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The automatic detection of anomalies in Active and Assisted Living (AAL) environments is important for monitoring the wellbeing and safety of the elderly at home. The integration of smart domotic sensors (e.g. presence detectors) and those ones equipping modern mobile robots (e.g. RGB-D cameras) provides new opportunities for addressing this challenge. In this paper, we propose a novel solution to...
We consider the problem of inferring the operational status of a reactor facility using measurements from a radiation sensor network deployed around the facility's ventilation off-gas stack. The intensity of stack emissions decays with distance, and the sensor counts or measurements are inherently random with parameters determined by the intensity at the sensor's location. We utilize the measurements...
In this work, the device structure of the mesa-type GaAs:Te blocked-impurity-band detector was designed. The fabrication processes were presented briefly, and optimization of the fabrication processes was investigated. A 3-micron-thick SiO2 film was deposited as resist to substitute for photoresist in the 50-micron-deep mesa etching process. In addition, a bi-layer photoresist lithography technique...
We present the Region of Interest Autoencoder (ROIAE), a combined supervised and reconstruction model for the automatic visual detection of objects. More specifically, we augment the detection loss function with a reconstruction loss that targets only foreground examples. This allows us to exploit more effectively the information available in the sparsely populated foreground training data used in...
In 3D object recognition, local feature-based recognition is known to be robust against occlusion and clutter. Local feature estimation requires feature correspondences, including feature extraction and matching. Feature extraction is normally a two-stage process that estimates keypoints and keypoint descriptors, and existing studies show repeatability to be a good indicator of keypoint feature detector...
In functional genomics, small interfering RNA (siRNA) can be used to knockdown gene expression. Usually, a target gene has numerous potential siRNAs, but their efficiencies of gene silencing often varies. Thus, for a successful RNA interference (RNAi), selecting the most effective siRNA is a critical step. Despite various computational algorithms have been developed, the efficacy prediction accuracy...
GaAs-based Blocked-Impurity-Band (BIB) detector, as a potential high-sensitive, low noise Terahertz (THz) detector, has been developed for the broad application in the area of THz security check and astronomy mission. In this work, GaAs:Si and GaAs:Te BIB detectors were fabricated. Their responsivity properties were measured at T=3.5K, under different biases and the same black body temperature of...
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...
To reduce conservative timing margin, many timing-error detection techniques by monitoring selected critical paths had been proposed. However, traditional adaptive methods incur significant area overheads and cannot prevent the error that is forming in the current clock cycle. In this paper, a low-overhead Transition-Detector (TD) with a 9-transistor current sensing circuit is proposed. TDs are inserted...
In a MIMO wireless communications system, a space-time block code specifies how the data symbols are transmitted over different antennas at different time instants. A hybrid space-time code attempts to obtain some of the available diversity and multiplexing gains, achieving low error probability and high data rate. The LD StBc-VBLAST hybrid code layers one spatial-multiplexing antenna (to increase...
A new architecture of monolithic THz imager adopting a VCO-based signal processing is proposed, and the enhancement of signal-to-noise ratio is analyzed. The 0.5/1.5 THz imagers, implemented in a 65 nm CMOS, show the lower noise equivalent power (NEP) than that of the detector itself, presenting the best NEP among the state-of-the-art imagers. The fully integrated THz imagers do not require external...
The frequency-domain equalization techniques described by Tan & Stüber, Pancaldi & Vitetta, Van Thillo et al, and Williams & Saquib are applied to SOQPSK-TG and its PAM approximation using two principal pulses. A simple representative channel from aeronautical telemetry was used in computer simulations. For weak multipath (measured by a shallow spectral null) the equalizers displayed nearly...
In digital mammography imaging, the quality of the acquired x-ray images is important in examining the human breast for diagnosis and screening. The noise power spectrum (NPS), modulation transfer function, and detective quantum efficiency (DQE) are usually measured to quantitatively evaluate the detector performance. In this paper, the precision of the NPS and DQE properties of several detectors...
Traffic retention is an important factor of intelligent transportation system, which can vividly reflect current state of the road. Accurate estimation of traffic retention can provide support for the dynamic allocation of the traffic signal, thus alleviating the problem of urban traffic congestion. The traditional method can only estimate the long-term or red light traffic retention according to...
Magnetic nanoparticle (MNP) thermometry will be necessary for safe therapeutic implementation of magnetic nanoparticle hyperthermia, a developing cancer treatment. One realization of a MNP thermometer works by detecting harmonic signal (the fundamental f and 3f harmonics) generated by MNPs exposed to ac magnetic field. In this paper, we aim to measure accurately the harmonic signal in a MNP thermometer,...
In order to improve the detection probability of range-spread targets in white Gaussian noise, a detector using waveform contrast is proposed based on multiple-pulse trains. Firstly, sliding cross correlation is utilized to eliminate the detrimental influence of range migration. Then, arithmetic mean algorithm is adopted to synthesize the final high-resolution range profiles (HRRPs). Finally, the...
Adaptive detection problem of range-spread targets is investigated in generalized Pareto sea clutter. Texture component of non-Gaussian sea clutter is considered to follow inverse gamma distribution in order to match the non-Gaussian characteristic of clutter. In response to the heavy detection performance loss of adaptive detectors when the secondary data are limited, the persymmetric structure of...
Prognostic diagnosis is desirable for commercial core router systems to ensure early failure prediction and fast error recovery. The effectiveness of prognostic diagnosis depends on whether anomalies can be accurately detected before a failure occurs. However, traditional anomaly detection techniques fail to detect “outliers” when the statistical properties of the monitored data change significantly...
We present an end-to-end system for detecting and clustering faces by identity in full-length movies. Unlike works that start with a predefined set of detected faces, we consider the end-to-end problem of detection and clustering together. We make three separate contributions. First, we combine a state-of-the-art face detector with a generic tracker to extract high quality face tracklets. We then...
We present a deep-learning framework for real-time multiple spatio-temporal (S/T) action localisation and classification. Current state-of-the-art approaches work offline, and are too slow to be useful in real-world settings. To overcome their limitations we introduce two major developments. Firstly, we adopt real-time SSD (Single Shot Multi-Box Detector) CNNs to regress and classify detection boxes...
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