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FSCIL-EACA: Few-Shot Class-Incremental Learning network Based on Embedding Augmentation and Classifier Adaptation for Image Classification

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Chinese Journal of Electronics 2024年第1期33卷 139-152页

作者： Ruru ZHANG Haihong E Meina SONG School of Computer Science Beijing University of Posts and Telecommunications Education department Information network Engineering Research Center Beijing University of Posts and Telecommunications

The ability to learn incrementally is critical to the long-term operation of AI systems. Benefiting from the power of few-shot class-incremental learning(FSCIL), deep learning models can continuously recognize new classes with only a few samples. The difficulty is that limited instances of new classes will lead to overfitting and exacerbate the catastrophic forgetting of the old classes. Most previous works alleviate the above problems by imposing strong constraints on the model structure or parameters, but ignoring embedding network transferability and classifier adaptation(CA), failing to guarantee the efficient utilization of visual features and establishing relationships between old and new classes. In this paper, we propose a simple and novel approach from two perspectives: embedding bias and classifier bias. The method learns an embedding augmented(EA) network with cross-class transfer and class-specific discriminative abilities based on self-supervised learning and modulated attention to alleviate embedding bias. Based on the adaptive incremental classifier learning scheme to realize incremental learning capability,guiding the adaptive update of prototypes and feature embeddings to alleviate classifier bias. We conduct extensive experiments on two popular natural image datasets and two medical datasets. The experiments show that our method is significantly better than the baseline and achieves state-of-the-art results.

关键词： Training Adaptation models Visualization Image recognition Prototypes Self-supervised learning Power capacitors

Women health and microbiota:Different aspects of well-being

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World Journal of Gastroenterology 2024年第10期30卷 1287-1290页

作者： Giulia Nannini Amedeo Amedei department of Experimental and Clinical Medicine University of FlorenceFlorence 50134Italy network of Immunity in Infection Malignancy and Autoimmunity(NIIMA)Universal Scientific Education and Research Network(USERN)Florence 50134Italy

In this editorial,we comment on the article by Marano et al recently published in the World Journal of Gastroenterology 2023;29(45):*** focus on the role of gut microbiota(GM)in women’s health,highlighting the need to thoroughly comprehend the sex differences in ***,the host and GM support the host’s *** microbiota components consist of viruses,bacteria,fungi,and *** complex is an essential part of the host and is involved in neu-rological development,metabolic control,immune system dynamics,and host dynamic *** has been shown that differences in the GM of males and females can contribute to chronic diseases,such as gastrointestinal,metabolic,neurological,cardiovascular,and respiratory *** differences can also result in some sex-specific changes in *** day,research on GM reveals new and more expansive frontiers,offering a wealth of innovative oppor-tunities for preventive and precision medicine.

关键词： Gut microbiota Women Immune system Well-being Hormones Sexdifferences

Anatomic location of the first dorsal extensor compartment for surgical De-Quervain’s tenosynovitis release:A cadaveric study

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World Journal of Orthopedics 2024年第4期15卷 379-385页

作者： Aditya Thandoni William Nicholas Yetter Steven Michael Regal department of Orthopaedic Surgery Allegheny Health NetworkPittsburghPA 15212United States

BACKGROUND De-Quervain’s tenosynovitis is a disorder arising from the compression and irritation of the first dorsal extensor compartment of the *** who fail conservative treatment modalities are candidates for surgical ***,risks with surgery include damage to the superficial radial nerve and an incomplete release due to inadequate ***,there is a paucity of literature demonstrating the exact anatomic location of the first dorsal extensor compartment in reference to surface ***,this cadaveric study was performed to determine the exact location of the first extensor compartment and to devise a reliable surgical incision to prevent *** To describe the location of the first dorsal compartment in relation to bony surface landmarks to create replicable surgical *** Six cadaveric forearms,including four left and two right forearm specimens were *** were performed by a single fellowship trained upper extremity orthopaedic *** of the first dorsal compartment from landmarks such as Lister’s tubercle,the wrist crease,and the radial styloid were *** variables studied included the presence of the superficial radial nerve overlying the first dorsal compartment,additional compartment subsheaths,number of abductor pollicis longus(APL)tendon slips,and the presence of a *** Distance from the radial most aspect of the wrist crease to the extensor retinaculum was 5.14 mm±0.80 *** distance from Lister’s tubercle to the distal aspect of the extensor retinaculum was 13.37 mm±2.94 ***’s tubercle to the start of the first dorsal compartment was 18.43 mm±2.01 *** radial styloid to the initial aspect of the extensor retinaculum measured 2.98 mm±0.99 *** retinaculum length longitudinally on average was 26.82 mm±3.34 *** cadaveric forearms had separate extensor pollicis brevis *** average number of APL tendon slips was th

关键词： De-Quervain’s tenosynovitis First extensor compartment Cadaveric study Superficial radial nerve Radial styloid Lister’s tubercle

Pure State Feedback Switching Control Based on the Online Estimated State for Stochastic Open Quantum Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2166-2178页

作者： Shuang Cong Zhixiang Dong department of Automation University of Science and Technology of ChinaHefei 230027China Lazas network Technology Co.Ltd Hangzhou 311100China IEEE

For the n-qubit stochastic open quantum systems,based on the Lyapunov stability theorem and LaSalle’s invariant set principle,a pure state switching control based on on-line estimated state feedback(short for OQST-SFC)is proposed to realize the state transition the pure state of the target state including eigenstate and superposition *** proposed switching control consists of a constant control and a control law designed based on the Lyapunov method,in which the Lyapunov function is the state distance of the *** constant control is used to drive the system state from an initial state to the convergence domain only containing the target state,and a Lyapunov-based control is used to make the state enter the convergence domain and then continue to converge to the target *** the same time,the continuous weak measurement of quantum system and the quantum state tomography method based on the on-line alternating direction multiplier(QST-OADM)are used to obtain the system information and estimate the quantum state which is used as the input of the quantum system ***,the pure state feedback switching control method based on the on-line estimated state feedback is realized in an n-qubit stochastic open quantum *** complete derivation process of n-qubit QST-OADM algorithm is given;Through strict theoretical proof and analysis,the convergence conditions to ensure any initial state of the quantum system to converge the target pure state are *** proposed control method is applied to a 2-qubit stochastic open quantum system for numerical simulation *** possible different position cases between the initial estimated state and that of the controlled system are studied and discussed,and the performances of the state transition under the corresponding cases are analyzed.

关键词： Online state estimation state feedback control stochastic open quantum systems(OQST) switching control

Modeling and Performance Analysis of UAV-Aided Millimeter Wave Cellular networks with Stochastic Geometry

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China Communications 2024年第6期21卷 146-162页

作者： Li Junruo Wang Yuanjie Cui Qimei Hou Yanzhao Tao Xiaofeng National Engineering Laboratory for Mobile network Technologies Beijing University of Posts and TelecommunicationsBeijing 100876China National Computer network Emergency Response Technical Team/Coordination Center of China(CNCERT/CC) Beijing 100029China department of Broadband Communication Peng Cheng LaboratoryShenzhen 518055China

UAV-aided cellular networks,millimeter wave(mm-wave) communications and multi-antenna techniques are viewed as promising components of the solution for beyond-5G(B5G) and even 6G *** leveraging the power of stochastic geometry,this paper aims at providing an effective framework for modeling and analyzing a UAV-aided heterogeneous cellular network,where the terrestrial base stations(TBSs) and the UAV base stations(UBSs) coexist,and the UBSs are provided with mm-wave and multi-antenna *** modeling the TBSs as a PPP and the UBSs as a Matern hard-core point process of type Ⅱ(MPH-Ⅱ),approximated but accurate analytical results for the average rate of the typical user of both tiers are derived through an approximation method based on the mean interference-to-signal ratio(MISR) *** influence of some relevant parameters is discussed in detail,and some insights into the network deployment and optimization are *** results show that some trade-offs are worthy of being considered,such as the antenna array size,the altitude of the UAVs and the power control factor of the UBSs.

关键词： average rate downlink millimeter wave point process theory SIR stochastic geometry UAVaided cellular networks

An Empirical Application of User-Guided Program Analysis

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China Communications 2024年第7期21卷 325-333页

作者： Wang Jigang Cheng Shengyu Cao Jicheng He Meihua State Key Laboratory of Mobile network and Mobile Multimedia Shenzhen 518055China department of Cyberspace Security ZTE CorporationShenzhen 518057China

Although static program analysis methods are frequently employed to enhance software quality,their efficiency in commercial settings is limited by their high false positive *** EUGENE tool can effectively lower the false positive ***,in continuous integration(CI)environments,the code is always changing,and user feedback from one version of the software cannot be applied to a subsequent ***,people find it difficult to distinguish between true positives and false positives in the analytical *** this study,we developed the EUGENE-CI technique to address the CI problem and the EUGENE-rank lightweight heuristic algorithm to rate the reports of the analysis output in accordance with the likelihood that they are true *** the three projects ethereum,go-cloud,and kubernetes,we assessed our *** to the trial findings,EUGENE-CI may drastically reduce false positives while EUGENE-rank can make it much easier for users to identify the real positives among a vast number of *** paired our techniques with GoInsight~1 and discovered a *** also offered a patch to the community.

关键词： continuous integration report ranking static program analysis

Motor cortical circuit adaptations in parkinsonism

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Neural Regeneration Research 2024年第10期19卷 2107-2108页

作者： Hong-Yuan Chu department of Neurodegenerative Science Van Andel Research InstituteGrand RapidsMIUSA Aligning Science Across Parkinson’s(ASAP)Collaborative Research network

Parkinson's disease is a chronic and progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta,which leads to the featured motor impairment of parki... 详细信息

关键词： parkin impairment rigidity

A Distributed Computing Algorithm for Electricity Carbon Emission Flow and Carbon Emission Intensity

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Protection and Control of Modern Power Systems 2024年第2期9卷 138-146页

作者： Xingping Wu Wei Yang Ning Zhang Chunlei Zhou Jinwei Song Chongqing Kang Big Data Center of China network Chinese Society of Electrical Engineering State network Big Data Center department of Electrical Engineering Tsinghua UniversityBeijingChina 不详 Big Data Center State Grid Corporation of ChinaBeijing 100052China department of Electrical Engi-neering Tsinghua UniversityBeijingChina

The calculation of the indirect carbon emis-sion is essential for power system policy making,carbon market development,and power grid *** em-bedded carbon emissions of the electricity system are commonly calculated by carbon emission flow ***,the calculation procedure is time-consuming,especially for a country with 500-1000 thousand nodes,making it challenging to obtain nationwide carbon emis-sions intensity ***,the calculation procedure requires to gather all the grid data with high classified levels from different power grid companies,which can prevent data sharing and cooperation among different *** paper proposes a distributed computing algorithm for indirect carbon emission that can reduce the time consumption and provide privacy *** core idea is to utilize the sparsity of the nodes’flow matrix of the nationwide grid to partition the computing procedure into parallel sub-procedures exe-cuted in multiple *** flow and structure data of the regional grid are transformed irreversibly for pri-vacy protection,when transmitted between terminals.A 1-master-and-N-slave layout is adopted to verify the *** algorithm is suitable for large grid compa-nies with headquarter and branches in provinces,such as the State Grid Corporation of China.

关键词： Carbon emission flow cooperative computing carbon emission intensity matrix block par-tition power flow tracing parallel computing privacy protection

MarkNeRF:Watermarking for Neural Radiance Field

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Computers, Materials & Continua 2024年第7期80卷 1235-1250页

作者： Lifeng Chen Jia Liu Wenquan Sun Weina Dong Xiaozhong Pan Cryptographic Engineering department Institute of Cryptographic EngineeringEngineering University of PAPXi’an710086China Key Laboratory of network and Information Security of PAP Xi’an710086China

This paper presents a novel watermarking scheme designed to address the copyright protection challenges encountered with Neural radiation field(NeRF)*** employ an embedding network to integrate the watermark into the images within the training ***,theNeRFmodel is utilized for *** copyright verification,a secret image is generated by inputting a confidential viewpoint into *** this basis,design an extraction network to extract embedded watermark images fromconfidential *** the event of suspicion regarding the unauthorized usage of NeRF in a black-box scenario,the verifier can extract the watermark from the confidential viewpoint to authenticate the model’s *** experimental results demonstrate not only the production of visually appealing watermarks but also robust resistance against various types of noise attacks,thereby substantiating the effectiveness of our approach in safeguarding NeRF.

关键词： Neural radiation field 3D watermark robustness black box