationary And Non-stationary Time Series Prediction Using State Space Model And Pattern-based Approach
(Industrial & Manufacturing Engineering, 2014)
The motion-adaptive radiotherapy techniques are promising to deliver ablative radiation doses to tumor with minimal normal tissue exposure by accounting for real-time tumor movement. However, a major challenge of successful ...