槽式聚光太阳能系统太阳电池阵列

基于槽式聚光太阳能系统分别对单晶硅电池阵列、多品硅电池阵列、空间太阳电池阵列和砷化镓电池阵列进行测试实验.结果表明,聚光后,前3种电池阵列的Ⅰ-Ⅴ曲线都趋于直线,输出功率急剧减少,系统效率下降较快.而砷化镓电池阵列有较好的Ⅰ-Ⅴ曲线,其效率由聚光前的23.66%增加到26.50%,理论聚光比为16.92时,输出功率放大11.2倍,聚光光伏系统中町采用砷化镓电池阵列以提高效率.砷化镓电池阵列Pm、FF和η的温度系数分别为-0.12W/K、-0.10%/K和-0.21%/K,为避免温度的影响须采用强制冷却方式保证电池效率,同时对外供热.研究表明,10片单晶硅电池串联阵列最佳工作时的理论聚光比为4.23;16片空间太阳电池串联阵列最佳工作时的理论聚光比为8.46.研究工作对提高槽式聚光系统效率和大规模利用聚光光伏发电提供了依据.     

定位技术在奥运“城市通”系统中的应用

作为2008年奥运会的举办城市,北京将会成为国内外游客主要聚集的地区,为了向用户提供"随时随地、方便快捷"的信息查询和位置查询服务,中国网通集团研究院开发了奥运"城市通"系统,通过该系统,用户可以使用一个具有定位功能的小灵通终端进行餐饮、娱乐、观光的出行导航和综合城市信息、企业信息的查询,因此,定位技术是实现"城市通"业务的核心,为开发其他增值业务提供了基础,本文将详细介绍定位技术在"城市通"业务中的应用。     

On Guaranteed Smooth Switching for Buffered Crossbar Switches

Scalability considerations drive the evolution of switch design from output queueing to input queueing and further to combined input and crosspoint queueing (CICQ). However, CICQ switches with credit-based flow control face new challenges of scalability and predictability. In this paper, we propose a novel approach of rate-based smoothed switching, and design a CICQ switch called the smoothed buffered crossbar or sBUX. First, the concept of smoothness is developed from two complementary perspectives of covering and spacing, which, commonly known as fairness and jitter, are unified in the same model. Second, a smoothed multiplexer sMUX is designed that allocates bandwidth among competing flows sharing a link and guarantees almost ideal smoothness for each flow. Third, the buffered crossbar sBUX is designed that uses the scheduler sMUX at each input and output, and a two-cell buffer at each crosspoint. It is proved that sBUX guarantees 100% throughput for real-time services and almost ideal smoothness for each flow. Fourth, an on-line bandwidth regulator is designed that periodically estimates bandwidth demand and generates admissible allocations, which enables sBUX to support best-effort services. Simulation shows almost 100% throughput and multi-microsecond average delay. In particular, neither credit-based flow control or speed-up is used, and arbitrary fabric-internal latency is allowed between line cards and the switch core, simplifying the switch implementation.     

A Highly Parallel Joint VLSI Architecture for Transforms in H.264/AVC

In H.264/AVC, the concept of adapting the transform size to the block size of motion-compensated prediction residue has proven to be an important coding tool. This paper presents highly parallel joint circuit architecture for 8 × 8 and 4 × 4 adaptive block-size transforms in H.264/AVC. By decomposing the 8 × 8 transform to basic 4 × 4 transforms, a unified architecture is designed for both 8 × 8 and 4 × 4 transform and the transform data-path can be efficiently reused for six kinds of transforms. i.e., 8 × 8 forward, 8 × 8 inverse, 4 × 4 forward, 4 × 4 inverse, forward-Hadamard, inverse-Hadamard transforms. Linear shift mapping is applied on the memory buffer to support parallel access both in row and column directions which eliminates the need for a transpose circuit. For reusable and configurable transform data-path, a multiple-stage pipeline is designed to reduce the critical path length and increase throughput. The design is implemented under UMC 0.18 um technology at 200 MHz with 13.651 K logic gates, which can support 1,920 × 1,088 30 fps H.264/AVC HDTV decoder.

基于多维时空的NPCA-PSR-IGM(1,1)组合模型的短时交通流预测

针对城市短时交通流序列非线性和混沌性的特点,为提高短时交通流的预测精度,该文提出一种基于多维时空的非线性主成分分析(NPCA)和相空间重构(PSR)的改进灰色(IGM(1,1))组合预测模型。首先,使用数据相关性的非线性主成分分析算法对多维交通流量序列进行时空降维,同时保留影响预测点的主要交通流量数据,从而提高建模的精...     

基于线性滤波器的四旋翼无人机强化学习控制策略

针对四旋翼无人机(UAVs)系统,该文提出一种基于线性降阶滤波器的深度强化学习(RL)策略,进而设计了一种新型的智能控制方法,有效地提高了旋翼无人机对外界干扰和未建模动态的鲁棒性。首先,基于线性降阶滤波技术,设计了维数更少的滤波器变量作为深度网络的输入,减小了策略的探索空间,提高了策略的探索效率。在此基础上,为了增强策略对稳态误差的感知,该文结合滤波器变量和积分项,设计集总误差作为策略的新输入,提高了旋翼无人机的定位精度。该文的新颖之处在于,首次提出一种基于线性滤波器的深度强化学习策略,有效地消除了未知干扰和未建模动态对四旋翼无人机控制系统的影响,提高了系统的定位精度。对比实验结果表明,该方法能显著地提升旋翼无人机的定位精度和对干扰的鲁棒性。     

Rechargeable Sodium-Based Hybrid Metal-Ion Batteries toward Advanced Energy Storage

Growing demands on energy storage devices have inspired a tremendous amount of research on rechargeable batteries. Future generations of rechargeable batteries are required to have high energy density, long lifespan, low cost, high safety, low environmental impact, and wide commercial affordability. To achieve these goals, significant efforts are underway to focus on electrolyte chemistry, electrode engineering, and new designs for energy storage systems. Herein, a comprehensive overview of an innovative sodium-based hybrid metal-ion battery (HMIBs) for advanced next-generation energy storage is presented. Recent advances on sodium-based HMIBs from the development of reformulated or novel materials associated with Na⁺ ions and other metal ions (such as Li⁺, K⁺, Mg²⁺, Zn²⁺, etc.), are summarized in this work. Daniell cell and “rocking-chair” type batteries are covered. Finally, the current challenges and future remedies in terms of the design and fabrication of new electrolytes, cathodes, and anodes for advanced HMIBs are discussed in this report.     

Photonic Vitrimer Elastomer with Self-Healing,High Toughness,Mechanochromism, and Excellent Durability based on Dynamic Covalent Bond

Vitrimers, with their unique dynamic covalent bonds, possess attractive self-healability and mechanical robustness, providing an intriguing opportunity to construct functional soft materials. However, their potential for function recovery, especially optical function, is underexplored. Harnessing the synergistic effect of photonic crystals and vitrimers, a novel photonic vitrimer with light regulating and self-healing capabilities is presented. The resulting photonic vitrimer exhibits a large tensile strain (>1000%), high toughness (21.2 kJ m⁻³), bright structural color, and mechanochromism. Notably, the structural color remains constant even after 10 000 stretching/releasing cycles, showing superior mechanical stability, creep-resistance, and excellent durability. More importantly, the exchange of dynamic covalent bonds imparts the photonic vitrimer with a self-healing ability (>95% efficiency), enabling the recovery of its optical function. Benefiting from the above merits, the photonic vitrimer has been successfully used as a sensor for human motion detection, which demonstrates visualized interactive sensibility even after self-repairing. This material design provides a general strategy for optical functionalization of vitrimers. The photonic vitrimer elastomers present great potential as resilient functional soft materials for diverse flexible devices and a novel optical platform for soft robotics, smart wearable devices, and human-machine interaction.     

Red AIE Luminogens with Tunable Organelle Specific Anchoring for Live Cell Dynamic Super Resolution Imaging

Lysosomes and mitochondria play an important role in maintaining cell homeostasis. Visualizing the long-term activities of lysosomes and mitochondria on the nanometer scale in live cells is essential for further understanding their functions but remains challenging due to the limitations of existing fluorescent probes, such as aggregation-caused quenching (ACQ) effect, limited signal-to-noise ratio from fluorescence “always on” in the process of targeting organelle and poor photobleaching resistance. Herein, two efficient red-emitting aggregation-induced emission (AIE) luminogens are reported, which showed “off-on” fluorescence characteristic and specific lysosomes as well as mitochondria targeting capability. Owing to their AIE characteristics, a Stokes’ shift larger than 100 nm, good biocompatibility, and excellent photostability, the AIE luminogens have been successfully utilized for high fidelity imaging of lysosomes and mitochondria. By virtue of these two probes, stimulated emission depletion (STED) images of dynamic lysosomal fusion and mitochondrial fission with a high resolution of 65.6 nm are obtained. Furthermore, the interactions between lysosomes and mitochondria in the process of mitophagy are recorded. This study also provides practical guidance for designing specific organelle targeting probes to support live cell dynamic super-resolution imaging.     

Spontaneous Directional Self-Cleaning on the Feathers of the Aquatic Bird Anser cygnoides domesticus Induced by a Transient Superhydrophilicity

In nature, the feathers of the goose Anser cygnoides domesticus stay superhydrophobic over a long term, thought as the main reason for keeping the surface clean. However, contaminants, especially those that are oleophilic or trapped within textures, cannot be removed off the superhydrophobic feathers spontaneously. Here, a different self-cleaning strategy based on superhydrophilic feathers is revealed that is imparted by self-coating of the amphiphilic saliva, which enables removing away low-surface-tension and/or small-size contaminants by forming directional water sheeting depending on their unique anisotropic microstructures. Particularly, the surface superhydrophilicity is switchable to superhydrophobicity upon exposure to air for maintaining a clean surface for a long time, which is further enhanced by coating with self-secreted preening oil. By alternate switching between a transient superhydrophilicity and a long-term stable superhydrophobicity, the goose feathers exhibit an integrated smart self-cleaning strategy, which is also shared by other aquatic birds. An attractive point is the re-entrant structure of the feathers, which facilitates not only liquid spreading on superhydrophilic feathers, but also long-term stability of the cleaned surface by shedding water droplets off the superhydrophobicity feathers. Thus, artificial self-cleaning microtextures are developed. The result renews the common knowledge on the self-cleaning of aquatic bird feathers, offering inspiration for developing bioinspired self-cleaning microtextures and coatings.