scholarly journals IoTutor: How Cognitive Computing Can Be Applied to Internet of Things Education

Author(s):  
Suejb Memeti ◽  
Sabri Pllana ◽  
Mexhid Ferati ◽  
Arianit Kurti ◽  
Ilir Jusufi

2020 ◽  
Vol 76 (2) ◽  
pp. 1082-1085
Author(s):  
Gustavo Ramirez-Gonzalez ◽  
Enas Adbulhay


Author(s):  
Zakaria Maamar ◽  
Thar Baker ◽  
Noura Faci ◽  
Emir Ugljanin ◽  
Yacine Atif ◽  
...  


2019 ◽  
Vol 2 (3) ◽  
pp. 30-37
Author(s):  
Eman K. Jassim ◽  
Emad H. AL-Hemiray

Cognitive Internet of Things (CIoT) is the next leap towards enhancing the accuracy and effectiveness of Internet of Things (IoT) technology used in combination with cognitive computing that has a significant role in healthcare and diseases diagnosis. The work in this paper proposes a system to diagnose the sensitivity toward sound and light by developing a mechanism based on facial emotions recognition system that integrate with IoT protocols and cloud computing. The proposed system was achieved by establishing a cognitive IoT environment composed of hardware and software components that practically implemented in a laboratory to identify the behavior of people suffering from sensitivity toward sound and light. This behavior was observed by monitoring human face emotions through a live video capturing using camera and image processing using facial emotion recognition software. Emotions values obtained was examined and collected in a cloud using (MQTT) protocol. These emotions were classified as normal and abnormal. Normal state give the impression that the surrounding environment is appropriate for people senses and they do not suffer from any discomfort, therefore the system works on a mechanism to increase the intensities of sound or light in this environment and vice versa.



2021 ◽  
Author(s):  
E. Laxmi Lydia ◽  
C. S. S. Anupama ◽  
A. Beno ◽  
Mohamed Elhoseny ◽  
Mohammad Dahman Alshehri ◽  
...  


Author(s):  
Ravdeep Kour

The convergence of information technology (IT) and operational technology (OT) and the associated paradigm shift toward fourth industrial revolution (aka Industry 4.0) in companies has brought tremendous changes in technology vision with innovative technologies such as robotics, big data, cloud computing, online monitoring, internet of things (IoT), cyber-physical systems (CPS), cognitive computing, and artificial intelligence (AI). However, this transition towards the fourth industrial revolution has many benefits in productivity, efficiency, revenues, customer experience, and profitability, but also imposes many challenges. One of the challenges is to manage and secure large amount of data generated from internet of things (IoT) devices that provide many entry points for hackers in the form of a threat to exploit new and existing vulnerabilities within the network. This chapter investigates various cybersecurity issues and challenges in Industry 4.0 with more focus on three industrial case studies.



Author(s):  
Zakaria Maamar ◽  
Thar Baker ◽  
Noura Faci ◽  
Emir Ugljanin ◽  
Yacine Atif ◽  
...  


Author(s):  
Amlan Das*

We are amidst a noteworthy change with respect to the manner in which we make items, because of the digitization of assembling. This change is convincing to the point that it is being called Industry 4.0 to speak to the fourth insurgency that has happened in assembling. Industry 4.0 is flagging an adjustment in the conventional assembling scene. Otherwise called the Fourth Industrial Revolution, Industry 4.0 envelops three mechanical patterns driving this change: network, insight and adaptable robotization. Industry 4.0 portrays the developing pattern towards computerization and information trade in innovation and cycles inside the assembling business, including: The Internet of Things (IoT), The Industrial Internet of Things (IIoT), Cyber-physical Systems (CPS), Smart Manufacturing, Smart Factories, Cloud Computing, Additive Manufacturing, Big Data, Robotics, Cognitive Computing, Artificial Intelligence and Block chain and so forth. This mechanization makes an assembling framework whereby the machines in manufacturing plants are increased with remote network and sensors to screen and picture a whole creation cycle and settle on independent choices. In this paper we are worry about how aptitude and ability of human asset can be grown with the goal that we can conquer this pandemic circumstance effectively. Delicate abilities for taking care of these forthcoming new innovation inserted framework must be taken consideration and carefully instilled by human asset with the goal that simple smooth of efficiency just as hole crossing over of flexibly and request can be conceivable. Skill development should be considered as prioritizing factor for this.



2018 ◽  
Vol 7 (2.24) ◽  
pp. 109 ◽  
Author(s):  
Bragadeesh S A ◽  
A Umamakeswari

The proliferation of Internet of Things (IoT) has brought about a myriad of applications to life which range from smart homes, smart energy, smart buildings, smart cities to almost smart everything. This has been made possible by fully exploiting the services of cloud infrastructure, communication technologies, improved sensing devices and advancements in embedded devices which helps in incorporating intelligence even on tiniest of chips. Blockchain is a decentralised distributed approach that can facilitate management, control and also provide security. The application of blockchain is not restricted to cryptocurrency and security. It is perceived that Blockchain in Convergence with Artificial Intelligence, Cognitive Computing and Mobile Edge Computing can provide numerous prospects for framing solutions for IoT. Any application or system which deploys a IoT network can make use of Blockchain to achieve simplicity, transparency, security and cost efficiency. This paper tries to identify some key areas in which Blockchain can be used to exploit the IoT infrastructure and overcome the challenges faced. Few possible application domains in which blockchain can revolutionize the outcomes have been highlighted. A real-time case study in which Blockchain has been used to provide valuable benefits is discussed.  



2020 ◽  
Vol 14 (9-10) ◽  
pp. 1233-1237
Author(s):  
Arun Kumar Sangaiah ◽  
Ankit Chaudhary ◽  
Chun-Wei Tsai ◽  
Jin Wang ◽  
Francesco Mercaldo


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