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Many different sensors have been installed on board vessels, a new framework is urgently needed to form a Common Operational Picture (COP), to assist the on-board operations and onshore analysis. In this paper, based on the Visual Analytics framework, we present a spatiotemporal dimension reduction method based on a real world case of oil combat operation. With our prototype, we show that how dimension...
Transit advertising provides frequent exposure to a large number of residents in different urban regions. However, traditional methods are generally manual and qualitatively based on a rough estimation, such as the number of passengers taken by a bus or functional regions covered. How to accurately put an advertisement on appropriate transportations becomes an important task for potential business...
With the rapid rise of various e-commerce and social network platforms, users are generating large amounts of heterogeneous behavior data, such as purchasehistory, adding-to-favorite, adding-to-cart and click activities, and this kind of user behavior data is usually binary, only reflecting a user's action or inaction (i.e., implicit feedback data). Tensor factorization is a promising means of modeling...
An all-optical phase shifter near 1550nm is realized by depositing two-dimension nanomaterial tungsten disulfide (WS2) to tapered fiber. All-optical switch and modulator are also demonstrated by embedding the phase shifter to a Mach-Zehnder interferometer.
In DC microgrids, constant power loads (CPLs) would lead to a destabilizing effect that may cause the main bus voltage oscillation. Hence, most researcher are exploring the stabilization methods for DC/DC buck converters feeding CPLs. In practical applications, buck converters are always cascaded with LC input filters to prevent the switching harmonics from returning into the source. With the addition...
This paper proposes a novel distributed control scheme for DC microgrids to acquire minimum generation cost and recover the global average voltage with consideration of capacity constraints. Our main focus is on constrained problems where the power of each distributed generator (DG) is restricted to lie in the feasible region. In this paper, a global load observer (GLO) is introduced that uses neighbor's...
The wavelength-switching time of a multi-section tunable semiconductor distributed feedback (DFB) laser based on reconstruction equivalent chirp (REC) is studied and measured. The measurement system is based on the Mach-Zehnder interferometer (MZI) with two arms having almost the same length. The measurements are studied both in theory and experiments. All the results are presented and discussed,...
In this paper, the relationship between real and reactive power sharing in islanded microgrid considering the complex impedance effect is analyzed. It is determined that traditional droop control has drawbacks in achieving accurate power sharing caused by the mismatched feeder line effect. In order to enhance the power sharing accuracy, an adaptive droop control using virtual impedance for islanded...
The interleaved bidirectional DC-DC converter is a core component of the battery energy storage system. However, if an open-switch fault occurs at the interleaved bidirectional DC-DC converters, the currents of two branches will become unbalanced, which will increase the battery current ripple and shorten the life of batteries and energy storage systems. In this paper, a fault tolerant topology is...
Bayesian Optimization or Efficient Global Optimization (EGO) is a global search strategy that is designed for expensive black-box functions. In this algorithm, a statistical model (usually the Gaussian process model) is constructed on some initial data samples. The global optimum is approached by iteratively maximizing a so-called acquisition function, that balances the exploration and exploitation...
Programming Micron's Automata Processor (AP) requires expertise in both automata theory and the AP architecture, as programmers have to manually manipulate state transition elements (STEs) and their transitions with a low-level Automata Network Markup Language (ANML). When the required STEs of an application exceed the hardware capacity, multiple reconfigurations are needed. However, most previous...
We demonstrate the modulation bandwidth enhancement in integrated coupled DFB lasers. The coupling strength of the dual DFB is tunable duo to a SOA sandwiching in the center. The 3-dB bandwidth is increased from 8.6 GHz to 18.7 GHz under mutual injection locking.
Object Tracking is an important task in Computer Vision, which has gained increasing attention from academia to industry. In this paper, we propose a real-time tracking system based on weak segmentation. Different from general tracking by detection systems, we do not classify objects into car, cat or bike, instead we just classify the image into object area and non-object area. Many tracking systems...
In this paper, we study the link-oriented tasks in signed network, i.e., labeling link signs and predicting new links. Usually, prior arts directly focus on the link signs, while their intrinsic structural regularities have been largely ignored. Furthermore, these techniques suffer the sensitiveness to the high dimension and sparsity of networks. To deal with these tasks, with verifying the effect...
Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as the first sub-task in the argumentation mining pipeline. Existing ACBD methods heavily depend on task-specific knowledge, and require considerable human efforts on feature-engineering. To tackle these...
Argumentation mining aims at automatically extracting the premises-claim discourse structures in natural language texts. There is a great demand for argumentation corpora for customer reviews. However, due to the controversial nature of the argumentation annotation task, there exist very few large-scale argumentation corpora for customer reviews. In this work, we novelly use the crowdsourcing technique...
Deep Convolutional Neural Networks (CNNs) achieve substantial improvements in face detection in the wild. Classical CNN-based face detection methods simply stack successive layers of filters where an input sample should pass through all layers before reaching a face/non-face decision. Inspired by the fact that for face detection, filters in deeper layers can discriminate between difficult face/non-face...
Polarization sensitive arrays can suppress the interferences by taking advantage of differences in polarization domain while the interferences and desired signals are from the same direction. In this paper, a 4-element dual-linear-polarized array is used to realize the anti-jamming function in joint spatial-time-polarization domain. A Right-Hand Circular Polarization (RHCP) constraint is added to...
An iterative least-squares (RLS) anti-jamming technique is applied to a conformal antenna for improving the adaptive anti-jamming performance. This method offers a solution to synthesize predefined radiation pattern. By iterative calculation, a set of constraint weights of linearly constrained minimum variance (LCMV) can be obtained to improve the adaptive nulling depth and to expand the angle coverage...
This paper proposes a single-layered dual-band patch antenna using a CRLH mushroom-like metamaterial structure. The antenna is compact, it can achieve maximum gains of 2.29 dBi at 2.76 GHz and 7.06 dBi at 4.27 GHz, with a monopole-like and a patch-like radiation pattern, respectively. The bandwidths for the reflection coefficient less than −10 dB are 28 MHz at the low frequency band and 130 MHz at...
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