WavoID: Robust and secure multi-modal user identification via mmWave-voice mechanism

T Liu, F Lin, C Wang, C Xu, X Zhang, Z Li… - Proceedings of the 36th …, 2023‏ - dl.acm.org
With the increasing deployment of voice-controlled devices in homes and enterprises, there
is an urgent demand for voice identification to prevent unauthorized access to sensitive …

Deep learning beehive monitoring system for early detection of the varroa mite

G Voudiotis, A Moraiti, S Kontogiannis - Signals, 2022‏ - mdpi.com
One of the most critical causes of colony collapse disorder in beekee** is caused by the
Varroa mite. This paper presents an embedded camera module supported by a deep …

Proposed smart monitoring system for the detection of bee swarming

G Voudiotis, S Kontogiannis, C Pikridas - Inventions, 2021‏ - mdpi.com
This paper presents a bee-condition-monitoring system incorporated with a deep-learning
process to detect bee swarming. This system includes easy-to-use image acquisition and …

A survey of big data machine learning applications optimization in cloud data centers and networks

SH Mohamed, TEH El-Gorashi… - arxiv preprint arxiv …, 2019‏ - arxiv.org
This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

A sustainable approach between satellite and traditional broadband transmission technologies based on green IT

MM Mukto, MM Al Mahmud, MA Ahmed… - … on Intelligent Computing …, 2022‏ - Springer
Although satellite internet has low performance in the case of data transmission compared to
traditional internet services such as broadband internet networks and cellular networks, it …

Computation offloading for ground robotic systems communicating over WiFi–an empirical exploration on performance and energy trade-offs

M Ðorđević, M Albonico, GA Lewis, I Malavolta… - Empirical Software …, 2023‏ - Springer
Context Robotic systems are known to perform computation-intensive tasks with limited
computational resources and battery life. Such systems might benefit from offloading heavy …

Flow-based management for energy efficient campus networks

A Amokrane, R Langar, R Boutaba… - IEEE Transactions on …, 2015‏ - ieeexplore.ieee.org
Recent studies have shown that the energy consumption of wireless access networks is a
threat to the sustainability of mobile cloud services. Consequently, energy efficient solutions …

A context-aware green information-centric networking model for future wireless communications

QN Nguyen, M Arifuzzaman, K Yu, T Sato - IEEE Access, 2018‏ - ieeexplore.ieee.org
This research proposes a novel wireless information-centric networking (ICN) architecture,
namely, Context-Aware Green ICN Model (CAGIM), which can adapt the power consumption …

Autonomous operation control of IoT blockchain networks

JH Kim, S Lee, S Hong - Electronics, 2021‏ - mdpi.com
Internet of Things (IoT) networks are typically composed of many sensors and actuators. The
operation controls for robots in smart factories or drones produce a massive volume of data …

Energino: A hardware and software solution for energy consumption monitoring

K Gomez, R Riggio, T Rasheed… - … on Modeling and …, 2012‏ - ieeexplore.ieee.org
Accurate measurement of energy consumption of practical wireless deployments is vital to
the research community to develop pragmatic simulators and analytical models for the …