The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform

Sai Venkatesh Balasubramanian - One of the best experts on this subject based on the ideXlab platform.

  • Generation of Electrical Solitons in 180nm CMOS Technology using Adaptive Bias Controlled Ring Oscillators
    viXra, 2015
    Co-Authors: Sai Venkatesh Balasubramanian
    Abstract:

    The progressive miniaturization seen in the current era of nanoelectronics poses the significant problem of signal distortion. Taking cue from the concept of solitons introduced in recent times in optical and electronic domains, the present work proposed a new perspective on the design of a Solitary Pulse Generator Circuit. The key elements here are Ring Oscillators consisting of CMOS inverters, in whose feedback path a Potential Divider Circuit is inserted. It is seen that the Potential Divider provides significant altering of Operating Point, thus transforming Ring Oscillators to Adaptive Bias Controlled Ring Oscillators (ABCRO). The output is characterized using waveforms and spectra, and a decent match with conventional hyperbolic secant based solitary pulses is observed. The effect of supply voltage on frequency and power dissipation, and the effect of number of stages are also studied. The simplicity of the proposed design in comparison with conventional soliton oscillators, coupled with low values of power dissipation and consistent frequency of operation form the significant highlights of the present work.

John Nunn - One of the best experts on this subject based on the ideXlab platform.

  • DIY soundcard based temperature logging system. Part I: design
    Physics Education, 2016
    Co-Authors: John Nunn
    Abstract:

    This paper aims to enable schools to make their own low-cost temperature logging instrument and to learn a something about its calibration in the process. This paper describes how a thermistor can be integrated into a simple Potential Divider Circuit which is powered with the sound output of a computer and monitored by the microphone input. The voltage across a fixed resistor is recorded and scaled to convert it into a temperature reading in the range 0–100 °C. The calibration process is described with reference to fixed points and the effects of non-linearity are highlighted. An optimised calibration procedure is described which enables sub degree resolution and a software program was written which makes it possible to log, display and save temperature changes over a user determined period of time.

Wayne W. Weaver - One of the best experts on this subject based on the ideXlab platform.

  • Near Field Wireless Power Transfer via Robotic Feedback Control
    2020 IEEE Aerospace Conference, 2020
    Co-Authors: Carl Greene, John Naglak, Casey Majhor, Wayne W. Weaver
    Abstract:

    Unmanned rover application plays a key role in planetary exploration, where power and efficiency is paramount. The approach utilized in this work allows for near field wireless power transfer in remote locations with minimal support. The ability to establish a micro-grid power system connection autonomously using wireless power, eliminates the arduous task of designing a complex, multiple degrees of freedom (MDOF) robotic arm. The work presented in this paper, focuses on both the hardware and software within the micro-grid system. This particular near field wireless system consists of a primary and secondary set of modules, comprised of Litz wire coils, which are inductively coupled to complete the Circuit. Both the primary and secondary modules contain a shunt resistor Circuit, as well as a Potential Divider Circuit and an Arduino controller (used to collect and analyze recorded data). The aforementioned hardware, allows for quantitative measurement of voltage, current, and power of the primary and secondary modules. Robot rover docking is accomplished using camera visualization, wheel odometry, and GPS data; all of which, are provided by the Robot Operating System (ROS). Various docking poses are used to characterize overall power transfer and efficiency at diverse alignments. Using collected data from the near field power modules' Arduino controllers and ROS, power from the coils is measured as functions of both the distance between coils and associated yaw angle. Power transfer efficiency is then evaluated using compiled power data. A dynamic feedback control system optimizes power transfer efficiency and docking alignment. The feedback control system acts as the driving force for re-docking the robot and further enhancing efficiency of the proposed near field power connection. In its entirety, the research paper explores the physical and mathematical relationships used to develop the dynamic feedback control system.

Sandip Bordoloi - One of the best experts on this subject based on the ideXlab platform.

  • Microcontroller-based instrumentation system for measurement of refractive index of liquid using bare, tapered and bent fibre as sensor
    IET Optoelectronics, 2013
    Co-Authors: Shakuntala Laskar, Sandip Bordoloi
    Abstract:

    This study presents a microcontroller-based instrumentation system to measure the refractive index (RI) of an unknown liquid using an optical fibre sensor probe. A bare, tapered and bent multi-mode optical fibre (BTBMOF) is used as the sensing element or refractometer to construct an optical fibre sensor probe. The optical fibre sensor probe contains (i) a diode laser as source (with a pigtail), (ii) a BTBMOF as sensing element and (iii) an LDR (light dependent resistor) as detector. The bare and tapered portion of the optical fibre sensor is given the shape of a semicircular arc to add the macro bending effect along with the power coupling effect (which takes place because of propagation of a light ray through the tapered portion of the fibre). The diode laser source launches a beam of laser ray at one end of the BTBMOF. The power transmitted through the BTBMOF is influenced by the RI of the liquid surrounding it. The laser beam coming out from the BTBMOF is made incident on the LDR. Thus, the resistance of the LDR changes according to the RI of the liquid applied around the BTBMOF. The LDR is connected across a 5 V DC supply with a series resistance to form a Potential Divider Circuit. The output from the Potential Divider Circuit is interfaced to the ADC0 (analogue input pin) of an ATmega 32 microcontroller via a low-pass filter for reading and displaying the RI value of the liquid.

Carl Greene - One of the best experts on this subject based on the ideXlab platform.

  • Near Field Wireless Power Transfer via Robotic Feedback Control
    2020 IEEE Aerospace Conference, 2020
    Co-Authors: Carl Greene, John Naglak, Casey Majhor, Wayne W. Weaver
    Abstract:

    Unmanned rover application plays a key role in planetary exploration, where power and efficiency is paramount. The approach utilized in this work allows for near field wireless power transfer in remote locations with minimal support. The ability to establish a micro-grid power system connection autonomously using wireless power, eliminates the arduous task of designing a complex, multiple degrees of freedom (MDOF) robotic arm. The work presented in this paper, focuses on both the hardware and software within the micro-grid system. This particular near field wireless system consists of a primary and secondary set of modules, comprised of Litz wire coils, which are inductively coupled to complete the Circuit. Both the primary and secondary modules contain a shunt resistor Circuit, as well as a Potential Divider Circuit and an Arduino controller (used to collect and analyze recorded data). The aforementioned hardware, allows for quantitative measurement of voltage, current, and power of the primary and secondary modules. Robot rover docking is accomplished using camera visualization, wheel odometry, and GPS data; all of which, are provided by the Robot Operating System (ROS). Various docking poses are used to characterize overall power transfer and efficiency at diverse alignments. Using collected data from the near field power modules' Arduino controllers and ROS, power from the coils is measured as functions of both the distance between coils and associated yaw angle. Power transfer efficiency is then evaluated using compiled power data. A dynamic feedback control system optimizes power transfer efficiency and docking alignment. The feedback control system acts as the driving force for re-docking the robot and further enhancing efficiency of the proposed near field power connection. In its entirety, the research paper explores the physical and mathematical relationships used to develop the dynamic feedback control system.