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检索条件"任意字段=Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems"

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proceedings of the 12th international conference on Biomimetic and Biohybrid systems, Living Machines 2023

Proceedings of the 12th International Conference on Biomimet...

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proceedings of the 12th international conference on Biomimetic and Biohybrid systems, Living Machines 2023

ISBN: (纸本)9783031395031

the proceedings contain 32 papers. the special focus in this conference is on Biomimetic and Biohybrid systems. the topics include: Wrinkle-Free Sewing with Robotics: the Future of Soft Material Manufacturing;bioinspired Soft Actuator based on Photothermal Expansion of Biodegradable Polymers;anisotropic Actuation in Salty Agarose Gel Actuators;soft Electroactive Suction Cup with Dielectric Elastomer Actuators for Soft Robotics;miniature Soil Moisture Sensors for a Root-Inspired Burrowing Growing Robot;soft Tubular Strain Sensors for Contact Detection;bioderived Hygromorphic Twisted Actuator for Untethered Sustainable systems;underactuated Robotic Fish Control: Maneuverability and Adaptability through Proprioceptive Feedback;design and Performance of a Cownose Ray-Inspired Robot for Underwater Exploration;distributed Adaptive Control for Virtual Cyborgs: A Case Study for Personalized Rehabilitation;sucker Attachment and Detachment Patterns in Octopus Vulgaris;understanding Preload Force for Grasping Objects with Different Stiffness Using Sensorized Suction Cups;development, Modeling, and Testing of a Passive Compliant Bistable Undulatory Robot;synthetic Nervous System Control of a Bioinspired Soft Grasper for Pick-and-Place Manipulation;fly H1-Cell Distance Estimation in a Monocular Virtual Reality Environment;a Dynamic Simulation of a Compliant Worm Robot Amenable to Neural Control;inchworm Locomotive Soft Robots Actuated by a Single Pneumatic Line;a Synthetic Nervous System for on and Off Motion Detection Inspired by the Drosophila melanogaster Optic Lobe;driving Hexapods through Insect Brain;weighting Elementary Movement Detectors Tuned to Different Temporal Frequencies to Estimate Image Velocity;robotic Active Tactile Sensing Inspired by Serotonergic Modulation Using Active Inference;comparison of Proximal Leg Strain in Locomotor Model Organisms Using Robotic Legs;an Insect-Inspired Soft Robot Controlled by Soft Valves;Optimization of EMG-Derived Features for Upp

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12th international conference on Information systems and Advanced Technologies, ICISAT 2022

12th International Conference on Information Systems and Adv...

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12th international conference on Information systems and Advanced Technologies, ICISAT 2022

ISBN: (纸本)9783031253430

the proceedings contain 51 papers. the special focus in this conference is on Information systems and Advanced Technologies. the topics include: Emotion Analysis of Social Media Content for Mental Health Improvement;named Entity Recognition for Algerian Arabic Dialect in Social Media;protection of Nurse-Sys Platform from Man-In the Middle Attacks;on the Effectiveness of Dimensionality Reduction Techniques on High Dimensionality Datasets;industries Application of Type-2 Fuzzy Logic;new Research Methodology to Analyze Time Series and Correlations’ Reliability;a Comparative Study of Filter Feature Selection Methods on Microarray Data;glaucoma Detection Using Optimal Batch Size for Transfer Learning and Ensemble Model Techniques;a New Collective Simulated Annealing with Adapted Objective Function for Web Service Selection;a Semantic Interoperability Approach for Heterogeneous Meteorology Big IoT Data;Delineation of Raining Cloud Using a WkNN from Multispectral Data of SEVIRI Radiometer;water Quality Monitoring systems for Sub-saharan Africa: Towards an Effectiveness Framework;insect Recognition and Classification Using Optimized Densely Connected Convolutional Neural Network;semantic Ontology for Representing Breast Cancer Terminology;zynq-SoC vs. MicroBlaze based SoC for Forest Fires Prediction: Comparison Study;extraction of Association Rules from Data Stream Using Genetic Algorithm;comparative Analysis of Diabetes Mellitus Predictive Machine Learning Classifiers;Functional, Multivariate Functional and Spatial PCA: Application to Covid-19 Data in the African Continent;distributed Algorithm for Area Monitoring in Directional Sensor Networks;an Image Encryption-based Method for Handwritten Digit Recognition;Six Roles of ICT in Alleviating Depopulation of Rural Villages through Improved Quality of Life;breast Cancer Detection Using Machine Learning.

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ICICM 2022 - proceedings of the 2022 12th international conference on Information Communication and Management

ICICM 2022 - Proceedings of the 2022 12th International Conf...

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12th international conference on Information Communication and Management, ICICM 2022

ISBN: (纸本)9781450396493

the proceedings contain 17 papers. the topics discussed include: impact of the COVID-19 pandemic on the requirement engineering process in small development projects: a case study;network intrusion detection using machine learning approach;technological model based on the Internet of things (IOT) with QR code influence to reduce 2D printing times at the Continental University;deep learning-based CAD system for COVID-19 diagnosis via spectral-temporal images;student physical violence detection using convolutional neural networks;research on developing strategy feasibility of developing country naval colleges using SWOT-CLPV methods;implementation and experience of a mixed teaching mode of preventive medicine course based on network teaching platform under the epidemic situation of COVID-19 pneumonia;and topic maps as a tool for facilitating collaborative work pedagogy in knowledge management systems.

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IoT 2022 - proceedings of the 12th international conference on the Internet of things 2022

IoT 2022 - Proceedings of the 12th International Conference ...

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12th international conference on the Internet of things, IoT 2022

ISBN: (纸本)9781450396653

the proceedings contain 35 papers. the topics discussed include: fast real-world implementation of a direction of arrival method for constrained embedded IoT devices;modeling the carbon footprint of battery-powered IoT sensor nodes for environmental-monitoring applications;towards industrial control from the edge-cloud: a structural analysis of adoption challenges according to industrial experts;enabling IoT-enhanced transportation systems using the NGSI protocol;probabilistic analysis of industrial IoT applications;jamming detection in IoT wireless networks: an edge-AI based approach;accelerating command injection vulnerability discovery in embedded firmware with static backtracking analysis;jammer localization in the internet of vehicles: scenarios, experiments, and evaluation;and future scoping of truly human-centric IoT and intelligent networks: a foresight approach.

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RL-SF: Reinforcement Learning based Scheduling Function for distributed TSCH Networks 12

RL-SF: Reinforcement Learning based Scheduling Function for ...

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12th IEEE international conference on Electronics Information and Emergency Communication, ICEIEC 2022

作者： Pratama, Yolanda Hertita Chung, Sanghwa Pusan National University Department of Information Convergence Engineering Busan Korea Republic of

ISBN: (数字)9781665407540

ISBN: (纸本)9781665407540

IEEE 802.15.4e defines the Time Slotted Channel Hopping (TSCH) mode as an industrial IoT communication technology. In the event of burst traffic patterns, more cells are required to minimize packet loss, yet excessive cell allocations might result in excessive energy usage. In this study, we present a distributed scheduling technique for TSCH networks that uses reinforcement learning algorithms to calculate the required number of cells. the result demonstrates that the proposed algorithm is capable of achieving a high packet delivery ratio while preserving a reasonable network lifetime and end-to-end packet latency. © 2022 IEEE.

关键词： Reinforcement learning

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An Interactive System for Multimedia Retrieval in Video Collection with Temporal Integration 23

An Interactive System for Multimedia Retrieval in Video Coll...

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12th international Symposium on Information and Communication Technology, SOICT 2023

作者： Pham Gia, Kiet Tran Le, Hai Binh Nguyen Huynh, Phi Long Le Tran, Song Phuong Pham Hoang, Long Pham Xuan, Tri Tran Ham, Duong Huynh Ngoc, Tin Hoang, Kiem The Saigon International University Ho Chi Minh City Viet Nam

ISBN: (纸本)9798400708916

Multimedia retrieval in computer science is the process of obtaining text, images, videos, and audio segments, all in digital form relevant to an information need from a collection of these resources. With the ever-growing amount of data, scalable and interactive retrieval systems that can efficiently work on extensive data collections while maintaining high precision are in high demand by industries and researchers. this paper presents the Pumpkin system, an interactive multimedia retrieval system first used in the AI Challenge Ho Chi Minh City 2023, an annual video event and moment retrieval competition. the system is built and set in motion to handle the retrieval task in a video collection of considerable size and complexity by three primary methods: visual-text association search, object-based search, and audio speech instances search. Additionally, the system has an integrated temporal workflow to search for conceptually related shots in a sequential motion, which removes out-of-context while leveraging suitable results as the user inputs more details to the system. Our system also puts great emphasis on user experience by cooperating with a clean and intuitive interface design with simplified user-side functionality, allowing a more efficient process of information retrieval, whether primary or complex, in a huge collection of multimedia data. © 2023 acm.

关键词： Search engines

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Research and Expectation of a New Generation of Smart Energy Meter based on IR46 Standard 12

Research and Expectation of a New Generation of Smart Energy...

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12th international conference of Information and Communication Technology, ICTech 2023

作者： Xu, Wenlin Zhang, Peng Zeng, Weijie Liu, Chao Liu, Xi Wang, Xiangyu State Grid Hunan Electric Power Limited Company Changsha China State Grid Hunan Electric Power Limited Company Power Supply Service Center Metrology Center Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China Power Supply Service Center Metrology Center State Grid Hunan Electric Power Limited Company Changsha China

ISBN: (纸本)9798350332919

With the acceleration of the construction of 'Smart Grid' and 'Advanced Metering Infrastructure (AMI)' worldwide, smart energy meter, as a key sensor and measurement point distributed on the network, should have functions such as communication, load control, online upgrade, parameter protection, legal measurement and non-metering partial isolation in addition to basic energy measurement. To this end, China newly revised JJF 1245-2019 standard fully adopts the 'Active Energy Meter' (IR46) formulated by the international Legal Metrology Organization, and stipulates the software and hardware requirements and type certification of the new generation of smart energy meters. this paper first discusses the requirements of a new generation of smart energy meters, compares the differences between IR46 and Chinese energy meter standard systems, introduces some key technologies of smart energy meters that support IR46 standards, and finally expounds the next research direction and application prospects of IR46 smart energy meters. © 2023 IEEE.

关键词： Advanced metering infrastructures

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ICCNS 2022 - 2022 12th international conference on Communication and Network Security

ICCNS 2022 - 2022 12th International Conference on Communica...

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12th international conference on Communication and Network Security, ICCNS 2022

ISBN: (纸本)9781450397520

the proceedings contain 34 papers. the topics discussed include: data poisoning attacks to session-based recommender systems;detecting IMAP credential stuffing bots using behavioral biometrics;detection scheme of impersonation attack based on Sarsa(lambda) algorithm in fog computing;leveraging zero-payload packets to detect mobile malware based on network traffic;model heterogeneous federated learning for intrusion detection based on knowledge distillation;deep reinforcement learning-based computation offloading for anti-jamming in fog computing networks;identity-based linkable blind ring signature scheme on lattice;identity-based authentication protocol for trustworthy IP address;embedded real-time system trusted protection technology for supply chain scenarios;activity attribute-based user behavior model for continuous user authentication;and accountable policy-based sanitizable signature for medical data sharing.

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Multi-Objective based Multi-Agent Decision-Making System 12

Multi-Objective Based Multi-Agent Decision-Making System

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12th IEEE international conference on Intelligent Data Acquisition and Advanced Computing systems: Technology and Applications, IDAACS 2023

作者： Melnic, Radu Ababii, Victor Sudacevschi, Viorica Sachenko, Oleg Borozan, Olesea Lendiuk, Taras Technical University of Moldova Chisinau Moldova West Ukrainian National University Ternopil Ukraine

ISBN: (纸本)9798350358056

Multi-objective decision systems for the management, monitoring and control of complex processes require the application of new methods and models of abstraction and formal description based on intelligent computing structures to ensure optimal overall decision-making. these computing structures can be built on the basis of Multi-Agent systems. In this paper it is proposed the development of a Multi-Objective based Multi-Agent Decision-Making System that ensures the process of searching for the optimal solution based on genetic algorithms and its application in the decision-making process. the Multi-Agent system features a distributed computing structure consisting of lots of heterogeneous data processing nodes. the functionality of agents is described based on mathematical models and sequence diagram, which explains the interaction between the set of Agents. the structure of the decision-making system is presented on two levels of abstraction: the Multi-Agent level of production and management, and the Information level of communication, storage and data processing. © 2023 IEEE.

关键词： Decision-Making Mathematical Models Multi-Agent System Multi-Objective Optimization Sequence Diagram Smart Agriculture

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5G-based Body Sensor Network for Real-Time Feedback in Running 12

5G-Based Body Sensor Network for Real-Time Feedback in Runni...

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proceedings of the 12th international conference on Sport Sciences Research and Technology Support, icSPORTS 2024

作者： Mayr, Sebastian Rieser, Harald Human Motion Analytics Salzburg Research Forschungsgesellschaft MbH Salzburg Austria

ISBN: (纸本)9789897587191

Immediate feedback is vital in sports and motor learning. Traditionally, coaches provide this feedback. However, recent developments in wearable sensing and feedback devices, state-of-the-art processing algorithms and sensor data integration allow for new applications and insights. While this allows for more direct feedback, it also introduces new demands on feedback systems in terms of network transmission speed, energy consumption and needed calculation power. the 5G networking standard is a promising technology to address these issues. It promises reduced energy usage, high availability, latency in the low millisecond range and high data rates up to 10 Gbps. Despite these characteristics, there has not been much research on the use of 5G in sports biofeedback systems. therefore, this work aims to assess the usability of 5G for a real-time feedback system in the sports context. We did this by developing a distributed feedback system for the assessment of running gait symmetry. the system utilizes internal smartphone IMU as sensors and employs a 5G infrastructure for data transmission to an offsite server for the calculation of running metrics and generation of the feedback signal. Pilot tests, using the feedback system, showed mean roundtrip times of 140.14ms (sd = 14.47ms) for outdoor use and 128.92ms (sd = 25.83ms) for indoor use. these results indicate that promised low latencies by the 5G standard are currently not reachable outside of controlled testing environments. Nonetheless, as these times are below average reaction times in recreational athletes (150ms) it is still promising for real-time feedback applications in running. Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Body sensor networks

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