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Representation learning algorithm in medical area maps high dimensional real world medical concepts to low dimensional vector space, encodes rich medical knowledge, and has brought improvement to various machine learning applications in medical area. However, previous representation learning models in medical area failed to consider the multi-sense characteristic of medical concept. Moreover, the...
The dynamical economic dispatch problem is studied and reformulated by a distributed interior point method via a logarithmic barrier. By the facilitation of the graph Laplacian, a fully distributed primal-dual dynamical multiagent system is developed in a smart grid scenario to seek the saddle point of dynamical economic dispatch which coincides with the optimal solution. Specifically, to avoid high...
In this paper, we presented a fairness-aware scheduling scheme in OFDM-based cognitive radio networks. Our objective is to maximize the systems energy efficiency while maintain the fairness among secondary users. In addition, many factors will be considered such as the channel quality, the interferences taken to the primary system and the total transmission power of the cognitive radio system. The...
This article describes the architecture of Knights Landing, the second-generation Intel Xeon Phi product family, which targets high-performance computing and other highly parallel workloads. It provides a significant increase in scalar and vector performance and a big boost in memory bandwidth compared to the prior generation, called Knights Corner. Knights Landing is a self-booting, standard CPU...
This paper deals with joint power allocation (PA) for decode-and-forward (DF) two-hop MIMO relay links with hybrid power constraints. In order to maximize the instantaneous information rate of each hop, we propose an optimal PA scheme via a primal--dual algorithm. Then, we jointly allocate the power between the source and the relay to improve the power efficiency further. The simulations will validate...
This paper focuses on relay selection, subcarrier selection and power allocation (PA) in two-hop multi-relay networks in frequency-selective (FS) fading channel. The multiple relays adopt amplify-and-forward (AF) protocol and are subject to an aggregate power constraint. In order to maximize the instantaneous information rate of the system, both parallel mode (all the relays transmit signals simultaneously)...
Resource competition is inevitable in shared-resource systems, as the number of users increases or their resource demands change. In wireless networks, this problem is aggravated due to the existence of co-channel interference. Without appropriate control, harmful competition causes unbalanced user consumption of resources (e.g. starvation), and resource waste due to conflicts and idleness. In this...
Competition for finite resources causes severe congestion and collisions in wireless networks. Without effective management, the network can become unstable, and users may experience very long delay, significant packet loss and poor throughput. In this paper, we propose a multivariable globalized-local (MG-Local) framework of resource management to find a balance between fair allocation and efficient...
The Multi-core Multi-threading Microprocessor introduces not only resource sharing to threads in the same core, e.g., computation resources and private caches, but also isolates those resources within different cores. Moreover, when the Simultaneous Multithreading architecture is employed, the execution resources are fully shared among the concurrently executing threads in the same core, while the...
Inefficient resource management may cause problems of reliability of service in shared medium wireless networks. Resources include bandwidth, processor cycles and buffers. Excessive competition for these resources can cause severe packet collision rates, compound network congestion, or even result in starvation of some nodes. In such a situation, data transmission is subject to very long delays and...
Since H.264 is a high performance coding standard in with high computational requirements, it is hard to implement on portable devices. According to the human visual system (HVS) research, human eyes can only focus on one area in a frame, which is called region-of-interest (ROI). This phenomenon gives a chance to code all macroblocks unequally. In this work, the ROI is detected using texture contrast...
H.264 is the state-of-the-art in modern video compression standards. Its extremely high compression ratio meets the requirements the video communication between portable devices. Since the power is limited in portable devices, the huge computation of H.264 is a critical problem for hardware design. According to the human visual system (HVS) research, human vision is only able to focus on one area...
Simultaneous multithreading (SMT) achieves improved system resource utilization and accordingly higher instruction throughput because it exploits thread-level parallelism (TLP) in addition to conventional instruction-level parallelism (ILP). The key to high-performance SMT is to optimize the distribution of shared system resources among the threads. However, existing dynamic sharing mechanism has...
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