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Journal articles on the topic 'Smart data acquisition'

Author: Grafiati

Published: 3 June 2025

Last updated: 13 July 2025

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1

Eccles, Lee H. "Smart sensor bus for data acquisition." Computer Standards & Interfaces 20, no. 6-7 (1999): 418. http://dx.doi.org/10.1016/s0920-5489(99)90813-9.

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Eccles, Lee H. "Smart sensor bus for data acquisition." Computer Standards & Interfaces 21, no. 2 (1999): 121. http://dx.doi.org/10.1016/s0920-5489(99)92009-3.

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3

Dong, Li Jun, En Guo Zhu, Qian Zhang, Xuan Liu, and Yan Liu. "A New-Type Data Transmission Scheme and Key Technology of Electric Energy Data Acquisition System." Advanced Materials Research 945-949 (June 2014): 2342–48. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2342.

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Electric energy data acquisition system is the necessary requirement to construct "Marketing" infrastructure and smart grid, change the development mode of the company and grid. To solve the problems of the 230MHz wireless private network of the electric energy data acquisition system, such as low communication rate, fewer access points, low acquisition success rate and poor real-time performance, a new-type data transmission scheme of electric energy data acquisition system is proposed. The key technologies, such as carrier aggregation, software radio, multi-antenna, networking, OFDM, safeguard and other technologies, are discussed. The new-type communication technology based on SGWM in the electric energy data acquisition system is elaborated. The experimental results show that the field application effect of the new-type 230MHz communication key technology based on SGWM in the electric energy data acquisition system is improve the interactivity, real-time instantaneity, reliability of smart grid.. Thus it provides technical support for the popularization of the information bidirectional interaction and construction of smart grid.

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KANEDA, Toshio, Yasushi SATO, and Kiyoshi IOI. "Calibration of "Smart Pointer" for Positional Data Acquisition." Proceedings of the JSME annual meeting 2003.5 (2003): 227–28. http://dx.doi.org/10.1299/jsmemecjo.2003.5.0_227.

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5

Kirianaki, N. V., S. Y. Yurish, N. O. Shpak, and V. P. Deynega. "Data Acquisition and Signal Processing for Smart Sensors." Measurement Science and Technology 13, no. 9 (2002): 1501. http://dx.doi.org/10.1088/0957-0233/13/9/706.

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6

Pooters, Ivo. "Full user data acquisition from Symbian smart phones." Digital Investigation 6, no. 3-4 (2010): 125–35. http://dx.doi.org/10.1016/j.diin.2010.01.001.

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MIYOSHI, Shinya, Yasushi SATO, Kiyoshi IOI, Yoshiharu SUGIYAMA, Kenji YUUKI, and Takao MORI. "Experiment of Positional Data Acquisition Using "Smart Pointer"." Proceedings of Conference of Chugoku-Shikoku Branch 2004.42 (2004): 217–18. http://dx.doi.org/10.1299/jsmecs.2004.42.217.

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Ambuj, Kumar Mishra, Kiran M., Manjunath, C. Meghavardhana, and Arpitha Raju Dr. "Data Acquisition of Smart energy meter Using IOT." Journal of Emerging Trends in Electrical Engineering 5, no. 1 (2023): 33–37. https://doi.org/10.5281/zenodo.7866228.

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<em>Earlier electrical reader has to visit particular and individual houses for recording of the electricity consumption details but due to advent of IOT and wireless system now we can bring out the big difference. We have to use Current Sensor and Voltage Sensor with Blynk application using microcontroller we can develop Smart energy metering system. This new technology can save the Money and Time. It brings out transparency in energy monitoring system. We can see the data of Voltage, Current, Power and KWH consumed in our mobile on mobile Dashboard and also on Web Dashboard. Also we can see in our Aurdino IDE too. This may help in saving the energy that can be efficient.</em>

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Bauer, Dennis, Rolf Wutzke, and Thomas Bauernhansl. "Wear@Work – A New Approach for Data Acquisition Using Wearables." Procedia CIRP 50 (August 10, 2016): 529–34. https://doi.org/10.1016/j.procir.2016.04.121.

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Smart data acquisition is an important tool for companies in international competition as it allows new ways of creating machine understandable knowledge as well as revealing unexploited optimization potential. Furthermore, the current movements in production to autonomous and decentralized intelligence are based on this acquisition of data. This paper deals with the challenge of developing a new approach for data acquisition in industrial environments, recognizing the need for a user-friendly designed system supporting the operator in his work rather than distracting him. Moreover, this gathered data is the basis for data-driven process optimization and creation of new knowledge.

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10

Conetti, S., and K. Kuchela. "A Smart Crate Controller for Fast CAMAC Data Acquisition." IEEE Transactions on Nuclear Science 32, no. 4 (1985): 1326–30. http://dx.doi.org/10.1109/tns.1985.4333603.

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11

., Saraswati Teli. "SMART REAL TIME EMBEDDED ARDUINO BASED DATA ACQUISITION SYSTEM." International Journal of Research in Engineering and Technology 04, no. 08 (2015): 258–62. http://dx.doi.org/10.15623/ijret.2015.0408045.

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Antic, Marija, Istvan Papp, Sandra Ivanovic, and Milica Matic. "Learning From Smart Home Data: Methods and Challenges of Data Acquisition and Analysis in Smart Home Solutions." IEEE Consumer Electronics Magazine 9, no. 3 (2020): 64–71. http://dx.doi.org/10.1109/mce.2019.2955150.

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Murzac, Roman, Cristian‐Vasile Doicin, and Mihaela‐Elena Ulmeanu. "Data Acquisition and Generative Design for a Smart Spinal Orthosis." Macromolecular Symposia 396, no. 1 (2021): 2000297. http://dx.doi.org/10.1002/masy.202000297.

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Guo, Hongzhi, Jiajia Liu, and Lei Zhao. "Big Data Acquisition Under Failures in FiWi Enhanced Smart Grid." IEEE Transactions on Emerging Topics in Computing 7, no. 3 (2019): 420–32. http://dx.doi.org/10.1109/tetc.2017.2675911.

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15

Okamura, H. "Fast data acquisition system for the spectrometer SMART at RIKEN." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 443, no. 1 (2000): 194–96. http://dx.doi.org/10.1016/s0168-9002(99)01002-5.

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16

Naveen, Kumar. "A Comprehensive Study of IoT Enabled Smart Grid." Indian Journal of Data Communication and Networking (IJDCN) 1, no. 2 (2023): 35–38. https://doi.org/10.54105/ijdcn.E5018.041221.

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<strong>Abstract: </strong>Systems that are used for monitoring and controlling are known as supervisory control and data acquisition systems. Not the entire control permissions, but rather the supervisory level is the primary focus of this. Several different kinds of sensors are being utilized in order to collect data in real-time. What is the Internet of Things (IoT)? It is a three-dimensional connectivity that can be used for anything, at any time, in any location. The comparison between the SCADA system and the Internet of Things is carried out in this study. In addition, this section of the study focused on the benefits of the Internet of Things (IoT) and offered some suggestions for integrating the IoT with the SCADA system.

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17

Setiawan, Ahmad Budi. "PENINGKATAN KEAMANAN SUPERVISORY CONTROL AND DATA ACQUISITION (SCADA) PADA SMART GRID SEBAGAI INFRASTRUKTUR KRITIS." Jurnal Penelitian Pos dan informatika 6, no. 1 (2016): 59. http://dx.doi.org/10.17933/jppi.2016.060104.

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<p class="Abstract"><em><span lang="EN-US">SCADA (Supervisory Control and Data Acquisition) systems as the control unit of the smart grid has been used in almost various industries around the world in terms of automation systems. Smart grid technology combines the energy infrastructure and telecommunications and Internet networks. The system provides the operational ease and efficiency in the industry. However, the system has a lot of vulnerabilities in information security aspects that can have a major impact for the industry and even the economy. This study tried to design in building a smart grid cyber security, it includes the strategies that must be done and the information security system architecture to be built. The study was conducted qualitative in-depth interviews, focus group discussions and direct observation. Results of this research is the design strategy recommendations ddalam development of smart grid cyber security. Recommendation results of this study also intended as a suggestion-making framework for smart grid cyber security as a reference implementation of the smart grid in Indonesia.</span></em></p>

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18

NR, Deepak, and Thanuja N. "Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique." International Journal of Engineering and Advanced Technology 11, no. 1 (2021): 251–56. http://dx.doi.org/10.35940/ijeat.a3187.1011121.

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The massive deployment of Internet of Things (IoT) is allowing Smart City projects and initiatives all over the world. Whereas IOT deals with intricate systems that integrates multiple disperse components towards their synergetic use. Due to resource constraints, there will be a problem in the future to provide all the services to the residents. To continue to serve and improve the standard of living of the growing population, it is necessary to develop smart cities. The Smart City aims to make optimal and sustainable use of all resources, while maintaining an appropriate balance between social, environmental and economic costs. The wireless sensors are attached to street lamp, water tank, dustbin. Sensors are then attached to Arduino microcontroller board where each and every necessary parameter for city are monitored and updated to cloud. The cloud is connected with Blynk server in turn which is connected to build in Blynk application of user's Android phone. The technology we use is IOT in this model a system of interconnected smart modules is developed where each and every parameter necessary for a city is monitored and updated to the cloud. Emphasis is given on how sensing and communication technologies of IOT can effectively be used in smart city monitoring. The project aims at developing a system which facilitates aids in collection of data with the help of interconnected modules consisting of multiple sensors useful for smart city monitoring. Further this project also includes controlling of some parameters like water, light and dust bin.

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Deepak, NR, and N. Thanuja. "Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 1 (2021): 251–56. https://doi.org/10.35940/ijeat.A3187.1011121.

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The massive deployment of Internet of Things (IoT) is allowing Smart City projects and initiatives all over the world. Whereas IOT deals with intricate systems that integrates multiple disperse components towards their synergetic use. Due to resource constraints, there will be a problem in the future to provide all the services to the residents. To continue to serve and improve the standard of living of the growing population, it is necessary to develop smart cities. The Smart City aims to make optimal and sustainable use of all resources, while maintaining an appropriate balance between social, environmental and economic costs. The wireless sensors are attached to street lamp, water tank, dustbin. Sensors are then attached to Arduino microcontroller board where each and every necessary parameter for city are monitored and updated to cloud. The cloud is connected with Blynk server in turn which is connected to build in Blynk application of user's Android phone. The technology we use is IOT in this model a system of interconnected smart modules is developed where each and every parameter necessary for a city is monitored and updated to the cloud. Emphasis is given on how sensing and communication technologies of IOT can effectively be used in smart city monitoring. The project aims at developing a system which facilitates aids in collection of data with the help of interconnected modules consisting of multiple sensors useful for smart city monitoring. Further this project also includes controlling of some parameters like water, light and dust bin.

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20

Boudaghi, Farnaz, Danial Waleed, and Luis A. Duffaut Espinosa. "Data Reconstruction Using Smart Sensor Placement." Sensors 24, no. 18 (2024): 6008. http://dx.doi.org/10.3390/s24186008.

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This paper deals with spatio-temporal field estimation with efficient sensor placement based on the QR decomposition. The proposed method also identifies the optimal number of sensors needed for field estimation that captures the most relevant features of the field of interest. To address the uncertainties inherent in spatio-temporal field estimation, a robust data-driven control method is utilized, providing resilience against unpredictable environmental and model changes. In particular, the approach uses the Kriged Kalman Filter (KKF) for uncertainty-aware field reconstruction. Unlike other reconstruction methods, the positional uncertainty originating from the data acquisition platform is integrated into the KKF estimator. Numerical results are presented to show the efficacy of the proposed dynamic sensor placement strategy together with the KKF field estimator.

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21

Naveen, Kumar, and Gopal Singh Dr. "The Performance Analysis of Optimized Integrated Framework for Smart Grid." Indian Journal of Signal Processing (IJSP) 2, no. 3 (2022): 1–4. https://doi.org/10.54105/ijsp.D1010.082322.

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<strong>Abstract:</strong> Supervisory Control and Data Acquisition system are monitoring and controlling system. It focuses on the supervisory level, not the full control permissions. It is gathering real-time data with the help of several kinds of sensors. Internet of Things (IoT) is a three-dimension any time, any place anything connectivity for anything. This paper performing the comparison between the SCADA and optimization framework for smart grid. A power quality model is integrated with the optimization framework. Moreover, this paper focused on the comparison of optimized framework with SCADA.

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22

Liu, Zixuan, Jingjing Kong, Menglong Qu, Guangxin Zhao, and Cheng Zhang. "Progress in Data Acquisition of Wearable Sensors." Biosensors 12, no. 10 (2022): 889. http://dx.doi.org/10.3390/bios12100889.

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Wearable sensors have demonstrated wide applications from medical treatment, health monitoring to real-time tracking, human-machine interface, smart home, and motion capture because of the capability of in situ and online monitoring. Data acquisition is extremely important for wearable sensors, including modules of probes, signal conditioning, and analog-to-digital conversion. However, signal conditioning, analog-to-digital conversion, and data transmission have received less attention than probes, especially flexible sensing materials, in research on wearable sensors. Here, as a supplement, this paper systematically reviews the recent progress of characteristics, applications, and optimizations of transistor amplifiers and typical filters in signal conditioning, and mainstream analog-to-digital conversion strategies. Moreover, possible research directions on the data acquisition of wearable sensors are discussed at the end of the paper.

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23

Ebrahimi, Mohmmad Sadegh, Mohammad Hossein Daraei, Jamshid Rezaei, and Ali Siahkoohi. "A Novel Utilization of Wireless Sensor Networks as Data Acquisition System in Smart Grids." Advanced Materials Research 433-440 (January 2012): 6725–30. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6725.

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In this paper, after studying the demands and requirements of a perfect smart grid and specifications of network topology and sensor nodes utilized in a Wireless Sensor Network [WSN], a manipulated version of them is proposed to be combined with smart grid in order to improve the data acquisition step, increase the security and facilitate the process of information and desired commands from users. We will take the advantage of computer simulations to illustrate improved capacity and speed of this method. Finally, we will analyze the advantages of employing this proposed structure in a smart grid.

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Nathali Silva, Bhagya, Murad Khan, and Kijun Han. "Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making." Wireless Communications and Mobile Computing 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/9429676.

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The concept of the smart city is widely favored, as it enhances the quality of life of urban citizens, involving multiple disciplines, that is, smart community, smart transportation, smart healthcare, smart parking, and many more. Continuous growth of the complex urban networks is significantly challenged by real-time data processing and intelligent decision-making capabilities. Therefore, in this paper, we propose a smart city framework based on Big Data analytics. The proposed framework operates on three levels: (1) data generation and acquisition level collecting heterogeneous data related to city operations, (2) data management and processing level filtering, analyzing, and storing data to make decisions and events autonomously, and (3) application level initiating execution of the events corresponding to the received decisions. In order to validate the proposed architecture, we analyze a few major types of dataset based on the proposed three-level architecture. Further, we tested authentic datasets on Hadoop ecosystem to determine the threshold and the analysis shows that the proposed architecture offers useful insights into the community development authorities to improve the existing smart city architecture.

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Chen, ZhenShan, HanJun Zheng, and JinYan Lin. "Exploring Data Acquisition and Real-Time Analysis Algorithms in Smart Manufacturing with a Focus on Automation and Inspection Technologies." Scalable Computing: Practice and Experience 24, no. 4 (2023): 1169–76. http://dx.doi.org/10.12694/scpe.v24i4.2535.

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The conducted research project is based on the process followed in the smart manufacturing method. It has been observed that there are different types of methods that have been used in the smart manufacturing process and among these methods most of the methods are directly associated with different modern technology and artificial intelligence as well. Along with the inclusion of automation systems in the smart manufacturing process, the incorporation of inspection technologies is also observed in the case of performing smart manufacturing systems. In association with these, the usage of an acquisition system and real-time analysis process is also observed as well. Independent steps are present inside the phases of production process of the smart manufacturing methods. The incorporation of automation processes significantly enhances the performance of individual phases within the smart manufacturing process, thereby raising the overall production standards. Automation minimizes the likelihood of human errors, data misplacement, and mishandling. Moreover, it proves highly advantageous in the data acquisition process, ensuring error-free data transfer through automated systems.

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Maiorov, A. A., A. V. Materuhin, and I. N. Kondaurov. "Using computer clusters for processing spatial-temporal data streams in data acquisition systems." Geodesy and Cartography 935, no. 5 (2018): 54–63. http://dx.doi.org/10.22389/0016-7126-2018-935-5-54-63.

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Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

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Chen, Xiangqun, Rui Huang, Liman Shen, et al. "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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Gao, Xinghua, Pardis Pishdad-Bozorgi, Dennis R. Shelden, and Shu Tang. "Internet of Things Enabled Data Acquisition Framework for Smart Building Applications." Journal of Construction Engineering and Management 147, no. 2 (2021): 04020169. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001983.

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29

Luo, Li. "Data Acquisition and Analysis of Smart Campus Based on Wireless Sensor." Wireless Personal Communications 102, no. 4 (2018): 2897–911. http://dx.doi.org/10.1007/s11277-018-5314-4.

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Pryor, Edward, Fanis Grollio, Bart van Knippenbe, Yuchen Den, and Holger Koh. "Enabling automated cryo-EM data acquisition with Smart EPU." Acta Crystallographica Section A Foundations and Advances 79, a1 (2023): a269. http://dx.doi.org/10.1107/s2053273323097309.

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Chen, Zhi Yong, Jian Xi Gu, and Wen Xiang Bu. "Design of Wireless Power-Meter Reading Data Collector Based on CC2430." Applied Mechanics and Materials 214 (November 2012): 625–29. http://dx.doi.org/10.4028/www.scientific.net/amm.214.625.

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While large-scale smart electricity meters are going to be applied, it is difficult to solve the problem of acquisition data of smart electricity meters and in order to design a convenient installation and maintenance, low power consumption and reliable data collection terminal, a design of wireless data acquisition system base on wireless network is proposed according to the development of wireless technology. The system used CC2430 as the core controller to process power data and performs intelligent control. Using the technology of Zigbee short-range wireless communication for data transmission, the wiring complexity of the project has been reduced, the reliability of data communication has been improved, and power consumption has been reduced. The results show that the terminal is normal and reliable.

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Zhang, Chang Xu, and Li Hui Jin. "Production Line Data Acquisition and Interlock System." Applied Mechanics and Materials 310 (February 2013): 409–12. http://dx.doi.org/10.4028/www.scientific.net/amm.310.409.

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Currently, the competitiveness of enterprises is turning to a full range of competitive products, quality, cost, and services. At the same time production is gradually shifted to automation, systematic mode. In this context, the fast, accurate transfer of information within the enterprise becomes particularly important. In order to manufacture products according to customer requirements, and efficient to meet the market demand, it’s vital to collect and deliver information timely and accurately during the whole process of production. This paper presents a data acquisition and interlock system for wafer production line to achieve the comprehensive management and control of the production process of the wafer. The system uses the Internet of Things (IOT) technology, wireless self-help network connection to connect network while booting. This achieves parameter settings, data acquisition, smart management and real-time monitoring of the flow sequence control in wafer production. In addition, the Internet of Things wireless communication technology to provide greater flexibility, fluidity, eliminating the cost and effort spent on wiring, realized in the true sense of the real-time, intelligent, low-power effect.

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Fan, Han Bai, Wen Qian Kang, and Meng Xian. "Electricity Acquisition System Design Based on STM32F103." Advanced Materials Research 1049-1050 (October 2014): 638–41. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.638.

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STM32F103 microprocessor as the core, this paper introduces the research design scheme of power acquisition in the smart grid. This design can realize real-time acquisition and analysis of power, has the characteristics of high precision and little error. The power acquisition design program is also used in the chip ATT7022, simplify the design of the circuit. Chip ATT7022 collected can be voltage, current reactive power and power factor and other parameters were calculated. The microprocessor STM32F103 mainly analyze the calculation of the data. If the data is not correct, the microprocessor STM32F103 then control circuit is revised accordingly. Practice shows that the intelligent power acquisition system meet the requirements of the smart grid.

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Malehmir, A., G. Donoso, M. Markovic, et al. "Smart Exploration: from legacy data to state-of-the-art data acquisition and imaging." First Break 37, no. 8 (2019): 71–74. http://dx.doi.org/10.3997/1365-2397.n0049.

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Fu, Yuguang, Kirill Mechitov, Tu Hoang, Jong R. Kim, Deuck Hang Lee, and Billie F. Spencer. "Development and full-scale validation of high-fidelity data acquisition on a next-generation wireless smart sensor platform." Advances in Structural Engineering 22, no. 16 (2019): 3512–33. http://dx.doi.org/10.1177/1369433219866093.

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Although wireless smart sensor platforms have been available over a decade, only a limited number of full-scale wireless smart sensor–based structural health monitoring implementations have been realized. Most wireless smart sensor platforms that are validated in full-scale implementations have now become obsolete and are no longer commercially available. While wireless sensing capabilities have grown, presenting significant opportunities, obstacles to wide application of wireless smart sensor for structural health monitoring exist both in terms of hardware and software. This article assesses the efficacy of the Xnode, a new wireless platform whose development has been driven by structural health monitoring requirements, as well as lessons learned from several full-scale wireless smart sensor deployments. The capabilities of the platform are evaluated in comparison with other commercial wireless smart sensors, in terms of hardware, software, and mechanical design. Extensive laboratory and field testing is employed to validate its performance on three aspects: fidelity of data acquisition, reliability of wireless communication, and efficiency of power management. Test results demonstrate the capabilities of the Xnode to support full-scale, high-fidelity data acquisition for civil infrastructure. In addition, the new sensor platform provides several significant benefits to extend the use of wireless smart sensors to a broader class of structural health monitoring applications, such as sudden event monitoring and real-time and control applications.

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Yu, Yan Xin, and Yu Chen. "Design of High Speed Data Acquisition System Based on FPGA." Applied Mechanics and Materials 457-458 (October 2013): 878–82. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.878.

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with the rapid development of information technology, a variety of data acquisition and processing in the modern industrial control and scientific research have become an indispensable part. The data acquisition system is a bridge between the smart instruments and the outside physical world, and it is also an important way to get information. The implementation of high-speed data acquisition and real-time transmission has always been an important research direction in data acquisition system. The development of FPGA technology has provided new solution. In this paper, the typical architecture of data acquisition system was given. The hardware part mainly consists of front high-speed A/D converter module, master controller of FPGA, and USB interface circuit has been realized. According to the idea of design and the procedure of program, software part has been completed. The results show that the system has the characteristics of fast acquisition speed, high storage capacity, small transmission delay, high stability and so on.

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Kochlan, Michal, Samuel Zak, Michal Hodon, Juraj Micek, and Ondrej Karpis. "Multichannel Recorder for Low Frequency Signals: Application of Oscilloscope as Integrated Mobile Service for a Smartphone." Mobile Information Systems 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/8472063.

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Data acquisition and processing are well known for some time. Many applications use powerful hardware to acquire, process, and visualize signal waveforms. But there are some applications that do not have to perform high resolution signal acquisition and process large amount of data, for example, low frequency applications of embedded design and applications for remote power grid monitoring. The paper describes special system for low frequency signal data sample acquisition, processing, and visualization implemented as a service on Android-based smart device. The service makes smart device functioning as an oscilloscope or arbitrary waveform generator which is accessible remotely through Bluetooth. The design respects low power consumption requirements, simplicity, and user friendliness in application design. Application scenario was implemented as wireless data acquisition system for power grid monitoring.

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Maulana, Ryan, Wahyudi Wahyudi, and Muhammad Arfan. "PURWARUPA SISTEM PENGENDALIAN DAN AKUISISI DATA PADA RUMAH CERDAS BERBASIS SMARTPHONE." Transient: Jurnal Ilmiah Teknik Elektro 10, no. 4 (2021): 585–94. http://dx.doi.org/10.14710/transient.v10i4.585-594.

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Internet of Things (IoT) is the latest technology that has an extraordinary role in improving the quality of life and developing the world economy. IoT also known at community widely which is used to support global connectivity in various sectors, one of them is the smart home. Smart home is a new way in home appliances or equipment such as a lamp, air conditioner, heater and gate which is that equipment can be controlled remotely via the internet with the Human Machine Interface (HMI) system. On this final project, a prototype control and data acquisition system is designed for smart home based on smartphone. The system is designed using ATMega2560 and ESP8266 microcontrollers along with supporting sensors, while the HMI system is designed based on Android which can perform the functions of Supervisory Control and Data Acquisition (SCADA) namely measuring physical quantities (telemetering), notification of alarming systems (tele-signaling) and controlling home appliances easily and efficiently via the internet (tele-controlling). Sending and receiving data by the microcontroller to the server has an interval of 889 ms. The success rate and communication speed are influenced by internet connection and data traffic on the server. The data obtained in the telemetering system corresponds to the real situation of the smart home prototype. Tele-controlling and tele-signaling systems work well when operated.

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Carthen, Chase D., Araam Zaremehrjardi, Vinh Dac Le, et al. "A Novel Spatial Data Pipeline for Streaming Smart City Data." International Journal of Software Innovation 12, no. 1 (2024): 1–15. http://dx.doi.org/10.4018/ijsi.359180.

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Point cloud data from light detection and ranging (LiDAR) is often used for its spatial qualities, particularly in smart city projects involving vehicles and pedestrians. In this paper, the authors introduce a streaming and an on-demand pipeline for capturing LiDAR data from Velodyne Ultra Pucks placed along nine northern Nevada intersections known as the Living Lab within smart city project for the City of Reno. This pipeline is an iteration of a previously proposed pipeline with several feature enhancements. A streaming point cloud service was implemented to stream Point Cloud Data (PCD), LASzip (LAZ), and Google Draco. Also, two web services were built for the packet capture (PCAP) and ROS 2 bag files that enables acquisition of these formats for LiDAR data. A metadata service tracks edge device states and a GraphQL service interfaces with multiple services across the Living Lab. Draco provided the best processing time and had more options that affected the quality of the point cloud. To evaluate this pipeline, a discussion is provided, with an analysis of the point cloud formats.

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Liang, Yi, and Zixi Chen. "Intelligent and Real-Time Data Acquisition for Medical Monitoring in Smart Campus." IEEE Access 6 (2018): 74836–46. http://dx.doi.org/10.1109/access.2018.2883106.

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Kim, Seung Min, Jin Ho Suh, Jae Sung Im, Seong Bong Kim, and Sang Bong Kim. "A smart memory type of data acquisition system for shaft misalignment maintenance." Journal of Mechanical Science and Technology 19, no. 1 (2005): 15–27. http://dx.doi.org/10.1007/bf02916101.

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Poland, Michael P., Chris D. Nugent, Hui Wang, and Liming Chen. "Spatial-frequency data acquisition using rotational invariant pattern matching in smart environments." annals of telecommunications - annales des télécommunications 65, no. 9-10 (2010): 557–70. http://dx.doi.org/10.1007/s12243-010-0172-4.

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Lu, Rong Hua. "Research on Wireless Sensor Network Based on Data Acquisition Technology." Applied Mechanics and Materials 539 (July 2014): 243–46. http://dx.doi.org/10.4028/www.scientific.net/amm.539.243.

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In this paper we use the wireless Android smart network to control data collection network of wireless sensor networks, and establish the wireless sensor network data acquisition model based on particle swarm layout algorithm, and design the data signal receiving algorithm by introducing wireless fence monitoring method. In order to verify the reliability and applicability of the algorithm, we compare the particle swarm layout algorithm with PSO, random distribution and genetic algorithm. Through experiments, data gathering integrity of particle swarm layout algorithm reaches 96%, the time of data acquisition is 1258 seconds, the iterative number is 12587 times. It is the best of the three algorithms. It provides a theoretical reference for the research on data acquisition and control technology of wireless sensor network.

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Blanco, José Miguel, Jose M. Del Alamo, Juan C. Dueñas, and Felix Cuadrado. "A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures." Electronics 13, no. 7 (2024): 1219. http://dx.doi.org/10.3390/electronics13071219.

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The digital transformation of critical infrastructures, such as energy or water distribution systems, is essential for their smart management. Faster issue identification and smoother services enable better adaptation to consumers’ evolving demands. However, these large-scale infrastructures are often outdated. Their digital transformation is crucial to enable them to support societies. This process must be carefully planned, providing guidance that ensures that the data they rely on are dependable and that the system remains fully operational during the transition. This paper presents a formal model that supports reliable data acquisition in legacy critical infrastructures, facilitating their evolution towards a data-driven smart system. Our model provides the foundation for a flexible transformation process while generating dependable data for system management. We demonstrate the model’s applicability in a use case within the water distribution domain and discuss its benefits.

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Jiang, Jun, Huan Qu, and Shu Lin Tian. "Study on the Smart Handheld Wireless Oscilloscope." Applied Mechanics and Materials 416-417 (September 2013): 1325–30. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1325.

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As the digital acquisition system is featured by increasingly higher technical targets and more complicated applicable conditions, the traditional digital oscilloscope has become incapable of meeting the requirements of real-time processing of sampled data and waveform display on one hand, and unqualified for field test in hard risky conditions on the other. This paper aims for comprehensively enhancing the digital oscilloscopes data processing, image display, human-machine interface and portable adaptability. To that end, it approaches the system composition of improved oscilloscope, and renders a chance to wirelessly connect the oscilloscope with any of the Smart Handheld Devices with Android operation system through the added wireless data interactive channel, which forms a smart handheld wireless oscilloscope. Such oscilloscope adopts the divisional coordination between data acquisition system and Smart Handheld Device to greatly improve data processing, waveform display and HMI, and realize wireless operation of remote test as a result.

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Ye, Jiu Yan, Bin Chen, Zun Lin Ke, Jian Chen, and Yu Fang. "The Application of Big Geospatial Data in Smart Agriculture." Advanced Materials Research 955-959 (June 2014): 3835–39. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.3835.

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With the fast development of data acquisition and web transmission, the age of big geospatial data(BGD) has come. BGD will greatly change peoples’ life-style of and our society’s work mode. In agriculture field, there will also be a lot of changes brought by BGD in future. In this paper, we had a study on the processing of BGD and its application in agriculture. Firstly, we introduced BGD including its definition, value and application areas. Secondly, we summarized the research progress and key technologies of BGD processing in the cloud computing environment. Lastly, we talked about the application of BGD in agriculture industry and looked forward to its development trend.

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Wang, Yue, and Tian Jun Lu. "Application Analysis of Smart Sensor Node Based on Data Mining Association Technology." Advanced Materials Research 1078 (December 2014): 254–57. http://dx.doi.org/10.4028/www.scientific.net/amr.1078.254.

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Smart sensor has the following three advantages: realize the information acquisition of high precision and low cost, it relates to the micro mechanical and microelectronic, signal processing and computer technology. The purpose of data mining is to discover knowledge. Knowledge of association rules mining aims to find out the related information hidden in the database. The paper presents application analysis of smart sensor node based on data mining association technology. Experimental results show the proposed methodology has advantages in the management of the intelligent node.

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Kang, Inshik, Hyunok Song, and Hoekyung Jung. "User command acquisition based iot automatic control system." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 307–12. https://doi.org/10.11591/ijeecs.v13.i1.pp307-312.

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Recently, researches are being conducted to build a smart environment using various sensors and devices and to provide customized services to users through IoT (Internet of Things). The existing IoT system operates the device only by using the threshold value. So, there are problems that device operates when a service that does not consider a user characteristic is provided or when user not necessary. In this paper, to solve these problems, the system collects the remote control commands and compares it with the value of device operation threshold and sets the changed threshold value. In addition, devices not registered in the server constitute the environment by linking with existing task. Therefore, it is possible to provide a customized service to the users.

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Munir, Siraj, Syed Imran Jami, and Shaukat Wasi. "Towards the Modelling of Veillance based Citizen Profiling using Knowledge Graphs." Open Computer Science 11, no. 1 (2021): 294–304. http://dx.doi.org/10.1515/comp-2020-0209.

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Abstract In this work we have proposed a model for Citizen Profiling. It uses veillance (Surveillance and Sousveillance) for data acquisition. For representation of Citizen Profile Temporal Knowledge Graph has been used through which we can answer semantic queries. Previously, most of the work lacks representation of Citizen Profile and have used surveillance for data acquisition. Our contribution is towards enriching the data acquisition process by adding sousveillance mechanism and facilitating semantic queries through representation of Citizen Profiles using Temporal Knowledge Graphs. Our proposed solution is storage efficient as we have only stored data logs for Citizen Profiling instead of storing images, audio, and video for profiling purposes. Our proposed system can be extended to Smart City, Smart Traffic Management, Workplace profiling etc. Agent based mechanism can be used for data acquisition where each Citizen has its own agent. Another improvement can be to incorporate a decentralized version of database for maintaining Citizen profile.

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Bu, Kai, Hui Xu, Zhao Lin Sun, and Jian Bin Liu. "A High Speed and Compact Data Acquisition and Storage System." Advanced Materials Research 753-755 (August 2013): 3125–28. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.3125.

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Data acquisition and record system plays an important role in signal processing. For the wideband signal acquisition and processing application, such as 3G/4G Base Stations, Wideband Microwave Backhaul, Military Communications, and RADAR, the need for high speed and smart software-defined radio (SDR) test platform is growing. In this paper, we implement a high compact form factor data acquisition and storage system used for the wideband signal application development. In order to implement high compact, low power and high speed real-time data storage, we use a PCIe-based switch architecture and leverage the Flash array as the storage part. The system supports RF sampling directly and offers a 16TB solid state storage module which could be read and write at the sustained speed of 12.8GB/s.

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