Directional antennas in wireless ad hoc networks (WANETs) offer great potential to reduce the radio interference, and improve the communication throughput. Using directional antennas, however, introduces a new problem...
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Wireless Mesh Networks (WMNs) are increasingly applied for various applications. Many advantages of WMNs are based on the autonomous operation of the mesh nodes. A main factor to achieve autonomy is energy-self-suffic...
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Wireless Mesh Networks (WMNs) are increasingly applied for various applications. Many advantages of WMNs are based on the autonomous operation of the mesh nodes. A main factor to achieve autonomy is energy-self-sufficiency. Here, the usage of renewable energy generators combined with energy storages is a common approach. However, an efficient mechanism is needed to manage the constrained energy resources as well as the amount of generated energy. Therefore, we propose in this paper a context-aware energy management system (CA-EMS) for energy-self-sufficient network nodes. In our CA-EMS, we determine an energy budget on basis of energy generation, energy consumption and available context information. Furthermore, we classify the available context, and we define context-based rules and actions to keep the energy budget of the nodes in balance. Our use case, that is a real-world system, shows more practically, that applying CA-EMS prolongs the runtime of the mesh node while keeping the energy budget in balance.
The image de-noising method via USFFT Curvelet transform is proposed in this paper. The method can preserve the detail information of high frequency of noisy image, and to avoid the phenomenon of edge slant during the...
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Eukaryotic 80S ribosomes of known structure are far more complex than their 70S bacterial counterparts. Those fromSaccharomyces cerevisiae,Tetrahymena thermophila, andTriticum aestivum, for example, bear insertions of...
Eukaryotic 80S ribosomes of known structure are far more complex than their 70S bacterial counterparts. Those fromSaccharomyces cerevisiae,Tetrahymena thermophila, andTriticum aestivum, for example, bear insertions of ribosomal RNA (rRNA) called expansion segments (ES) and additional ribosomal proteins. The ribosomes of the kinetoplastidTrypanosoma brucei, though, are especially fascinating: structurally and their other kinetoplastids’ ribosomes bear very large ESs, as well as smaller ESs, and protein extensions. Additionally,T. bruceiribosomes require novel protein factors for maturation, although they do not require several eukaryotic initiation factors or a recycling factor. As a species,T. bruceiis fascinating not only in terms of structure, but also in terms of gene expression and even public health: the species is responsible for the incurable, terminal human African Trypanosomiasis (sleeping sickness); and during post-transcriptional regulation, a single common RNA segment called a splice leader is trans-spliced onto the 5′ ends of many ofT. brucei’s mRNAs. The purpose of this splice event in translation is unknown. Here, we present a high-resolution structure of theT. bruceiribosome which contributes a great deal to addressing the above unknowns. We have employed map segmentation, homology modeling, ab initio rRNA modeling, and Molecular Dynamics Flexible Fitting (MDFF) to model the ribosome’s atomic structure. The positions and structures of the ribosome’s novel ESs and protein extensions were previously unknown, but our structure reveals the precise spatial contexts of these components. With this information in hand, we can begin to decipherT. brucei’s unusual translational requirements.
ISS (Instruction Set Simulator) plays an important role in pre-silicon software development for ASIP. However, the speed of traditional simulation is too slow to effectively support full-scale software development. In...
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Parallel computing has been a niche for scientific research in academia for decades. However, as common industrial applications become more and more performance demanding and raising the clock frequency of conventiona...
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Parallel computing has been a niche for scientific research in academia for decades. However, as common industrial applications become more and more performance demanding and raising the clock frequency of conventional single-core systems is hardly an option due to reaching technological limitations, efficient use of multi-core CPUs has become imperative. 3D surface analysis of objects using the white light interferometry presents one of such computationally challenging applications. In this article three established preprocessing methods of white light interferometry data analysis are used to evaluate the suitability of three modern multi-core architectures - generic multi-core CPUs, GPGPUs and IBM's Cell BE. The results show that function offloading to GPGPUs, which offer independent memory and many hundreds of threads running in parallel, yields the highest performance compared to other systems. Furthermore, by outsourcing computational tasks to GPUs, the workload of other system resources, such as CPU or system memory, is reduced. This allows accelerated execution of other tasks, e.g. acquisition of images with higher frame rates.
As more and more Web applications emerging on sever end today, the Web browser on client end has become a host of a variety of applications other than just rendering static Web pages. This leads to more and more perfo...
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While providing correct functionality has been the thrust of most software design efforts, embedded software poses several additional challenges. Among them is designing robust software which can tolerate inaccurate i...
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ISBN:
(纸本)9781450305594
While providing correct functionality has been the thrust of most software design efforts, embedded software poses several additional challenges. Among them is designing robust software which can tolerate inaccurate inputs (coming from degraded sensors), failure of software components, and wearing-out of electro-mechanical parts it controls. For this, a design space exploration is performed and several design options are evaluated for their ability to tolerate quality (or accuracy degradation) faults. While a model-based approach enables an early analysis of quality faults, modeling and analyzing the effects of quality faults is a challenge. In this work we propose a quality fault-tolerance analysis framework which is used on operation-level models of embedded software, and an abstraction of quality-faults suitable for this analysis. The proposed method consists of characterizing individual components of the model, and then using the pre-characterized behaviors to quickly evaluate the software design. Characterization is a one-time effort and results of the same can be reused when a new design is evaluated. This results in additional speedup of upto 6-10× faster evaluation of designs, thereby facilitating a quick early evaluation of design options.
The intermittence of the connection between nodes and limited resources greatly impair the effectiveness of service information publication in Delay Tolerant Network (DTN). To overcome this problem, a multi-layer serv...
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Technical developments and a more flexible relation between working and private life lead to the inclusion of both formal and informal aspects in learning concepts, as well as supported and unsupported phases, with a ...
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Technical developments and a more flexible relation between working and private life lead to the inclusion of both formal and informal aspects in learning concepts, as well as supported and unsupported phases, with a flexible role of learners, tutors, and teachers. While formal and non-formal learning is mostly carried out in instructional programs, informal learning takes place in everyday life situations [10]. The complexity of learning concepts with different degrees of formalization and support can cause difficulties in the preparation, because didactical and methodical decisions have to be made where, when, and how learners, tutors, and teachers should work together. Thus, in this paper we present a structured approach for categorizing learning scenarios, fields, and activities on the two dimensions formalization (formal/informal) and support (supported/unsupported). The examples of Media-based Junior Studies (MbJS) and DAAD project “IT, Culture, and Gender” - both projects with very heterogeneous learners and contents - show that the suggested dimensions are useful in the preparation of these learning concepts.
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