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In this paper we introduce an automated mechanism for knowledge discovery from data streams. As a part of this work, we also present a new approach to the creation of classifiers ensemble based on a wide variety of models. Furthermore, we describe an innovative, highly scalable feature extraction and selection framework designed to work with the MapReduce programming model and the application of designed...
In this paper, a computationally efficient direction of arrival (DOA) estimation algorithm without subspace decomposition is presented with a uniform linear array (ULA). The ULA is divided into two sub-arrays and two noise-free cross-correlation matrices are computed using the data vectors received by the two sub-arrays. By rearranging the elements of a vector formed from the new constructed cross-correlation...
In this paper we describe different procedures to compensate the fixed pattern noise (FPN). These procedures have been developed and tested for a camera designed by us, which is based on a CMOS active pixel sensor (APS). In this kind of sensors, the FPN mainly depends on the noise coming from the column selection electronics. In this sense, we suggest and assess three different methods for FPN compensation:...
This paper describes a joint detection and classification of OFDM/QAM, OFDM/OQAM and SC-FDMA signals, using their cyclic frequency domain profiles of spectral correlation density. Detection and classification are performed by introducing corresponding HMMs of these signals. Some performances of the considered joint detection and classification of these signals, obtained using software simulation models,...
Textile-based sensors are being integrated into garments for the monitoring of physiological signals from the human body. Commonly, textile sensors are implemented through knitting methods, while the response of these sensors from other structures has been less studied. This work analyzed the feasibility of using a textile-based stretch sensor with a coverstitch formation integrated into a commercial...
L2C is the second civilian signal broadcasted on the modernized block of GPS satellites. Compared with L1C/A, the length of L2C code is longer, and includes the civil moderate code (CM code, 20ms) and the civil long code (CL code, 1.5s), which are based on time division multiplexing. For the long CL code, rapid acquisition is difficult due to the large search space. To accelerate the search process...
With the increase in utilization of portable devices and ever-growing demand for greater data rates in wireless transmission, an increasing demand for spectrum channels was observed since last decade. Currently, radio spectrum channels are assigned for quite long time periods to licensed subscribers who may not constantly use these bands, which leads to an inefficient use of the radio spectrum. The...
The proliferation of mobile devices has led to an increasing demand for radio spectrum resources. Currently, the spectrum allocation is static, which has resulted in underutilization of this resource. This situation has motivated the search for solutions to address the spectrum scarcity problem. The channel occupancy rate is a piece of information that can assist the decision making process regarding...
Depression is a serious health disorder. In this study, we investigate the feasibility of depression screening using sensor data collected from smartphones. We extract various behavioral features from smartphone sensing data and investigate the efficacy of various machine learning tools to predict clinical diagnoses and PHQ-9 scores (a quantitative tool for aiding depression screening in practice)...
This study examines the degree to which engineering and science students' personality and demographic characteristics are associated with their leadership practices, an area that few studies have explored. The data was from a sample of 70 students attending two institutions (Massachusetts Institute of Technology [MIT] and the Singapore University of Technology and Design [SUTD]) who participated in...
Object identification is an important task of military Intelligence Surveillance and Reconnaissance (ISR) systems. It plays an integral role during threat detection and situation assessment in the monitored area. This paper considers a ground ISR system comprising distributed Unmanned Ground Sensors (UGS), which perform military vehicle identification based on acoustic signal analysis. Each UGS operates...
A presented paper deals with a theoretical base of the localization of electromagnetic sources. There are presented a mathematical model of localization of electromagnetic sources in near-field region and the mathematical model in far-field region. The localization in far-field region is introduced by covariance matrix and the localization in near-field region is introduced by cross-correlation matrix...
Every student has different learning styles. They have tendency in perceiving, interacting and processing information they have learned. Those tendencies can be identified by assessing stodente' learning styles using the Index of Learning Style (ILS). ILS is commonly used to identify engineering student's learning style in learning personalization system. However, this questionnaire is developed in...
Measuring the velocity of materials that flow through pipelines or vessels in a process plant is a critical need as it can help to control the process as well as to assure an optimum flow condition. There is a wide variety of measurement systems and each design depends greatly on the properties and behaviour of the materials of the investigated flow. The rapid growth of the chemical manufacturing...
In this paper, we introduce the concept of Twin-Antenna system for Energy Sensing and Low-Noise blind deconvolution using Field-Field Correlations. The holographic principle seen as a bridging connection between the geometry and information content of space-time is introduced for exploiting the Covariant Entropy bound. The Entropy-to-Energy and Entropy-to-Surface-Area bounds open new possibilities...
Energy detection is one of the spectrum sensing techniques in the cognitive radio system that facilitate to detect vacancies in spectrum frequency. In order to improve the detection performance of the primary user and overcome the shortcomings of the traditional energy detection algorithm, this paper proposes an improved energy detection algorithm based on signal correlation (SCED). This algorithm...
Due to the scarcity of spectrum resources, spectrum sensing techniques are vital for future wireless communication systems. Compared with energy detection methods (ED), feature detection (FD) methods exploit statistical periodicity of transmission signals and have better performance under low signal-to-noise ratio (SNR) conditions. However, for fast time-varying fading channels, the detection accuracy...
This paper proposes a new sparse spectrum sensing framework for cognitive radars, by combining the ideas of coprime sampling and atomic norm line spectrum estimation. Cognitive radars need to scan a large frequency band to detect presence of other radio users and find available spectral holes for opportunistic transmission. This necessitates the use of expensive A/D converters operating at very high...
Spectrum sensing is a key component in cognitive radio networks, which allows secondary users to communicate without causing harmful interference to primary users. Cyclostationary feature based spectrum sensing has proven preferable to other methods under low signal-to-noise ratio conditions. To detect the presence of primary signals, conventional cyclostationary feature based schemes tend to simply...
Collaborative detection for continuously-varying event-region scenarios using wireless sensor networks (WSNs) has attracted much attention recently. However, most existing works adopt either a centralized approach, in which a powerful control center is used to reconstruct the entire random field, or a semi-centralized approach, in which extensive data exchange takes place among the sensors by means...
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