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We have developed a GaAs-based Blocked-Impurity-Band (BIB) Detector for the application of Terahertz (THz) security check and astronomical observation. In this work, we have fabricated GaAs:Si and GaAs:Te BIB detectors and analyzed their spectral response characteristics at 3.5K The experimental results of GaAs:Si BIB device demonstrate that the spectral response increases when the bias rises from...
We present a digital system for measurement of neutron spectra in mixed gamma-neutron fields. The signal from a standard scintillation detector is sampled at rate up to 1 GHz, using 12-bit analog-to-digital converters. First stage of the signal processing is performed on a Virtex 6 FPGA and partial results are streamed through a fast Ethernet link to a computer, where the final processing takes place...
We introduce scGAN, a novel extension of conditional Generative Adversarial Networks (GAN) tailored for the challenging problem of shadow detection in images. Previous methods for shadow detection focus on learning the local appearance of shadow regions, while using limited local context reasoning in the form of pairwise potentials in a Conditional Random Field. In contrast, the proposed adversarial...
We propose a framework to extend corner feature detection in standard rectangular images with less distortion to distorted circular images captured with fisheye lenses. To solve two problems of nonuniformity of spatial resolution and spherical polar coordinates singularity, our approach makes use of a modification in the Yin-Yang grid, which is an overset grid consisting of two latitude/longitude...
We describe a method to produce a network where current methods such as DeepFool have great difficulty producing adversarial samples. Our construction suggests some insights into how deep networks work. We provide a reasonable analyses that our construction is difficult to defeat, and show experimentally that our method is hard to defeat with both Type I and Type II attacks using several standard...
Robust detection of the smallest circulating cerebral microemboli is an efficient way of preventing cerebrovascular accidents (CVA). Transcranial Doppler ultrasound is widely considered as the most convenient system for the detection of microemboli. Standard detection used in commercial device is achieved through the whole Doppler energy spectrum where constant empirical thresholds are implemented...
Robust detection of the smallest circulating cerebral micro-emboli is an efficient way of preventing Cerebrovascular Accidents. Transcranial Doppler ultrasound is widely considered as the most convenient system for the detection of micro-emboli. Commercially realized standard detection is achieved through the whole Doppler energy spectrum where constant empirical thresholds are implemented. In this...
In this paper the design of an optimal filter for noise reduction in the readout of a charge coupled device (CCD) with applications in particle detection is presented. The proposed approach uses measured data of the noise at the output amplifier of the CCD to obtain the coefficients of a filter that minimizes the pixel variance. The preliminary results show that this approach outperforms the standard...
In this paper a preliminary characterization of an 8 × 6 pixels, FET-based THz imager with on-chip antennas is presented. The sensor was designed and fabricated in a standard 150 nm CMOS technology and it takes advantage of a Switched Capacitor Band-Pass Filter (SC-BPF) followed by a sampling and amplifying stage for the readout chain, implemented at the pixel level.
We address the problem of people detection in top-view fisheye imaging. Even within the same top-view fisheye frame, upright people appear slanted in various directions and are distorted in different ways. Due to this variability, standard people detectors are not directly applicable to top-view fisheye frames, and dedicated people detectors for the top-view fisheye domain are hard to design. We extract...
This paper describe the implementation of a lock-in amplifier (LIA) which conforms to the AXI standard for on-chip communication. The design and implementation is based on the Zynq field programmable gate array (FPGA) present in the open-source instrument RedPitaya. The designed architecture is a mixed solution between VHDL hardware modules and software modules, running within an ARM CPU. General...
X-ray pulsar-based navigation method is a promising autonomous navigation method. The research has been done for nearly 30 years. Several key techniques about this method are the research hotspots now. One of the key techniques is estimation of the time of arrival (TOA) in pulsar's signal processing. The precision of the TOA would affect the precision of X-ray pulsar-based navigation. Using Monte...
Traffic anomaly detection is primarily concerned with identifying malicious traffic patterns in a much larger stream of benign traffic. Traditionally, this is achieved by selecting a very specialized set of traffic-based features that are used for both training a model, as well as for detection at runtime. This paper introduces a novel method of anomaly detection that breaks the assumption that the...
Object detectors have hugely profited from moving towards an end-to-end learning paradigm: proposals, fea tures, and the classifier becoming one neural network improved results two-fold on general object detection. One indispensable component is non-maximum suppression (NMS), a post-processing algorithm responsible for merging all detections that belong to the same object. The de facto standard NMS...
Robust covariant local feature detectors are important for detecting local features that are (1) discriminative of the image content and (2) can be repeatably detected at consistent locations when the image undergoes diverse transformations. Such detectors are critical for applications such as image search and scene reconstruction. Many learning-based local feature detectors address one of these two...
Edge detection had made significant progress with the help of deep Convolutional Networks (ConvNet). ConvNet based edge detectors approached human level performance on standard benchmarks. We provide a systematical study of these detector outputs, and show that they failed to accurately localize edges, which can be adversarial for tasks that require crisp edge inputs. In addition, we propose a novel...
Multi-resolution grid computation is a technique used to speed up source localization with a Maximum Likelihood Estimation (MLE) algorithm. In the case where the source is located midway between grid points, the MLE algorithm may choose an incorrect location, causing following iterations of the search to close in on an area that does not contain the source. To address this issue, we propose a modification...
This paper proposes efficient real time method for sterile zone monitoring with human verification. The propose method consists of two main parts: Motion detection module and human verification module. The role of motion detection module is to segment out foreground object from background. Probabilistic Foreground Detector based on Gaussian Mixture Model(GMM) is used. Region of interest (ROI) obtained...
With the increasing deployments of Network Functions Virtualization (NFV) in both industry and academia, it becomes necessary to design mechanisms for keeping the integrity of Service Function Chains (SFC) responsible for NFV services delivering. Despite the advances in the development of management and orchestration for NFV, solutions to keep SFCs resilient to well-known and zero-day threats are...
Ultra-wide band (UWB) communication is a viable solution for Wireless Sensor Network (WSN) and Internet of Things (IoT) due to low cost and low power requirement. However, UWB transceiver design is more complex due to large bandwidth and precise synchronization requirement. In this paper, we propose a simple peak detection based non-coherent UWB receiver, suitable for low data rate WSN and IoT based...
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