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Aiming to increase the proportion of the samples that has been determinate classified in Naive Credal Classifier, this paper improves conservative inference rule and proposes an incomplete data classification model based on relaxed conservative inference rule. Simulation results of comparative experiment with Naive Bayesian Classifier and Naive Credal Classifier verify the effectiveness of this classification...
The present work developed a basis to explore numerous damage events utilizing Self-Organizing Map (SOM) introducing Kullback-Leibler (KL) divergence as an appropriate similarity for frequency spectra of damage events. Firstly, we validated the use of KL divergence to frequency spectra of damage events. The experiment using the datasets of damage related sounds showed that the kernel SOM using KL...
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running time and data requirements polynomial in the dimension and the inverse of the desired accuracy, with provably minimal assumptions on the Gaussians. As a simple consequence of our learning algorithm, we we give the first...
An application of Parallel Radial Basis Function (PRBF) network model on prediction of chaotic time series is presented in this paper. The PRBF net consists of a number of radial basis function (RBF) subnets connected in parallel. The number of input nodes for each RBF subnet is determined by different embedding dimension based on chaotic phase-space reconstruction. The output of PRBF is a weighted...
In a monaural polyphonic context, music transcription and specifically, multiple-F0 estimation systems have achieved promising results in the last decade. However, most of these systems present intermittent misses of pitch within a note or inaccurate definitions about onsets and offsets due to frame-by-frame analysis. In this paper, we propose a multiple-F0 estimation system which extracts a set of...
We propose a simple yet effective non-line-of-sight (NLOS) mitigation method that is incorporated into our earlier-developed iterative parallel projection method (IPPM) for collaborative position location. The proposed method handles NLOS range estimates based on the available a priori knowledge about NLOS condition and is demonstrated to significantly improve the localization accuracy in NLOS-dense...
RSS-based localization is considered a low-complexity algorithm with respect to other range techniques such as TOA or AOA. The accuracy of RSS methods depends on the suitability of the propagation models used for the actual propagation conditions. In indoor environments, in particular, it is very difficult to obtain a good propagation model. For that reason, we present a cooperative location algorithm...
Location estimation and tracking for the mobile stations have attracted a significant amount of attention in recent years. Moreover, different types of signal sources are considered available to provide the measurement inputs for location estimation and tracking. In this paper, a hybrid unified Kalman tracking (HUKT) technique is proposed to provide an integrated algorithm for precise location tracking...
Gesture input interfaces for mobile devices with a touch screen have become widespread. Although gesture interfaces in common use are limited to the small screens of these mobile devices, pointing interfaces for large screens using handheld devices or attachments are common. However, these devices increase the user's cognitive load because they are unable to cancel the effect of spatial cognition...
Corrosion is degradation of materials' properties due to interactions with the environments, and corrosion of most metal materials is inevitable. Corrosion damage can lead to fatal environmental consequences like toxic substance leakage, as well as huge maintenance and repairing costs during the suspension of process equipment in chemical and petroleum industries. There are many pipes whose outside...
Direct frequency estimator (DFE) has recently been proposed for unbiased frequency estimation of a real tone in white noise. This paper proposes to improve the performance of the DFE using a convex combination of two DFEs. Each DFE is adapted independently to retain its performance advantage, and the estimation results are then adaptively combined for optimal performance. The convex combination scheme...
Frequency estimation is a useful technology for analyzing oscillatory phenomena. In these days, there is a demand for rapid and highly accurate frequency estimator. Though various frequency estimation methods have been proposed, most of them can not respond to the demand. An algebraic approach is succeeded in achieving the demand but it requires a lot of multiple integrations due to eliminating differential...
Antenna array is useful in direction-finding because of its spatial-spread signal profile. Conventional array processing for narrowband is not suitable for ultra-wideband impulse radio (UWB-IR) because of the wideband spectrum and large off signal period. This paper addresses the utility of uniform circular array for AOA estimation in a line-of-sight (LOS) UWB-IR channel. Maximum likelihood (ML) estimation...
Proximity ranking according to end-to-end network distances (e.g., Round-Trip Time, RTT) can reveal detailed proximity information, which is important in network management and performance diagnosis in distributed systems. However, to the best of our knowledge, there has been no similar work on this subject in the P2P computing field. We present a distributed rating method iRank, that enables proximity...
Due to the complexity and time-variation of wireless channel, it is a great challenge to measure and estimate the channel quality accurately in wireless ad hoc network. To address this problem, we propose a link quality estimator which use the packet loss rate (PLR), round trip time (RTT), available bandwidth (ABW) at the sender and the feedback information from receiver to continuously tracks the...
Predicting network latencies between Internet hosts can efficiently support large-scale Internet applications, e.g., file sharing service and the overlay construction. Several study use the hyperbolic space to model the Internet dense-core and many-tendril structure. However, existing hyperbolic space based embedding approaches are not designed for accurate latency estimation in the distributed context...
Non-line-of-sight (NLOS) conditions pose a major challenge to radio positioning in both indoor and outdoor scenarios. In this paper, the proposed technique using the digital broadcasting signals takes the NLOS bias into consideration and improves the location accuracy of a mobile station (MS), since digital broadcasting signal has some unique advantages for wireless location. A constrained optimization-based...
Sound localization systems (SLS) identify the direction of a sound source. However, most of approaches focus on near-field identification, i.e. 1~2 m. In this paper we develop a novel algorithm for far-field sound localization based on the average magnitude difference function (AMDF), thereby extending the distance to 5 m. The far-field SLS is implemented on a field programmable gate array (FPGA)...
In this paper, we propose a hybrid approach to the wireless sensor network (WSN) localization problem. The proposed approach harnesses the strengths of two techniques: RF mapping and cooperative ranging, to overcome the potential weaknesses in one another. The idea is to first allow every node to obtain an initial estimate of its own position in a neighbor-independent way using a coarse-grained RF...
The operation of wireless sensor networks is fundamentally constrained by available energy sources. In this paper, we propose a numerical power estimation technique for register transfer level. This technique allows estimating the power dissipation of components in WSN to their statistical knowledge of primary inputs/outputs. During power estimation procedure, the sequence of an input stream is generated...
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