Journal articles: 'Intelligent remote advisory systems'

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Carpenter, Chris. "Fully Automated Directional Drilling Used on the Norwegian Continental Shelf." Journal of Petroleum Technology 74, no. 10 (October 1, 2022): 74–76. http://dx.doi.org/10.2118/1022-0074-jpt.

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_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 204016, “Fully Automated Directional Drilling Is Now a Reality: An Example From the Norwegian Continental Shelf,” by Jorge Heredia, SPE, Julien Marck, SPE, and Sara Heller, Halliburton, et al. The paper has not been peer reviewed. _ This paper presents an automated directional-drilling process executed on a commercial well in the Norwegian sector of the North Sea, where an intelligent rotary-steerable system (RSS) completed a well section in a single run with all drilling commands automatically computed, optimized, and downlinked by a drilling-automation platform. The section was complex, consisting of two intervals requiring steering in three dimensions separated by a tangent section. Directional-drilling engineers onshore supervised the operation remotely. No override was required, and the automated system was able to drill the entire section while sending steering decisions automatically. Advances in Drilling Automation Two primary automation controllers that were used in recent steering-automation successes on the Norwegian Continental Shelf are discussed in the complete paper. Recent advancements in RSS technologies use downhole sensors, high-speed processors, and survey packages to provide the backbone for an autonomous downhole navigation system. This type of development enables an automated closed-loop attitude-hold feature. Once configured, the only required downlinks correct trajectory, therefore reducing the total number of downlinks required to steer per section and creating a consistent wellbore quality between wells. This system was applied during the tangent portion of the well discussed in the complete paper. A second development is that of steering automation and advisory systems for deviated steering applications. These systems respond to real-time information from surface systems, including continuous inclination and azimuth measurements from downhole sensors and surface-drilling parameters. The real-time information then is fused with a physics-based digital twin model of the bottomhole assembly (BHA) to produce a calibrated steering model. Based on this hybrid model, the system combines control and optimization algorithms to reconstruct the borehole geometry between the last-available survey and the borehole depth and then provide recommendations for steering magnitudes and direction to meet drilling objectives while accounting for safety margins and drilling constraints. Benefits of the advisory system include reducing human error by removing unnecessary intervention, and automating calculations based off continuous real-time sensor information as opposed to the conventional method of requiring manual interpretation of data. The presented results illustrate the effect of these integrated systems on the improvement of borehole quality and placement and how the controller overcomes typical field situations successfully, such as challenging formations and wellbore conditions and changes in targets and steering objectives. The drilling-automation platform allows the directional-drilling operator to remain onshore in a remote drilling center as opposed to being on the offshore platform. Previous challenges and risks associated with holding operations remotely are being left behind as Internet bandwidth increases and no requirement exists to rely simply on phone and email correspondence; instead, onshore operators can view computers and cameras located at the rigsite in real time.

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Hadden, Susan G. "Intelligent Advisory Systems for Managing and Disseminating Information." Public Administration Review 46 (November 1986): 572. http://dx.doi.org/10.2307/975579.

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Li, Manning. "Online government advisory service innovation through Intelligent Support Systems." Information & Management 48, no. 1 (January 2011): 27–36. http://dx.doi.org/10.1016/j.im.2010.12.002.

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Vladareanu, Luige. "Advanced Intelligent Control through Versatile Intelligent Portable Platforms." Sensors 20, no. 13 (June 29, 2020): 3644. http://dx.doi.org/10.3390/s20133644.

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Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research. The innovative multi-sensor fusion techniques, integrated through the Versatile Intelligent Portable (VIP) platforms are developed, combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication, including remote control, adaptive sensor networks, human-robot (H2R) interaction systems and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough sets-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision based DSS, sensory and robotic DSS, are highlighted in the field of advanced intelligent control.

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Zhang, Bing, Yuanfeng Wu, Boya Zhao, Jocelyn Chanussot, Danfeng Hong, Jing Yao, and Lianru Gao. "Progress and Challenges in Intelligent Remote Sensing Satellite Systems." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 1814–22. http://dx.doi.org/10.1109/jstars.2022.3148139.

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Cline, Lawrence. "Sharing intelligence culture." Journal of Intelligence, Conflict, and Warfare 5, no. 1 (May 31, 2022): 18–38. http://dx.doi.org/10.21810/jicw.v5i1.3818.

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United States (U.S.) civilian and military intelligence services increasingly have engaged with local intelligence services, either in an advisory role or direct coordination or liaison. In many cases, the intelligence officers have tended to try to remake the local intelligence services in the image of U.S. intelligence structures and procedures, with these efforts rather futile in most cases. One factor that has led to considerable frustration and potential failure has been a lack of understanding of the culture of local intelligence systems. Understanding both the subtleties of an area’s social norms and mores, and the bureaucratic and historical cultures of other intelligence services remain critical factors in long-term success. Using case studies of environments in which established intelligence services have worked with emergent intelligence agencies, this paper examines the requirements for incorporating both larger cultural approaches and detailed knowledge of other intelligence bureaucracies.

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Hirai, Shigeoki, and Tomomasa Sato. "Intelligent remote control of robots." Advanced Robotics 4, no. 1 (January 1989): 71–77. http://dx.doi.org/10.1163/156855390x00062.

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Wehe, D. K., J. C. Lee, W. R. Martin, R. C. Mann, W. R. Hamel, and J. Tulenko. "10. Intelligent robotics and remote systems for the nuclear industry." Nuclear Engineering and Design 113, no. 2 (April 1989): 259–67. http://dx.doi.org/10.1016/0029-5493(89)90077-0.

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Krallmann, Hermann, Hermann Többen, and Michael Eimermacher. "A smart advisory service for e-commerce applications based upon intelligent agents." Information Systems and e-Business Management 1, no. 4 (November 2003): 373–85. http://dx.doi.org/10.1007/s10257-003-0020-4.

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Gudauskas, Renaldas, Loreta Budryte, Arturas Kaklauskas, Justas Cerkauskas, Agne Kuzminske, Saule Jokubauskiene, and Vilija Targamadze. "Advisory, Negotiation and Intelligent Decision Support System for Leadership Analysis." International Journal of Computers Communications & Control 10, no. 5 (July 1, 2015): 667. http://dx.doi.org/10.15837/ijccc.2015.5.2028.

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The development of the Leader Model for quantitative and qualitative analyses began with the goal of integrating managerial, organizational, technical, technological, economic, legal/regulatory, innovative, social, cultural, ethical, psychological, religious, ethnic and other aspects involved in the process of a leaders life cycle. The need to determine the most efficient life cycle of a leader led to the development of the Advisory, Negotiation and Intelligent DEcision support System for Leadership Analysis (ANDES). The objective of the authors of this work for integrating text analytics, advisory, negotiation and decision support systems is to improve the quality and efficiency of intelligent decision-making regarding a leaders life cycle. This ANDES consists of an intelligent database, database management system, model-base, model-base management system and user interface.

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Marimuthu, Poorani, Varalakshmi Perumal, and Vaidehi Vijayakumar. "Intelligent Personalized Abnormality Detection for Remote Health Monitoring." International Journal of Intelligent Information Technologies 16, no. 2 (April 2020): 87–109. http://dx.doi.org/10.4018/ijiit.2020040105.

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Machine learning algorithms are extensively used in healthcare analytics to learn normal and abnormal patterns automatically. The detection and prediction accuracy of any machine learning model depends on many factors like ground truth instances, attribute relationships, model design, the size of the dataset, the percentage of uncertainty, the training and testing environment, etc. Prediction models in healthcare should generate a minimal false positive and false negative rate. To accomplish high classification or prediction accuracy, the screening of health status needs to be personalized rather than following general clinical practice guidelines (CPG) which fits for an average population. Hence, a personalized screening model (IPAD – Intelligent Personalized Abnormality Detection) for remote healthcare is proposed that tailored to specific individual. The severity level of the abnormal status has been derived using personalized health values and the IPAD model obtains an area under the curve (AUC) of 0.907.

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Jalooli, Ali, Erfan Shaghaghi, Mohammad Reza Jabbarpour, Rafidah Md Noor, Hwasoo Yeo, and Jason J. Jung. "Intelligent Advisory Speed Limit Dedication in Highway Using VANET." Scientific World Journal 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/629412.

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Variable speed limits (VSLs) as a mean for enhancing road traffic safety are studied for decades to modify the speed limit based on the prevailing road circumstances. In this study the pros and cons of VSL systems and their effects on traffic controlling efficiency are summarized. Despite the potential effectiveness of utilizing VSLs, we have witnessed that the effectiveness of this system is impacted by factors such as VSL control strategy used and the level of driver compliance. Hence, the proposed approach called Intelligent Advisory Speed Limit Dedication (IASLD) as the novel VSL control strategy which considers the driver compliance aims to improve the traffic flow and occupancy of vehicles in addition to amelioration of vehicle’s travel times. The IASLD provides the advisory speed limit for each vehicle exclusively based on the vehicle’s characteristics including the vehicle type, size, and safety capabilities as well as traffic and weather conditions. The proposed approach takes advantage of vehicular ad hoc network (VANET) to accelerate its performance, in the way that simulation results demonstrate the reduction of incident detection time up to 31.2% in comparison with traditional VSL strategy. The simulation results similarly indicate the improvement of traffic flow efficiency, occupancy, and travel time in different conditions.

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Zhang, Hao, and Zeyu Zhang. "Design of the Power System and Remote Control System for the Unmanned Ship." Journal of Physics: Conference Series 2121, no. 1 (November 1, 2021): 012021. http://dx.doi.org/10.1088/1742-6596/2121/1/012021.

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Abstract In lakes and reservoirs with high environmental protection requirements, it is necessary to adopt pure electric intelligent water quality monitoring ships, adopt pure electric power systems and intelligent remote control systems. This article specifically completed the design of the power system and remote control system of the smart ship, and elaborated the design method in detail. The system has the characteristics of high reliability, miniaturization, and modularization. The successful development of the system has greatly improved the intelligence of water quality monitoring ships, and has a positive effect on small intelligent ships in lakes and reservoirs.

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Chen, Jin, Yuan Peng Wan, Yao Ming Li, Li Chen Liu, Jing Li, Duan Wang, and Tong Zhu. "Design of Intelligent Control Billboards Based on MCU." Applied Mechanics and Materials 229-231 (November 2012): 2205–8. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.2205.

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With the inconvenience of the existed billboards on the market, this paper built a new kind of system made by hand-held transmitter to send remote control signals to change the ad content displayed on the billboard. Remote control device with STC89C52 microcontroller core, and display systems use the C8051F020 microcontroller to drive the integrated LCD module. The communication between the two using RS232 communication protocol to build smart billboard system. Through simulation, the design can easily achieve the function of changing the display content by intelligent remote.

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Wang, YanYan, John D. Haynes, and Carey Thaldorf. "Security risks for remote intelligent Pharmacy-on-a-Chip delivery systems." International Journal of Biomedical Engineering and Technology 2, no. 2 (2009): 135. http://dx.doi.org/10.1504/ijbet.2009.022912.

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Khalfallah, Jihen, and Jaleleddine Ben Hadj Slama. "Facial Expression Recognition for Intelligent Tutoring Systems in Remote Laboratories Platform." Procedia Computer Science 73 (2015): 274–81. http://dx.doi.org/10.1016/j.procs.2015.12.030.

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Zhao, Wangchu. "Applications of Intelligent Artificial and Communication Technologies in Intelligent Buildings." Highlights in Science, Engineering and Technology 10 (August 16, 2022): 156–62. http://dx.doi.org/10.54097/hset.v10i.1245.

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With the development of society and the progress of science and technology, more and more technologies are being applied to the intelligent building system. The study summarizes and analyzes the development status of intelligent buildings, then analyzes and generalizes the advantages, disadvantages, and applications of several artificial intelligence and communication technologies in the intelligent building system. Results show that this paper introduces the three applications of artificial intelligence systems in intelligent buildings, including expert control systems, artificial neural systems, and intelligent decision systems, as well as the application of communication technology in intelligent buildings, including virtual LAN technology, communication network technology and broadband network technology. Artificial intelligence technology can reflect the current situation of buildings to people in real-time, judge emergencies instead of experts, and make the best choice to prolong the service life and stability of buildings. Communication technology can help users realize remote offices and home offices. The application of these technologies in intelligent buildings may not be mature at this stage, but the development and application potential are still very considerable.

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Callaghan, Michael J., Jim Harkin, Thomas Martin McGinnity, and Liam P. Maguire. "Intelligent User Support in Autonomous Remote Experimentation Environments." IEEE Transactions on Industrial Electronics 55, no. 6 (June 2008): 2355–67. http://dx.doi.org/10.1109/tie.2008.922411.

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H. Ali, Mohammed, and Nisreen K. Ali. "IoT based security system and intelligent home automation multi monitoring and control systems." IAES International Journal of Robotics and Automation (IJRA) 8, no. 3 (September 1, 2019): 205. http://dx.doi.org/10.11591/ijra.v8i3.pp205-210.

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This paper presents the execution of savvy Smart Home with frameworks and propelled advances. A Home Automation System uses the technology of IoT for the screening and controlling of the electrical and electronic appliances at home from any remote area by essentially utilizing a Smartphone. The key control framework utilizes a remote Bluetooth system and a remote IoT strategy that gives remote access to the advanced cells. The framework configuration does not expel the current electrical switches yet it gives a more secure control over it with the low voltage utilization method. This framework is intended to control electrical gadgets all through the house easily by introducing it, usability, savvy plan and actualize. There has been rising interest for a secure framework that must be tried, true and fast in reaction to the ventures and organization. Arduino makes the circuit and programming technology to design and operate wireless water monitoring system. The Water level in the tank is displayed on the Smartphone by the Water level app.

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Tiwari, Basant, and Vivek Tiwari. "An Intelligent Multi-Objective Framework of Pervasive Information Computing." International Journal of Healthcare Information Systems and Informatics 13, no. 4 (October 2018): 15–27. http://dx.doi.org/10.4018/ijhisi.2018100102.

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This article describes how electronic healthcare has been the key application of pervasive computing innovations to enhance healthcare quality and protect human lives. Specific patients of constant sicknesses and elderly individuals, by and large, may oblige continuous observing of their wellbeing status wherever they are. In this regard, remote patient monitoring technology plays the various important role through wearable devices to monitor patient's physiological figures. But, this must ensure some broad issues like, wearability, adaptability, interoperability, integration, security, and network efficiency. This article proposes a data-driven multi-layer architecture for pervasively remote patient monitoring that incorporates aforesaid issues. It enables the patient's care at the real time and supports anywhere and anytime requirement with using network infrastructure efficiently.

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Li, Jing, Jing Feng Shao, Nan Yan Shen, and Ting Xu. "Research on Remote Monitoring Technology for Intelligent Flexible Manufacturing Cell." Applied Mechanics and Materials 333-335 (July 2013): 1504–8. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1504.

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In recent years, the rapid development of industrial computer technology has provided the foundation for manufacturing automation and informatization. Intelligent Flexible Manufacturing Cell is being integrated with more complicated additional functions to realize the cooperation among CNC machines or between CNC machine and robot. How to detect the systems status rapidly and timely becomes one of the most concerned problems. This paper proposes a remote monitoring system for Intelligent Flexible Manufacturing Cell, designs the remote monitoring platform, determines the communication systems network structure, and establishes the database and software of monitoring system. The result shows that the system obtains a good result in practical application.

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Cai, Guang Hui, Chuan Liang, Qian Huang, and Ying Yuan. "A Remote Intelligent Control System Based on Zigbee Wireless Technology." Applied Mechanics and Materials 644-650 (September 2014): 71–75. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.71.

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Firstly, the Zigbee wireless technology, uCOSII real-time operating systems, gateways and other techniques were studied, and then Cortex-M3 core processor, equipped with running uCOSII operating system to set up an internal wireless network Zigbee module to achieve the end nodes of data acquisition and node control, and ultimately design and implement a remote temperature control and infrared remote control, users can realize temperature control and remote air conditioning temperature regulating heater remotely via a PC or a mobile terminal. The system is real-time, high stability, can be applied to the field of industrial control and remote areas such as intelligent home.

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Chang, Bao Rong, Hsiu-Fen Tsai, and Cin-Long Guo. "Applying Intelligent Adaptation to Remote Cloud Datacenter Backup." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 6 (November 20, 2016): 928–40. http://dx.doi.org/10.20965/jaciii.2016.p0928.

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HBase and Cassandra are two most commonly used large-scale distributed NoSQL database management systems; especially applicable to a large amount of data processing. Regarding remote data backup, each kind of datacenter has its own backup strategy to prevent the risks of data loss. With Thrift Java, this paper aims to implement in-cloud high efficient remote datacenter backup applied to in-cloud NoSQL databases like HBase and Cassandra. The binary communications protocol technology from Apache Thrift is employed to establish the graphical user interface instead of the command line interface so as to ease data manipulation. In order to control the network traffic flow smoothly, intelligent adaptation using ANFIS and PSO is employed to tune the parameters of NoSQL databases during the remote data backup to improve QoS in the network. The stress test has taken on strictly data reading/writing and remote backup of a huge amount of data to verify the effectiveness. Finally, the performance evaluation of a variety of benchmark databases has been done by performance index. As a result, the proposed HBase approach outperforms the other databases.

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Li, Yang, Qing Hong Wu, and Xue Xiao. "Based Embedded System Applications in Intelligent Home Remote Monitoring." Applied Mechanics and Materials 602-605 (August 2014): 2317–20. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2317.

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With the continuous improvement of security awareness, home security has become the focus of attention. The actual demand for home video surveillance system, designed a cheap, practical, small size and low power consumption of video surveillance systems, this paper uses microprocessor S3C2440 ARM9 core as the core hardware control, embedded Linux operating system with software the control core, and cheap, generic USB camera video capture device as a front end to complete the design of a home video surveillance system.

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Mai, Trung, Rui Jiang, and Edward Chung. "A Cooperative Intelligent Transport Systems (C-ITS)-based lane-changing advisory for weaving sections." Journal of Advanced Transportation 50, no. 5 (April 4, 2016): 752–68. http://dx.doi.org/10.1002/atr.1373.

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Hu, Lei. "Design of Remote Monitoring Iot System Based on 5G and New Optical Fiber Intelligent Structure." Advances in Materials Science and Engineering 2022 (July 9, 2022): 1–12. http://dx.doi.org/10.1155/2022/1536839.

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In recent years, with the progress and development of social science and technology, remote monitoring of Internet of Things systems has attracted more and more attention. The remote monitoring system is mainly a network system with convenient layout, simple maintenance, and high security performance built on the basis of the wireless network, which can realize real-time monitoring, and collects transmit information. It is mostly used in remote monitoring of room temperature, remote monitoring of intelligent furniture, engineering construction, and teaching. Communication technology dominates the operation of remote monitoring systems. With the introduction of 5G technology, mobile Internet technology has been pushed to the top of technology again. Using 5G mobile communication technology in the monitoring system, people can observe or operate the monitored things at any time. The sensor is an indispensable component of the remote monitoring system, and a new type of optical fiber is added to the sensor to make the system function more complete. However, the related technology is not very mature, and the research on remote monitoring system is relatively backward in China. Relevant studies have found that when the remaining energy of the information node in the remote monitoring system reaches 10%, the information node will die and the speed of information transmission will decrease. Therefore, adding new technologies is conducive to improving the performance of remote monitoring systems.

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Garbuk, S. V. "Tasks of normative and technical regulation of intelligent Earth remote sensing systems." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 19, no. 1 (2022): 107–22. http://dx.doi.org/10.21046/2070-7401-2022-19-1-107-122.

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Bajohr, Markus, and Tiziana Margaria. "MaTRICS: A service-based management tool for remote intelligent configuration of systems." Innovations in Systems and Software Engineering 2, no. 2 (July 2006): 99–111. http://dx.doi.org/10.1007/s11334-006-0003-y.

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Mann, Steve. "Intelligent Bathroom Fixtures and Systems: EXISTech Corporation's Safebath Project." Leonardo 36, no. 3 (June 2003): 207–10. http://dx.doi.org/10.1162/002409403321921424.

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EXISTech Corporation's computer networks, control systems and image-sensor technology facilitate hygienic touchless control of plumbing fixtures. Two of EXISTech's sensors are described here in detail: an active infrared faucet sensor and a passive infrared autoflush sensor. These devices allow internetworked plumbing systems to help facility managers and law-enforcement personnel remotely monitor the operation of bathroom fixtures. Intelligent fixtures and systems based on quantimetric sensing technology enhance the privacy of law-abiding users by eliminating the need for invasive policing of restrooms. New computer-vision algorithms also automatically detect accidents, as well as vandalism and contraband disposal, to assist remote monitoring by law enforcement.

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Wuhrer, R., and K. Moran. "Computer Integrated X-ray Systems and Intelligent Control Systems for Remote Microscopy and Power Savings." Microscopy and Microanalysis 17, S2 (July 2011): 866–67. http://dx.doi.org/10.1017/s1431927611005204.

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Tokarev, Kirill, Yulia Orlova, Vsevolod Kuzmin, and Tatyana Pleshenko. "Geoinformation monitoring of crop productivity using intelligent analysis of vegetation indices." E3S Web of Conferences 203 (2020): 02013. http://dx.doi.org/10.1051/e3sconf/202020302013.

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One of the most promising areas of development of the system for managing programmed agricultural production and increasing its productivity at present in Russia and abroad is the use of remote monitoring and sensing systems for subsequent interpretation of the data obtained by calculating and visualizing vegetation indices using intelligent systems. Using geomonitoring systems allows you to monitor the state of crops, make timely decisions on the implementation of appropriate agricultural measures. The development of the remote monitoring system, due to the increase in the number of satellites and the formation of available space survey data, suggests the possibility of creating an effective system for monitoring agricultural land and assessing crop yields.

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Zhao, Jian Ping, Xiao Yang Liu, Hui Hua Wu, Xiao Lin Chen, Li Yang, and De Hua Zhang. "A Remote and Unified Software Automated Deployment Platform." Applied Mechanics and Materials 644-650 (September 2014): 3245–50. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3245.

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According to the problem that the current deployment methods and tools lead to complex control of software version, simple and repeated labor, and low work efficiency for the distributed software system containing a variety of applications deployed and upgraded on computers of different hardware configurations and operating systems, a remote and unified software automated deployment platform is designed by studying software automated deployment platform and key techniques of software information description language, software intelligent deployment algorithm and multi-agent communication mechanism. The experiment shows that the deployment platform can automatically detect software deployment conflicts, adjust conflicts, make collaborative decisions of software deployment, realize the unified and intelligent deployment at last.

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Gong, Hao, and Chen He. "Intelligent Management of Land Resources Based on Internet of Things and GIS Technology." Journal of Sensors 2022 (May 11, 2022): 1–13. http://dx.doi.org/10.1155/2022/2216581.

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In order to improve the effect of land resource management, this paper combines the Internet of Things technology and GIS technology to build an intelligent management system for gradient resources to improve the efficiency of land resource management. Aiming at the hybrid intelligent model of wetland resource remote sensing monitoring technology, this paper analyzes and studies the remote sensing image processing theory. Moreover, this paper studies in detail remote sensing image restoration, TM image reflectivity simulation imaging, image enhancement technology, optimal band selection based on the characteristics of wetland resources, expert decision analysis, deep mining of image data, knowledge reasoning, and decision tree analysis to form a theoretical support system for a hybrid intelligent classification model for wetland resources. The research shows that the intelligent management system of land resources based on the Internet of Things and GIS technology has a good effect in the collection and processing of land resource information and can effectively improve the management efficiency of land resources.

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Gheorghe, Ion Gheorghe, Iulian Ilie, and Valentin Gornoavă. "Adaptronic Engineering Used in the Construction of Intelligent Mechatronic Equipment and Systems for the Automotive Industry." Applied Mechanics and Materials 772 (July 2015): 305–11. http://dx.doi.org/10.4028/www.scientific.net/amm.772.305.

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By addressing and developing Intelligent Adaptronic Engineering, with the view to widening towards fundamental and applied knowledge of the science and engineering of Adaptronics, in the direction of design and construction of intelligent adaptronic solutions and transferring of research results towards industry and economy, is created the synergistic vector of the intelligent specialized field, to support the sector and support the development of the sector, of the industry and economy and the current informational society and post-informational society.This paper deals with the scientific concepts, achievements and experiments on intelligent mechatronic equipment and system in adaptronic architectures for monitoring, control, service and remote maintenance in the automotive industry.

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Long, Qiong, Zhi Fang Huang, and Jin Fan Zhang. "Study on Design and Implementation of Integrated Access System of Intelligent Transportation." Applied Mechanics and Materials 192 (July 2012): 370–74. http://dx.doi.org/10.4028/www.scientific.net/amm.192.370.

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Intelligent transportation integrated access system can significantly improve the security of computer network systems, while trusted computing technology can effectively enhance the credibility and safety of the terminal, and then construct a trusted network connection. Based on computing technology, this thesis proposes to establish a credible integrated access network, and implement network access control on the remote access equipment, thereby enhancing the safety of the integrated access system. The results show that, through the transmission technology of credible chain proposed in this paper, and remote proof technology basing on device identity and security policies can establish a credible integrated access system, thus effectively improving the security of Beijing intelligent transportation systems.

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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 (March 21, 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 and monitoring through remote sensing. Based on this review, the main challenges of leveraging AI and RS for intelligent water information extraction are discussed, and research priorities are identified. An interactive web application designed to allow readers to intuitively and dynamically review the relevant literature was also developed.

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Li, Chong, Hao Wang, Chuan Li, Zhongliang Zhou, Ziye Yang, Kuixian Gu, and Jianyun Xu. "Intelligent Online Monitoring and Remote Verification of Gateway Meters under the Embedded Sensor and Clustering Algorithm." Wireless Communications and Mobile Computing 2022 (March 9, 2022): 1–14. http://dx.doi.org/10.1155/2022/7544772.

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Since gateway meters cannot simultaneously realize online monitoring and remote verification, the study is aimed at exploring the intelligent online monitoring and remote verification of the gateway meter. First, the similarity and related evaluation indexes of embedded sensors are analyzed based on the relevant theories, like the theories of the embedded sensor and clustering algorithm. Second, the gateway meter is tested on the standard vibration test bed, and the accuracy, timeliness, and environmental adaptability of its intelligent online system are tested. Finally, the remote verification of the gateway meter is carried out from three aspects: the error/load value, secondary voltage drop, and the admittance test. The results show that when the intelligent online monitoring ability of the gateway meter is tested on the standard vibration test bed, the error of the same pilot is controlled between 0.1 mm after multiple peak tests, and the error is within the allowable range. In the intelligent online monitoring system based on the embedded sensor and clustering algorithm, the vibration acceleration is -0.6 cm/s~0.3 cm/s, the speed is -1 cm/s~1 cm/s, and the displacement fluctuates between -0.8 cm/s~0.8 cm/s. This shows that the intelligent online monitoring system can meet the performance requirements of online monitoring. In the process of remote verification of gateway meters, the active error and reactive error are 0.2% mm. The results of the secondary voltage drop and the admittance test show that the relevant technical indexes of the system meet the expected requirements. Therefore, the intelligent online monitoring and remote verification of gateway meters are discussed based on the embedded sensor and clustering algorithm, which provides a reference for the rapid development of gateway meters.

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Yang, Zebo, and Tatsuo Nakajima. "Connecting Smart Objects in IoT Architectures by Screen Remote Monitoring and Control." Computers 7, no. 4 (September 24, 2018): 47. http://dx.doi.org/10.3390/computers7040047.

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Electronic visual display enabled by touchscreen technologies evolves as one of the universal multimedia output methods and a popular input intermediate with touch–interaction. As a result, we can always gain access of an intelligent machine by obtaining control of its display contents. Since remote screen sharing systems are also increasingly prevalent, we propose a cross-platform middleware infrastructure which supports remote monitoring and control functionalities based on remote streaming for networked intelligent devices such as smart phone, computer and smart watch, etc. and home appliances such as smart refrigerator, smart air-conditioner and smart TV, etc. We aim to connect all these devices with display screens, so as to make possible remote monitoring and controlling a certain device by whichever one (usually the nearest one) of display screens among the network. The system is a distributed network consisting of multiple modular nodes of server and client, and is compatible to prevalent operating systems such as Windows, macOS, Unix-like/Linux and Android, etc.

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Wu, Yiliang, Xue Bai, Yendo Hu, and Minghong Chen. "A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing." Applied Sciences 12, no. 24 (December 15, 2022): 12884. http://dx.doi.org/10.3390/app122412884.

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Low latency video transmission is gaining importance in time-critical applications using real-time cloud-based systems. Cloud-based Virtual Reality (VR), remote control, and AI response systems are emerging use cases that demand low latency and good reliability. Although there are many video transmission schemes that claim low latency, they vary over different network conditions. Therefore, it is necessary to develop methods that can accurately measure end-to-end latency online, continuously, without any content modification. This research brings these applications one step closer to addressing these next generation use cases. This paper analyzes the cause of end-to-end latency within a video transmission system, and then proposes three methods to measure the latency: timecode, remote online, and lossless remote video online. The corresponding equipment was designed and implemented. The actual measurement of the three methods using related equipment proved that our proposed method can accurately and effectively measure the end-to-end latency of the video transmission system.

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IGLESIAS, JOSE ANTONIO, PLAMEN ANGELOV, AGAPITO LEDEZMA, and ARACELI SANCHIS. "HUMAN ACTIVITY RECOGNITION BASED ON EVOLVING FUZZY SYSTEMS." International Journal of Neural Systems 20, no. 05 (October 2010): 355–64. http://dx.doi.org/10.1142/s0129065710002462.

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Environments equipped with intelligent sensors can be of much help if they can recognize the actions or activities of their users. If this activity recognition is done automatically, it can be very useful for different tasks such as future action prediction, remote health monitoring, or interventions. Although there are several approaches for recognizing activities, most of them do not consider the changes in how a human performs a specific activity. We present an automated approach to recognize daily activities from the sensor readings of an intelligent home environment. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Fuzzy Systems.

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TSYRA, O., and N. PUNCHENKO. "USING OF COGNITIVE DYNAMIC SYSTEMS FOR INTELLIGENT TECHNICAL SYSTEMS CONTROL." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 299, no. 4 (October 2021): 50–53. http://dx.doi.org/10.31891/2307-5732-2021-299-4-50-53.

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For the second year around the world the impact of the coronavirus disease COVID-19 has been taking place. And, therefore, the modern world today is in a critical situation in the fight against a pandemic, where humanity is competing for its natural survival and has embraced the whole world, which greatly influenced the economic, social, and political aspects. The forecasts of specialists in various spheres of social life have versatile conclusions. But technological and informational components have received new development opportunities, and here it becomes interesting to consider the moment of creating a single information space, due to the effective implementation of the latest information resources that can transform ordinary services at a qualitatively new level. This is also the issue of virtualization of individual industries with high economic potential. Also, the integration of the latest technological solutions (issues of managing business systems at enterprises, organizing workplaces, abandoning institutions with reference to a specific building, etc.). When creating a remote form, Big Data resources become relevant, analysing large amounts of data and can issue their own conclusions and plan informed proposals. The conclusions obtained based on complex analytical technological systems based on artificial intelligence can compete with experts in a particular industry. Systems with a complex hierarchical system are capable of serious forecasting, but the focus of small companies on minor tasks does not give a comprehensive result on a national scale. Scientists and specialists involved in these tasks are limited in global information, therefore, the issue of attracting cognitive dynamic systems from the point of view of effective management is an urgent issue for solving artificial intelligence problems. In the work there are links to sources, explain the presented material.

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Dudorov, Е. А., А. А. Bogdanov, and A. F. Permyakov. "ROBOTIC SYSTEMS FOR SPECIAL AND MEDICAL INTELLIGENT ASSISTANCE." Science and Innovations in Medicine 1, no. 3 (September 15, 2016): 83–88. http://dx.doi.org/10.35693/2500-1388-2016-0-3-83-88.

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Exoskeletons gradually come to all spheres of human activities - from building houses to sports, from medicine to military usage. Exoskeleton complexes are rapidly developing with the help of 3D printing, microwires, new sources of energy and computing power. Russian developers are actively participating in this process, and their results keep up with the results of their foreign competitors. So these teams have a good chance to become market leaders in exoskeleton technologies for a wide range of applications. Aim. Analysis of condition and determination of the main directions of development of robotic systems for special and medical intelligent assistance. Methods. The study involved a complex of methods of designing of robotic systems and evaluation of their mechanic characteristics and managing principles, such as method of movement modeling, method of managing robotic systems based on biologically suitable principles, method of automatic interaction between robotic device and BCI, method of remote control of robotic systems etc. All these methods helped to develop the best possible models of exoskeleton robotic systems. Conclusion. The key problems of Russian developers of robotic systems for intelligent assistance are the technological dependence on foreign suppliers and a lack of qualified personnel. The most promising directions of development are the development of lower-extremity exoskeleton and specific exoskeleton complexes.

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Guo, Fang, and Jia Yong Duan. "Design and Implementation of Intelligent Baby Room Monitoring System Based on the Internet of Things." Applied Mechanics and Materials 513-517 (February 2014): 2484–86. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2484.

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In this paper, a special environment for the baby room monitoring devices is designed. The system uses technology of Things based on Zigbee. The system has temperature sensor, humidity sensor, wet alarm, infrared alarm and other information collection systems and music players control system. The system also includes microphone and camera information collection system based on TCP / IP protocol. Through information processing of intelligent controller, the family can be real-time observation of environmental parameters baby at home. Families can also be information monitoring and remote control via remote access intelligent controller.

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Zhou, Qingchao, Bingkun Chen, Zelong Bai, Bingsuo Zou, and Haizheng Zhong. "P-80: Intelligent Remote Light-Emitting Systems using PMMA and CuInS2Nanocrystals Composite Films." SID Symposium Digest of Technical Papers 45, no. 1 (June 2014): 1285–87. http://dx.doi.org/10.1002/j.2168-0159.2014.tb00336.x.

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Liu, Weiwei, Xuan Luo, Jingwen Zhang, Dongdong Niu, Jianyang Deng, Weiqi Sun, and Jie Kang. "Review on control systems and control strategies for excavators." Journal of Physics: Conference Series 2301, no. 1 (July 1, 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2301/1/012023.

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Abstract The product performance of excavators continuously improves with industrial development. However, unsighted improvements in the performance of excavators cannot meet the emission standards. Therefore, considerable research on energy conservation, high efficiency, and accurate control strategy should be conducted. At present, power matching research is performed because of the inconvenience of energy transmission. The technical advantages of hybrid power provide a better research direction for the energy-saving research of excavators. Intelligent control algorithms, such as sliding mode control and time-delay control, are added to the control system to improve the trajectory accuracy in excavator trajectory control. The intelligent operation of excavators reduces the requirements of the operating environment and improves operation economy in remote, complex, and dangerous operation spaces. The research statuses of excavators in power matching, hybrid control, trajectory control, and intelligent autonomous operation are reviewed. Finally, six conclusions about the current research status are drawn.

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Hu, Jin, Hui Pin Lin, Qun Wang, and Zheng Yu Lu. "A Smart Remote Controlled Multi-Functional Lighting System." Applied Mechanics and Materials 635-637 (September 2014): 1187–93. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1187.

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Recently, remote control technology attracted wide attentions and began to be used in lighting applications with computer and internet, power electronics, automatic control technologies together. Most conventional remote controlled lighting systems realized basic lighting functions, i.e. turning on/off and dimming. However, modern remote controlled lighting system needs to have multi-functions including line switching control, line anti-theft, illuminance detection, metering electrical parameters, ballast’s fault-condition detection, data analysis and statistics, abnormal-conditions alert and diagnosis. These functions will make the system more intelligent and practical. This paper proposes such a system comprising intelligent ballast, line switcher, meter, illuminance detector, server, website, etc. The system integration method is illustrated by analyzing the system’s working principle and functions. An experimental system is set up as a demonstration and the test results verify the proposal.

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Chakkor, Saad. "Performance Indicators for Wireless Intelligent Sensors Applications." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 3 (December 1, 2014): 129. http://dx.doi.org/10.11591/ijict.v3i3.pp129-143.

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The metrology technology has been evolved so much with the wireless sensor intelligent systems providing more capabilities in term of processing, remote multi-sensing fusion and storage. This kind of systems can be used in many types of environments. The monitoring is one of the most used. However, various design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations. Communication in sensor network should be as efficient as possible, especially for applications requiring specific performances. This paper analyzes the performance indicators of the sensing devices systems which stand for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an enhanced sensing motes design strategy that offers operational advantages which can give cost-effective solutions for an application.

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Bao, Kongjun, and Yaoxi Bao. "Image Processing Technology in Remote Monitoring and Intelligent Medical System." Journal of Healthcare Engineering 2021 (November 22, 2021): 1–6. http://dx.doi.org/10.1155/2021/6549891.

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In order to study the application of image processing technology in remote monitoring and intelligent medical systems, the principle and implementation method of a remote intelligent image monitoring system based on virtual local area network is proposed; this method analyzes the key technologies to be considered in the remote realization of image monitoring, adopts advanced digital image compression coding and decoding technology and digital image transmission technology, and applies intelligent image processing and recognition technology to display, adjust, and track images; it overcomes the defects that the general monitoring system requires excessive intervention by monitoring personnel and low intelligence. After verification, the experimental results show that the proposed model can accurately and efficiently segment nonoverlapping cervical cell images, and compared with other existing models, this model has both higher segmentation accuracy and faster calculation speed. The application of multicast is still only in the laboratory or small local area network; with the further development of network technology, its application prospects will be very broad.

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Mei, Lu Hai. "A Design of Intelligent Family Network Based on Distributed Control System." Advanced Materials Research 430-432 (January 2012): 1103–6. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1103.

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In order to promote the development and application of family intelligent network technology, in this paper, a design of intelligent family network based on distributed control system is introduced. The network communication and control structure of systems makes use of a distributed control system, the gateway makes use of construction of embedded systems, remote control design makes use of browser/server to achieve. The programming provides stronger advancement, creation, flexibility and reliability with great research significance and application value.

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Yang, Wenhua. "Landscape Preference of Rural Cultural Tourism Tourists Based on GIS Spatial Statistical Technology and Emotion Analysis." Security and Communication Networks 2022 (July 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/4770803.

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How to combine GIS spatial statistics technology to realize the intelligent and efficient classification of tourists’ landscape preferences is a hot spot in the direction of rural cultural tourism. Based on this, this paper studies the emotion analysis strategy based on GIS spatial statistical method in the field of landscape preference of rural cultural tourism tourists. Firstly, an intelligent and efficient classification model based on remote sensing discrete expansion algorithm is proposed. Combined with the observation strategy of common emotional rules in the landscape preference analysis of rural cultural tourism tourists, the landscape preference of rural cultural tourism tourists is processed with high quantitative emotional information, so as to realize the intelligent separation of preference, and then the error of discrete remote sensing data expansion model is corrected. Secondly, the judgment function of emotional rules is constructed, and the commonly used data layer-driven decentralized method is used in preference classification to eliminate the secondary factors in the landscape preference analysis of rural cultural tourism tourists. At the same time, the remote sensing discrete expansion algorithm is used to optimize and improve the emotional rules of high-volume emotional information based on GIS spatial statistical method. Finally, through the design of confirmatory experiments, the results show that the landscape preference analysis model based on GIS spatial statistics method and remote sensing discrete expansion algorithm is more efficient than the conventional preference classification method.

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Journal articles on the topic 'Intelligent remote advisory systems'

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