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Sedentary behaviors such as sitting and watching TV are ubiquitous in modern societies. Increases in sedentary time have been linked with an increased risk of obesity, diabetes, cardiovascular disease, and all-cause mortality. While smartphones and wearables can now detect sedentary user behaviors, few computational models exist for predicting when they will occur in future. In this paper, we propose...
online social networks are progressively being adopted among young people in developing countries. The public is questioning why so many people adopt this technology in many aspects of their lives? The purpose of this study is to understand the acceptance of social networks by Thai students. We used traditional TAM's behavioral constructs: subjective norms (SN), perceived usefulness, perceived ease...
Employing the Theory of Planned Behavior (TPB), this study aims to find determinant factors that have influence over individuals' intention to cyberbully others. Using a scenario-based questionnaire, the data were collected from 96 students in Universiti Teknologi Malaysia. According to the results, only subjective norms reflected to be significant over cyberbullying intention, while the rest of variables...
In this paper we revisit the well known and popular Normalized Subband Adaptive Filter (NSAF). Based on an analysis of the algorithm in the mean and using an analysis strategy presented in [1], we find that the NSAF can be seen as a Richardson iteration applied to a preconditioned augmented Wiener-Hopf equation. This equation is formulated in such a way that its convergence speed can be predicted...
There are two ways to improve the D-S evidence theory, the methods based on modification for Dempster rule, and the methods based on modification for original evidence sources. For modification of evidence sources, there are mainly two methods: discounting factor method and weighted average method. Although the weighted average method has better focusing degree, it ignores conflicting degree of combination...
Knowledge sharing is a key process that influences individual and organizational performance. The significance of sharing knowledge is confirmed through enormous number of previous studies. However individuals are not always motivated to share their knowledge. There are different factors might encourage or hinder employees to engage in knowledge sharing. This study aims at investigating the impact...
This paper proposes a method for estimating the process noise covariance matrix, using multiple Kalman filters. The basic idea is to employ the difference between the expected prediction error covariance, calculated in the Kalman filters, and the measured prediction error covariance. The required estimate of the process noise covariance is obtained by solving a least squares problem. One simulated...
Health analysis often involves prediction of multiple outcomes of mixed type. The existing work is restrictive to either a limited number or specific outcome types. We propose a framework for mixed-type multioutcome prediction. Our proposed framework proposes a cumulative loss function composed of a specific loss function for each outcome type–as an example, least square (continuous outcome), hinge...
Signal strength difference (SSD) is widely utilized as the feature for Wi-Fi fingerprint localization to tackle the heterogeneity between training device and target device, but the correlation between SSDs is largely ignored. In this paper, a novel scheme named LC-KDE is proposed. It utilizes local Fisher discriminant analysis (LFDA) to transform the original SSDs into weakly correlated features,...
The results of the test of numerical methods for solving systems of differential equations describing the system with a complex and chaotic dynamics are discussed. Discusses the results of numerical solution of differential equations based on microwave oscillator equivalent circuit in various dynamic modes. The quantitative evaluation of the actual, global and the mean square error of the numerical...
Squeezed states of light are referred to as non-classical field states and are known to be characterized by strong correlations between photons both in the spectral and spatial domain. For these reasons they are very perspective for many important and interesting practical applications in modern quantum optics including storage and transfer of quantum information. From this point of view multiphoton...
The emergence of long range phase coherence among random nonlinear waves is a fascinating effect that characterizes many fundamental phenomena. For instance, the condensation of classical waves [1,2] is an important example of self-organization process that generates lot of interest as a classical analogue of quantum Bose-Einstein condensation. Wave condensation is known to be characterized by the...
Online-store has become more and more popular in recent years. It has brought great benefits for the business. In the intense competitive environment, in order for an online-store to gain strength and competitive edge, it needs to possess a strong store image and to keep and satisfy its customers. In this paper, a model of relationship among online-store image, customer satisfaction and customer loyalty...
While larger wind energy projects include extensive long-term assessment of wind energy resources, small and micro wind applications typically do not budget for measurements of wind resources at potential wind-energy development sites. This paper analyses to what extent freely-available public records from the UK weather stations can be used for the evaluation and prediction of wind energy resources...
The paper presents a concept of the parametric autofocus method for Passive Inverse Synthetic Aperture Radar (ISAR) imaging of air targets. To create a focused ISAR image, the precise knowledge of an object trajectory is required. In this paper a theoretical model of the target motion and an algorithm for finding the best set of estimated motion parameters are described. Simulated results of ISAR...
In this paper, we obtain the reverse hypercontractive region for the pair of variables (X, Y) where X is a uniformly distributed binary random variable and Y (a ternary random variable) is obtained by passing X through a symmetric binary erasure channel (BEC), for a non-trivial range of parameters. The technique used builds on two recent results: a) characterization of reverse hypercontractivity using...
Since MEMS systems get more and more complex their design needs accurate consideration of the worst-case conditions. This paper introduces a realistic worst-case characterization from IC design to the MEMS manufacturing process. It is based on the joint distribution of process parameters and on the sensitivity analysis of circuit performance and provides an improved worst-case charcterization to classical...
This work deals with the application of the Kriging technique for the accurate modeling of analog circuits, namely, a CMOS second generation current conveyor, and a CMOS voltage follower. Three types of correlation functions are used for this purpose: the Spline, the Gaussian and the Exponential Correlation functions. A comparative study is given. Two metrics are used; Root Mean Square Error and the...
This work deals with the Unrelated Parallel Machine Scheduling Problem with Setup Times, with the objective of minimizing the makespan. It is proposed an Adaptive Large Neighborhood Search (ALNS) metaheuristic using Learning Automata (LA) to adapt the probabilities of using removal and insertion heuristics and methods. A computable function in the LA updates the probability vector for selecting the...
We study the relation between gasoline prices and Google searches for the term “gasoline prices”. Utilizing the framework of a vector autoregressive model and Granger causality, we find a two-way relationship between gasoline prices and Google searches. In both directions, the relation is negative, i.e. an increase in one of the variables leads to a decrease in the other variable. Moreover, we find...
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