Low-Power CMOS VCO with Dual-Band Local Oscillating Signal Outputs for 5/2. 5-GHz WLAN Transceivers

The paper describes a novel low-power CMOS voltage-controlled oscillator (VCO) with dual-band local oscillating (LO) signal outputs for 5/2. 5-GHz wireless local area network (WLAN) transceivers. The VCO is based on an on-chip symmetrical spiral inductor and a differential varactor. The 2. 5-GHz quadrature LO signals are generated using the injection-locked frequency divider (ILFD) technique. The ILFD structure is similar to the VCO structure with its wide tracking range. The design tool ASITIC was used to optimize all on-chip symmetrical inductors. The power consumption was kept low with differential LC tanks and the ILFD technique. The circuit was implemented in a 0.18-fim CMOS process. Hspice and SpectreRF simulations show the proposed circuit could generate low phase noise 5/2. 5-GHz dual band LO signals with a wide tuning range. The 2. 5-GHz LO signals are quadrature with almost no phase and amplitude errors. The circuit consumes less than 5. 3mW in the tuning range with a power supply voltage of 1     

Optimization of PZT-Based Radio-Frequency Filters

Analytical solutions are presented for the wave equation for the electrode-piezoelectric-electrode sandwich structure in film bulk acoustic resonators (FBAR). The impedance for lead-zirconate-titanate (PZT)-based FBAR was derived using the proper boundary conditions and material parameters. A method is presented to adjust the resonant frequency based on the process and material properties. Ferroelectric-based radio-frequency filters were designed using FBARs. An accurate result is given for the filter impedance which can be used for other piezoelectric devices.     

Treatment of Organic Compounds in Reclaimed Wastewater for Groundwater Recharge

To study water quality problems associated with groundwater recharge, a tertiary treatment process, consisting of coagulation, sand filtration, and granular activated carbon (GAC) adsorption, was used in combination with a simulated soil aquifer treatment. The process significantly improved secondary effluent quality. GAC adsorption reduced organic substances expressed by UV-254, dissolved organic carbon as well as partially adsorbable organic halogens. The results of the Ames test show that the secondary effluent contains a high concentration of mutagens. GAC filtration removed adsorbable organic bromine slightly whereas GAC adsorption removed mutagens effectively. The simulated soil aquifer treatment was able to further reduce UV-254, dissolved organic carbon, and adsorbable organic halogens through biodegradation. Adsorbable organic bromine levels were also reduced by the soil aquifer treatment process. The given reclamation technology used for groundwater recharge is of benefit to the removal of dissolved organic carbon, UV-254, adsorbable organic halogens, and rnutagenicity.     

Dynamic Investigation of Interface Stress on Below-Knee Residual Limb in a Prosthetic Socket

The dynamic effects of inertial loads on the interface stresses between a residual limb and the trans-tibial prosthetic socket were investigated. A 3-D nonlinear finite element model, based on the actual geometry of the residual limb, including internal bones and socket liner, was developed to study the mechanical interaction between the socket and the residual limb during walking. To simulate the friction/slip boundary conditions between the skin and liner, automated surface-to-surface contact was used. The results show that interface pressure and shear stress have a similar double-peaked waveform shape in the stance phase. The average difference in interface stresses between the cases with and without consideration of inertial forces is 8.4% in the stance phase and 20.1% in the swing phase. The results suggest that the dynamic effects of inertial loads on interface stress distribution during walking must be considered in prosthetic socket design.     

航天飞船座椅着陆缓冲系统的力学模型

为了分析载人飞船返回舱人椅系统着陆过程特点和减小其冲击过载,建立了一个典型缓冲系统的力学模型,给出了运动过程和主要评价指标的计算方法和公式,并通过典型工况进行了实验验证。讨论了部分边界条件、设计和评价参数对转动中心、头部加速度峰值、做功和行程的影响。结果表明,减小缓冲力阈值,可以减小座椅的胸背向加速度,但对头盆向加速度影响不大;水平速度和加速度会影响到缓冲器的工作特性,通过减小初始速度和输入加速度可以降低各个方向的过载。     

基于鲁棒成本函数的随机模糊神经网络参数学习算法

为了解决采用最小方差型的误差成本函数进行输入含噪系统参数学习时的随机模糊神经网络(SFNN)参数不能收敛至真值的问题,将包含噪声方差的误差成本函数推广到多入单出系统,并根据鲁棒统计学理论和目标函数在参数学习中的导向作用,对目标函数进行修正,使之对于不服从统计分布的粗大误差也能有效处理.在此基础上提出了SFNN的鲁棒参数学习算法,并且输入输出数据中的噪声方差也通过学习而得到,从而避免了需要多次测量的要求.结果表明,SFNN的鲁棒参数学习算法能抑制粗大误差和系统噪声.最后,通过仿真对比验证表明了该方法的有效性.     

A Survey of Bitmap Index Compression Algorithms for Big Data

With the growing popularity of Internet applications and the widespread use of mobile Internet, Internet traffic has maintained rapid growth over the past two decades. Internet Traffic Archival Systems(ITAS) for packets or flow records have become more and more widely used in network monitoring, network troubleshooting, and user behavior and experience analysis. Among the three key technologies in ITAS, we focus on bitmap index compression algorithm and give a detailed survey in this paper. The current state-of-the-art bitmap index encoding schemes include: BBC, WAH, PLWAH, EWAH, PWAH, CONCISE, COMPAX, VLC, DF-WAH, and VAL-WAH. Based on differences in segmentation, chunking, merge compress, and Near Identical(NI) features, we provide a thorough categorization of the state-of-the-art bitmap index compression algorithms. We also propose some new bitmap index encoding algorithms, such as SECOMPAX, ICX, MASC, and PLWAH+, and present the state diagrams for their encoding algorithms. We then evaluate their CPU and GPU implementations with a real Internet trace from CAIDA. Finally, we summarize and discuss the future direction of bitmap index compression algorithms. Beyond the application in network security and network forensic, bitmap index compression with faster bitwise-logical operations and reduced search space is widely used in analysis in genome data, geographical information system, graph databases, image retrieval, Internet of things, etc. It is expected that bitmap index compression will thrive and be prosperous again in Big Data era since 1980s.     

Supply Chain Coordination of Loss-Averse Newsvendor with Contract

This paper studies a supply chain model in which a single supplier sells a single product to a single retailer who faces the newsvendor problem. The retailer is loss averse. The results show that the optimal production quantity with decentralized decision making with a wholesale price contract is less than that with centralized decision making. The supply chain can achieve channel coordination with buy back and target rebate contracts. With buy back contracts, the supply chain system profits can be allocated arbitrarily between the supplier and retailer. A new kind of contract, the incremental buy back contract, gives similar results as with the buy back contract. The advantages and drawbacks of these three types of contracts are analyzed with numerical examples.     

Upper Bounds for Ruin Probability with Stochastic Investment Return

Risk models with stochastic investment return are widely held in practice, as well as in more challenging research fields. Risk theory is mainly concerned with ruin probability, and a tight bound for ruin probability is the best for practical use. This paper presents a discrete time risk model with stochastic investment return. Conditional expectation properties and martingale inequalities are used to obtain both exponential and non-exponential upper bounds for the ruin probability.     

Economic Assessment of Large Grid-connected Wind Farms--Avoided Cost Method

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