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Thermal error accounts for a large proportion in the error sources of the machine tool. In this paper, the thermal error of a boring and milling machine tool is modeled with the output error model of timing analysis. In order to improve the prediction accuracy, Firefly algorithm is used to optimize the number of groups and the orders of output error model. A compensation system is developed based...
The DC power flow model is in widespread utilization in electricity-market applications and contingency analysis. The presented versions of this model can be classified into two categories: state-dependent, or Hot-Start, models and state-independent, or Cold-Start, models. A reasonable accuracy is reported in the literature regarding Hot-Start models as they take into account branch losses and bus...
This paper introduces an enhanced equivalent model of the half-bridge symmetrical monopole Modular Multilevel Converter (MMC) topology for the analyses of the electromagnetic transients. As compared with the existing MMC models, the proposed model reduces the simulation computational time without compromising accuracy, and contrary to the existing models, it provides accurate representation of the...
Learning analytics is valuable sources of understanding students' behavior and giving feedback to them so that we can improve their learning activities. Analyzing comment data written by students after each lesson helps to grasp their learning attitudes and situations. They can be a powerful source of data for all forms of assessment. In the current study, we break down student comments into different...
The distribution grid is changing to become an active resource with complex modeling needs. The new active distribution grid will, within the next ten years, contain a complex mix of load, generation, storage and automated resources all operating with different objectives on different time scales from each other and requiring detailed analysis. Electrical analysis tools that are used to perform capacity...
The analysis of electroencephalogram (EEG) signal is a low-cost and effective technique to examine electrical activity of the brain and diagnose brain diseases in the Brain Computer Interface (BCI) applications. Classification of EEG signals is an important task in BCI applications. This paper investigates two common methods of feature extraction on EEG signals, autoregressive (AR) model and approximate...
In this paper, we evaluate the extraction method of the inversion layer mobility using a drain current analysis model. The model parameters have been extracted from the measured value of the current characteristics of a high mobility InGaAs n-MOSFET. The analysis model has the gate voltage dependence of the channel length modulation coefficient. It is found that the mobility shows within 10 percent...
When the Global Positioning System is unavailable, cellular networks become the dominant vehicle for positioning. However, no tractable approach exists for gaining general insights into localization performance in such networks. Instead, analysis is often done using deterministic network models or with complex system-level simulations, resulting in highly context-specific insights, which do not translate...
The chances of winning highly valued Information Technology (IT) service contracts are influenced by various factors. Identifying key factors driving the competition and the early prediction of the outcome (either winning or losing such sales opportunities) can have significant business benefits. Given the complexity of IT services, range of potential attributes, and scarcity of comparable data sets,...
This study aims to predict the medium-term electricity load demand of Thailand using the generalized estimating equation and the linear mixed effect model. The electricity load demand data for the past 12 years (2001 to 2012) are analyzed. It is found that both the methods yield predictive values approximating actual values. However, a comparison in terms of efficiency demonstrates that the generalized...
Transportation and land use planners and modelers often use zone systems to take advantage of readily available socio-economic data in their modelling exercises. The most important issue is that analysis zone size is usually large, and therefore, homogeneous or single-type land uses cannot be achieved in many cases. Subsequently, intra-zone travel and mixed activities distribution cannot be captured...
Within-Sample Choice Distribution and Sample size are important considerations in the estimation of logit model, but their effects on the estimation accuracy have not been systematically studied. Therefore, the objective of this paper is to provide an empirical examination to the above issues through a set of simulated choice datasets. In this paper, the utility function coefficients and alternative...
Behavioral modeling of nonlinear passband systems like radio frequency power amplifiers is mainly based on polynomial baseband models. Motivated by the convolution property of the Fourier transform applied to passband signals, it is common practice to include only odd-order terms in these models. Experimental results show, however, that significant improvements can be achieved by also including even-order...
This paper provides the first evidence, using listed Japanese companies, that information in accruals has become more helpful as an early warning indicator of Financial Statement Fraud when they are appropriately preprocessed.
Deception is pervasive, often leading to adverse consequences for individuals, organizations, and society. Information systems researchers are developing tools and evaluating sensors that can be used to augment human deception judgments. One sensor exhibiting particular promise is the eye tracker. Prior work evaluating eye trackers for deception detection has focused on the detection and interpretation...
Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated parameters. In this paper, we propose a system consisting of three inertial-sensor-based measuring components, a remote controller, and an analysis software for automatic balance and...
With the introduction of Nix process nodes, leading-edge factories are facing challenging demands in shrinking design margins. Previously uncorrected high-order signatures, and uncompensated temporal changes of high-order signatures, carry an important potential for improvement of on-product overlay (OPO). Until recently, static corrections per exposure (CPE), applied separately from the main APC...
Modelling of hysteresis in soft magnetic materials is necessary for accurate transient studies of transformers and electrical machines. The phenomena such as magnetization inrush currents and ferroresonance are directly resultants of the hysteresis properties. A proper model for numerical transient analyses should be easy regarding implementation and parameter estimation. In [1], authors introduced...
The distorted exponential signal can be decomposed on exponential components with different amplitudes and time constants. Under the hypothesis to model this signal by multi exponential function, different algorithms were pointed out to extract the distortion parameters. In the paper is proposed an algorithm that takes into analysis real exponential signal affected by quantization noise, offset and...
Nighttime traffic flow congestion estimation is a challenging problem, the use of a model for describing the traffic parameters is a good solutions but it is necessary to have an accurate information about the traffic's state before constructing the model. In this paper we propose a new method for developing a road traffic flow model in this challenging situation using accurately measured traffic...
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