Development Of Acquisition System Research Articles

Development of a Climate Equipment Parameter Acquisition System using PID and Fuzzy Logic Controllers to Improve Energy Efficiency

Development of a Climate Equipment Parameter Acquisition System using PID and Fuzzy Logic Controllers to Improve Energy Efficiency

Development and application of multi-parameter real-time acquisition system for intelligent secondary equipment

Abstract A multi-parameter real-time collection and analysis system, including intelligent secondary equipment, data collection gateway, and health management backend, has been constructed to solve the problem of current incomplete monitoring data and inability to providential warning of hidden faults of intelligent secondary equipment in substations. The key feature parameters of the device’s functional modules were extracted, and a data collection gateway was developed to achieve IoT access to feature data. A fault identification and warning model for the secondary equipment functional module considering temperature is provided, which realizes the assessment of equipment health status and ensures the stable and reliable operation of the power grid.

Geoscience Visual Presentation G10: Development of a novel seismic acquisition system based on fully autonomous ocean bottom nodes

Geoscience Visual Presentation G10: Development of a novel seismic acquisition system based on fully autonomous ocean bottom nodes

Development of a novel seismic acquisition system based on fully autonomous ocean bottom nodes

It is now established that ocean bottom node (OBN) surveys provide superior seismic data compared to traditional towed streamers, but deployment of the nodes is time-consuming and expensive. As an alternative, we are developing a novel seismic acquisition system that utilises a fleet of fully autonomous underwater vehicles (AUVs) as OBNs. The objective is to eliminate the reliance on remotely operated vehicles (ROVs) or ropes for deployment, making ocean bottom seismic acquisition significantly more efficient and cost-effective. To succeed, several criteria need to be met, including recording of good geophysical data, system affordability, low power consumption, units’ ability to act autonomously (e.g. steer, land, listen, re-position, surface) and to respond to remote commands (e.g. cease activity, return), a failure recovery protocol, automated deployment and retrieval, and system-wide communications. The ability to record good seismic data was assessed in October 2022, when we performed active-source seismic field trials in the UK. Five AUVs were deployed adjacent to commercial nodes (all units carried identical geophysical payloads) and a series of 2D lines were acquired at varying orientations. Analysis of the data confirmed that our units achieved satisfactory coupling with the seabed. The unit’s in-water capabilities were assessed during multiple field trials in 2022 and 2023, offshore UK and Australia. Tests consisted of simulating seismic acquisition cycle (flights, landings, take-offs and repositioning) where it was verified that missions were reliably executed, including landing within 10 m from pre-planned locations and recording good quality passive seismic data.

A Review Study of Development of a Portable Pulse Acquisition System for Predictive Analysis of Cardiovascular Diseases Based on the Study of Nadi Nidan Practices

A Review Study of Development of a Portable Pulse Acquisition System for Predictive Analysis of Cardiovascular Diseases Based on the Study of Nadi Nidan Practices

Development of a subsea distributed acoustic sensing acquisition system

Over the past few decades, distributed acoustic sensing (DAS) data acquisition has seen great improvements from better interrogators, engineered fiber, and lessons learned from subsea installation and acquisition. This has given us confidence that DAS cables can be installed in wells with subsea trees to be used as receivers for vertical seismic profile (VSP) seismic imaging. VSP imaging for deepwater fields has been demonstrated to provide better illumination and higher-frequency seismic data. Permanent DAS cable installation can be used to acquire highly repeatable time-lapse (4D) data. DAS cables have been installed in a number of subsea wells on two deepwater oil fields with the intention of covering the crest of these fields with high-frequency seismic data. A system has been developed to allow for DAS acquisition on these offshore subsea wells with long-distance tie backs using permanently installed interrogators on the floating platforms and engineered fiber in the wells. On each of these fields, a DAS cable has now been installed, and subsequently, a zero offset (ZO) DAS VSP has been acquired for verification and commissioning. These ZO DAS VSP acquisitions indicate high-fidelity installations resulting in DAS VSP data with excellent data quality. These first subsea DAS acquisitions indicate great promise, and further installations and acquisitions are planned with the ultimate goal of providing high-frequency seismic images over the crest of these fields to reduce the uncertainty in decisions around reservoir management and future infill drilling.

Development and Calibration of Water Apparent Optical Property Acquisition System

Development and Calibration of Water Apparent Optical Property Acquisition System

Design of a 5.94 FO4 absolute-value detector based on hybrid logic technique

With the development of neural signal acquisition systems, spike sorting algorithms have become a hot topic in related fields. The delay of the spike detection system largely determines the speed of the overall signal acquisition system. This paper designs a low-delay Absolute-value Detector based on the GDI technique to improve the timeliness of the neural signal acquisition system. The final circuit has only 20 logic gates-56 transistors. According to the logical effort methodology, the final path delay is 5.94 FO4. This research can provide a reference for the design of future portable ultra-low delay neural signal acquisition systems.

K-Synapse: Intelligent Learning System with Elements of Gamification

The purpose of the article is to solve the problem of acquiring expert knowledge in the subject area of an online course, forming a knowledge base containing educational content (elements of educational material in the chosen discipline, test questions), and game components for organizing learning processes with elements of gamification in the author’s intelligent learning system K-Synapse. The research methods are the main methodological approaches and technological tools for developing intelligent learning systems with gamification elements based on the use of an appropriate multi-level ontological model. Such methods include, in particular, systemic and comparative analyses to identify the features of information learning systems with elements of intellectualization and gamification, the method of expert evaluation, which involves the analysis of literary sources and information resources, interviews and surveys of experts in the pedagogical, psychological and information technology fields, as well as the process of developing and testing an intelligent system. The scientific novelty of the research is the development of an expert knowledge acquisition system for the K-Synapse intelligent system, which combines the formation of an expert knowledge base and game components with elements of intellectual dialogue for different age categories and self-education. This development can be applied in the field of online education and cognitive skills development using the game form. Conclusions. Developing an expert knowledge acquisition system for the K-Synapse intelligent system is an important stage in developing education and self-education using innovative technologies. The preparation of an expert knowledge base and game components with elements of intellectual dialogue for different age categories will increase the efficiency of the learning process and increase students’ motivation for self-directed education. The K-Synapse system is an intelligent learning system with gamification elements and intellectual dialogue. This system provides, in particular, support for a wide range of topics, and knowledge (competencies, skills or abilities), that a student can acquire during training (in the process of playing); a wide range of topics and levels of test questions; helps the student by providing appropriate advice, tips, explanations of complex or incomprehensible issues (questions); monitors the learning process and controls the results; increases the level of student motivation to learn through the desire to achieve better results that other students have already had (this happens in an exciting game manner, not psychologically stressful). The successful implementation of the K-Synapse intelligent learning system will give students’ learning and cognitive activities an impetus for creativity, improve the quality of the educational process, and integrate this system into many modern information learning systems. Thus, such a system development can have great potential for improving education quality and increasing students’ competence.

Image analysis and benthic ecology: Proceedings to analyze in situ long‐term image series

AbstractLong time series of underwater images have become a tool widely used within the benthic ecology research community. The development of new acquisition systems with bigger storing capacities lead researchers and scientists to deploy them for longer periods resulting in large amounts of data. This paper focuses on the first steps of analyzing large numbers of underwater images, which involves assessing the amount of valid data while assuming no technical problems. The question here addressed is how many of the in situ images can reliably be really used for benthic ecology purposes. To answer this question, we propose a method to eliminate nonvalid images and use it with four different sets of time‐lapsed images acquired for long periods ranging from 73 to 371 ds in a row. The results show that elimination of between 8% and 22% of the images is possible depending on the data set. The main advantage of the method is easing and accelerating automation of subsequent analysis.

Design and Optimization of 4-bit Absolute-value Detector Based on CMOS

With the development of neural signal acquisition systems, spike-sorting algorithms have been paid full attention. As one of the most extensively used spike-detection algorithms, a 4-bit absolute-value detector is designed in the paper, which comprises three types of architecture. The first design is using combinational logic circuit through a truth table of the absolute value of 2′s complement format and a comparator; the second design is a combination of a series of half adders and transmission gates and a comparator; the third design consists of a combinational logic circuit by truth table of 2′s complement and a cascade of full adders. Then the paper compares the total number of stages and consuming transistors of each circuit, and finally chooses the second circuit, which has five stages and 74 transistors of consumption, as the object of following optimization of critical path delay and energy consumption. With gate sizing, the optimized critical path delay is about 43.05 tp0. The original energy consumption under minimum delay is 49.88C, and the optimized energy consumption under 1.5x minimum delay is 30.35C which is reduced by 39.16%. The processing of the functional realization and circuit optimization of absolute-value detectors can both benefit from the design presented in this work.

Development of Low-Cost Biosignal Acquisition System for ECG, EMG, and EOG

The use of bio-signal is very crucial, providing enormous information concerning health and well-being of the individual. such signals can be measured and monitored by specialized devices to each bio-signal, for instance, the electrocardiogram (ECG), electromyography (EMG), electroencephalogram (EEG), and electrooculogram (EOG). Due to use of such devices, these signals could be utilized for several objectives. As it is observed in the devices of medical detection and Human to Machine Interactions (HCI). This paper presents a low-cost bio-signal collection device which is having the ability to record ECG, EMG, and EOG signals. Furthermore, STM32F103C8 system is used in Analog to Digital Conversion (ADC), with its particular application. An application has been developed in order to allow admins to observe and save the data signal simultaneously. This application has been developed by using C++ programming language and MATLAB’s code. The data signal is recorded in a format of mat file, which can be studied in details in the proposed system. This system is capitalized on Universal Serial Bus (USB) wired communication link, which is used to transmit the bio-signal through, that guarantees the safety ,avoid noise and interference. The system shows its compatiblity with various operating systems, such as, Windows, Linux, and Mac.

Remove Artifacts from a Single-Channel EEG Based on VMD and SOBI.

With the development of portable EEG acquisition systems, the collected EEG has gradually changed from being multi-channel to few-channel or single-channel, thus the removal of single-channel EEG signal artifacts is extremely significant. For the artifact removal of single-channel EEG signals, the current mainstream method is generally a combination of the decomposition method and the blind source separation (BSS) method. Between them, a combination of empirical mode decomposition (EMD) and its derivative methods and ICA has been used in single-channel EEG artifact removal. However, EMD is prone to modal mixing and it has no relevant theoretical basis, thus it is not as good as variational modal decomposition (VMD) in terms of the decomposition effect. In the ICA algorithm, the implementation method based on high-order statistics is widely used, but it is not as effective as the implementation method based on second order statistics in processing EMG artifacts. Therefore, aiming at the main artifacts in single-channel EEG signals, including EOG and EMG artifacts, this paper proposed a method of artifact removal combining variational mode decomposition (VMD) and second order blind identification (SOBI). Semi-simulation experiments show that, compared with the existing EEMD-SOBI method, this method has a better removal effect on EOG and EMG artifacts, and can preserve useful information to the greatest extent.

Development of Ultra Low-Cost Data Acquisition System (DAS) for Developing Countries

The Data Acquisition System (DAS) is an important equipment in measurement systems especially in weather monitoring and also very crucial in many areas such as agricultural, communication, transportation, sport and industrial processes. This work proposes a weather monitoring system based on an Arduino Mega 2560 microcontroller board. The microcontroller has the ability to monitor, record and display the information of atmospheric sensor parameters connected to its analogue and digital pins. The outputs of analogue sensors are connected to the microcontroller through separate ADC for sampling. An LCD attached to the microcontroller displays the measured parameters. For analysis, the data is stored in excel format and can be copied directly from microSD card. The DAS was tested and examined through intensive experimental work. The tables and plots obtained from the experiment for standardizing the sensors, it is clear that there is a close conformity between the data collected by the developed system and the existing standard systems. The need for extra cost baud rate and expensive third-party computer software for interfacing to download data from the logger have been eliminated. There is no need of internet for any linking or configuration. It is evident that the DAS is of better choice in terms of cost and maintenance. The system will be helpful in monitoring and recording of atmospheric parameters.
 HIGHLIGHTS
 
 Only a few weather monitoring stations in Nigeria are functioning as a result of the high cost, maintenance and repair services of imported DAS systems. Also, imported DAS devices are often not suitable for the tropical environment
 Other problems include: proprietary software that lacks flexibility, the necessity for third-party software to extract data and difficulties in getting usable parts and unexpected changes in production designs
 Developed DAS device offers a higher resolution compared to existing devices
 Low-cost and flexible meteorological DAS system with ease of installation
 Convenience in deployment for weather data acquisition and research purposes in relevant fields
 
 GRAPHICAL ABSTRACT

The legacy of the five octave research array and its impact on future towed array development

The five octave research array (FORA) was developed and implemented in support of the Office of Naval Research (ONR) Ocean Acoustics program’s experimental efforts. Dr. John R. Preston spearheaded planning, development, and experimental operations of this well-known acquisition system. Planning and development of the system took place between 1997 and 2002, while engineering assessment and array enhancements continued through 2004. From initial delivery to the Penn State Applied Research Laboratory to the present, the FORA made possible over 20 very successful sea trials. These trials were primarily in the interest of oceanographic and underwater acoustics, as well as signal processing research. The data collected, with John at the helm, fostered hundreds (if not thousands) of scholarly works, while John’s collaborative nature allowed an enormous number of researchers and students to benefit from the data and experience in at-sea experimentation. One of John’s final contributions was to renew planning and discussions for a replacement research array to continue in place of the aging FORA, which was becoming less dependable and increasingly expensive to maintain. This talk will discuss the development and history of the FORA, its involvement in a selection of collaborative ONR trials, and the FORA replacement acquisition system.

Stimulation and Acquisition’ System to Obtain the Visual Evoked Potential Related to the Optic Nerve Pathologies

The development and integration of an electroencephalographic signal acquisition and stimulation system is proposed to support the detection of pathologies related to the optic nerve. It is based on the extraction and analysis of a characteristic waveform called Visual Evoked Potential immersed in the electroencephalographic register. Some parameters of this potential, as latency and amplitude, are affected by the optic nerve pathologies, and measurement of changes from its normal states can be used as indicators of abnormal visual functionality of a patient. The proposed stimulation system can generate Visual Evoked Potential and multifocal Visual Evoked Potential which can help to locate pathologies in different areas of the visual field.

A Finite Element Analysis and Circuit Modelling Methodology for Studying Electrical Impedance Myography of Human Limbs.

Electrical impedance myography (EIM) measures bioimpedance over muscles. This paper proposes a circuit-based modelling methodology originated from finite element analysis (FEA), to emulate tissues and effects from anthropometric variations, and electrode placements, on EIM measurements. The proposed methodology is demonstrated on the upper arms and lower legs. FEA evaluates impedance spectra (Z-parameters), sensitivity, and volume impedance density for variations of subcutaneous fat thickness (t f), muscle thickness (t m), and inter-electrode distance (IED), on limb models over 1Hz-1 MHz frequency range. The limbs' models are based on simplified anatomical data and dielectric properties from published sources. Contributions of tissues to the total impedance are computed from impedance sensitivity and density. FEA Z-parameters are imported into a circuit design environment, and used to develop a three Cole dispersion circuit-based model. FEA and circuit model simulation results are compared with measurements on ten human subjects. Muscle contributions are maximized at 31.25 kHz and 62.5 kHz for the upper arm and lower leg, respectively, at 4 cm IED. The circuit model emulates variations in t f and t m, and simulates up to 89 times faster than FEA. The circuit model matches subjects measurements with RMS errors and , while FEA does with and . We demonstrate that FEA is able to estimate the optimal frequencies and electrode placements, and circuit-based modelling can accurately emulate the limbs' bioimpedance. The proposed methodology facilitates studying the impact of biophysical principles on EIM, enabling the development of future EIM acquisition systems.

Development of High-Speed Image Acquisition and Processing System for Real-Time Plasma Control on EAST

In order to realize advanced plasma control based on visible cameras, a high-speed image acquisition and processing system has been developed recently on Experimental Advanced Superconducting Tokamak (EAST). This system is optimized in many ways to achieve high-speed, real-time, low-latency performance, and to load multiple acquisition cards simultaneously. The acquisition rate of this system can be close to 10 000 FPS when the frame size is set as 320 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times240$ </tex-math></inline-formula> and the pixel depth is set as 8 bits. DMA is used for high-speed data transmission; the memory copy function is optimized for reducing the time cost on data memory reading and writing. Besides, the visualization subsystem based on the Python web can communicate with the acquisition machines and also can synthesize data of multiple acquisition machines in real time to perform image fusion and access display. In addition, a thermal event recognition function based on visible imaging is also included in this system. The convolutional neural network (CNN) model of hot spots and multifaceted asymmetric radiation from the edge (MARFE) detection for EAST plasma discharge has been developed so far. The detection results can be visualized in quasi-real time. In terms of data storage, a new data storage format is designed; a GUI for off-line data analysis and processing based on MATLAB is provided.

Development of single channel EEG Acquisition system for BCI applications

Brain-Computer Interface (BCI) plays a major role in current technologies such as rehabilitation, control of devices, and various medical applications. BCI or brain-machine interface provides direct communication between a brain signal and an external device. In this paperwork, a detailed survey was carried out with the design of single-channel EEG system for various applications. Also, this paper mainly focused on the development of single-channel electroencephalography (EEG) signal acquisition system which includes a preamplifier, bandpass filter, post-amplifier and level shifter circuits. The design of the preamplifier and post-amplifier circuit was carried out by integrated circuits (IC) such as instrumentation amplifier IN128P and bandpass filter with the help of low power operational amplifier LM324. The developed single-channel acquisition board was tested by acquiring an electrooculogram (EOG) signal with closed and opened eye conditions. The acquired signal is displayed and stored in the computer with the help of the HBM-DAQ unit.

Design of embedded acoustic image acquisition system for wireless sensor network

In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system.