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The pixel detector of the CMS experiment will be upgraded during the extended end of year shutdown during winter 2016/2017. The upgraded detector will operate at full efficiency at an instantaneous luminosity of 2 × 1034 cm−2 s−1 with increased detector acceptance and additional redundancy for the tracking, while at the same time reducing the material budget. The design and technological choices will...
Docking an autonomous underwater vehicle (AUV) is a critical part of many current and envisioned Navy, commercial, and scientific missions. Many missions require an AUV to dock with a subsea node that is not restrained through attachment to the seafloor or to a surface platform significantly larger than the system that is docking into it. Space and Naval Warfare Systems Center Pacific (SSC Pacific)...
Based on a number of inquiries from the industrial community Terasense has developed and started production of a new terahertz imaging system. The system is designed for a conveyor based non-destructive testing and security scanning applications. The imaging kit includes 1×256 pixel THz linear camera and 100 GHz (80 mW) source with a special projection optics. The terahertz imaging system has undergone...
In this paper, the problem of intrusion detection using pyroelectric infrared (PIR) sensors is investigated. We study the output PIR signal in the light of the intruder's trajectory and the geometry of the sensor's field of view (FOV) and propose an inverse-square law that describes the relation of incident heat flux to the distance. The signal is modeled by a sum of exponentially modulated sinusoids...
A two stages car detection method using deformable part models with composite feature sets (DPM/CF) is proposed to recognize cars of various types and from multiple viewing angles. In the first stage, a HOG template is matched to detect the bounding box of the entire car of a certain type and viewed from a certain angle (called a t/a pair), which yields a region of interest (ROI). In the second stage,...
Determining the molecular or genomic sub-type of a cancer of a particular organ is important for prognosis and treatment planning. While clinical tests determine the dominant subtype of cancer in a patient, it is believed that some cancer treatments targeting the dominant sub-types ultimately prove ineffective because they ignore the existence of additional sub-types in the same patient. We present...
The recent popularity of smartphones causes significant increase of upskirt filming cases in many countries and regions. To search upskirt images in suspects' IT devices and block them on social media, an effective detector is demanded, but it is neglected by both academic and commercial communities. Three commercial pornographic image detectors and one detector distributed by the U.S. National Institute...
Test procedures and on-site diagnostics of high voltage power cables are one of the main problems of asset management carried-out by power utility companies. It is obvious that cable lines are very important components of the transmission network. So it is very significant to check the initial condition of cables carrying-out after-lying tests, as well as routine test performed in time of normal operation,...
The problem of off-grid target detection with the normalized matched filter (NMF) detector is considered. We show that this detector is highly sensitive to off-grid targets. In particular its mean asymptotic detection probability may not converge to 1. We then consider two solutions to solve this off-grid problem. The first solution approximates the Generalized Likelihood Ratio Test (GLRT) by oversampling...
Neural-machine interface (NMI) decoding errors challenge the clinical value of neural control of powered artificial legs, because these errors can dangerously disturb the user's walking balance, cause stumbles or falls, and thus threaten the user's confidence and safety in prosthesis use. Although extensive research efforts have been made to minimize the NMI decoding error rate, none of the current...
In this paper we describe a simple and very fast method of data acquisition, feature extraction and feature space creation for epileptic seizure detection. The scalp electroencephalogram (EEG) dataset [1, 2] collected at the Children's Hospital Boston from 22 pediatric patients having 192 intractable seizures (available as CHB-MIT database) is used to assess this simple approach against existing ones...
To evaluate the total ionizing dose vulnerability of spaceborne signal processing platform, an accelerated radiation experiment is set up and on-orbit prediction method is proposed. For signal processing platform which consists of SRAM-based FPGA and DSP, function parameter and current variety are the two criterion of experiment. 60Co γ radial radiation experiment indicates that total dose is about...
A method to solve multi-target classification problems with unknown clutter parameters is proposed in this paper. The unknown parameter is estimated and synthesized at each observation, and probability of each hypothesis is updated. Subsequently, the optimal waveform for the next illumination is designed based on NP criteria, and the final decision is made based on the sequential probability ratio...
The recognition of wine grapes in images acquired in natural environment is a serious issue solved by researches dealing with precision viticulture. The detection of wine grapes of red kinds is a well managed problem. On the other hand, the detection of white grapes is still a challenging task. In this contribution, the classifier for white wine grapes recognition is introduced and evaluated. The...
In this paper, decentralized spectrum sensing in a network of multiple cooperative cognitive nodes is considered. Based on the averaging consensus protocol, we propose a decentralized implementation of the energy detector, which is conventionally applied for spectrum sensing in a centralized fashion. The exact (non-asymptotic) null distribution of the decentralized energy detector test statistic is...
In this paper, collaborative spectrum sensing to detect random signals corrupted by Gaussian noise in the presence of smart attackers is studied. Unlike to the most of related works, we consider a blind attacker detection so that there is no information about the number of attackers and attack strengths. Also, in our proposed scheme, no information about the Primary User (PU) signal and noise is considered...
The design of scalar quantization for distributed binary decision in presence of an eavesdropper (Eve) is investigated. An encoder/quantizer (Alice) observes a memoryless source and communicate via a public noiseless rate-limited channel with the detector (Bob) who has also access to a correlated analog source. Bob can take advantage of both informations to perform a binary decision on the joint probability...
In this paper, the distributed detection problem of linear and nonlinear signals embedded in white Gaussian noise (WGN) is considered. First, the asymptotically optimal generalized likelihood ratio test (GLRT) detector is derived for both signal models. It is found that the GLRT detector requires the submission of all observed data to the central processor which is practically infeasible. Thus, several...
The test generation problem for analog/RF circuits has been largely intractable due to the fact that repetitive circuit simulation for test stimulus optimization is extremely time-consuming. As a consequence, it is difficult, if not impossible, to generate tests for practical mixed-signal/RF circuits that include the effects of tester inaccuracies and measurement noise. To offset this problem and...
This paper proposed about comparison of the animal recognition processed on the real world objects and the modeled 3D objects. The object classification consists of the three main steps - feature extraction, training classifier and image evaluation. Feature description is based on locale visual descriptors like SIFT or SURF. Support Vector Machine (SVM) in combination with the bags of visual keypoints...
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