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Editorial of CCF transactions on networking: special issue on intelligence-enabled end-edge-cloud orchestrated computing

Ju Ren, Hongbo Jiang, Xuemin Shen, John C. S. Lui, Arun K. Lyengar
2020 CCF Transactions on Networking  
End-edge-cloud orchestrated computing applications The paper, titled "Cooperative Abnormal Sound Event Detection in End-Edge-Cloud Orchestrated Systems", presents a cooperative abnormal sound event detection  ...  The end-edge-cloud orchestrated audio processing system consists of two processing phases: preprocessing (feature extraction) and post-processing (sound source localization and sound event classification  ... 
doi:10.1007/s42045-020-00048-5 fatcat:rjbme7cynvggvj52qdch3wlrdm

Improved Multimedia Object Processing for the Internet of Vehicles

Surbhi Bhatia, Razan Ibrahim Alsuwailam, Deepsubhra Guha Roy, Arwa Mashat
2022 Sensors  
The combination of edge computing and deep learning helps make intelligent edge devices that can make several conditional decisions using comparatively secured and fast machine learning algorithms.  ...  The corresponding comprehensive network combines cooperative multimedia data processing, Internet of Things (IoT) fact handling, validation, computation, precise detection, and decision making.  ...  They were also performed with a low-power configuration strategy by bio-inspired event-based processing.  ... 
doi:10.3390/s22114133 pmid:35684754 pmcid:PMC9185502 fatcat:v2656me6tnesrjyxcfmszvlhxa

Ambient Sound Recognition of Daily Events by Means of Convolutional Neural Networks and Fuzzy Temporal Restrictions

Aurora Polo-Rodriguez, Jose Manuel Vilchez Chiachio, Cristiano Paggetti, Javier Medina-Quero
2021 Applied Sciences  
An edge–fog computing approach is proposed to integrate the recognition of audio events with smart boards where the data are collected.  ...  A spectral representation of sounds was computed using convolutional network inputs to recognise ambient sounds with encouraging results.  ...  The models were implemented with Keras under Python to enable integration with Raspberry Pi in real time, using an edge-computing approach which publishes the events detected without exposing sensitive  ... 
doi:10.3390/app11156978 fatcat:iui6wuijdnhydmgajwiokerdsm

Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection

Amina El Attaoui, Salma Largo, Soufiane Kaissari, Achraf Benba, Abdelilah Jilbab, Abdennaser Bourouhou
2020 IET Wireless Sensor Systems  
In this paper, fall detection is presented while leveraging edge computing integrated on a multi-level architecture combines the Wireless Sensors Network and the Internet of Things.  ...  Health telemonitoring systems are constrained by the computational and data transmission load resulting from the large volumes of various measured signals, e.g. in the fall detection application.  ...  Then, we present the results obtained from real-time fall detection based on edge computing over the WSN.  ... 
doi:10.1049/iet-wss.2020.0091 fatcat:fpr7q6456fa2jevpchgzxy67fi

Emotion-awareness for intelligent vehicle assistants

Hans-Jörg Vögel, Raphaël Troncy, Benoit Huet, Melek Önen, Adlen Ksentini, Jörg Conradt, Asaf Adi, Alexander Zadorojniy, Jacques Terken, Jonas Beskow, Ann Morrison, Christian Süß (+11 others)
2018 Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18  
, and distributed (edge) computing delivering cognitive services.  ...  cybernetics systems/software architecture: emotion aware systems and algorithms, multimodal interaction design, cognitive modelling, decision making and recommender systems, emotion sensing as feedback for learning  ...  Combining local per-vehicle onboard learning with centralized cloud-based learning both at the user, vehicle, or fleet level will require distributed (edge) processing and analytics approaches.  ... 
doi:10.1145/3194085.3194094 fatcat:stdxabm2jjevbijg4vboixszze

Table of contents

2020 IEEE Internet of Things Journal  
Niyato 1974 Follow the Sound of Children's Heart: A Deep-Learning-Based Computer-Aided Pediatric CHDs Diagnosis System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Gidlund 2089 Blockchain of Finite-Lifetime Blocks With Applications to Edge-Based IoT . . . . . . . . .C. K. Pyoung and S. J.  ... 
doi:10.1109/jiot.2020.2977444 fatcat:zrsdjrwoi5b2bourvbpjoiibfe

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., +, JIoT Jan. 2020 598-610 Follow the Sound of Children's Heart: A Deep-Learning-Based Computer-Aided Pediatric CHDs Diagnosis System.  ...  ., +, JIoT Oct. 2020 9552-9562 Follow the Sound of Children's Heart: A Deep-Learning-Based Comput- er-Aided Pediatric CHDs Diagnosis System.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Computational intelligence for multimedia and industrial applications

Gwanggil Jeon, Ernesto Damiani, Marco Anisetti
2017 Multimedia tools and applications  
like visual based quality control, image enhancement in consumer electronics, video based recognition of identity or behaviors, audio based speech recognition for enhanced human like interaction with machines  ...  This special issue brings together researchers on different disciplines from academia and industry with a common objective: go beyond the frontiers of today multimedia applications of computational intelligence  ...  "Rule-Based Soft Computing for Edge Detection" (https://doi.org/10.1007/s11042-016-4329-7) proposes a rule based edge detection method.  ... 
doi:10.1007/s11042-017-5154-3 fatcat:b5mr3ghvijgdrol723guqp7lay

A Multimodal Distributed Intelligent Environment for a Safer Home [chapter]

Salvatore M. Anzalone, Stefano Ghidoni, Emanuele Menegatti, Enrico Pagello
2013 Advances in Intelligent Systems and Computing  
The proposed system processes both video and audio signals to detect dangerous events and trigger automatic warnings.  ...  This paper focuses on the fall detection video processing node and on the sound classification and localization audio processing node.  ...  This project was partially founded by Regione Veneto Cod. progetto: 2105/201/5/2215/2009 approved with DGR n. 2215, 21/07/2009.  ... 
doi:10.1007/978-3-642-33926-4_74 fatcat:ej6elqktbbhihbnxj4nlqkj3yu

A Survey of Multi-Agent Cross Domain Cooperative Perception

Zhongpan Zhu, Qiwei Du, Zhipeng Wang, Gang Li
2022 Electronics  
of multi-agent cross-domain cooperative perception.  ...  Based on the current domestic and overseas development status of unmanned systems for ground, sea, aviation, and aerospace application, this paper reviewed the theoretical problems and research trends  ...  based on computer vision, and then the path of the UGV to the pollution source can be planned in combination with the location of lamp poles, which can achieve collaborative fine location detection of  ... 
doi:10.3390/electronics11071091 fatcat:wwgq4r4cyvgbvflgy6etfrusxu

Jijo-2: an office robot that communicates and learns

H. Asoh, Y. Motomura, F. Asano, I. Hara, S. Hayamizu, K. Itou, T. Kurita, T. Matsui, N. Vlassis, R. Bunschoten, B. Krose
2001 IEEE Intelligent Systems  
The robot turns to the speaker, detects his face, and recognizes him. R: Kon-nichiwa, Matsui-san. (Hello, Dr. Matsui.) U1: Asoh-san wa doko? (Where is Mr. Asoh?) R: Honkan ni imasu.  ...  The Real World Computing Program supported this work.  ...  When some event such as speech input, finding a landmark, or detecting an obstacle occur, the respective modules for processing the event communicate with each other and collaboratively process the event  ... 
doi:10.1109/mis.2001.956081 fatcat:tr26efmg75fcjlfu6uzjj7ony4

Jijo-2: an office robot that communicates and learns

H. Asoh, Y. Motomura, F. Asano, I. Hara, S. Hayamizu, K. Itou, T. Kurita, T. Matsui, N. Vlassis, R. Bunschoten, B. Krose
2001 IEEE Intelligent Systems  
The robot turns to the speaker, detects his face, and recognizes him. R: Kon-nichiwa, Matsui-san. (Hello, Dr. Matsui.) U1: Asoh-san wa doko? (Where is Mr. Asoh?) R: Honkan ni imasu.  ...  The Real World Computing Program supported this work.  ...  When some event such as speech input, finding a landmark, or detecting an obstacle occur, the respective modules for processing the event communicate with each other and collaboratively process the event  ... 
doi:10.1109/5254.956081 fatcat:dbpigasc5nbgtko5q2vwmwbvf4

2020 Index IEEE Transactions on Broadcasting Vol. 66

2020 IEEE transactions on broadcasting  
., Future 5G mmWave TV Service With Fast List Decoding of Polar Codes; TBC June 2020 525-533 Hou, J., Wang, W., Zhang, Y., and Liu, X Iradier, E., Montalban, J., Fanari, L., Angueira, P., Zhang, L., Wu  ...  Zhang, W., +, TBC March 2020 66-77 Edge detection Modeling the Screen Content Image Quality via Multiscale Edge Attention Similarity.  ...  Bulkan, U., +, TBC Dec. 2020 835-846 Signal detection A Note on Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters.  ... 
doi:10.1109/tbc.2021.3055975 fatcat:4tbvfkcodrgxbput2p7rpem2na

The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study

Juan Bravo-Arrabal, Manuel Toscano-Moreno, J. J. Fernandez-Lozano, Anthony Mandow, Jose Antonio Gomez-Ruiz, Alfonso García-Cerezo
2021 Sensors  
The IoRT is connected to a feedback information system (FIS) distributed among multi-access edge computing (MEC) centers.  ...  , and nuclear sites) by enabling the timely sharing of data and computational resources between robot and human teams.  ...  The events detected by the H2WTN generate alarms to be attended by the cooperative robots, which are planned thanks to the integration of a global path planner hosted on a local edge and on a cloud edge  ... 
doi:10.3390/s21237843 pmid:34883848 fatcat:g7qphxnfj5cy7i5wimt24g2qxi

Towards Citizen Science for Smart Cities: A Framework for a Collaborative Game of Bird Call Recognition Based on Internet of Sound Practices [article]

Emmanuel Rovithis and Nikolaos Moustakas and Konstantinos Vogklis and Konstantinos Drossos and Andreas Floros
2021 arXiv   pre-print
Smart Cities aim to provide them with services that improve the quality of their life.  ...  We discuss the Playful Learning, Internet of Audio Things, and Bird Monitoring principles that shaped the design of our paradigm, and analyze its potential technical implementation.  ...  GIS based repository Since bird call detections will be accompanied by GPS based geographical coordinate and time stamp, all detection data can be presented in the form of cartographic GIS data model.  ... 
arXiv:2103.16988v1 fatcat:mojkzdowxjav7fepvdzl5iblaa
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