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1

Kapgate, Deepak. "Wireless Streetlight Control System." International Journal of Computer Applications 41, no. 2 (2012): 1–7. http://dx.doi.org/10.5120/5510-7500.

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Sathe, Minal Dilip, Priyanka Sandesh Nikam, and Gajanan Khapre. "Wireless Charging Control for Electric Vehicles." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 4317–21. http://dx.doi.org/10.22214/ijraset.2023.52478.

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Abstract: Wireless power transmission is a way to transmit power without a wire. Wireless power transmission helps connect areas where people do not have access to an adequate power source. Anyone can get clean and green wireless power. From now on, all devices will be connected to the power source wirelessly. Wireless charging for electric vehicles has been in development for several years before the widespread use of these vehicles. Today, wireless charging systems offer an efficient and flexible way to charge electric vehicles of several categories and different capacities from a common base source. Standardization work is well underway to ensure system compatibility between vehicles and locations. In this paper, we presented successful experimental experiments for wireless power transmission and the future scope of wireless power transmission in electric vehicles
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C. BENJAMIM, XIANKLEBER, FELIPE O. S. GAMA, ANDRÉS O. SALAZAR, and LUIZ F. Q. SILVEIRA. "Wireless Control System with Model Based Control." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 5, no. 9 (2016): 7513–17. http://dx.doi.org/10.15662/ijareeie.2016.0509053.

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4

C. Benjamim, Xiankleber, Felipe O. S. Gama, Andrés O. Salazar, and Luiz F. Q. Silveira. "Wireless Control System with Model Based Control." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 5, no. 9 (2016): 7512–17. http://dx.doi.org/10.15662/ijareeie.2016.0509070.

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5

Attachie, Joseph C., George Owusu, and Shiphrah O. Adu. "Enhancement of Wireless Lighting Control System." Journal of Electrical and Computer Engineering 2021 (October 5, 2021): 1–7. http://dx.doi.org/10.1155/2021/9287891.

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The rapid increase in wireless technology has enormously increased wireless control of lighting system in residential, commercial, and industrial settings of many countries across the world. However, this system lacks troubleshooting interface, making it very difficult for the identification of faults in the lighting system. This paper therefore seeks to improve on the wireless lighting system by incorporating into the system two types of sensors such as the current sensor and light dependent resistance (LDR). The current sensor is functioned to determine fault in power supply, whilst the LDR determines fault due to damage in the AC lamp. The proposed system was first simulated with Proteus software to observe the set objectives. A successful simulation resulted in the implementation of the system. The results discussed prove that incorporating wireless technology with current sensor and LDR will make troubleshooting easy and effective when the need arises.
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Kouki, Rihab, Hichem Salhi, and Faouzi Bouani. "Embedded predictive control strategy based on Internet of Things technology: Application to a thermal process under imperfect wireless network." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 7 (2019): 775–91. http://dx.doi.org/10.1177/0959651819890954.

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This article is concerned with the design of wireless-networked control framework based on Internet of Things technology and predictive control strategy to remote control a thermal benchmark system. In order to improve the control performance of systems, an autonomous real-time solution is proposed for handling network problems. The adopted control strategy is divided into two cooperative parts under a master–slave architecture, in which two STM32 microcontrollers are investigated. The slave board is connected closely to the process and the master one is a distant controller. The microcontrollers communicate wirelessly through the Transmission Control Protocol/Internet Protocol. In the master board, a model predictive output-estimator-based controller is designed to control wirelessly the benchmark system, even though the incoming outputs from the slave board are lost. However, a buffered structure is implemented on the slave board to compensate the input losses of the arrived control sequences. The performance of the proposed wireless-networked predictive control compensation strategy for packet loss and perturbation handling in the wireless-networked control system in this work is verified through different experimentation conditions. Also, a comparative study with a wireless-networked proportional integral controller is performed to demonstrate the effectiveness of wireless-networked predictive control strategy for practical Internet of Things applications.
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Sudarma, Made, IBA Swamardika, and IW Dani Pranata. "Design and Implementations of Control System Quadruped Robot Driver Application Based on Windows Platform." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 2 (2015): 251. http://dx.doi.org/10.11591/ijece.v5i2.pp251-258.

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Wireless remote device control system is a controlling method which is widely used in various fields. By using wireless communication media, remote control system becomes more efficient and flexible. Computer application is one of the devices which can be used to perform remote controlling. Computer application can be made in accordance with the need of its users in conducting device controlling from the distance. Remote controlling is also can be applied on the robotic field. One of the examples is wireless remote controlling of Quadruped Robot. By utilizing its Windows application such as Visual Basic in order to establish communication with wireless communication module such as Xbee-PRO, a control system can be designed which can be used to control the movement of Quadruped Robot wirelessly. Wireless communication module is also has to be installed and able to perform data communication with the device to be controlled that is Quadruped Robot. The addition of camera which is also using wireless communication system will be very helpful for the users in knowing the condition around Quadruped Robot.
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8

Hua, Chang-Chun, Ying Zheng, and Xin-Ping Guan. "Modeling and control for wireless networked control system." International Journal of Automation and Computing 8, no. 3 (2011): 357–63. http://dx.doi.org/10.1007/s11633-011-0592-2.

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9

Ye, Shuang. "Optimization Method for Wireless Control System Fault Detection." Advanced Materials Research 846-847 (November 2013): 782–85. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.782.

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Wireless network control system has high failure rate, and is difficult to be diagnosed. Wireless network transmission signal effectively reflect the failure categories. In order to effectively detect the wireless network control system fault, this paper presents a fault detection method of correlation dimensional nonlinear timing characteristics for wireless network transmission signal, which mainly improves the traditional correlation dimension extraction algorithm. The method processes and analyzes the collected transmission signal of four types wireless network control system in fault condition, and then extract fault feature through an improved correlation dimension algorithm. It improves the calculation accuracy of the correlation dimension with a standard deviation 15% -30% than that of the traditional algorithm, and it significantly enhances the clustering distribution characteristics, reflecting its superiority in fault detection. Fault detection results show that the improved feature extraction method for correlation dimension can effectively detect failure in wireless network control system, whose accuracy is improved by 21.4%, and has great practical value.
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10

Murakami, Hiroaki, Kiyoshi Nakaya, and Katunori Yamane. "Wireless lighting control system for museum." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 84, Appendix (2000): 177. http://dx.doi.org/10.2150/jieij1980.84.appendix_177.

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11

Jasim, Sabbar Insaif. "An AC Wireless Remote Control System." Tikrit Journal of Engineering Sciences 19, no. 3 (2012): 79–96. http://dx.doi.org/10.25130/tjes.19.3.08.

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The aim of this research is to design a multi-job control system for controlling on different job on home or office by using a simple scientific technique. Making more holes on walls of home to connect a wire or control cable for any job does not desired.The research is aiming to design a wireless control system. This control system can send any command to any device in the home or office without making any more holes in walls.This research depends on using the 220 VAC 50 Hz wires, which had been provided in home or office. The frequencies used to control the devices will be carried by the 50 Hz current used in home. These frequencies have been chosen between 30-110 kHz, and we can use (8) channels in this band to prevent interference of commands. The wireless control on the devices will be done by using a PC computer and simple BASIC program. ON-OFF command can be sent by the operator to any device by a transmitter built and interface with that compute.
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Jang, Jae-min, Soo Young Shin, Yong-ju Ji, and Seog Chae. "Wireless Control System Using Spherical Camera." Journal of Korean Institute of Communications and Information Sciences 41, no. 4 (2016): 461–66. http://dx.doi.org/10.7840/kics.2016.41.4.461.

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13

Antipov, V., and V. Kononov. "Wireless Control System for Mining Machine." IFAC Proceedings Volumes 20, no. 8 (1987): 73–74. http://dx.doi.org/10.1016/s1474-6670(17)59073-4.

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Muhammad Razif, Muhammad Rusydi, Preetharan Ravindran, Ili Najaa Aimi Mohd Nordin, and Nor Saradatul Akmar Zulkifli. "Automatic Irrigation System using Wireless Control." ELEKTRIKA- Journal of Electrical Engineering 18, no. 3-2 (2019): 42–46. http://dx.doi.org/10.11113/elektrika.v18n3-2.199.

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Traditional methods of irrigation and fertilizing is very time consuming for farmers. Over-irrigation as well as leaching of fertilizers below the root zone, erosion, and transport of soil and chemical particles to the drainage ditches can increase energy and water consumption in farming. A single systems combining irrigation and fertilizing will greatly reduce the cost and time needed in farming. There are two types of fertilizers available for home gardener – granular and water-soluble fertilizers. Generally, granular fertilizers release nutrient gradually but can last longer than water-soluble fertilizers. This project will provide an automated system for irrigation and fertilizing for plantation using Arduino as the microcontroller. This system will include a mobile application to control the amount of water during the irrigation and fertilizing processes. The microcontroller communicates with the mobile application via internet using the Wi-Fi modulator. Then, the microcontroller processes the information and operates the irrigation and fertilizing pumps which supplies water and fertilizer through the sprinkler system in the field. Any feedback will be sent to the user through the mobile application.
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15

Sadi, Yalcin, and Sinem Coleri Ergen. "Joint Optimization of Wireless Network Energy Consumption and Control System Performance in Wireless Networked Control Systems." IEEE Transactions on Wireless Communications 16, no. 4 (2017): 2235–48. http://dx.doi.org/10.1109/twc.2017.2661280.

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16

Ding, Jie Ming, Zhen Zhong Li, Wei Bo Li, Pin He, and Yang He. "A Remote Intelligent Control System for Split Air Conditioning System." Applied Mechanics and Materials 325-326 (June 2013): 1162–65. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1162.

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Combined wireless sensor network technology (WSN) and infrared control technology this paper designs an intelligent control system for split air conditioner (ACSS). The system adopts the SimpliciTI protocol and a highly integrated chipset, CC1110, as wireless sensing node, which it has high efficiency and lower power. The intelligent remote control unit of the system is capable of signal conversion, wireless communication as well as infrared control ability. In order to suit different air conditioners, the system establishes a control code library by learning a variety of air-conditioning infrared control signals. The control parameters optimized by the system server are transmitted to the intelligent terminal and then fires the infrared control signal to the air conditioner. Therefore, the system achieves the purpose of the remote intelligent controlling.
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17

Wang, Kun Qi, Lei Xiong, Bao Chen Yang, and Chen Cong Meng. "Video Transmission Control System Based on 3G Wireless Network." Applied Mechanics and Materials 423-426 (September 2013): 2621–24. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2621.

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A wireless video transmission system is put forward in this paper. It is constituted by 3G wireless networks and ARM11. Collecting video data is used by V4L2 technology, and the H.264 video codec is used by S3C6410 processors the MFC module. The video codec is sent to remote monitoring center via 3G wireless network. The System can complete video capture, coding, wireless transmission and decoding, and displaying on the LCD. The experiment show the system can achieve wireless remote monitoring.
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18

Huang, Wu Xin, Shi Li Tan, and Yi Qin Li. "Multi-Robot Control System Based on Wireless Network." Applied Mechanics and Materials 128-129 (October 2011): 629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.629.

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A designed network control system of multi mobile robot is presented. It is based on wireless distribution system. One or more mobile robot and some other devices are connected via wireless network to form a network control system. More than one wireless node is provided in order to realize distribution wireless network and extend the coverage range. The hierarchy control structure is used in the robot control system. It is optimized by the features of the network control system especially in time delay. By testing the time delay in different network environment, the performance of the whole control system can be proved.
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19

Nada, N. Tawfeeq, J. Marie Mehdi, and S. Gaeid Khalaf. "Computer control of teaching enhancement by communication networked." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 736–44. https://doi.org/10.11591/ijeecs.v18.i2.pp736-744.

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Enhancement of teaching and education is crucial. This enhancement is rapidly improved through combining communication and technology resulting in various benefits (particularly the wireless Technologies (WT)). Such combination encourages lecturers to meet the worldwide demand for changing traditional teaching techniques to technology-based methods. Wireless system networks (WSNs) represent systems of smart devices that are linked wirelessly. In addition, these devices are characterized by having a bandwidth of bounded communication, abilities of sensing and computation. For performing operations of control, this system employs a Flywheel Position Control System (FW PCS) as a plant node. This study utilizes the True Time 1.5 MATLAB/Simulink platform for simulating and implementing the WSN mathematical model with wireless networks. The simulation is carried out between plant nodes and controller using the IEEE 802.15.4 standard (also called ZigBee) via protocols of Wi-Fi. The suggested E-learning model comprises a set of properties that can encourage and enhance the level of students in various learning purposes and stages.
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20

Sharad, Chandra Rajpoot* 1. &. Prashant Singh Rajpoot 2. "SCRUTINY OF COMMERCIAL AUTOMATION SYSTEM TO MONITOR & CONTROL THE LOAD VIA BLUETOOTH." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 7 (2018): 75–86. https://doi.org/10.5281/zenodo.1305842.

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Microcontroller based our system is getting popular and widely used in a lot of houses worldwide. It has tons of advantages to users even more to the handicapped and /or elderly users in which it will make it easier for them to control their appliance. Home automation system can be labeled to two labeled to two medium in which how it is connected and they are either wired or wirelessly connected. The main difference between these two kinds is that home appliances are linked wirelessly a central controller if it a wireless home automation system. On the other hand, the appliances are connected to a central controller if the medium use wired communication method. Wireless system had been introduced in order to dispose of wired communication among home appliances. Adriano based, Bluetooth based home automation will be applied.
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He, Hong, Xiao Jun Xu, Zhi Hong Zhang, and Cheng Qian Mao. "Industrial Remote Control System Based on C8051F120." Applied Mechanics and Materials 743 (March 2015): 176–79. http://dx.doi.org/10.4028/www.scientific.net/amm.743.176.

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In order to solve the potential safety risk of traditional industrial remote control, a deep research on embedded and wireless communication theory has been done and a wireless remote control system with the C8051F120 single chip as the main control chip has been invited. Data can be sent and received steadily between transmitting terminal and receiving terminal in this system even in unfavorable environment, which largely improves the safety and reliability for long-distance operation. This system, with the feature of small size, easy installment, low power consumption and excellent wireless transmission, can be applied to industrial machinery such as pump car and wall-climbing robot.
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Lai, Jinxing, Junling Qiu, Jianxun Chen, Yaqiong Wang, and Haobo Fan. "Application of Wireless Intelligent Control System for HPS Lamps and LEDs Combined Illumination in Road Tunnel." Computational Intelligence and Neuroscience 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/429657.

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Because of the particularity of the environment in the tunnel, the rational tunnel illumination system should be developed, so as to optimize the tunnel environment. Considering the high cost of traditional tunnel illumination system with high-pressure sodium (HPS) lamps as well as the effect of a single light source on tunnel entrance, the energy-saving illumination system with HPS lamps and LEDs combined illumination in road tunnel, which could make full use of these two kinds of lamps, was proposed. The wireless intelligent control system based on HPS lamps and LEDs combined illumination and microcontrol unit (MCU) Si1000 wireless communication technology was designed. And the remote monitoring, wireless communication, and PWM dimming module of this system were designed emphatically. Intensity detector and vehicle flow detector can be configured in wireless intelligent control system, which gather the information to the master control unit, and then the information is sent to the monitoring center through the Ethernet. The control strategies are got by the monitoring center according to the calculated results, and the control unit wirelessly sends parameters to lamps, which adjust the luminance of each segment of the tunnel and realize the wireless intelligent control of combined illumination in road tunnel.
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PROF., A. R. WADHEKAR. "SENSOR NETWORK FOR ENVIRONMENT MONITORING SYSTEM USING IOT AND DEVICE CONTROL SYSTEM." IJIERT - International Journal of Innovations in Engineering Research and Technology 3, no. 11 (2016): 45–51. https://doi.org/10.5281/zenodo.1462539.

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<strong>The system is combined with the micro controller programmable technology and intelligent device specification. By detecting the values of sensors it can easily find out the tempera ture,light,gas present in the given area . So that critical condition can be avoided and preventive measures are successfully implemented. In system zigbee is used as wireless module at both ends for transferring the data from one section to other section. This paper deals with industrial environment monitor and device control using micro controller . In industries there is need for data monitoring and supervisory control which overcomes human intervention as well as overall efficiency and safety</strong> <strong>https://www.ijiert.org/paper-details?paper_id=140967</strong>
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Wen, Chang Bao, Li Hong Gao, Ying Fei Fu, Yan Ming Li, and Yong Feng Ju. "Study on Wireless Weighing System." Applied Mechanics and Materials 644-650 (September 2014): 1365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1365.

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In order to achieve the wireless operation of the data collected and system monitoring in the weighing equipment, a wireless weighing system design was proposed. This scheme combines with the weighing control technology and the wireless communications technology. The weighing system includes the pressure sensor, the signal processing module, the microprocessors, wireless data transceiver module, the infrared module, the memory module, the display module and the control module. Based on the experiment of ten different targets ranged from 5kg to 50kg, the wireless weighing system was measured and analyzed. Experimental results show that the maximum error rate of the wireless weighing system is 0.2%, and wireless transmission distance reaches two hundred meters.
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25

Tawfeeq, Nada N., Mehdi J. Marie, and Khalaf S. Gaeid. "Computer control of teaching enhancement by communication networked." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 736. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp736-744.

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&lt;span&gt;Enhancement of teaching and education is crucial. This enhancement is rapidly improved through combining communication and technology resulting in various benefits (particularly the wireless Technologies (WT)). Such combination encourages lecturers to meet the worldwide demand for changing traditional teaching techniques to technology-based methods. Wireless system networks (WSNs) represent systems of smart devices that are&lt;em&gt;&lt;/em&gt;linked wirelessly. In addition, these devices are characterized by having a bandwidth of bounded communication, abilities of sensing and computation. For performing operations of control, this system employs a Flywheel Position Control System (FW PCS) as a plant node. This study utilizes the True Time 1.5 MATLAB/Simulink platform for simulating and implementing the WSN mathematical model with wireless networks. The simulation is carried out between plant nodes and controller using the IEEE 802.15.4 standard (also called ZigBee) via protocols of Wi-Fi. The suggested E-learning model comprises a set of properties that can encourage and enhance the level of students in various learning purposes and stages. &lt;/span&gt;
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Choi, Yeon Beom, Kee Jun Nam, Woo Jun Kim, and Doo Hee Jung. "A Wireless Control System for 3D Microscope." Applied Mechanics and Materials 459 (October 2013): 267–70. http://dx.doi.org/10.4028/www.scientific.net/amm.459.267.

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This paper proposes a wireless control system for a 3D Microscope which is designed to move in two directions - polar and azimuth angle. Both angles are controlled with electric motors based on the users joystick command and the pechan prism motor is controlled to compensate image rotation whiling moving in polar angle. Since 3D microscope can be used for arbitrary rotation in azimuth angle, wireless control system is proposed to avoid twisting of power and signal wires. The validity of our system is shown through experimental works.
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Li, Chunmei, Bin Li, and Guohong Shi. "Design of Electronic Remote Control System Based on Wireless Sensor." International Journal of Online Engineering (iJOE) 13, no. 05 (2017): 146. http://dx.doi.org/10.3991/ijoe.v13i05.7057.

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&lt;p class="0abstract"&gt;A wireless remote sensing system based on wireless sensor network solution is proposed, to achieve the remote control of home appliances. The remote control system uses STM32F103 chip as the main controller of the smart home system, and applies the CC1110 radio frequency module as the communication node of the home wireless sensor network. Through the Simplici TI network protocol, these nodes together are put forward to form a small home LAN. Then, combining with GPRS wireless communication technology and Web Internet technology, these nodes to the remote server are collected. The results showed that through the user's mobile terminal access, it can form a wireless remote monitoring system. The conclusion is drawn that an intelligent home remote monitoring system based on wireless sensor network is feasible and it has good performances.&lt;/p&gt;
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Chen, En Xiu, and Yong Jun Zhang. "Wireless Temperature Monitoring System Based on ZIGBEE." Advanced Materials Research 1008-1009 (August 2014): 510–13. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.510.

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In order to solve the inconvenience of line arrangement under bad environment and the maintenance difficulty, a design method of a wireless temperature monitoring system based on ZIGBEE is given. The system uses RemoDAQ-8000 as temperature sensor and control platform, ZIGBEE wireless communication for wireless communication network. Through five groups based on ZIGBEE. The temperature control experiment, obtained the first-hand information, so as to realize the wireless monitoring; at the same time, the system can be in the local area network, using C/S and B/S two ways to control and query. Experiments show that using wire communication, ZIGBEE wireless communication instead of the traditional, can have an important effect in the field of process control
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Lee, Min-Fan Ricky, Fu-Hsin Steven Chiu, Hsuan-Chiao Huang, and Christian Ivancsits. "Generalized Predictive Control in a Wireless Networked Control System." International Journal of Distributed Sensor Networks 9, no. 12 (2013): 475730. http://dx.doi.org/10.1155/2013/475730.

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30

D'Innocenzo, A., C. Rinaldi, M. D. Di Benedetto, and F. Santucci. "Hybrid power control on a wireless networked control system*." IFAC Proceedings Volumes 45, no. 9 (2012): 166–71. http://dx.doi.org/10.3182/20120606-3-nl-3011.00078.

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31

Florencio, Heitor, Adrião Dória Neto, and Daniel Martins. "ISA 100.11a Networked Control System Based on Link Stability." Sensors 20, no. 18 (2020): 5417. http://dx.doi.org/10.3390/s20185417.

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Wireless networked control systems (WNCSs) must ensure that control systems are stable, robust and capable of minimizing the effects of disturbances. Due to the need for a stable and secure WNCS, critical wireless network variables must be taken into account in the design. As wireless networks are composed of several links, factors that indicate the performances of these links can be used to evaluate the communication system in the WNCS. This work presents a wireless network control system composed of ISA 100.11a sensors, a network manager, a controller and a wired actuator. The system controls the liquid level in the tank of the coupled tank system. In order to assess the influence of the sensor link failure on the control loop, the controller calculates the link stability and chooses an alternative link in case of instability in the current link. Preliminary tests of WNCS performance were performed to determine the minimum stability value of the link that generates an error in the control loop. Finally, the tests of the control system based on link stability obtained excellent results. Even with disturbances in the network links, the control system error remained below the threshold.
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Lu, Hong De. "The Development of the Wireless Remote Control System for Warm Room Ills’s Ozone Control Machine." Advanced Materials Research 912-914 (April 2014): 1461–64. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1461.

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In order to meet the wireless remote control function for warm room illss ozone control machine, The wireless remote control system is developed. Wireless remote control system can make the staff implement the inside greenhouse environment monitoring easy need not to enter the warm room. Not only conducive the staff health, but also saves the manpower and material resources,satisfy the use requirement.
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Chu, Jian-Ya, and Terng-Yin Hsu. "A Shadowing-aware Automatic Gain Control Scheme for OFDM Wireless Communication System." SIJ Transactions on Computer Networks & Communication Engineering 02, no. 04 (2014): 19–25. http://dx.doi.org/10.9756/sijcnce/v2i4/0203090401.

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34

Jing, Xing Hong, and Chen Liu. "Design of Zigbee Technology-Based Wireless Intelligent Home Control System." Advanced Materials Research 765-767 (September 2013): 1822–25. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1822.

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This article is about the wireless intelligent home control system design for 2.4GHz wireless communication with the central control board STM32 based on Zigbee technology, and adopting CC2430 module to form wireless sensor networks. The system consists of a main controller and multiple wireless network nodes to enable the users to easily and conveniently control and monitor the home environment and security. With advantages of easy use, simple operation, convenient networking, and good scalability, the system has good application prospects.
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35

Taha, Shatha A., Mehdi J. Marie, and Anas A. Hussein. "Wireless Networked Optimal Controllers for Multiple Plants." International Journal of Current Engineering and Technology 11, no. 02 (2021): 215–21. http://dx.doi.org/10.14741/ijcet/v.11.2.12.

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The wireless communication technologies nowadays are the most common ubiquitous innovations used in our life. It is much easier to run than wired one, and its applications are increasing steadily. It is now extensively utilized in wireless equipment controlling during the continuous development. That is, from a reasonable distance, we can monitor and control our electronics and electrical equipment. It can be said that tools can only be managed with a controller in hand from a distance without being close to the controller. One of the popular technology requirements in the present time is wireless technology. In this article, the proposed multi plant multi controller (MPMC) system is based on wireless sensor networks (WSNs). The aims are to design and implement of wireless closed-loop optimal control system for multiple plants. The system consists of two main parts: the station part and the sensing part. The station part is designed for the purpose to control the system through the graphical user interface (GUI) designed in the LabVIEW program that gives signals to the sensing part wirelessly through the ZigBee nodes. The sensing part receives a signal from the station part wirelessly through the ZigBee node and used a wireless speed sensor to calculate the speed of connecting DC motors. Then, the sensing part returns the measure reading to the station side through another ZigBee node, to show the result in the GUI controlling the operations of the two plants. The work proves the feasibility of implementing the optimal MPMC systems through wireless networks using ZigBee technology.
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36

Nayyef, Iman Mohammed, and Anas Ali Hussien. "Intelligent power monitoring and control with wireless sensor network techniques." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 1112. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp1112-1122.

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&lt;span&gt;Undoubtedly, there is a necessity for establishing a more intelligent power system in the existing energy system, which is increased according to the development of wireless system network (WSN) and the Internet of Things (IoT). This study presents intelligent power monitoring and control with wireless sensor network techniques, based on WSNs and IoT technologies is designed to manage real-time power at buildings. This system includes a complete network of wireless sensing node, base station and a smart home gateway. A sensing node is utilized as wireless sensors to measure voltage and current and to calculate power consumption of connected appliances that are transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer with the possibility of controlling ON and OFF appliances according to consumer requirements. All of these readings are stored at database for analysis. In addition, a smart home gateway is used to connect the system with internet, allowing consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system is that the mechanism of appliances control can be done in different ways (manually, automatically and remotely). To ensure better accuracy of the equipment many appliances are tested and compared with practical measurement. Best results are obtained for the error, voltage, current and the power. &lt;/span&gt;
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37

Iman, Mohammed Nayyef, and Ali Hussien Anas. "Intelligent power monitoring and control with wireless sensor network techniques." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 1113–22. https://doi.org/10.11591/ijeecs.v18.i2.pp1113-1122.

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Abstract:
Undoubtedly, there is a necessity for establishing a more intelligent power system in the existing energy system, which is increased according to the development of wireless system network (WSN) and the Internet of Things (IoT). This study presents intelligent power monitoring and control with wireless sensor network techniques, based on WSNs and IoT technologies is designed to manage real-time power at buildings. This system includes a complete network of wireless sensing node, base station and a smart home gateway. A sensing node is utilized as wireless sensors to measure voltage and current and to calculate power consumption of connected appliances that are transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer with the possibility of controlling ON and OFF appliances according to consumer requirements. All of these readings are stored at database for analysis. In addition, a smart home gateway is used to connect the system with internet, allowing consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system is that the mechanism of appliances control can be done in different ways (manually, automatically and remotely). To ensure better accuracy of the equipment many appliances are tested and compared with practical measurement. Best results are obtained for the error, voltage, current and the power.
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38

Jie, Dong. "Wireless Group Control System Applied in Plantation Irrigation System." Advance Journal of Food Science and Technology 5, no. 11 (2013): 1418–22. http://dx.doi.org/10.19026/ajfst.5.3359.

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39

Toroshanko, O. S., and A. G. Zakharzhevskyi. "Control system parameters of wireless communication network." Telecommunication and information technologies 66, no. 1 (2020): 33–44. http://dx.doi.org/10.31673/2412-4338.2020.013344.

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40

Ulusoy, Alphan, Ahmet Onat, and Ozgur Gurbuz. "Wireless Model Based Predictive Networked Control System." IFAC Proceedings Volumes 42, no. 3 (2009): 40–47. http://dx.doi.org/10.3182/20090520-3-kr-3006.00007.

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41

KOBAYASHI, TERUO. "New Train Control System by Wireless Communication." Journal of the Institute of Electrical Engineers of Japan 117, no. 10 (1997): 695–98. http://dx.doi.org/10.1541/ieejjournal.117.695.

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42

M. K. G. Abbas, Khaled M. A. Ahmed,. "Wireless DC Motor and Breaking Control System." International Journal of Innovative Research in Science, Engineering and Technology 5, no. 8 (2016): 14301–8. http://dx.doi.org/10.15680/ijirset.2016.0508001.

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43

Patil, Akshay, Tirupati Pallewad, Bajrang Thakur, and Sayali N. Mane. "Wireless Self Control System for Domestic Appliances." INTERNATIONAL JOURNAL OF ADVANCED ENGINEERING AND MANAGEMENT 2, no. 6 (2017): 131. http://dx.doi.org/10.24999/ijoaem/02060032.

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44

QIN, Lei. "WIRELESS MINIATURE ROBOT AND ITS CONTROL SYSTEM." Chinese Journal of Mechanical Engineering 42, supp (2006): 106. http://dx.doi.org/10.3901/jme.2006.supp.106.

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45

Ali, Syed M. Usman, Sajid Hussain, Ali Akber Siddiqui, Jawad Ali Arshad, and Anjum Darakhshan. "FPGA based Smart Wireless MIMO Control System." IOP Conference Series: Materials Science and Engineering 51 (December 16, 2013): 012018. http://dx.doi.org/10.1088/1757-899x/51/1/012018.

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46

Nishi, K., S. Nagai, and K. Eguchi. "Lighting Control System with Infrared Wireless Network." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 87, Appendix (2003): 48. http://dx.doi.org/10.2150/jieij1980.87.appendix_48.

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47

Pal, Kunal, Biswajeet Champaty, Suraj K. Nayak, et al. "Wireless speech control system for robotic arm." International Journal of Biomedical Engineering and Technology 30, no. 4 (2019): 344. http://dx.doi.org/10.1504/ijbet.2019.10022443.

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48

Björkbom, Mikael, Shekar Nethi, Lasse M. Eriksson, and Riku Jäntti. "Wireless control system design and co-simulation." Control Engineering Practice 19, no. 9 (2011): 1075–86. http://dx.doi.org/10.1016/j.conengprac.2011.05.012.

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49

彭, 清. "A sEMG-Based Wireless Interaction Control System." Computer Science and Application 04, no. 12 (2014): 351–58. http://dx.doi.org/10.12677/csa.2014.412047.

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50

Sujana, Ahmad, Ninik Sri Lestari, Rosmalina, Hendi Suhendi, and Mohamad Abduh. "Android Remote Control System using wireless connection." Journal of Physics: Conference Series 2394, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1742-6596/2394/1/012027.

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Abstract Remote door lock control using an android based Arduino. where homeowners can lock and unlock by controlling the door lock via a cellphone that is often carried everywhere. So it is hoped that a remote door locking system can be via a smartphone (smartphone) to assist in locking without having to go to the door. In addition to that, the software created is expected to make it easier for homeowners to lock the door without having to go to the door by controlling the door lock using a cellphone to make it easier to open and lock the doors. The method used is the method of data collection and system development methods. The method of data collection is the method of observation and literature study. While the system development method used is the waterfall method. Application control door locks remotely using Arduino based on android were modeled using UML diagrams (Unified Modeling Language). The conclusion of the application made can be used to lock and unlock the door of the house using a cellphone. The creation of an Android-based home door lock application can make it easier for homeowners to open the lock and homeowners are not afraid to lose their house keys. It is expected that the addition of features in the door lock control applications remotely using Arduino based on android not only controls the door lock.
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