The authors regret to inform that: (1) During the resubmission stage of the revised manuscript, in compliance with reviewers' recommendations to show standard deviations in the experimental results (In Section 5. ...
Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without losing keyword privacy. This paper studi...
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Abnormal structure and function of the human brain cause various mental and neurological *** search for neurobiological mechanisms and biomarkers associated with psychiatric disorders has always been a focal point and...
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Abnormal structure and function of the human brain cause various mental and neurological *** search for neurobiological mechanisms and biomarkers associated with psychiatric disorders has always been a focal point and a challenging issue in *** magnetic resonance imaging(fMRI)allows the noninvasive re-cording of high spatial-temporal resolution brain activity in patients,making it one of the primary research methods in integrative neuroscience.
It is well-known that deep learning models are vulnerable to adversarial examples. Existing studies of adversarial training have made great progress against this challenge. As a typical trait, they often assume that t...
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A fundamental problem in cognitive radio is spectrum sensing, which detects the presence of the primary users in a licensed spectrum. To boost the detection performance and robustness, the multiantenna detector has be...
A fundamental problem in cognitive radio is spectrum sensing, which detects the presence of the primary users in a licensed spectrum. To boost the detection performance and robustness, the multiantenna detector has been investigated and various related methods have been developed, e.g., the energy detector, the eigenvalue arithmetic-to-geometric mean detector, and the generalized likelihood ratio test detector. Cooperative sensing, which makes use of multiple receivers distributed in different locations, has the advantage of being able to make full use of the distributed antennas and enjoy a high spatial diversity gain. However, the successful employment of cooperative sensing depends on the reliable information exchange among the cooperating receivers over a long range, which may be impractical for real-world scenarios. In this paper, we consider the scenario where each receiving node can only broadcast its received raw data in a short-range communication fashion. We propose a novel cooperative sensing scheme by allowing each node to send to the fusion center only local correlation coefficients, computed within a neighborhood. A detection algorithm, based on matrix factorization of the partially received sample covariance matrix, i.e., with missing entries, is proposed. The performance of our proposed cooperative scheme is verified via numerical experiments.
An incremental method of feature selection based on mutual information, called incremental Max-Relevance, and Min-Redundancy (I-mRMR), is presented. I-mRMR is an incremental version of Max-Relevance, and Min-Redundanc...
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We consider signal source localization from range-difference measurements. First, we give some readily-checked conditions on measurement noises and sensor deployment to guarantee the asymptotic identifiability of the ...
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We demonstrate a surrounding refractive index (SRI) sensor based on helical long-period fiber grating inscribed in the tapered double-cladding fiber. The maximum SRI sensitivity is 5483.33 nm/RIU.
We demonstrate a surrounding refractive index (SRI) sensor based on helical long-period fiber grating inscribed in the tapered double-cladding fiber. The maximum SRI sensitivity is 5483.33 nm/RIU.
We propose a dual-polarized conformal Zhe-shaped patch antenna that is suitable for future millimeter wave (mmW) applications. The proposed antenna is composed of 3 different layers. A Zhe-shaped (喆) patch is printed...
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Mining non-stationary stream is a challenging task due to its unique property of infinite length and dynamic characteristics let alone the issues of concept drift, concept evolution and limited labeled data. Although ...
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