A cost-effective and energy-efficient all-optical access metro-ring integrated network architecture

2018 ◽  
Author(s):  
Dibbendu Roy ◽  
Sourav Dutta ◽  
Brando Kumam ◽  
Goutam Das
Keyword(s):  
Energy Efficient ◽  
Network Architecture ◽  
Cost Effective ◽  
Integrated Network ◽  
Optical Access ◽  
All Optical

scholarly journals Application-Centric, Energy-Efficient Network Architecture ACTION, Based on Virtual Optical Slice Core and Deterministic Optical Access Network

2015 ◽  
Vol 19 (4) ◽  
pp. 340-345 ◽  
Author(s):  
Kunitaka Ashizawa ◽  
Satoru Okamoto ◽  
Naoaki Yamanaka ◽  
Eiji Oki ◽  
Andrea Fumagalli ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Network Architecture ◽  
Access Network ◽  
Optical Access ◽  
Optical Access Network

OpticV: An energy-efficient datacenter network architecture by MEMS-based all-optical bypassing

2016 ◽  
Author(s):  
Dawei Zang ◽  
Mingyu Chen ◽  
Ninghui Sun ◽  
Roberto Proietti ◽  
S. J. B. Yoo ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Network Architecture ◽  
All Optical ◽  
Datacenter Network

COST-EFFECTIVE TECHNOLOGIES TO CONTROL INDOOR AIR QUALITY AND COMFORT IN ENERGY EFFICIENT BUILDING RETROFITTING

2015 ◽  
Vol 14 (7) ◽  
pp. 1487-1494 ◽  
Author(s):  
Marco Arnesano ◽  
Gian Marco Revel ◽  
Filippo Pietroni ◽  
Jurgen Frick ◽  
Manuela Reichert ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Energy Efficient ◽  
Cost Effective ◽  
Energy Efficient Building

Preparation of a cost-effective, scalable and energy efficient all-copper redox flow battery

2015 ◽  
Vol 292 ◽  
pp. 87-94 ◽  
Author(s):  
David Lloyd ◽  
Eva Magdalena ◽  
Laura Sanz ◽  
Lasse Murtomäki ◽  
Kyösti Kontturi
Keyword(s):  
Energy Efficient ◽  
Cost Effective ◽  
Redox Flow Battery ◽  
Flow Battery

scholarly journals Dual-shot dynamics and ultimate frequency of all-optical magnetic recording on GdFeCo

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Sicong Wang ◽  
Chen Wei ◽  
Yuanhua Feng ◽  
Hongkun Cao ◽  
Wenzhe Li ◽  
...  
Keyword(s):  
Magnetization Reversal ◽  
Energy Efficient ◽  
High Speed ◽  
Data Transfer ◽  
Laser Pulses ◽  
Time Resolved ◽  
All Optical ◽  
Fs Laser ◽  
High Speed Data ◽  
Natural Way

AbstractAlthough photonics presents the fastest and most energy-efficient method of data transfer, magnetism still offers the cheapest and most natural way to store data. The ultrafast and energy-efficient optical control of magnetism is presently a missing technological link that prevents us from reaching the next evolution in information processing. The discovery of all-optical magnetization reversal in GdFeCo with the help of 100 fs laser pulses has further aroused intense interest in this compelling problem. Although the applicability of this approach to high-speed data processing depends vitally on the maximum repetition rate of the switching, the latter remains virtually unknown. Here we experimentally unveil the ultimate frequency of repetitive all-optical magnetization reversal through time-resolved studies of the dual-shot magnetization dynamics in Gd27Fe63.87Co9.13. Varying the intensities of the shots and the shot-to-shot separation, we reveal the conditions for ultrafast writing and the fastest possible restoration of magnetic bits. It is shown that although magnetic writing launched by the first shot is completed after 100 ps, a reliable rewriting of the bit by the second shot requires separating the shots by at least 300 ps. Using two shots partially overlapping in space and minimally separated by 300 ps, we demonstrate an approach for GHz magnetic writing that can be scaled down to sizes below the diffraction limit.

scholarly journals Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

2021 ◽  
Vol 4 (1) ◽  
pp. 3
Author(s):  
Parag Narkhede ◽  
Rahee Walambe ◽  
Shruti Mandaokar ◽  
Pulkit Chandel ◽  
Ketan Kotecha ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Network Architecture ◽  
Cost Effective ◽  
Sensor Data ◽  
Dense Layer ◽  
Gaseous Emissions ◽  
Multiple Sensors ◽  
Single Output ◽  
Novel Approach ◽  
Single Sensor

With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One such area of concern is the rising number of accidents happening due to gas leaks at coal mines, chemical industries, home appliances etc. In this paper we propose a novel approach to detect and identify the gaseous emissions using the multimodal AI fusion techniques. Most of the gases and their fumes are colorless, odorless, and tasteless, thereby challenging our normal human senses. Sensing based on a single sensor may not be accurate, and sensor fusion is essential for robust and reliable detection in several real-world applications. We manually collected 6400 gas samples (1600 samples per class for four classes) using two specific sensors: the 7-semiconductor gas sensors array, and a thermal camera. The early fusion method of multimodal AI, is applied The network architecture consists of a feature extraction module for individual modality, which is then fused using a merged layer followed by a dense layer, which provides a single output for identifying the gas. We obtained the testing accuracy of 96% (for fused model) as opposed to individual model accuracies of 82% (based on Gas Sensor data using LSTM) and 93% (based on thermal images data using CNN model). Results demonstrate that the fusion of multiple sensors and modalities outperforms the outcome of a single sensor.

Hybrid FSO/fiber optic link based reliable & energy efficient WDM optical network architecture

2021 ◽  
Vol 61 ◽  
pp. 102422
Author(s):  
Amit Kumar Garg ◽  
Vijay Janyani ◽  
Bostjan Batagelj ◽  
N.H. Zainol Abidin ◽  
M.H. Abu Bakar
Keyword(s):  
Energy Efficient ◽  
Network Architecture ◽  
Fiber Optic ◽  
Optical Network
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