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Ubiquity
Published in Vivek Kale, Digital Transformation of Enterprise Architecture, 2019
A smart device is any type of equipment, instrument, or machine that has its own computing capability. They are digital devices which are connected to other devices or networks via different wireless protocols, such as Bluetooth, NFC, WiFi, and others, which can operate to some extent interactively and autonomously. Hence, smart devices can perform intelligent operations with respect to their functionality and relevant surrounding environments. They are part of a wide range of products and need only a minimum set of physical components to be categorized as smart devices. Those components are: Power: Any source of power being provided to a device.Memory: To store operations.Processing: Adequate processing performance with regard to the operation requirement to be executed quickly and more efficiently.Communications interface: To communicate with other devices and services within a smart space. This is an important component because if a device is able to interact with other devices vice-a-versa, it must provide a means of communication to these other devices.
Blockchain for Internet of Things I
Published in Naveen Chilamkurti, T. Poongodi, Balamurugan Balusamy, Blockchain, Internet of Things, and Artificial Intelligence, 2021
A. Reyana, S. R. Ramya, T. Krishnaprasath, P. Sivaprakash
Devices connected to IoT perform remote monitoring and manage home appliances which include heating and lighting. Smart home automation allows the user to control smart devices such as automated doors, security cameras, and electrical appliances with a smartphone with the app or any other connected devices. The temperature in air conditioner can be automatically adjusted based on the weather forecasted. In a smart home, door unlocking, security surveillance, and other security options are included. The compressor functions up to the threshold level withstanding the power fluctuation in the refrigerator. Change in lifestyle has increased the efficiency in the remote access of home appliances such as refrigerators, water heaters, and microwaves. Mobile fixed in-house automation receives voice commands and responds with the connected devices. The smart home is provisioned with different IoT devices, checks the quality of service (QoS) and formulates channel optimization. The home appliances can be managed statically or dynamically based on resident behaviour, weather condition, and other factors. The static scheduling in home appliances defines the user activities and the service charges are prepared based on the received power supply and the demand of energy in electronic appliances. In case of variations in forecasted data the user reschedules the activity to meet the energy demand. This is termed as run-time scheduling. The increase in population, automation, and modern lifestyle have caused an energy crisis due to climate change, carbon emission, fossil fuels, and other factors IoT-enabled smart homes conserve energy requirements, providing convenient and comfortable living.
Information communication technologies in construction procurement
Published in Allan Ashworth, Srinath Perera, Contractual Procedures in the Construction Industry, 2018
Allan Ashworth, Srinath Perera
Commonly connected devices include smartphones, headphones, washing machines, lights and lamps, power switches, solar inverters, smart meters, wearable devices and many other devices considered as smart devices. By definition, a smart device is an electronic device generally connected to other devices or networks via different wireless protocols, such as Bluetooth, NFC, Wi-Fi, 4G and 5G, that can operate to some extent interactively and autonomously. As such, smart devices are inherently part of IoT in most instances. Businessinsider.com defines IoT as a ‘network of internet-connected objects able to collect and exchange data using embedded sensors’.
Smart grid mechanism for green energy management: A comprehensive review
Published in International Journal of Green Energy, 2023
Adila Fakhar, Ahmed M.A. Haidar, M.O. Abdullah, Narottam Das
Internet of things is a network equipped with sensors and actuators designed to transfer digitalized data through the internet. These smart devices could be any part of household appliances, buildings, equipment, cars, and smartphones. The automation system with IoT is more efficient than the conventional automation system as it can establish communication between two remotely placed devices. This characteristic makes it suitable for information management of smart grid operations particularly for data transfer and management of distribution systems. The new generation of IoT technologies and devices has proven their effectiveness in the management of data through intelligent cloud-based solutions and middleware (Xi, Yang, and Xue 2013). On the other hand, smart metering infrastructure needs to be upgraded to interact with advanced control and intelligent management operated through IoT. Hence, increasing the level of services and improving the reliability of distribution systems (Patti et al. 2016). Normally, the IoT technologies should provide a high quality of service for some applications that require quick response during the steady-state (monitoring of power generation, load side management, and system observer), or during critical circumstances (fault condition and consumersʻ awareness).
The Role of Privacy Cynicism in Consumer Habits with Voice Assistants: A Technology Acceptance Model Perspective
Published in International Journal of Human–Computer Interaction, 2022
Fulya Acikgoz, Rodrigo Perez Vega
The use of artificial intelligence (AI) in smart devices continues to increase as the technology and the tasks that AI can perform improve (Lopatovska et al., 2019; Saad et al., 2017; Yang & Lee, 2019). One of the applications of AI in consumer products is voice assistants (VAs) which allow users to interact with AI-enabled machines in a more natural way through voice commands or in a more traditional way through taps and clicks. VAs enable cognitive engagement interactions among users and machines (Davenport & Ronanki, 2018). These interactions with VAs increasingly resemble human-to-human exchanges thanks to technology (e.g., natural language processing (NLP)) that facilitates both voice (e.g., Alexa, Google Assistant) or handheld interactions (e.g., smartphones and tablets). As a result of those interactions, VAs can perform different useful tasks, including setting up alarms, calling someone, reminding the user about certain activities, or even searching for information and making purchases on the user’s behalf.
Fog computing job scheduling optimization based on bees swarm
Published in Enterprise Information Systems, 2018
Salim Bitam, Sherali Zeadally, Abdelhamid Mellouk
Recently, academia and industry have been developing efficient architectures to ensure the ubiquitous connectivity of smart devices. These smart devices are empowering mobile users by providing them an access to a range of high performance and cost-effective services in different types of environments including smart homes, smart cities, smart metering connected vehicles, large-scale wireless sensor networks, etc. In parallel, the wide deployment of these smart devices along with efficient communication and processing technologies has led to a new paradigm called the Internet of Things (IoT). However, several aspects such as limited computing, processing, and networking capabilities of IoT devices make them unsuitable for executing complex, processor or memory intensive applications. To address these constraints, many IoT solutions have been leveraging cloud computing technologies (Díaz, Martín, and Rubio 2016). Cloud computing dynamically provides resources to IoT applications by using scalable and virtualized resources from a pool of efficient computing, storage, and communication devices located in distributed data centers sharing by several end users.