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We present a novel Rao-Blackwellized multiple particle filtering method for inference of correlated latent states observed via nonlinear functions. We adopt a state-space framework and model the dynamic correlated states using a mixing matrix, embedded in white Gaussian noise. The critical challenges in practice are the lack of knowledge about the mixing parameters and the possibly large dimensionality...
We address the problem of determining the number of signals correlated between two high-dimensional data sets with small sample support. In this setting, conventional techniques based on canonical correlation analysis (CCA) cannot be directly applied since the canonical correlations are significantly overestimated when computed from few samples. To overcome this problem, a principal component analysis...
In this paper, we propose to use correlations to optimize network operations in terms of energy-efficiency and data quality for data collection applications. We present a novel approach that uses spatial correlations between geographic neighboring nodes to form maximal cliques. Then, we apply it to protocol LEACH by adding a pre-selection phase to elect representative nodes in each clique to be activated...
When modeling geo-spatial data, it is critical to capture spatial correlations for achieving high accuracy. Spatial Auto-Regression (SAR) is a common tool used to model such data, where the spatial contiguity matrix (W) encodes thespatial correlations. However, the efficacy of SAR is limited by two factors. First, it depends on the choice of contiguity matrix, which is typically not learnt from data,...
Opportunity detection at secondary transmitters (TXs) is a key technique enabling cognitive radio (CR) networks. Such detection however cannot guarantee reliable communication at secondary receivers (RXs), especially when their association distance is long. To cope with the issue, this paper proposes a novel MAC called sense-and-predict (SaP), where each secondary TX decides whether to access or not...
In the last two decades, the increase in the amount of information available online have resulted in an information overload problem making it very complex for users to get the useful information they require within time. A recommender system helps customer to make useful decisions about products they wants to purchase thus providing better customer satisfaction which is vital in online environments...
In our previous work, pseudo random binary sequence generated by using trace function, Legendre symbol and mapping function has been researched. Our previous sequence generated by applying primitive polynomial over odd characteristics field Fp, trace function, and Legendre symbol. The previous sequence contained only 0 and 1 values. It has some interesting features such as period, periodic autocorrelation,...
In recent years, social media such as Twitter have encountered a significant growth because of the ceaseless increase in the volume of contents and the number of users. The level of influence among social media users is significantly different from one user to the other; and as such, it has become more vital to find the most influential users on social media. There are lots of mysteries about behaviours...
Nowadays, data has become more important as the core resource for the information society. However, with the development of data analysis techniques, the privacy violation such as leakage of sensitive data and personal identification exposure are also increasing. Differential privacy is the technique to satisfy the requirement that any additional information should not be disclosed except information...
In this paper, improvement in accuracy of scattering center extraction for inverse synthetic aperture radar (ISAR) image is presented in order to facilitate precise signature prediction. The original CLEAN, which is typically used to compute scattering center model from ISAR image formation using the shooting and bouncing ray (SBR) technique, is based on the assumption; effect from noise interference...
Single electron circuits are proposed for use as a coherent signal source. This paper uses the Monte-Carlo method to investigate the degree of correlation between successive events in long arrays of tunnel junctions. Simulations use ensemble studies starting from a known condition used to compute the probability density functions for time between events. It is shown that longer arrays produce more...
This paper review an important of the student loan consideration criteria by using factor analysis method. The processes include five steps determining factors that influence the consideration; Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Bartlet's test of sphericity, Principal components analysis (PCA), rotation, evaluation, and interpretation. The dataset is a historical data of student loan...
We studied hemodynamics characteristics at the heart level for a lot of 15 obese patients. We investigated echocardiographic and multigated radionuclide parameters correlating with the body mass index (BMI) or left ventricular ejection fraction (LVEF). Furthermore, the linear relationship obtained by plotting end-systolic volume (ESV) against end-diastolic volume (EDV) can be more useful than the...
In this article the results of testing of numerical methods of solution of differential equations describing the systems with chaotic dynamics in MATLAB are discussed. The results of evaluation of the actual error, the global error and root-mean-square error of the numerical solution of the test differential equation system are discussed. The results of evaluation of the main radio technical parameters...
The efficiency of communication system is the key factor for the operational capability of naval ship. Through analyzing the evaluation index of naval fleet's communication system, a satisfactory-degree based on efficiency evaluation model is founded by applying the grey relational analysis. The steps of the model include gathering index data based on index tree, constituting the reference sequence...
This study proves that as the height of a person increases, his/her sense of power also increases. Moreover, in a population with heavy weight and high socioeconomic status, the height of a person significantly affects his/her sense of power. Findings have confirmed the concept emphasized by embodied cognition theory, i.e., genitive dependence on one's body, which indicates that the psychological...
This paper proposes a state space model to describe multivariate autocorrelated zero-inflated count series. The model extends the classical zero-inflated Poisson distribution into multivariate cases but is able to impose different zero inflations on different dimensions. Combing the zero inflation with the log-normal mixture of independent Poisson distribution, this model allows for flexible cross-correlations...
This paper adopts a new approach to the problem of cricket stroke recognition from pre-recorded video footage. The proposed method ensures bat detection via Optical Flow and Otsu's Tresholding, thereafter using the Kalman filtered result to train data-sets that can be matched via the cross-correlation function. The bat detection and tracking methods work well, with average positional error rate of...
Data mining is an emerging field of research in Information Technology as well as in agriculture. The present study focus on the applications of data mining techniques in tea plantations in the face of climatic change to help the farmer in taking decision for farming and achieving the expected economic return. This paper presents an analysis using data mining techniques for estimating the future yield...
Because of the volatility of memory, nodes in in-memory storage system crashing down would lead to data lost. One solution to this problem is backing data up. However, if we backup data to a node which is about to fail down, the data should be recopied again. That would lead to a large amount of backup data, and in turn reduce the system reliability. We first establish a correlated failure model with...
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