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Link prediction plays an important role in complex network analysis. It is to predict the existence of an unknown link or a future link in a network. Classical methods for link prediction evaluate the similarity of vertices based on common neighbors, and denote that every common neighbor makes equal contribution to the connection likelihood. However, common neighbors may play different roles depending...
Due to the sustained and rapid growth of information and communication technology (ICT) and automation techniques, smart factories for high-end equipment manufacturing involve extensive collaborative networks and knowledge sets. Conventional manufacturing modes are undergoing profound reforms in the Internet and Big Data era, and operations management of such factories should lay more emphasis on...
This study helps telecom operators to establish device security monitoring and centralized statistical analysis tools for an entire telecom operator network. Operators can use the proposed process to monitor device security in a variety of heterogeneous network architectures. We propose ISMS, an Integrated Security Monitoring System for monitoring security events on digital service network devices...
When monitoring, controlling or optimizing complex processes, people try to forecast some concerned key indices, such as product quality. However, in practical applications, small sample size problem and data uncertainty affect the accuracy of forecasting. In this paper, a novel Index Forecasting algorithm is proposed called Uncertain Multi-Task Learning (UMTL), in which similar forecasting problems...
Map matching is the problem of matching the recorded geographic coordinates to a road network. In this paper, we propose an algorithm focusing on online process of low sampling rate data which estimates the weight of the candidate road based on spatial analysis and topological constraints. The proposed algorithm divides the whole trajectory into several parts and performs map matching respectively,...
In view of dynamic multi-criteria decision-making problems, in which the criteria value of alternatives are three-parameters interval numbers and criteria exists different natural states, a dynamic grey stochastic multi-criteria decision-making method is proposed. According to the stationary distribution thought of Markov chain, the final state of natural possibility is obtained. The time information...
With the high-speed railway of large-scale construction and operation, people have alternative options on the long-distance, short-term demand for passenger transport. Factors affecting civil aviation demand elasticity including civil aviation route characteristics such as distance, civil aviation market structure, number of passengers and so on, end-point city characteristics such as urban population,...
Neuron tip points are very good candidates of seeding points for neuron tracing applications. Previously, a ray-shooting model was proposed to detect neuron tips in confocal microscopy images. However, it is not applicable in challenging datasets where the neuron structure is very complicated. In this paper, we propose a tip point detection method based on the Multistencils Fast Marching (MSFM) distance...
Thanks to the ubiquitous computing, the scale of data collection in various fields has been growing rapidly. Medicine is one of the fields that can benefit from the big data. However, it is faced with a big challenge because medical datasets are normally in high dimensions. Therefore, reducing dimensionality and finding the optimal set of features or attributes is of great importance. This paper presents...
The flexure hinge is a key component for designing compliant mechanisms that have been widely used in precision engineering which high positioning accuracy is demanded. This paper presents a systematic method for designing flexure hinges by using the topology optimization method. An optimization model is developed by equally considering the following three objectives: (I) maximizing the compliance...
Hybrid beamforming architecture that combines analog beamforming and digital beamforming has been widely accepted in the emerging millimeter-wave (mmWave) systems with large antenna arrays. However, the design of codebooks and beam training procedures at the analog stage is problematic in mmWave system. In this study, we propose a feasible two-stage 3D codebook design consisting of a primary codebook...
Rapid and accurate determine of blood types is very important during emergency situation before administering a blood transfusion. At present the method based on image recognition technology to quickly determine blood type has been widely used in the automated blood analyzer. In this paper, we propose a fast, accurate and robust blood group judgement method based on the image features of ABO blood...
The wound care management of bedsore is important to long-term bedridden patients. The wound size is usually monitored by a consumer-graded camera and then calculated by computer-aided analysis. In this paper, we simulated a subcutaneous and dermal injury using vacuum cupping experiment and performed multispectral imaging with three wavelengths, including active 650 nanometers red light and 940 nanometers...
When a severe grid voltage sag has happened, the transient rush current caused by grid voltage sag can not be effectively suppressed by the voltage controlled grid tied inverter based on the conventional virtual synchronous generator(VSG) control. In order to improve the capacity of voltage controlled grid tied inverter to withstand power grid voltage sag, the paper proposes an enhanced robust strategy...
We report a passively mode-locked fiber laser based on a saturable absorber via short single-wall carbon nanotubes interact with evanescent wave in cladding holes of grapefruit-type photonic crystal fiber.
Rapid and low power computation of optical flow (OF) is potentially useful in robotics. The dynamic vision sensor (DVS) event camera produces quick and sparse output, and has high dynamic range, but conventional OF algorithms are frame-based and cannot be directly used with event-based cameras. Previous DVS OF methods do not work well with dense textured input and are designed for implementation in...
In recent years the spread and easy availability of drug led to drug abuse; consequently drug trafficking gradually increased. In order to enable people to understand how their appearance becomes after having taken drugs, we propose a system on cloning human facial features based on example images. Our goal is to clone the facial features on an example image to a source image without changing the...
With the development of Chinese economy and society, energy security and environmental pollution problems in China have become increasingly prominent, developing electric vehicles rapidly has become a national strategic choice. A perfect charging facilities system is an important guarantee for the rapid development of electric vehicles, and charging facilities planning is an important part of the...
The round trip time of the light pulse limits the maximum detectable frequency response range of vibration in phase-sensitive optical time domain reflectometry (φ-OTDR). We propose a method to break the frequency response range restriction of φ-OTDR system by modulating the light pulse interval randomly which enables a random sampling for every vibration point in a long sensing fiber. This sub-Nyquist...
Accurate state-of-charge (SOC) estimation is essential to battery management system. The widely adopted estimation methods based on Kalman Filter (KF) fail to take the variable environmental conditions into consideration, which may result in a poor accuracy. This paper proposes a novel estimation model based on KF method to estimate SOC of Lithium-ion battery. In the proposed model, the noise variances...
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