Background: The aim of this work was to study the feasibility of constructing a fast thorax model suitable for simulating lung motion due to respiration using only one CT dataset. Materials and Methods: For each of six patients with different thorax sizes, two sets of CT images were obtained in single-breath-hold inhale and exhale stages in the supine position. The CT images were then ...

Carbon black or soot is a carbon rich material which is widely used as a modifier and filler. Usually carbon black is produced via thermal decomposition of heavy <span style="font-size: 10pt; color: #0...

This work investigates the use of deep fully convolutional neural networks (DFCNN) for pixel-wise scene labeling of Earth Observation images. Especially, we train a variant of the SegNet architecture on remote sensing data over an urban area and study different strategies for performing accurate semantic segmentation. Our contributions are the following: 1) we transfer efficiently a DFCNN from ...

Latent Gaussian models are flexible models that are applied in several statistical applications. When posterior marginals or full conditional distributions in hierarchical Bayesian inference from these models are not available in closed form, Markov chain Monte Carlo methods are implemented. The component dependence of the latent field usually causes increase in computational time and divergenc...

In this paper we present a load balancing method for parallel simulation of accuracy adaptive transaction level models. In contrast to traditional fixed accuracy TLMs, timing accuracy of adaptive TLMs changes during simulation. This makes the computation and synchronization characteristics of the models variable, and practically prohibits the use of static load balancing. To deal with this issu...

{luwan2, cdong3, dchen}@illinois.edu Enabling Hardware Support for Fast Data Relay Architectural overview: Host CPU initializes the kernel computation on our FDR-CGRA. DMA is in charge of system-level dataflow. FDR-CGRA can focus on accelerating time-consuming kernels. Processing elements: Support concurrent computation and communication with dedicated computing path and bypassing path for Fast...

this paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (fpso) and fuzzy c-means (fcm) algorithms, to solve the fuzzyclustering problem, especially for large sizes. when the problem becomes large, thefcm algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. the pso algorithm does find ago...