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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

共 692 条记录，以下是141-150 订阅

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Efficient Regular Expression Matching and Hardware-Accelerated Finite Automata pattern recognition in NIDS 6

Efficient Regular Expression Matching and Hardware-Accelerat...

引用

6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： thota, Krishna Kishore Retna Raj, R. Jeberson Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu India

ISBN: (纸本)9798350394702

To protect network infrastructure from the ever-changing cyber threats, Intrusion Detection Systems (IDS) perform important duties. this study introduces a sophisticated algorithm aimed at overcoming key challenges in IDS. these challenges include efficient regular expression matching, hardware implementation, and improved pattern recognition. the algorithm employs a unique technique to reduce memory specifications by using controlled faults into the pattern matching process. It builds upon perfect hashing, ensuring precise and efficient regular expression matching, making it ideal for high-speed processing in IDS applications. Additionally, the central component of a hardware-based Network Intrusion Detection System (NIDS), the technique comprises a signature match processor that is based on a field-programmable gate array (FPGA). For effective string matching, this processor makes use of a CAM-based cellular architecture. For multiple signature matches, it generates priority-encoded addresses using a binary tree structure. To enhance IDS capabilities further, the algorithm introduces an efficient method for detecting regular expression matches within network traffic text using Field-Programmable Gate Arrays (FPGAs). It presents a hardware implementation approach based on Deterministic Finite Automata (DFA), enhancing both speed and accuracy in pattern matching. this proposed algorithm provides a comprehensive solution to optimize intrusion detection by integrating innovative techniques in regular expression matching, hardware acceleration, and pattern recognition, thereby enhancing network security against springing cyber threats. © 2023 IEEE.

关键词： Cryptography

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Design, User Experience, and Usability 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Aaron Marcus Elizabeth Rosenzweig Marcelo M. Soares

ISBN: (数字)9783031357022

ISBN: (纸本)9783031357015

this 5-volume HCII-DUXU 2023 book set constitutes the refereed proceedings of the 12th international conference on Design, User Experience, and Usability, DUXU 2023, held as part of the 24th international conference, HCI international 2023, which took place in Copenhagen, Denmark, in July 2023.;the papers included in this volume set were organized in topical sections as follows:;Part II: Design case studies; and creativity and design education;

关键词： User Interfaces and Human Computer Interaction Special Purpose and Application-Based Systems Computer Applications Computer Communication Networks Software Engineering/Programming and Operating Systems Computer Imaging, Vision, pattern recognition and Graphics

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Matching 3D models with Global Geometric Feature Map

Matching 3D models with Global Geometric Feature Map

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12th international Multi-Media Modelling conference

作者： Wang, Donghui Cui, Chenyang Wu, Zheng College of Computer Science Zhejiang University China Institute of Image and Graphics China Academy of Art China

ISBN: (纸本)1424400287

Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models. Since 3D polygonal model can be expressed as a set of facets, the GGFM contrast constitute a spherical histogram about the normal orientation and area and position of every facet on the surface of the model. By computing the spherical correlation between the GGFMs of the matched models, similarity of two models can be obtained. Experimental results show that the proposed method performs well in 3D model similarity matching and is invariant to the translation and rotation and scaling of 3D model. Comparing to the existing methods, this method is fast and needs low computation and storage cost since each facet of the model needs to be computed only once in GGFM.

关键词： pattern matching

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the 12th international Workshop on Urban computing 23

The 12th International Workshop on Urban Computing

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29th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD)

作者： Meng, Chuishi Li, Yanhua Zheng, Yu Ye, Jieping Yang, Qiang Yu, Philip S. Wolfson, Ouri JD Intelligent Cities Res Beijing Peoples R China Worcester Polytech Inst Worcester MA USA Alibaba DAMO Acad Beijing Peoples R China Hong Kong Univ Sci Technol Hong Kong Peoples R China Univ Illinois Chicago IL USA

ISBN: (纸本)9798400701030

Urbanization's rapid progress has led to many big cities, which have modernized many people's lives but also engendered big challenges, such as air pollution, increased energy consumption and traffic congestion. Tackling these challenges were nearly impossible years ago given the complex and dynamic settings of cities. Nowadays, sensing technologies and large-scale computing infrastructures have produced a variety of big data in urban spaces, e.g., human mobility, air quality, traffic patterns, and geographical data. Motivated by the opportunities of building more intelligent cities, we came up with a vision of urban computing, which aims to unlock the power of knowledge from big and heterogeneous data collected in urban spaces and apply this powerful information to solve major issues our cities face today.

关键词： Urban computing Spatio-temporal Data Mining

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the Role of Fog computing and IoT in WBAN: Enhancing Healthcare Efficacy 12

The Role of Fog Computing and IoT in WBAN: Enhancing Healthc...

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12th international conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Goel, Swati Guleria, Kalpna Panda, Surya Narayan Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350369861

the fusion of Fog computing and the Internet of things (IoT) within the realm of Wireless Body Area Networks (WBANs) presents a transformative paradigm that redefines healthcare monitoring and treatment. this convergence leverages Fog computing's localized data processing and IoT's interconnectivity to propel WBAN's capabilities to new heights, enhancing real-time insights, responsiveness, and patient-centric care. this paper delves into how Fog computing and IoT can be applied synergistically in the context of WBAN, ushering in a new era of advanced healthcare. WBAN technology has emerged as a pivotal asset in revolutionizing healthcare by enabling continuous monitoring of physiological data. As WBAN devices proliferate, the integration of Fog computing within this ecosystem has garnered significant attention for its ability to enhance data processing, real-time responsiveness, and overall healthcare efficacy. Fog computing's strategic application within WBAN holds the potential to amplify the benefits of remote patient monitoring and advance the landscape of healthcare delivery. the paper provides an insight on the benefits of using fog computing and IoT integration with WBAN and its architecture. the key characteristics of WBAN using Fog computing, WBAN using IoT, and standalone WBAN are outlined. the paper also highlights the strengths and weakness of all variants. An example scenario related to monitoring elderly patients is also explained to give a clear view of the concept. © 2023 IEEE.

关键词： Fog computing

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computing Cohomology Rings in Cubical Agda 2023

Computing Cohomology Rings in Cubical Agda

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12th ACM SIGPLAN international conference on Certified Programs and Proofs (CPP)

作者： Lamiaux, thomas Ljungstrom, Axel Mortberg, Anders Univ Paris Saclay Gif Sur Yvette France ENS Paris Saclay Gif Sur Yvette France Stockholm Univ Dept Math Stockholm Sweden

ISBN: (纸本)9798400700262

In Homotopy Type theory, cohomology theories are studied synthetically using higher inductive types and univalence. this paper extends previous developments by providing the first fully mechanized definition of cohomology rings. these rings may be defined as direct sums of cohomology groups together with a multiplication induced by the cup product, and can in many cases be characterized as quotients of multivariate polynomial rings. To this end, we introduce appropriate definitions of direct sums and graded rings, which we then use to define both cohomology rings and multivariate polynomial rings. Using this, we compute the cohomology rings of some classical spaces, such as the spheres and the Klein bottle. the formalization is constructive so that it can be used to do concrete computations, and it relies on the Cubical Agda system which natively supports higher inductive types and computational univalence.

关键词： Synthetic Cohomology theory Cohomology Rings Polynomials Homotopy Type theory

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Functional mesh learning for pattern analysis of cognitive processes

Functional mesh learning for pattern analysis of cognitive p...

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12th IEEE international conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2013

作者： Firat, Orhan Özay, Mete Önal, Itir Oztekin, Ilke Vural, Fatoş T. Yarman Department of Computer Engineering Middle East Technical University Ankara Turkey Department of Psychology Koç University Istanbul Turkey

ISBN: (纸本)9781479907816

We propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning machine, local meshes are formed around each voxel. the distance between voxels in the mesh is determined by using functional neighborhood concept. In order to define functional neighborhood, the similarities between the time series recorded for voxels are measured and functional connectivity matrices are constructed. then, the local mesh for each voxel is formed by including the functionally closest neighboring voxels in the mesh. the relationship between the voxels within a mesh is estimated by using a linear regression model. these relationship vectors, called Functional Connectivity aware Local Relational Features (FC-LRF) are then used to train a statistical learning machine. the proposed method was tested on a recognition memory experiment, including data pertaining to encoding and retrieval of words belonging to ten different semantic categories. Two popular classifiers, namely k-Nearest Neighbor and Support Vector Machine, are trained in order to predict the semantic category of the item being retrieved, based on activation patterns during encoding. the classification performance of the Functional Mesh Learning model, which range in 62-68% is superior to the classical multi-voxel pattern analysis (MVPA) methods, which range in 40-48%, for ten semantic categories. © 2013 IEEE.

关键词： Encoding (symbols)

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An Adaptive Sliding-mode Controller for Flexible-joint Manipulator 12

An Adaptive Sliding-mode Controller for Flexible-joint Manip...

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12th IEEE international conference on Control, Automation and Information Sciences, ICCAIS 2023

作者： Chiem, Nguyen Xuan Pham, thuy Xuan thai, Pham Duy Phan, Tran Cong Le Quy Don Technical University Department of Automation and Computing Techniques Hanoi Viet Nam

ISBN: (纸本)9798350328783

this paper represents a method of designing adaptive sliding mode control law for a class of flexible joint manipulators. the method aims at developing and deploying a controller for the system in case of existing disturbances in the process of generating control signal for the actuator. For drivers and motors in low-cost flexible-joint manipulator systems, there are always frictions and torque deviations when they operate. the proposed controller is designed to eliminate the impact of such disturbances on the tracking performance of the manipulator. To validate the design method, the stability of the control law is examined by using Lyapunov method. the performance is evaluated by simulation results as well as real-time responses of the custom-developed system;in addition, they are compared to ones from the counterparts. © 2023 IEEE.

关键词： Lyapunov methods

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Application of Python Scientific computing library and Simulation in Circuit Analysis 12

Application of Python Scientific computing library and Simul...

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12th IEEE international conference on Communication Systems and Network Technologies, CSNT 2023

作者： Zhang, Hong Yang, Ping Niu, Yali Beijing Polytechnic Beijing China

ISBN: (纸本)9781665462617

Complicated manual calculation and drawing often appear in circuit analysis, which brings difficulty to circuit analysis. Manual ways to analysis of the circuit is timeconsuming and laborious, and prone to errors. Python can solve the problem better in circuit analysis instead of manual ways. Python is a high-level, general-purpose interpreted programming language that is widely used in scientific computing and engineering. It also includes a vast collection of Python packages for scientific computing. this ecosystem of scientifically oriented libraries ranges from generic core libraries- such as NumPy, SciPy, and Matplotlib -to more specific libraries for particular problem domains [1]. 1So Python has many applications in circuit analysis, such as equation solving, curve drawing, logic calculation and so on. In this paper, we apply Sympy library of Python to solve the equations of branch current method, use Matplotlib library to draw the sinusoidal AC signal curve, and use programming language of Python to realize the design of logic which is also the realization of logic functions. With the rapid development of computer technology, the application of new technology and software tools in circuit analysis will greatly improve the efficiency of circuit analysis. © 2023 IEEE.

关键词： Python

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proceedings - 2019 IEEE international conference on Cloud computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services

Proceedings - 2019 IEEE International Conference on Cloud Co...

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12th IEEE international conference on Cloud computing, CLOUD 2019

ISBN: (纸本)9781728127057

the proceedings contain 84 papers. the topics discussed include: data protection as a service in the multi-cloud environment;robust management of trans-cloud applications;an adaptive approach for dealing with flow disruption in virtualized water-cooled data centers;cloud VM provisioning using analytical performance models;QuADD : quantifying accelerator disaggregated datacenter efficiency;TrIMS: transparent and isolated model sharing for low latency deep learning inference in function-as-a-service;STRETCH: in-memory storage with autoscaling for cluster computing;exploiting serverless runtimes for large-scale optimization;and non-intrusive cloud application transaction pattern discovery.

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