Large-Area Monolayer MoS2 for Flexible Low-Power RF Nanoelectronics in the GHz Regime

2015 ◽  
Vol 28 (9) ◽  
pp. 1818-1823 ◽  
Author(s):  
Hsiao-Yu Chang ◽  
Maruthi Nagavalli Yogeesh ◽  
Rudresh Ghosh ◽  
Amritesh Rai ◽  
Atresh Sanne ◽  
...  
Keyword(s):  
2021 ◽  
Vol 118 (9) ◽  
pp. 093103
Author(s):  
Xudong Zheng ◽  
Eli Gerber ◽  
Jisung Park ◽  
Don Werder ◽  
Orrin Kigner ◽  
...  

ACS Nano ◽  
2015 ◽  
Vol 9 (4) ◽  
pp. 4611-4620 ◽  
Author(s):  
Dumitru Dumcenco ◽  
Dmitry Ovchinnikov ◽  
Kolyo Marinov ◽  
Predrag Lazić ◽  
Marco Gibertini ◽  
...  
Keyword(s):  

CrystEngComm ◽  
2019 ◽  
Vol 21 (45) ◽  
pp. 6969-6977
Author(s):  
Ping Sun ◽  
Yuewei Liu ◽  
Jun Ma ◽  
Wei Li ◽  
Kailiang Zhang ◽  
...  

Large-area, uniform, and high quality continuous monolayer MoS2 was successfully grown on a SiO2/Si substrate, demonstrated using diverse analytical testing techniques.


2016 ◽  
Vol 858 ◽  
pp. 1023-1027
Author(s):  
Akin Akturk ◽  
Brendan Cusack ◽  
Neil Goldsman

We are in the process of designing and fabricating a very large area (> 4mm2) and extremely low dark current silicon carbide ultraviolet photodiode with a readout circuitry monolithically fabricated on the same die. This is a large area silicon carbide based active pixel sensor (APS), capable of measuring low power density deep ultraviolet photons as well as low energy particles. To this end, we have already fabricated several large area photodiodes with low dark current values and large ultraviolet responsivities. We here report the electrical and optical measured performance of various size photodiodes we have fabricated.


Author(s):  
Richard Sowles ◽  
Derek Suen ◽  
David Loker ◽  
John T. Roth

Wireless sensors used in plant floor environments have been studied for obstruction and multipath propagation effects on signal quality. The trend towards wireless industrial data networks motivates this study, which explores the use of IEEE 802.15.1 radios in a machine shop at varying levels of operation. Previous studies have investigated the use of a wireless sensor embedded in a rotating tool holder to monitor tool life. In order to obtain information furthering the potential use of low power radio in conjunction with machining enclosures, a Bluegiga WT12 Class 2 Bluetooth 2.1 module is placed within several CNC machining enclosures at varying table positions and heights. An exterior module receives the data from the enclosed unit, and the module’s position is also varied in 3 dimensional space. Bit Error Rate and Received Signal Strength are measured, and the effects of spatial obstruction and multipath propagation are analyzed. An Agilent 8563E spectrum analyzer equipped with an Aaronia HyperLOG 7060 EMC antenna is also used to repeat the measurements at all of the points in order to provide EMI channel characterization and a redundant source of signal power data for comparison. Large-area transmissibility testing indicates that received signal strength is not dependent upon equipment operation. The enclosure tests (perimeter, height, and proximity comparison) suggest that distance, both static and transient path obstructions, multipath propagation, and line-of-sight are factors that influence bit error rate and received signal strength. Spectrum analyzer measurements in our shop show no significant emissions in the 2.4 GHz range that cause interference. At no time during this study did the bit error rate reach 0.2% of the transmitted bits and there were no failures in transmitting text between modules. Overall, the findings indicate that reliable data transmission with low power off-the-shelf Bluetooth modules is feasible.


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3334 ◽  
Author(s):  
Maciej Nikodem ◽  
Mariusz Słabicki ◽  
Tomasz Surmacz ◽  
Paweł Mrówka ◽  
Cezary Dołęga

Typical approaches to visual vehicle tracking across large area require several cameras and complex algorithms to detect, identify and track the vehicle route. Due to memory requirements, computational complexity and hardware constrains, the video images are transmitted to a dedicated workstation equipped with powerful graphic processing units. However, this requires large volumes of data to be transmitted and may raise privacy issues. This paper presents a dedicated deep learning detection and tracking algorithms that can be run directly on the camera’s embedded system. This method significantly reduces the stream of data from the cameras, reduces the required communication bandwidth and expands the range of communication technologies to use. Consequently, it allows to use short-range radio communication to transmit vehicle-related information directly between the cameras, and implement the multi-camera tracking directly in the cameras. The proposed solution includes detection and tracking algorithms, and a dedicated low-power short-range communication for multi-target multi-camera tracking systems that can be applied in parking and intersection scenarios. System components were evaluated in various scenarios including different environmental and weather conditions.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 95855-95863
Author(s):  
Yi-Hsiang Shih ◽  
You-Ling Chen ◽  
Jui-Hsin Tan ◽  
Sheng Hsiung Chang ◽  
Wu-Yih Uen ◽  
...  

2005 ◽  
Vol 41 (7) ◽  
pp. 436 ◽  
Author(s):  
H. Hein ◽  
M. Förtsch ◽  
H. Zimmermann
Keyword(s):  

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