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 propose a hardware architecture of an adaptive multi-resolution motion estimation algorithm (AMMEA) for high definition video encoder to reduce hardware cost. The texture-based search strategies are based on temporal stationarity and spatial homogeneity with Sobel edge operator. The proposed algorithm makes motion estimation more concise. We also propose Sobel edge operator hardware...
Monte Carlo (MC) simulation plays an important part in dose calculation for radiotherapy treatment planning. Since the accuracy of MC simulation relies on the number of simulated particles histories, it's very time-consuming. The Intel Many Integrated Core (MIC) architecture, which consists of more than 50 cores and supports many parallel programming models, provides an efficient alternative for accelerating...
To mitigate the severe inter-tier interference and enhance the limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in HetNets, H-CRANs are proposed as cost-efficient potential solutions through incorporating cloud computing into HetNets. In this article, state-of-the-art research achievements and challenges of H-CRANs are surveyed. In...
To cope with the complex, diverse and rapidly changing battlefield environment sensing needs, a mission-oriented adaptive management system for multi-sensors network in the network centric warfare is proposed. Based on the principle of openness, adaptivity and robustness, the mission decomposition model, Meta-task sequence diagram construct method, sensor management plan optimization, and strategic...
The h.264 standard adopts an effective intra-frame prediction coding algorithm to reduce spatial redundancies and improve the compression ratio, but this high performance was reached by exhaustively trying all available prediction modes and selecting the best one, which becomes the bottleneck of this algorithm. In this paper, we propose a high throughput prediction and mode decision architecture to...
We present a hardware architecture for efficient implementation of a Gaussian random number generator (GRNG), using the Monty Python method. To maximize the performance/complexity efficiency, an efficient word-length optimization model is proposed to find out both the optimal integer and fractional word-lengths for signals. Experimental results show that our optimized Fixed-Point design achieves a...
Fractional motion estimation (FME) as a complement to integer motion estimation (IME) conducts higher compression rate in video coding. Based on multiple reference frames and all modes of variable-block-size (VBS) motion search, the common FME algorithm and architecture generally causes high computational complexity. It consumes plenty of time and hardware resources to process the real-time (30fps)...
In order to solve the problems of current machine learning in fault diagnosing system of the chemical plants, a better and effective multilayer architecture model is used in this paper. Hidden Markov model (HMM) is good at dealing with dynamic continuous data and support vector machine (SVM) shows superior performance for classification, especially for limited samples. Combining their respective virtues,...
Hardware curriculums are important basic courses in computer science education. However, there are some problems in studying these courses, such as ambiguous learning purpose, lacking interest, inflexible experiment methods, etc. These problems hamper students' learning. In this paper, firstly we discuss these problems in detail. Then we introduce the widely used EDA (electronic design automation)...
Aiming at naval cooperative engagement problem in wide sea battleground, a decentralized fusion architecture based on geodetic coordinate system for naval ships was presented. To increase the performance of maneuvering target tracking and fusion two efforts are made. On the one hand, more appropriate target motion model and observation model based on geodetic coordinate system are provided, on the...
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.