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Articles 1 - 6 of 6
Full-Text Articles in Engineering
3d Thoracoscopic Ultrasound Volume Measurement Validation In An Ex Vivo And In Vivo Porcine Model Of Lung Tumours, V. Hornblower, E. Yu, A. Fenster, J. Battista, R. Malthaner
3d Thoracoscopic Ultrasound Volume Measurement Validation In An Ex Vivo And In Vivo Porcine Model Of Lung Tumours, V. Hornblower, E. Yu, A. Fenster, J. Battista, R. Malthaner
Richard A. Malthaner
The purpose of this study was to validate the accuracy and reliability of volume measurements obtained using three-dimensional (3D) thoracoscopic ultrasound (US) imaging. Artificial "tumours" were created by injecting a liquid agar mixture into spherical moulds of known volume. Once solidified, the "tumours" were implanted into the lung tissue in both a porcine lung sample ex vivo and a surgical porcine model in vivo. 3D US images were created by mechanically rotating the thoracoscopic ultrasound probe about its long axis while the transducer was maintained in close contact with the tissue. Volume measurements were made by one observer using the …
3d Thoracoscopic Ultrasound Volume Measurement Validation In An Ex Vivo And In Vivo Porcine Model Of Lung Tumours, V. Hornblower, E. Yu, A. Fenster, J. Battista, R. Malthaner
3d Thoracoscopic Ultrasound Volume Measurement Validation In An Ex Vivo And In Vivo Porcine Model Of Lung Tumours, V. Hornblower, E. Yu, A. Fenster, J. Battista, R. Malthaner
Richard A. Malthaner
The purpose of this study was to validate the accuracy and reliability of volume measurements obtained using three-dimensional (3D) thoracoscopic ultrasound (US) imaging. Artificial "tumours" were created by injecting a liquid agar mixture into spherical moulds of known volume. Once solidified, the "tumours" were implanted into the lung tissue in both a porcine lung sample ex vivo and a surgical porcine model in vivo. 3D US images were created by mechanically rotating the thoracoscopic ultrasound probe about its long axis while the transducer was maintained in close contact with the tissue. Volume measurements were made by one observer using the …
Improved And Generalized Learning Strategies For Dynamically Fast And Statistically Robust Evolutionary Algorithms, Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, M K. Tiwari
Improved And Generalized Learning Strategies For Dynamically Fast And Statistically Robust Evolutionary Algorithms, Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, M K. Tiwari
Nagesh Shukla
This paper characterizes general optimization problems into four categories based on the solution representation schemes, as they have been the key to the design of various evolutionary algorithms (EAs). Four EAs have been designed for different formulations with the aim of utilizing similar and generalized strategies for all of them. Several modifications to the existing EAs have been proposed and studied. First, a new tradeoff function-based mutation has been proposed that takes advantages of Cauchy, Gaussian, random as well as chaotic mutations. In addition, a generalized learning rule has also been proposed to ensure more thorough and explorative search. A …
Genetic-Algorithms-Based Algorithm Portfolio For Inventory Routing Problem With Stochastic Demand, Nagesh Shukla, M Tiwari, Darek Ceglarek
Genetic-Algorithms-Based Algorithm Portfolio For Inventory Routing Problem With Stochastic Demand, Nagesh Shukla, M Tiwari, Darek Ceglarek
Nagesh Shukla
This paper presents an algorithm portfolio methodology based on evolutionary algorithms to solve complex dynamic optimization problems. These problems are known to have computationally complex objective functions which make their solutions to be computationally hard to find, when problem instances of large dimensions are considered. This is due to the inability of the algorithms to provide optimal or near optimal solution within allocated time interval. Therefore, this paper employs a bundle of evolutionary algorithms (EAs) tied together with several processors, known as algorithm portfolio, to solve a complex optimization problem such as inventory routing problem (IRP) with stochastic demands. EAs …
Application Of Intelligent Sensors In The Integrated Systems Health Monitoring Of A Rocket Test Stand, Ajay Mahajan, Sanjeevi Chitikeshi, Lucas Utterback, Pavan Bandhil, Fernando Figueroa
Application Of Intelligent Sensors In The Integrated Systems Health Monitoring Of A Rocket Test Stand, Ajay Mahajan, Sanjeevi Chitikeshi, Lucas Utterback, Pavan Bandhil, Fernando Figueroa
Dr. Ajay Mahajan
This paper describes the application of intelligent sensors in the Integrated Systems Health Monitoring (ISHM) as applied to a rocket test stand. The development of intelligent sensors is attempted as an integrated system approach, i.e. one treats the sensors as a complete system with its own physical transducer, A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the NASA Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements associated with the rocket tests …
A Distributed Particle Filtering Approach For Multiple Acoustic Source Tracking Using An Acoustic Vector Sensor Network
Faculty of Engineering University of Malaya
Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. However, such algorithms are either not applicable for multiple sources or rely heavily on sensor-processor communication. In this paper, a distributed unscented PF (DUPF) approach is proposed for multiple acoustic source tracking. At each distributed AVS node, the first-order and the second-order statistics of the local state are estimated by using an unscented information filter (UIF) based PF. The UIF is employed to approximate the optimum importance function due to its …