The emerging nanophotonic technology can avoid the limitation of I/O pin count, and provide abundant memory bandwidth. However, current DRAM organization has mainly been optimized for a higher storage capacity and pac...
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Dynamic programming has been one of the most efficient approaches to sequence analysis and structure prediction in biology. However, their performance is limited due to the drastic increase in both the number of biolo...
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This article consists of a collection of slides from the author's conference presentation on the special features, system design, processing capabilities, and targeted markets for AMS's Godson-T microprocessor...
Homology modeling, as a successful protein structure prediction method, has two major deficiencies, i.e., the lack of the templates (known structures), and the accuracy of alignment between the query (unknown structur...
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Many programs require more RAM to hold their data than a typical computer has. Theoretically, both the compression and deduplication can trade the rich computing capacity for more available RAM space. This paper compr...
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In order to reduce the interference,a novel,cluster-based medium access control(MAC)protocol with load aware for VANETs is proposed in this ***,all vehicles on roads are grouped into stable clusters in the light of th...
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In order to reduce the interference,a novel,cluster-based medium access control(MAC)protocol with load aware for VANETs is proposed in this ***,all vehicles on roads are grouped into stable clusters in the light of their direction,number of neighbors,link reliability,and traffic *** utilizing the advantages of centralized control in software defined VANETs(SDVN),cluster stability can be maintained in ***,a contention-free MAC mechanism composed of inter-cluster multi-channel allocation and intra-cluster dynamic TDMA frame allocation is proposed to prevent co-channel interference and hidden terminal *** results show that the proposed protocol outperforms some existing protocols in cluster stability,delivery ratio,throughput and delay performance.
In recent years, artificial intelligence and automotive industry have developed rapidly, and autonomous driving has gradually become the focus of the industry. In road networks, the problem of proximity detection refe...
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In recent years, artificial intelligence and automotive industry have developed rapidly, and autonomous driving has gradually become the focus of the industry. In road networks, the problem of proximity detection refers to detecting whether two moving objects are close to each other or not in real time. However, the battery life and computing capability of mobile devices are limited in the actual scene,which results in high latency and energy consumption. Therefore, it is a tough problem to determine the proximity relationship between mobile users with low latency and energy consumption. In this article, we aim at finding a tradeoff between latency and energy consumption. We formalize the computation offloading problem base on mobile edge computing(MEC)into a constrained multiobjective optimization problem(CMOP) and utilize NSGA-II to solve it. The simulation results demonstrate that NSGA-II can find the Pareto set, which reduces the latency and energy consumption effectively. In addition, a large number of solutions provided by the Pareto set give us more choices of the offloading decision according to the actual situation.
Thread Level Speculation (TLS) is a technique aims at boosting the performance of sequential programs running on Chip Multiprocessors (CMPs) by automatically parallelizing them. It exempts programmers from the heavy t...
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Many applications meet certain programming patterns like pipeline, fork-join, do-all etc. While tools such as OS threads and OpenMP allow programmers only to express task or data parallelism, special support for progr...
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In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignments. We first constructed a template library of structural clusters for all conserve...
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ISBN:
(纸本)1595934804;9781595934802
In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignments. We first constructed a template library of structural clusters for all conserved sequence domains. Then, for each cluster, we built the profile using the structure and sequence information. Finally we use the profile and structural alignments as anchors to increase the alignment accuracy between a query and its templates. Our preliminary results show that this method can be used for the partial prediction for a majority of known protein sequences with better qualities. Copyright 2007 ACM.
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