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Several decades of research have shown peer assessment to be an effective pedagogical approach. Researchers have shown that peer assessment has the potential to provide students more copious, timely and helpful feedback, and also helping reviewers to learn as well. In recent decades, peer assessments in educational settings have increasingly been facilitated by online tools. Some MOOC platforms also...
This paper reports a highly sensitive distributed optical fiber sensing technique based on resolving the optical interference information in the microwave frequency domain. This technique uses a microwave intensity modulated coherent light through cascaded weak reflectors along a single mode fiber (SMF). The microwave is used to resolve the location of each reflector along the SMF. The coherence length...
Texture classification has been extensively studied in computer vision. Recent research shows that the combination of Fisher vector (FV) encoding and convolutional neural network (CNN) provides significant improvement in texture classification over the previous feature representation methods. However, by truncating the CNN model at the last convolutional layer, the CNN-based FV descriptors would not...
Despite of the ultra-wideband (UWB) system's robustness against multipath in cluttered environments, a number of challenges remain before UWB localization can be implemented. In particular, non-line-of-sight (NLOS) propagation is especially critical for high-resolution localization systems because non-negligibly positive biases will be introduced in distance measurements, thus degrading the localization...
This paper considers the problem of decentralized, cooperative, and dynamic self-localization in wireless sensor networks. In particular, we are interested in a restrictive but very realistic scenario where few anchors are deployed and each anchor whose location is priori known may only communicate with very few agents (e.g. just one agent) whose location is unknown and to-be-estimated. The lack of...
This paper considers the problem of range-based decentralized localization in wireless sensor networks when the impulsive measurement noise is present. We develop a robust localization estimator requiring no a priori knowledge of the noise distribution. The approach to robust localization presented here follows the concept of M-estimation and is implemented in a decentralized manner thus suiting the...
This paper describes the current up-to-date model of the interaction between two ships in an overtaking situation, build the mathematical model for ship's motion based on the MMG model and simulate the ship's maneuvering motion when they are overtaking in the restricted waters by a semi-theoretical semi-empirical model. One hand, to verify the correctness of the model; on the other hand, to provide...
This paper addresses the mean square stabilization for a network control system with DoS (denial of service) type of cyber-attack. The DoS attack is assumed to be Markovain, and switching control strategy is proposed to cope with this attack. Firstly, a model of dual switched linear system is presented to describe the aforementioned system. To fulfill mean square stabilization, the minimal switching...
If I provide you a face image of mine (without telling you the actual age when I took the picture) and a large amount of face images that I crawled (containing labeled faces of different ages but not necessarily paired), can you show me what I would look like when I am 80 or what I was like when I was 5? The answer is probably a No. Most existing face aging works attempt to learn the transformation...
The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. To this end, we investigate various ways to trade accuracy for speed and memory usage in modern convolutional object detection systems. A number of successful systems have been proposed in recent years, but apples-toapples...
We propose and demonstrate a Hilbert Superposition (HS) scheme in an optical single side-band (SSB) modulation and direct-detection system. The optical SSB signal is generated by a relatively low-cost dual-drive Mach-Zehnder modulator (DDMZM) biased at the quadrature point. The two driving signals are a pair of Hilbert signals with Nyquist pulse-shaped four-level pulse amplitude modulation (NPAM-4)...
This Various kinds of parameters is widespread in the field of the software which constitutes business foundation. Based on the parameter variability and life cycle characteristics, highly efficient and flexible information management system of the parameters is weaken. In the process of parameters management, it is a worthy problem to research deeply that involving parameters into the full life cycle...
For deep space networks, the major challenge is that transmission power consumption is serious while the power resource is limited. In this paper, we proposed a Temporal Graph Model based Power Aware Routing algorithm using a weighted metric of remaining power level, data rate and distance of nodes for determining routes. The traditional standards and techniques of static networks is hard to solve...
White matter segmentation is an essential step to study whole-brain structural connectivity via diffusion MRI white matter tractography. One important goal of segmentation methods is to improve consistency of the white matter segmentations across multiple subjects. In this study, we quantitatively compare two popular white matter segmentation strategies, i.e., a cortical-parcellation-based method...
Histopathology image classification can provide automated support towards cancer diagnosis. In this paper, we present a transfer learning-based approach for histopathology image classification. We first represent the image feature by Fisher Vector (FV) encoding of local features that are extracted using the Convolutional Neural Network (CNN) model pretrained on ImageNet. Next, to better transfer the...
Segmentation of white blood cells (i.e. leukocytes) is a crucial step toward the development of haematological images analysis of peripheral blood smears. This step, however, is complicated by the complex nature of the different types of white blood cells and their large variations in shape, texture, color, and density. This study addresses this issue and presents a single fully automatic segmentation...
This work presents an initial exploration of joint cortical surface and diffusion MRI analysis for neurosurgical patient data. We propose a groupwise cortical modeling strategy that performs an embedding of cortical points from a healthy population and a method for transferring the embedding (with associated information of anatomical label) to patient datasets for cortical parcellation prediction...
This paper presents a study performed to evaluate the benefits of stress control metrology in Silicon Germanium (SiGe) epitaxy. Various in-line and off-line metrology tools are studied and compared, such as using OCD (Optical Critical Dimension) to monitor SiGe profile, using SE (Spectroscopic Ellipsometry), HRXRD (High Resolution X-ray Diffraction), SIMS (Secondary Ion Mass Spectrometry) to achieve...
X-ray photoelectron spectroscopy (XPS) can be used for surface layer characterization. Thin film thickness and composition can be determined. This paper presents a study performed to evaluate the benefits of high-k metal gate films measurement using a novel and high throughput in-line XPS technique. Various thin films such as SION and HfO2 are measured. The strengths and drawbacks of XPS are presented...
The paper develops a sequential maximum-likelihood algorithm to estimate a near-field wideband emitter's azimuth-elevation direction-of-arrival plus radial distance, based on data collected by one acoustic vector sensor. This new algorithm needs no prior knowledge of the incident signal's time-frequency signal structure.
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