The PV infrastructure: Architecture from houses to highways

Integrating photovoltaics into the built environment presents unique opportunities and challenges. Designers have to mediate between the functional demands of photovoltaics as solar devices and their architectural role as a building material. Photovolt aics are highly modular and will be used in large and small projects; their design will have to be considered at all scales. Solutions to these problems will change, for better or worse, the orientation and focus of the built environment. Will buildings, now mostly indifferent or even hostile to their climate, turn outward, expressing their relationship to the sun, or will the landscape be transformed into a sea of modules, fixed at monotonously optimized angles?     

An efficient Resource Management to optimize the placement of hardware task on FPGA in the RVC framework

Dynamic partial reconfiguration (DPR) functionality allows implementing multi-tasks applications by exchanging tasks in a design at run-time. It is a promising solution to enhance system performances. But, the effective use of DPR is often hampered by the complexity added to the system design process. In this paper, we investigate the implementation of a multi-tasks applications using the DPR in the RVC framework. We present a resource management method which includes three steps: partitioning the application in HW/SW tasks, divided the FPGA in static and dynamic regions and placement the tasks on FPGA. The proposed method is based on using linear programming strategy to find the optimal placement of hardware tasks. We take into account the heterogeneity aspect of the device. The goal is to minimize the resource utilization and fragmentation. We use RVC technology which is based on a specific language for writing dataflow models called RVC-CAL. This language describes the application as set of blocks called actors connected through a network. To test the efficiency of our approach, we exploit the decoder MPEG-4 SP described in RVC-CAL. We measure the quality of placement in terms of tasks rejection, execution time and resource wastage. Application of different data combinations and a comparison with the state-of-the art method show the high performance of the proposed approach.     

MEG covariance difference analysis: a method to extract targetsource activities by using task and control measurements

A method is proposed for extracting target dipole-source activities from two sets of evoked magnetoencephalographic (MEG) data, one measured using task stimuli and the other using control stimuli. The difference matrix between the two covariance matrices obtained from these two measurements is calculated, and a procedure similar to the MEG-multiple signal classification (MUSIC) algorithm is applied to this difference matrix to extract the target dipole-source configuration. This configuration corresponds to the source-configuration difference between the two measurements. Computer simulation verified the validity of the proposed method. The method was applied to actual evoked-field data obtained from simulated task-and-control experiments. In these measurements, a combination of auditory and somatosensory stimuli was used as the task stimulus and the somatosensory stimulus alone was used as the control stimulus. The proposed covariance difference analysis successfully extracted the target auditory source and eliminated the disturbance from the somatosensory sources     

Hot-carrier damage from high to low voltage using the energy-driven framework

In this work, we confirm that the energy is the driving force of Hot Carrier effects. When the energy is high, the Energy-driven framework allows to retrieve Lucky Electron Model-like equations. But when the energy is lowered, high energy electrons generated by Electron-Electron Scattering become the dominant contribution to the degradation. For even lower energy Multiple Vibrational Excitation mechanism starts taking the lead.     

HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range images

Multidimensional Systems and Signal Processing - Due to the evolution of computer vision and non-photorealistic rendering (NPR) techniques, enhancements of image features from blatant range images...     

Everything you always wanted to know about training: guidelines derived using the affine precoding framework and the CRB

In this paper, affine precoding is used to investigate the tradeoffs that exist while using the transmitter resources on training versus information symbols. The channel input is a training vector superimposed on a linearly precoded vector of symbols. A block-fading frequency-selective multi-input multi-output (MIMO) channel is considered. To highlight the tradeoffs between training and data symbols, the Fisher information matrix (FIM) is derived under two circumstances: the random parameter vector to be estimated contains 1) only fading channel coefficients and 2) unknown data symbols as well as the channel coefficients. While strategy 1 corresponds to the receiver structure in which the channel is estimated initially and the channel measurement is utilized to retrieve the data symbols, strategy 2 corresponds to the structure in which channel and symbol estimations are performed jointly. The interesting outcome of the study in this paper is that minimizing the channel Cramer-Rao bound (CRB) for strategies 1 and 2 under a total average transmit power constraint leads to different affine precoder design guidelines.     

WCDMA:从现在到未来

3G是移动通信技术演进的下一个阶段,它正在带来先进的多媒体移动服务,如为电信消费市场提供的信息娱乐服务和移动商务.     

A framework for analyzing the information monitoring and decisionsupport system investment tradeoff dilemma: an application to crisismanagement

The simplest form of a system consists of an input, a process which adds value to the input, and an output containing actionable information. The value of the output from a system is a function of not only the quality of the input but also the appropriateness, validity, and reliability of the transforming process. For certain classes of decisions such as those that correspond to crisis management, even the most simplistic version of a system presents problems for system developers and hence decision makers. Unlike in highly structured decision settings where precise models exist and high quality data is readily available, decision making in crisis settings involves ill-structured tasks which pose considerable problems for those responsible for the investment of a limited information resource budget. This paper presents a framework for analyzing the information monitoring decision support system tradeoff dilemma that occurs in crisis management settings, it concludes with several insights and recommendations for future research     

A computational framework for the statistical analysis of cardiac diffusion tensors: application to a small database of canine hearts

We propose a unified computational framework to build a statistical atlas of the cardiac fiber architecture from diffusion tensor magnetic resonance images (DT-MRIs). We apply this framework to a small database of nine ex vivo canine hearts. An average cardiac fiber architecture and a measure of its variability are computed using most recent advances in diffusion tensor statistics. This statistical analysis confirms the already established good stability of the fiber orientations and a higher variability of the laminar sheet orientations within a given species. The statistical comparison between the canine atlas and a standard human cardiac DT-MRI shows a better stability of the fiber orientations than their laminar sheet orientations between the two species. The proposed computational framework can be applied to larger databases of cardiac DT-MRIs from various species to better establish intraspecies and interspecies statistics on the anatomical structure of cardiac fibers. This information will be useful to guide the adjustment of average fiber models onto specific patients from in vivo anatomical imaging modalities.     

Scaling the Si MOSFET: from bulk to SOI to bulk

Scaling the Si MOSFET is reconsidered. Requirements on subthreshold leakage control force conventional scaling to use high doping as the device dimension penetrates into the deep-submicrometer regime, leading to an undesirably large junction capacitance and degraded mobility. By studying the scaling of fully depleted SOI devices, the important concept of controlling horizontal leakage through vertical structures is highlighted. Several structural variations of conventional SOI structures are discussed in terms of a natural length scale to guide the design. The concept of vertical doping engineering can also be realized in bulk Si to obtain good subthreshold characteristics without large junction capacitance or heavy channel doping     

RSA:给电信业从头到脚的保护

随着电信服务越来越多地融入大众生活,安全正以前所未有的速度成为电信行业所面临的棘手问题。从电信运营商到使用移动业务的终端用户,安全都不再是纸上谈兵的长远规划,而是时时刻刻相关的实际问题。     

Going beyond ADR: A federal sector mission‐ and work life‐centered approach to building collaboration and democratic values on the job

Judy Cohen, of New York, reports on potential adaptations of collaborative approaches to structuring workplaces in describing her work at the Federal Aviation Administration.     

Generation of Palladium Nanoparticles within Macrocellular Polymeric Supports: Application to Heterogeneous Catalysis of the Suzuki–Miyaura Coupling Reaction

We present new hybrid organic/inorganic materials dedicated to heterogeneous catalysis. The systems are obtained by the polymerization of a high internal phase reverse emulsion (the so‐called polyHIPE porous materials) and have been further functionalized with various organic groups in order to promote the growth of palladium nanoparticles on its surface. Final supports are then tested for their ability to catalyze the Suzuki–Miyaura coupling reaction, and one material exhibits better activity than the well‐known Pd@C powder system. Furthermore, the catalytic activities of these materials are close to those obtained with their homogeneous catalysis counterpart. These new supports remain active towards a wide range of substrates associated with Suzuki–Miyaura carbon–carbon coupling reactions.