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Simulation models commonly describe complex systems with no closed-form analytical representation. This paper proposes an algorithm for functions on continuous domains that fits into the nested partition framework and uses quantile estimation to rank regions and identify the most promising region. Additionally, we apply the optimal computational budget allocation (OCBA) method for allocating sample...
Simulation-based acquisition (SBA) is a robust, collaborative use of modeling and simulation (M&S) technologies that are integrated across acquisition phases and programs. Our research goal is to quantitatively show the benefits from M&S in SBA. To that end, we should consider costs arisen from the use of M&S in SBA, e.g., development costs related with M&S. This paper presents a simulation...
This study illustrates an estimation tool for software test that provides the estimated time and the cost of any sort of software test project. There are different well-recognized estimation tools for software development process [9], however, there remains a lack of standard tools for estimation of Software Test phase. Therefore, the authors developed a web base tool (www.4beats.net/tpet/) in order...
Estimation of the energy consumption rate for electric vehicles (EVs) plays a critical role in a variety of EV eco-driving applications and systems. As a result, quite a few studies have been dedicated to the development of estimation models. To improve the predictive and real-time performance of EV energy consumption rate estimation for eco-driving applications, we proposed herein a hybrid modeling...
This paper analyzes the performance of passive time delay estimation with bandpass signals and generalizes the results of Weiss and Weinstein by considering a more general bandpass signal model with a parameter that allows for increasing the mean-squared bandwidth of the bandpass signal with respect to conventional flat bandpass signals. Analysis of the modified Ziv-Zakai lower bound shows (i) performance...
In this paper, we propose an efficient and robust gross outlier removal method, called the Conceptual Space based Gross Outlier Removal (CSGOR) method, to remove gross outliers for geometric model fitting. In the proposed method, each data point is mapped to a conceptual space by computing the preference of "good" model hypotheses. In the conceptual space, the distributions of inliers and...
Autoregressive model order and parameter estimation technique is proposed and applied for modeling of Lithuanian semivowels. According to experimental results adequate modeling of semivowels requires for model order 72 in average. The appropriate order value differs for female and male voices. Besides, there are remarkable differencies between word starting and middle phones - the last ones are influenced...
One of the problems of user experience prognostication in telecommunication services is the selection of Quality of Service (QoS) indicators, more reflecting users' experience, not the network providers' one. In this paper, we propose definitions and analytical expressions of four new overall network QoS time and traffic efficiency indicators, compared analytically and numerically. Some of them are...
On-road large vehicles are always considered as potential danger, which could generate serious damage and strongly threaten road safety. Hence, large vehicle related accident forecasting becomes an important research topic in intelligence transportation area. In this paper, a large vehicle first clustering method (LVFC) is proposed to estimate the risk level of vehicle group. Composite performance...
Research suggests that there might be a relationship between chewing rate and final energy intake. Wearable sensor systems have been proposed for automatic detection of food intake. This work presents the use of linear regression for estimation of chew counts from piezoelectric sensor signal. For known chewing sequences, four features are computed (number of peaks, valleys, zero crossings and duration...
An improved model for the estimation of the breakdown voltages of gas mixtures is developed. The application and utility of the model is demonstrated by using it in estimating the breakdown voltages of gas mixtures containing helium and hydrogen that are being developed as an alternative cryogenic insulation and cooling media for certain high temperature superconducting (HTS) power devices. The concept...
Today power is an important design metric and the ongoing goal of microprocessor designers is to maximize performance within specified power targets. The key to achieving this goal is the ability to accurately estimate power and performance design points of future products during the high-level micro-architectural design phase (HLD). These estimates are heavily used for feature analysis and product...
Considering the limited FDOA estimation performance for frequency-hopping signal, a coherent accumulation method is developed in this paper. The method normalizes the FDOA of every hopping pulse and then accumulates all these modified CAFs coherently. As a result, it can enlarge the accumulative time length and improve FDOA resolution and accuracy distinctly. Theoretical analysis and simulation results...
In the past decades, wavelet frame models for image restoration have been extensively studied, main reason is due to its good capability of sparsely estimating the piece-wise smooth functions like natural images. The ℓ1 norm of wavelet frame coefficients are penalized as the regularization term is widespread in these models. In this work, we propose a truncated ℓ1-regularized model, besides the classical...
with the expanding of large-scale computing and the undate of computer equirments, energy utiliztion of computer has increasingly exposed the problem of high energy waste. Saving energy in using computer service has become a significant topic. There are lots of factors that can affect energy consumption of computers. Now, people have done much reasearch on how to evalute energy consumption of computer...
In order to reconstruct the all-in-focus image from a conventional camera, a spatially-varying defocus deblurring approach based on blur map and TV/L2 regularization was proposed. Firstly, lenticular defocus model was studied and analyzed, and the principle, characteristic and applicability of disk defocus model and Gaussian defocus model were generalized; Secondly, we modified the local contrast...
Cache is one of the most susceptible microarchitectural components against soft errors since cache memory not only takes up the majority of chip area but also is frequently accessed by other microarchitectural components. Several protection techniques have been proposed in order to improve the cache reliability. These cache protections can significantly affect the overall performance of the entire...
We propose a Success Rate (SR) estimation model for Correlation Power Analysis (CPA) attack on AES-128 encrypted devices. The SR is a ratio between the number of successful attacks to obtain secret key and the total number of attacks. There are two key features in the proposed model. First, we derive the Second Order Standard Deviation (SOSD) of the processed data to analyze their switching activities...
This work investigates sensor signal processing approaches that can be used with a sensor system for direct on-site monitoring of groundwater, enabling detection and quantification of BTEX (benzene, toluene, ethylbenzene and xylene) compounds at μg/L (ppb) concentrations in the presence of interferents commonly found in groundwater. A model for the sensor response to water samples containing multiple...
In this paper we propose an Estimation of Distribution Algorithm (EDA) equipped with Voronoi and local search based on leader for multi-objective optimization. We introduce an algorithm that can keep the balance between the exploration and exploitation using the local information in the searched areas through the global estimation of distribution algorithm. Moreover, the probability model in EDA,...
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