Relevant bibliographies by topics / SMART GARBAGE

Academic literature on the topic 'SMART GARBAGE'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "SMART GARBAGE"

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Murugadhas, Dr Jehan, Ms Atheer Ahmed Al-Jabri, and Ms Anwar Mohammed Al-Busaidi. "IoT based Smart Garbage Management System." International Journal of Advanced Networking and Applications 15, no. 01 (2023): 5791–95. http://dx.doi.org/10.35444/ijana.2023.15107.

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Garbage management is an important role in our day-by-day life. If the Garbage is not managed with a proper way, it will spread diseases and pollution. To manage and handle garbage’s we have developed a Smart Garbage Management System. This research work is about an Internet of Things (IoT) based, Smart Garbage Management System to solve the issue and to manage the garbage properly in a timely manner. We aim to create smart garbage management system to help the garbage collection team members as well as all uplift the people in their lifestyle. We have identified the components requirements, analyzing it and found the possible way to smart based solution to identify garbage levels in the bin and proper management to reduce air pollution using IoT.
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Jathar, Aishwarya, Dhananjay Gurav, and Prof L. J. Deokate. "Smart Garbage Collection." IJARCCE 8, no. 5 (May 30, 2019): 21–24. http://dx.doi.org/10.17148/ijarcce.2019.8505.

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Zariman, Asnazulfadhli. "Smart Garbage Monitoring." International Journal of Artificial Intelligence 6, no. 1 (September 20, 2019): 75–81. http://dx.doi.org/10.36079/lamintang.ijai-0601.33.

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This study develops a garbage monitoring based on Internet of Things (IoT) that can be used in the garbage management system in the city. Through this project, it can help to keep the city clean from the rubbish. By using Blynk as an application, this project will monitor the garbage bins and send the notification to the garbage collector about the level of garbage collected in the garbage bins. By receiving the information about the garbage level, the garbage collector will come on time in collecting the rubbish. The objective and purpose in developing smart garbage monitoring system is to save the time between users and the garbage collector. Abstrak: Studi ini mengembangkan pemantauan sampah berdasarkan Internet of Things (IoT) yang dapat digunakan dalam sistem pengelolaan sampah di kota. Melalui proyek ini, dapat membantu menjaga kebersihan kota dari sampah. Dengan menggunakan Blynk sebagai aplikasi, proyek ini akan memantau tempat sampah dan mengirimkan pemberitahuan kepada pemulung tentang tingkat sampah yang dikumpulkan di tempat sampah. Dengan menerima informasi tentang tingkat sampah, pengumpul sampah akan datang tepat waktu dalam mengumpulkan sampah. Tujuan dan tujuan dalam mengembangkan sistem pemantauan sampah pintar adalah untuk menghemat waktu antara pengguna dan pengumpul sampah.
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Patil, Prof Smital D. "Smart Garbage Van." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 3349–53. http://dx.doi.org/10.22214/ijraset.2018.4556.

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Rathi, Sumit. "Smart Garbage Collection System." International Journal for Research in Applied Science and Engineering Technology V, no. IV (April 26, 2017): 758–64. http://dx.doi.org/10.22214/ijraset.2017.4138.

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Diware, Anirudh, Prof Ketaki Katre, Aarti Kalegar, Rajendra Jogdand, and Hanumant Bamdale. "Survey on Smart Bin Using IoT." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 2173–76. http://dx.doi.org/10.22214/ijraset.2023.49899.

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Abstract: Through this project we are trying to prepare the model of a garbage bin in which according to the planning it should detect the garbage and slide the flip of the garbage bin. In this project we have planned to make use of sensors through which the garbage can be detected and accordingly the flip can be slide. Here through this project, we have planned to module the project on the basis of different kind of garbage being usually disposed. In this project the garbage bin is being divided into the basic two types of waste i.e., dry waste and wet waste. Here the sensors will detect not only the garbage but also which kind of garbage is being present there and accordingly open the flip and allow to through the garbage in the bin accordingly.
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Prabhakaran, S., Yugeshkrishnan M, Santhiya M, and Danush Kumar S M. "Smart Dustbin using IOT." Scientific Temper 14, no. 02 (June 6, 2023): 412–17. http://dx.doi.org/10.58414/scientifictemper.2023.14.2.27.

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Living in a technological world that is upgrading day by day, there is one major problem that should be dealt with. Garbage, which is the issue preventing us from developing into a sanitary, clean, and healthy society. In our daily lives, we frequently encounter trash cans that are overflowing with junk. Neither our environment nor our growth benefit from situations like this. Due to the abundance of flies and mosquitoes that breed on the garbage, this issue has a significant negative impact on health. As a result, this project is designed to prevent the trashcan from becoming overfilled by giving it the ability to alert itself when it needs to be cleaned. The smart trash bin system in this project is built on a microcontroller and has ultrasonic sensors on each of the two trash cans to display the garbage's current status on an LCD screen and a smartphone.
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Md Ilyas, Siti Sarah, Muhammad Amirul Rosyad Mohd Halim, Nadia Abdul Wahab, and Norfiza Ibrahim. "IoT-based Smart Garbage Monitoring." Journal of Computing Research and Innovation 6, no. 2 (September 1, 2021): 21–28. http://dx.doi.org/10.24191/jcrinn.v6i2.187.

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Smart Garbage Monitoring System using Arduino and Blynk is an IoT-based project that is integrated with cloud computing service. It was developed specifically to help janitors and residential college representative committee in a public university in Malaysia in monitoring the level of garbage in the dustbin through Blynk application, which makes it easy to empty the dustbin and optimize the garbage collection time. This project uses ultrasonic sensor to measure the level of garbage in the dustbin and the data can be viewed through mobile application, Blynk. It will also notify users through email once the garbage bin capacity is full. Other than notification function, Smart Garbage Monitoring System also consists of automatic open and close lid, track dustbin location and humidity level. The objectives of this project are to design the IoT system that detects the level of the garbage displayed in Blynk and an LCD attached to the dustbin and to validate the user acceptance test for the system. The development of Smart Garbage Monitoring System used the System Development Life Cycle (SDLC) by implementing the agile model as the methodology. A User Acceptance Testing was conducted with 20 respondents including students from the student representatives’ body and janitors. This testing aimed to determine the acceptance of the system by conducting an evaluation. The results of the User Acceptance Test shows that most of the participants agreed and verified that the system works for them and a suitable solution for their problems. Therefore, based on the features and functionalities offered by the Smart Garbage Monitoring System, it could be concluded that this system is beneficial to all the users, especially the janitors and students of the residential college.
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Masane, Mr Gopal V., Miss Roshani A. Naphade, and Mr Dnyaneshwar R. Raut Mr Nilesh M. Verulkar. "Smart Garbage Monitoring System : Present And Future." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 26–31. http://dx.doi.org/10.31142/ijtsrd2473.

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Cheng, Wanying. "Research on garbage sorting and smart bins." Journal of Innovation and Development 2, no. 2 (March 14, 2023): 61–63. http://dx.doi.org/10.54097/jid.v2i2.5914.

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With the continuous innovation of science and technology, the quality of life of Chinese residents has been continuously improved. But behind the growing economy, there is a serious problem of garbage disposal. Aiming at the problems of garbage disposal and recycling, a Raspberry Pi is proposed as the base platform to build an intelligent garbage classification model to realize the design of intelligent garbage classification and recycling. With the help of AI to obtain garbage image recognition, improve the efficiency of garbage sorting, break through the limitation of space, minimize the investment of labor costs, realize smart construction, and have high promotion and application value.
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Dissertations / Theses on the topic "SMART GARBAGE"

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Hoskins, Stephen. "A compiler-based approach to implementing smart pointers." Fairfax, VA : George Mason University, 2007. http://hdl.handle.net/1920/2925.

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Thesis (M.S.)--George Mason University, 2007.
Title from PDF t.p. (viewed Jan. 18, 2008). Thesis director: Elizabeth White. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. Vita: p. 152. Includes bibliographical references (p. 150-151). Also available in print.
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Nanto, Darack B. "The Eco-Smart Can." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/219.

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I noticed that the workers had the same itinerary when emptying trashcans, meanwhile trashcans needed urgently to be emptied. Traditionally, ETSU maintenance operate on daily routes to pick trash on designated time, regardless the level of the containers. This leads to overflown trashcan in busy areas or during rush hours in certain areas. This overflown trashcan result in an unclean environment for the community and an unpleasant look of our beautiful campus. The time, resources and labor invested in collecting the trash could be saved. Therefore, I decided to use the Internet of Things (IoT) to create a device that will optimize trash collection, to reduce costs and pollution. The Eco-Smart Can will contain a renewable source of energy such as the solar panel. Furthermore, it will have a compactor as well to decrease the trash volume. The system in the Eco-Smart can will give prior information of the trash level to maintenance facility so that they can empty the trash in a timely manner and preserve the environment.
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DOMINIC, ONGERI ABUGA. "REAL-TIME SMART GARBAGE BIN MECHANISM FOR SOLID WASTE MANAGEMENT IN SMART CITIES BASED ON IOT." Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18936.

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Unprecedented urbanization and rapid population growth have increased waste generated annually, posing significant challenges to cities globally. The annual World Health Organization reports indicate that we lose many people to preventable diseases because of improper waste disposal and management. The provision of garbage bins is not good enough to manage waste in our smart cities. The major problem is that garbage bins fill up so quickly, and it takes time for municipal workers to notice. This research project focuses on real-time smart garbage bin for solid waste management for smart cities based on IoT (internet of things). Conventional garbage collection and management systems have many shortcomings, such as inaccessibility to actual data required, lack of throughput, and late unloading. The smart garbage bin mechanism proposed accesses real-time information of any garbage bin across the city; this helps resolve the problem of waste overflow from garbage bins. The system ensures that cities are kept clean. Fuzzy logic is applied in the strategic deployment of smart garbage bins across the smart cities. This proposed system will be implemented on Net-logo, which has widely been used in multi-agent modelling environments.
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Books on the topic "SMART GARBAGE"

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Canada, Canada Natural Resources, ed. Burn it smart!: Don't burn household garbage : burning garbage hurts the environment, your health and your wood-burning system. [Ottawa]: Govt. of Canada, 2005.

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Smart consumer guide: Residential garbage & recycling. Olympia, Wash: Washington Utilitites and Transportation Commission, 2000.

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Game, Sudoku. You Are Smart Garbage Man: Medium Sudoku Puzzle Book 320 Puzzles. Independently Published, 2020.

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Spritzgießen 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783182443544.

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Inhalt Plenarvorträge Produktentwicklung einmal anders – effizient, flexibel, agil! Dr. rer. nat. S. Lambertz, Freudenberg Technology Innovation, Weinheim 1 Spreu und Weizen – Welche Automobilzulieferer schaffen den Strukturwandel, welche nicht? M.-R. Faerber, Managing Partner der Struktur Management Partner GmbH, Köln 7 Wenn Sinneswahrnehmungen digital werden und Technik fühlen lernt – Trends und Anwendungen des Affective Computing Dr.-Ing. J. Garbas, Fraunhofer IIS, Erlangen 9 Kurzberichte aus der Forschung Machine Learning zur Erkennung von Veränderungen beim Spritzgiessprozess Prof. Dr. F. Ehrig, Prof. Dr. G. Schuster, HSR Hochschule für Technik Rapperswil, Rapperswil, Schweiz 19 Steigerung von Produkt- und Prozessqualität beim Spritzgießen durch künstliche Intelligenz M.Sc. A. Schulze Struchtrup, M.Sc. M. Janßen, Prof. Dr.-Ing. R. Schiffers, Institut für Produkt Engineering, Universität Duisburg-Essen 27 I4.0 Pilotfabrik für die smarte Kunststoffverarbeitung Prof...
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Book chapters on the topic "SMART GARBAGE"

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Akshay, G., V. Shivakarthika, and M. Dakshayini. "Smart Garbage Bin." In Lecture Notes on Data Engineering and Communications Technologies, 546–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24643-3_65.

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Jain, Aviral, Vidipt Khetriwal, Hitesh Daga, and B. K. Tripathy. "Smart Garbage Classification." In Communications in Computer and Information Science, 113–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23233-6_8.

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Ratkal, Bhageshwari, and Y. Niharika. "Smart Garbage Collection Truck." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 352–60. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_39.

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Argulwar, Prajyot, Suvarna Borse, Kartik N. Argulwar, and Udge Sharnappa Gurunathappa. "IoT-Based Smart Garbage Management System." In Advances in Intelligent Systems and Computing, 237–45. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5520-1_23.

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Vijeya Kaveri, V., V. Meenakshi, B. Bharathi, and J. Albert Mayan. "Smart Garbage Monitoring System Using IoT." In Learning and Analytics in Intelligent Systems, 421–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46943-6_46.

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Soni, Gulshan, and Selvaradjou Kandasamy. "Smart Garbage Bin Systems – A Comprehensive Survey." In Communications in Computer and Information Science, 194–206. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7635-0_15.

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Noorain, Zofia, Mohd Javed Ansari, Mohd Shahnawaz Khan, Tauseef Ahmad, and Md Asraful Haque. "iGarbage: IoT-Based Smart Garbage Collection System." In Advances in Intelligent Systems and Computing, 403–15. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2008-9_39.

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Sivaranjani, P., P. Gowri, Bharathi Mani Rajah Murugan, Ezhilarasan Suresh, and Arun Janarthanan. "A Smart Garbage System for Smart Cities Using Digital Image Processing." In Third International Conference on Image Processing and Capsule Networks, 761–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12413-6_60.

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Das, Jayeeta, Ankita Pramanik, and Susanta Kumar Parui. "Smart Garbage Monitoring and Alert System Using IoT." In Lecture Notes in Electrical Engineering, 641–54. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0829-5_60.

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Shekhawat, Raghavendra S., and Deepak Uniyal. "Smart-Bin: IoT-Based Real-Time Garbage Monitoring System for Smart Cities." In Information and Communication Technology for Competitive Strategies (ICTCS 2020), 871–79. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0882-7_78.

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Conference papers on the topic "SMART GARBAGE"

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Jajoo, Parth, Akshata Mishra, Sushmit Mehta, and Vivek Solvande. "Smart Garbage Management System." In 2018 International Conference on Smart City and Emerging Technology (ICSCET). IEEE, 2018. http://dx.doi.org/10.1109/icscet.2018.8537390.

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Pooja, G., Deepika R, Shervena B, and Sumathi S. "Despercredito - Smart Garbage System." In 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). IEEE, 2022. http://dx.doi.org/10.1109/ic3iot53935.2022.9767895.

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Karakaya, Mert, and Enes Furkan Cali. "Smart Garbage Collection System for Smart Cities." In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2022. http://dx.doi.org/10.1109/asyu56188.2022.9925299.

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Sivasangari, A., Upendher Rao Polishetty, Ajitha, Anandhi, and R. M. Gomathi. "IoT based Smart Garbage System." In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2021. http://dx.doi.org/10.1109/iccmc51019.2021.9418455.

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Paul, Souptik, Sayan Banerjee, and Srutayu Biswas. "Smart Garbage Monitoring Using IoT." In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2018. http://dx.doi.org/10.1109/iemcon.2018.8614896.

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B V, Divya, and Latha N. "Smart Garbage Collection Autonomous Vehicle." In 2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE). IEEE, 2021. http://dx.doi.org/10.1109/rdcape52977.2021.9633553.

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Pisal, Purnima S., and B. D. Jadhav. "Smart System for Garbage Management." In 2021 International Conference on Computing, Communication and Green Engineering (CCGE). IEEE, 2021. http://dx.doi.org/10.1109/ccge50943.2021.9776408.

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Rifat, Rifatul Islam, Farah Binte Haque, Tashreef Jahan, Zunayeed Bin Zahir, and Riasat Khan. "IoT Based Smart Garbage Management System." In 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). IEEE, 2022. http://dx.doi.org/10.1109/ic3iot53935.2022.9767993.

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V, Vijayaganth, Sanjaykumar D, Ravi Varma K, and Yukisedhu R. "Smart Garbage Monitoring Application Using IoT." In 2022 8th International Conference on Smart Structures and Systems (ICSSS). IEEE, 2022. http://dx.doi.org/10.1109/icsss54381.2022.9782262.

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Thilagaraj, M., M. Sivaramkrishnan, G. Venkatesan, A. Mohanraj, M. Siva Ramkumar, and Kottaimalai Ramaraj. "Smart Garbage Monitorıng and Vigilant System." In 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2023. http://dx.doi.org/10.1109/icesc57686.2023.10193043.

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Reports on the topic "SMART GARBAGE"

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Balyk, Nadiia, Svitlana Leshchuk, and Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3741.

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The work is devoted to designing a smart home educational model. The authors analyzed the literature in the field of the Internet of Things and identified the basic requirements for the training model. It contains the following levels: command, communication, management. The authors identify the main subsystems of the training model: communication, signaling, control of lighting, temperature, filling of the garbage container, monitoring of sensor data. The proposed smart home educational model takes into account the economic indicators of resource utilization, which gives the opportunity to save on payment for their consumption. The hardware components for the implementation of the Mini Smart House were selected in the article. It uses a variety of technologies to conveniently manage it and use renewable energy to power it. The model was produced independently by students involved in the STEM project. Research includes sketching, making construction parts, sensor assembly and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Research includes sketching, making some parts, assembly sensor and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Approbation Mini Smart House researches were conducted within activity the STEM-center of Physics and Mathematics Faculty of Ternopil Volodymyr Hnatiuk National Pedagogical University, in particular during the educational process and during numerous trainings and seminars for pupils and teachers of computer science.
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