Combining Coarse-Grained Software Pipelining with DVS for Scheduling Real-Time Periodic Dependent Tasks on Multi-Core Embedded Systems

In this paper, we combine coarse-grained software pipelining with DVS (Dynamic Voltage/Frequency Scaling) for optimizing energy consumption of stream-based multimedia applications on multi-core embedded systems. By exploiting the potential of multi-core architecture and the characteristic of streaming applications, we propose a two-phase approach to solve the energy minimization problem for periodic dependent tasks on multi-core processors with discrete voltage levels. With our approach, in the first phase, we propose a coarse-grained task-level software pipelining algorithm called RDAG to transform the periodic dependent tasks into a set of independent tasks based on the retiming technique (Leiserson and Saxe, Algorithmica 6:5–35, 1991). In the second phase, we propose two DVS scheduling algorithms for energy minimization. For single-core processors, we propose a pseudo-polynomial algorithm based on dynamic programming that can achieve optimal solution. For multi-core processors, we propose a novel scheduling algorithm called SpringS which works like a spring and can effectively reduce energy consumption by iteratively adjusting task scheduling and voltage selection. We conduct experiments with a set of benchmarks from E3S (Dick 2008) and TGFF () based on the power model of the AMD Mobile Athlon4 DVS processor. The experimental results show that our technique can achieve 12.7% energy saving compared with the algorithms in Zhang et al. (2002) on average.

Flexible Osteogenic Glue as an All-In-One Solution to Assist Fracture Fixation and Healing

Osteogenic glue that reproduces the natural bone composition represents the final frontier of orthopedic adhesives with the potential to revolutionize surgical strategies against comminuted fractures. However, it is difficult to achieve an all-in-one formula, which could provide flexible and reliable adhesiveness while avoiding interfering with or even promoting the healing of glued fractures. Herein, an osteogenic glue characterized by inorganic-in-organic integration between amine-modified mesoporous bioactive glass nanoparticles (AMBGN) and bioadhesive gelatin-dextran network (GelDex) is introduced as an all-in-one tool to flexibly adhere and splice bone fragments and subsequently guide fracture healing during degradation. Relying on such integration, a 4-fold improvement in cohesiveness is presented, followed by a nearly 5-fold enhancement in adhesive strength in ex vivo porcine bone samples. The reversible and re-adjustable adhesiveness also enables glue to effectively splice intricate fragments from highly comminuted fractures in the rabbit radius in an in vivo environment. Moreover, well-preserved organic–inorganic integrity during degradation of the glue guides sustained interfacial osteogenesis and achieve satisfying healing outcomes in glued fractures, as observed by the 2-fold improvement in biomechanical and radiological performance compared with commercially available cyanoacrylate adhesives. The current findings propose an all-in-one solution for the fixation of bone fragments during surgery.     

Green Base Station Solutions and Technology

Base station power consumption is the biggest power issue concerning wireless networks. Saving power in base stations is therefore the primary focus in green wireless network development. This paper discusses green base stations in terms of system architecture, base station form, power saving technologies, and green technology applications. It explores effective ways of reducing power consumption in base stations.     

拉曼光谱结合Adaboost算法的食源性致病菌分类识别

食源性致病菌的检测分类一直是食品安全领域的重要研究对象,与传统的病原菌分类方法相比,基于拉曼光谱的分类识别方法具有更高的灵活性和准确性.实验以常见食源性致病菌的拉曼光谱为对象,利用11种病原菌的132条光谱数据,提出一种基于主成成分分析(PCA)和线性判别分析(LDA)的Adaboost集成分类识别模型.实验结果表明,...     

用于制造微波多芯片组件的LTCC技术

低温共烧陶瓷(LTCC)是实现微波多芯片组件(MMCM)的一种理想的组装技术,具有高集成密度、多种电路功能和高可靠性等技术优势.介绍了国内外应用于微波组件的LTCC技术发展现状,概述了LTCC的制造工艺流程,分析了其关键工艺难点,对LTCC基板电路的设计进行了详细阐述,并讨论了埋层电阻的设计和微带线和带状线间的垂直微波互联的方式.利用LTCC技术研制的微波多芯片组件,在现代雷达和通讯领域具有广泛的应用前景.     

POS信号中IP包提取的设计及实现

针对目前广泛应用的POS技术,文章主要研究了POS信号中PPP／HDLC,LAPS／HDLC,SDL三种映射协议的封装格式及映射方式,提出了从POS信号中提取出IP数据包的方法,并用软件编程实现。     

LD抽运355-nm准连续紫外激光器

报道了激光二极管(LD)侧面抽运Nd:YAG激光晶体腔内三倍频355 nm紫外激光器.实验中采用声光调Q技术,选用结构简单、紧凑的三镜折叠、平一凹腔设计,在腔内对1064 nm基波采用Ⅰ类相位匹配LiB3O5(LBO)晶体二倍频、Ⅱ类相位匹配LBO晶体实现三倍频,获得了较好光束质量的准连续紫外激光输出.在激光二极管抽运功率为155 W,声光调Q的调制频率为5.40 kHz的工作条件下,获得脉宽为45 ns,最高平均输出功率为2.14 W,光场均匀分布的355 nm准连续紫外激光,808 nm抽运光到355 nm紫外激光的光-光转换效率达到1.38%,1 h内输出稳定性为3.30%.此外,对影响腔内三倍频转换效率的因素进行了相应的分析研究.     

半导体激光器电吸收调制器和双波导模斑转换器的单片集成

报道了1.6μm的半导体激光器和电吸收调制器以及双波导模斑转换器的单片集成器件.该器件具有良好的单横模特性和准单纵模特性(边模抑制比达25.6dB),3dB调制带宽为15GHz,直流消光比为16.2dB,远场发散角为7.3°×18.0°,和单模光纤的耦合效率达3.0dB.     

双端泵Nd:YVO4固体激光器泵浦的高功率光参量振荡器

报道了基于双端泵Nd:YVO4固体脉冲激光器泵浦的基于周期性畴极化反转氧化镁掺杂铌酸锂晶体(PPMgLN)的光参量振荡器(OPO)。双端泵Nd:YVO4固体脉冲激光器采用激光二极管作为双端泵浦源,在25 kHz重频下获得了平均功率为23.5 W的1064 nm近基模线偏振激光输出。使用该激光器泵浦一个基于PPMgLN的OPO,获得了平均功率为3.54 W的3.83μm中红外激光输出。OPO的斜率效率为65.2%,其中,从1.064μm到3.83μm的斜率效率为18.1%。该系统结构十分紧凑、成本低、实用性强,在4 h内的稳定度小于4%,具有较高的应用价值。