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Journal articles on the topic 'Sensor-based Monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

C, Rajeswari, and Saravanan P. "Intelligent Traffic Monitoring Based on Wireless Sensor Network." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 759–61. http://dx.doi.org/10.31142/ijtsrd15943.

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2

Pragnya, K. Ranjitha, and J. Krishna Chaitanya. "Wireless Sensor Network based Healthcare Monitoring System for Homely Elders." International Journal of Advances in Engineering & Technology 6, no. 5 (2013): 2078–83. http://dx.doi.org/10.7323/ijaet/v6_iss5_14.

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3

Setchell, C., and E. L. Dagless. "Vision-based road-traffic monitoring sensor." IEE Proceedings - Vision, Image, and Signal Processing 148, no. 1 (2001): 78. http://dx.doi.org/10.1049/ip-vis:20010077.

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4

Nagai, Masahiko, Apichon Witayangkurn, Kiyoshi Honda, and Ryosuke Shibasaki. "UAV-Based Sensor Web Monitoring System." International Journal of Navigation and Observation 2012 (March 7, 2012): 1–7. http://dx.doi.org/10.1155/2012/858792.

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An unmanned aerial vehicle- (UAV-) based monitoring system is developed as an intermediate system between aerial survey and ground survey. All the measurement tools are mounted on the UAV to acquire detailed information from low altitudes which is different from a satellite or a plane. The monitoring is carried out from the sky, but the spatial and temporal resolutions are freely selected near the ground. In this study, the data is easily acquired with safety and mobility by the utilization of a sensor web. A sensor web is a type of sensor network which is well suited for environmental monitor

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5

Liu, Zhi H., Meng L. Wen, Yun Yao, Nan H. Shi, Shi Q. Liu, and Ming Qiao. "Bacteria-Based Sensor for Monitoring Glycerol." Collection of Czechoslovak Chemical Communications 64, no. 9 (1999): 1412–18. http://dx.doi.org/10.1135/cccc19991412.

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A new bacteria-based sensor for determination of glycerol was reported, in which mutant bacteria induced from the strain of Bacillus subtilis AS1.398 was used as a biocatalyst. The calibration graph of the proposed sensor was linear in the range of 1-10% (w/v) glycerol and the correlation coefficient was 0.9946. Lifetime of the sensor was more than two weeks. There was no significant interference from substances commonly coexisting in the fermentation broth except acetic acid. The sensor would be useful for monitoring glycerol during fermentation due to its linearity, selectivity, and lifetime

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6

Goel, Samir, and Tomasz Imielinski. "Prediction-based monitoring in sensor networks." ACM SIGCOMM Computer Communication Review 31, no. 5 (2001): 82–98. http://dx.doi.org/10.1145/1037107.1037117.

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7

Stroitelev, V. N., and A. Yu Kuzin. "Upgrading of sensor-based monitoring systems." Measurement Techniques 36, no. 6 (1993): 633–37. http://dx.doi.org/10.1007/bf00980003.

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8

Su, Mu-Chun, Jhih-Jie Jhang, Yi-Zeng Hsieh, et al. "Depth-Sensor-Based Monitoring of Therapeutic Exercises." Sensors 15, no. 10 (2015): 25628–47. http://dx.doi.org/10.3390/s151025628.

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9

Uhl, Tadeusz, Artur Hanc, Krzysztof Tworkowski, and Łukasz Sekiewicz. "Wireless Sensor Network Based Bridge Monitoring System." Key Engineering Materials 347 (September 2007): 499–504. http://dx.doi.org/10.4028/www.scientific.net/kem.347.499.

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This paper presented idea and implementation of efficient, reliable wireless bridge monitoring system. The system using Wireless Sensor Network to collect the related environment parameters (vibrations, temperature, humidity) and transmitting data to the main server. The system eliminates stand-alone laboratory benchtop equipment sets and cable-based, hard-wired sensor networking. Modern MEMS technology for vibrations measurement and integrated humidity/temperature sensors application for structural monitoring is presented. Data collected by the wireless monitoring system is compared to data f

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10

Khiabani, Parisa S., Alexander H. Soeriyadi, Peter J. Reece, and J. Justin Gooding. "Paper-Based Sensor for Monitoring Sun Exposure." ACS Sensors 1, no. 6 (2016): 775–80. http://dx.doi.org/10.1021/acssensors.6b00244.

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11

SONG, Kai, Haiqing WANG, Ping LI, and Zhigang FENG. "Quality Based Prioritized Sensor Fault Monitoring Methodology." Chinese Journal of Chemical Engineering 16, no. 4 (2008): 584–89. http://dx.doi.org/10.1016/s1004-9541(08)60125-1.

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12

Hoh, S. M., P. Thorpe, K. Johnston, and K. F. Martin. "Sensor Based Machine Tool Condition Monitoring System." IFAC Proceedings Volumes 21, no. 15 (1988): 103–10. http://dx.doi.org/10.1016/s1474-6670(17)54684-4.

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13

Altintas, Zeynep, Antonio Guerreiro, Sergey A. Piletsky, and Ibtisam E. Tothill. "NanoMIP based optical sensor for pharmaceuticals monitoring." Sensors and Actuators B: Chemical 213 (July 2015): 305–13. http://dx.doi.org/10.1016/j.snb.2015.02.043.

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14

Corbellini, S., E. Di Francia, S. Grassini, L. Iannucci, L. Lombardo, and M. Parvis. "Cloud based sensor network for environmental monitoring." Measurement 118 (March 2018): 354–61. http://dx.doi.org/10.1016/j.measurement.2017.09.049.

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15

Taiwo, Ambali, Sulaiman Taiwo, R. K. Z. Sahbudin, M. H. Yaacob, and M. Mokhtar. "Collimator-based sensor for remote vibration monitoring." Microwave and Optical Technology Letters 57, no. 1 (2014): 38–41. http://dx.doi.org/10.1002/mop.28768.

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16

Haxha, Shyqyri, and Jaspreet Jhoja. "Optical Based Noninvasive Glucose Monitoring Sensor Prototype." IEEE Photonics Journal 8, no. 6 (2016): 1–11. http://dx.doi.org/10.1109/jphot.2016.2616491.

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17

Devadhasan, Jasmine Pramila, and Sanghyo Kim. "Toward CMOS image sensor based glucose monitoring." Analyst 137, no. 17 (2012): 3917. http://dx.doi.org/10.1039/c2an35458f.

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18

Chen, Bo, Huimin Li, Wei Tian, and Chonggang Zhou. "PZT Based Piezoelectric Sensor for Structural Monitoring." Journal of Electronic Materials 48, no. 5 (2019): 2916–23. http://dx.doi.org/10.1007/s11664-019-07034-8.

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19

Ma, Lei, Shreyes N. Melkote, and James B. Castle. "PVDF sensor-based monitoring of milling torque." International Journal of Advanced Manufacturing Technology 70, no. 9-12 (2013): 1603–14. http://dx.doi.org/10.1007/s00170-013-5410-2.

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20

Palanisamy, Sowndarya, and Saranya N. "Sensor Based Industrial Kitchen Foodstuffs Monitoring System." International Journal of Computer Communication and Informatics 3, no. 1 (2021): 26–43. http://dx.doi.org/10.34256/ijcci2113.

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Artificial Intelligence based foodstuff monitoring system is used for inventory management in industrial kitchens, restaurants, canteens, vegetable stores and so on. If the store keeper is not available to monitor the grocery and orders, the process will be risky. The proposed method considers the level estimation detection using ultrasonic sensor and if the container is empty then the information is sent to the store keeper. By this method, the intimation about availability of specific food item can be found and items not available can be ordered for purchasing. The DHT11 sensor is used to mo

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21

Pavithra, D. M., and P. Ramchandar Rao. "Dual Sensor based Wearable Sensor Fault Detection for Reliable Medical Monitoring." International Journal of Computer Sciences and Engineering 7, no. 6 (2019): 1100–1103. http://dx.doi.org/10.26438/ijcse/v7i6.11001103.

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22

Tuna, Gurkan, Bilel Nefzi, Orhan Arkoc, and Stelios M. Potirakis. "Wireless Sensor Network-Based Water Quality Monitoring System." Key Engineering Materials 605 (April 2014): 47–50. http://dx.doi.org/10.4028/www.scientific.net/kem.605.47.

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Water is vital for both nature and human beings. The construction of dams and embankments, the irrigation practices, and the anthropogenic activities influence water quality. In order to control water quality, it is essential to understand the sources of pollutants. Water quality monitoring requires the collection of large numbers of samples and long delays until the results are available. Therefore, rapid monitoring of water quality is very important. In this respect, numerous systems exist for this kind of automatic monitoring. In this study, we propose a wireless sensor network (WSN)-based

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23

Silva, Ayrton Alexsander Monteiro, Sandro César Silveira Jucá, Leonardo Silva Costa, Paulo Mateus Moura Silva, and Renata Imaculada Soares Pereira. "Versatile IoT system for Cloud-based sensor monitoring." Journal of Mechatronics Engineering 1, no. 1 (2018): 2. http://dx.doi.org/10.21439/jme.v1i1.8.

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In this age of automation, the acquisition and monitoring of sensor data is essential to ensure the correct condition and functioning of machines and systems without the need of manual verification. This paper describes the development, assembling and configuration of a system for sensor data acquisition and Cloud-based monitoring. The acquisition system is versatile, allowing the usage from one to six sensors and the replacement of those with little additions to the code. The monitoring system has versions for PHP and Java both on Portuguese and English language. The collected data is read an

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24

Jia, Kebin, and Zhihao Wei. "Water conservancy monitoring based on visual sensor networks." International Journal of Distributed Sensor Networks 14, no. 6 (2018): 155014771877957. http://dx.doi.org/10.1177/1550147718779572.

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Aiming at the complexity of the network transmission environment and the decentralization of the monitoring sites in the middle route of the South to North Water Diversion Project, this article presents a water conservancy monitoring architecture based on the visual sensor networks. First, a network assessment method is proposed to evaluate the sensor networks condition, and the encoder is adjusted with the result of the sensor networks condition evaluation. Then, based on distributed database architecture and visualization system construction, a three-level structure of the water conservancy

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25

Manisha, Manisha, and Farminder Singh. "Measurements in Sensor Network based Oil Monitoring Control." International Journal of Computer Applications 110, no. 2 (2015): 32–36. http://dx.doi.org/10.5120/19290-0714.

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26

Younus, Muhammad, Pankaj Chakrabarty, and Mosharrafa Ahmad. "Optical Sensor based Efficient Internal Body Organ Monitoring." International Journal of Computer Applications 122, no. 11 (2015): 11–14. http://dx.doi.org/10.5120/21743-4966.

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27

Joerger, Mathieu, and Boris Pervan. "Kalman Filter-Based Integrity Monitoring Against Sensor Faults." Journal of Guidance, Control, and Dynamics 36, no. 2 (2013): 349–61. http://dx.doi.org/10.2514/1.59480.

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28

Park, Jin-Oh, Sang-Heon Park, Kyung-Soo Kim, Won-Joo Park, and Jong-Hoon Kim. "Bridge Monitoring System based on LoRa Sensor Network." Journal of the Computational Structural Engineering Institute of Korea 33, no. 2 (2020): 113–19. http://dx.doi.org/10.7734/coseik.2020.33.2.113.

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29

Donelli, Massimo. "An RFID-Based Sensor for Masonry Crack Monitoring." Sensors 18, no. 12 (2018): 4485. http://dx.doi.org/10.3390/s18124485.

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A radio frequency identifier (RFID) tag sensor for the real time monitoring of cracks in civil engineering building is presented in this work. The RFID tag is equipped with a piezoelectric sensor able to detect small movements of crack in order to prevent collapses of buildings or civil engineering structures. The information is delivered by using the modulated scattering technique (MST) which permits to obtain high operative ranges. The sensor is passive, the power supply is provided by means of a suitable rect-antenna and a Chockcroft-Walton multiplier circuit powered by means of the impingi

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30

Li, Xiaoling, and Jimin Yuan. "Mountain Landslide Monitoring Based on Wireless Sensor Network." Information Technology Journal 12, no. 15 (2013): 3357–62. http://dx.doi.org/10.3923/itj.2013.3357.3362.

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31

Yang, Xitong, Jaemyung Jang, and Hoekyung Jung. "Advanced Sensor-based Control Reagent Cabinet Monitoring System." Journal of the Korea Institute of Information and Communication Engineering 21, no. 1 (2017): 199–204. http://dx.doi.org/10.6109/jkiice.2017.21.1.199.

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32

Ong, Keat, and Craig Grimes. "A Carbon Nanotube-based Sensor for CO2 Monitoring." Sensors 1, no. 6 (2001): 193–205. http://dx.doi.org/10.3390/s10600193.

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33

Aljanaideh, Khaled F., and Dennis S. Bernstein. "Aircraft Sensor Health Monitoring Based on Transmissibility Operators." Journal of Guidance, Control, and Dynamics 38, no. 8 (2015): 1492–95. http://dx.doi.org/10.2514/1.g001125.

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34

Ganesh, Dr E. N. "IOT Based Environment Monitoring using Wireless Sensor Network." International Journal of Advanced Research 5, no. 2 (2017): 964–70. http://dx.doi.org/10.21474/ijar01/3241.

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35

Aixia, Duan, Huang Yongzhi, Duan Yanling, and Wang Qiuhong. "Thermal Sensor Boiler Monitoring based on Wireless Sensing." International Journal of Online Engineering (iJOE) 14, no. 08 (2018): 107. http://dx.doi.org/10.3991/ijoe.v14i08.9176.

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To solve the problems of traditional wiring monitoring methods, such as difficulty in wiring, high temperature, and premature aging of the lines, the development status and trend of ZigBee technology were analyzed. A ZigBee-based online gas leakage monitoring system for power plant boilers was designed to avoid gas leakage in these boilers. ZigBee short-range wireless communication technology was used instead of the wired method to complete online monitoring of power plant boilers. Results showed that the system timely monitored the gas leakage and revealed the operating status of the power pl

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36

Song, Ai Juan, and Jiang Tao Lv. "Remote Medical Monitoring Based on Wireless Sensor Network." Applied Mechanics and Materials 556-562 (May 2014): 3327–30. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3327.

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The paper deals with the monitoring system based on Zigbee wireless sensor network technique in details. The system adopts single-chipped microprocessor ZIC2410 radio frequency chip. By the upper computer software and programs of various physiological data acquisition, the physiological data of warded people, such as the pulse, blood pressure, blood oxygen saturation and electrocardiogram, are gathered by the PC software in real time, and then the collected data are transmitted to the remote medical monitoring center through the wireless sensor network. The data information of each node, inclu

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37

Wu, Shaofei, Mingqing Wang, and Yuntao Zou. "Sewage information monitoring system based on wireless sensor." DESALINATION AND WATER TREATMENT 121 (2018): 73–83. http://dx.doi.org/10.5004/dwt.2018.22362.

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38

Nuhu, B. K. "Wireless Sensor Network based Structural Health Monitoring Expert." International Journal of Wearable Device 6, no. 1 (2019): 9–16. http://dx.doi.org/10.21742/ijwd.2019.6.1.02.

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39

Tang, Lei, Yong Zhang, and Xiao Hui Ying. "Sensor-Based Real-Time Monitoring Hazardous Chemical Cargo." Applied Mechanics and Materials 484-485 (January 2014): 311–15. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.311.

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Monitoring and tracking dangerous goods can represent a great improvement in security and safety when transporting hazardous goods by water road. In this paper we propose a complete monitoring and tracking system, which is able to check at the same time the position and real-time status of dangerous goods of the ship, as well as the conditions in the cargo bay. The system exploits battery-powered environmental sensors (temperature, humidity, pressure, gas concentration and liquid level), connected by a ZigBee-based Wireless Sensor Network, This approach guarantees flexibility, ease of deployme

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40

Novikov, S., N. Lebedeva, A. Satrapinski, J. Walden, V. Davydov, and A. Lebedev. "Graphene based sensor for environmental monitoring of NO2." Sensors and Actuators B: Chemical 236 (November 2016): 1054–60. http://dx.doi.org/10.1016/j.snb.2016.05.114.

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41

Hussien, Anas Ali, and Ali Hameed Tawfeeq. "ZigBee-Based Wireless Sensor Network for Temperature Monitoring." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 10 (2013): 2062–70. http://dx.doi.org/10.24297/ijct.v10i10.1201.

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The proposed system in this paper describes the design and implementation of a Wireless Sensor Network (WSN) based on ZigBee technology to monitor the history and current temperature information of remote locations. The system is an electronic embedded system that contains: Base Station with coordinator ZigBee, End nodes with router ZigBee, and host computer as a data base (DB) server. The base station is responsible for data collecting, a display for end node sensor readings, and TCP/IP communication with the host computer. End nodes are directly connected with sensors and transmitting the re

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42

Lee, Sang-Don. "Sensor-based Remote Monitoring for Ship Block Assembly." Journal of the Korea Contents Association 9, no. 1 (2009): 73–80. http://dx.doi.org/10.5392/jkca.2009.9.1.073.

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43

Chen, Bo, and Wenjia Liu. "A web-based structural health monitoring sensor network." International Journal of Computer Applications in Technology 44, no. 3 (2012): 188. http://dx.doi.org/10.1504/ijcat.2012.049082.

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44

Drndarevic, Vujo, and Miodrag Bolic. "Gamma Radiation Monitoring with Internet‐Based Sensor Network." Instrumentation Science & Technology 36, no. 2 (2008): 121–33. http://dx.doi.org/10.1080/10739140701850829.

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45

Herle, S., R. Becker, and J. Blankenbach. "Smart sensor-based geospatial architecture for dike monitoring." IOP Conference Series: Earth and Environmental Science 34 (April 2016): 012014. http://dx.doi.org/10.1088/1755-1315/34/1/012014.

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46

Kim, Jung-Yee. "Real-Time Sensor Monitoring Service based on ECA." Journal of Korea Multimedia Society 15, no. 1 (2012): 87–92. http://dx.doi.org/10.9717/kmms.2012.15.1.087.

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47

TSUNO, Kiwamu, and Ryo HIRATA. "Tunnel Monitoring Method Based on Wireless Sensor Network." Quarterly Report of RTRI 55, no. 1 (2014): 27–32. http://dx.doi.org/10.2219/rtriqr.55.27.

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48

Krehel, Marek, Michel Schmid, René Rossi, Luciano Boesel, Gian-Luca Bona, and Lukas Scherer. "An Optical Fibre-Based Sensor for Respiratory Monitoring." Sensors 14, no. 7 (2014): 13088–101. http://dx.doi.org/10.3390/s140713088.

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49

AJadhav, Snehal. "Wireless Sensor Network Based Monitoring System For Forest." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 3 (2015): 1733–38. http://dx.doi.org/10.17762/ijritcc2321-8169.1503183.

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50

Zhang, Chen, Hao Yan, Seungho Lee, and Jianjun Shi. "Multiple profiles sensor-based monitoring and anomaly detection." Journal of Quality Technology 50, no. 4 (2018): 344–62. http://dx.doi.org/10.1080/00224065.2018.1508275.

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