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Within the emerging new technologies in Smart Grids, the concern about Non-Intrusive Load Monitoring (NILM) techniques has increased over the last five years. These techniques aim to disaggregate the energy consumption on a household or commercial building into individual appliances from the use of a single-point sensor. Most efforts attempt to disaggregate by using a low sampling frequency and by...
This paper deals with MIMO detection for rank 4 3GPP Long-Term-Evolution (LTE) systems. The paper revolves around a previously known detector [1], which we shall refer to as RCSMLD (Reduced-Constellation-Size-Maximum-Likelihood-Detector). However, a direct application of the scheme in [1] to LTE/LTE-A rank 4 test cases results in unsatisfactory performance. The first contribution of the paper is to...
We present a two wavelength interferometer that we have developed and characterized for space applications. It is based on the synthetic wavelength technique together with a super-heterodyne detection scheme. This set-up has all the optoelectronic components in fiber. The synthetic wavelength is generated by superposing two fiber-coupled external cavity diode lasers and can be changed with continuity...
To unfold a solution for the detection of metamorphic viruses (obfuscated malware), we propose a non signature based approach using feature selection techniques such as Categorical Proportional Difference (CPD), Weight of Evidence of Text (WET), Term Frequency-Inverse Document Frequency (TF-IDF) and Term Frequency-Inverse Document Frequency-Class Frequency (TF-IDF-CF). Feature selection methods are...
A follow-up initiative of development in the field of optical radiometry undertaken in the frame of European Metrology Research Programme (EMRP) is described. Amongst the other tasks, the new project NEWSTAR aims at accurate determination of ratio e/h of fundamental constants - elementary charge e and Planck's constant h. This is envisaged to achieve by using improved version of Predictable Quantum...
In this paper we present the comparison in terms of acquisition speed between octave bandwidth radiometric imagers that are based either on antenna coupled or bolometer coupled direct detection instruments. The considered configurations are all characterized by dielectric lenses which can be coupled to bolometric focal planes, double slot feeds or leaky wave enhanced feeds. The acquisition speeds...
This paper carries out a discussion on the supervised learning of a car detector built as a Discriminative Part-based Model (DPM) from images in the recently published KITTI benchmark suite as part of the object detection and orientation estimation challenge. We present a wide set of experiments and many hints on the different ways to supervise and enhance the well-known DPM on a challenging and naturalistic...
We are concerned with the optimal detector design for the all-bit-line MLC flash memory. We provide a channel model of the MLC flash memory, where the channel parameters are mathematically tractable. Then we present an optimal maximum a-posteriori sequence detector. The optimal detector can be executed over a trellis whose branch metrics can be computed by using Fourier transforms of analytically...
ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). Following a successful Run 1 which ended in February 2013, the ALICE data acquisition (DAQ) entered a consolidation phase to prepare for Run 2 which will start in the beginning of 2015. One of the identified...
The problem of compressing a large collection of feature vectors so that object identification can further be processed on the compressed form of the features is investigated. The idea is to perform matching against a query image in the compressed form of the feature descriptor vectors retaining the metric. Specifically, we concentrate on SIFT (Scale Invariant Feature Transform), a known object detection...
In this paper, we study the problem of ‘test-driving’ a detector, i.e. allowing a human user to get a quick sense of how well the detector generalizes to their specific requirement. To this end, we present the first system that estimates detector performance interactively without extensive ground truthing using a human in the loop. We approach this as a problem of estimating proportions and show that...
We consider the problem of discovering discriminative exemplars suitable for object detection. Due to the diversity in appearance in real world objects, an object detector must capture variations in scale, viewpoint, illumination etc. The current approaches do this by using mixtures of models, where each mixture is designed to capture one (or a few) axis of variation. Current methods usually rely...
Noise-predictive maximum likelihood (NPML) is a well known signal detection technique used in partial response maximum likelihood (PRML) scheme in 1D magnetic recording channels. The noise samples colored by the partial response (PR) equalizer are predicted/whitened during the signal detection using a Viterbi detector. In this paper, we propose an extension of the NPML technique for signal detection...
Cloud monitoring and analysis are challenging tasks that have recently been addressed by Complex Event Processing (CEP) techniques. CEP systems can process many incoming event streams and execute continuously running queries to analyze the behavior of a Cloud. Based on a Cloud performance monitoring and analysis use case, this paper experimentally evaluates different CEP architectures in terms of...
Visual recognition based positioning requires complex image processing algorithms like feature detection, description, grouping and matching, which need considerable processing power from mobile devices. Many algorithms for feature detection have been developed from which some became de-facto solutions for many visual recognition scenarios. Novel techniques have since been published for feature description,...
Exterior data in CT refer to the data acquired from detector bins on one side of the detector center. It corresponds to, in the image space, an annulus-shaped scanning FOV. Exterior scanning geometry is of practical interest to obtaining the tomographic information of the peripheral region, when the center of the object can and/or should be spared from X-ray irradiation. In this work, we investigated...
This paper presents a method to detect table regions in document images by identifying the column and row line-separators and their properties. The method employs a run-length approach to identify the horizontal and vertical lines present in the input image. From each group of intersecting horizontal and vertical lines, a set of 26 low-level features are extracted and an SVM classifier is used to...
Auto dynamic difficulty (ADD) is the technique of automatically changing the level of difficulty of a video game in real time to match player expertise. Recreating an ADD system on a game-by-game basis is both expensive and time consuming; ultimately limiting its usefulness. Thus, we leverage the benefits of software design patterns to construct an ADD framework. In this paper, we demonstrate that...
Some aspects of virtual devices technologies application for UHF measurements are considered. Some manners for realization of hardware and software in systems for making measurements are suggested. The example of the UHF complex refection coefficient measuring system of the end-use devices is shown.
The scaling of Silicon devices has exacerbated the unreliability of modern computer systems, and power constraints have necessitated the involvement of software in hardware error detection. At the same time, emerging workloads in the form of soft computing applications, (e.g., multimedia applications) can tolerate most hardware errors as long as the erroneous outputs do not deviate significantly from...
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