Academic literature on the topic 'IoT-based system'

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Journal articles on the topic "IoT-based system"

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S, Deepa, Pradeepkumar V, Saranraj R, Sivaperumal M, and Nanthakumar S. "IOT Based Garbage Monitoring System." International Journal of Psychosocial Rehabilitation 24, no. 04 (February 28, 2020): 1682–89. http://dx.doi.org/10.37200/ijpr/v24i4/pr201277.

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Ghone, Nitesh, Sanjay Chilwarkar, and Rahul Padwal Prof Vinita Bhandiwad. "IoT based Automated petrol system." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1974–76. http://dx.doi.org/10.31142/ijtsrd11560.

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Lahande, Priyanka, and Dr Basavaraj Mathpathi. "IoT Based Smart Irrigation System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 359–62. http://dx.doi.org/10.31142/ijtsrd15827.

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Hande, Priya Ajay, and Dr D. V. Rojatkar. "IOT based Garbage Management System." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 865–67. http://dx.doi.org/10.31142/ijtsrd4626.

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Chavhan, Roshni V., and Dinesh V. Rojatkar. "IoT Based Garbage Management System." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 815–17. http://dx.doi.org/10.31142/ijtsrd4677.

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Kaushal, Rajesh Kumar, Harini T, Pavithra Lency D, Sandhya T, and Soniya P. "IOT BASED SMART FOOD MONITORING SYSTEM." International Journal of Current Engineering and Scientific Research 6, no. 6 (June 2019): 73–76. http://dx.doi.org/10.21276/ijcesr.2019.6.6.14.

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K, Shahin, Kanimozhi R, and Balachandar A. "IoT Based Smart Horticulture Monitoring System." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1668–70. http://dx.doi.org/10.31142/ijtsrd23466.

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Mohammed, Mohd Fayzul, Azralmuknin Azmi, Muhammad Faridun Naim Tajuddin, Noor Hasnizam Hanafi, Mohd Rafi Adzman, and Zainuddin Mat Isa. "Implementation of IoT based Electrical Metering System." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 894–99. http://dx.doi.org/10.5373/jardcs/v11sp12/20193290.

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R, Prof Madhu B., Vaishnavi K. R, and Dushyanth N. Gowda. "IoT Based Home Automation System over Cloud." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 966–68. http://dx.doi.org/10.31142/ijtsrd24005.

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M, Magesh Babu, Revathy S, Revathy S, Sathya P, and Subbulakshmi R. "Evergreen based Agriculture Irrigation System using IoT." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 05, no. 02 (April 14, 2017): 11–14. http://dx.doi.org/10.9756/sijcsea/v5i2/05010150101.

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Dissertations / Theses on the topic "IoT-based system"

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GUDURU, TABU SRAVANI, and SURYA NARAYANA MURTHY THATAVARTHY. "IoT Based Home Monitoring System." Thesis, Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20900.

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Home surveillance is a major concern in this day and age as with the rapid increase in the technology around us. There is a need to get updated with new possibilities to make our lives better and easy. Some cases and situations exhibit the need for home monitoring. So, we set out to discover a solution to this problem of home monitoring. Generally, we have issues with pets and kids alike such as approaching dangerous places like electric switches, stairs, and hot things. Not only a problem with kids and pets but also a chance of burglary and stranger's unusual activities. To overcome this problem we are designing and prototyping a system to keep an eye on kids, pets, and older people. This system is used in other applications like theft monitoring. The device can monitor the field all the time. In this way, this system helps in-home monitoring. The system consists of Arduino, which is the brain of the system, the PIR sensor, ESP32-CAM, and buzzer. The PIR sensor detects motion then gives input to the Arduino. Arduino gives output to the ESP32-CAM and buzzer. The ESP32-CAM can be activated and sends information to the user through the web Interface and the application. The user can see the video streaming on the PC screen or any other display. The buzzer can emit a high volume signal indicating that "there is an alert at the home".
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Coutinho, Daniel Filipe Raimundo. "Cloud-based system for IoT data acquisition." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/28975.

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IoT permite-nos trazer o mundo físico para o mundo virtual, dando o poder de o controlar e monitorizar. Isto tem encorajado um aumento no interesse em IoT, devido às múltiplas aplicações nos mais variados contextos. Ainda assim sistemas de IoT enfrentam desafios tais como o suporte de altos volume de conexões ou a baixa capacidade de computação face a algoritmos para segurança dos dados. O objectivo desta dissertação é criar um sistema de recolha de dados de sensor de qualidade do ar que resolva esses desafios usando tecnologias de estado de arte, dando preferência a ferramentas de código aberto. O sistema foi implementado em volta Apache Kafka, com Spring Boot e VerneMQ responsáveis por receber dados e PostgreSQL, com plugin Timescale, encarregue de os guardar. Um protótipo do sistema foi implementado usando contentores Docker, mas não foi possível organiza-los com Kubernetes; Abstract: Cloud-based system for IoT data acquisition The purpose of IoT is to bring the physical world into a digital one and allowing it to be controlled and monitored from a virtual standpoint. The interest in IoT has increased due to its many applications in various fields, but IoT systems still deal with challenges such as the support of a high volume of connections or the low processing capacity of devices faced with data security algorithms. The objective of this dissertation is to create a data collection for air quality sensors system, that solves those challenges based on state of the art technologies, giving preference to open-source tools. Implementation was done around Apache Kafka, with Spring Boot and VerneMQ receiving data, HMAC granting a level security on data transport and PostgreSQL with the plugin Timescale storing the data. A prototype of the system was implemented in Docker containers, but we were unable to orchestrate them through Kubernetes.
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Jasti, Madhu Narasimha Rao. "IoT based remote patient health monitoring system." Kansas State University, 2017. http://hdl.handle.net/2097/38268.

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Master of Science
Department of Computer Science
Daniel A. Andresen
With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies.
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Jazavac, Nedim, and Hikmat Tatari. "IoT-based air pollution monitoring system for smart villages." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21952.

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Air pollution is a global issue which has negative impacts not only on the environment but also on human health. Therefore, it is important to design and implement systems to allow cities and villages to monitor air quality so that they take the required actions to maintain a good air quality in the city/village. Since IoT facilitates implementing efficient monitoring systems, many IoT systems have been proposed to monitor air pollution. In this paper, we review different IoT-based systems to monitor air quality. In addition, we do an experiment where we propose and evaluate our system to monitor air pollution in a smart village, Veberöd, utilizing the LoRaWAN and the IoT platform, Yggio, which is already used in the village. Our proposed system is used to monitor temperature, humidity, pressure, PM1, PM2.5, PM10, CO2, and CO. As a result of our experiment, we found that the data received by Yggio was encoded, and Yggio did not provide the decoding functionality to decode the data sent from our devices. Therefore, another IoT platforms were used to decode, visualize, and analyse the data. The results of the experiments shows that as far as PM1, PM2.5, PM10, and CO are concerned, the air quality in the village is good. The results also showed that some LoRaWAN messages were lost and never received on Yggio.
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ElSaadany, Mohamed. "A NOVEL IoT-BASED WIRELESS SYSTEM TO MONITOR HEART RATE." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1501023035755156.

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Siraj, Shabna. "ARCTIC: An IoT-based System for Child Tracking in Day Care." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-73315.

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Karuturi, Hemanth Surya, and Megha Sanjeev Reddy Karri. "Raspberry Pi Based IoT System for Bats Detection at Wind Farms." Thesis, Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20899.

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Context: Large numbers of bats are killed by collisions with wind turbines and there is at present no accepted method of reducing or preventing this mortality. We designed a system, which detects and records any bats’ activity in and around the surroundings of wind turbines. The system can help to study bats by identifying the species that are present in that particular locality. Objectives: The main objective of this thesis is to design an ultrasound-based IoT system, which detects the bats to prevent them from clashing with wind turbines. The design is based on a study of bats’ behaviors. Methods: The system has been developed using User-Driven Design, UDD, approach. The required functionalities have been embedded into IoT based system. An ultrasonic technology along with other sensors are used. The sensors are intended to activate monitoring during favorable conditions for bat activity. Results: A model of a system has been developed. The model was implemented into a prototype. Recorded bats’ activities are uploaded to a server by employing a suitable app, which informs the user about the activities of bats' various sub-species. Conclusions: A surveillance for bats approaching the wind farms within 80 m has been developed. The monitoring system is activated when the weather conditions are favorable for bat activities.
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Aïssaoui, François. "Autonomic Approach based on Semantics and Checkpointing for IoT System Management." Thesis, Toulouse 1, 2018. http://www.theses.fr/2018TOU10061/document.

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Zhalgasbekova, Aigerim. "CollMule: An Opportunistic Data Collection System for IoT-based Indoor Air Quality Monitoring." Thesis, Luleå tekniska universitet, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65346.

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Vupparige, Vijaykumar Sanjana. "A Cost-Efficient Bluetooth Low Energy Based Indoor Positioning System for IoT Applications." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162208.

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The indoor positioning system is a series of networking systems used to monitor/locate objects at indoor area as opposed that of GPS which does the same at outdoor. The increase in the popularity of the Internet of Things made the demand for Bluetooth Low Energy technology more and more essential due to their compatibility in the smartphones which makes it to access easier. The BLE’s reliable signal and accuracy in calculating the distance has a cutting edge on others in IPS. In this thesis, the Bluetooth Low Energy indoor positioning system was designed and implemented in the office area, and the positionofIoTdevicesweremonitored. OntheIoTdevices,thebeaconswereplaced. And thesebeaconswerecoveringtheofficearea. Thereceiver,smartphoneinourcase,recorded theReceivedSignalStrengthIndicationofthetransmittedsignalsfromthebeaconswithin the range of the signal and stored the collected data in a database. Two experiments have beenconducted. Oneisforbeaconsthatarestationaryandonethatismoving. Toevaluate these experiments, a few tests were performed to predict the position of beacons based on therecordedreceivedsignalstrength’s. Inthecaseofstationarybeacons, itoffersaccuracy range from 1 m to 5 m, and 3 m to 9.5 m in anticipating the position of each beacon in the case of moving beacon. This methodology was a mixture of fingerprinting and an algorithm of multilateration. Finally, the experiments show that the algorithm used provides the most accurate indoor position using BLE beacons that can be monitored through an Android-based application in real-time.
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Books on the topic "IoT-based system"

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Joby, P. P., Valentina E. Balas, and Ram Palanisamy, eds. IoT Based Control Networks and Intelligent Systems. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5845-8.

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Alice, James, Subhas Chandra Mukhopadhyay, and Avishkar Seth. IoT System Design: Project Based Approach. Springer International Publishing AG, 2021.

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Alice, James, Subhas Chandra Mukhopadhyay, and Avishkar Seth. IoT System Design: Project Based Approach. Springer International Publishing AG, 2022.

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Development of IOT Based Smart Security and Ubiquitous Controlled Agriculture System. Tiruchengode, India: ASDF International, 2017.

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T, Veeramanikandasamy, and Deepa R. Detection of Trapped Victims in Disaster Scenarios Using IoT: An IoT Based System to Detect the Trapped Victims in Disaster Scenarios Using Doppler Microwave and Passive Infrared Technology. Independently Published, 2019.

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Chatterjee, Indranath, and Partha Pratim Deb, eds. Abstracts of 1st International Conference on Machine Intelligence and System Sciences. AIJR Publisher, 2022. http://dx.doi.org/10.21467/abstracts.120.

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This book contains the abstracts of the papers presented at the International Conference on Machine Intelligence and System Sciences (MISS-2021) Organized by the Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea, held on 1–2 November 2021. This conference was intended to enable researchers to build connections between different digital technologies based on Machine Intelligence, Image Processing, and the Internet of Things (IoT).
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Agrawal, Akshat, Anand Sharma, Dilip Kumar Sharma, Prateek Agrawal, and Vishu Madaan. Trust-Based Communication Systems for IoT Applications. Wiley & Sons, Limited, John, 2022.

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Agrawal, Akshat, Anand Sharma, Dilip Kumar Sharma, Prateek Agrawal, and Vishu Madaan. Trust-Based Communication Systems for IoT Applications. Wiley & Sons, Incorporated, John, 2022.

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Agrawal, Akshat, Anand Sharma, Dilip Kumar Sharma, Prateek Agrawal, and Vishu Madaan. Trust-Based Communication Systems for IoT Applications. Wiley & Sons, Limited, John, 2022.

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Agrawal, Akshat, Anand Sharma, Dilip Kumar Sharma, Prateek Agrawal, and Vishu Madaan. Trust-Based Communication Systems for IoT Applications. Wiley & Sons, Incorporated, John, 2022.

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Book chapters on the topic "IoT-based system"

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James, Alice, Avishkar Seth, and Subhas Chandra Mukhopadhyay. "Bluetooth Based IoT System." In Smart Sensors, Measurement and Instrumentation, 137–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85863-6_7.

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James, Alice, Avishkar Seth, and Subhas Chandra Mukhopadhyay. "WiFi Based IoT System." In Smart Sensors, Measurement and Instrumentation, 105–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85863-6_6.

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Hema, L. K., Rajat Kumar Dwibedi, R. Karthikeyan, and V. Vanitha. "IoT Based Telemedicine System." In Intelligent Systems Reference Library, 219–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57835-0_17.

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Upendran, Shantha Visalakshi. "IoT-Based Healthcare System." In Intelligent Internet of Things for Smart Healthcare Systems, 49–68. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003326182-4.

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Bansal, Subodh, and Amit Gupta. "IoT-Enabled Intelligent Traffic Management System." In IoT Based Smart Applications, 89–111. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04524-0_6.

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Sathiyaraj, R., A. Bharathi, and B. Balamurugan. "IoT-Based Intelligent Transportation System (IoT-ITS)." In Advanced Intelligent Predictive Models for Urban Transportation, 81–98. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003217367-6.

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Venkateshwari, P., and Suresh Subramaniam. "A Survey and Challenges: Embedded System on IoT." In IoT Based Smart Applications, 113–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04524-0_7.

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Desai, Mittal N., Raj Davande, and K. R. Mahaadevan. "IoT-Based Saline Controlling System." In IOT with Smart Systems, 677–87. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3575-6_65.

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Borole, Yogini Dilip, Anurag Shrivastava, and M. Niranjanamurthy. "Diagnosis of COVID-19 Using Low-Energy IoT-Enabled System." In IoT Based Smart Applications, 375–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04524-0_22.

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Afsarimanesh, Nasrin, Subhas Chandra Mukhopadhyay, and Marlena Kruger. "IoT-Enabled Microcontroller-Based System." In Electrochemical Biosensor: Point-of-Care for Early Detection of Bone Loss, 93–103. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03706-2_6.

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Conference papers on the topic "IoT-based system"

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Kodali, Ravi Kishore, Sasweth C. Rajanarayanan, Anvesh Koganti, and Lakshmi Boppana. "IoT based security system." In TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON). IEEE, 2019. http://dx.doi.org/10.1109/tencon.2019.8929420.

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Al-Gharibi, Ruaa Suliman. "IoT-Based Hydroponic System." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2021. http://dx.doi.org/10.1109/icscan53069.2021.9526391.

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Sonnis, Ojas, Akshay Sunka, Rohitkumar Singh, and Trupti Agarkar. "IoT based telemedicine system." In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8392239.

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Desai, Hardi, Divya Guruvayurappan, Mustafa Merchant, Smeet Somaiya, and Hetal Mundra. "IoT based grocery monitoring system." In 2017 Fourteenth International Conference on Wireless and Optical Communications Networks (WOCN). IEEE, 2017. http://dx.doi.org/10.1109/wocn.2017.8065839.

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Mahgoub, Asma, Nourhan Tarrad, Rana Elsherif, Abdulla Al-Ali, and Loay Ismail. "IoT-Based Fire Alarm System." In 2019 Third World Conference on Smart Trends in Systems Security and Sustainablity (WorldS4). IEEE, 2019. http://dx.doi.org/10.1109/worlds4.2019.8904001.

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Devi, Dharani, A. Devi, and V. Piriyyadarisani. "IoT Based Automatic Attendance System." In 2019 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces45898.2019.9002030.

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CHANDRA, S. SARATH, G. SAI SRAVANTHI, BANDLA PRASANTHI, and VIJAYA RANGAN R. "IoT Based Garbage Monitoring System." In 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT). IEEE, 2019. http://dx.doi.org/10.1109/iciict1.2019.8741414.

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Suresh, M., P. Saravana Kumar, and T. V. P. Sundararajan. "IoT Based Airport Parking System." In 2015 International Conference on Innovations in Information,Embedded and Communication Systems (ICIIECS). IEEE, 2015. http://dx.doi.org/10.1109/iciiecs.2015.7193216.

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Jeurkar, Vaishnavi, Mayuresh Inamdar, Pratik Kale, Aniket Khandelwal, Sharwari Daware, and Rajendra Patel. "IOT Based Water Management System." In 2020 International Conference on Industry 4.0 Technology (I4Tech). IEEE, 2020. http://dx.doi.org/10.1109/i4tech48345.2020.9102686.

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Saglani, Vatsal J., Aayush V. Gupta, Rupam Sarma, Shashank Pathak, and D. Rekha. "IoT based Smart Safe System." In 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS). IEEE, 2018. http://dx.doi.org/10.1109/ctems.2018.8769205.

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