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The paper considers a reference-based control system for heaving wave energy converters. The proposed controller comprises two parts: lower level part (LLP) and higher level part (HLP). The HPL generates the buoy's velocity reference with the objective to maximize the power absorption with the constraints in the maximum control force and the power take-off device's utilization index. The index is...
Opinion mining and demographic attribute inference have many applications in social science. In this paper, we propose models to infer daily joint probabilities of multiple latent attributes from Twitter data, such as political sentiment and demographic attributes. Since it is costly and time-consuming to annotate data for traditional supervised classification, we instead propose scalable Learning...
We consider a plant affected by multiple faults (modeled through a piecewise affine formalism). Using a bank of finite-window observers and an artificially-induced feedback delay we provide an exact fault detection and isolation (FDI) mechanism, integrated into the overall fault tolerant control scheme. We use zonotopic characterizations for the sets of interest in order to provide explicit conditions...
In this paper, the problem of single-channel blind source separation (SCBSS) of a mixture of two co-frequency phase-shift keying (PSK) signals with unknown carrier frequency offsets (CFOs) is investigated. Two SCBSS algorithms which are robust to CFOs are proposed to perform separation of the mixture signals. In the first algorithm, the phase changes of the received signals caused by CFOs are tracked...
Owing to its simplicity and efficacy, orthogonal matching pursuit (OMP) has been a popular sparse representation method for compressed sensing and pattern classification. As a recent extension of OMP, generalized OMP (GOMP) improves the efficiency of OMP by identifying multiple atoms each iteration. Nonetheless, GOMP utilizes the mean square error (MSE) criterion as the loss function, which has been...
The performance of a fingerprint recognition system hinges on the errors introduced in each of its modules: image acquisition, preprocessing, feature extraction, and matching. One of the most critical and fundamental steps in fingerprint recognition is robust and accurate minutiae extraction. Hence we conduct a repeatable and controlled evaluation of one open-source and three commercial-off-the-shelf...
This paper presents a design method of a performance-adaptive controller concerned with the robust stability. A control performance in steady state is important in process control systems because the performance strongly affects qualities of products. Given this background, in order to maintain a required control performance, a performance-adaptive controller that first assesses a control performance...
Semi-symbolic simulation is becoming popular for inclusion of parameter uncertainties in the system design analysis. For robust control system design optimization, computational methods enabling fast semi-symbolic simulations are necessary. We propose an operational computation method based on orthogonal signals that is faster than step integration methods and allows the direct evaluation of system...
Speaker diarization systems aim to segment an audio signal into homogeneous sections with only one active speaker and answer the question "who spoke when?" We present a novel approach to speaker diarization exploiting spatial information through robust statistical modeling of Time Difference of Arrival (TDOA) estimates obtained using pairs of microphones. The TDOAs are modeled with Gaussian...
It has long been recognized that robustness is an inherent property of all biological systems. For instance, microbes could maintain their intracellular environment in a relative stable level against the changes in the extracellular environment. We study such a phenomenon in the glycerol production by microbial continuous fermentation, in which the metabolism mechanisms are not completely known and...
In this article, we propose a PID tuning method which can simultaneously guarantee desired closed-loop time response and stability margin. For systems without time-delay, dominant pole placement method is used to guarantee the desired closed-loop time response and generalized-frequency method is adopted to give systems the desired stability margin. For systems with time-delay, however, the desired...
Most state-of-the-art text detection methods are specific to horizontal Latin text and are not fast enough for real-time applications. We introduce Segment Linking (SegLink), an oriented text detection method. The main idea is to decompose text into two locally detectable elements, namely segments and links. A segment is an oriented box covering a part of a word or text line, A link connects two adjacent...
The aim of this work is to present a resampling scheme for SAR images that preserves spatial resolution and produces statistically accurate images at the same time. Indeed, SAR images are, for reasons due to their acquisition process, well sampled signals according to the Shannon sampling theory. In the presence of strong responses, that we will refer to as targets, a sinc-like function centered at...
Nonnegative Matrix Factorization (NMF) has been applied to hyperspectral unmixing for a few years. To relieve the non-convex problem, different constraints are imposed on NMF. But these constraints are added only on endmember or abundance. Simultaneously imposing constraints on endmember and abundance has not been tried yet. In this paper, we impose constraints on endmember and abundance at the same...
There is an ever-increasing interest in studying temporal networks nowadays, as temporal networks can illustrate the real-world system more accurately. To date, how to characterize nodes' importance is still unclear in temporal networks. In this work, we first use a time window graph model to cut the temporal network into slices, and then we give an indicator for network centrality according to the...
The keypoints detection, matching and tracking based online tracking algorithm, which is called CMT (Clustering of the Static-Adaptive Correspondences for Deformable Object Tracking), is robust and accurate for deformable object tacking. However, its optical flow tracker is error-prone when active points run outside the scope of the target. Worse still, the computational complexity of CMT greatly...
Recent work has demonstrated the effectiveness of gradient descent for recovering low-rank matrices from random linear measurements in a globally convergent manner. However, their performance is highly sensitive in the presence of outliers that may take arbitrary values, which is common in practice. In this paper, we propose a truncated gradient descent algorithm to improve the robustness against...
Low rank matrix approximation, in the presence of missing data and outliers, has previously shown its significance as a theoretic foundation in a wide spectrum of tabulated information processing applications. To fit low rank models, minimizing the nuclear norm of matrices is a popular scheme, the computational load of which, however, is heavy. While bilinear factorization can largely mitigate the...
With the development of economy, logistics becomes more and more important. Logistics efficiency depends on the structure of logistics networks. This paper briefly review the studies about complex networks from perspectives of statistical properties, structural models and application areas. Logistics networks and complex networks have same behavior pattern, so we can apply the theories of complex...
This paper presents a computational framework for accurately estimating the disparity map of plenoptic images. The proposed framework is based on the variational principle and provides intrinsic sub-pixel precision. The light-field motion tensor introduced in the framework allows us to combine advanced robust data terms as well as provides explicit treatments for different color channels. A warping...
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