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Noise estimation and avoidance are becoming very important issues in today's high performance IC design. This paper presents a much improved, highly accurate and efficient noise model called 2-π model for the estimation of crosstalk noise. The proposed model incorporates all the physical properties including victim and aggressor drivers, distributed RC characteristics of interconnects and coupling locations of both victim and aggressor lines. Then with the help of this model, expressions for peak noise and noise width as well as sensitivity expressions to the various model parameters are calculated. We then use these sensitivity expressions to analyze and evaluate the effectiveness of various noise avoidance techniques for the reduction of this crosstalk noise. [ABSTRACT FROM PUBLISHER]

Most organizations deploy Signature based Intrusion Detection Systems (IDS) to monitor network activities for signs of security violations and these systems generate alerts whenever a known intrusion signature is detected in the network traffic. However, IDSs are known for generating many alerts, most of them being false. This makes the job of security analyst tougher as he/she has to sift through security events to filter out relevant alerts. In this process, the high priority alerts are not addressed quickly and there is a great risk of a legitimate attack going unnoticed. Many researchers have suggested various means of classifying the IDS alerts. A potentially useful candidate is to use network contextual information to segregate relevant and non-relevant alerts. In this paper we describe PIKE, Post-processor for IDS alerts using Knowledge-based Evaluation, a system that uses background information about the hosts present on the network and the vulnerability exploited to generate a score for each alert. The score is measure of the importance of the alert. A simple binary classifier then classifies the alert as relevant or irrelevant based on value of score threshold. PIKE makes the life of security analyst simpler by presenting the classified alerts which allows him/her to focus solely on the important alerts. We evaluate PIKE for a custom dataset and demonstrate the effectiveness of using contextual sensitivity as a basis of classification. [ABSTRACT FROM PUBLISHER]

The Elmore delay has been the metric of choice for the performance driven design applications. But the accuracy of the Elmore delay is insufficient. This paper presents an accurate and efficient model to compute the delay metric of on-chip high speed VLSI interconnects for ramp inputs. The proposed delay metric is based on the distributed RC interconnect model. For optimization like physical synthesis and static timing analysis, efficient interconnect delay computation is critical. In this paper, a delay metric using RC-out has been formulated which computes the delay at the output node. The proposed model is based on the first three moments of the impulse response. Two pole RC model is developed based on the first, second and third moments' effect onto the delay calculation for interconnect lines. This two pole approach permits the pre-characterization of the interconnect delay. The empirical D3M metric is shown to be a typical case. The proposed metric also provides an expression for impulse response. The SPICE simulation results justify the accuracy and efficacy of the proposed model. [ABSTRACT FROM PUBLISHER]

Technologically, lithium tantalate is one of the most important ferroelectric materials with a low poling field that has several applications in the field of photonics and memory switching devices. Due to strong localization coupled with discreteness in a nonlinear K-G lattice, there is a formation of breathers and multi-breathers that manifest in the localized peaks across the domains in polarization-space-time plot. To probe the quantum states related to discrete breathers for the application in nano technology, the same K-G lattice is quantized to give rise to quantum breathers (QBs) that are explained by a periodic boundary condition. Secondly, in a non-periodic boundary condition, the temporal evolution of quanta shows interesting behavior as a function of impurity that is important from design viewpoint for the THz applications. [ABSTRACT FROM PUBLISHER]