scholarly journals Flexible Strain Gauge Sensors with Long-term Stability and Low Power Consumption for Self-sufficient Sensor Systems

2012 ◽  
Vol 47 ◽  
pp. 782-785
Author(s):  
D. Feili ◽  
M. Marschibois ◽  
S. Saremi ◽  
H. Seidel
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Strain Gauge ◽  
Low Power Consumption ◽  
Sensor Systems ◽  
Term Stability ◽  
Long Term Stability

scholarly journals Metal–Oxide Nanowire Molecular Sensors and Their Promises

Chemosensors ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 41
Author(s):  
Hao Zeng ◽  
Guozhu Zhang ◽  
Kazuki Nagashima ◽  
Tsunaki Takahashi ◽  
Takuro Hosomi ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Power Consumption ◽  
Low Power ◽  
High Surface ◽  
Low Power Consumption ◽  
Ultra Low Power ◽  
Molecular Sensors ◽  
Term Stability ◽  
Long Term Stability

During the past two decades, one–dimensional (1D) metal–oxide nanowire (NW)-based molecular sensors have been witnessed as promising candidates to electrically detect volatile organic compounds (VOCs) due to their high surface to volume ratio, single crystallinity, and well-defined crystal orientations. Furthermore, these unique physical/chemical features allow the integrated sensor electronics to work with a long-term stability, ultra-low power consumption, and miniature device size, which promote the fast development of “trillion sensor electronics” for Internet of things (IoT) applications. This review gives a comprehensive overview of the recent studies and achievements in 1D metal–oxide nanowire synthesis, sensor device fabrication, sensing material functionalization, and sensing mechanisms. In addition, some critical issues that impede the practical application of the 1D metal–oxide nanowire-based sensor electronics, including selectivity, long-term stability, and low power consumption, will be highlighted. Finally, we give a prospective account of the remaining issues toward the laboratory-to-market transformation of the 1D nanostructure-based sensor electronics.

26.3 Design of a Low Power Consumption a-IGZO TFT-based Vcom Driver Circuit with Long-Term Reliability

2011 ◽  
Vol 42 (1) ◽  
pp. 338-341 ◽  
Author(s):  
Hoon Jeong ◽  
Mallory Mativenga ◽  
Jin Jang ◽  
Sang Gul Lee ◽  
Yong Min Ha
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Low Power Consumption ◽  
Driver Circuit ◽  
Igzo Tft

Wireless Vibration Sensing Without a Battery

2012 ◽  
Author(s):  
Haiying Huang ◽  
Yayu Hew
Keyword(s):  
Energy Harvesting ◽  
Power Consumption ◽  
Low Power ◽  
Strain Gauge ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Wireless Sensor Node ◽  
Signal Modulation ◽  
Ultra Low Power

This paper presents the implementation and characterization of a low power wireless vibration sensor that can be powered by a flash light. The wireless system consists of two components, namely the wireless sensor node and the wireless interrogation unit. The wireless sensor node includes a wireless strain gauge that consumes around 6 mW, a signal modulation circuit, and a light energy harvesting unit. To achieve ultra-low power consumption, the signal modulation circuit was implemented using a voltage-controlled oscillator (VCO) to convert the strain gauge output to an intermediate frequency (IF) signal, which is then used to alter the impedance of the sensor antenna and thus achieves amplitude modulation of the backscattered antenna signal. A generic solar panel with energy harvesting circuit is used to power the strain sensor node continuously. The wireless interrogation unit transmits the interrogation signal and receives the amplitude modulated antenna backscattering, which can be down-converted to recover the IF signal. In order to measure the strains dynamically, a Phase Lock Loop (PLL) circuit was implemented at the interrogator to track the frequency of the IF signal and provide a signal that is directly proportional to the measured strain. The system features ultra-low power consumption, complete wireless sensing, solar powering, and portability. The application of this low power wireless strain system for vibration measurement is demonstrated and characterized.

scholarly journals Emulating Artificial Synaptic Plasticity Characteristics from SiO2-Based Conductive Bridge Memories with Pt Nanoparticles

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 306
Author(s):  
Panagiotis Bousoulas ◽  
Charalampos Papakonstantinopoulos ◽  
Stavros Kitsios ◽  
Konstantinos Moustakas ◽  
Georgios Ch. Sirakoulis ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Bottom Electrode ◽  
Pt Nanoparticles ◽  
Low Power Consumption ◽  
Dense Layer ◽  
Bipolar Switching ◽  
Conductive Bridge ◽  
High Degree

The quick growth of information technology has necessitated the need for developing novel electronic devices capable of performing novel neuromorphic computations with low power consumption and a high degree of accuracy. In order to achieve this goal, it is of vital importance to devise artificial neural networks with inherent capabilities of emulating various synaptic properties that play a key role in the learning procedures. Along these lines, we report here the direct impact of a dense layer of Pt nanoparticles that plays the role of the bottom electrode, on the manifestation of the bipolar switching effect within SiO2-based conductive bridge memories. Valuable insights regarding the influence of the thermal conductivity value of the bottom electrode on the conducting filament growth mechanism are provided through the application of a numerical model. The implementation of an intermediate switching transition slope during the SET transition permits the emulation of various artificial synaptic functionalities, such as short-term plasticity, including paired-pulsed facilitation and paired-pulse depression, long-term plasticity and four different types of spike-dependent plasticity. Our approach provides valuable insights toward the development of multifunctional synaptic elements that operate with low power consumption and exhibit biological-like behavior.

Design of a low-power-consumption a-IGZO TFT-based Vcom driver circuit with long-term reliability

2011 ◽  
Vol 19 (11) ◽  
pp. 825 ◽  
Author(s):  
Hoon Jeong ◽  
Mallory Mativenga ◽  
Sang Gul Lee ◽  
Yong Min Ha ◽  
Jin Jang
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Low Power Consumption ◽  
Driver Circuit ◽  
Igzo Tft

scholarly journals Short-Term to Long-Term Plasticity Transition Behavior of Memristive Devices with Low Power Consumption via Facilitating Ionic Drift of Implanted Lithium

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2564
Author(s):  
Young Pyo Jeon ◽  
Yongbin Bang ◽  
Hak Ji Lee ◽  
Eun Jung Lee ◽  
Young Joon Yoo ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Future Generation ◽  
Information Storage ◽  
Low Power Consumption ◽  
Long Term Memory ◽  
Short Term ◽  
Memristive Device ◽  
Level Information

Recent innovations in information technology have encouraged extensive research into the development of future generation memory and computing technologies. Memristive devices based on resistance switching are not only attractive because of their multi-level information storage, but they also display fascinating neuromorphic behaviors. We investigated the basic human brain’s learning and memory algorithm for “memorizing” as a feature for memristive devices based on Li-implanted structures with low power consumption. A topographical and surface chemical functionality analysis of an Li:ITO substrate was conducted to observe its characterization. In addition, a switching mechanism of a memristive device was theoretically studied and associated with ion migrations into a polymeric insulating layer. Biological short-term and long-term memory properties were imitated with the memristive device using low power consumption.

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