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Detecting community structure in epidemics networks is crucial for the assessment of epidemic dynamics and effective control of disease spread by targeting at the individuals bridging communities. Common community detection models (e.g., cut-criteria and modularity-criteria based model) are efficient in optimal quality of network partitions. However, most of the approaches fail to consider the dynamic...
The rapid growth of data center traffic, driven by cloud technology adoption, has propelled the development of a variety of spectrally efficient modulation formats, such as 4-level pulse amplitude modulation (PAM4), quadrature phase shift keying (QPSK) and quadrature amplitude modulation (QAM). High speed CMOS DSP-based transceivers provide complex equalization scheme to compensate for the channel...
This paper presents a wind-driven DC power generation and control system modified by a doubly fed induction generator (DFIG), which stator is connected with a full-power diode rectifier to supply DC power to a stand-alone load and rotor is connected to the DC link with a PWM converter in charge of regulation of frequency and voltage on stator side. The transient character and behavior of current,...
The ‘TALON’ architecture has been proposed to meet the unprecedented processing requirements and flexibility required for the Square Kilometre Array-Phase-1 (SKA1) Mid telescope, Correlator & Beamformer (Mid. CBF). The high-performance hardware platform of the TALON architecture incorporates two variants of TALON line-replaceable-units (LRUs); TALON-SX and TALON-MX. Each LRU features a single...
Operating reliability has great significance for equipment condition monitoring and health evaluation. In terms of equipment to be evaluated, reliability assessment is a personalized problem. Traditional reliability assessment method relies on the probability and mathematical statistics methods, and has limited practical significance when it is used for real-time monitoring of a specific equipment...
Android access control granularity based on its permission mechanism is relatively coarse, which cannot effectively protect the user privacy. Many Android applications do not strictly abide by the principle of least privilege (PLP). Both benign and malicious apps may request more permissions than those they really use. We rethink previous permission over-claim problem of Android applications, and...
Multimodal classification arises in many computer vision tasks such as object classification and image retrieval. The idea is to utilize multiple sources (modalities) measuring the same instance to improve the overall performance compared to using a single source (modality). The varying characteristics exhibited by multiple modalities make it necessary to simultaneously learn the corresponding metrics...
Crack inspection is one of the most important tasks for concrete bridge monitoring. Traditionally, human-based inspection systems using people's eyes are unsafe and costly. To overcome this problem, a novel unmanned aerial vehicle (UAV) based inspection system is developed to detect cracks on the lateral sides and underside of bridges. Applying obstacle avoidance modules, UAV can reach bridges' lateral...
Since the echo characteristics of moving targets are different from the stationary scene, the traditional reconstruction algorithm, i.e., the reconstruction filter algorithm, is not applicable. In this paper, a novel reconstruction approach of the moving target for a multichannel in azimuth high-resolution wide-swath (HRWS) synthetic aperture radar (SAR) system, modified from the traditional reconstruction...
Crack detection is crucial for maintaining the structural health and safety of concrete bridges. Previous studies mainly focus on the detection of thick and conspicuous cracks on bridge deck using high resolution images. However, it's difficult to obtain accurate crack detection results on the underside of bridges due to the fainter and thinner appearance and lower contrast of cracks to their background...
This paper examines the l2–l∞ filtering problem for a class of discrete-time networked switched systems under modal persistent dwell time switching. Multiple communication channels subject to one primary channel and multi-redundant channels coincide with the networked surroundings. The choice of which redundant channel to use at the current time is obedient to a multinomial distribution sequence....
We introduce a new covariance descriptor combining object visual (color, gradient, depth, etc.) and geometric information (3D coordinates, normal vectors, Gaussian curvature, etc.) for mobile robot with RGB-D camera to deal with point cloud data. The improved mismatching correction algorithm is applied in the feature point mismatching correction of 3D point cloud, and then this correction algorithm...
SLAM (Simultaneous Localization and Mapping) of robot is the key to achieve autonomous control of robot, and also a significant topic in the field of mobile robotics. Aiming at 3D modeling of indoor complex environment, this paper presents a fast three-dimensional simultaneous location and mapping (SLAM) method for mobile robots. On the basis of RGB-D SLAM algorithm, the open-source software combining...
Cloud service monitoring is a critical need for both providers and customers to assess the state of resources and the level of delivery of services. However, existing Cloud service monitoring methods are typically inapplicable in case the targeted service parameters are inaccessible, e.g., Cloud Service Providers do not allow external access to some service parameters for varied reasons (proprietary...
The Product-Service System (PSS) has evolved from the manufacturing servitisation, which is an extension of the service component around a product for business activities. A PSS has been described as a manufacturing transition strategy, shifting the business focus from selling physical products only, to selling PSS, which are jointly capable of fulfilling specific client demands'. The change in human...
This research aims to study the neural influence of conflict between brand and product performance on consumer decision. In the experiment, stimuli of products with brand and performance information were displayed randomly. 22 subjects need to decide whether to buy, while the event-related potentials (ERPs) were recorded. The stimuli were divided into four conditions based on the consistency of brand...
This paper investigates a remote state estimation problem, where a smart sensor observes the state of a physical plant, locally estimates the state with Kalman filter, and then sends its local estimation data to a remote estimator through a communication network. There is a jamming attacker in the communication network who intentionally blocks the network with the purpose of deteriorating estimation...
As a promising alternative to centralized scheduling, sample-based scheduling is especially suitable for high fan-out workloads that contain a large number of interactive jobs. Compared to centralized schedulers, existing sample-based schedulers do not hold a global view of the cluster's resource status. Instead, the scheduling decisions are made solely based on the status of a small set of randomly...
This paper is concerned with the sensor power management problem in remote state estimation. An optimization problem is first constructed which minimizes the weighted average sum of the estimation errors and the sensor power costs. Then a Markov decision process (MDP) based method is used to find out the optimal solution. Since the optimal solution cannot be analytically expressed, an approximation...
At rates of 100Gb/s and above, CMOS DSP-based transceivers integrated with high-sampling-rate data converters are critical to realize the phase-sensitive modulation schemes based on coherent detection that are essential to metro and long-haul networks [1]. To support dual-polarization QPSK format, quad low-power DACs and ADCs are needed and precise phase alignment has to be maintained between XI,...
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