Results 21 to 30 of about 271 (213)
Multi-Classifier Fusion for Open-Set Specific Emitter Identification
Remote Sensing, 2022 To safeguard the privacy and security of IoT systems, specific emitter identification is utilized to recognize device identity with hardware characteristics.
Yurui Zhao +3 more
doaj +1 more source
A Novel Method for Few-Shot Specific Emitter Identification in Non-Cooperative Scenarios
IEEE Access, 2023 Obtaining larger category-label-containing training signal datasets in non-cooperative scenarios is difficult. Moreover, employing smaller labeled signal datasets for specific emitter identification is technically challenging.
Cunxiang Xie, Limin Zhang, Zhaogen Zhong
doaj +1 more source
The Journal of Engineering, 2023 Increasing Internet of Things (IoT) deployments present a growing surface over which villainous actors can carry out attacks. This disturbing revelation is amplified by the fact that most IoT devices use weak or no encryption.
Mohamed K. M. Fadul +2 more
doaj +1 more source
Specific Emitter Identification Techniques for the Internet of Things
IEEE Access, 2020 Specific Emitter Identification (SEI) detects the individual emitter according its varied signal characteristics. The method operates in the physical layer of the internet and can effectively improve the security of the Internet of Things (IoT ...
Kejin Sa +3 more
doaj +1 more source
Specific emitter identification based on one-dimensional complex-valued residual networks with an attention mechanism [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 Specific emitter identification (SEI) can distinguish single-radio transmitters using the subtle features of the received waveform. Therefore, it is used extensively in both military and civilian fields.
Lingzhi Qu +3 more
doaj +1 more source
IEEE Access, 2023 Radar specific emitter identification (SEI) distinguishes different radar emitters, which is the research hotspot in the fields of electronic countermeasures and intelligence reconnaissance.
Ya Shi +4 more
doaj +1 more source
Specific emitter identification based on ITD and texture analysis
Tongxin xuebao, 2017 To solve the defects of time-frequency analysis and poor separability of extracted features in specific emitter identification (SEI) based on Hilbert-Huang transform (HHT)，a novel SEI method based on intrinsic time-scale decomposition(ITD)was proposed ...
Dong-fang REN +3 more
doaj +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source
A Semi-supervised Emitter Identification Method for Imbalanced Category
Leida xuebao, 2022 This paper proposes an SEI method based on cost-sensitive learning and semisupervised generative adversarial networks to address the problem of incomplete sample labels and imbalanced data category distribution in Specific Emitter Identification (SEI ...
Kaiwen TAN +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source