July 7-9, 2023 | Japan
2023 5th Blockchain and Internet of Things Conference (BIOTC 2023) aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Blockchain and Internet of Thing. BIOTC 2023 will be held in Osaka, Japan during July 7-9, 2023. Welcome scholars and researchers working in the field of Blockchain and Internet of Things from all over the world to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.
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August 2-3, 2023 | Canada
5G (5th Generation mobile networks / 5th Generation wireless systems) signifies the next key phase of mobile telecommunications standards beyond the current 4G/IMT-Advanced standards. 5G offers better speed than what the current 4G can offer. 5G should be trolled out by 2021 to light business and consumer demands. In addition to providing purely faster speeds, they expect that 5G networks also will need to meet the needs of novel use cases, such as the Internet of Things as well as broadcast services and lifeline communication in intervals of natural disaster.
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September 26-27, 2023 | Netherlands
IoT Tech Expo Europe is a two-day conference, taking place on 26-27 September 2023, consisting of top-level content and thought leadership discussions looking at the IoT ecosystem.
This is an event taking place at the RAI, Amsterdam for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.
Don’t miss the opportunity to explore this innovative technology and its impact on a range of industries including, manufacturing, transport, supply chain, government, legal sectors and financial services energy, utilities, insurance, healthcare, retail and more!
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June 12, 2023 | USA
Device-free wireless sensing has recently attracted a lot of attention thanks to its non-intrusive and sensor-free nature. Contrary to the traditional sensor-based and wearable sensing, wireless sensing does not need any sensors but leverages the signal distortions and machine learning algorithms for sensing. Moreover, wireless signals can propagate through walls which allows sensing to be performed even in non-line-of sight (NLOS) scenarios which increases the sensing coverage over camera-based systems. Different types of wireless signals have been employed for sensing including WiFi, RFID, mmWave, UWB, and acoustic signals. As wireless signals bounce off of physical objects within the environment such as static objects like walls or furniture as well as any humans in the environment, their characteristics (e.g., amplitude, phase) change uniquely. This then provides an opportunity to sense the environment and obtain contextual information (e.g., recognizing the motion) through a fine-grained analysis of signal variations. Wireless sensing has been considered in various applications including but not limited to localization, human activity and gesture recognition, gait estimation, fall detection, respiration monitoring and crowd counting.
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