With massive penetrations of active grid-edge technologies, distributed computing and optimization paradigm has gained significant attention to solve distribution-level optimal power flow (OPF) problems. However, the ...
详细信息
Patient Monitors (PM) provide momentarily display of the multiple physiological signals of patients interpreted by medical professionals for diagnostic purposes. Clinical Research and academic have brought new techniq...
详细信息
The integration of different learning paradigms has long been a focus of machine learning research, aimed at overcoming the inherent limitations of individual methods. Fuzzy rule-based models excel in interpretability...
详细信息
Over the last couple of decades, Human Body Communication (HBC) has emerged as a promising alternative to wireless communication for energy-efficient data transfer using miniaturized wearable devices, and its channel ...
详细信息
ISBN:
(数字)9798350375046
ISBN:
(纸本)9798350375053
Over the last couple of decades, Human Body Communication (HBC) has emerged as a promising alternative to wireless communication for energy-efficient data transfer using miniaturized wearable devices, and its channel characterization in the Electro-Quasistatics (EQS) regime has been widely explored. Moreover, three regions in the HBC channel characteristic, namely EQS, Body Resonance (BR), and Device Resonance (DR), over a broad frequency range from 100 kHz to 1 GHz, have been conceptualized. The BR region, with high channel gain (CG) and bandwidth, can potentially inspire the design of more power-efficient HBC systems than the state-of-the-art. In this paper, the channel measurements focusing on the body resonance regime (30 MHz to 250 MHz measurement frequency range) and variability caused by the receiver (Rx) position change are studied through measurements with wearable devices. Results illustrate that the human body improves the CG by ~v45 dB compared with transmission through the air. The placement of the receiver near the shoulder causes severe attenuations in CG, and higher frequencies cause larger CG undulation. Moreover, with T-posture, the body resonance peak appears between 100 and 150 MHz, which helps to select an optimum frequency for the HBC system design, supporting high data rates and power efficiencies.
A new color filter array (CFA) uses nanofabricated metasurfaces to map four focusing filters to nine image pixels. This approach potentially offers higher stability, single-step fabrication, improved sensitivity, and ...
详细信息
The ubiquitous usage of communication networks in modern sensing and control applications has kindled new interests on the timing coordination between sensors and controllers, i.e., how to use the 'waiting time...
详细信息
We demonstrated a pulsed, erbium-doped mode-locked fiber laser for quantum optics application. The center wavelength, 3-dB bandwidth, pulse duration, and repetition rate of the laser was 1554 nm, 5.0 nm, 701 fs, and 1...
详细信息
With the rise of smart lighting, there is more flexibility than ever. Currently, buildings around the world are being equipped with occupancy sensors and HVAC controls to save energy and reduce costs. Recent discoveri...
详细信息
network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning systems, popular due to their superi...
详细信息
ISBN:
(数字)9798350343199
ISBN:
(纸本)9798350343205
network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning systems, popular due to their superior performance compared to traditional IDS, depend on availability of high quality training data for diverse intrusion classes. A way to overcome this limitation is through transferable learning, where training for one intrusion class can lead to detection of unseen intrusion classes after deployment. In this paper, we provide a detailed study on the transferability of intrusion detection. We investigate practical federated learning configurations to enhance the transferability of intrusion detection. We propose two techniques to significantly improve the transferability of a federated intrusion detection system. The code for this work can be found at https://***/ghosh64/transferability.
暂无评论