Journal articles: 'Intelligent Controls'

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Christodoulou, Manolis. "Intelligent Controls." Journal of Intelligent & Robotic Systems 12, no. 3 (October 1995): 195–96. http://dx.doi.org/10.1007/bf01262960.

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John, R. W., and A. L. Dexter. "Intelligent controls for building services." Building Services Engineering Research and Technology 10, no. 4 (November 1989): 131–41. http://dx.doi.org/10.1177/014362448901000401.

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Wei, Ying-Jyi Paul. "Intelligent control law tuning for AIAA controls design challenge." Journal of Guidance, Control, and Dynamics 17, no. 4 (July 1994): 753–58. http://dx.doi.org/10.2514/3.21264.

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Schlechtendahl, J., S. Braun, P. Schraml, E. Abele, U. Heisel, A. Verl, and A. Lechler. "Modellbasierte, energieoptimale Maschinensteuerung*/Model-based, energy-optimal production control - Reduction of energy consumption over multiple layers within the control hierarchy." wt Werkstattstechnik online 105, no. 06 (2015): 440–44. http://dx.doi.org/10.37544/1436-4980-2015-06-92.

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Der Einfluss moderner Werkzeugmaschinen auf die Umwelt basiert größtenteils auf deren Energieverbrauch im Produktivbetrieb. Um diesen Energieverbrauch zu senken, bietet sich der Einsatz von modellbasierten Strategien an. Für die Nutzung dieser Strategien in Werkzeugmaschinensteuerungen müssen modellbasierte Optimierer und Steuerungsinformationen zur intelligenten Energieverbrauchssteuerung verknüpft werden. In diesem Fachbeitrag wird ein Ansatz für eine intelligente Energieverbrauchssteuerung vorgestellt sowie anhand von Prozess- und Komponentenoptimierern validiert. Teil 1 des Fachbeitrags ist erschienen in der wt-Ausgabe 5-2015 auf den Seiten 324–328.   Modern machine tools mainly affect the environment by their energy consumption during operational life. Model-based strategies could be used for decreasing the energy consumption of machine tools. To enable the use of these strategies in machine controls, model-based optimizers and control information need to be connected to an intelligent energy controller. This paper introduces an approach to an intelligent energy controller for machine tools, validated by process and component optimizers.

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Opdenbosch, Patrick, Nader Sadegh, and Wayne Book. "Intelligent controls for electro-hydraulic poppet valves." Control Engineering Practice 21, no. 6 (June 2013): 789–96. http://dx.doi.org/10.1016/j.conengprac.2013.02.008.

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Brovko, Oleg, Alexey Eliseev, Vladimir Kekelidze, Vladimir Korenkov, Dmitry Monahov, Andrey Reshetnikov, Gennadii Reshetnikov, and Sergey Ulyanov. "Necessity of intelligent control systems application in experimental nuclear physics complexes (NICA type).PT.I: Problems of unforeseen situations." System Analysis in Science and Education, no. 4 (2019) (2019): 32–57. http://dx.doi.org/10.37005/2071-9612-2019-4-32-57.

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In the article (Part I) the necessity of application of end-to-end quantum technologies of intelligent computing in problems of structure elements control of complex experimental accelerator complex NICA is analyzed. Given a description of possible unforeseen situations, their classification is given to include adjustments to the decision-making application of production rules, logic knowledge bases of intelligent control systems based on emerging information risk increment. In the second part (Part II) the proposed two-level intelligent control system, a physical experimental setup of the NICA complex, in which the lower Executive level is a traditional control system based on expert control using the Tango control system Controls, while the upper (intelligent) level control actions are generated using the methods of quantum end-to-end IT design quantum fuzzy controller. Part II presents the QSCIT (Quantum Soft Computational Intelligence Toolkit), based on soft and quantum computing, to design robust knowledge bases in self-organizing intelligent control systems.

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Azahar, Kaiyisah Baiduri, Ericka Ensimau Sekudan, and Ahmad Mirza Azhar. "Intelligent Egg Incubator." International Journal of Recent Technology and Applied Science 2, no. 2 (September 27, 2020): 91–102. http://dx.doi.org/10.36079/lamintang.ijortas-0202.129.

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This research presents the design and development of a chicken egg incubator. The aim is to design and construct an “Intelligent Egg Incubator” that can hatch chicken eggs automatically. In the design, author used a temperature control system that controls the temperature of the incubator. This system consists of a temperature sensor, heating and cooling elements and a controller. If the temperature of the incubator exceeds a certain value, the cooling unit will operate to reduce the temperature while if the temperature goes below another threshold value, the heating element will start to operate to increase the temperature. Furthermore, author used a motion sensor to detect the movements of the eggs. If there is a movement inside the incubator, the owner of the incubator will get the notification about the conditions of the eggs

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Rong, Jing. "The Design of Intelligent Street Lighting Control System." Advanced Materials Research 671-674 (March 2013): 2941–45. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.2941.

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The paper puts forward a modification plan which combines the wireless communication network with power line communication to reduce energy waste in the city lighting system at night. The system framework is divided into three layers, the backend server controls the centralized controllers through the core network; each centralized controller controls the lamps through the access network; node controller on each street light works as a terminal which controls the light according to the commend receives from the centralized controllers through PLC. The system combines wireless communications, power line carrier, LED circuit constant current drive with PWM stepless dimming technology. The application results show that the system can reduce the electric energy consumption obviously, and the intelligent street lamps operate stably and reliably.

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Tang, Baoping. "Research on mechanical measurement-oriented intelligent virtual controls." Chinese Journal of Mechanical Engineering (English Edition) 17, no. 03 (2004): 356. http://dx.doi.org/10.3901/cjme.2004.03.356.

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Greshnikov, I. I. "Gaze Control Function Implementation in the Aircraft Cockpit Displays and Controls." INFORMACIONNYE TEHNOLOGII 27, no. 8 (August 11, 2021): 445–48. http://dx.doi.org/10.17587/it.27.445-448.

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The paper analyzes modern solutions applicable to advanced cockpit development using the gaze control function. Based on the analysis, the conclusion is made about the practicability of using the gaze control function and the intelligent information system is being developed for testing this function on the basis of universal cockpit prototyping bench.

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Han, Yong Qi, Li Ying Cao, and Chun Guang Bi. "Research of an Automatic Cruise Intelligent Vehicle Control Program." Advanced Materials Research 1049-1050 (October 2014): 1030–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1030.

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Control core of Intelligent automatic patrol car track (photovoltaic group) uses G128 chip, which function modules include: laser sensor, speed control module, the servo control module. The basic principle is that the control center sends a signal to the laser sensor module, which controls laser tube launching and receives data by laser receiver returning. According to the data of the receiver, the core module synchronously controls servo module and the speed module. The main program uses a PID algorithm by C language.

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Brecher, Christian, Tiandong Xi, Igor Medeiros Benincá, Sebastian Kehne, and Marcel Fey. "Intelligente Überwachung von Werkzeugverschleiß/Intelligent monitoring of tool wear based on machine internal data." wt Werkstattstechnik online 111, no. 05 (2021): 309–13. http://dx.doi.org/10.37544/1436-4980-2021-05-43.

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Numerische Steuerungen für Werkzeugmaschinen erfassen eine erhebliche Menge an Sensordaten für die Achsregelung. Diese liefern nicht nur Informationen über die aktuellen Achspositionen oder die Ströme, sondern können mithilfe von Modellen auch für das Monitoring von anderen Prozessgrößen verwendet werden. In diesem Beitrag wird ein Machine-Learning-Verfahren zur Überwachung von Werkzeugverschleiß untersucht, welches allein auf maschinen-internen Daten basiert.   Numerical controls for machine tools acquire a considerable amount of sensor data for axis control. This information, such as the current axis position or the motor currents, can be used for monitoring other process variables with the aid of models. This article investigates a machine learning method for monitoring tool wear in machine tools, based on machine-internal data only.

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Tao, Hua, and Li Wei Zhu. "Using Heuristic Searching Algorithm for Optimizing Intelligent Transportation Controls." Applied Mechanics and Materials 602-605 (August 2014): 937–41. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.937.

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Previously, intelligent transportation control systems have been widely used to improve traffic safety on roadways. Among them, dynamic speed control is a novel technique that has been increasingly used for reducing collision risks. However, previous studies did not consider using any heuristic searching algorithm to obtain the optimal solution to improve traffic safety. The objective of this study is to evaluate the application of using heuristic searching algorithm to optimize the safety effects of dynamic speed control system. The results showed that the evolution process in the heuristic searching algorithm can promote the strategy towards better solutions for the optimization of the safety effects of dynamic speed control. The optimal control reduces collision risks by 12.7% and increased travel time only by 1.4%.

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Kramer, Robert A., Ralph Branch, and Wendi Liu. "Optimizing Building Energy Efficiency with Modeling and Intelligent Controls." Energy Engineering 107, no. 2 (February 2010): 52–80. http://dx.doi.org/10.1080/01998591009709869.

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Wakamoto, Masaaki, Mitsunori Fukazawa, Moo Wan Kim, and Shinmi Hattori. "An intelligent network call model incorporating broadband isdn controls." Electronics and Communications in Japan (Part I: Communications) 76, no. 1 (1993): 24–33. http://dx.doi.org/10.1002/ecja.4410760103.

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Clore, Gerald L., and Janet Palmer. "Affective guidance of intelligent agents: How emotion controls cognition." Cognitive Systems Research 10, no. 1 (March 2009): 21–30. http://dx.doi.org/10.1016/j.cogsys.2008.03.002.

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Liu, Feng, Xing Wu, Nan Pan, Jun Zhou, and Yi Liu. "Study of Intelligent Evidence Management System." Applied Mechanics and Materials 538 (April 2014): 520–23. http://dx.doi.org/10.4028/www.scientific.net/amm.538.520.

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Based on the LabVIEW platform and SQL server database, the intelligent management system of physical evidence is developed, which implements the intellectualization and networking and makes the staff in the public security organization manage the evidence more conveniently, safely and efficiently. The key techniques including the design of evidence room, the hardware design and form controls of browsing information were introduced in detail. Finally, reliability, availability and stability of the system were proved through testing by the public security department for a period of time.

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Li, Hong Fei, and Na Wang. "Design of Intelligent Explosion-Proof Electromagnetic Starting Reactor Based on PIC16F887." Applied Mechanics and Materials 143-144 (December 2011): 37–42. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.37.

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According to high-voltage squirrel-cage AC asynchronous motor using string reactor to reduce voltage starting,there are some shortcomings such as circuit complexity, operation and maintenance trouble, the unfavorable to maintain and update and so on. Design of an intelligent explosion-proof electromagnetic starting reactor based on PIC16F887 microcontroller is proposed, this reactor has time type, current type, time-current starting type which can be set and it has temperature detection protection function in the starting process. After starting completion, it also has the bypass electrical locking function which can real-time monitor the current, voltage and temperature signals to realize intelligent. Using the reactor of controller already has been applied rated voltage 10kV, rated power 1600kW fan commissioning in a coal mine, the test results indicate that this reactor controls current smoothly in the starting process, and has reliable starting performance, easy operation, and high degree of intelligence.

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Okada, Kei, Akira Fuyuno, Takeshi Morishita, Takashi Ogura, Yasumoto Ohkubo, Yasuyuki Kino, Masayuki Inaba, and Hirochika Inoue. "Device Distributed Approach to Expandable Robot System Using Intelligent Device with Super-Microprocessor." Journal of Robotics and Mechatronics 16, no. 2 (April 20, 2004): 208–16. http://dx.doi.org/10.20965/jrm.2004.p0208.

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Conventional robot system design is either classified as a built-in centralized approach in which one processor on a robot controls all devices or as a module distributed approach in which several processors in a built-in network communicate and each processor controls several devices. The built-in centralized approach is limited by the number of devices on the robot. The module distributed approach has no such limitation, but requires changes in software or built-in network topology when devices are added. This paper describes a device distributed approach to realize a simple, expandable robot system that enables a number of devices to be attached or added to a built-in robot without significant changes to software and hardware. The robot system based on a device distributed approach consists of a serial bus connected to intelligent devices. Each device such as sensors and actuators has a processor for communication and calculation, so devices are added by connecting them to the serial network. We developed intelligent servos and intelligent sensors as prototypes of intelligent devices using super microprocessors with a 3×3 mm footprint, and build small humanoid robots to confirm the expandability of a robot, in which intelligent servos realize a wiring saving robot, a many DOF robot, and easy device addition.

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Chien, Hung Yu, Chin Feng Lee, Shih Bin Liu, and Tzong Chen Wu. "Enhancing convenience and situation-aware intelligence of smart home services using passive RFID and intelligent controls." International Journal of Internet Protocol Technology 5, no. 3 (2010): 166. http://dx.doi.org/10.1504/ijipt.2010.035387.

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Plaza, Mauricio, Fredy Bernal, and Yeison Fernel Chacon. "Smart Wheelchair Controls System Using Intelligent Algorithm and Biosensor Signal." ECS Meeting Abstracts MA2020-01, no. 26 (May 1, 2020): 1862. http://dx.doi.org/10.1149/ma2020-01261862mtgabs.

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M’zoughi, Fares, Izaskun Garrido, Soufiene Bouallègue, Mounir Ayadi, and Aitor J. Garrido. "Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant." Electronics 8, no. 1 (January 8, 2019): 70. http://dx.doi.org/10.3390/electronics8010070.

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Control engineering in renewable energy systems is a delicate and tedious task, especially due to the unpredictable nature of the renewable resources, which requires precision and robustness. These requirements can be ensured using intelligent control, which provides better performance than many conventional techniques and methods. This paper focuses on the modeling and the intelligent control of the NEREIDA wave power plant of Mutriku in Spain. In this context, the design of two novel intelligent airflow controls for a stalling-free operation of the Wells turbine-based power take-off system is presented and compared. The airflow control will ensure the avoidance of the stalling behavior using an intelligent PID controller. The first control design methodology is based on the metaheuristic algorithms to ensure the optimization of the controller gains. The second methodology is based on the fuzzy gain scheduling of the gains. Two study cases were performed to compare the optimized-PID and FGS-PID to a conventional PID in two wave conditions. The results show the superior performance of both proposed controls over the conventional PID, providing power generation improvement in regular and irregular waves.

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Wang, Xin, Ran Li, Ling Li, Long Shuang Wang, and Bin Qin. "Design and Implementation of Intelligent Control System for Industrial Sewage Treatment Aeration Quantity." Advanced Materials Research 864-867 (December 2013): 1445–48. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.1445.

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Due to the characteristics of dissolved oxygen process, such as non-linear and time delay, the traditional control methods are not very ideal for the aeration quantity assignment in the major domestic wastewater treatment plants. An intelligent system that controls the aeration quantity of the wastewater treatment of biochemistry pools is adopted, which the feedback control and the intelligence model are used to keep the balance of aeration. Meanwhile, according to the concentration of dissolved oxygen, the rotational speed of the air blower is adjusted for the sake of saving energy. This control system has been realized by Schneider Premium TSX P57 PLC system and the results show that the system is stable and reliable.

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Xu, Shi Min, Hong Bing Yu, Ya Qiao, and Fei Huang Chu. "Research on Intelligent System for Cavity Filter Tuning." Advanced Materials Research 912-914 (April 2014): 1002–5. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1002.

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Microwave filters are applied widely. It cannot only reduce workers working hours,but also increase productivity effect if intelligent computer-aided tuning techniques are introduced in large volume production. An intelligent platform is designed and realized for cavity filter tuning in this paper. This platform extracts the parameter of filter and then controls motor to adjust the filter parameter automatically. The results have shown that the research in computer-aided tuning techniques is much of realistic meaning.

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Fourie, C. J. "Intelligent scheduling using a neural network model in conjunction with reinforcement learning." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 219, no. 2 (February 1, 2005): 229–35. http://dx.doi.org/10.1243/095440505x8181.

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This paper describes the use of an artificial neural network in conjunction with reinforcement learning techniques to develop an intelligent scheduling system that is capable of learning from experience. In a simulated environment the model controls a mobile robot that transports material to machines. States of ‘happiness’ are defined for each machine, which are the inputs to the neural network. The output of the neural network is the decision on which machine to service next. After every decision, a critic evaluates the decision and a teacher ‘rewards’ the network to encourage good decisions and discourage bad decisions. From the results obtained, it is concluded that the proposed model is capable of learning from past experience and thereby improving the intelligence of the system.

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Dong, Yanyan, Jie Hou, Ning Zhang, and Maocong Zhang. "Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence." Complexity 2020 (October 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/1680845.

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Artificial intelligence (AI) is essentially the simulation of human intelligence. Today’s AI can only simulate, replace, extend, or expand part of human intelligence. In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. Breakthroughs in algorithms represented by cognitive computing promote the continuous penetration of AI into fields such as education, commerce, and medical treatment to build up AI service space. As to human concern, namely, who controls whom between humankind and intelligent machines, the answer is that AI can only become a service provider for human beings, demonstrating the value rationality of following ethics.

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Li, Jun Ying. "Control System Design of Intelligent Water Meter." Advanced Materials Research 490-495 (March 2012): 1296–300. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1296.

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The control system of a new type of intelligent household water meter which can prevent water leakage is designed in this paper. That water drives the rotor-wing rotating can make micro direct-current generator generate and store power used for the system power supply. OMRON EE-SX671 type photoelectric sensor to detect water flow is used in the system. And a new water electromagnetic valve is designed, the type of which is normally open and direct-operated. If closed, it will be self-locking state and not need power supply. But it needs be reset manually. The design program based on AT89C52 single-chip microcomputer not only displays water flow using LED but also controls the automatic shut-off function of electromagnetic valve.

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Li, Dang Juan. "The Design of an Intelligent Tracing Car Controller." Advanced Materials Research 411 (November 2011): 283–86. http://dx.doi.org/10.4028/www.scientific.net/amr.411.283.

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We focus on the design of an intelligent tracing car controller based on analog circuits. In this work, detectors, processing unit and driver module are acted as the Infrared tube, LM393 and the switch of transistor circuit respectively. The voltage comparison and filtering are finished after analyzing and processing the track information acquired. And the signal controls the driver circuit action. Therefore the intelligent tracking process was realized. The physical test results show that the design is simple, stable working and good following mark ability.

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Angelescu, Dorin, and Gheorghe Ion Gheorghe. "Intelligent Platform with BLDC Drives and Microsystems for Mechatronic Applications in Security and Surveillance." Scientific Bulletin of Valahia University - Materials and Mechanics 16, no. 15 (October 1, 2018): 25–29. http://dx.doi.org/10.1515/bsmm-2018-0015.

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Abstract Result of the Scientific Concerns from the Doctoral School of Mechanical Engineering and Mechatronics of the Valahia Târgovişte University and the research project of INCDMTM “INTEGRATED MECHATRONIC SYSTEM FOR HUMAN SECURITY INSURANCE FOR THE SAFETY OF OBJECTIVES AND INTERVENTIONS IN RISK - MISO ZONES” (project ID: PED-2016-0924, code PN-III-P2-2.1-PED-2016-0707) in the field of robotics, the scientific work “Intelligent Platform with BLDC Drives and Microsystems for Mechatronic Applications in Security and Surveillance “ is the completion of the experimental testing of controlling the movement of a security and surveillance robot, as part of the Ph.D. industrial thesis “Studies, research and contributions on the development of a smart mecatronic robot for security and surveillance applications”. The scientific work ultimately results in an intelligent, original platform that will be used to control the movement of the robot. The platform allows communication between the latest generation BLDC engine (embedded in the drive wheel) and it’s controller and a computerized microsystem that will handle the displacement controls and will also provide the link with the human operator through any remote guidance system that is used. Although designed for an intelligent security and surveillance mechatronic robot, this platform is proven to be extensively versatile for any other type of robot or mobile platform that uses BLDC wheel-drive engines. The project harmoniously combines Mechatronics, Cyber-MixMeatronic, Integronics and Artificial Intelligence into an Intelligent Interoperable Construction.

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Li, Yi Nan, Yu Long Liu, and Si Wei Liu. "Intelligent Car Movement Monitoring System Based on LabView." Applied Mechanics and Materials 220-223 (November 2012): 921–24. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.921.

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To resolve the problems that it’s difficult to observe the data of real-time motion state and controls parameters, and difficult to determine the running strategy, we come up with a system design based on virtual instruments and wireless data collection. This system can not only collect the intelligent car’s running speed, steering engine angle and wheelpath, but also draw the racing track, select and optimize the running strategy. This system has been proved that it can monitor the intelligent car accurately which shortens the debugging period greatly.

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Malloy, Thomas E., Christine Mitchell, and Oakley E. Gordon. "Training Cognitive Strategies Underlying Intelligent Problem Solving." Perceptual and Motor Skills 64, no. 3_suppl (June 1987): 1039–46. http://dx.doi.org/10.2466/pms.1987.64.3c.1039.

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Cognitive strategies underlying excellent performance of intelligent people on the Raven's Progressive Matrices Test were used to develop a teaching package. 24 subjects in a Cognitive Strategies group were trained using this teaching package. An Exposure group of 17 subjects were not trained but solved all the examples of puzzles in the package. A Control group, with 13 subjects, received no intervention. Subjects were pre- and posttested on matrix solving ability and were posttested on a Piagetian multiplicative classification task. The Cognitive Strategies group showed the greatest improvement pre- to posttest, followed by the Exposure group and then the Control group. The Cognitive Strategies group was superior to both controls on the Piagetian task, indicating a broad improvement in cognitive functioning.

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Han, Liang, Shi Chang Fu, and Hui Hui Hong. "A Study on the Intelligent Bladder Irrigation Technology." Applied Mechanics and Materials 551 (May 2014): 638–41. http://dx.doi.org/10.4028/www.scientific.net/amm.551.638.

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Bladder irrigation is one of the effective measures of prevention and control of urinary tract infection in patients with long-term indwelling catheter. Based on traditional artificial bladder irrigation technology, this paper presents a kind of intelligent bladder irrigator. The control system of this irrigator includes PLC and touch screen. The irrigator uses weighing sensor to monitor the weight of infusion bag in real time and controls pinch valve to switch the infusion tube. This paper has completed the design of the mechanical structure and control system. Intelligent bladder irrigator can realize the automation of traditional bladder irrigation.

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SEONGHUN AHN. "Zigbee-based Intelligent Classroom Network Simulator that controls with Smart Phone." International Journal of Advancements in Computing Technology 4, no. 7 (April 30, 2012): 70–80. http://dx.doi.org/10.4156/ijact.vol4.issue7.8.

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Preuveneers, Davy, and Wouter Joosen. "Security and privacy controls for streaming data in extended intelligent environments." Journal of Ambient Intelligence and Smart Environments 8, no. 4 (July 21, 2016): 467–83. http://dx.doi.org/10.3233/ais-160384.

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Zhao, Hong Yi. "Research and Development of Intelligent Tracing Robot Based on HCS12 SCM." Advanced Materials Research 462 (February 2012): 277–80. http://dx.doi.org/10.4028/www.scientific.net/amr.462.277.

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Research and develop an intelligent tracing robot system based on HCS12 SCM. The system uses Freescale HCS12 series 16-bit SCM MC9SXS128 as its central control unit and apply a CCD camera to obtain road image information. After analyzing and calculating obtained road image, the system controls servo steering and adopts PID control strategy to control the speed of DC motor. The result proves this method can make intelligent tracing robot system move forward quickly and smoothly following the black line.

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Preye, Uguta Henry, and Onyejegbu Laeticia Nneka. "An Intelligent Fuzzy Logic System for Network Congestion Control." Circulation in Computer Science 2, no. 11 (December 20, 2017): 23–30. http://dx.doi.org/10.22632/ccs-2017-252-69.

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Network congestion is a major problem in all network environments as such it calls for ways to manage this problem. In this paper, we propose a Fuzzy Regulator Effective Random Early Detection (FRERED) system, which is an intelligent fuzzy logic based controller technique for early stage congestion detection, at the router buffer in the networks. The proposed technique extends the Fuzzy-Based system in the Fuzzy Hybrid ERED algorithm by considering the delay variable in its inference system to ease the problem of parameter initialization and parameter dependency. Unlike the Fuzzy-Based controller in the existing Fuzzy Hybrid ERED system which uses two parameter settings in its inference system that is, the queue size and average queue length in computing the dropping probability of packets. The proposed technique uses the queue size, average queue length and the delay approximation as input variables in computing the packet drop probability. The applied fuzzy logic system yields an output that denotes a packet dropping probability, which in turn controls and prevents congestion in early stage. This was achieved after simulating the proposed technique and the existing Fuzzy-Based controller using Matlab. The results obtained shows that this approach results in less packet drops for about the same link utilization as the existing Fuzzy-Based controller. Therefore, this technique, generally, controls network congestion and improves network performance. The methodology used to achieve this is the object oriented methodology and JAVA programming language was used to develop the system.

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Satyanarayana, M. S., Aruna T M, and Divya G N. "Avoidance of Over Speed Through Intelligent Speed Breaking System." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 1 (April 1, 2018): 13. http://dx.doi.org/10.11591/ijict.v7i1.pp13-15.

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<p>Accidents have become major issue in Developing countries like India now a day. As per the Surveys 60% of the accidents are happening due to over speed. Though the government has taken so many initiatives like Traffic Awareness & Driving Awareness Week etc.., but still the percentage of accidents are not getting reduced. In this paper a new technique has been introduced in order to reduce the percentage of accidents. The new technique is implemented using the concept of Intelligent Speed Braking System. The Intelligent Speed Braking systems can be implemented any where essential in order to avoid the accidents. The main objective of this system is to calculate the speed of the vehicle at three different locations based on the place where the vehicle speed has to be controlled and if the speed is greater than the designated speed in that road then it will automatically open up the speed breaker to control the speed of the vehicle. If the speed is less or equal to the designated speed in that road then the vehicle will be passed without any disturbance. This system though it won’t avoid 100% accidents at least it will reduce the percentage of accidents. This is system is not only to avoid accidents it will also intelligently controls the speed of the vehicles and creates awareness amongst the drivers.</p>

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Vejendla, Swathi, and Dr M. Kamaraju. "FPGA IMPLEMENTATION OF INTELLIGENT EMBEDDED SYSTEM FOR DISTRIBUTED ELECTRICAL APPLIANCES." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 1 (August 1, 2012): 113–16. http://dx.doi.org/10.24297/ijct.v3i1b.2750.

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Now a days, Technology is veryimportant in daily life. In the offices, theusage of electronic appliances is increasingrapidly. So the demand for power is alsoincreasing. The power demand can be metupto some extent by reducing powerwastage. The proposed system reducespower wastage by switching off theelectrical appliances when not in use. Theproposed system controls the appliancesautomatically based on the need and isimplemented on FPGA in Xilinx platformusing Verilog HDL.

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Kumar, G. S. Satheesh, Chinnadurai Nagarajan, and M. Lizzy Nesa Bagyam. "A Survey on Smart Grid Distributed Power Flow: IEC61850, IEC 61499 and Intelligent Controls." Applied Mechanics and Materials 573 (June 2014): 346–51. http://dx.doi.org/10.4028/www.scientific.net/amm.573.346.

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A Recent concept of distribution infrastructure plays a vital role in the efficient utilization of energy. To avoid global warming and greenhouse gas emission, carbon based power plant should be replaced with distributed renewable energy (DRE) such as wind, solar etc. Renewable energy resources can be integrated to grid by intelligent electronic devices (IED). This paper deals with the novel automation architecture that supports power distribution systems to avoid power blackout and also it briefs the major requirement of the smart grid distribution system needed for a competitive world. International standard IEC 61850 and IEC 61499 provides a solution for substation automation through intelligent logical nodes (ILNs) which enhances interoperability and configurability.Later an open source platform is used for enhancing the communication that automatically generates the data model and communication nodes for intelligent electronic devices.However for future requirements in smart grid, the addition of new functions as well as the adaptation of function for IEDs is necessary. A concept of reconfigurable software architecture is introduced for integrating distributed and renewable energy resources. Such interfaces and services provide adaptation of the functional structure and contribute efficient Smart Grid system. This survey summarizes the communication infrastructure of smart energy system.

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Morimoto, Tetsuo, and Yasushi Hashimoto. "An Intelligent Control Technique Based on Fuzzy Controls, Neural Networks and Genetic Algorithms for Greenhouse Automation." IFAC Proceedings Volumes 31, no. 5 (April 1998): 61–66. http://dx.doi.org/10.1016/s1474-6670(17)42098-2.

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Wang, Xian Lun, Yong Wang, and Yun Na Xue. "Application of an Intelligent Force Controller for Robotic Deburring Process." Materials Science Forum 532-533 (December 2006): 456–59. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.456.

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To achieve the desired dynamic impedance and the smooth chamfer contour, some adaptive controls and intelligent control schemes are incorporated in the impedance control for uncertain constrained robot systems. Most of them still result in an uneven chamfer for its characteristics in nature as the burrs vary highly. In this paper, an intelligent force controller based on impedance control with a neural network compensator is proposed for the robotic deburring process. The compensator is used to deal with the various burrs by modifying the input command according to the contact force and reference position. The performance of the intelligent force controller is compared with the conventional impedance control. The effectiveness of the proposed approach is testified by simulation experiments of the robotic deburring process.

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Klingenberg, Bjorn. "Opportunities for Progressive Deployment of Intelligent Transportation Systems/Automated Highway System Technologies in Support of Commercial Vehicle Operations." Transportation Research Record: Journal of the Transportation Research Board 1651, no. 1 (January 1998): 107–10. http://dx.doi.org/10.3141/1651-15.

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The U.S. Department of Transportation has undertaken the Intelligent Vehicle Initiative (IVI) to improve transportation safety and productivity by accelerating the progressive deployment of intelligent transportation systems/automated highway system (ITS/AHS) technologies. Commercial vehicle operations (CVO) stand a unique chance to benefit from this initiative. Truck manufacturers and the trucking industry have made great progress in raising the standards of safety and operating efficiency over the past few years, but further significant advancements can be accomplished only by increased automation of vehicle controls and operations. That opportunity is addressed.

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Chen, Jing Jing, Qing Xie Chen, and Yi Biao Fan. "The Study of Intelligent Smart Car Based on msp430." Advanced Materials Research 1006-1007 (August 2014): 901–4. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.901.

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In this paper a method of designing intelligent smart car based on msp430 MCU is introduced. The method uses automatic control theory, detection technology, and the mcu receives signals which were collected and transmitted by the sensors fixed in front of the car and tyre, then controls the navigation of the motor to make the car go forward or change direction with unmanned operation system. The paper shows the design of both the hardware and software of the intelligent car system. The tests show that the smart car functions well as expected. Also, the design can be applied in automatic parking system and manufacturer transportation.

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Mohammed, Saeed, Chong Chee Soon, Rozaimi Ghazali, Ahmad Anas Yusof, Yahaya Md Sam, and Chai Mau Shern. "An Electro-Hydraulic Servo with Intelligent Control Strategy." MATEC Web of Conferences 150 (2018): 01016. http://dx.doi.org/10.1051/matecconf/201815001016.

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Versatile engineering applications have been developed to assist, reduce, and avoid human being from any heavy or harmful manufacturing processes. The gradually increased demand in force and position controls have simultaneously increased the usage of Electro-Hydraulic Servo (EHS) system. However, the time varying characteristics such as high-speed, outburst starting and stopping dynamic have led the EHS system to suffer from uncertainties and nonlinearities effects. Therefore, in order to enhance the performance of an EHS to surmount the uncertain and nonlinear effects, a hybrid Fuzzy-PID control strategy is developed which particularly improve the accuracy of the system by enhancing the control performance during the positioning tracking. By measuring the performance of the proposed control approach, the transient response and steady-state analysis will be performed which taking linear and intelligent control strategies as the references in the assessment process. The finding indicates the capability of a hybrid Fuzzy-PID controller in reducing the control effort applied to the EHS system.

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Кузькина, N. Kuzkina, Лаврушина, E. Lavrushina, Севрюгина, and N. Sevryugina. "INTRODUCTION OF INFORMATION AND TELECOMMUNICATION SYSTEMS MANAGEMENT MECHANISM VEHICLES." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (December 17, 2015): 786–89. http://dx.doi.org/10.12737/19564.

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The analysis of the intensity of the development of intelligent transport systems. The efficiency of information and telecommunications systems in the mechanism of driving. Designed chart of the events occurrence dangerous situation in case of failure of controls on the example of the lighting system

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Taiwo, Olutosin, and Absalom E. Ezugwu. "Internet of Things-Based Intelligent Smart Home Control System." Security and Communication Networks 2021 (September 23, 2021): 1–17. http://dx.doi.org/10.1155/2021/9928254.

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The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

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Cui, Zhong Wei, Yong Zhao, and Hui Yuan. "An Intelligent Manufacturing System Based on WSN and RFID in Industrial Plants." Applied Mechanics and Materials 513-517 (February 2014): 1256–60. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1256.

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The intelligent manufacturing systems are in networked framework via a variety of networking communication systems integrating the heterogeneous collections of manufacturing worker, material, devices and real-time information. This paper presents a intelligent manufacturing system that is implemented by Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN). The system monitors and controls with the clear objective of maximizing the Quality of Service (QoS) provided by the manufacturing resources and to analyze and make decision. This study describes the design and implementation of the system developed as well as performance testing and evaluation results, in terms of system transmission delay and energy consumption.

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IIMURA, Miki, Taichi SATO, and Kihachiro TANAKA. "INT-02 Control of human generating force by use of acoustic information : Study on artificial sounds for small force controls(Intelligent Machines I,Technical Program of Oral Presentations)." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2009 (2009): 33–34. http://dx.doi.org/10.1299/jsmemipe.2009.33.

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RUNDE, CHRISTOPH, HOLGER JOOSTEN, MARKUS MERSINGER, and SABINE BIERSCHENK. "INTELLIGENT MANUFACTURING SYSTEMS PROJECT IRMA — LINKING VIRTUAL REALITY TO SIMULATION." Journal of Advanced Manufacturing Systems 02, no. 01 (June 2003): 105–10. http://dx.doi.org/10.1142/s0219686703000241.

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An international group of industrial companies and research institutions is actually creating an integrated platform for industrial process control, process design, staff training and product design. By linking simulation and virtual reality, project IRMA (A Configurable Virtual Reality system for multi-purpose industrial manufacturing applications) is to improve manufacturing performance. The core integration module is the Delfoi INTEGRATOR™, a PC based message broker used to link a virtual environment and a production/failure database scenario, to different simulations (QUEST and ARENA material flow simulation, IGRIP robot kinematics simulation) or to programmable logic controls using their OPC interface.

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Zhou, Jialu, Xiaoqiang Li, Wenfeng Wang, and Xi Chen. "Analysis of Environmental Controls on the Quasi-Ocean and Ocean CO2 Concentration by Two Intelligent Algorithms." Mathematical Problems in Engineering 2021 (May 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/6666139.

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Previous studies have demonstrated CO2 absorption by soils in arid regions, where the absorbed CO2 is conjectured to be finally sequestrated in the “subterranean ocean”—groundwater. This study compares environmental controls of ocean CO2 concentration (surface ocean pCO2) and quasi-ocean CO2 concentration (deep-soil pCO2). We aim to explore the latent relationship, both linear and nonlinear between the environmental variables, and CO2 concentration, utilizing two intelligent algorithms—the partial least linear regression (PLSR) algorithm and the artificial neural network (ANN) algorithm. For quasi-ocean CO2 concentration, RPD <1.4 and R2 <40%. While for ocean CO2 concentration, RPD >1.4 and R2 is 99.7%. Linear relationships between the considered environmental controls and ocean CO2 concentration are proved; however, there is no evident relationship between most of the considered environmental controls and quasi-ocean CO2 concentration. Groundwater level is proved to be a relatively important environmental control on the quasi-ocean CO2 concentration, suggesting groundwater discharge/recharge as a significant modulator of soil CO2 absorption in arid regions.

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Journal articles on the topic 'Intelligent Controls'

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