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Acoustic or sound noise due to gradient pulsing has been one of the problems in magnetic resonance imaging (MRI), both in patient scanning as well as in many areas of psychiatric and neuroscience research such as functional MRI. Our recent observations in functional MRI for the visual and motor cortex show very different results with sound noise in(More)
Public cloud storage has recently surged in popularity. However, cloud storage providers (CSPs) today offer fairly rigid services, which cannot be customized to meet individual users' needs. We propose a distributed, client-defined architecture that integrates multiple autonomous CSPs into one unified cloud and allows individual clients to specify their(More)
—In this paper, we present demand-side energy management under real-time demand-response pricing as a task scheduling problem which is NP-hard. Using minmax as the objective, we show that the schedule produced by our minMax scheduling algorithm has a number of salient advantages: significant peak-shaving, cost reduction, and risk-aversion for the consumers.(More)
A new approach to silent MR imaging using a rotating DC gradient has been explored and experimentally studied. Acoustic or sound noise has been one of the problems in examining patients, mainly due to the fast gradient pulsings in interaction with the main magnetic field. The sound noise has been noted to be proportionately louder as the magnetic field(More)
Three dimensional (3D) quantitative structure-activity relationship studies of 37 B-Raf inhibitors, pyrazole-based derivatives, were performed. Based on the co-crystallized compound (PDB ID: 3D4Q), several alignment methods were utilized to derive reliable comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis(More)
Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy any more. Alternative approaches, application signature mapping, behavior-based analysis, and machine learning based classification methods, show more promising accuracy. However,(More)
— The number of mobile devices and the amount of mobile traffic are increasing rapidly. The users of mobile device use various services such as web surfing, email, video and audio streaming, etc. Analyzing mobile traffic is necessary to provide high quality mobile network services such as QoS management, traffic engineering, etc. In fact, several multi-flow(More)
In the last decade, networks have evolved from simple data packet forwarding to platforms that support complex multimedia services, such as network based personal video recording and broadcast TV. Each of these services has significant quality demands: they are very sensitive to packet loss and jitter, and require a substantial amount of bandwidth. As the(More)