A generalized correlation attack on a class of stream ciphers based on the Levenshtein distance

A statistical approach to cryptanalysis of a memoryless function of clock-controlled shift registers is introduced. In the case of zero-order correlation immunity, an algorithm for a shift register initial state reconstruction based on the sequence comparison concept is proposed. A constrained Levenshtein distance relevant for the cryptanalysis is defined and a novel recursive procedure for its efficient computation is derived. Preliminary experimental results are given and open theoretic problems are discussed.Following [11], a Boolean function f(x ₁,..., x _n) is said to be mth-order correlation immune if m is the maximum integer such that the random variable f(X ₁,..., X _n) is statistically independent of every set of m random variables chosen from the balanced and independent binary random variables X ₁,..., X _n.     

Tree Recovery in PIM Sparse Mode

A PIM–SM-built multicast tree must be restructured when the underlying unicast routing tables change. We describe the PIM–SM recovery mechanisms and evaluate the recovery performance, showing its dependence on a range of network and session parameters. Our results show that a substantial packet loss can be caused by nonreductive, benign events in the network, such as an addition of a new link. We propose and evaluate an improvement to the standard PIM–SM recovery procedure aimed to reduce the packet loss caused by the benign events. Our evaluation shows that the data loss caused by these events can be significantly decreased regardless of the topology and session parameters.     

蓝宝石光纤法布里-珀罗高温传感的实验研究

进行了基于蓝宝石光纤及晶片的光纤法布里- 珀罗(F-P)高温传感器研究。理论仿真分析了传感器温度传感灵敏度及干涉光谱信号质量 随蓝宝石晶片厚度 变化趋势。结果表明,在信噪比(SNR)为30〖J P ＋2〗dB、晶片厚为75μm时,可避免干涉光谱信号波峰干涉级次跳 变问题, 同时获得3.114nm/℃(1080℃)的温度传感 灵敏度。建立了高温传感器系统,并基于干涉光谱相位分析算法 进行解调,实现了130～1080℃测温范围,测 温误差小于±2.45℃, 1080℃下温度传感灵敏度测试值为2. 973nm/℃,与理论温度传感灵敏度基本吻合。     

Multilevel statistical inference from functional near-infrared spectroscopy data during stroop interference

Functional near-infrared spectroscopy (fNIRS) is an emerging technique for monitoring the concentration changes of oxy- and deoxy-hemoglobin (oxy-Hb and deoxy-Hb) in the brain. An important consideration in fNIRS-based neuroimaging modality is to conduct group-level analysis from a set of time series measured from a group of subjects. We investigate the feasibility of multilevel statistical inference for fNIRS. As a case study, we search for hemodynamic activations in the prefrontal cortex during Stroop interference. Hierarchical general linear model (GLM) is used for making this multilevel analysis. Activation patterns both at the subject and group level are investigated on a comparative basis using various classical and Bayesian inference methods. All methods showed consistent left lateral prefrontal cortex activation for oxy-Hb during interference condition, while the effects were much less pronounced for deoxy-Hb. Our analysis showed that mixed effects or Bayesian models are more convenient for faithful analysis of fNIRS data. We arrived at two important conclusions. First, fNIRS has the capability to identify activations at the group level, and second, the mixed effects or Bayesian model is the appropriate mechanism to pass from subject to group-level inference.     

Electrically Active States of Charge Capture and Transfer Causing Slow Recombination in Thallium-Bromide Crystals at Low Temperatures

TlBr single crystals grown by the Bridgman–Stockbarger method are studied. It is established that frozen-conductivity effects manifest themselves under interband excitation by light at temperatures below 200 K. Herewith, clearly pronounced superlinear dependences of the induced photoconductivity on the strength of the applied electric field manifest themselves. The results of studying thermally stimulated conductivity evidence that these phenomena can be associated with the filling of trap states with thermal activation energies of 0.08–0.12 eV. This state can be removed due to thermal quenching at temperatures of ?180 K because of the emptying of energy states with an activation energy of 0.63–0.65 eV filled after optical generation.     

Characterization and Optimization of a Resonant Cavity Enhanced P-i-N Photodiode Response

This paper presents linear pulse response of a Resonant Cavity Enhanced (RCE) P-i-N fotodiode. The RCE P-i-N photodiode designed for high-speed aplication is analysed for various submicron thicknesses of absorption layer, bias voltages, active areas and incident pulse optical excitations. The results are obtained by numerical simulation of the complete phenomenological model for two valley semiconductor. Great enhancement of the quantum efficiency and the product bandwidth-quantum efficiency, is obvious from obtained results for this photodiode type.     

The application of Ramo's theorem to the impulse response calculation of a reach-through avalanche photodiode

A method for calculation the impulse response of a depletion layer of a semiconductor device based on Ramo's theorem is described. Using this method the impulse response of a reach-through avalanche photodiode is derived.     

Neural Network Based Receiver for Multiuser Detection in MC-CDMA Systems

In this paper, we present a multiuser detection technique based on artificial neural network (NN) for synchronous multicarrier code division multiple access systems over Rayleigh fading channels. To test the robustness of the proposed receiver, also the effect of power control problem is studied with a comparative manner. Bit error rate (BER) performance of the NN based receiver is compared with the single user bound and conventional receivers. Although the BER performance of the conventional receiver degrades as the number of the users and power level differences among the users increase, as a decision structure, neural network based receiver gives closer BER performance to the single user bound.     

A new peak detector based on usage of second-generation current conveyors

A new precision peak detector (full-wave rectifier) of input sinusoidal signals, which employs four two second-generation current conveyors and five metal-oxide-semiconductor transistors, is presented in this paper. The circuit gives a dc output voltage that is the peak input voltage over a wide frequency range, with a very low ripple voltage and low harmonic distortion. The proposed circuits use an all-pass filter as a 90° phase shifter of the processed input signal. The results of the calculations are verified using SPICE simulations.     

Layout-synthesis techniques for yield enhancement

Several yield-enhancement techniques are proposed for the last two stages of VLSI design, i.e., topological/symbolic and physical layout synthesis. Our approach is based on modifications of the symbolic/physical layout to reduce the sensitivity of the design to random point defects without increasing the area, rather than fault tolerance techniques. A layout compaction algorithm is presented and the yield improvement results of some industrial layout examples are shown. This algorithm has been implemented in a commercial CAD framework. Some routing techniques for wire length and via minimization are presented, and the results of wire length reduction in benchmark routing examples are shown. We demonstrate through topological optimization for PLA-based designs that yield enhancement can be applied even at a higher level of design abstraction. Experimental results show that it is possible to achieve significant yield improvements without increasing the layout area by applying the proposed techniques during layout synthesis