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6 articles for “Signal Conditioning Boards”
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Pre-Deployment Tests of Signal Conditioning Boards for Wireless Sensor Network Deployment
Abstract: AbstractDiversity in signal measurement and transmission increases signal availability. Various well known stabilized technologies are available to use to achieve diversity in signal measurement. But to achieve transmission diversity, the wireless technology is a truly diverse mechanism of wired transmission. Wireless Sensor Network (WSN) is the practical implementation of such technology. To implement WSN for nuclear reactor signals, it requires stringent testing, qualification, verification and validation of WSN nodes and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 7, Issue 2, 2017 · pp. 1–11 Read article
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Harnessing the Potential of Virtual Instrumentation
Abstract: The Virtual Instrument (VI) uses custom software and hardware to create a user-defined measurement system, called a Virtual Instrument. Virtual instruments are similar to traditional instruments, such as multimeters, oscilloscopes, spectrum analyzers, and data acquisition systems. It has great flexibility, high performance, flexibility and low cost. Primarily, it consists of a personal computer or workstation, and Vi software such as LabVIEW, NI DAQmx, and MATLAB. This modular hardware includes data …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 1–15 Read article
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LabView Based Control System Design for Water Tank Heater System
Abstract: This paper presents the control system design for water tank heater system (WTHS) with the help of LabVIEW and Arduino UNO R3 based Atmega328 microcontroller to regulate the temperature of water inside the water tank heater system to a certain reference value. In the process control system, the accurate measurement of the temperature is not an easy task. The aim of this work is to develop a low-cost and flexible …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 31–40 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 16–24 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
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Title-: Hello! Are we alone? If you're like me, you may want to know me
Abstract: A thin layer near the surface of Earth is teeming with life of huge diversity: from micro-organisms to plants, animals, and possibly even more intelligent species humans !. Up till now, human forms the only known samples of intelligent civilized life in the Universe? We humans accepted that the laws and concepts of physics and chemistry can be applied throughout entire cosmos. Is there then a general biology as well …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 3, 2019 · pp. 1–22 Read article