Ambient Assisted Living (AAL) is starting to become the norm as more and more smart devices and sensors are installed in people's homes. This is an important aspect in improving the quality of life, especially for...
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The proceedings contain 163 papers. The topics discussed include: analysis of technologies used in automatic medicine dispensing systems;effective usage of cognitive computing for designing smart sensing systems and n...
ISBN:
(纸本)9781665483162
The proceedings contain 163 papers. The topics discussed include: analysis of technologies used in automatic medicine dispensing systems;effective usage of cognitive computing for designing smart sensing systems and networks in transportation;using behavior of social network: Bayesian consideration;emotion recognition from Mizo speech: a signal processing approach;Note-ing hill: a note-making application;detection of different types of blood cells: a comparative analysis;realization of alumina based pressure window at microwave frequencies;a deep-learning based approach to resource allocation in noma based cognitive radio network with heterogeneous IoT users;and design of suboptimal controller for improved dynamic response in dc microgrid linked to multiple constant power loads.
The Internet of Things (IoT), which connects various systems and devices to create more innovative environments, has completely changed how we interact with technology. sensors are essential to the success of IoT syst...
The Internet of Things (IoT), which connects various systems and devices to create more innovative environments, has completely changed how we interact with technology. sensors are essential to the success of IoT systems because they are vital in gathering and analyzing real-time data from the physical environment. This paper comprehensively analyses sensor classifications and their applications in IoT systems. It explores the different types of sensors commonly used in IoT, their functionality, and their suitability for various IoT-enabled intelligent applications. This paper also provides valuable insights for IoT designers and researchers in selecting appropriate sensors and developing more efficient and reliable intelligent systems for the future.
Edge computing attempts to deliver low-latency services by offloading data storage and processing from remote data centers to distributed edge servers near end users, whereas network protocols, designed for centralize...
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This study introduces a design-thinking-driven approach aimed at enhancing the accuracy and robustness of Human Activity Recognition (HAR) using sensor data from Internet of Things (IoT) devices. The proposed algorith...
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In recent years, Human Activity Recognition (HAR) is a method used to classify human physical activities in a given period of timestamp based on accelerometer and gyroscope sensors collected data. It plays vital role ...
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In Wireless Mobile Ad Hoc Networks (MANETs), the nodes consist of a wireless transmitter and receiver for communication. The nodes can move around easily within the range of the network. These nodes transfer the infor...
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In wireless sensor networks (WSNs), the finite battery capacity of the sensor nodes restricts the lifetime of the network. With the wireless power transfer (WPT) technology, the mobile chargers can transmit energy to ...
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Adaptive software systems can assist in reducing food waste and improving food safety by enabling a real-time quality assessment. Such systems include sensors to monitor the food's condition and machine learning-b...
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ISBN:
(数字)9798350389760
ISBN:
(纸本)9798350389777
Adaptive software systems can assist in reducing food waste and improving food safety by enabling a real-time quality assessment. Such systems include sensors to monitor the food's condition and machine learning-based data analysis to predict the food's quality and shelf life. In particular, monitoring is challenging for several reasons, e.g., the complexity of the food supply chain and dynamically changing environments. Therefore, this work describes and discusses a self-adaptive monitoring system that locates food commodities and adjusts the monitoring activity accordingly to changes in the environment.
Agent-based model predictive control (AMPC) has recently been proposed for vehicle systems with various controllers, such as differential braking and torque vectoring, where controllers are regarded as distributed age...
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