Journal articles on the topic 'Data Acquisition Device'

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1

Mifsud, M., and M. Milner. "Two-channel miniature data-acquisition device." Medical & Biological Engineering & Computing 24, no. 2 (March 1986): 199–202. http://dx.doi.org/10.1007/bf02443937.

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2

Vamos, Daniel, Stefan Oniga, and Anca Alexan. "Personal data acquisition IOT gateway." Carpathian Journal of Electronic and Computer Engineering 11, no. 1 (September 1, 2018): 44–47. http://dx.doi.org/10.2478/cjece-2018-0008.

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Abstract Personal activity tracker are nowadays part of our lives. They silently monitor our movements and can provide valuable information and even important alerts. But usually the user’s data is stored only on the activity tracker device and the processing done is limited by this modest processing power device. Thus it is very important that the user’s data can be stored and processed in the cloud, making the activity tracker an IOT node. This paper proposes a simple IOT gateway solution for a custom user monitoring device.
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3

Sampedro, A. Sanchez, S. Sagrado Vives, and J. Martinez Calatayud. "Device for data-acquisition from transient signals: kinetic considerations." Journal of Automatic Chemistry 12, no. 5 (1990): 199–204. http://dx.doi.org/10.1155/s1463924690000268.

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This paper reports on the evaluation and testing of a home-made device. Data-acquisition, treatment of transient signals and the hardware and software involved are discussed. Some practical aspects are developed in order to power the autonomy of procedures using the device. Kinetic and multi-signal calculations are considered in order to cover the actual tendencies in continuous-flow analysis. Somepractical advantages versus the use of classical chart recorders or commercial computerized-instrument devices are pointed out.
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., Sandhya D. Foke. "INTERNET ENABLED DATA ACQUISITION AND DEVICE CONTROL." International Journal of Research in Engineering and Technology 03, no. 03 (March 25, 2014): 625–27. http://dx.doi.org/10.15623/ijret.2014.0303116.

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5

Shizeng Wu. "A very high-rate data acquisition device." IEEE Transactions on Consumer Electronics 41, no. 1 (1995): 104–7. http://dx.doi.org/10.1109/30.370316.

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6

Hercog, Darko, and Bojan Gergič. "A Flexible Microcontroller-Based Data Acquisition Device." Sensors 14, no. 6 (June 2, 2014): 9755–75. http://dx.doi.org/10.3390/s140609755.

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7

Saradzhev, A. M., and K. A. Sogoyan. "Multichannel data-acquisition device for microclimate monitoring." Measurement Techniques 31, no. 8 (August 1988): 816–18. http://dx.doi.org/10.1007/bf00863507.

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8

He, Hong, Xiao Lun Zhang, Da Jian Zhang, and Ming Feng Hou. "USB2.0-Based Data Acquisition System." Advanced Materials Research 179-180 (January 2011): 415–20. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.415.

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CY7C68013 data acquisition card generally connect GPIF with other peripherals through the external FIFO, not only increasing the device but getting poor real-time relatively. This paper, USB2.0-Based data acquisition system, solves this problem successfully. The system based on high-speed USB2.0 transmission control chip CY7C68013, uses GPIF connected A / D device directly. Calculate time intervals correctly, not only avoiding data loss, but also saving the FIFO memory and related connections, which greatly reduce costs. This paper describes how the GPIF connects to A / D chip as well as designing of firmware and application programs.
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9

Srivastava, Himanshu, and Shashikala Tapaswi. "Logical acquisition and analysis of data from android mobile devices." Information & Computer Security 23, no. 5 (November 9, 2015): 450–75. http://dx.doi.org/10.1108/ics-02-2014-0013.

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Purpose – The purpose of this paper is to propose an approach that helps in acquisition of live data as well as data stored in the internal/external memory of android mobile device considering that the data on the device are not much altered during the extraction process. Also, the emphasis is laid on testing the validity of existing forensic tools against the data obtained manually and by using this approach. Smartphones have spurred the mobile computing technology, and Android is widely used as an Operating System in these devices. These days, users store most of their personal information like emails, images, contacts etc., on Phones/Tablets as their data would be readily accessible and thus convenient for them. Design/methodology/approach – Android Operating System is built on the Linux Kernel and scripts to extract data from Android Mobile Device with the use of Android Debugging Bridge have been written. The approach is more focused on the logical acquisition of data from devices rather than acquisition using physical methods. Findings – Live data of the Facebook application running on the device can be extracted. Also, the password of the LuksManager application (used to create an encrypted volume on the device), which is stored in the internal memory, is also extracted and identified. Research limitations/implications – The study has been conducted in an academic environment, thereby limiting external validity. Another limitation is the limited edition of some of the software forensics tools that are used. The full access to these software tools are restricted by Law enforcement and Investigation policies. The research provides a different approach which could aid in criminal investigation activities on mobile devices. Practical implications – The devices which have the latest versions of Android not only store messages and mails, but a lot of information about GPS, as well as information about popular applications like Facebook, WhatsApp, etc. This could practically help a lot in criminal investigation. Originality/value – This study is important because very few works have been done on recent versions (Jellybean and Kitkat) of Android. The proposed approach could extract large amounts of information as compared to earlier approaches with the newer versions of Android having larger memory and new features.
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10

Lai, Sien, Ting Shu, Guang Hui Yang, and Rui Lin Zhang. "Accessed Data Acquisition Model Based on Multi-Protocolequipment." Advanced Materials Research 765-767 (September 2013): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1636.

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According to the requirement of multi-devices access to the computer in intelligent building monitoring system, combined with the principle of the upper computers data acquisition and the principle of configuration software, this paper proposes auppercomputerdata acquisition model by simulating the equipment into channels and the model is based on double buffers sampling technology. The model adopts the principle of device drivers;different equipments computer modules access to the model in the form of plug-ins.
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11

B. A. Klug, B. R. Tennes, H. R. Zapp, S. Siyami, and J. R. Clemens. "Software for a Miniature Impact Data Acquisition Device." Transactions of the ASAE 30, no. 6 (1987): 1818–21. http://dx.doi.org/10.13031/2013.30643.

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12

Markovic, Natasa, Jovana Dzunic, Djordje Djordjevic, and Günther Gruber. "System for central monitoring, control, data acquisition, and automatic regulation for ARWQM." Facta universitatis - series: Architecture and Civil Engineering 5, no. 2 (2007): 95–105. http://dx.doi.org/10.2298/fuace0702095m.

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This paper deals with construction of device for water quality monitoring on open water flows and connection of devices on individual river basins into central system for monitoring and supervision through GPRS modem. The device was tested on the WWTP (Waste Water Treatment Plant) in coal mine Citluk, Sokobanja, and laboratory of the Faculty of Civil Engineering and Architecture Nis.
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13

Martín-Prieto, Rodrigo. "Automation of the Data Acquisition System for Self-Quantification Devices." Proceedings 2, no. 18 (September 19, 2018): 1184. http://dx.doi.org/10.3390/proceedings2181184.

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In this paper we describe an environment that enables the interaction and data-fetching through a computer system from the Xiaomi Mi Band 2, a very popular and inexpensive Bluetooth Low Energy Fitness device, thus making it suitable for health-care long-term projects in which continuously gathering sleep and activity data is required. The environment is composed by a communication server running a custom library, exposed through both a shell command prompt and a RESTful API so it can be used by any other system connected to this server. The library is capable of connecting to an arbitrary number of devices at a time, bypassing many restrictions of the manufacturer’s proprietary application and not depending on an outgoing network connection to synchronize data between the system and the devices. In this paper we cover not only the process to enable communication with the target device from computers but also the architectural aspects of the developed system. We also provide brief information about the prototypes developed to test the system on a real ongoing geriatric study.
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14

Tavares, Rafael, Paulo Abreu, and Manuel Rodrigues Quintas. "Data Acquisition Glove for Hand Movement Impairment Rehabilitation." International Journal of Online Engineering (iJOE) 12, no. 04 (April 28, 2016): 52. http://dx.doi.org/10.3991/ijoe.v12i04.5141.

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The present paper describes a data acquisition wearable device for hand rehabilitation. The main goal of this glove is to be used by patients with hand movement impairment. It has position sensors to measure the bending of synovial joints and sensors to measure the fingertip contact pressure. There is a coin motor and a LED placed on each finger to produce a vibratory and visual stimulus. The glove also tracks the hand rotation and translation using a MPU (Motion Processing Unit) that contains an accelerometer and a gyroscope. A graphical application for an HMI module was developed in order to create rehabilitation game like exercises where sensor data can be logged for further analysis by a therapist. The wearable device electronic hardware comprises a Glove module and an HMI module that communicate through SPI protocol (Serial Peripheral Interface). The wearable device supports USB connection to send data to a computer or to be used as a peripheral device in virtual or augmented reality applications.
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15

Dudak, Juraj, Gabriel Gaspar, and Pavol Tanuska. "Implementation of Secure Communication via the RF Module for Data Acquisition." Journal of Sensors 2019 (June 11, 2019): 1–10. http://dx.doi.org/10.1155/2019/7810709.

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Wireless monitoring systems are currently a common part of both industrial and domestic solutions. In case of industrial use, it may be a sensory system at a point where it is not possible to implement a fixed line, or it is necessary to repeatedly change the position, respectively, the location of the measuring probes. This is, in particular, the monitoring of environmental parameters (temperature, humidity) in bulk materials, biomass, or agricultural crops in storage facilities. For domestic use, local weather devices and systems are part of smart households such as lock control (entrance gate, apartment entrance), light control, and HVAC control. Devices that utilize wireless technology for communication include IoT devices as well. This article describes the use of the VirtualWire communication protocol using radio frequency waves with a carrier frequency of 433MHz-900MHz. The main topic of the article is the design and implementation of a secure one-way communication channel. Such a solution consists of a transmitting device with implemented desired sensors and a receiving device that aggregates data from multiple transmitters.
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16

Huang, Jianhua, and XinLin Liu. "A Device Performance Data Acquisition System Based on Data Fusion Method." Journal of Physics: Conference Series 1982, no. 1 (July 1, 2021): 012196. http://dx.doi.org/10.1088/1742-6596/1982/1/012196.

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17

Alouani, Ali, Omar Elkeelany, and Mohammed Abdallah. "Stand-alone portable digital body sound data acquisition device." International Journal of Embedded Systems 4, no. 3/4 (2010): 292. http://dx.doi.org/10.1504/ijes.2010.039032.

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18

Kappes, Thomas, and Peter C. Hauser. "A Simple Supplementary Offset Device for Data Acquisition Systems." Journal of Chemical Education 76, no. 10 (October 1999): 1429. http://dx.doi.org/10.1021/ed076p1429.

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19

Dostálek, Petr, and Vladimir Vašek. "Portable data acquisition device based on Motorola 68HC908GP32 microcontroller." IFAC Proceedings Volumes 39, no. 21 (February 2006): 106–9. http://dx.doi.org/10.1016/s1474-6670(17)30167-2.

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20

Andrade, J. d. S., M. V. S. Sodre, D. S. Dominguez, F. M. Milian, and M. Torres. "Remote Device Control and Data Acquisition Using Embedded Systems." IEEE Latin America Transactions 9, no. 6 (October 2011): 938–43. http://dx.doi.org/10.1109/tla.2011.6096976.

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21

Finan, Donald S. "Get Hip to the Data Acquisition Scene: Principles of Digital Signal Recording." Perspectives on Speech Science and Orofacial Disorders 20, no. 1 (July 2010): 6–13. http://dx.doi.org/10.1044/ssod20.1.6.

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Use of the term “digital” has become ubiquitous. But what does it mean for a device to be “digital”? Computers process information by manipulating numbers (digits), and are therefore often referred to as digital systems. When the term “digital” is used to describe a device, the implication is that a computer is somehow involved. MP3 or iPod music players are digital devices, in that a computer was used to convert music to a numeric (digital) format so that it could be stored on a digital memory chip. This article will explore how computers capture real-world signals (such as acoustic speech signals), and why computer (digital) signal acquisition has advantages over older “analog” recording technologies. This article also will present information on potential error that can arise when converting analog signals to the digital domain.
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22

Wang, Li Qiang, and Li Zhou. "Research on Image Acquisition and Data Transmission System of Burden Surface in Blast Furnace." Applied Mechanics and Materials 419 (October 2013): 543–49. http://dx.doi.org/10.4028/www.scientific.net/amm.419.543.

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As images of the burden surface are directly related to working status of the blast furnace, monitoring system of the burden surface is essential for blast furnace. Images of burden surface are captured by CCD camera, and then transmitted by video line through anti-interference devices and video capture card from top monitoring device located in furnace roof to the main monitoring room. The three environment parameters including nitrogen pressure, water pressure and working temperature of CCD camera are very important to ensure CCD camera working in good conditions. Pressure gauges for nitrogen and water are installed near top monitoring device; temperature sensor for CCD camera is installed in the top monitoring device. All environment parameters are transmitted by RS485 transmission lines and modbus protocol to be dealt with in the main monitoring room.
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23

Yu, Yanchao, Ni Li, Yan Li, and Wentao Liu. "A Portable Waterproof EEG Acquisition Device for Dolphins." Sensors 21, no. 10 (May 11, 2021): 3336. http://dx.doi.org/10.3390/s21103336.

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The acquisition and analysis of EEG signals of dolphins, a highly intelligent creature, has always been a focus of the research of bioelectric signals. Prevailing cable-connected devices cannot be adapted to data acquisition very well when dolphins are in motion. Therefore, this study designs a novel, light-weighted, and portable EEG acquisition device aimed at relatively unrestricted EEG acquisition. An embedded main control board and an acquisition board were designed, and all modules are encapsulated in a 162 × 94 × 60 mm3 waterproof device box, which can be tied to the dolphin’s body by a silicon belt. The acquisition device uses customized suction cups with embedded electrodes and adopts a Bluetooth module for wireless communication with the ground station. The sampled signals are written to the memory card on board when the Bluetooth communication is blocked. A limited experiment was designed to verify the effectiveness of the device functionality onshore and underwater. However, more rigorous long-term tests on dolphins in various states with our device are expected in future to further prove its capability and study the movement-related artifacts.
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24

Zhang, Xiao Zhi. "Data Acquisition and Control of WiFi Wireless Network." Applied Mechanics and Materials 347-350 (August 2013): 520–24. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.520.

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This article is based on the experimental device of ShangHai Bizideal Information Technology Company, mainly introduce the method of building WiFi wireless network in the laboratory environment, and data acquisition and control can be used by means of software after that.
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Yu, Hai Yan, Hai Bo Meng, Qi Song, and Tian Yong Deng. "Research on Data Acquisition System of Ship Measurement and Control Device Check Equipment." Advanced Materials Research 591-593 (November 2012): 1242–46. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1242.

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Ship measurement and control device check equipment has realized the intelligent check of ship measurement and control device’s functional modules which have the function of parameter measuring, data acquisition, calculation, communication and power supply.It need to complete multiple parameters’data acquisition and operation above all, this paper introduces the process of data acquisition and operation of industrial control computer’s PCI cards by using VC program. The PCI cards include PCI-1713,PCI-1724,PCI-1758UDI,PCI-1758UDO,PCI-1612CU.It realizes the data acquisition and operation of industrial control computer’s analog input\output PCI cards,digital input\output PCI cards and communication PCI card. It completes the data acquisition function of check equipment. it satisfys the need of realtime and high accuracy of check equipment,it can used to other data acquisition systems.
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26

H. S., PINTO, AMÉRICO J. P., LEAL O. E. S., and STEFENON S. F. "Development of Measurement Device and Data Acquisition for Electric Vehicle." Revista Gestão Inovação e Tecnologias 11, no. 1 (January 14, 2021): 5809–22. http://dx.doi.org/10.7198/geintec.v11i1.1203.

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27

Ioi, Kiyoshi, Shinya Miyoshi, Yasushi Sato, and Toshio Kaneda. "Study on a Mechanical Pointing Device for Positional Data Acquisition." Journal of the Robotics Society of Japan 24, no. 2 (2006): 255–62. http://dx.doi.org/10.7210/jrsj.24.255.

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28

Patel, G. B., P. K. Srivastava, L. M. Awasthi, V. P. Anitha, G. Ravi, P. J. Patel, U. K. Baruah, and S. K. Mattoo. "Data acquisition and control system for large volume plasma device." Review of Scientific Instruments 73, no. 4 (April 2002): 1779–85. http://dx.doi.org/10.1063/1.1458046.

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29

Morais, Raul, Jorge Mendes, Renato Silva, Nuno Silva, Joaquim J. Sousa, and Emanuel Peres. "A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices." Agriculture 11, no. 7 (June 30, 2021): 619. http://dx.doi.org/10.3390/agriculture11070619.

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Spatial and temporal variability characterization in Precision Agriculture (PA) practices is often accomplished by proximity data gathering devices, which acquire data from a wide variety of sensors installed within the vicinity of crops. Proximity data acquisition usually depends on a hardware solution to which some sensors can be coupled, managed by a software that may (or may not) store, process and send acquired data to a back-end using some communication protocol. The sheer number of both proprietary and open hardware solutions, together with the diversity and characteristics of available sensors, is enough to deem the task of designing a data acquisition device complex. Factoring in the harsh operational context, the multiple DIY solutions presented by an active online community, available in-field power approaches and the different communication protocols, each proximity monitoring solution can be regarded as singular. Data acquisition devices should be increasingly flexible, not only by supporting a large number of heterogeneous sensors, but also by being able to resort to different communication protocols, depending on both the operational and functional contexts in which they are deployed. Furthermore, these small and unattended devices need to be sufficiently robust and cost-effective to allow greater in-field measurement granularity 365 days/year. This paper presents a low-cost, flexible and robust data acquisition device that can be deployed in different operational contexts, as it also supports three different communication technologies: IEEE 802.15.4/ZigBee, LoRa/LoRaWAN and GRPS. Software and hardware features, suitable for using heat pulse methods to measure sap flow, leaf wetness sensors and others are embedded. Its power consumption is of only 83 μA during sleep mode and the cost of the basic unit was kept below the EUR 100 limit. In-field continuous evaluation over the past three years prove that the proposed solution—SPWAS’21—is not only reliable but also represents a robust and low-cost data acquisition device capable of gathering different parameters of interest in PA practices.
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30

Ioi, Kiyoshi, Yasushi Sato, and Shinya Miyoshi. "New Portable Pointer for Positional Data Acquisition." Journal of Robotics and Mechatronics 18, no. 5 (October 20, 2006): 539–44. http://dx.doi.org/10.20965/jrm.2006.p0539.

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We present a new portable pointer for positional data acquisition to aid the physically handicapped. Our device is usable anywhere and anytime because it is rarely affected by environmental conditions such as light and noise. After giving a background, we explain its basic coordinate acquisition and propose concrete pointing that indicates the desired object and method to obtain accurate coordinates from points pointed at. We detail experimental pointer results and confirm that it accurately acquires coordinates of a desired object. We conclude with confirmation of the pointer’s usefulness and discuss projected work.
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31

Deng, Yu, Chunjiang Li, Zhijun Li, and Baosen Zhang. "Dynamic and Full-Time Acquisition Technology and Method of Ice Data of Yellow River." Sensors 22, no. 1 (December 28, 2021): 176. http://dx.doi.org/10.3390/s22010176.

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Regarding the ice periods of the Yellow River, it is difficult to obtain ice data information. To effectively grasp the ice evolution process in the ice periods of the typical reach of the Yellow River, a fixed-point air-coupled radar remote monitoring device is proposed in this paper. The device is mainly composed of an air-coupled radar ice thickness measurement sensor, radar water level measurement sensor, temperature measurement sensor, high-definition infrared night vision instrument, remote switch control, telemetry communication machine, solar and wind power supply, lightning protection, and slewing arm steel tower. The integrated monitoring device can monitor ice thickness, water level, air temperature, ice surface temperature, and other related parameters in real time. At present, devices have obtained the ice change process of fixed points in ice periods from 2020 to 2021. Through a comparison with manual data, the mean error of the monitoring results of the water level and ice thickness was approximately 1 cm. The device realizes the real-time monitoring of ice thickness and water level change in the whole cycle at the fixed position. Through video monitoring, it can take pictures and videos regularly and realize the connection between the visual river and monitoring data. The research results provide a new model and new technology for hydrological monitoring in the ice periods of the Yellow River, which has broad application prospects.
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32

Ascari, Luca, Anna Marchenkova, Andrea Bellotti, Stefano Lai, Lucia Moro, Konstantin Koshmak, Alice Mantoan, et al. "Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies." Sensors 21, no. 24 (December 7, 2021): 8167. http://dx.doi.org/10.3390/s21248167.

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Nowadays, the growing interest in gathering physiological data and human behavior in everyday life scenarios is paralleled by an increase in wireless devices recording brain and body signals. However, the technical issues that characterize these solutions often limit the full brain-related assessments in real-life scenarios. Here we introduce the Biohub platform, a hardware/software (HW/SW) integrated wearable system for multistream synchronized acquisitions. This system consists of off-the-shelf hardware and state-of-art open-source software components, which are highly integrated into a high-tech low-cost solution, complete, yet easy to use outside conventional labs. It flexibly cooperates with several devices, regardless of the manufacturer, and overcomes the possibly limited resources of recording devices. The Biohub was validated through the characterization of the quality of (i) multistream synchronization, (ii) in-lab electroencephalographic (EEG) recordings compared with a medical-grade high-density device, and (iii) a Brain-Computer-Interface (BCI) in a real driving condition. Results show that this system can reliably acquire multiple data streams with high time accuracy and record standard quality EEG signals, becoming a valid device to be used for advanced ergonomics studies such as driving, telerehabilitation, and occupational safety.
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33

Herath, H. M. K. K. M. B., S. V. A. S. H. Ariyathunge, and H. D. N. S. Priyankara. "Development of a Data Acquisition and Monitoring System Based on MODBUS RTU Communication Protocol." International Journal of Innovative Science and Research Technology 5, no. 6 (June 28, 2020): 433–40. http://dx.doi.org/10.38124/ijisrt20jun479.

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MODBUS is a serial communication protocol use in industry, which developed by Modicon in 1979. The most common usage of the MODBUS communication protocol is the Programmable Logic Controllers (PLC). The aim of this study is to develop a system for acquiring and analyze measured values from the power measuring device and display them on C# developed GUI. The main objective is to develop an algorithm for MODBUS RTU communication protocol for data acquisition process. In this study, a single power measuring device was used with the aid of MODBUS RTU and RS-485 communication protocols, and data shown in the device was visualized on the C# developed GUI application and analyze them according to the user’s requirement. Data acquisitions from the holding registers were made by using the MODBUS Function Code three. The test results were observed and verified accuracy by performing several trials. Data was collected from the power measuring device which was attached to the industrial soft starter panel of a milling machine. Voltage, Current, Total Harmonic Distortion and Power Factor for each phase were retrieved to the C# devolved computer application and verify results with the real-time data of the power measuring device.
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Rahman, Mohammad Saidur, Ibrahim Khalil, Xun Yi, Mohammed Atiquzzaman, and Elisa Bertino. "A Lossless Data-Hiding based IoT Data Authenticity Model in Edge-AI for Connected Living." ACM Transactions on Internet Technology 22, no. 3 (August 31, 2022): 1–25. http://dx.doi.org/10.1145/3453171.

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Edge computing is an emerging technology for the acquisition of Internet-of-Things (IoT) data and provisioning different services in connected living. Artificial Intelligence (AI) powered edge devices (edge-AI) facilitate intelligent IoT data acquisition and services through data analytics. However, data in edge networks are prone to several security threats such as external and internal attacks and transmission errors. Attackers can inject false data during data acquisition or modify stored data in the edge data storage to hamper data analytics. Therefore, an edge-AI device must verify the authenticity of IoT data before using them in data analytics. This article presents an IoT data authenticity model in edge-AI for a connected living using data hiding techniques. Our proposed data authenticity model securely hides the data source’s identification number within IoT data before sending it to edge devices. Edge-AI devices extract hidden information for verifying data authenticity. Existing data hiding approaches for biosignal cannot reconstruct original IoT data after extracting the hidden message from it (i.e., lossy) and are not usable for IoT data authenticity. We propose the first lossless IoT data hiding technique in this article based on error-correcting codes (ECCs). We conduct several experiments to demonstrate the performance of our proposed method. Experimental results establish the lossless property of the proposed approach while maintaining other data hiding properties.
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35

Wang, Liang-Hung, Wei Zhang, Ming-Hui Guan, Su-Ya Jiang, Ming-Hui Fan, Patricia Angela R. Abu, Chiung-An Chen, and Shih-Lun Chen. "A Low-Power High-Data-Transmission Multi-Lead ECG Acquisition Sensor System." Sensors 19, no. 22 (November 16, 2019): 4996. http://dx.doi.org/10.3390/s19224996.

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This study presents a low-power multi-lead wearable electrocardiogram (ECG) signal sensor system design that can simultaneously acquire the electrocardiograms from three leads, I, II, and V1. The sensor system includes two parts, an ECG test clothing with five electrode patches and an acquisition device. Compared with the traditional 12-lead wired ECG detection instrument, which limits patient mobility and needs medical staff assistance to acquire the ECG signal, the proposed vest-type ECG acquisition system is very comfortable and easy to use by patients themselves anytime and anywhere, especially for the elderly. The proposed study incorporates three methods to reduce the power consumption of the system by optimizing the micro control unit (MCU) working mode, adjusting the radio frequency (RF) parameters, and compressing the transmitted data. In addition, Huffman lossless coding is used to compress the transmitted data in order to increase the sampling rate of the acquisition system. It makes the whole system operate continuously for a long period of time and acquire abundant ECG information, which is helpful for clinical diagnosis. Finally, a series of tests were performed on the designed wearable ECG device. The results have demonstrated that the multi-lead wearable ECG device can collect, process, and transmit ECG data through Bluetooth technology. The ECG waveforms collected by the device are clear, complete, and can be displayed in real-time on a mobile phone. The sampling rate of the proposed wearable sensor system is 250 Hz per lead, which is dependent on the lossless compression scheme. The device achieves a compression ratio of 2.31. By implementing a low power design on the device, the resulting overall operational current of the device is reduced by 37.6% to 9.87 mA under a supply voltage of 2.1 V. The proposed vest-type multi-lead ECG acquisition device can be easily employed by medical staff for clinical diagnosis and is a suitable wearable device in monitoring and nursing the off-ward patients.
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Xiaodong, Bao, Wang Yongzhi, and Jin Liang. "Design of Three-Section Current Protection Experimental Device for Single." MATEC Web of Conferences 173 (2018): 01020. http://dx.doi.org/10.1051/matecconf/201817301020.

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Based on the design idea of microcomputer protection, a set of three-section current protection, experimental device was designed by using MCU. Using MCU as the core control of experimental device, the circuits were designed, including the passive filter, current acquisition and signal output; real-ti me, current data were collected. When the current exceeded the setting value, the three-section protection had the single hop or linkage, thereby sending out a tripping signalto the simulated circuit breaker. By testing, the device could store data such as real-time acquisition of the current, alarm, tripping and closing in local database and cloud database, and realize remote monitoring and analysis of devices through cloud service., The device basically reached the goal of laboratory experiment teaching.
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37

Rao, K. Nishanth, and N. Vasudheva Reddy. "Human Data Acquisition through Biometrics using LabVIEW." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 1 (February 1, 2017): 225. http://dx.doi.org/10.11591/ijece.v7i1.pp225-229.

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<p>Human Data Acquisition is an innovative work done based on fingerprints of a particular person. Using the fingerprints we can get each and every detail of any individual. Through this, the data acquired can be used in many applications such as Airport Security System, Voting System, and Employee login System, in finding the thieves etc. We in our project have implemented in Voting System. In this we use the components such as MyDAQ which is data acquisition device. The coding here is in done in a Graphical Programming language named LabVIEW where the execution of any program is done in a sequential way or step by step according to the data received.</p>
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38

Rymarczyk, Tomasz, Karol Duda, Paweł Rymarczyk, Daniel Olchowy, and Jan Sikora. "MEASURING DATA ACQUISITION HARDWARE FOR ELECTRICAL IMPEDANCE TOMOGRAPHY." Informatics Control Measurement in Economy and Environment Protection 7, no. 1 (March 30, 2017): 88–91. http://dx.doi.org/10.5604/01.3001.0010.4591.

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This article presents the design of the device with active electrodes to examine the flood embankment. There was discussed the method of determining the conductivity. The presented solution was based on electrical impedance tomography. There was described the concept of active electrodes and measuring equipment for data acquisition. Electrical impedance tomography, which is based on measuring potential difference, can be used to calculate conductivity. The problem depends on the fact that every material has unique conductance.
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39

Wong, Ming-Horng, Boon-Chin Yeo, Poh-Kiat Ng, and Wei-Jun Choong. "Data Acquisition System and Pattern Image Generations for Hand Grip Device." International Journal on Robotics, Automation and Sciences 3 (November 8, 2021): 13–18. http://dx.doi.org/10.33093/ijoras.2021.3.3.

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Grip pattern is essential to understand how an object being held in hand. One of the solutions is to use the pressure sensing glove to capture the gripping pressure distributed on the surface of the palm. The objective of this project is to develop a data acquisition system for a gripping device that can capture the grip patterns when a person is gripping an object. The design comprises of Velostat sheet, rows, and columns of conductive threads, that are sandwiched and layered to form a glove with pressure sensor grids. Arduino is used to generate the signals for data acquisition and interface with the MATLAB program through serial communication. On the MATLAB, the sensor data are organized and represented in hand pattern color image. Voltage Divider Rule (VDR) was used in an experiment with different resistor values and the effect of the image patterns were observed. Another experiment has been designed to find out the grip consistency. The results show that resistor values 330ohm can cause the image pattern create noises. Meanwhile, 4.7kohm resistance value is sufficient to eliminate most of the noises made in the pattern images. In this paper, different grip images can be obtained from different grip activities, such as holding toothbrush, lifting dumbbell, and pressing syringe. Future works can be done in resolution improvement and grip pattern recognition.
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40

Wali, Mousa Kathim, M. Murugappan, and R. Badlishah Ahmmad. "Development of EEG data acquisition device by using single board computer." International Journal of Medical Engineering and Informatics 5, no. 3 (2013): 191. http://dx.doi.org/10.1504/ijmei.2013.055708.

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41

RYMARCZYK, Tomasz. "A hybrid device for the acquisition of electrical tomography measurement data." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 4 (April 5, 2020): 104–7. http://dx.doi.org/10.15199/48.2020.04.21.

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42

Tsuzuki, N., H. Aoki, H. Shinohara, H. Toyama, and J. Morikawa. "Data‐acquisition system of the reversed field pinch device REPUTE‐1." Review of Scientific Instruments 59, no. 8 (August 1988): 1789–91. http://dx.doi.org/10.1063/1.1140113.

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43

Chen, Xiangqun, Rui Huang, Liman Shen, Hao chen, Dezhi Xiong, Xiangqi Xiao, Mouhai Liu, and Renheng Xu. "Design of Smart-Meter data acquisition device based on Cloud Platform." IOP Conference Series: Earth and Environmental Science 153 (May 2018): 042028. http://dx.doi.org/10.1088/1755-1315/153/4/042028.

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44

Grekhnev, A. V., E. A. Konichenko, L. D. Makeeva, and L. V. Nikitina. "A device for automatic data acquisition, processing, and storage in cardiointervalography." Biomedical Engineering 29, no. 5 (September 1995): 232–34. http://dx.doi.org/10.1007/bf00557409.

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45

Smolenic, A. V., E. Tatulescu, and V. G. Gaitan. "Developing an RFID device driver module for a data acquisition system." International Journal of Academic Research 5, no. 3 (May 20, 2013): 22–27. http://dx.doi.org/10.7813/2075-4124.2013/5-3/a.4.

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46

Agronskaia, Alexandra, Alex Florians, Kees O. van der Werf, Juleon M. Schins, Bart G. de Grooth, and Jan Greve. "Photon-counting device compatible with conventional flow cytometric data acquisition electronics." Cytometry 32, no. 3 (July 1, 1998): 255–59. http://dx.doi.org/10.1002/(sici)1097-0320(19980701)32:3<255::aid-cyto12>3.0.co;2-m.

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47

Kuncoro, C. Bambang Dwi, Win-Jet Luo, and Yean-Der Kuan. "Wireless Photoplethysmography Sensor for Continuous Blood Pressure Biosignal Shape Acquisition." Journal of Sensors 2020 (February 24, 2020): 1–9. http://dx.doi.org/10.1155/2020/7192015.

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Blood pressure assessment plays a vital role in day-to-day clinical diagnosis procedures as well as personal monitoring. Thus, blood pressure monitoring devices must afford convenience and be easy to use with no side effects on the user. This paper presents a compact, economical, power-efficient, and convenient wireless plethysmography sensor for real-time blood pressure biosignal monitoring. The proposed sensor facilitates blood pressure signal shape sensing, signal conditioning, and data conversion as well as its wireless transmission to a monitoring terminal. Received data can, subsequently, be compiled and stored on a computer via a Wi-Fi module. During monitoring, users can observe blood pressure signals being processed and displayed on the graphical user interface (GUI)—developed using a virtual instrumentation (VI) application. The proposed device comprises a finger clip optical pulse sensor, analogue signal preprocessing, microcontroller, and Wi-Fi module. It consumes approximately 500 mW power when operating in the active mode and synthesized using commercial off-the-shelf (COTS) components. Experimental results reveal that the proposed device is reliable and facilitates efficient blood pressure monitoring. The proposed wireless photoplethysmographic (PPG) sensor is a preliminary (or first) version of the intended device manifestation. It provides raw blood pressure data for further classification. Additionally, the collected data concerning the blood pressure wave shape can be easily analysed for use in other biosignal observations, interpretations, and investigations. The design approach also allows the device to be built into a wearable system for further research purposes.
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48

Li, Ruide, Guowei Wang, Wenxia Dai, Xinyu Zan, and Tiefeng Zhang. "Design of Distribution Equipment Monitoring System Based on Internet of Things and Multi-Agent." Journal of Physics: Conference Series 2093, no. 1 (November 1, 2021): 012040. http://dx.doi.org/10.1088/1742-6596/2093/1/012040.

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Abstract In order to improve distribution equipment reliability and emergency repair response speed, a distribution equipment monitoring system based on Internet of things and multi-agent is designed by building a hierarchical model. The system is based on the power Internet of things, which is divided into sensing layer, device layer and data center layer. The sensing layer realizes multi-source data acquisition through sensors and acquisition devices; the device layer deploys edge computing agents to realize device-level monitoring; and the data center layer deploys coordinating agents to realize system-level analysis. The dual-way communication is used to realize data transmission between up layer and down layer. The system has the characteristics of distribution, autonomy and multi-objective interaction, which can meet and adapt to the demand and development trend of intelligent operation and maintenance of distribution equipment.
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Cao, Rui Ying, Zhi Yuan Xue, Hong Yuan Chen, Kai Shuang, You Wen Jiang, and Ming Bo Wang. "Introduction of a Device for Automatic Collection of Potential Data and its Application in Pipeline." Advanced Materials Research 834-836 (October 2013): 1150–55. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1150.

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The pipeline cathodic protection monitoring was used in potential test of cathodic protection in pipeline. The test period was last 1 or 2 months or longer. the measurement accuracy and reliability of testing data are affected by testing environment and the accuracy of the instrument in some ways, so in order to meet the requirement of cathodic protection potential monitoring, it is necessary to design a cathodic protection potential acquisition system to realize the automatic monitoring of cathodic protection potential, the system was an automatic acquisition pipeline potential device used in buried steel pipeline environment. The internal circuits of the device used single chip design of low power consumption and are high precision DC voltage and AC voltage effective value measurement device all based on AVR MCU, combining hardware with software, the results show that the system realizes the automatic acquisition of buried pipeline potential and completes the indicators in China.
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50

Qi, Chun Qing, Ji Suo, Feng Wen Cao, and Yi Wang Wang. "Designment and Implementation on Bullet-Data-Acquisition System." Advanced Materials Research 282-283 (July 2011): 757–60. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.757.

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Measurement of bullet data is very important to the target trial. The reliable signal acquisition and analysis is the bases of the design of weapon. When the ordinary photoelectric target work, firelight or ambient light will bring an error trigger signal or cannot capture the shot off target signal. These may affect accuracy and sensitivity of the system. A system of the data acquisition and process based on PCI local bus is introduced in this paper. The device of hardware and data acquisition base on PCI local bus is in detail. Introduce how to design the PCI driver. This system has been successfully used to measure several kinds of projectiles’ velocity.
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