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Volterra series have been popular in non-linear system analysis and modeling for a long time. Volterra representation adapts the convolution concept from linear time-invariant (LTI) systems, generalizes it to “super convolutions” and, hence, are able to characterize the dynamical behavior of non-linear circuits using familiar LTI techniques. It is extensively used in white-box verification problems...
A method to extract an equivalent array of dipole-moments model from only the magnitude data of near-field scan is proposed. The method can extract both magnitude and phases of the equivalent dipole-moments by using the nonlinear least square (NLS) method, although the information used for source modeling is limited to only the field magnitudes. The truncated singular-value decomposition (SVD) method...
In many cases, the information spread in an online network may not always be truthful or correct; such information corresponds to rumors. In recent years, signed networks have become increasingly popular because of their ability to represent diverse relationships such as friends, enemies, trust, and distrust. Signed networks are ideal for information flow in a network with varying beliefs (trust or...
In this paper the variability of supercapacitor fractional-order model parameters are explored when extracted using a non-linear least squares optimization applied to their constant current discharging behaviour. The variability of parameters extracted 1000 different times applying the optimization process to multiple sets of simulated and experimental data are presented to validate this approach...
The failure of operating mechanism occupies the absolute majority of the high voltage circuit breaker failure. Identification and prediction of operating mechanism of the failure of high voltage circuit has a great effect in breaker maintenance and overhaul. In this paper, a mechanical status identification method based on covariance matrix is used to get mechanical characteristic signals from the...
To aggregate opinions on aspects of entities mentioned in large-scale online reviews, it is important to automatically extract aspects of different granularities, identify associated opinions, especially aspect-specific opinions, and classify sentiment polarity. Recently, various topic models are proposed to process some of these tasks, but there is little work available to do all simultaneously....
In this paper the variability of the Cole-impedance parameters, extracted from magnitude-only measurements using a two-electrode setup are examined. Eight electrodes placed around the centre latitudinal line of an apple are used to collect magnitude measurements from 200 Hz to 1 MHz. Parameters are extracted in MATLAB using a non-linear least squares fitting (NLSF) algorithm, with simulations showing...
The rapid growth of information technology along with variety of digital data generation provides an opportunity to better understand human dynamics. However, knowing and obtaining complete information about events and activities that happen, becomes a complicated task in Natural Language Processing (NLP) and location based social networks. In this research, we introduce a new approach to recognize...
With the recent advances in information networks, the problem of identifying group structure or communities has received a significant amount of attention. Most of the existing principles of community detection or clustering mainly focus on either the topological structure of a network or the node attributes separately, while both of the two aspects provide valuable information to characterize the...
This paper concerns electromagnetic vibration energy harvesters. The knowledge of the equivalent electric circuit of electromagnetic harvesters is a fundamental need in order to be able to carry out numerical simulations of electromagnetic vibration harvesters. The aim of this paper is the description of a suitable procedure leading to the determination of the parameters of such an equivalent electric...
Information diffusion model plays an important role in many real-world applications such as online marketing and e-government campaigns. Existing approaches often predict information diffusion by examining whether events are triggered by external trends or the social network itself. However, existing methods cannot take into account the semantically rich "topics" to estimate the correlations...
Accurate simulation of photovoltaic (PV) modules is strongly dependent on parameters that are not given in manufacturers' data sheet. Number of parameters depend on type equivalent circuit models: Rs-, Rp-, and 2-diode models with four, five and seven unknown parameters respectively. Availability of different parameter extraction techniques has been presented and broadly classified as analytical,...
The process of testing Integrated Circuits involves a huge amount of data: electrical circuit measurements, information from wafer process monitors, spatial location of the dies, wafer lot numbers, etc. In addition, the relationships between faults, process variations and circuit performance are likely to be very complex and non-linear. Test (and its extension to diagnosis) should be considered as...
A simple method is introduced to design an analog amplifier using Alpha-Power MOS law model in submicron region. Design starts by estimation of three unknown parameter α, VTH and k in Alpha-Power MOS law model from the simulated I-V values of a device characteristics, so that the simulated drain current should fit the Alpha-Power based drain current equation. Device dimension setup using the estimated...
How to maximize influence through social networks is a key challenge behind many important applications in real life. For instance, marketers are interested in how to use limited resource to promote a new product as widely recognized by consumers. In recent years, researchers have conducted numerous studies to conquer this intriguing problem in single network scenario. In terms of the scale of achieved...
It is well known that many social networks follow the homophily principle, dictating that individuals tend to connect with similar peers. Past studies focused on non-topological properties, such as the age, gender, beliefs or educations. In this paper we focus precisely on the topology itself, exploring the possible existence of pairwise role dependency, that is, purely structural homophily. We show...
Social network influence maximization problem aims to design algorithms that can maximize the scope of the nodes affected by the specified nodes set. This paper studies and improves existing algorithms by the introduction of hidden influence and floating influence. Experiments show that the HGA algorithm works more effectively.
Modern analytic large-signal equivalent circuit models of microwave III-V active devices such as high electron mobility transistors (HEMTs) normally require a large effort in two-dimensional (2D) data fitting and extraction of parameter sets for numerical functions. In this paper, an entire automatic extraction procedure is proposed which relies on a decomposition of numerical function data into one-dimensional...
The emitter series resistance is a very important parameter for bipolar transistors since it can have a significant impact on both the DC and high-frequency characteristics of transistors. Its accurate determination is quite difficult due to the complicated emitter material stack and the lack of suitable test structures. Thus, extraction methods that rely on transistor terminal characteristics must...
In this paper, a method for signal integrity (SI) analysis based on computed tomography (CT) scans is proposed. SI analysis based on state-of-the-art measurements can be difficult to perform if the structures of interest are on inner layers of multi-layer boards, are enclosed by IC packages or if appropriate contacts for measurements cannot be provided due to cost and space reasons. In contrast to...
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