Relevant bibliographies by topics / Trend monitoring systém

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Trend monitoring systém'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Trend monitoring systém"

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Svoboda, Jan. "Evaluation of the air quality at the two monitoring sities in Brno related to the synoptic situation." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 53, no. 4 (2005): 139–44. http://dx.doi.org/10.11118/actaun200553040139.

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The main objective of this work was to evaluate influnce of transportation on the air quality using IAQ (index of air quality). The data from one of the AIM station were evaluated. The trend in air quality development in years 1996–2003 was described. In days with adverse IAQ values the probable cause of the phenomenon was determined. It is obvious that adverse IAQ values were recorded during these synoptic situations: centre anticyklone, wedge of high pressure, weak pressure field and warm sector of front systém. The most frequent was the centre anticyklone synoptic situation which is typical (mainly during winter) by air temperature inversion.
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Hegazy, Ibrahim Rizk, and Mansour Rifaat Helmi. "Spatial monitoring of urban growth of Mansoura City, Egypt." International Journal of Low-Carbon Technologies 15, no. 4 (May 3, 2020): 536–42. http://dx.doi.org/10.1093/ijlct/ctaa021.

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Abstract Urbanization is a global trend determined primarily by excessive population growth, particularly in the developing countries such as Egypt. The configuration and boundaries of urbanization and their model can be observed at a distance of space and time. In this research, geographic information system and remote sensing were used to analyze urbanization and trends in the past 30 years of Mansoura City, which is one of the largest medium-sized cities in Egypt. Four Landsat images, obtained in 1985, 1995, 2005 and 2015, were adjusted and compared using the ArcGIS software. The classified images were analyzed to determine urbanization trends in Mansoura city during the three periods 1985–1995, 1995–2005 and 2005–2015. The results of the change disclosure showed areas and trends in urbanization. The urban area has grown by approximately five times over 30 years. The results showed that the eastern direction was predominant during the periods (1985–1995) and (1995–2005) with 53 and 53% of the city total growth, respectively. During the period (2005–2015), the northern trend was dominant with 38% of the city total growth. This research promotes future urban planning strategies by evaluating temporal spatial transformation and urbanization trends.
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Paudel, Bhanu, and Lori M. Brown. "Temporal Changes in Delaware Waters Using Long-Term (1967–2019) Water Temperature Data." Data 6, no. 8 (July 24, 2021): 79. http://dx.doi.org/10.3390/data6080079.

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The present article provides long-term (1967–2019) water temperature data collected from Delaware water quality monitoring sites. In Delaware, there are approximately 140 water quality monitoring sites in Piedmont, Delaware Bay, Chesapeake Bay, and Inland Bay drainage basins. Long-term quarterly (i.e., four times a year: Q1—January–February–March; Q2—April–May–June; Q3—July–August–September; Q4—October–November–December) water temperature data were calculated from each water quality monitoring sites’ continuous monthly data. This study focuses on water quality monitoring sites with significant (p-value identifying linear regression model) increasing or decreasing trends of water temperature. Quarterly water temperature data, statistical analysis, and maps showing increasing and decreasing trend from water quality monitoring sites with significant trends are presented in this article.
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Chudzikiewicz, Andrzej, Anna Stelmach, and Wojciech Wawrzyński. "Selection of signal registration points in the monitoring process and diagnosing the condition of the rail vehicle." Journal of Civil Engineering and Transport 1, no. 1 (December 31, 2019): 7–13. http://dx.doi.org/10.24136/tren.2019.001.

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The article discusses the process of selecting points on a rail vehicle in which sensors recording signals will be located, with a view to their later use in the process of monitoring the condition of the vehicle and in particular elements of the first and second degree suspension system. The number of such points and their location is significant considering the complexity of the monitoring system and thus the costs of its construction and subsequent operation, as well as the possibility of using registered signals in the process of diagnosing the technical condition of the vehicle, bearing in mind the functioning of such a system in on-line mode.
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Pu, Fangling, Zhaozhuo Xu, Hongyu Chen, Xin Xu, and Nengcheng Chen. "A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series." Journal of Sensors 2018 (June 6, 2018): 1–11. http://dx.doi.org/10.1155/2018/3054295.

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Landslides endanger regular industrial production and human safety. Displacement trend analysis gives us an explicit way to observe and forecast landslides. Although satellite-borne remote sensing methods such as synthetic aperture radar have gradually replaced manual measurement in detecting deformation trends, they fail to observe displacement in a north-south direction. Wireless low-cost GPS sensors have been developed to assist remote sensing methods in north-south deformation monitoring because of their high temporal resolution and wide usage. In our paper, a DLM-LSTM framework is developed to extract and predict north-south land deformation trends from meter accuracy GPS receivers. A dynamic linear model is introduced to model the relation between measurement and the state vector, including the trend, periodic variation, and autoregressive factors in a discontinuous low-cost latitude time series. The deformation trend with submeter-level accuracy is extracted by a Kalman filter and smoother. With validated input as in previous work, the power of an LSTM network is also shown in its ability to predict deformation trends in submeter-level accuracy. A submeter-level deformation trend is detected from wireless low-cost GPS sensors with meter-level navigation error. The framework will have broad application prospects in geological disaster monitoring.
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Łukasik, Zbigniew, and Anton Ushakov. "Concept «Smart freight wagon»." Journal of Civil Engineering and Transport 2, no. 1 (March 31, 2020): 19–33. http://dx.doi.org/10.24136/tren.2020.002.

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This article discusses the prospects for the implementation of the concept «Smart freight wagon» on the Russian railways. The article discusses a concept for developing in Russia a system for monitoring the operating conditions of rolling stock and transmitting telemetry data on the state of infrastructure under the design names «Smart freight wagon. Also, authors offer the author’s concept of this system improvements based on openHAB smart system model which helps to make the modular system in order to increase fault tolerance and flexibly adapt to the needs of specific customers.
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Lee, Hyun-Woo. "Technical Trend Analysis of a Fault Monitoring System." Journal of Engineering Geology 21, no. 1 (March 31, 2011): 87–95. http://dx.doi.org/10.9720/kseg.2011.21.1.087.

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Li, Wen Xing, and Meng Jia. "Vibration Monitoring System Design." Advanced Materials Research 1027 (October 2014): 325–30. http://dx.doi.org/10.4028/www.scientific.net/amr.1027.325.

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Along with the computer software technology, the virtual instrument is gradually become the development direction of the test area. The realizing vibration test which is analyzed by adopting the virtual instrument has become the development trend of vibration test. It firstly introduces relevant simulation technology theory, the principle of fault diagnosis, the significance and the development present situation. Then according to the research for the development current situation of condition monitoring and fault diagnosis at home and abroad, it puts forward the vibration test analysis system composed the necessary sensors, signal disposal device and data acquisition card. At last it uses labwindows software produced in NI to do the development platform.
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Chang, Hui-Kuo, Hsing-Chia Kuo, and Yen-Zen Wang. "Novel Grey Model for Diesel Engine Oil Monitoring." Journal of Ship Research 50, no. 01 (March 1, 2006): 31–37. http://dx.doi.org/10.5957/jsr.2006.50.1.31.

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Electronic sensors and data processing systems are increasingly integrated with mechanical systems for continuous condition monitoring and early warning of pending failure. Various predictive algorithms have been applied to sensor data trends. Traditional grey algorithms have been highly useful for data trend prediction but suffer from serious overshoot at inflection points when applied to fluctuating data curves, that is, curves that cannot be accurately represented by a single grey exponential equation. This paper therefore presents an improved grey model (GM), a two-section residual grey model (2S-RGM), and demonstrates 2S-RGM by applying it to data trends in a marine engine oil quality monitoring system. 2S-RGM constantly evaluates data trends and seeks inflection points at which the curve is broken into separate sections, each being treated by an independent GM. 2S-RGM is tested using two sets of published marine diesel engine oil data, one ferrographic and one spectroscopic. Predictive results of 2S-RGM are compared to results of the same data sets applied to six other well-known predictive methodologies. It is demonstrated that 2S-RGM is significantly more accurate, with the additional benefit of avoiding the setup costs of earlier artificial-intelligence-based GM improvements.
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Shi, Xiao Yan, Hong Bao Ye, Dong Li, and Zhi Fu Xu. "Development and Trend of Intelligent Monitoring System for Greenhouse." Advanced Materials Research 1030-1032 (September 2014): 1475–79. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1475.

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Intelligent greenhouse cultivation and management is one of the most important technologies for continuous production of agricultural products. This article deals with the development history, status, key technologies and trend of greenhouse intelligent monitoring system£¬ makes analysis on the existent problems and developing trend so as to provide reference for the growth of China's facility agriculture intellectualization£®
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Dissertations / Theses on the topic "Trend monitoring systém"

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Vráblíková, Lucie. "Využití dat z flight data recordéru pro podporu údržby letounu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443885.

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This diploma thesis deals with analysis of existing solutions for collecting maintenance data and technical condition of the aircraft. Based on this analysis, it proposes a trend monitoring system based on the existing structure and data from the flight data recorder.
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Strudwick, Scott David. "A trend analysis expert system for the remote condition monitoring of diesel generators." Thesis, University of Greenwich, 1993. http://gala.gre.ac.uk/8704/.

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Mfenyana, Sinesihle Ignetious. "Implementation of a facebook crawler for opinion monitoring and trend analysis purposes: a case study of government service delivery in Dwesa." Thesis, University of Fort Hare, 2014. http://hdl.handle.net/10353/d1016067.

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The Internet has shifted from the Web 1.0 era to the Web 2.0 era. In the contemporary era of web 2.0, the Internet is being used to build and reflect social relationships among people who share similar interests and activities. This is done through services such as Social Networking Sites (Facebook, Twitter etc.) and the web blogs. Currently, there is a very high usage of Social Networking Sites (SNSs) and blogs where people share their views, opinions, and thoughts. This leads to the production of a lot of data by people who post such content on SNSs. As a result, SNSs and blogs become the ideal platforms for opinion monitoring and the trend analysis. These SNSs and Blogs could be used by service providers for tracking what the public thinks or requires. The reason being, having such knowledge can help in decision making and future planning. If service providers can keep track of such views, opinions or thoughts with regard to the services they provide, they can better their understanding about the public or clients’ needs and improve the provision of relevant services. This research project presents a system prototype for performing opinion monitoring and trend analysis on Facebook. The proposed system crawl Facebook, indexes the data and provides user interface (UI) where end users can search and see the trending of a topics of their choice. The system prototype could also be used to check the trending topics without having to search. The main objective of this research project was to develop a framework that will contribute in improving the way government officials, companies or any service providers and normal citizens communicate regarding services they provide. This research project is premised on the conceptualization that if the government officials, companies or any service providers can keep track of the citizen’s opinions, views and thoughts with regards to services they provide it can help improve the delivery of such services. This research and the implementation of the trend analysis tool is undertaken in the context of the Siyakhula Living Lab (SLL), an Information and Communication Technologies for Development (ICTD) intervention for Dwesa marginalized community.
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Wen-Sen, Chen, and 陳文深. "Vessel Monitoring System and Fisheries Management：A Study of International Trends, Practices of States and RFMOs, and Taiwan’s Policy." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/88071764387985997759.

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碩士
國立海洋大學
應用經濟研究所
91
This study focuses on regulations of vessel monitoring system (VMS) and the development of VMS technology. Through the discoveries of the study, it is hoped that the local management system of VMS could have a connection to international fisheries management and develop in accordance with it. International fisheries organizations are authorized by international conventions and agreements with the rights of conservation, management and trade sanctions, and they practically enforce these rights through monitoring, control and surveillance measures. VMS is able to provide near real-time vessel position and catch information; hence, in the near future, main commercial fisheries will be required to install VMS on the vessels. International fisheries laws related have already requested flag states to develop appropriate VMS and their fishing vessels are supposed to install VMS according to the rules set by flag states. To ensure the practice of fisheries resources reservation, coastal states can also ask foreign fishing vessels operating in their Exclusive Economic Zone or territorial seas to be equipped with VMS. Moreover, if fishing vessels entering port states with VMS, it is helpful for the port states to get aboard the vessels for inspection. Therefore, it is expected that VMS will be widely used in fisheries management in the future. Our fishing vessels usually operate for a long period of time on the sea, which may extend to over one year and they use foreign ports as bases for repair. As a result, the VMS already installed is either an old version or an updated one, many of whose additional functions do not work effectively. In addition, since catch report is becoming more detailed, the software of catch report keeps changing and this causes vessel crew to spend time getting familiar with operating the software. Consequently, when planning catch report software, the government should ask experts to develop a catch report software which can be updated on-line, so as to avoid causing trouble for the crew. As to the steady catch report coming from the software of VMS, measures of procedure simplification should be taken in the future. For example, fishing vessels that report catch through VMS should be allowed not to fill out logbook, so as to encourage catch report through VMS and promote the policy of electronicalizing logbook and thereby the goals of transparent vessel operation, real-time monitoring and conservation of manpower can be reached. When it comes to the standardization of installing VMS and identification procedures, the government should set clear regulations with reference to the management of information security and confidentiality adopted by international fisheries organizations. Furthermore, speaking of the VMS frequency of vessel position report in terms of the international trend, it’s very likely to be once every 6 hour. Consequently, the fisheries industry should be informed and get themselves prepared.
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Morais, Bruno. "Emerging Technologies and Future Trends in Substation Automation Systems for the Protection, Monitoring and Control of Electrical Substations." Dissertação, 2013. http://hdl.handle.net/10216/73912.

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Morais, Bruno Tiago Pires. "Emerging technologies and future trends in substation automation systems for the protection, monitoring and control of electrical substations." Dissertação, 2013. http://hdl.handle.net/10216/72634.

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Morais, Bruno Tiago Pires. "Emerging technologies and future trends in substation automation systems for the protection, monitoring and control of electrical substations." Master's thesis, 2013. http://hdl.handle.net/10216/72634.

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Morais, Bruno Tiago Pires. "Emerging Technologies and Future Trends in Substation Automation Systems for the Protection, Monitoring and Control of Electrical Substations." Master's thesis, 2013. https://repositorio-aberto.up.pt/handle/10216/66849.

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Hamrick, Richard Graydon. "Evaluation of northern bobwhite (Colinus virginianus) population monitoring methods and population trends in agricultural systems in the Upper Coastal Plain of Georgia." 2002. http://purl.galileo.usg.edu/uga%5Fetd/hamrick%5Frichard%5Fg%5F200208%5Fms.

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Books on the topic "Trend monitoring systém"

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Hawaii. Family Health Services Division. Hawaiʻi pregnancy risk assessment monitoring system (PRAMS): Trend report 2000-2008. Honolulu: Hawaii State Dept. of Health, Family Health Services Division, 2010.

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Deraemaeker, Arnaud. New Trends in Vibration Based Structural Health Monitoring. Vienna: Springer Vienna, 2011.

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Flewwelling, P. Recent trends in monitoring control and surveillance systems for capture fisheries. Rome: Food and Agriculture Organization of the United Nations, 2003.

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Nursing into the 21st century. Springhouse, Pa: Springhouse Corp., 1996.

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Pedersen, Trond Einar, and Aris Kaloudis. Sectoral innovation systems in Europe: Monitoring, analysing trends and identifying challenges : the energy sector--final report. Oslo: NIFU STEP, 2008.

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National Seminar, Large Power Transformers - Modern Trends in Aplication, Testing, and Condition Monitoring (2002 New Delhi, India). National Seminar, Large Power Transformers - Modern Trends in Application, Testing, and Condition Monitoring, 14-15 November, 2002, New Delhi: Proceedings. Edited by Mathur G. N, Narasimhan S. L, Prasher V. K, and India. Central Board of Irrigation and Power. New Delhi: Central Board of Irrigation and Power, 2002.

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Financial Trend Monitoring System, 1987. Intl City County Management Assn, 1987.

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Lei, Yuan. Ventilator Monitoring. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0011.

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‘Ventilator Monitoring’ describes that group of functions that enables us to understand the functional status of a ventilator system and the ventilated patient. This chapter begins by introducing general monitoring concepts, describing the operation of the flow sensors and oxygen sensors that make the measurements, which are displayed as numerical monitoring parameters, waveforms, dynamic loops, and trend curves. The chapter details common monitoring parameters for pressure, flow, volume, time, and oxygen concentration. Examples of normal and abnormal ventilator graphics are shown. Finally, the chapter details each typical monitoring parameter and gives background information about its significance.
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Worden, Keith, and Arnaud Deraemaeker. New Trends in Vibration Based Structural Health Monitoring. Springer, 2014.

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L, Johnson Barry, Hagerty Karen H, and Long Term Resource Monitoring Program (Environmental Management Program), eds. Status and trends of selected resources of the Upper Mississippi River system: A synthesis report of the Long Term Resource Monitoring Program. La Crosse, Wis: U.S. Geological Survey, Upper Midwest Environmental Sciences Center, 2008.

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Book chapters on the topic "Trend monitoring systém"

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D’Errico, Marco, Eberhard Gill, Antonio Moccia, and Rainer Sandau. "Future Trend, Potential, Risks." In Distributed Space Missions for Earth System Monitoring, 661–67. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4541-8_23.

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Alam, Shahbaz, Chhavi Puri, Priyanshu Tyagi, Sia Saini, and Yash Kumar. "Monitoring system for health." In Recent Trends in Communication and Electronics, 251–55. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003193838-46.

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Vidhyavani, A., S. Guruprasad, M. K. Praveen Keshav, B. Pranay Keremore, and A. Koushik Gupta. "IoT Based Environment Monitoring System." In New Trends in Computational Vision and Bio-inspired Computing, 417–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41862-5_40.

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Navarro, Karla Felix, Elaine Lawrence, and John Debenham. "Intelligent Network Management for Healthcare Monitoring." In Trends in Applied Intelligent Systems, 72–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13033-5_8.

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Vidhya, R., and K. Valarmathi. "Automatic Monitoring of Hydroponics System Using IoT." In Emerging Trends in Computing and Expert Technology, 641–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32150-5_62.

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Tedeschi, F., and G. Carbone. "A Legged Robotic System for Remote Monitoring." In New Trends in Medical and Service Robots, 221–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30674-2_17.

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Lindén, Maria, Annica Kristoffersson, and Mats Björkman. "Health Trend Monitoring by Embedded Sensor Systems for Health." In 8th European Medical and Biological Engineering Conference, 607–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64610-3_68.

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Christina Jeya Prabha, P., P. Abinaya, G. S. Agish Nithiya, P. Ezhil Arasi, and A. Ameelia Roseline. "Patient’s Health Monitoring System Using Internet of Things." In Emerging Trends in Computing and Expert Technology, 259–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32150-5_28.

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Sharma, Himanshu, Ananya Gupta, Anjali Sharma, and Yashika Gupta. "Vision based bridge safety monitoring system using WSN-IoT." In Recent Trends in Communication and Electronics, 381–84. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003193838-69.

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Käppel, Martin, Stefan Jablonski, and Stefan Schönig. "Cost-Sensitive Predictive Business Process Monitoring." In New Trends in Database and Information Systems, 14–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85082-1_2.

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Conference papers on the topic "Trend monitoring systém"

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Yongji Fu and H. S. Bryan. "Rapid trend detection for an ambulatory monitoring system." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090276.

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Van Hardeveld, Thomas. "An Expert System for Trend Analysis Applied to Turbomachinery." In ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/91-gt-047.

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With the advent of computerized monitoring techniques, it is becoming evident that more automated methods of trend analysis and other diagnostic techniques are both possible and necessary. The implementation of a computerized health monitoring system has led to research into techniques for identifying trend behavior which can be used to detect equipment deterioration. The result has been the development of statistical techniques to characterize generic trend behavior and of an expert system to translate these into a diagnosis of equipment deterioration.
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O'Dell, Robby. "The Gulfstream G650 Aircraft Health and Trend Monitoring System." In 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-5682.

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Starks, Scott A., and Jaime L. Mercado. "Automated system trend monitoring based on time series analysis." In Applications in Optical Science and Engineering, edited by David P. Casasent. SPIE, 1992. http://dx.doi.org/10.1117/12.131543.

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Yang, Jiangning, Buwen Yin, and Yi Fang. "Process Diagnosis and Monitoring Based on Adaptive Trend Analysis." In 2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS). IEEE, 2011. http://dx.doi.org/10.1109/paccs.2011.5990228.

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Rohde, Ulrich L., Ajay K. Poddar, and Alexandru M. Silaghi. "Monitoring Radios: Dynamics And Emerging Trends." In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351835.

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Brennan, Feargal, and Bart de Leeuw. "The Use of Inspection and Monitoring Reliability Information in Criticality and Defect Assessments of Ship and Offshore Structures." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57934.

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This paper describes the use of inspection reliability information in fitness-for-service and criticality assessments for ship and offshore structures. Assessments of components that have never been inspected should assume a defect distribution from manufacturing quality assurance reports taking into account any propagation of damage that might have occurred. By understanding how to incorporate Probability of Detection (POD) and Probability of Sizing (POS) information with associated confidence measures into damage modelling, operators can appreciate the benefit of conducting inspections and the resulting implications for quantitative risk assessments particularly where no defects are found. The paper illustrates the use of POD and confidence levels for predicting remaining life due to corrosion and fatigue and also how to incorporate sizing statistical performance characteristics of the inspection system into remaining life assessments. In addition, the paper addresses the emerging trend towards monitoring with inspection and how operators and designers can benefit from future trends in structural health monitoring.
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Ukil, Arijit, Soma Bandyopadhyay, Chetanya Puri, and Arpan Pal. "Heart-trend: An affordable heart condition monitoring system exploiting morphological pattern." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472881.

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Kishore, K. Krishna, M. H. Sai Kumar, and M. B. S. Murthy. "Automatic plant monitoring system." In 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300802.

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Zhang, Siyu, R. Ganesan, and T. S. Sankar. "A New Approach to Machinery Monitoring and Diagnostics Using Self-Organizing Maps." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0533.

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Abstract The problem of estimating an unknown multivariate function from on-line vibration measurements, for determining the conditions of a machine system and for estimating its service life is considered. This problem is formulated into a multiple-index based trend analysis problem and the corresponding indices for trend analysis are extracted from the on-line vibration data. Selection of these indices is based on the simultaneous consideration of commonly-observed faults or malfunctions in the machine system being monitored. A neural network algorithm that has been developed by the present authors for multiple-index based regression is adapted to perform the trend analysis of a machine system. Applications of this neural network algorithm to the condition monitoring and life estimation of both a bearing system as well as a gearbox are fully demonstrated. The efficiency and computational supremacy of the new algorithm are established through comparing with the performance of Self-Organizing Mapping (SOM) and Constrained Topological Mapping (CTM) algorithms. Further, the usefulness of multiple-index based trend analysis in precisely predicting the condition and service life of a machine system is clearly demonstrated. Using on-line vibration signal to constitute the set of variables for trend analysis, and employing the newly-developed self-organizing neural algorithm for performing the trend analysis, a new approach is developed for machinery monitoring and diagnostics.
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Reports on the topic "Trend monitoring systém"

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Dodd, Hope, David Peitz, Gareth Rowell, Janice Hinsey, David Bowles, Lloyd Morrison, Michael DeBacker, Jennifer Haack-Gaynor, and Jefrey Williams. Protocol for Monitoring Fish Communities in Small Streams in the Heartland Inventory and Monitoring Network. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2284726.

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Fish communities are an important component of aquatic systems and are good bioindicators of ecosystem health. Land use changes in the Midwest have caused sedimentation, erosion, and nutrient loading that degrades and fragments habitat and impairs water quality. Because most small wadeable streams in the Heartland Inventory and Monitoring Network (HTLN) have a relatively small area of their watersheds located within park boundaries, these streams are at risk of degradation due to adjacent land use practices and other anthropogenic disturbances. Shifts in the physical and chemical properties of aquatic systems have a dramatic effect on the biotic community. The federally endangered Topeka shiner (Notropis topeka) and other native fishes have declined in population size due to habitat degradation and fragmentation in Midwest streams. By protecting portions of streams on publicly owned lands, national parks may offer refuges for threatened or endangered species and species of conservation concern, as well as other native species. This protocol describes the background, history, justification, methodology, data analysis and data management for long-term fish community monitoring of wadeable streams within nine HTLN parks: Effigy Mounds National Monument (EFMO), George Washington Carver National Monument (GWCA), Herbert Hoover National Historic Site (HEHO), Homestead National Monument of America (HOME), Hot Springs National Park (HOSP), Pea Ridge National Military Park (PERI), Pipestone National Monument (PIPE), Tallgrass Prairie National Preserve (TAPR), and Wilson's Creek national Battlefield (WICR). The objectives of this protocol are to determine the status and long-term trends in fish richness, diversity, abundance, and community composition in small wadeable streams within these nine parks and correlate the long-term community data to overall water quality and habitat condition (DeBacker et al. 2005).
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Cooper, Christopher, Jacob McDonald, and Eric Starkey. Wadeable stream habitat monitoring at Congaree National Park: 2018 baseline report. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2286621.

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The Southeast Coast Network (SECN) Wadeable Stream Habitat Monitoring Protocol collects data to give park resource managers insight into the status of and trends in stream and near-channel habitat conditions (McDonald et al. 2018a). Wadeable stream monitoring is currently implemented at the five SECN inland parks with wadeable streams. These parks include Horseshoe Bend National Military Park (HOBE), Kennesaw Mountain National Battlefield Park (KEMO), Ocmulgee Mounds National Historical Park (OCMU), Chattahoochee River National Recreation Area (CHAT), and Congaree National Park (CONG). Streams at Congaree National Park chosen for monitoring were specifically targeted for management interest (e.g., upstream development and land use change, visitor use of streams as canoe trails, and potential social walking trail erosion) or to provide a context for similar-sized stream(s) within the park or network (McDonald and Starkey 2018a). The objectives of the SECN wadeable stream habitat monitoring protocol are to: Determine status of upstream watershed characteristics (basin morphology) and trends in land cover that may affect stream habitat, Determine the status of and trends in benthic and near-channel habitat in selected wadeable stream reaches (e.g., bed sediment, geomorphic channel units, and large woody debris), Determine the status of and trends in cross-sectional morphology, longitudinal gradient, and sinuosity of selected wadeable stream reaches. Between June 11 and 14, 2018, data were collected at Congaree National Park to characterize the in-stream and near-channel habitat within stream reaches on Cedar Creek (CONG001, CONG002, and CONG003) and McKenzie Creek (CONG004). These data, along with the analysis of remotely sensed geographic information system (GIS) data, are presented in this report to describe and compare the watershed-, reach-, and transect-scale characteristics of these four stream reaches to each other and to selected similar-sized stream reaches at Ocmulgee Mounds National Historical Park, Kennesaw Mountain National Battlefield Park, and Chattahoochee National Recreation Area. Surveyed stream reaches at Congaree NP were compared to those previously surveyed in other parks in order to provide regional context and aid in interpretation of results. edar Creek’s watershed (CONG001, CONG002, and CONG003) drains nearly 200 square kilometers (77.22 square miles [mi2]) of the Congaree River Valley Terrace complex and upper Coastal Plain to the north of the park (Shelley 2007a, 2007b). Cedar Creek’s watershed has low slope and is covered mainly by forests and grasslands. Cedar Creek is designated an “Outstanding Resource Water” by the state of South Carolina (S.C. Code Regs. 61–68 [2014] and S.C. Code Regs. 61–69 [2012]) from the boundary of the park downstream to Wise Lake. Cedar Creek ‘upstream’ (CONG001) is located just downstream (south) of the park’s Bannister Bridge canoe landing, which is located off Old Bluff Road and south of the confluence with Meyers Creek. Cedar Creek ‘middle’ and Cedar Creek ‘downstream’ (CONG002 and CONG003, respectively) are located downstream of Cedar Creek ‘upstream’ where Cedar Creek flows into the relatively flat backswamp of the Congaree River flood plain. Based on the geomorphic and land cover characteristics of the watershed, monitored reaches on Cedar Creek are likely to flood often and drain slowly. Flooding is more likely at Cedar Creek ‘middle’ and Cedar Creek ‘downstream’ than at Cedar Creek ‘upstream.’ This is due to the higher (relative to CONG001) connectivity between the channels of the lower reaches and their out-of-channel areas. Based on bed sediment characteristics, the heterogeneity of geomorphic channel units (GCUs) within each reach, and the abundance of large woody debris (LWD), in-stream habitat within each of the surveyed reaches on Cedar Creek (CONG001–003) was classified as ‘fair to good.’ Although, there is extensive evidence of animal activity...
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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, May 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Financial Stability Report - First Semester of 2020. Banco de la República de Colombia, March 2021. http://dx.doi.org/10.32468/rept-estab-fin.1sem.eng-2020.

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In the face of the multiple shocks currently experienced by the domestic economy (resulting from the drop in oil prices and the appearance of a global pandemic), the Colombian financial system is in a position of sound solvency and adequate liquidity. At the same time, credit quality has been recovering and the exposure of credit institutions to firms with currency mismatches has declined relative to previous episodes of sudden drops in oil prices. These trends are reflected in the recent fading of red and blue tonalities in the performance and credit risk segments of the risk heatmaps in Graphs A and B.1 Naturally, the sudden, unanticipated change in macroeconomic conditions has caused the appearance of vulnerabilities for short-term financial stability. These vulnerabilities require close and continuous monitoring on the part of economic authorities. The main vulnerability is the response of credit and credit risk to a potential, temporarily extreme macroeconomic situation in the context of: (i) recently increased exposure of some banks to household sector, and (ii) reductions in net interest income that have led to a decline in the profitability of the banking business in the recent past. Furthermore, as a consequence of greater uncertainty and risk aversion, occasional problems may arise in the distribution of liquidity between agents and financial markets. With regards to local markets, spikes have been registered in the volatility of public and private fixed income securities in recent weeks that are consistent with the behavior of the international markets and have had a significant impact on the liquidity of those instruments (red portions in the most recent past of some market risk items on the map in Graph A). In order to adopt a forward-looking approach to those vulnerabilities, this Report presents a stress test that evaluates the resilience of credit institutions in the event of a hypothetical scenario thatseeks to simulate an extreme version of current macroeconomic conditions. The scenario assumes a hypothetical negative growth that is temporarily strong but recovers going into the middle of the coming year and has extreme effects on credit quality. The results suggest that credit institutions have the ability to withstand a significant deterioration in economic conditions in the short term. Even though there could be a strong impact on credit, liquidity, and profitability under the scenario being considered, aggregate capital ratios would probably remain at above their regulatory limits over the horizon of a year. In this context, the recent measures taken by both Banco de la República and the Office of the Financial Superintendent of Colombia that are intended to help preserve the financial stability of the Colombian economy become highly relevant. In compliance with its constitutional objectives and in coordination with the financial system’s security network, Banco de la República will continue to closely monitor the outlook for financial stability at this juncture and will make the decisions that are necessary to ensure the proper functioning of the economy, facilitate the flow of sufficient credit and liquidity resources, and further the smooth functioning of the payment system. Juan José Echavarría Governor
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