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Journal articles on the topic 'Intelligent Instrumentaion'

Author: Grafiati

Published: 6 September 2023

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1

Harper, A. M., and S. A. Liebman. "Intelligent instrumentation." Journal of Research of the National Bureau of Standards 90, no. 6 (1985): 453. http://dx.doi.org/10.6028/jres.090.041.

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2

Preece, C. "Intelligent Instrumentation." Electronics and Power 32, no. 3 (1986): 233. http://dx.doi.org/10.1049/ep.1986.0148.

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3

Clarke, D. W. "Intelligent instrumentation." Transactions of the Institute of Measurement and Control 22, no. 1 (2000): 3–27. http://dx.doi.org/10.1177/014233120002200102.

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4

Howell, S. K., and T. D. S. Hamilton. "Intelligent instrumentation." Measurement Science and Technology 1, no. 12 (1990): 1265–73. http://dx.doi.org/10.1088/0957-0233/1/12/001.

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5

Clarke, D. W. "Intelligent instrumentation." Transactions of the Institute of Measurement and Control 22, no. 1 (2000): 3–27. http://dx.doi.org/10.1191/014233100675191926.

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6

Jakuš, Vladimír. "Artificial Intelligence in Chemistry." Collection of Czechoslovak Chemical Communications 57, no. 12 (1992): 2413–51. http://dx.doi.org/10.1135/cccc19922413.

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The definition of artificial intelligence and the associated tasks of this branch of science are discussed. The tasks include pattern recognition, adaptation and learning, problem solving by means of expert systems or neural networks, and understanding the natural language and communication with a machine in it. The principles of problem solving are analyzed. It is demonstrated how artificial intelligence-based computer programs in which chemical expertise is encoded assist in structure elucidation, in the investigation of relations between structure and biological activity or chromatographic

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7

Beckman, R. J. "Intelligent instrumentation - Discussion." Journal of Research of the National Bureau of Standards 90, no. 6 (1985): 464. http://dx.doi.org/10.6028/jres.090.042.

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8

Kohoutek, H. J. "Intelligent instrumentation: a quality challenge." ACTA IMEKO 3, no. 1 (2014): 47. http://dx.doi.org/10.21014/acta_imeko.v3i1.195.

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<p>This is a reissue of a paper which appeared in ACTA IMEKO 1988, Proceedings of the 11th Triennial World Congress of the International Measurement Confederation (IMEKO), "Instrumentation for the 21st century", 16.-21.10.1988, Houston, pp. 337-345.</p><p>After a review and description of current trends in the design of electronic measurement and analytical instrumentation, changes in its application and use, and of associated quality issues, this paper deals with new quality issues emerging from the expected increase of artificial intelligence impact on system design and im

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9

Boettcher, J., and H. R. Traenkler. "Trends in Intelligent Instrumentation." IFAC Proceedings Volumes 22, no. 18 (1989): 241–48. http://dx.doi.org/10.1016/s1474-6670(17)52849-9.

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10

Yadova, N., and S. Osiko. "Artificial Intelligence: Application and Development Prospects on the Example of Rocket and Space Instrumentation." Scientific Research and Development. Economics of the Firm 11, no. 2 (2022): 54–59. http://dx.doi.org/10.12737/2306-627x-2022-11-2-54-59.

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The presented article deals with the implementation of artificial intelligence technologies in the instrument-making industry. The statistics of the use of systems with elements of artificial intelligence are analyzed. It presents the problems of legal regulation of artificial intelligence systems in the Russian Federation. In this regard, the purpose of the article is, on the one hand, to give the reader some information on state of intelligent systems in rocket and space instrumentation in the Russian Federation, and on the other hand, to identify the most promising areas of development in t

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11

Grabowski, D., U. Scherff, and R. Kötteritzsch. "Präzisionsmeßtechnik mit Intelligenz/ Intelligent precision measurement technology." teme 56, JG (1989): 341–47. http://dx.doi.org/10.1524/teme.1989.56.jg.341.

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12

Taner, A. H., and J. E. Brignell. "Virtual instrumentation and intelligent sensors." Sensors and Actuators A: Physical 61, no. 1-3 (1997): 427–30. http://dx.doi.org/10.1016/s0924-4247(97)80300-7.

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13

Diamond, Dermot. "Chemical sensors and intelligent instrumentation." TrAC Trends in Analytical Chemistry 8, no. 2 (1989): 58–62. http://dx.doi.org/10.1016/0165-9936(89)87019-0.

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14

Gooberman, G. "Book Review: Intelligent Instrumentation, 2nd Ed." International Journal of Electrical Engineering Education 27, no. 2 (1990): 166. http://dx.doi.org/10.1177/002072099002700213.

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15

Tortora, G. "Fault-tolerant control and intelligent instrumentation." Computing & Control Engineering Journal 13, no. 5 (2002): 259–62. http://dx.doi.org/10.1049/cce:20020507.

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16

Long, Teng, Zhangbing Zhou, Gerhard Hancke, Yang Bai, and Qi Gao. "A Review of Artificial Intelligence Technologies in Mineral Identification: Classification and Visualization." Journal of Sensor and Actuator Networks 11, no. 3 (2022): 50. http://dx.doi.org/10.3390/jsan11030050.

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Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine capable of responding in a manner similar to human intelligence. Research in this area includes robotics, language recognition, image identification, natural language processing, and expert systems. In recent years, the availability of large datasets, the development of effective algorithms, and access to powerful computers have led to unprecedented success in artificial intelligence. This powerful tool has been used in numerous scientific and en

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17

Yu, Shu Fang, Xiao Ping Shi, and Xiu Liang Huang. "Intelligent Monitoring Design and Research of Modern Instrumentation Failure Alarm." Applied Mechanics and Materials 214 (November 2012): 534–37. http://dx.doi.org/10.4028/www.scientific.net/amm.214.534.

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The instrumentation is a complexity of the whole system composed by many circuit modules. In order to achieve the detection to the entire system, when the overall system design, the designer must design circuits with judge and test methods suitable for a variety of levels in the case of considering to enables various modules carry on the wrong judgment and state test. This will provide the capabilities of intelligent monitoring and detection for the normal operation of the whole system. This paper has briefly introduced the development trends of modern instrumentation, analyzed the classificat

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18

Chen, Liang-Chia. "Technological advances in measurements and intelligent instrumentation." Measurement Science and Technology 28, no. 5 (2017): 050101. http://dx.doi.org/10.1088/1361-6501/aa6182.

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19

Kortela, U., and Y. Majanne. "Intelligent instrumentation of solid fuel power plants." IEEE Control Systems Magazine 7, no. 4 (1987): 31–35. http://dx.doi.org/10.1109/mcs.1987.1105332.

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20

Zhou, Dongdong, Ke Xu, Zhimin Lv, et al. "Intelligent Manufacturing Technology in the Steel Industry of China: A Review." Sensors 22, no. 21 (2022): 8194. http://dx.doi.org/10.3390/s22218194.

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Intelligent manufacturing, defined as the integration of manufacturing with modern information technologies such as 5G, digitalization, networking, and intelligence, has grown in popularity as a means of boosting the productivity, intelligence, and flexibility of traditional manufacturing processes. The steel industry is a necessary support for modern life and economic development, and the Chinese steel industry’s capacity has expanded to roughly half of global production. However, the Chinese steel industry is now confronted with high labor costs, massive carbon emissions, a low level of inte

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21

Wang, Biyao, Yi Han, Di Tian, and Tian Guan. "Sensor-Based Environmental Perception Technology for Intelligent Vehicles." Journal of Sensors 2021 (September 2, 2021): 1–14. http://dx.doi.org/10.1155/2021/8199361.

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Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the basic guarantee of its safety and intelligence. The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. The wrong environmental perception will affect the control of the vehicle, thus causing safety risks. This paper discusses the intelligent vehicle perception technology and introduces the dev

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22

Liu, Zongwei, Wang Zhang, Hong Tan, and Fuquan Zhao. "Feature Identification, Solution Disassembly and Cost Comparison of Intelligent Driving under Different Technical Routes." Applied Sciences 13, no. 7 (2023): 4361. http://dx.doi.org/10.3390/app13074361.

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Technical route decision making of intelligent driving has always been the focus of attention of automotive enterprises and even the industry. Firstly, this study combs the main technical routes of intelligent driving at different levels from three dimensions: development strategy, intelligence allocation and sensor combination. Then, the methodology of technical component combination is designed to disassemble different technical routes into corresponding technical component combinations. Finally, an improved evaluation model of total cost of ownership of intelligent driving is developed and

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23

Timmerman, B. H., and P. J. Bryanston-Cross. "Intelligent optical diagnostic instrumentation for combustion and medicine." Computing & Control Engineering Journal 13, no. 5 (2002): 231–36. http://dx.doi.org/10.1049/cce:20020502.

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24

Shan, De Shan, Peng Yan, and Zhen Hua Wang. "Intelligent Health Monitoring System for a Railway Cable-Stayed Bridge." Advanced Materials Research 148-149 (October 2010): 1390–93. http://dx.doi.org/10.4028/www.scientific.net/amr.148-149.1390.

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Intelligent health monitoring system of the long-span railway cable-stayed bridge requires the comprehensive knowledge of instrumentation, analytical and information processing technologies with the knowledge and experiences in design, construction, operation and maintenance of railway cable-stayed bridge for long-term monitoring the performance throughout its lifecycle. It is necessary to perform sensor-based structural monitoring for identifying the bridge conditions in order to assure the structural safety and to evaluate the operational performance. The considerations for deploying a prope

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25

Saghiri, Ali Mohammad, S. Mehdi Vahidipour, Mohammad Reza Jabbarpour, Mehdi Sookhak, and Agostino Forestiero. "A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions." Applied Sciences 12, no. 8 (2022): 4054. http://dx.doi.org/10.3390/app12084054.

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In recent years, artificial intelligence has had a tremendous impact on every field, and several definitions of its different types have been provided. In the literature, most articles focus on the extraordinary capabilities of artificial intelligence. Recently, some challenges such as security, safety, fairness, robustness, and energy consumption have been reported during the development of intelligent systems. As the usage of intelligent systems increases, the number of new challenges increases. Obviously, during the evolution of artificial narrow intelligence to artificial super intelligenc

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26

Wu, Suzhen. "Design of Intelligent Nursing System Based on Artificial Intelligence." Journal of Sensors 2022 (August 21, 2022): 1–5. http://dx.doi.org/10.1155/2022/7427968.

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As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: v

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27

Naghshvarianjahromi, Mahdi, Shiva Kumar, and Mohammed Jamal Deen. "Natural Intelligence as the Brain of Intelligent Systems." Sensors 23, no. 5 (2023): 2859. http://dx.doi.org/10.3390/s23052859.

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This article discusses the concept and applications of cognitive dynamic systems (CDS), which are a type of intelligent system inspired by the brain. There are two branches of CDS, one for linear and Gaussian environments (LGEs), such as cognitive radio and cognitive radar, and another one for non-Gaussian and nonlinear environments (NGNLEs), such as cyber processing in smart systems. Both branches use the same principle, called the perception action cycle (PAC), to make decisions. The focus of this review is on the applications of CDS, including cognitive radios, cognitive radar, cognitive co

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28

Chi, Duan, Wang Zhi, Hao Luo, Feng Li, and Lianzhong Sun. "Embedded AI system for interactive vision screen based on human action recognition." Review of Scientific Instruments 93, no. 5 (2022): 054104. http://dx.doi.org/10.1063/5.0076398.

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In recent years, vision screening has emerged globally for employment (on a yearly basis) within primary and high schools since myopia heavily affects school-aged children. However, this is a laborious and time-consuming task. This article proposes an intelligent system for “self-service” vision screening. Individuals can accomplish this task independently—without any assistance by technical staff. The technical solution involved within this platform is human action recognition realized by pose estimation (real-time human joint localization in images, including detection, association, and trac

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29

Oduoza, C. F., P. R. Fielden, and R. M. Miller. "Design of an intelligent electrochemical system using cybernetic instrumentation." Laboratory Automation & Information Management 32, no. 2-3 (1996): 71–85. http://dx.doi.org/10.1016/s1381-141x(96)00005-6.

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30

Jazayeri-Rad, H., and M. A. Browne. "Intelligent instrumentation for selective pulse excitation in NMR imaging." Journal of Physics E: Scientific Instruments 20, no. 6 (1987): 643–48. http://dx.doi.org/10.1088/0022-3735/20/6/014.

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31

Ullah, Muhammad Nasir, and Craig S. Levin. "Application of Artificial Intelligence in PET Instrumentation." PET Clinics 17, no. 1 (2022): 175–82. http://dx.doi.org/10.1016/j.cpet.2021.09.011.

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32

Wang, Wenli. "Research on the Architecture of Digital Song and Dance Costume Design System Based on Intelligent Deep Learning Algorithm." Journal of Sensors 2022 (February 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/1545334.

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In order to improve the intelligence and reliability of song and dance costume design, this article combines the intelligent deep learning algorithm to improve the digital costume design process. In order to solve the problem of minimizing the energy of image deformation, this paper proposes to transform it into a sparse matrix to solve the problem, which is solved by constructing a coefficient matrix and multiple iterations. After the algorithm is improved, this article combines the digital intelligence method to construct the digital song and dance costume design system structure based on th

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33

Sensors, Journal of. "Retracted: Design of Intelligent Nursing System Based on Artificial Intelligence." Journal of Sensors 2023 (August 9, 2023): 1. http://dx.doi.org/10.1155/2023/9872157.

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34

Fu, Jie, Qiya Gao, and Shuang Li. "Application of Intelligent Medical Sensing Technology." Biosensors 13, no. 8 (2023): 812. http://dx.doi.org/10.3390/bios13080812.

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With the popularization of intelligent sensing and the improvement of modern medical technology, intelligent medical sensing technology has emerged as the times require. This technology combines basic disciplines such as physics, mathematics, and materials with modern technologies such as semiconductors, integrated circuits, and artificial intelligence, and has become one of the most promising in the medical field. The core of intelligent medical sensor technology is to make existing medical sensors intelligent, portable, and wearable with full consideration of ergonomics and sensor power cons

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35

Furness, R. A. "Developments in Pipeline Instrumentation." Measurement and Control 20, no. 1 (1987): 7–17. http://dx.doi.org/10.1177/002029408702000102.

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Pipelines are an integral part of the world's economy and literally billions of pounds worth of fluids are moved each year in pipelines of varying lengths and diameters. As the cost of some of these fluids and the price of moving them has increased, so the need to measure the flows more accurately and control and operate the line more effectively has arisen. Instrumentation and control equipment has developed steadily in the past decade but not as fast as the computers and microprocessors that are now a part of most large scale pipeline systems. It is the interfacing of the new generation of d

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36

Jiao, Jingjie, Lixing Zhao, Wenhao Pan, and Xiaoyan Li. "Development and Core Technologies for Intelligent SWaP3 Infrared Cameras: A Comprehensive Review and Analysis." Sensors 23, no. 9 (2023): 4189. http://dx.doi.org/10.3390/s23094189.

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With the development of infrared detection and imaging technology, infrared cameras (IRCs) play an important role in many fields, such as military, industry, and civilian. Additionally, the requirements for the size, performance, and intelligence of IRCs are becoming more and more strict. Consequently, the associated research and development (R&D) of IRCs is gradually focused on the aspects of miniaturization, high performance, intelligence, low power consumption, and low cost, involving many frontier fields, including artificial intelligence, new materials, new optical systems, and electr

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37

Yang, Liping, Joshua Driscol, Sarigai Sarigai, Qiusheng Wu, Christopher D. Lippitt, and Melinda Morgan. "Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing." Sensors 22, no. 6 (2022): 2416. http://dx.doi.org/10.3390/s22062416.

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Water features (e.g., water quantity and water quality) are one of the most important environmental factors essential to improving climate-change resilience. Remote sensing (RS) technologies empowered by artificial intelligence (AI) have become one of the most demanded strategies to automating water information extraction and thus intelligent monitoring. In this article, we provide a systematic review of the literature that incorporates artificial intelligence and computer vision methods in the water resources sector with a focus on intelligent water body extraction and water quality detection

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38

Kong, Yuan, and A. P. Sakis Meliopoulos. "Intelligent merging unit: DSE-based online instrumentation channel error correction." Electric Power Systems Research 200 (November 2021): 107468. http://dx.doi.org/10.1016/j.epsr.2021.107468.

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39

Shaw, Brian M. "Book Review: Intelligent Instrumentation — Microprocessor Applications in Measurement and Control." International Journal of Electrical Engineering & Education 24, no. 1 (1987): 93. http://dx.doi.org/10.1177/002072098702400135.

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40

Sanderson, M. L. "Intelligent instrumentation—Microprocessor applications in measurement and control, 2nd Edn." Flow Measurement and Instrumentation 1, no. 1 (1989): 62. http://dx.doi.org/10.1016/0955-5986(89)90013-7.

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41

Finkelstein, L. "Intelligent and knowledge based instrumentation—An examination of basic concepts." Measurement 14, no. 1 (1994): 23–29. http://dx.doi.org/10.1016/0263-2241(94)90040-x.

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42

Zhang, Chenguang, and Kun Cheng. "Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor." Journal of Sensors 2022 (July 16, 2022): 1–7. http://dx.doi.org/10.1155/2022/6561159.

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In order to solve the problem of low accuracy of human posture recognition during motion, the author proposes a human posture recognition and detection method based on multiple sensors. The method uses acceleration sensor, angular velocity sensor, and single-chip microcomputer to collect data; uses time domain and frequency domain analysis methods to analyze the collected data; and then uses Bayesian classifier to classify and identify the current motion posture of the human body. The obtained results are as follows: in the traditional method, with the increase of subjects, the accuracy of the

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43

Lai, ZhiRong, Mingming Wang, Longhai Wang, and Yining Zhou. "Intelligent Running Posture Detection Based on Artificial Intelligence Combined with Sensor." Journal of Sensors 2022 (May 23, 2022): 1–7. http://dx.doi.org/10.1155/2022/6746260.

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In order to avoid injuries caused by incorrect running posture to a greater extent and reduce the impact on athletes’ performance and physical health, on the basis of artificial intelligence sensors, the author studies the accurate detection of intelligent running motion posture. Using artificial intelligence sensors, an adaptive error quaternion unscented Kalman filter (DAUKF) algorithm is designed. The attitude analysis and recognition system based on the inertial measurement unit can not only measure the motion information of human body but also obtain the motion characteristic data and mov

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44

Bond, Alan M., and Miroslav Švestka. "Developments, Trends and Commercial Availability of Instrumentation (Hardware and Software) in Microcomputer Based Voltammetry." Collection of Czechoslovak Chemical Communications 58, no. 12 (1993): 2769–812. http://dx.doi.org/10.1135/cccc19932769.

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Voltammetry is an important electrochemical technique which is used extensively to solve problems in many areas of chemistry. Since the method is based on the use of current-potential-time curves, voltammetric instrumentation is highly suited to computer based forms of technology. In this article, an overview of existing hardware and software that have been used to facilitate improvements in computer based voltammetric instrumentation is provided. it is concluded on the basis of this survey that developments to date in the use of computer based technology have been conservative relative to tho

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45

Kang, Sung-O., Eul-Bum Lee, and Hum-Kyung Baek. "A Digitization and Conversion Tool for Imaged Drawings to Intelligent Piping and Instrumentation Diagrams (P&ID)." Energies 12, no. 13 (2019): 2593. http://dx.doi.org/10.3390/en12132593.

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In the Fourth Industrial Revolution, artificial intelligence technology and big data science are emerging rapidly. To apply these informational technologies to the engineering industries, it is essential to digitize the data that are currently archived in image or hard-copy format. For previously created design drawings, the consistency between the design products is reduced in the digitization process, and the accuracy and reliability of estimates of the equipment and materials by the digitized drawings are remarkably low. In this paper, we propose a method and system of automatically recogni

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46

Zhu, Mingjiang. "Application of Moving Target Information Perception Technology in Intelligent Supervision System." Scanning 2022 (August 31, 2022): 1–7. http://dx.doi.org/10.1155/2022/5192601.

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In order to solve the problems of inaccurate information collection, incomplete information collection, and inconsistency of collected images in traditional sports injury collection methods, an application method of moving target information perception technology in intelligent supervision system is proposed. By judging and analyzing the potential motion damage posture of the motion posture intelligent tracking images, the collected motion intelligence tracking images are judged. The intelligent tracking image matrix can make up for the shortcomings of traditional images that are not connected

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47

Yeom, Seokwon. "Special Issue on Intelligent Processing on Image and Optical Information II." Applied Sciences 13, no. 15 (2023): 8896. http://dx.doi.org/10.3390/app13158896.

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48

Chen, Xi, Ao Yu, Ning Cai, Saite Wei, and Yongqing Tong. "Diagnostic Value of Specialist Systems in Sports Knee Injuries." Scanning 2022 (August 31, 2022): 1–7. http://dx.doi.org/10.1155/2022/1892877.

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In order to explore the diagnostic effect of the expert system in knee sports injury, a method of diagnostic value of expert system in sports knee sports injury is proposed. This paper mainly takes 200 professional football players in sports higher vocational colleges as the research object. There are 146 male athletes and 44 female athletes; we establish a football injury ontology knowledge base and use a reasoning engine to build an intelligent expert system diagnosis system, allowing users to quickly discover diseases, accurately diagnose injuries, and obtain the best means of rehabilitatio

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49

Yeom, Seokwon. "Special Issue on Intelligent Processing on Image and Optical Information III." Applied Sciences 13, no. 15 (2023): 8898. http://dx.doi.org/10.3390/app13158898.

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50

Pan, Cao, Hui Ding, and Hong Yuan Wang. "The Research and Design of Instrument Management System Based on Wireless HART Technology." Applied Mechanics and Materials 241-244 (December 2012): 2350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2350.

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This paper presents a design of instrument management systems based on the wireless HART communications technology. The whole system achieves data of intelligent HART instrumentation uploading and setting through the wireless HART communication network. Data server software parses the data according to the wireless HART data frame format, and saves data through the real-time historical database of SCADA software Force Control 6.1. Application server provides a visual user interface, completes the configuration and monitoring for the field intelligent instrument and operates easily. This system

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