Improved displacement sensing by spectral processing of laser self-mixing interferometry signal phase

Amin, Saqib; Hussain, Tassadaq

doi:10.1016/j.ijleo.2021.167722

Cited by 8 publications

(4 citation statements)

References 34 publications

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“…Additionally, real time data processing of data also requires a processing system. Many real time applications-based systems have utilized signal processing techniques [17][18][19][20], parallel programming systems [21][22][23], supercomputers [24], or Field Programable Gate arrays [25][26][27]. However, due to utilization of these high-end systems, overall cost also increases [28].…”

Section: Research Gapmentioning

confidence: 99%

IoT Based Smart Power and Load Management System

Zahra,

Sajjad,

Naqeeb

et al. 2023

IJEET

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The escalating electricity demand in Pakistan and other developing nations presents significant challenges for distribution systems. To address this issue, utilities often resort to load shedding practices. However, despite urging consumers to reduce their load during peak hours through monthly bill notifications, compliance remains low due to either unwillingness or lack of awareness. The manual process of reminding consumers about peak hours and manually managing high loads during peak and off-peak periods is both inconvenient and laborious. In response to these challenges, this study focuses on implementing a time-controlled automated load management system. The primary objective is to enable automatic switching ON/OFF of various consumer loads at specific intervals. This system eliminates the need for manual load switching based on time, while also providing control and monitoring capabilities for electrical devices using the Internet of Things (IoT) concept. The implementation utilizes an ESP-32 device based on the Blynk framework, integrating sensors and smartphones to create a functional prototype. Through the Blynk framework-installed smartphones, users can interact with the system's server, which responds to their requests. Our development efforts have resulted in an IoT-based load management system, empowering users to utilize their electrical load at full capacity during normal hours. However, during peak hours, load consumption is automatically restricted through IoT technology. The IoT application facilitates wireless monitoring and control of the load, enhancing convenience and efficiency.

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Section: Research Gapmentioning

confidence: 99%

IoT Based Smart Power and Load Management System

Zahra,

Sajjad,

Naqeeb

et al. 2023

IJEET

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show abstract

“…Zhang et al [6] proposed an FPGA and DSP based system for electricity load management. Field Programable Gate arrays [7][8][9][10] and signal processing techniques [11][12][13][14] have also been utilized in different parallel programming systems [15,16] for sensing [17,18] and healthcare applications [19,20]. In [21] their study, presented a system that utilizes IoT technology, specifically the implementation of a Wi-Fi module ESP01, to establish a connection between users and the utility.…”

Section: Introductionmentioning

confidence: 99%

IoT Based Load Management Control and Theft Protection from DISCO’s Side

Nawaz,

Zohaib,

Zahra

et al. 2023

IJEET

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Electricity serves as the primary power source that fuels our modern world. Without it, the functionality of everyday devices and appliances would cease. However, the relentless growth of populations, economies, and industries has led to an alarming disparity between energy demand and supply. Furthermore, power companies face a significant challenge in the form of electricity theft, resulting in substantial losses from the grid each year. To prevent electricity infrastructure from collapsing, utilities resort to load shedding, cutting off power to specific areas during shortages. To address this issue, the proposed study aims to develop a load management system that allows users to operate essential loads during shortfall hours, mitigating the impact of power cuts. Additionally, this study addressed electricity theft by introducing a theft control system by employing an automatic control unit that injects frequency-distorted voltage into low- voltage lines. As a result, the illegal consumers' loads will be malfunctioned upon detecting thefts and notifies utilities of theft occurrences, enabling them to penalize offenders. ensuring the utility's ability to act while the legal consumers will have the retention of power supply with normal frequency as due to the action of step-up cyclo-converter installed in smart metering infrastructure. The study implements a simplified design for a single-phase distribution system using the ESP8266 Wi-Fi module. This IoT-based solution sends consumer data to a web page accessible via an IP address, facilitating efficient monitoring and management of the system. Overall, the proposed study offers a load management solution and theft protection system to address the challenges posed by increasing energy demand and electricity theft.

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“…Existing non-invasive PPG-based systems often rely on separate emitter and photodetector units, in which LED is used as transmitter and photodiode is used as receiver. Light based solutions are also used for many other applications providing contact less measurements for displacement sensing [11][12][13][14][15][16] or signal transmission for health care system [17]. Bikash has used the configuration of LED of 940 nm and photodiode as a detector [18].…”

Section: Introductionmentioning

confidence: 99%

Design and Fabrication of Heart Rate and Oxygen Saturation Measurement Device using LED-LED Configuration and to Study Correlation of PPG Signal Amplitude with Breathing Rate

Khan,

Akram,

Amin

et al. 2023

PJOSR

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we present an approach for non-invasive signal acquisition in healthcare applications, specifically aiming the measurement of oxygen saturation (SpO2) and heart rate (HR) using photoplethysmography (PPG). Our proposed project emphasis on the design of a circuit that uses light-emitting diodes (LEDs) both as emitters and detectors. Through the use of a Field Programmable Gate Array (FPGA), we are able to effectively control the LEDs. By employing three LEDs, with two serving as emitters and one as a detector, we successfully obtain PPG signal after removing the noise. This work also demonstrates the correlation between PPG signal amplitudes and changes in breathing rate, showing lower amplitudes with decreased oxygen concentration and higher amplitudes with increased breathing rates. This proposed circuit design gives a cost-effective solution with low power consumption, making it highly suitable for practical implementation.

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Improved displacement sensing by spectral processing of laser self-mixing interferometry signal phase

Cited by 8 publications

References 34 publications

IoT Based Smart Power and Load Management System

IoT Based Smart Power and Load Management System

IoT Based Load Management Control and Theft Protection from DISCO’s Side

Design and Fabrication of Heart Rate and Oxygen Saturation Measurement Device using LED-LED Configuration and to Study Correlation of PPG Signal Amplitude with Breathing Rate

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