RF Sensing Based Target Detector for Smart Sensing Within Internet of Things in Harsh Sensing Environments

Bolisetti, Siva Karteek; Patwary, Mohammad; Soliman, Abdel-Hamid; Abdel-Maguid, Mohamed

doi:10.1109/access.2017.2728372

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…[1] Detector Technology, especially photodetector technology, has become the development bottleneck of IoT. [10,11] So far, photodetectors used in the IoT have been studied a lot. The photodetectors have been explored from acquiring high quantum efficiency, low noise, high gain, and sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Near‐Infrared to Visible Light Converter by Integrating Graphene Transistor into Perovskite Quantum Dot Light Emitting Diodes

Zhao

Jiang

et al. 2022

Adv Materials Technologies

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A light converter system with high light sensitivity that could sense the near‐infrared (NIR) signal is one of the prerequisites for the whole Internet of Things (IoT) field. Here, a NIR to visible light converter (NVLC) which could emit visible light according to external NIR is reported. The NVLC is an integration of an inverted perovskite quantum dot light emitting diodes and a hybrid lead sulfide quantum dots/graphene transistor. The latter acts as a photodetector to convert NIR signals into electrical signals, and the former emits visible light with an intensity controlled by the electrical signals. The luminous intensity of the device, which emits green light with a peak of 520 nm, is positively correlated with the intensity of the NIR. Further, the micron‐scale NVLCs are integrated into a matrix device that could sense NIR image and display it into visible light image. The NVLC with sensing, converting NIR to visible light is believed to have various promising applications in the IoT field.

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Section: Introductionmentioning

confidence: 99%

Near‐Infrared to Visible Light Converter by Integrating Graphene Transistor into Perovskite Quantum Dot Light Emitting Diodes

Zhao

Jiang

et al. 2022

Adv Materials Technologies

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“…based on a complete literature review and the dialogue of the achievements of the researchers, the advancement of IoT in healthcare systems had been tested from the perspectives of allowing technologies and methodologies, IoT-based totally clever devices and systems, and various applications of IoT in the healthcare industries. subsequently, the challenges and prospects of the development of IoT based healthcare systems are mentioned in element [5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Smart Walking Stick for the Visually Challenged

Ahsan¹,

Drolia²,

Kumar³

2018

IJEECS

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<span>Internet of things mixed with Radio Frequency identification generation permit a whole new context for whole new devices that are capable of combining their bodily and virtual existences. Radio Frequency identification, placing an identification label into every object, allows a clever device to get information, both actual-time or digital-connected statistics, without any physical touch. Information retrieved from such an object, turns it right into a capacity smart object, clearly able to car pick out itself and, if protection problems are certainly handled, maximum in all likelihood capable to connect to the worldwide net. This way, one can get a ubiquitous framework to get admission to, display and manipulate any of these smart items over a web of linked things. RFID tags in scientific context enable a fast and specific identification of each clever entity, permitting a ubiquitous and brief get admission to personal fitness data over an internet of factors [1-2]. People have been struggling with sicknesses weird. Visually challenged human beings are blind people who are very common and difficult to cope with of their way. The principle aim of this project is to aid the visually challenged human beings with a better navigation device. This clever strolling stick is greater state-of-the-art device with many embedded features.</span>

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An Approach to Resource and QoS-Aware Services Optimal Composition in the Big Service and Internet of Things

Min

Liu

et al. 2018

IEEE Access

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RF Sensing Based Target Detector for Smart Sensing Within Internet of Things in Harsh Sensing Environments

Cited by 4 publications

References 36 publications

Near‐Infrared to Visible Light Converter by Integrating Graphene Transistor into Perovskite Quantum Dot Light Emitting Diodes

Near‐Infrared to Visible Light Converter by Integrating Graphene Transistor into Perovskite Quantum Dot Light Emitting Diodes

Smart Walking Stick for the Visually Challenged

An Approach to Resource and QoS-Aware Services Optimal Composition in the Big Service and Internet of Things

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