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Diminished reality (DR) enables us to see through real objects occluding some areas in our field of view. This interactive display has various applications, such as see-through vision to visualize invisible areas, work area visualization in surgery and landscape simulation. In this paper, we propose two underlying problems in see-through vision, in which hidden areas are observed in real time. First,...
We study planted problems—finding hidden structures in random noisy inputs—through the lens of the sum-of-squares semidefinite programming hierarchy (SoS). This family of powerful semidefinite programs has recently yielded many new algorithms for planted problems, often achieving the best known polynomial-time guarantees in terms of accuracy of recovered solutions and robustness...
In this paper, we study matrix scaling and balancing, which are fundamental problems in scientific computing, with a long line of work on them that dates back to the 1960s. We provide algorithms for both these problems that, ignoring logarithmic factors involving the dimension of the input matrix and the size of its entries, both run in time \widetilde{O}(m\log \kappa \log^2 (1/≥ilon))...
Consider a face image data set from clients of a company and the problem of building a face recognition system from it. Video cameras can be used to acquire several images per client in order to maximize the robustness of the system. However, as the data set grows huge, the accuracy of the system might be seriously compromised since the number of negative samples for each user is increasing. We propose...
To robustly estimate the pose, classical methods assume some geometrical and temporal assumptions (SfM: Structure from Motion, SLAM: Simultaneous Localization and mapping). These approaches take a pair of images as input and establish correspondences based on global strategy (using the whole image information) or sparse strategy (using key-points features). These correspondences allow solving a set...
Mobile phones equipped with a monocular camera and an inertial measurement unit (IMU) are ideal platforms for augmented reality (AR) applications, but the lack of direct metric distance measurement and the existence of aggressive motions pose significant challenges on the localization of the AR device. In this work, we propose a tightly-coupled, optimization-based, monocular visual-inertial state...
To realize Electrocardiography (ECG) signals monitoring systems, compressive sensing (CS) is a new technique to reduce power of biosensors and data transmission. Instead of spending high complexity on reconstructing back to data domain to do signal analysis, compressed analysis (CA) exploits the data structure preserved by CS to directly analyze in the compressed domain. However, compressively-sensed...
Since physical unclonable functions (PUFs) are considered for various security applications such as authentication and key generation, the robustness of PUFs is vital. In prior works, various error correction codes, such as Bose-Chaudhuri-Hocquenghem (BCH) codes, were used to improve the robustness of PUFs. In this paper, we use polar codes, a new family of error correction codes, to improve the robustness...
With the aid of a storage-release mechanism named key-keysmith, an implementation approach based on chemical reaction networks (CRNs) for synchronous sequential logic is proposed. This design approach, which stores logic information in keysmith and releases it through key, primarily focuses on the underlying state transitions behind the required logic rather than the electronic circuit representation...
Five stabilizing controls for discrete-time quasilinear control systems based on the solution of the Discrete-Time State Dependent Riccati Equation (D-SDRE) are examined. One of the approaches has been proposed by the authors and uses the approximate solution of the D-SDRE. The main goal of this paper is to obtain the results on comparative computational characteristics of the discussed control synthesis...
In this paper the reaching law approach to designing sliding mode controllers is used. In particular, the case of switching variable of relative degree r > 1 is considered. It is demonstrated, that the use of such a variable allows more freedom in designing the controller and can result in reducing the maximum absolute value of the control signal without compromising the robustness with respect...
We consider the problem of robust polynomial regression, where one receives samples that are usually within a small additive error of a target polynomial, but have a chance of being arbitrary adversarial outliers. Previously, it was known how to efficiently estimate the target polynomial only when the outlier probability was subconstant in the degree of the target polynomial. We give an algorithm...
Ground states of local Hamiltonians can be generally highly entangled: any quantum circuit that generates them (even approximately) must be sufficiently deep to allow coupling (entanglement) between any pair of qubits. Until now this property was not known to be robust - the marginals of such states to a subset of the qubits containing all but a small constant fraction of them may be only locally...
The visual and automatic classification of vehicles plays an important role in the Transport Area. Besides of security issues, the monitoring of the type of traffic in streets and highways, as well the traffic dynamics over time, allows the optimization of use and of resources related to such public infrastructure. In this work we propose a novel method, called 2D-DBM, for robust and efficient automatic...
A method is proposed for estimation of occluded space and generation of auxiliary points for 3D position estimation of strongly occluded objects. First, occlusion space detection calculates 3D keypoints at the rear side of a target object, thus obtaining a silhouette around the object on the near side, as found from a camera image by an object detector. The method calculates the space containing the...
Silicon carbide (SiC) power MOSFETs have been becoming a strong alternative to silicon (Si) technology in high-voltage, high-frequency, and high-temperature applications. Despite their growing market share, limited field information is available regarding the aging facts under thermal stress and long term reliability of discrete SiC MOSFETs. In this paper, discrete SiC devices are thermally aged through...
Coming with the reliability enhancement and the life extension for the Photovoltaic (PV) inverters modules, diagnostic techniques will be required to derive signature identification. The reliable operation of PV inverter is very crucial to get the highest performance for the long term. A new Smart Inverter Robustness Index (SIRI) is used for verifying the performance and robustness of the grid-tied...
Single-phase grid-connected inverters with LCL filter are widely used to connect photovoltaic systems to the utility grid. Among the existing control schemes, predictive control methods are faster and more accurate but also more complicated to implement. Recently, the Model Predictive Control (MPC) algorithm for single-phase inverter has been presented, where the algorithm implementation is straightforward...
Capacitor-current-feedback active damping method is commonly used in LCL-filtered grid-connected inverters, which attenuates the resonance peak by emulating a virtual resistor in parallel with the filter capacitor. Taking the digital control delay into account, the emulation component becomes frequency-dependent, and it will turn negative when the filter resonance frequency becomes higher than one-sixth...
This paper proposes a DC link controller based on H∞ method for robust and reliable operation of a single-phase grid-connected inverter with an LCL-filter in photovoltaic (PV) applications. The H∞ DC link controller minimizes the bus voltage fluctuations caused by the power variations of PV system. Also, the controller ensures system robustness against such power variations, which conventional controllers...
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