A 5G Wireless Event-Driven Sensor Chip for Online Power-Line Disturbances Detecting Network in 0.25 <i>μ</i>m GaAs Process

Ma, Shunli; Wu, Tianxiang; Zhang, Jincheng; Ren, Junyan

doi:10.1109/tie.2020.2988225

Cited by 11 publications

(5 citation statements)

References 21 publications

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“…Literature [9] based on big data cloud computing technology under the analysis of investment means, investment mode, and investment evidence relationship, argues that investment risk increases with the increase of insecurity factors existing in the network environment because big data cloud computers improve investment efficiency mainly with the help of the network environment. Ma et al [10] argue that the big data investment environment has changed, the value of company data has decreased, useless and duplicate data is increasing in the context of big data, and concludes that the investment risk under big data investment is mainly divided into two levels, the first level is the risk at the system level, such as the risk of native defects, and the second level is composed of the risk caused by inappropriate actions of CPAs, such as work errors. The literature [11] found that credit is very important for e-commerce and pointed out that if in ecommerce transactions, both parties cannot understand each other's credit situation, it will bring certain risks to the transactions, so they constructed the basic framework of the e-commerce credit system, emphasized the importance of improving the relevant policy system, and proposed that credit intermediaries and third-party constraints can be included in the transaction process.…”

Section: Related Workmentioning

confidence: 99%

5G Smart Sensor Network-Based e-Commerce Investment Risk Management System for SMEs

Tang

Yong-qing

2022

Journal of Sensors

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The rapid development of Internet technology in the new era has led to the prosperous development of the e-commerce industry, and more and more traditional retail enterprises are transforming into e-commerce enterprises in line with the development of the times to survive. Based on the relevant financial risk management theories, this paper designs an e-commerce investment risk management system for small and medium-sized enterprises based on the 5G intelligent sensor network, identify the financial risks arising from the e-commerce model, and takes appropriate countermeasures to manage the identified risks. For the optimal coverage problem of homogeneous terminals in the subnetwork of a smart sensing network, this paper introduces the concept of area coverage contribution, transforms the problem of selecting the optimal coverage subset in a large area into the problem of selecting the substrate particles, and organically combines the particle swarm algorithm in the bionic algorithm to consider the network survival period, area sensing coverage, and iteration cost for the hierarchical distributed large-scale IoT architecture. A minimum coverage subset dormancy scheduling algorithm based on homogeneous terminals is proposed. The simulation results are compared with the greedy algorithm and the multioptimized target task assignment algorithm, and it is demonstrated that this algorithm can consider multiple optimization objectives such as energy balance, scheduling cycle, timeout rate, network survival cycle, and system reliability and perform well in the case of large-scale deployment. Finally, an appropriate financial risk evaluation model is constructed to objectively evaluate the identified financial risks, and targeted financial risk control measures and suggestions are proposed based on four aspects: financing, investment, operation, and others.

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Section: Related Workmentioning

confidence: 99%

5G Smart Sensor Network-Based e-Commerce Investment Risk Management System for SMEs

Tang

Yong-qing

2022

Journal of Sensors

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“…In Ma et al, 18 authors propose a 5G wireless event-driven sensor chip to detect, perform comparison and provide output signal in case of power line disturbance in a network. Considering different models for transformers, transistors (including D-mode and E-mode pseudomorphic high electron mobility transistor (PHEMT)), and performing layout optimization, the functionality is based on the principle of correlating the power line voltage disturbance levels to different frequency outputs.…”

Section: Related Workmentioning

confidence: 99%

Selecting multiple communication technologies in IoT platforms

Drăgulinescu

Marcu²,

Vochin³

2023

Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI

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The Perception layer in Internet of Things (IoT) architectures is responsible for connecting sensor nodes and data acquisition units such that sensing devices capture relevant data from the corresponding environment. Most IoT platforms are designed to transmit data at fixed time intervals, which is a disadvantage in the modern world dominated by rapid changes in the evolution of events. This paper addresses improvements performed on an IoT platform dedicated to critical applications (e.g., fire, air pollution). This novel approach assumes the use of two equations empirically determined to compute the time interval between successive transmissions depending on the detected event. A new method for communication technology selection (LoRaWAN, Wi-Fi or cellular) is implemented and the time interval between two successive transmissions is adjusted according to the occurring event. Comparisons were highlighted for each analyzed case. The proposed method proved to be suitable for critical scenarios or scenarios that can generate false-positive alarms, due to abnormal variations of parameters.

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“…The relevant parameters of the transistor with the GaAs pHEMT process have been obtained from previous design and simulation and can be used as a reference for circuit design. 21…”

Section: Active Transistor Modelingmentioning

confidence: 99%

“…There are eight intrinsic parameters:

C_{gs}

C_{gd}

C_{ds}

are intrinsic capacitance;

R_{i}

R_{gd}

are intrinsic resistance;

G_{ds}

is intrinsic conductance; intrinsic current source

I_{ds} = V_{i} G_{m} e^{jωτ}

is determined by parameters

G_{m}

and

τ

. The relevant parameters of the transistor with the GaAs pHEMT process have been obtained from previous design and simulation and can be used as a reference for circuit design 21 …”

Section: Passive and Active Devices Modelingmentioning

confidence: 99%

A 10‐MHz to 50‐GHz low‐jitter multiphase clock generator for high‐speed oscilloscope in 0.15‐μm GaAs technology

Chen

et al. 2021

Circuit Theory & Apps

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The data acquisition system is widely used in electronic measuring instruments, for example, the oscilloscope. The development direction of the oscilloscope reflects the research status and development trend of the data acquisition system. Currently, the index of oscilloscopes is progressing toward a high sampling rate, and the performance of the analog-to-digital converter (ADC) has become the main bottleneck to improve the sampling rate of the acquisition system. The alternate sampling technology entails multichannel low sampling rate ADCs to achieve high sampling rate data acquisition through parallel sampling and realize data reconstruction through software.The sampling clock is the most important and difficult part of the system.For ADCs with the 100-GS/s sampling rate and 10-bit resolution, the jitter of the sampling clock needs to be in sub-100 fs along with multiple phases.Based on the principle of injection locking, a 150-GS/s sampling clock is proposed in this paper, which is implemented in a 0.15-μm GaAs process, and the 50-GHz locking range is achieved. The measurement results show that the sampling frequency is 150 GS/s, the root mean square (RMS) jitter is 63 fs with the integrated range from 1 kHz to 10 MHz, and the phase noise can meet the sampling requirements of the 10-bit oscilloscope, which can provide a clocking scheme for small and low-power ultrahigh-speed oscilloscope.

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A 5G Wireless Event-Driven Sensor Chip for Online Power-Line Disturbances Detecting Network in 0.25 μm GaAs Process

Cited by 11 publications

References 21 publications

5G Smart Sensor Network-Based e-Commerce Investment Risk Management System for SMEs

5G Smart Sensor Network-Based e-Commerce Investment Risk Management System for SMEs

Selecting multiple communication technologies in IoT platforms

A 10‐MHz to 50‐GHz low‐jitter multiphase clock generator for high‐speed oscilloscope in 0.15‐μm GaAs technology

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