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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Zhan Wen Xianghong Tang Xiaoyan Huang Tingwei Fu Jianwei Liu Wenzao Li School of Communication Engineering Chengdu University of Information Technology China Mobile Packet Core Department AT&T Inc USA School of Control Engineering Chengdu University of Information Technology China Date Center Chengdu Xingshu Reconnaissance Infrastructure Engineering Company China School of Computing Science Simon Fraser University Canada

ISBN: (纸本)9781728125848

Most existing DTN routing algorithms can't show efficient network performance. Prophet is a routing protocol widely used for DTNs. The delivery predictability of active nodes will obviously reduce with the same speed as less active nodes. In this paper, we propose an Adaptive Probability Prediction Routing (APPR) approach, which can dynamically adjust the aging factor based on the active degree of nodes. Leveraging the APPR approach, the delivery predictability of each node can be reduced in different speed if the node does not encounter the other node. Furthermore, when two nodes encounter, the forward decision depends on the distance between each node to the destination node, if the delivery predictabilities of encountered nodes are similar. Compared with the traditional Prophet, simulation results demonstrate the proposed APPR approach can significantly improve successful delivery ratio, reduce overhead ratio and the average latency.

关键词： Probability prediction Adaptive probability Routing algorithm Delay tolerant network Routing algorithms Line of nodes active nodes Ganglia Obstetric Delivery Network routing Self tuning

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Tuning of fuzzy sharpening filters for biomedical image enhancement

Tuning of fuzzy sharpening filters for biomedical image enha...

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作者： Kukal, Jaromir Sireis, Abduljalil Krbcova, Zuzana Czech Technical University in Prague Faculty of Nuclear Sciences and Physical Engineering Department of Software Engineering Trojanova 13 Prague 2 120 00 Czech Republic University of Chemistry and Technology in Prague Faculty of Chemical Engineering Department of Computing and Control Engineering Technicka 5 Prague 6 166 26 Czech Republic

Various approaches are used for image smoothing and sharpening. The class of fuzzy filters is widely used in the case of spiky noise due to their non–linear behavior. A lot of popular fuzzy filters are realizable in Lukasiewicz algebra with square root. Frequently applied low-pass fuzzy filters were selected from literature and used for the image sharpening with dyadic weights. The first aim of the paper is to find the optimum sharpening with the best Signal–to–Noise Ratio criterion for various noise types and offer general suggestions for fuzzy filter selection. Our results are directly applicable to tomographic images from MRI, PET and SPECT scanners. © 2018, Brno University of Technology. All rights reserved.

关键词： Magnetic resonance imaging

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Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition

arXiv

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arXiv 2019年

作者： Zhao, Meixiang Jia, Zhigang Cai, Yunfeng Chen, Xiao Gong, Dunwei School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China School of Mathematics and Statistics Jiangsu Key Laboratory of Education Big Data Science and Engineering Jiangsu Normal University Xuzhou221116 China Cognitive Computing Lab Baidu Research Beijing100193 China

The two-dimensional principal component analysis (2DPCA) has become one of the most powerful tools of artificial intelligent algorithms. In this paper, we review 2DPCA and its variations, and propose a general ridge regression model to extract features from both row and column directions. To enhance the generalization ability of extracted features, a novel relaxed 2DPCA (R2DPCA) is proposed with a new ridge regression model. R2DPCA generates a weighting vector with utilizing the label information, and maximizes a relaxed criterion with applying an optimal algorithm to get the essential features. The R2DPCA-based approaches for face recognition and image reconstruction are also proposed and the selected principle components are weighted to enhance the role of main components. Numerical experiments on well-known standard databases indicate that R2DPCA has high generalization ability and can achieve a higher recognition rate than the state-of-the-art methods, including in the deep learning methods such as CNNs, DBNs, and DNNs. Copyright © 2019, The Authors. All rights reserved.

关键词： Face recognition

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An IoT Edge computing System Architecture and its Application

An IoT Edge Computing System Architecture and its Applicatio...

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IEEE International Conference on Networking, Sensing and control

作者： Shichao Chen Qijie Li Hua Zhang Fenghua Zhu Gang Xiong Ying Tang Macau University of Science and Technology The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Macau China Beijing University of Technology The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing Aerospace Smart Manufacturing Technology Development Co. Ltd Beijing China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China The Engineering Research Center of Intelligent Systems and Technology Institute of Automation and Cloud Computing Center Chinese Academy of Sciences Beijing China Rowan University Glassboro NJ USA Institute of Smart Education Qingdao Academy of Intelligent Industries Qingdao China

ISBN: (数字)9781728168555

ISBN: (纸本)9781728168562

As the number of devices connected to the Internet of things (IoT) surges, the amount of data explodes. Therefore it not only increases the bandwidth load of data transmission but also aggravates the computing and storage load of a cloud platform. At the same time, the traditional computing paradigm centered on cloud computing cannot meet the real-time requirements in many application scenarios. The emergence of edge computing can solve the problems of realtime data processing and network bandwidth occupation in the current IoT scene. In this paper, according to the characteristics of IoT, such as fragmented data, heterogeneous network, and limited energy consumption, the architecture of an IoT edge computing system is constructed to suit better an IoT scene. In addition, the application of edge computing key technologies such as virtualization, edge intelligence, computing offload, collaborative scheduling and micro-services in resource-constrained IoT scenarios is analyzed in detail. Finally, the functions and application of energy consumption monitoring and optimization to a central air-conditioning system are analyzed and summarized, which is a typical application of edge computing in the context of the IoT.

关键词： Energy consumption Processor scheduling Computer architecture Internet of Things Optimization Monitoring Edge computing

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Average Channel Capacity Analysis for Visible Light Communications with Random Receivers

Average Channel Capacity Analysis for Visible Light Communic...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Xian-Tao Fu Rong-Rong Lu Sheng-Hong Lin Jin-Yuan Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Key Laboratory of Opto-technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Lanzhou China National Local Joint Engineering Research Center for Communication and Network Technologies Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

For indoor visible light communications (VLC), the receivers are usually set to be fixed ones in previous studies. However, the locations and orientations of receivers are affected by random factors in practical VLC systems. In this paper, the performance of VLC with random receivers is investigated. We consider an VLC system, which consists of a transmitter and a receiver. The main noise is additive white Gaussian noise. Two random factors (i.e., random location and random orientation) of the receiver are considered. Based on the established system model, closed-form expressions of the average channel capacity for systems with random location and random orientation are derived, respectively. Numerical results verify the accuracy of the derived theoretical expressions. Moreover, the impacts of the nominal optical intensity, the dimming target, the transmitter height and the Lambertian emission order on system performance are also discussed.

关键词： Visible light communication Optical transmitters Optical receivers Light emitting diodes Channel capacity High-speed optical techniques Wireless communication

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Sensor attack correction for linear systems with known inputs

Sensor attack correction for linear systems with known input...

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作者： Tang, Zhanghan Kuijper, Margreta Chong, Michelle Mareels, Iven Leckie, Christopher School of Electrical and Electronic Engineering University of Melbourne Australia Department of Automatic Control KTH Royal Institute of Technology Sweden IBM Research Australia Australia School of Computing and Information Systems University of Melbourne Australia

We address the problem of attack detection and attack correction for multi-input multi-output discrete-time linear time-invariant systems under sensor attacks. More specifically, we consider the situation that a system with known input is corrupted by additive adversarial attack signals on some of the system's outputs. In this paper, we use system representation in a behavioural approach, which allows for natural and compact statements regarding linear system security. We extend our earlier results for systems with zero inputs to systems with non-zero inputs. We assume that these non-zero inputs are known. © 2018

关键词： Error correction

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Design and performance analysis of multi-scale NOMA for 5G positioning

arXiv

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arXiv 2019年

作者： Yin, Lu Cao, Jiameng Deng, Zhongliang Ni, Qiang Li, Song Zheng, Xinyu Wang, Hanhua School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing100876 China School of Computing and Communications Lancaster University InfoLab21 LA1 4WA United Kingdom School of Information and Control Engineering China University of Mining and Technology Xuzhou China

This paper presents a feasibility study for a novel positioning-communication integrated signal called Multi-Scale Non-Orthogonal Multiple Access (MS-NOMA) for 5G positioning. One of the main differences between the MS-NOMA and the traditional positioning signal is MS-NOMA supports configurable powers for different positioning users (P-Users) to obtain better ranging accuracy and signal coverage. Our major contributions are: Firstly, we present the MS-NOMA signal and analyze the Bit Error Rate (BER) and ranging accuracy by deriving their simple expressions. The results show the interaction between the communication and positioning signals is rather limited, and it is feasible to use the MS-NOMA signal to achieve high positioning accuracy. Secondly, for an optimal positioning accuracy and signal coverage, we model the power allocation problem for MS-NOMA signal as a convex optimization problem by satisfying the QoS (Quality of Services) requirement and other constraints. Then, we propose a novel Positioning-Communication Joint Power Allocation (PCJPA) algorithm which allocates the powers of all P-Users iteratively. The theoretical and numerical results show our proposed MS-NOMA signal has great improvements of ranging/positioning accuracy than traditional PRS (Positioning Reference Signal) in 5G, and improves the coverage dramatically which means more P-Users could locate their positions without suffering the near-far effect. Copyright © 2019, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users

arXiv

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arXiv 2020年

作者： Lu, Huabing Xie, Xianzhong Shi, Zhaoyuan Lei, Hongjiang Yang, Helin Cai, Jun The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education Dalian University of Technology Dalian116024 China The School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China The Key Laboratory of Intelligent Perception and Computing of Anhui Province Anqing Normal University Anqing246011 China The School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China The Department of Information and Communication Engineering School of Informatics Xiamen University Xiamen361005 China Department of Electrical and Computer Engineering Concordia University MontrealQCH3G 1M8 Canada

Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has recently received significant research attention due to its outstanding ability of serving grant-free (GF) users with grant-based (GB) users' spectrum, which greatly improves the spectrum efficiency and effectively relieves the massive access problem of 5G and beyond networks. In this paper, we first study the outage performance of the greedy best user scheduling SGF scheme (BU-SGF) by considering the impacts of Rayleigh fading, path loss, and random user locations. In order to tackle the admission fairness problem of the BU-SGF scheme, we propose a fair SGF scheme by applying cumulative distribution function (CDF)-based scheduling (CS-SGF), in which the GF user with the best channel relative to its own statistics will be admitted. Moreover, by employing the theories of order statistics and stochastic geometry, the outage performances of both BU-SGF and CS-SGF schemes are analyzed. Theoretical results show that both schemes can achieve full diversity orders only when the served users' data rate is capped, which severely limits the rate performance of SGF schemes. To further address this issue, we propose a distributed power control strategy to relax such data rate constraint, and derive analytical expressions of the two schemes' outage performances under this strategy. Finally, simulation results validate the fairness performance of the proposed CS-SGF scheme, the effectiveness of the power control strategy, and the accuracy of the theoretical analyses. Copyright © 2020, The Authors. All rights reserved.

关键词： Spectrum efficiency

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Front Cover: Micrometer-Sized Liposome-Based Systems: A Hierarchical Breakdown (ChemSystemsChem 3/2025)

ChemSystemsChem

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ChemSystemsChem 2025年第3期7卷

作者： Prof. Dr. Shogo Hamada Dr. Hironori Sugiyama Prof. Dr. Yiting Zhang Prof. Dr. Shoji Iwabuchi Soichiro Hiroi Toshiki Maruyama Yuktesh Balaji Sota Kumagai Prof. Dr. Satoshi Murata Prof. Dr. Taro Toyota Department of Computer Science School of Computing & Department of Systems and Control Engineering School of Engineering Institute of Science Tokyo 4259 Nagatsuta-cho Midori-ku Yokohama-city Kanagawa 226-8501 Japan These authors contributed equally. Department of Applied Chemistry Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Department of Chemistry College of Science Rikkyo University 3-34-1 Nishi-Ikebukuro Toshima-ku Tokyo 171-8501 Japan Department of Biotechnology and Life Science Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi Tokyo 185-8588 Japan Department of Basic Science Graduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba Meguro-ku Tokyo 153-8902 Japan Department of Robotics Graduate School of Engineering Tohoku University 6-6-01 Aramaki-Aza Aoba Aoba-ku Sendai Miyagi 980-8579 Japan Universal Biology Institute The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan

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Genetic diversity and comparative genomics across Leishmania (Viannia) species

Communications biology

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Communications biology 2025年第1期8卷 925页

作者： Laura Natalia Gonzalez-Garcia Maria Paula Rodriguez Marcela Parra-Muñoz Ana M Clavijo Laura Levy Clemencia Ovalle-Bracho Claudia Colorado Carolina Camargo Eyson Quiceno Maria Juliana Moncada Carlos Muskus Daniel Alfonso Urrea Felipe Baez-Aguirre Silvia Restrepo María Clara Echeverry Jorge Duitama Systems and Computing Engineering Department Universidad de los Andes Bogotá Colombia. Departamento de Salud Pública Facultad de Medicina Universidad Nacional de Colombia - Sede Bogotá Bogotá Colombia. Hospital Universitario Centro Dermatológico Federico Lleras Acosta E.S.E Bogotá Colombia. Programa de Estudio y Control de Enfermedades Tropicales-PECET Facultad de Medicina Universidad de Antioquia Medellín Colombia. Laboratorio de Investigaciones en Parasitología Tropical (LIPT) Universidad del Tolima Ibagué Colombia. Applied Genomics Research Group Vicerrectoría de Investigación y Creación Universidad de los Andes Bogotá Colombia. Universidad de los Andes Bogotá Colombia. Boyce Thompson Institute Ithaca NY USA. Departamento de Salud Pública Facultad de Medicina Universidad Nacional de Colombia - Sede Bogotá Bogotá Colombia. mcecheverryg@unal.edu.co. Systems and Computing Engineering Department Universidad de los Andes Bogotá Colombia. ja.duitama@uniandes.edu.co.

Leishmaniasis is an important public health problem worldwide, with a broad spectrum of clinical and epidemiological features partly associated with the diversity and complex life cycle of the Leishmania parasites. This study analyzes genomic data from 205 Leishmania (Viannia) samples, including 65 newly sequenced clinical isolates. It also provides chromosome-level genome assemblies for 10 isolates representing different species and populations. The observed distribution of Leishmania genomic diversity across the sampling locations suggests rapid adaptation to different ecosystems. The phylogenomic analysis provides new hypotheses challenging the current delimitation of species. Pangenomic analysis of high-quality assemblies shows consistent copy number variation between species for different gene families. Larger and more diverse amastin gene families were observed in the assembled genomes compared to previous reports based on the analysis of short-read data. This work provides genomic resources and helpful information regarding central problems in the biology of Leishmania spp, including species diversification, transmission dynamics, and the evolution of virulence mechanisms.

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