The transition to renewable production and smart grids is driving a massive investment to
battery storages, and reinforcement learning (RL) has recently emerged as a potentially …

The Internet of Things (IoT) is introduced in systems with electrical machines, such as in
electric drive systems, wind energy generating systems, and small and special machines, to …

In this work, a self-powered fault diagnosis system using vibration energy harvesting was
constructed to verify the accuracy of state identification and abnormality detection for a …

Mobile cloud computing (MCC) has emerged as a significant area of interest due to its ability
of facilitating high computing power and massive storage capacity to the mobile users based …

The problem of the lifetime of connected objects, in most use cases (Industrial Internet of
Things (IIoT), disaster management, etc.) is an essential element of the proposed solutions …

Cyber-physical systems (CPS) transform how humans interact with technology by integrating
sensing, computation, networking, and control with physical processes to facilitate smart …

In the modern world, an expansive range of computing systems are being used, and in all of
these systems, energy efficiency and performance optimization are of utmost significance …

The accelerated evolution towards jointly considering the physical, cyber, and social space
is expected to dramatically increase the interest of the research and industrial community to …

본 논문에서는 LoRaEnergySim 에 최적의 실시간 스케줄링 알고리즘으로 알려진 ED-H
스케줄링 알고리즘을 연동하여 LoRaWAN 클래스-A 단말기에 슈퍼 커패시터 기반의 에너지 …

Artificial Intelligent autonomous systems are becoming increasingly ubiquitous in daily life.
Mobile devices for example provide mechanical-generated intelligent support to humans …