[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Srinivasa Babu et al., 2022 - Google Patents

Sensor-based radio frequency identification technique for the effective design process of diverse applications using WSN

Srinivasa Babu et al., 2022

Document ID
6969933400410085110
Author
Srinivasa Babu K
Jaya Sri K
Jyothi C
Publication year
Publication venue
Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks: CHSN-2020

External Links

Snippet

For ubiquitous computing, radio frequency identification (RFID) is a potential technique. RFID networking must be connected with wireless sensor networks whenever RFID tags are embedded in Wireless Sensor Network (WSNs). It begins by identifying important needs for …
Continue reading at link.springer.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/28—Network-specific arrangements or communication protocols supporting networked applications for the provision of proxy services, e.g. intermediate processing or storage in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/02—Network-specific arrangements or communication protocols supporting networked applications involving the use of web-based technology, e.g. hyper text transfer protocol [HTTP]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS

Similar Documents

Publication Publication Date Title
Ahmed et al. The role of big data analytics in Internet of Things
Alansari et al. Challenges of internet of things and big data integration
US20220279220A1 (en) Machine learning techniques for detecting surges in content consumption
Jin et al. A fast and scalable approach for IoT service selection based on a physical service model
Davies et al. The internet of things: from data to insight
Papadokostaki et al. Handling big data in the era of internet of things (IoT)
Sarkar et al. A novel approach for real-time data management in wireless sensor networks
Hazra Promising role of visual IoT: Challenges and future research directions
Shadroo et al. Survey on the application of deep learning in the Internet of Things
Park et al. Advanced algorithms and applications based on IoT for the smart devices
Samara et al. A comprehensive review of machine learning-based intrusion detection techniques for IoT networks
Boopathi et al. Optimization algorithms in security and privacy-preserving data disturbance for collaborative edge computing social IoT deep learning architectures
Govoni et al. Enabling social-and location-aware IoT applications in smart cities
Srinivasa Babu et al. Sensor-based radio frequency identification technique for the effective design process of diverse applications using WSN
Arora et al. Artificial intelligence in disaster management: A survey
Mohanta et al. Addressing security and computation challenges in IoT using machine learning
Costa et al. Fog computing in real time resource limited IoT environments
Lokhande et al. Trust computation model for iot devices using machine learning techniques
Atanasova Methods for processing of heterogeneous data in IoT based systems
Mahbub IoT ecosystem: Functioning framework, hierarchy of knowledge, and intelligence
Mohanta et al. Internet of things security using machine learning
Tsoukas et al. Elements of TinyML on Constrained Resource Hardware
Folkert et al. Ontology-based integrated monitoring of Hadoop clusters in industrial environments with OPC UA and RESTful web services
Yadav et al. Trustworthy machine learning for cloud-based internet of things (IoT)
Paul et al. A Review on Applications of Machine Learning in IoT: Challenges and Future Prospects