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In this paper, for any given prime power q, using Helleseth-Gong sequences with ideal auto-correlation property, we propose a class of perfect sequences of length qm−1/q−1. As an application, a subclass of constructed perfect sequences is used to design optimal and perfect difference systems of sets.
In this paper, we propose a direct construction of disjoint cyclic perfect Mendelsohn difference family (CP-MDF) from Zeng-Cai-Tang-Yang cyclotomy. As we all know, strictly optimal frequency-hopping sequences (FHSs) are a kind of optimal FHSs which has optimal Hamming auto-correlation for any correlation window. As an application of our disjoint CPMDFs, we present more flexible combinatorial constructions...
Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The Grey Level Co-Occurrence matrix has two important parameters i.e. distance and direction. In this paper various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. Patterns considered in this...
Parkinson's Disease (PD) is a neurodegenerative disorder that is frequently correlated with vowel articulation difficulties. The phonation problem arises in patients affected by PD is commonly known as Parkinsonian Dysarthria and identifiedby vocal signal analysis. The analysis supporte physicians and specialists in early detection and monitoring of dysarthria aiming, to increase patients life quality...
Recently, most of context-aware services are trying to exploit the emotional contexts of the target users. The aim of this conceptual paper is to discuss affective lifelogging framework which can recognize the emotions by integrating multimodal information from multiple sources. Moreover, we will mention the open problems on affective lifelogging.
A new phantom excludability algorithm based on speciality of sensor and target was proposed in this paper in order to exclude the false intersection points on direction finding process for emitting lines in passive cross location. Firstly, deduce the correlation stretch angle, candidate observation set and effective observation set with maximum detection range of each sensor, relative location of...
Discovering causal relationships by constructing the causal graph provides critical information to researchers and decision makers. Yet releasing causal graphs may risk leakage of individual participant’s privacy. It is very underexploited how to enforce differential privacy in causal graph discovery. In this work, we focus on the PC algorithm, a classic constraint-based causal graph discovery...
Personalized recommender system is increasingly used to overcome the problem of information overload, collaborative filtering recommender algorithm is one of the most popular algorithms, which provides recommendations by the information of the neighbors who have the same preferences of the target user. Because the purpose of recommender system is to provide personalized recommendations, so for a unpopular...
Since Moran's seminal paper on an index to measure spatial autocorrelation among a set of geographic objects, spatial autocorrelation coefficients have been widely used in many research and application fields. In this paper, we provide detailed reasoning for indices for measuring spatiotemporal autocorrelation. We first briefly highlight the classic Moran's Index for measuring spatial autocorrelation...
A Wilson system is a collection of finite linear combinations of time frequency shifts of a square integrable function. In this paper we give an account of the construction of bimodular Wilson bases in higher dimensions from Gabor frames of redundancy two.
Although the Z-domain precoding method for blind separation of spatially correlated sources is proved reliable in theory, it has disadvantages in its implementation since it requires knowledge of precoder zeros at the receiver beforehand. A new method is proposed in this article to find these precoder zeros and estimate the separation vectors of the coded signals at the same time by exploiting the...
The purpose of the research is to provide an empirical insight into the gameplay preferences and multiple intelligences profile of early adolescents living in rural areas. It was found that the early adolescent males living in rural areas played digital games about two times more than females did, and that the average weekly gameplay time increased as students grew. Females achieved significantly...
Dempster-Shafer (D-S) evidence theory is widely used for information fusion field. However, one of the main issues of D-S evidence theory is that, when large amount of focal elements in Basic Probability Assignment (BPA) are available, the fusion of BPA requires high computational cost and long computing time. This problem greatly limits its application. In this paper, a novel method for approximating...
This preliminary research investigates the effects of self-regulated learning support using the system "Self-regulator (SR)," and relationships between self-regulated learning awareness, learning behaviors, and perceived effects of SR. The results showed that the course with SR promoted "meet the deadline" awareness. The results of Spearman's correlation analysis revealed that...
Due to the simplicity of its implementation and the impressive performance, Extreme Learning Machine (ELM) has been widely used in applications of machine learning. However, there are two potential problems in ELM: 1) lack of an efficient method for minimizing error; 2) consideration of little inherent structural information about correlations among output components. To overcome those problems, this...
This paper introduces the application of attribute selection methods along with Bayes classifiers. The proposal has been evaluated in eleven binary and multi-class real data sets with a number of instances lower than a thousand and a number of attributes between eight and sixteen thousand. Among them, five data sets belong to the Bioinformatics area. Experiments show that, in general terms, the most...
This paper studies the fundamental limits of caching in a network with two receivers and two files generated by a two-component discrete memoryless source with arbitrary joint distribution. Each receiver is equipped with a cache of equal capacity, and the requested files are delivered over a shared error-free broadcast link. First, a lower bound on the optimal peak rate-memory trade-off is provided...
Generalized Levenshtein bound (GLB) is a lower bound on the maximum aperiodic correlation sum of quasi-complementary sequence set (QCSS) which refers to a set of two-dimensional matrices with low non-trivial aperiodic auto- and cross-correlation sums. GLB is an indefinite fractional quadratic function of a “simplex” weight vector w and three additional parameters associated with QCSS. We present a...
We develop an information theoretic framework for addressing feature selection in applications where the inference task is not specified in advance and the data is from a large alphabet. We introduce a natural notion of universality for such problems, and show that locally optimal solutions are straight forward to obtain, admit natural interpretations via information geometry, have computationally...
In this paper, we propose a new construction of perfect pk-ary sequences of period pk, where p is an odd prime and k ≥ 2 is a positive integer, based on cubic polynomials over the integers modulo pk. We show that, for some appropriate parameters, it generates perfect polyphase sequences which are not the generalized chirp-like sequences constructed by Popovic in 1992.
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