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检索条件"任意字段=Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition"

共 740 条记录，以下是61-70 订阅

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Rice disease identification using pattern recognition techniques

Rice disease identification using pattern recognition techni...

引用

11th international conference on Computer and Information Technology, ICCIT 2008

作者： Phadikar, Santanu Sil, Jaya Dept. of CSE West Bengal University of Technology Kolkata700064 India Dept. of CST Bengal Engineering and Science University Howrah-711103 India

ISBN: (纸本)9781424421367

the techniques of machine vision are extensively applied to agricultural science, and it has great perspective especially in the plant protection field, which ultimately leads to crops management. the paper describes a software prototype system for rice disease detection based on the infected images of various rice plants. Images of the infected rice plants are captured by digital camera and processed using image growing, image segmentation techniques to detect infected parts of the plants. then the infected part of the leaf has been used for the classification purpose using neural network. the methods evolved in this system are both image processing and soft computing technique applied on number of diseased rice plants. © 2008 IEEE.

关键词： Image segmentation

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CEP Rule Extraction Framework Based on Evolutionary Algorithm 11

CEP Rule Extraction Framework Based on Evolutionary Algorith...

引用

11th international conference of Information and Communication Technology, ICTech 2022

作者： Lv, Jiayao Yu, Bihui Sun, Huajun Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (数字)9781665496940

ISBN: (纸本)9781665496940

Complex Event Processing (CEP) is an effective method to find the time and causality relationship between various events in the stream data. Its purpose is to match the low-level events in the event stream into complex events according to a certain pattern. CEP has a wide range of applications in the Internet of things, cloud computing, finance and cyber security. Currently, in CEP design, event matching rules are mainly formulated by domain experts according to their professional knowledge and subjective judgment. However, with the increase of the complexity of event flow data, it is increasingly difficult to formulate rules. To solve this problem, a CEP rule extraction framework based on an evolutionary algorithm is proposed in this study to realize automatic learning of CEP rules, and test data are used for verification, and high-precision experimental results are obtained. © 2022 IEEE.

关键词： Internet of things

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An Instance-Based Physical Violence Detection Algorithm for School Bullying Prevention 11

An Instance-Based Physical Violence Detection Algorithm for ...

引用

11th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Ye, Liang Ferdinando, Hany Seppanen, Tapio Huuki, Tuija Alasaarela, Esko Harbin Inst Technol Harbin Peoples R China Petra Christian Univ Surabaya Indonesia Univ Oulu Oulu Finland

ISBN: (纸本)9781479953448

School bullying is a common social problem around the world which affects teenagers, and physical violence is considered to be the most harmful. this paper proposed an automatic physical bullying detection method with movement sensors to protect teenagers. Four features were extracted from acceleration and gyro data, and an Instance-Based classifier was applied upon them. Altogether eight kinds of activities, including three bullying kinds and five daily-life kinds, were acted by role playing. Simulations were performed on these data, and the results showed that the proposed algorithm could recognize physical bullying events and distinguish them from daily-life ones at an average accuracy of 80%. this showed a promise in automatic school bullying prevention with activity recognition techniques.

关键词： activity recognition Instance-Based classifier pattern recognition physical violence detection school bullying

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11th Workshop on Clinical Image-Based Procedures, CLIP 2022, held in conjunction with the 25th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2022

11th Workshop on Clinical Image-Based Procedures, CLIP 2022,...

引用

11th Workshop on Clinical Image-Based Procedures, CLIP 2022, held in conjunction with the 25th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2022

ISBN: (纸本)9783031231780

the proceedings contain 9 papers. the special focus in this conference is on Clinical Image-Based Procedures. the topics include: Machine Learning Based Approach for Motion Detection and Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging;automatic Landmark Identification on IntraOralScans;STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation;convolutional Redistribution Network for Multi-view Medical Image Diagnosis;feature Patch Based Attention Model for Dental Caries Classification;Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion recognition;preface.

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On the Deployment of Blockchain in Edge computing Wireless Networks 11

On the Deployment of Blockchain in Edge Computing Wireless N...

引用

11th IEEE international conference on Cloud Networking (CloudNet)

作者： Jaafar, Wael Beyara, Koutoua Jean Romeo Aouini, Imen Ben Abderrazak, Jihene Yanikomeroglu, Halim Ecole Technol Super Montreal PQ Canada ESPRIT Engn Sch Tunis Ariana Tunisia Carleton Univ Ottawa ON Canada

ISBN: (数字)9781665486279

ISBN: (纸本)9781665486279

Blockchain is the core technology at the heart of cryptocurrency such as Bitcoin and Ether. Due to its characteristics, e.g., immutability, decentrality, and consensus, it is now applied in several fields such as communications, e-health, and supply chains. Nevertheless, its integration to communication networks is facing several challenges related to power consumption, unreliable communication channels, and limited computing capacity of devices. In this paper, we focus on blockchain consensus optimization in edge computing wireless networks. Specifically, we propose a novel consensus mechanism adapted to the heterogeneity and dynamicity, e.g., mobility, of edge computing nodes. We call it adaptive blockchain for edge computing (ABEC). through experiments, we demonstrate the superiority of ABEC over baseline consensus, in terms of block addition/confirmation latency and robustness to the edge nodes' unreliable behaviour. Finally, the impact of several network parameters, e.g., data rate of master ruler/block's owner, and number of transactions per block, is investigated.

关键词： Blockchain edge computing consensus mechanism ABEC

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Analysis of Fuzzy String patterns with the Help of Syntactic pattern recognition 11th

引用

11th international conference on Flexible Query Answering Systems (FQAS)

作者： Flasinski, Mariusz Jurek, Janusz Peszek, Tomasz Jagiellonian Univ Informat Technol Syst Dept Ul Prof St Lojasiewicza 4 PL-30348 Krakow Poland

ISBN: (纸本)9783319261546;9783319261539

One of the main problems in the syntactic pattern recognition area concerns analysis of distorted/fuzzy string patterns. Classical methods developed to solve the problem are based on the error-correcting approach or the stochastic one. these methods are useful but have several limitations. therefore, there is still the need to construct effective models of syntactic recognition of distorted/fuzzy patterns. the new approach to the problem is presented in the paper. It is based on the fuzzy primitives and the new class of fuzzy automata. the advantages of the approach are presented in the paper, as well as its comparison to classical approaches.

关键词： Syntactic pattern recognition Fuzzy/distorted patterns Error-correcting parsing Stochastic grammars Fuzzy automata

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Energy-Aware Deep Learning for Green Cyber-Physical Systems 11

Energy-Aware Deep Learning for Green Cyber-Physical Systems

引用

11th international conference on Smart Cities and Green ICT Systems (SMARTGREENS)

作者： Puangpontip, Supadchaya Hewett, Rattikorn Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA

ISBN: (纸本)9789897585722

Today's green computing has to deal with prevalent Cyber-Physical Systems (CPSs), engineered systems that tightly integrate computation and physical components. Green CPS aims to use electronic/computer devices and resources to perform operations as efficiently and eco-friendly as possible. With the rise of smart technology combining with Artificial Intelligence Deep Learning (DL) in Internet of things and CPSs, continuing use of these compute intensive CPS software like DL can negatively impact energy resources and environments. Much research has advanced green hardware and physical component development. Our research aims to develop green CPSs by making them energy aware. To do this, we propose an analytical modelling approach to quantifying energy consumption of software artifacts in the CPS. the paper describes the approach through energy consumption modelling of DL in distributed CPS due to the popular deployment of DL in many modern CPSs. However, the approach is general and can be applied to any CPS. the paper illustrates the application of our approach for energy management in scaling and designing smart farming CPS that monitors crop health.

关键词： Green computing Energy-Aware Energy Modelling Smart Cyber-Physical Systems Edge Deep Learning

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Decision Algorithm for Computational Offloading in Vehicular Fog computing with Pedestrians 11

Decision Algorithm for Computational Offloading in Vehicular...

引用

11th IEEE international conference on Cloud Networking (CloudNet)

作者： Rocha, Paulo Goncalves Souza, Alisson Silva, Francisco Airton Rego, Paulo A. L. Univ Fed Ceara Dept Comp Sci Fortaleza Brazil Univ Fed Ceara Quixada Brazil Univ Fed Piaui Picos Brazil

ISBN: (数字)9781665486279

ISBN: (纸本)9781665486279

With a more significant number of devices integrated and connected in a VANET (Vehicular Ad Hoc Networks), there is greater availability and variety of computing resources to run applications. In VANETs, VFC (Vehicular Fog computing) technology establishes vehicles, edge, and cloud as resource-providing infrastructures. However, the use of VFC as infrastructure for pedestrians is still limited, with few works addressing computational offloading in such a scenario. In this context, we implemented a decision algorithm for the offloading process based on resources provided by VFC to guarantee better offloading and latency rates. the results showed that the implemented algorithm obtained efficiency rates above 90% in the tested scenarios and a reduction of up to 40% in the offloading execution time compared to a random approach tested.

关键词： VANET VFC offloading pedestrian

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Performance Evaluation of Design patterns in AWS 18

Performance Evaluation of Design Patterns in AWS

引用

18th INDIAcom;11th international conference on computing for Sustainable Global Development, INDIACom 2024

作者： Kaur, Pavandeep Kaushik, Ayushi Chandigarh University Apex Institute of Technology Mohali India

ISBN: (纸本)9789380544519

As organizations increasingly adopt cloud computing environments for hosting and processing static content, the choice of an appropriate design pattern plays a crucial role in achieving optimal performance, scalability, and cost-effectiveness. this paper offers a comprehensive comparative analysis of dynamic selection strategies for AWS cloud design patterns tailored specifically for static content processing. By examining a range of widely used design patterns, such as web storage pattern, direct hosting pattern, private distribution pattern, cache distribution pattern, and rename distribution pattern, this study aims to provide valuable insights into the most effective pattern selection methodologies. the research methodology includes an algorithmic approach to implement these patterns using Amazon Web Services, and practical case studies to evaluate the performance, scalability, and cost implications of each design pattern in various real-world scenarios. this research contributes to the growing body of knowledge in cloud architecture and design, providing practical guidance for architects, developers, and decision-makers involved in processing static content in cloud-based environments. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Amazon Web Services Cloud computing Comparative Analysis Design patterns Static Content

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Indirect Network Impact on the Energy Consumption in Multi-clouds for Follow-the-renewables Approaches 11

Indirect Network Impact on the Energy Consumption in Multi-c...

引用

11th international conference on Smart Cities and Green ICT Systems (SMARTGREENS)

作者： Silva Vasconcelos, Miguel Felipe Cordeiro, Daniel Dufosse, Fanny Univ Grenoble Alpes INRIA CNRS Grenoble INPLIG F-38000 Grenoble France Univ Sao Paulo Sch Arts Sci & Humanities Sao Paulo Brazil

ISBN: (纸本)9789897585722

Cloud computing has become an essential component of our digital society. Efforts for reducing its environmental impact are being made by academics and industry alike, with commitments from major cloud providers to be fully operated by renewable energy in the future. One strategy to reduce nonrenewable energy usage is the "follow-the-renewables", in which the workload is migrated to be executed in the data centers with the most availability of renewable energy. In this paper, we study the indirect impacts on the energy consumption caused by the additional load in the network generated from the live migrations of the "follow-the-renewables" approaches. We then provide an algorithm that thoroughly considers the network to schedule the live migrations and, combined with an accurate estimation model for the duration of the migrations, is able to perform the live migrations without network congestion with the same or even reducing the brown energy consumption in comparison to other state-of-the-art algorithms.

关键词： Cloud computing Scheduling Follow-the-renewables

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