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Advances in Computational Collective Intelligence ; 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings
Constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November – December 2020. Due to the the COVID-19 pandemic the conference was held online. The 68 papers were thoroughly reviewed and selected from 314 submissions. The papers are organized according to the following topical sections: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision support and control systems; intelligent management information systems; innovations in intelligent systems; intelligent modeling and simulation approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing.
Access Control Models and Architectures For IoT and Cyber Physical Systems
Presents cybersecurity aspects of ubiquitous and growing IoT and Cyber Physical Systems. It also introduces a range of conceptual, theoretical, and foundational access control solutions. This was developed by the authors to provide an overall broader perspective and grounded approach to solve access control problems in IoT and CPS.
A journey of embedded and cyber-physical systems : Essays dedicated to Peter Marwedel on the occasion of his 70th birthday
This book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop “Embedded Systems” held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday.
(IOT) Based street light, energy saving control system
Energy efficiency simply means using less energy to perform the same task. That is, to eliminate energy waste. Reducing energy use limits the number of carbon emissions in the environment, in turn, conserving energy produces a higher quality of life, helping create a healthier planet, or at least helping sustain the resources we already have; and if not now, then when? Hence, the main purpose of our project was to design and implement an energy saving street lights’ system, remotely controlling the lights so they consume the least amounts of energy possible using the modern technology; internet of things.
