The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we aim to present a surface potential based model for GaN High Electron Mobility Transistors. The analytical model is computationally efficient and can be accurately used for DC and RF predictions. It includes various effects of velocity saturation, access region resistance, temperature, gate current and noise.
We measured InfiniBand traffic in our full fat tree fabric and measured performance impact of trimming the fabric on our major application kernels. Based on traffic pattern analysis and application performance impact we infer that a 2:1 trimmed fat tree is a cost effective alternative to a full fat tree for this specific set of applications. The methodology we used may be useful for others who are...
NCAR's Bluefire supercomputer is instrumented with a set of low-overhead processes that continually monitor the floating point counters of its 3,840 batch-compute cores. We extract performance numbers for each batch job by correlating the data from corresponding nodes. From experience and heuristics for good performance, we use this data, in part, to identify poorly performing jobs and then work with...
The NCAR-Wyoming Supercomputing Center (NWSC) will begin operating in June 2012, and will house NCAR's next generation HPC system. The NWSC will support a broad spectrum of Earth Science research drawn from a user community with diverse requirements for computing, storage, and data analysis resources. To ensure that the NWSC satisfies the needs of this community, the procurement benchmarking process...
This paper describes the load flow simulation studies of the Western grid of Bangladesh Power System using PSAT, a free and open-source software and compares the results with those from PowerWorld, a well-accepted and commercial software. The studied power system contains 41 buses and 82 interconnecting lines. To ground the basis of comparison, both of the applications were run in the same simulation...
In the event of disasters such as hurricanes, earthquakes and terrorism, emergency relief supplies need be distributed to disaster victims in timely manner to protect the health and lives of the victims. We develop a modeling framework for disaster response where the supply chain of relief supplies and distribution operations are simulated, and analytics for the optimal transportation of relief supplies...
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The algorithm is divided into four steps. First, moving objects are detected using an accurate hybrid scheme with selective Gaussian modeling. Simple object features balancing speed, reliability, and complexity are then extracted...
Object detection is receiving a growing attention with the emergence of surveillance systems. This paper presents a hybrid adaptive scheme based on selective Gaussian modeling for detecting objects in complex outdoor scenes with gradual illumination changes and dense, moving background objects like swinging tree branches. The proposed technique combines simple frame difference (FD), simple adaptive...
We propose a novel testing approach that combines information from UML sequence models and state machine models. Current approaches that rely solely on sequence models do not consider the effects of the message path under test on the states of the participating objects. Dinh-Trong et al. proposed an approach to test input generation using information from class and sequence models.We extend their...
We present a novel testing approach that combines information from UML sequence models and state machine models. We use sequence models to extract message paths that play a role in critical usage scenarios of a system. We use state machines to generate multiple execution paths from a message path by analyzing the effect of the messages on state transitions of the system. By covering these execution...
The problem of optimal channel assignment has become increasingly important because of available frequency spectrum and increasing demand for cellular communication services. This has been shown to be an Np complete optimization problem. Many heuristic approaches including neural network, simulated annealing and genetic algorithm have been used to solve it. In this paper we propose a novel and efficient...
We propose a technique for the autonomous detection of the faulty sensors of a sensor array that are aberrant relative to the rest. Our approach is based on probabilistically modeling the distribution of the differences between the sensor measurements as a mixture of Gaussians and then classifying further instances of the sensor differences using a naive Bayes classifier. We demonstrate the applicability...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.