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We propose a method for detecting and estimating multiple objects from multiple noisy images with partly overlapping observation areas. The goal is to detect the objects that are “locally” present in the individual observation areas and to estimate their states. Our method is based on a new closed-form expression of the marginal posterior probability hypothesis density (PHD) and admits a distributed...
In this paper we present an advanced version of the Sparse-Grid-Tiles (STile) Filter. With increasing calculation power of modern systems, the focus of Stochastic Filtering turns to nonlinear effects. Sophisticated methods have to be investigated in application areas, where linearized methods like the Extended Kalman Filter tend to suboptimality or even divergence and conservative Particle Filters...
Remaining Useful Life (RUL) estimation is one of the main objectives of the fault prognosis, as it is the key element of the Condition-based Maintenance. This paper proposes a method of estimating the RUL in the presence of operating mode changes of the system by modeling the trend Health Index. The model does not require the knowledge of failure occurrence time and takes into account the current...
This paper describes a method for score-level fusion in multi-cue two-class classification problems. Fusion based on the probability density function (PDF) of multiple scores given for each class is a promising approach because it guarantees optimality as long as the estimated PDFs are correct. Instead of lattice-type control points used in previous non-parametric density-based approaches, floating...
In order to explore the critical factors that influence the reliability of CNC grinding machine, and find the measures to improve the reliability and performance of CNC grinding machine, the reliability mathematical model of CNC grinding machine is analyzed and formulated. Firstly, the dependence of the failure models is tested based on the field failure data. Secondly, the probability density function...
Estimating the global data distribution in Peer-to-Peer (P2P) networks is an important issue and has yet to be well addressed. It can benefit many P2P applications, such as load balancing analysis, query processing, and data mining. Inspired by the inversion method for random variate generation, in this paper we present a novel model named distribution-free data density estimation for dynamic ring-based...
The gold standard for diagnosing Sleep Apnea Hypopnea Syndrome (SAHS) is the Polysomnography (PSG), an expensive, labor-intensive and time-consuming procedure. It would be helpful to have a simple screening method that allowed to early determining the severity of a subject prior to his/her enrolment for a PSG. Several differences have been reported in the acoustic snoring characteristics between simple...
In previous work we considered the problem of estimating target location parameters using an adaptive sensing paradigm, wherein one attempts to choose the most informative measurement from a set of possibilities characterized by a linear measurement matrix. Here we extend that work to target tracking. At each step in a discrete-time Bayesian filter, a measurement matrix is chosen to illuminate in...
Process yield is one standard numerical measure of process performance in manufacturing industry. Index SPK has provided an exact measure of process yield. Most studies on estimating SPK are based on crisp estimates involving precise output process measurements. However, measurements of product quality sometimes cannot be precisely recorded or collected. Hence, this study provides the fuzzy lower...
The speed-up estimation of parallelized code is crucial to efficiently compare different parallelization techniques or task graph transformations. Unfortunately, most of the time, during the parallelization of a specification, the information that can be extracted by profiling the corresponding sequential code (e.g. the most executed paths) are not properly taken into account. In particular, correlating...
For a high-order polynomial-phase signal (PPS), instantaneous frequency rate (IFR), which is defined as the second derivative of the phase, is estimated by using an estimator with only a second-order nonlinearity. Compared to high-order phase function (HPF), the proposed IFR estimator presents improved performance including smaller mean-squared error (MSE) and lower SNR threshold. Statistical analysis...
Conners Adult ADHD Rating Scale (CAARS) is one of the reliable questionnaires in evaluating ADHD in adults. The goal of this study is to extract principal components of the screening version of questionnaire and evaluate the validity of missed answers estimation. This study is performed on 380 volunteers. Eight principal components are extracted by means of PCA. In the next step, for each question,...
During regression testing, a modified system needs to beretested using the existing test suite. Since test suites may be very large, developers are interested in detecting faults in the system as early as possible. Test prioritization orders test cases for execution to increase potentially the chances of early fault detection during retesting. Code-based test prioritization methods are based on the...
Materializing results from complex aggregation queries helps to significantly improve response times in OLAP servers. This problem is known as the view selection problem: choosing the optimal set of aggregation tables (called configuration) for a given workload. In this paper we present an online approach for adjusting the configuration dynamically to the current workload. This approach is implemented...
This paper discusses the phase lag of tele-operation system when operator begins to perceive the system's motion lag. The reduction of time lag is very important for high operation performance in tele-operation system. However the threshold of time lag for development of high operability is unknown. Therefore, I obtain the time lag when the operator perceived the motion lag in tele-operation. The...
Wang et al. [1] proposed a multiple-stream yield index SpkM. In addition to the point estimation, such as interval estimation are also important. In this paper we derived explicit forms of the cumulative distribution function and the probability density function of the estimated index SpkM. We developed a practical procedure and formula to provide practitioners an efficient tool for interval estimation...
The editing of heart rate variability (HRV) sequences is largely employed in presence of biological (ectopies, arrhythmias) and technical artifacts. Little is know about the effects of these corrections on the estimation of the long-term scaling exponents, especially for long artifacts. We therefore investigated the robustness of three popular scaling exponent estimators (DFA, a-slope and Dispersional...
We present a generic method for analyzing the effect of process variability in nanoscale circuits. The proposed framework uses kernel and a generic tail probability estimator to eliminate the need for a-priori density choice for the nature of circuit variation. This allows capturing the true nature of the circuit variation from a few random samples of its observed responses. The data-driven, non-parametric,...
The present work addresses the problem of validation of a synthetic dataset with respect to observations. It gives an index that determines locally how much a region of the synthetic dataset fits the observations. The method uses an estimation of the probability density function computed with the probabilistic self-organizing maps. Then, an index F was defined to quantify the areas of the synthetic...
Robust detection of moving objects in complex scenes is one of the most challenging issues in computer vision. In this paper, we present a novel texture-wise approach to segment moving objects with codebook and local binary patterns (LBP). In many moving segmentation algorithms, the information from limited frames before current image is used. Our approach models background over long time with small...
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