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Traffic regulation is an essential technology of networks-on-chip (NoC) to achieve communication performance guarantees with effective use of the system interconnect and low traffic delay. This paper presents approximation-based dynamic traffic regulation (ABDTR), which approximates part of traffic data instead of network transmission for mitigating network congestion based on the inherent error resilience...
Next-generation sequencing (NGS) and the third generation sequencing (TGS) have recently allowed us to develop algorithms to quantitatively dissect the extent of heterogeneity within a tumour, resolve cancer evolution history and identify the somatic variations and aneuploidy events. Simulation of tumor NGS and TGS data serves as a powerful and cost-effective approach for benchmarking these algorithms,...
In this paper, a near Optimum Power Allocation (OPA) for a cooperative jamming relay network is proposed, by using physical layer security to protect the user's messages from relay's interception. The network uses Amplify and Forward (AF) relay to enlarge the coverage area, however the relay is untrusted. By defining secure Energy Efficiency (EE) as the ratio of the instantaneous secrecy rate to the...
The control performance and safety of current brain-controlled mobile robots are limited. To address this problem, in this paper, we design an assistive controller based on the model predictive control method. The proposed controller fuses tracking user intention and guaranteeing safety of brain-controlled mobile robots into an optimization problem. In this way, the proposed controller can make users...
Security is a demanding request for wireless networks, with physical layer security the problems in traditional encryption algorithms and key management are vanished. In this paper, a novel beamforming scheme is proposed to improve secrecy rate in an untrusted relay network, where the untrusted relay helps to improve the network coverage area but may act as a potential eavesdroper. A destination-assisted-jamming...
Clustering is a popular method to deal with the problem for mode identification of multimode processes. Unlike traditional distance-based clustering methods, in this paper, a new correlation-based bi-partition hierarchical clustering (CBHC) method is proposed, which classifies the observations according to their correlation relationships rather than their distances. Motivated by an existing correlation-based...
When the PD occurs, the charge moves rapidly, producing high-frequency currents while also radiating electromagnetic waves. While the switchgear is a metal closed structure, but also make a partial discharge signal to produce multiple reflections. Usually there is a gap in the surface of the switchgear, electromagnetic waves can leak through the gap to continue in the air and switch cabinet surface...
This paper proposes a novel algorithm for the joint estimation of DOA, range and frequency of mixed far-field and near-field sources. Based on the second order statistics of a symmetric uniform linear array, this method constructs two correlation matrices in the first step to obtain the estimates of DOA and frequency parameters. In the second step, two more correlation matrices are derived. The range...
A novel moving target imaging algorithm is proposed based on coherently integrated cubic phase function (CICPF) for synthetic aperture radar (SAR) system. The CICPF algorithm can solve the identifiability problem caused by cubic phase function (CPF) when dealing with multicomponent signals. Moreover, the CICPF algorithm can estimate the parameters of multicomponent signals without searching procedures...
A novel tri-dipole antenna used in UHF band near field RFID reader system is investigated. The new antenna achieves strong and uniform magnetic field distribution over 870MHz-940MHz which can cover the ETSI band of Europe and FCC band of the USA. The advantages of strong current and high efficiency could be achieved by this novel RFID reader antenna.
For high-dimensional magnetic resonance imaging (MRI) data, many feature selection methods have been proposed to reduce feature dimension in the study of computer-aided Alzheimer's disease (AD) diagnosis. This paper presents a compartmental sparse feature selection method used for AD identification. Based on the derived atlas-based regions-of-interest (ROIs) of brain, the proposed method partitioned...
Magnetic resonance imaging (MRI) has been successfully applied to investigate neuron pathological changes. Since the high dimension of observation data, sparse feature learning plays an important role in overcoming the challenge of high variable dimension and low sample size problem among the disease identification. In this paper, sparse Elastic Net (EN) was used to extract low dimension features...
Spectrum decision is the key function of a cognitive radio(CR) to choose the most proper spectrum band to meet secondary users'(SUs') quality of experience(QoE) requirements. It is challenging to perform spectrum decision for multimedia applications in cognitive radio networks(CRNs) due to two reasons. One is that QoE evaluation model for SU in CRNs is still an open issue, for the conventional QoE...
According to the second national sample survey of disabled people, the number of disabled people reaches 82,960,000 in China, which accounts 6.34% of the total population In the same year, the number of disabled people from Beijing is 999,000, which accounts for 6.49% of all populations of the city. If calculated according to the proportion, the number of people of disabled people would be reach 1,409,000...
Spatial heterogeneity is a universal phenomenon that exits in ecological systems. In addition, it is one structural feature of ecological systems. Hence, quantification of spatial heterogeneity can examine structure of ecological systems. The Wenchuan earthquake triggered cascading disasters of landslides and debris flows that caused severe vegetation damage. Besides detecting the change, the magnitude...
The purpose of this study was to investigate the role of verbal/visual cognitive styles in self-efficacy, online searching behaviors (i.e. deep diving/fast surfing searching strategies, online searching process) and online performance in the text-based searching environment. There were seventy-four junior high students who enrolled in the course of Chinese participated in this study. The study used...
Narrow-band interference (NBI) is a common jamming signal against synthetic aperture radar (SAR), in which the imaging quality can be degraded severely. To suppress NBI effectively, a novel interference suppression algorithm using robust principal component analysis (RPCA) based time-frequency signal separation is proposed. The RPCA algorithm is introduced for time-frequency signal separation for...
Predictable wireless networking is a basis for real-time cyber-physical-human (CPH) systems such as those in augmented reality, connected and automated vehicles, and industrial automation, and a fundamental problem in predictable wireless networking is predictable control of intra-network interference in the presence of dynamics and uncertainties. We present the Physical-Ratio-K (PRK) wireless interference...
The safety of weaving segments is a concern because of the complicated and intensive merge, diverge, and weaving maneuvers in a limited space. However, rarely did safety studies address the safety of weaving segments in simulation or apply ramp metering (RM) to improve its safety. This study first built a microsimulation VISSIM network for 16 weaving segments on an expressway to obtain the driver...
With the increasing complexity of the surrounding maritime situation, the high resolution imaging of ship targets has become a hot topic again in recent years. The optimal time selection based imaging is an effective approach for ship ISAR imaging. In this paper, two optimal time selection based imaging methods for ship targets, which use an improved Doppler Spread (DS) estimation and the Doppler...
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