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1
Waworundeng, Jacquline M. S., and Oktoverano Lengkong. "Sistem Monitoring dan Notifikasi Kualitas Udara dalam Ruangan dengan Platform IoT." CogITo Smart Journal 4, no. 1 (2018): 94. http://dx.doi.org/10.31154/cogito.v4i1.105.94-103.
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Penelitian ini membahas tentang prototipe alat pendeteksi kualitas udara di dalam ruangan dengan menggunakan mikrokontoler Wemos dan sensor MQ135 yang terhubung dengan platform IoT sebagai sistem monitoring dan notifikasi. Modul sensor MQ135 sebagai detektor kualitas udara, mengirimkan sinyal input untuk diproses oleh mikrokontroler Wemos board. Modul wifi yang terdapat pada Wemos board mengirimkan nilai yang terbaca oleh sensor ke platform IoT Thingspeak yang merekam data logging dalam bentuk grafik. Dalam hal ini, Thingspeak berfungsi sebagai bagian dari sistem monitoring. Sedangkan sebagai sistem notifikasi digunakan platform IoT Blynk apps. Blynk apps terhubung secara tidak langsung ke prototipe alat pendeteksi kualitas udara melalui internet. Nilai yang terbaca dari sensor diproses sesuai program dan jika memenuhi level sensor yang ditentukan maka sistem memberikan notifikasi kepada user melalui Blynk apps. Sistem ini berpotensi untuk digunakan sebagai sistem pemantauan kualitas udara di dalam ruangan untuk meningkatkan kesadaran tentang pentingnya kualitas udara yang sehat.Keywords : Sistem Monitoring, Notifikasi, Kualitas Udara, Sensor, Iot
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Mahanijah, Md Kamal, Anum Zuraimi Md Noar Nur, and Muhammad Sabri Aqil. "Development of Detection and Flood Monitoring Via Blynk Apps." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 361–70. https://doi.org/10.11591/ijeecs.v10.i1.pp361-370.
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Flash flood is a common disaster event occured at Jalan Ilmu 1/1, Universiti Teknologi MARA Shah Alam Campus when there is a heavily raindrops. This paper describes the development of prototype used for detection and monitoring purposes. Flash floods can lead to destruction of properties and infrastructures.This system is based on two NodeMCU based technology integrated using Blynk application (IOS or android). The wireless sensor network systems can help the citizens by detecting the water levels and give an early warning when a flood occurs faster and easy. Basically, there are two part of the system which are the sensor node and the base station. The sensor node detects the water level using an ultrasonic sensor and displays the current water level.The first NodeMCU is placed at the identified flood area, whilst the second NodeMCU acts as the control unit. Data detected from the ultrasonic sensors are sent to the Blynk application via wireless connection.Two test have been conducted to test the effectiveness of the propose system. It can be found that this prototype able to detect, monitor and give alarm to the affected area if the flash flood happens in the future.
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Md Kamal, Mahanijah, Nur Anum Zuraimi Md Noar, and Aqil Muhammad Sabri. "Development of Detection and Flood Monitoring via Blynk Apps." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 361. http://dx.doi.org/10.11591/ijeecs.v10.i1.pp361-370.
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<p class="Abstract">Flash flood is a common disaster event occured at Jalan Ilmu 1/1, Universiti Teknologi MARA Shah Alam Campus when there is a heavily raindrops. This paper describes the development of prototype used for detection and monitoring purposes. Flash floods can lead to destruction of properties and infrastructures.This system is based on two NodeMCU based technology integrated using Blynk application (IOS or android). The wireless sensor network systems can help the citizens by detecting the water levels and give an early warning when a flood occurs faster and easy. Basically, there are two part of the system which are the sensor node and the base station. The sensor node detects the water level using an ultrasonic sensor and display the current water level.The first NodeMCU is placed at the identified flood area, whilst the second NodeMCU acts as the control unit. Data detect<span lang="EN-MY">ed</span> from the <span lang="EN-MY">ultrasonic </span>sensor<span lang="EN-MY">s</span>are sent to the Blynk application via wireless connection.Two test have been conducted to test the effectiveness of the propose system. It can be found that this prototype able to detect, monitor and give alarm to the affected area if the flash flood happen<span lang="EN-MY">s in the future.</span></p>
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Prabowo, Muhamad Cahyo Ardi, Sri Kusumastuti, Fawzi Ario Busono, and Elva Puspita Wardani. "RANCANG BANGUN SISTEM KONTROL DAN MONITORING BUDIDAYA JANGKRIK MENGGUNAKAN PROTOKOL ESP-NOW BERBASIS INTERNET OF THINGS." Orbith: Majalah Ilmiah Pengembangan Rekayasa dan Sosial 20, no. 1 (2024): 52–59. https://doi.org/10.32497/orbith.v20i1.5433.
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AbstrakPemantauan jarak jauh telah menjadi model pertanian saat ini, tak terkecuali di industri budidaya jangkrik. Internet of Things menjadi salah satu alternatif dalam pengembangan model pertanian cerdas. Suhu dan kelembaban merupakan parameter utama dalam persentase keberhasilan budidaya jangkrik. Teknologi nirkabel protokol EspNow dengan aplikasi Blink menjadi salah satu solusi. Protokol EspNow digunakan sebagai pengiriman data antar mikrokontroler, tersusun dari 3 bagian yaitu Node Sensor, Gateway, dan User Apps. Node sensor ESP8266-12F sebagai slave terintegrasi dengan sensor DHT21 untuk akusisi data suhu dan kelembaban. Node sensor mengirimkan data menuju ESP32 sebagai master dan Gateway. Gateway meneruskan data menuju server dan aplikasi Blynk sebagai sarana antarmuka. Node sensor juga dirancang melakukan kendali kipas DC dan pompa DC dengan konsep misting. Hasil pengujian persentase keberhasilan pengiriman data dari 4 node sensor yaitu 100%, persentase waktu pengiriman data yaitu 30ms, persentase ketepatan sensor suhu yaitu 95%, dan persentase ketepatan sensor kelembaban yaitu 78%.Kata kunci : Internet of Things, Esp-Now, Slave, Master, Blynk.AbstractRemote monitoring has become the current agricultural model, including in the cricket farming industry. The Internet of Things has emerged as one alternative in developing smart farming models. Temperature and humidity are key parameters in the success rate of cricket farming. Wireless technology using the Esp-Now protocol with the Blink application serves as one solution. The Esp-Now protocol is utilized for data transmission between microcontrollers, consisting of three parts: Node Sensor, Gateway, and User Apps. The ESP8266-12F sensor node acts as a slave integrated with the DHT21 sensor for temperature and humidity data acquisition. The sensor node sends data to the ESP32 master and Gateway. The Gateway forwards data to the server and Blynk application as the interface. The sensor node is also designed to control DC fans and DC pumps with a misting concept. Testing results show a 100% success rate in data transmission from the four sensor nodes, a data transmission time percentage of 30ms, a temperature sensor accuracy percentage of 95%, and a humidity sensor accuracy percentage of 78%. Keywords : Internet of Things, Esp-Now, Slave, Master, Blynk.
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Asro Laili, Mohamad, Sumiati, and Agung Triayudi. "PENDEKATAN NODEMCU DAN APPS BLYNK BERBASIS ANDROID UNTUK SISTEM MONITORING KEAMANAN KENDARAAN MOTOR." JSiI (Jurnal Sistem Informasi) 9, no. 2 (2022): 119–25. http://dx.doi.org/10.30656/jsii.v9i2.5161.
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Kasus pencurian sepeda motor masih menduduki tingkat tertinggi dari kasus pencurian kendaraan lainnya, pada masa pandemic covid 19 selama kurun waktu 2 tahun terakhir di kabupaten Serang terdapat sekitar 30 ribu kasus pencurian sepeda motor. Hasil penelitian ini merupakan pengembangan sistem monitoring keamanan kendaraan yang dapat digunakan pada semua jenis kendaraan, dimana sistem dapat mengirimkan notifikasi posisi kendaraan secara realtime ke sistem android pengguna, sehingga kendaraan dapat dikontrol melalui sistem android pengguna dan sistem ini dapat memebrikan pengamanan ganda dengan perangkat sensor vibration. Sistem ini dibangun menggunakan NodeMCU sebagai media pemrosesan atau otak dari sistem, sensor vibration getaran memiliki kelebihan sebagai activator dan sistem dapat bekerja pada semua jenis android, selain itu teknologi apps Blynk sebagai remote monitoring keamanan, selain itu modul kamera sebagai pemantauan kendaraan pengguna yang terhubung dengan sistem android, modul GPS digunakan sebagai titik akurasi keberadaan posisi kendaraan. Hasil pengujian system monitoring dan keamanan kendaraan motor ini dapat menentukan titik koordinat atau posisi kendaraan secara realtime dengan menggunakan modul GPS Ublox 6M dengan bantuan maps widget blynk yang dikirim NodeMCU untuk jarak antara 6 meter sampai dengan 10 meter dari titik koordinat.
 Kata kunci: Pandemic covid 19, android, sensor vibration, Node MCU, apps Blynk, modul GPS Neo Blok 6 M.
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Sanjusha, V., T. Vinay Reddy, S. Manasa, and G. Sravan kumar. "Automatic Home with The Nodemcu Esp8266 and The Blynk Apps." Journal on Electronic and Automation Engineering 2, no. 2 (2023): 04–07. http://dx.doi.org/10.46632/jeae/2/2/2.
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With advancement of Automation technology, life is getting simpler and easier in all aspects. In today’s world Automatic systems are being preferred over manual system. With the rapid increase in the number of users of internet over the past decade has made Internet a part and parcel of life, and IoT is the latest and emerging internet technology. Internet of things is a growing network of everyday object-from industrial machine to consumer goods that can share information and complete tasks while you are busy with other activities. Wireless Home Automation system (HAS) using IoT is a system that uses computers or mobile devices to control basic home functions and features automatically through internet from anywhere around the world, an automated home is sometimes called a smart home. It is meant to save the electric power and human energy. The home automation system differs from other system by allowing the user to operate the system from anywhere around the world through internet connection. In this paper we present a Home Automation system (HAS) using Blynk Community that employs the integration of cloud networking, wireless communication, to provide the user with remote control of various lights, fans, and appliances within their home and storing the data in the cloud. The system will automatically change on the basis of sensors data. This system is designed to be low cost and expandable allowing a variety of devices to be controlled.
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Hafizh, Abdul, Nur Kholis, M. Syariffuddien Zuhrie, and Arif Widodo. "PROTOTYPE OF EARLY WARNING SYSTEM FOR HOME DOOR SECURITY BASED ON IOT USING PIEZOELECTRIC SENSOR." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 3, no. 2 (2020): 56. http://dx.doi.org/10.26740/inajeee.v3n2.p56-62.
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Early warning system of door security based on IoT with piezoelectric sensor, this was an early warning system wich could detect a threat on the door and send a notification to the owner smart phone to do preverentive action. This system was made with affordable cost, wich anyone can own this not only the rich one. This system will classified wich a safe knkck and a threat. This system used piezoelectric sensor to monitor a threat and buzzer to make some noise around. This system was equiped a relay to control the solenoid lock as your primary lock. This system used blynk cloud as the based wich could be operated on smart phone. The test used one room and one door. Take a survey to decide wich a normal knock and a stroke. And as got the result, then set the set point based on the output voltage of the sensor, as a threat to the door. Wich that the microcontroller could send a notification to the blynk apps on smart phone. After tahat we did some test to the respond time of, notification, buzzer, and the relay. Wich the respond time of notification was 2,15 second, the buzzer was 1,1 second, and the relay was 1,15 second. This system has 80% accuracy. This system might be well monitored the door with blynk apps.
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Rosli, Ahmad Asyraf, Muhammad Rusydi Muhammad Razif, Omar Abu Hassan, Nor Shahida Mohd Shah, Ili Najaa Aimi Mohd Nordin, and Khairul Nizam Mustafa. "Development of Smart Home System based on Mobile Apps Control Using IoT for Educational Purposes." Alinteri Journal of Agriculture Sciences 36, no. 1 (2021): 525–33. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21075.
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The Internet of Things (IoT) with its enormous growth widens its applications to the living environment of the people by changing a home to a smart home. The smart home is a system, which connect homes with various types of digital devices to communicate with each other through the internet. Based on our prior study, 59% of the respondent among Malaysians are unaware about the IoT or just heard about it without knowing its concept. Thus, this project will present a development of a smart home system based on mobile apps control using IoT to educate Malaysian. This project uses a combination of wireless technology and infrared sensor to detect the motion and a microcontroller to control the usage of appliances in the home. Blynk as a mobile app has been programmed and used to control and display the usage of LED, fan and camera. The output of the appliances will be displayed on the Blynk in kind of LED icon and stream video. The IoT system has been successfully developed and able to follow the instruction given. The LED, fan and camera will turn ON when the switch button in Blynk is pressed. The system has a limited range of operation because it depends on the Wi-Fi signal range, which is about 50 meters of the developed smart home using IoT control. The proposed smart home prototype is useful in the education sector to expose all Malaysian to the current technology especially students and staffs in the university.
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Permana, Rafli, Andrie Yuswanto, and Budi Wibowo. "NODEMCU INTERNET OF THINGS-BASED FIRE AUTOMATION DESIGN WITH BLYNK APPS NOTIFICATIONS." TEKNOKOM 6, no. 1 (2023): 14–19. http://dx.doi.org/10.31943/teknokom.v6i1.94.
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The impact of fires causes quite large losses, often even causing fatalities. The method used in the system is monitoring the fire sensor which is used to detect a fire, the buzzer as a notification output in the form of sound, and the water pump as a fire extinguisher which will function after the fire sensor is on. detecting the presence of fire. to detect fire in realtime and 9 in the event of a fire with a research and development. Monitoring approach on fire sensors used to detect the presence of fire, buzzers as output notifications in the form of sound, and water pumps as a tool to extinguish fires which will function after the fire sensor detect the presence of fire.
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Mat Hussain, Nur Shaebah, Mohd Khairol Anuar Mohd Ariffin, Siti Azfanizam Ahmad, and Zulkifli Mohamed. "Development of an Internet of Things System for Lubrication Oil Level Monitoring." Journal of Applied Engineering Design and Simulation 5, no. 1 (2025): 24–36. https://doi.org/10.24191/jaeds.v5i1.91.
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Lubricant demand is predicted to keep growing in global markets. As a result, the lubrication industry should periodically measure the quantity of lubricant stock to guarantee its safety. Both software and hardware make up the constructed lab model of the Internet of Things system. Among the specialized parts of the system are a LiDAR sensor, an Arduino Esp32 microcontroller, and a network architecture. The sensor, which is mounted on top of the tank, collects data, which is subsequently transmitted to the microcontroller for processing. The sensor's primary function is to determine the level of lubricant in the tank. The data processing and link establishment for the network infrastructure are both handled by the microcontroller. Blynk Apps, a communication platform, is integral to the development of the system that is being created. In the event of an emergency, the system may either be automated or manually operated. The software has been programmed in such a way that it is able to send commands to the sensor using Blynk Apps from any place, provided that both connections are stable. The system provides the benefits of having a low cost as well as portability. The system is able to offer reliable data on the amount of the lubricant, which makes it possible to do maintenance and restock at appropriate time.
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Jamil, Abedalrahim Jamil Alsayaydeh, Wong Yoon Khang Adam, Adiyansyah Indra Win, Shkarupylo Vadym, and Jayasundar Jayananthinii. "Development of smart dustbin by using apps." ARPN Journal of Engineering and Applied Sciences 14, no. 21 (2019): 3703–11. https://doi.org/10.5281/zenodo.5163148.
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This paper entitled Development of Smart Dustbin by Using Apps. Arduino as a controller between ultrasonic sensors, buzzer, led, fan and WiFi Module. This system implemented so that cleaning department management or cleaners can be aware with the overflow of rubbish of a dustbin at certain place. It is very useful in daily life and important for all level of people either young, old, disable people or anyone who using the dustbin to throw rubbish. This is a very important system to be implemented mainly at the indoor buildings such as supermarket. The project started to work when there is a people coming near to the dustbin to throw rubbish where it will be detected by the ultrasonic sensor and motor will be open the cover of the dustbin. The level of rubbish inside can be seen through the Blynk Apps. Once the level of rubbish reached a certain level a reminder notification will be send to the cleaning department to give a warning that dustbin going to be full. Another notification will be send once the level of rubbish reached maximum level to take immediate action to collect the rubbish through the Bylnk Apps and buzzer started to give beep sound.
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Waworundeng, Jacquline M. S., Novian Chandra Suseno, and Roberth Ricky Y. Manaha. "Automatic Watering System for Plants with IoT Monitoring and Notification." CogITo Smart Journal 4, no. 2 (2019): 316. http://dx.doi.org/10.31154/cogito.v4i2.138.316-326.
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Soil moisture related to water content which a factor that affects the plant growth. The process of watering plants is generally done manually regardless of the volume of water needed by plants. This re research discussed about an automated prototype and a system that have the function of watering plants based on the soil moisture level. The method used is prototyping which is suitable with the research purpose. The prototype and systems built with microcontroller, soil moisture sensors, relay and solenoid valve, which integrated with the IoT platform Blynk apps and Thingspeak. The process starts from the detection of soil moisture by the sensor. If soil moisture value is detected on 30% - 35%, then the device activates the watering function by opening the valve from the solenoid valve to drain water to the pipe. When the soil moisture detected more then 35% , the device stops the watering function. ThingSpeak IoT platform, used to display moisture percentage data in graphical form. Blynk apps provide notification features to the user's smartphone when the watering device is activated or deactivated. Based on the test scenario performed, it was found that the percentage of soil moisture with an initial value of 30% - 35% increased to 68.2%, after the watering process. Each component of the device and system has been tested and functioning according to the purpose, so the system has the potential to be used in the process of watering the plants automatically.Keywords: automatic watering system, microcontroller, soil moisture, sensor, IoT.
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Niharika, M. "Home Automation Controlled through Wifi-Module and Blynk App." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3374–83. http://dx.doi.org/10.22214/ijraset.2021.35710.
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This Home Automation System is based on the ESP8266 wifi module. With the help of this project the electrical loads can be controlled using your android cell phone. For this project we have to connect ESP8266 Wi-fi module and cell phone with the same WIFI network. This project can be used at homes, offices, colleges, universities, and so on. For the Worldwide control system, we can use the Nodemcu ESP8266 Wifi Module. This system is very convenient and economical to use. Major components used in it are: esp8266 wifi modulerelays. With this internet of things we can control four home appliances from the Blynk app, we can also use manual switches to control the appliances with or without internet and we can also monitor real-time feedback. So this is very useful to make our devices smart .In this project we have used four channel relay. In this project we have controlled AC appliances like Lights etc. In this project we used IFTTT with the help of ifttt we can connect all of our apps and devices.
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C., Venkataiah, and Jayamma Manjula. "An Automatic Basic Smart Home Prototype System." Recent Trends in Analog Design and Digital Devices 6, no. 2 (2023): 39–46. https://doi.org/10.5281/zenodo.8288935.
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<em>The term "internet of things" (IoT) describes a network of interconnected hardware, software, and services that enable users to control hardware and software remotely from a computer, smartphone, or other internet-connected device. It also describes the use of code and algorithm frameworks to control hardware and software for use in artificial intelligence (AI) technologies. If we want to create complicated systems utilising Python algorithms, we can manage our equipment, materials, and products remotely using mobile apps or online interfaces by connecting them to a Wi-Fi or Ethernet network. That provides a very brief definition of the Internet of Things. Beyond the "smart home," where it is largely used to control lighting and other home appliances, the Internet of Things (IoT) has a wide range of uses. It can also be used as a network security system or a factory system, for example, to operate completely automatic industrial machines, unlock or lock the main building door, or control network and telephone connections. However, with the aid of Internet of Things technologies, more may be achieved. Large structures like industries and government buildings often have a tonne of lighting fixtures. Some employees don't turn them off before leaving the office. The study's suggested energy-saving tactic is to have the security guard control the building's lighting using the Blynk app on a smart smartphone. Switches placed around the building and the Blynk app may both be used to control the lights depending on the wiring configuration. This paper presents a fundamental smart home prototype or a low-cost, straightforward approach to regulating loads over a Wi-Fi network.</em>
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Syahir, Haziq Shahar, Izawana Ismail Syila, Nur Shaadah Nik Dzulkefli Nik, Abdullah Rina, and Firdaus Mohd Zain Mazratul. "Arduino based irrigation monitoring system using Node microcontroller unit and Blynk application." Arduino based irrigation monitoring system using Node microcontroller unit and Blynk application 31, no. 3 (2023): 1334–41. https://doi.org/10.11591/ijeecs.v31.i3.pp1334-1341.
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In the case of traditional irrigation systems, irrigation is done manually by the user. Since the water is irrigated directly into the land, plants undergo high stress from variations in soil moisture, and therefore plant appearance is reduced. The objective is for remote monitoring and controlling devices, which are controlled using a Wi-Fi module, and to optimize water consumption. The sensors collect and evaluate data regarding changing weather, soil moisture levels, and water levels before sending timely notifications to the user's phone and desktop. The system also contains a device application (Blynk) that runs on various devices and may be used to monitor plant conditions at the user's workplace. It constantly monitors the situation and notifies the user of any developments that necessitate urgent action. It combines the sensor devices, Node microcontroller unit (NodeMCU), and Arduino to work together to meet the system's objectives.
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Othman, Norhalida, Zakiah Mohd Yusoff, Mohamad Fadzli Khamis @ Subari, Nur Amalina Muhamad, and Noor Hafizah Khairul Anuar. "Innovating household efficiency: the internet of things intelligent drying rack system." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 1 (2025): 99. https://doi.org/10.11591/ijeecs.v38.i1.pp99-106.
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The intelligent drying rack system (IIDRS) proposes an innovative approach to modernize clothes drying practices using internet of things (IoT) technology. Combining an Arduino Uno microcontroller, ESP8266 for data transmission, and an array of sensors including limit switches, light dependent resistors (LDRs), rain sensors, and temperature/humidity sensors, the IIDRS enables automated control of the drying rack and fan. Its remote accessibility via Blynk apps allows users to conveniently adjust settings and monitor drying progress. By autonomously adjusting drying cycles based on real-time environmental conditions, the IIDRS enhances efficiency and minimizes inconveniences such as wet clothes during rainfall. Moreover, it contributes to sustainable living by optimizing energy consumption through weather-based operation. With its intuitive interface and compatibility with modern lifestyles, the IIDRS represents a significant advancement in smart home solutions, showcasing the transformative potential of IoT technologies in everyday tasks.
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Norhalida, Othman Zakiah Mohd Yusoff Mohamad Fadzli Khamis @. Subari Nur Amalina Muhamad Noor Hafizah Khairul Anuar. "Innovating household efficiency: the internet of things intelligent drying rack system." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 1 (2025): 99–106. https://doi.org/10.11591/ijeecs.v38.i1.pp99-106.
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The intelligent drying rack system (IIDRS) proposes an innovative approach to modernize clothes drying practices using internet of things (IoT) technology. Combining an Arduino Uno microcontroller, ESP8266 for data transmission, and an array of sensors including limit switches, light dependent resistors (LDRs), rain sensors, and temperature/humidity sensors, the IIDRS enables automated control of the drying rack and fan. Its remote accessibility via Blynk apps allows users to conveniently adjust settings and monitor drying progress. By autonomously adjusting drying cycles based on real-time environmental conditions, the IIDRS enhances efficiency and minimizes inconveniences such as wet clothes during rainfall. Moreover, it contributes to sustainable living by optimizing energy consumption through weather-based operation. With its intuitive interface and compatibility with modern lifestyles, the IIDRS represents a significant advancement in smart home solutions, showcasing the transformative potential of IoT technologies in everyday tasks.
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Qisti, Qawiem Naif, Noramalina Abdullah, and Khairul Azman Ahmad. "Enhanced Solar Tracking System Using Internet of Things Technology." Platform : A Journal of Engineering 7, no. 4 (2023): 2. http://dx.doi.org/10.61762/pajevol7iss4art25232.
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Solar energy has grown in popularity in recent years. Conventional solar panels cannot provide enough energy to meet consumer demand. Therefore, more solar panels are needed to meet consumer demand. The Internet of Things (IoT) Solar Tracker maximises solar energy collecting by connecting the physical and digital worlds. This study integrates IoT to improve solar tracker performance. Blynk uses the NodeMCU ESP8266 control unit to monitor voltage, current, and power usage. This research uses the Arduino IDE, a photoresistor sensor, and a current sensor, INA219. This work advances solar energy efficiency. By comparing solar panel electrical qualities in different environments, this research succeeded. To assess solar panel efficiency, 5 V and 12 V fans were used as loads. The results demonstrated that load configuration deliberately influences power and energy production. Solar panels produced greater power and energy under 12 V fan loads than 5 V loads. This observation assists solar energy system analysis and design. Second, the IoT solar tracker was tested for electricity harvesting. The solar tracker harvested more solar energy than a fixed orientation. After tracking the sun, it enhances voltage, current, power, and energy by 30%. Web dashboards and smartphone apps allow real-time IoT device monitoring and control. The interactive web dashboard displayed solar panel data. Track electrical properties and sunshine intensity. IoT devices influence solar tracker decisions and promote sustainable energy.Keywords: IoT solar tracker, Blynk application, NodeMCU ESP8266
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Waworundeng, Jacquline Morlav S., Oktaviani Dumanaw, and Tania Rumawouw. "Prototipe Detektor Suhu dan Kelembaban Berbasis IoT di Ruang Server Sistem Informasi Universitas Klabat." CogITo Smart Journal 7, no. 1 (2021): 193–203. http://dx.doi.org/10.31154/cogito.v7i1.314.193-203.
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Sistem Informasi Unklab (SIU) digunakan untuk mengolah informasi dan memberikan sarana komunikasi terkait akademik secara khusus di kampus Universitas Klabat. SIU ditunjang oleh perangkat keras yang berfungsi sebagai server yang ditempatkan di ruang khusus. Perangkat yang bekerja secara kontinu di ruang server SIU dapat mengalami perubahan suhu dan kelembaban sehingga memengaruhi kinerja dari server. Dalam penelitian ini, perancangan detektor dan analisis dilakukan agar dapat memberikan kemudahan dalam memantau dan mengetahui kondisi suhu dan kelembaban di ruangan server SIU. Informasi suhu dan kelembaban berupa angka, dapat menjadi data yang terekam untuk dianalisa, serta menyimpulkan apakah keadaan suhu dan kelembaban di ruang server SIU sesuai standar atau tidak. Penelitian ini mengacu pada metode Prototyping dengan tahapan pengumpulan data dan analisis sistem, perancangan detektor, pengkodean, uji coba dan implementasi. Adapun komponen utama yang digunakan untuk prototipe alat, terdiri atas sensor suhu dan kelembaban DHT11, mikrokontroler Wemos D1, serta platform IoT Blynk yang berfungsi sebagai sistem notifikasi yang menampilkan data yang terekam dari sensor dalam bentuk grafik. Berdasarkan hasil pengujian detektor yang diaktifkan dalam waktu 3 jam, didapati bahwa rangkaian detektor dan sistem dapat berfungsi sesuai tujuan serta aplikasi Blynk Apps dapat menampilkan informasi suhu dan kelembaban dari ruang server SIU. Dari hasil pengujian dan analisis data, disimpulkan bahwa suhu rata-rata di ruang server SIU yaitu 22.43 0C dimana nilai tersebut termasuk dalam kisaran nilai standar suhu server pada 18-27 °C. Untuk rata-rata kelembaban didapati nilai 43.73 % rH, berada pada kisaran nilai standar 40-55% rH. Sehingga disimpulkan bahwa nilai suhu dan kelembaban di ruang server SIU memenuhi nilai standar yang ada.
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Nur Azura Noor Azhuan, Brandon James, Adam Samsudin, et al. "Development Home Automation and Safety Circuit Breaker with Esp8266 Microcontroller." Journal of Advanced Research in Applied Mechanics 120, no. 1 (2024): 85–98. http://dx.doi.org/10.37934/aram.120.1.8598.
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This study addresses common challenges in conventional home electricity usage, with a focus on safety concerns related to gas leakage. In many cases, current technology lacks immediate power usage tracking, and manual control of circuit breakers, sockets, and lamps proves challenging, especially when users are away. To overcome these issues, this project employs an ESP8266 Wi-Fi Shield Arduino as a microcontroller connected to sensors and a servo motor. In the proposed system, users can detect gas leakage, control lamp and socket activation, and manage the Residual Current Circuit Breaker (RCCB) with the servo motor by utilizing Blynk apps for monitoring. The main objective of this study is to design a centralized system that enables users to control and manage home electrical appliances via smartphone. The methodology involves developing a microcontroller program for the Cytron ESP8266 WiFi Shield, creating an auto-reclosure circuit breaker notification, and building a practical gas leakage detection prototype for household applications. Additionally, the system addresses lightning-induced overvoltage issues, analyzes nuisance tripping, and provides control over home appliance usage while effectively detecting hazardous gas leaks. The approach is based on Blynk and the ESP8266 Wi-Fi Shield Arduino by incorporating data from limit switch conditions, relay status, voltage sensors, current sensors, and power consumption. The results justify the servo's efficient performance, reliable relay operations, and precise gas sensor triggering. Despite slight variations in current and voltage values compared to the actual meter, the system offers a successful and systematic approach to enhancing home electricity management and safety.
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Hanafie, Ahmad, Sukirman Sukirman, Karmila Karmila, and Murni Ema Putri. "PENGEMBANGAN TEMPAT SAMPAH CERDAS BERBASIS INTERNET OF THINGS (IOT) STUDI KASUS FAKULTAS TEKNIK UIM." ILTEK : Jurnal Teknologi 16, no. 1 (2021): 34–39. http://dx.doi.org/10.47398/iltek.v16i1.589.
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Sampah merupakan masalah yang sering menjadi trending topik di hampir semua negara berkembang. Kondisi sampah yang ada di lingkungan sekitar kita saat ini masih dalam kondisi tercampur jenisnya, karena belum dilakukan pemilahan sampah. Kurangnya teknologi informasi pengelolaan sampah oleh petugas juga menyebabkan penanganan sampah menjadi lambat sehingga seringkali terjadi penumpukan sampah. Tujuan penelitian adalah untuk mengembangkan tempat sampah cerdas yang dapat memilah sampah logam, kering dan basah secara otomatis melalui fungsi Internet of Things (IoT). Metodologi yang digunakan adalah Reasearch and Development yang dapat memberi informasi jika tempat sampah dalam kondisi penuh. Hasil penelitian yang diperoleh berdasarkan rancangan prototipe tempat sampah menggunakan arduino uno sebagai kontrol sistem. Respon berupa gerak servo untuk membuang objek ke bak yang sesuai dengan jenis objek yang diberikan. Servo untuk mengendalikan pintu tempat sampah dan memilah sampah. sensor proximity kapasitif dan sensor proximity induktif untuk mendeteksi sampah logam, kering dan basah. Sensor ultrasonic HC-SR04 untuk mendeteksi ketinggian sampah, sedangkan Blynk apps pada smartphone yang terhubung ke internet.
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Hanafie, Ahmad, Sukirman Sukirman, Karmila Karmila, and Murni Ema Putri. "PENGEMBANGAN TEMPAT SAMPAH CERDAS BERBASIS INTERNET OF THINGS (IOT) STUDI KASUS FAKULTAS TEKNIK UIM." ILTEK : Jurnal Teknologi 16, no. 01 (2021): 34–39. http://dx.doi.org/10.47398/iltek.v16i01.42.
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Sampah merupakan masalah yang sering menjadi trending topik di hampir semua negara berkembang. Kondisi sampah yang ada di lingkungan sekitar kita saat ini masih dalam kondisi tercampur jenisnya, karena belum dilakukan pemilahan sampah. Kurangnya teknologi informasi pengelolaan sampah oleh petugas juga menyebabkan penanganan sampah menjadi lambat sehingga seringkali terjadi penumpukan sampah. Tujuan penelitian adalah untuk mengembangkan tempat sampah cerdas yang dapat memilah sampah logam, kering dan basah secara otomatis melalui fungsi Internet of Things (IoT). Metodologi yang digunakan adalah Reasearch and Development yang dapat memberi informasi jika tempat sampah dalam kondisi penuh. Hasil penelitian yang diperoleh berdasarkan rancangan prototipe tempat sampah menggunakan arduino uno sebagai kontrol sistem. Respon berupa gerak servo untuk membuang objek ke bak yang sesuai dengan jenis objek yang diberikan. Servo untuk mengendalikan pintu tempat sampah dan memilah sampah. sensor proximity kapasitif dan sensor proximity induktif untuk mendeteksi sampah logam, kering dan basah. Sensor ultrasonic HC-SR04 untuk mendeteksi ketinggian sampah, sedangkan Blynk apps pada smartphone yang terhubung ke internet.
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Julida, N. L., S. M. Othman, M. N. Ayob, et al. "IoT Based Smart Betta Fish Monitoring system with fish fatality prediction." Journal of Physics: Conference Series 2641, no. 1 (2023): 012016. http://dx.doi.org/10.1088/1742-6596/2641/1/012016.
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Abstract This study enlightens the importance of rearing water quality to Betta fish health. A water quality monitoring system was developed based on water quality parameters namely water pH, temperature (°C) and TDS level (ppm). Fuzzy Logic Algorithm was applied to predict the possibility of the fish to get infected by the disease using combination of the water quality parameters value. Graphical User Interface (GUI) was developed to test the efficiency of the fish disease prediction system using fuzzy logic algorithm before the fuzzy rule been embedded to the IOT system. Arduino Uno Wi-Fi R2.0 and Blynk Apps used for enabling the system to update the aquarium water quality to owner in real-time. Hydroponic technology implemented in this project for recirculate rearing water inside the fish tank. Theoretically, the aquaponic system will help regulate the water tank parameters in optimum range and Betta Splendens should be free from all diseases.
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Jannah, Nusaibah Fathul, Hafiyyan Putra Pratama, and Syifaul Fuada. "IOT-Based Smart Door Selector For Double Security: Integration of Rfid and Blynk App for Economical Solution." Eduvest - Journal of Universal Studies 4, no. 10 (2024): 8580–91. http://dx.doi.org/10.59188/eduvest.v4i10.39011.
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This research aims to design and develop an Internet of Things (IoT)-based smart door lock system by utilizing Radio Frequency Identification (RFID) technology and the Blynk application. The system is designed to improve the level of home security by providing a variety of flexible access methods, including the use of RFID cards, smartphone apps, and emergency buttons. The prototype method is applied in system development, which involves creating a physical model to evaluate its performance and functionality. The test results showed that the system was operating properly, where RFID only responded to the registered card to unlock, thus increasing access security. Hardware design that is carried out with an economical approach and simple use of components makes this system more affordable compared to commercial smart door lock products on the market. This research shows great potential in increasing efficiency and comfort in managing home security systems and offers ease of implementation in various types of housing. Thus, this research makes a significant contribution to the development of innovative and practical solutions to improve home safety at a lower cost while providing a sense of security for its occupants.
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Yahaya, Irfan, and Ahmad Nazrul Rosli. "A Flash Flood Warning System Using Solar Powered Node MCU." Journal of Engineering Technology and Applied Physics 7, no. 1 (2025): 45–49. https://doi.org/10.33093/jetap.2025.7.1.8.
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Flash flood disasters are natural phenomena in Malaysia that can occur anytime and anywhere. For safety precautions, a notification message should be sent to the people early to avoid any losses of property or life. This system is designed as an earlier flood alert system that can detect water levels using an ultrasonic sensor. The objectives of this research are to develop a system that can be aware of the water level of flood to the user and send a notification to people about the flood’s condition through the mobile application. NodeMCU, an ultrasonic sensor, and solar technology developed the system. This project focuses on monitoring water levels, using Wi-Fi as a medium to send warning notifications to people through mobile phones, and the accuracy of ultrasonic sensors using and without pipes. This prototype can send short warning notifications to Blynk apps. The average percentage error of the water level distance from the ultrasonic sensor with pipe was lower than without pipe, which was 2.55% and 3.11%, respectively. This system improved the notification message-sending method and detection of the ultrasonic sensor.
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Alfanugraha, Kevin. "Rancang Bangun Alat Penyiraman Tanaman Tomat Otomatis Menggunakan Sensor Rtc Berbasis Arduino Uno." COMSERVA Indonesian Jurnal of Community Services and Development 2, no. 5 (2022): 369–83. http://dx.doi.org/10.59141/comserva.v2i5.317.
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Water is an important thing that is needed by tomato plants because water is the main component in compiling plant tissue cells. Therefore, the purpose of this research is to design an automatic tomato plant watering tool using an Arduino Uno-based RTC sensor which is expected to be able to water the plants automatically with a set time. To achieve this goal, Arduino IDE software is used to program the tool. The hardware used is electronic components including Arduino Uno board, RTC Sensor, Temperature Sensor, Humidity Sensor, LCD, Relay, ESP 8266, Adapter, DC to DC, Pump, Blynk Apps, and Android Smartphone. Tests conducted on this tool include: Testing the need for good water for tomato plants. Testing soil moisture that is suitable for tomato plants. Testing the air temperature that is good for tomato plants. Testing the automatic watering scheduling time. The test results are as follows: Water for watering is 3.2 - 3.6 mm per day. Soil moisture for tomato plants is between 60% - 80%. The ambient temperature for tomato plants ranges from 24 - 28°C. Watering scheduling time is done 2 times a day.
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Jie, Lim Wei, Teoh Poh Sen, Nor Maniha Abdul Ghani, and Mohammad Fadhil Abas. "Automatic Control of Color Sorting and Pick/Place of a 6- DOF Robot Arm." Journal Européen des Systèmes Automatisés 54, no. 3 (2021): 435–43. http://dx.doi.org/10.18280/jesa.540306.
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This work focuses on the implementation and design of a six degree of freedom, 6-DOF control of automatic color sorting and pick and place tasks for a robot arm using wireless controlling interface – Blynk apps. Based on the collaboration between the servo motor and input color sensor, this wireless control of automatic color sorting robot arm provides a powerful wireless control GUI (Graphics User Interface) and to enable the method for manual color sorting mode. The color sorting mode is performed once the mode is turned on by the user. The robot arm able to differentiate the colors of the object (input) and categorize or classify the object to the correct places automatically. It provides a stable, efficient, and precision results without any vibration of control as the main target for this project. In this work, six servo motors were used to realize the real robotic arm for industrial use. Five servos were operated to control the entire robot arm motion including the base, shoulder, and elbow as well as one servo is reserved for the positioning of the end effector. Two input variables namely TSC3200 Color Sensors & HC-SR04 Ultrasonic Sensors were employed as the input for the robot arm. The output variable mainly focused on the servo motor as the links for the robot arm to reposition and change the motion for the entire system.
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Zhe, Chin Kang, and Nurmiza Othman. "IoT-based Automatic Pill Dispenser for Hyperlipidemia’s Patient." Semarak International Journal of Applied Sciences and Engineering Technology 5, no. 1 (2025): 25–35. https://doi.org/10.37934/sijaset.5.1.2535.
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The elderly who stay at home alone, especially those with hyperlipidemia, would have problems taking their medicine if their medicine is too much with a different variety. The current market product that provides a pill dispensing service is costly with limited functionality; some require a monthly subscription fee and do not have passcode protection for safe use. This work proposed an innovative design of a prototype model of a pill dispenser for the elderly with IoT functionality. This prototype provides tolerance to the most general type of pills and hyperlipidemia-related pills in specific. The prototype employed the integration of hardware and software apparatus. The hardware components include the Durian UNO board, ESP8266 Wi-Fi transceiver module, stepper motor, RFID kit, temperature, humidity sensor, push button, solenoid door lock, buzzer and relay module. The hardware part will support different monitoring systems while sending the data through the Internet for real-time monitoring. Solid Work, Arduino IDE, Blynk Apps and Fritzing software will be utilized for the software. This prototype is intended to provide all the essential features while maintaining the moderate cost of the product. The proposed design can greatly reduce the error of taking the wrong medicine. The caregiver can access the surrounding temperature and humidity of the dispenser. Besides, they can know whether the user has taken the medicine and receive emergency notifications from the user.
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Kassim, Murizah, Muhammad Zulhelmi Zulkifli, Norsuzila Ya'acob, and Shahrani Shahbudin. "IoT System on Dynamic Fish Feeder Based on Fish Existence for Agriculture Aquaponic Breeders." Baghdad Science Journal 18, no. 4(Suppl.) (2021): 1448. http://dx.doi.org/10.21123/bsj.2021.18.4(suppl.).1448.
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Maintaining and breeding fish in a pond are a crucial task for a large fish breeder. The main issues for fish breeders are pond management such as the production of food for fishes and to maintain the pond water quality. The dynamic or technological system for breeders has been invented and becomes important to get maximum profit return for aquaponic breeders in maintaining fishes. This research presents a developed prototype of a dynamic fish feeder based on fish existence. The dynamic fish feeder is programmed to feed where sensors detected the fish's existence. A microcontroller board NodeMCU ESP8266 is programmed for the developed hardware. The controller controls the feeding and feedback mechanism based on attached sensors. An ultrasonic sensor is programmed with the controller to detect the level of food and waterproof ultrasonic to detect existing fish. The humidity sensor was used to measure the humidity in the food container to control the food freshness. Two servo motors were used to move the waterproof sensor to attract the fish and to dispense the food to the fish when existed. The result presents four measured levels that are the temperature of the food container, the quality of food based on humidity measured, fish detection counter and level of fish food in the container. Data analytics on all the measured levels was presented on the ThingSpeak platform by using Blynk to get data collections from all sensors. This research is significant for fish breeders that support IR4.0 system connected online and mobile apps which also contribute to today’s agriculture.
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Majiid, Muhammad Irfanuddin, and Abdu Fadli Assomadi. "RANCANG BANGUN ALAT PEMANTAU KUALITAS UDARA DENGAN PEMANFAATAN IoT (INTERNET OF THINGS) BERBASIS MIKROKONTROLER MENGGUNAKAN SENSOR MQ-135 DAN MQ-136 PADA WILAYAH KABUPATEN PONOROGO (PARAMETER CO2 DAN SO2)." Jurnal Purifikasi 22, no. 1 (2023): 12–19. http://dx.doi.org/10.12962/j25983806.v22.i1.444.
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Studi ini menggunakan alat pemantau udara berbasis IoT Arduino uno dengan sensor MQ-135 dan sensor MQ-136. Arduino Uno adalah board mikrokontroler berbasis ATmega328 (datasheet). Memiliki 14 pin input dari output digital dimana 6 pin input tersebut dapat digunakan sebagai output PWM dan 6 pin input analog, 16 MHz osilator kristal, koneksi USB, jack power, ICSP header, dan tombol reset. Untuk mendukung mikrokontroler agar dapat digunakan, Board Arduino Uno dihubungkan ke komputer dengan menggunakan kabel USB atau listrik dengan AC yang-ke adaptor-DC atau baterai untuk menjalankannya. Jenis sensor MQ-135 adalah salah satu sensor yang dapat mendeteksi kadar gas CO2. Sensor ini memiliki konduktivitas rendah jika diletakkan di udara bersih. Lalu jenis sensor MQ-136 merupakan sensor yang memiliki sensitivitas tinggi terhadap gas SO2, sensor ini juga dapat digunakan untuk mendeteksi uap lain yang mengandung gas sulfur. Pada kedua sensor tersebut terdapat nilai resistansi (Rs) yang dapat berubah bila terkena gas dan juga sebuah pemanas yang digunakan sebagai pembersihan ruangan sensor dari kontaminasi udara dari luar. Output dari kedua sensor tersebut berupa data analog. ESP8266 merupakan Smart on Chip (SoC) Wi-Fi yang didesain berukuran minimalis dan hanya menggunakan sedikit rangkaian eksternal. Chip tersebut dapat berkomunikasi melalui infrastruktur wifi menggunakan protokol IPv4, TCP/IP, dan HTTP. Hasil dari pembacaan sensor MQ-135 dan MQ-136 pada alat mikrokontroler menunjukkan nilai yang cukup baik dan juga memenuhi baku mutu yang ada. Pada sensor MQ-135 untuk pembacaan gas CO2 memiliki hasil rata rata 314 ppm. Pada sensor MQ-136 untuk pembacaan gas SO2 memiliki nilai rata rata 0,015 ppm. Sistem kerja pada Android yang dipakai menggunakan aplikasi Blynk Apps dengan pembuatan coding untuk LCD, LED, buzzer, serta sensor yang disambungkan ke smartphone melalui wireless. Penggunaan fitur value sebagai real-time data telah dapat memonitoring dan memberikan notifikasi kualitas udara via smartphone maupun email.
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V A, Jithin. "IOT Based Motor Bike Speed Control System Using Blynk App." International Journal of Science and Research (IJSR) 13, no. 6 (2024): 1259–63. http://dx.doi.org/10.21275/sr24614205438.
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BENEDIKTOVÁ, Lenka. "BLANK APPS, THEIR USAGE IN NATURAL HISTORY SUBJECTS AND THEIR EFFECT ON STUDENTS ON 2ND STAGE OF ELEMENTARY SCHOOLS." Journal of Technology and Information 13, no. 2 (2022): 243–53. http://dx.doi.org/10.5507/jtie.2022.001.
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Fatmaryanti, Siska Desy, Yusro Al Hakim, Sugeng Eko Putro Widoyoko, and Raden Wakhid Akhdinirwanto. "Smart Tools for Smart Learning: IoT-Based Landslide Early Warning System with TILT Sensors and Apps." E3S Web of Conferences 622 (2025): 03001. https://doi.org/10.1051/e3sconf/202562203001.
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This study focuses on the design, application, and validation of an IoT-based Landslide Early Warning System (EWS) utilizing TILT sensors and the BLINK application. The goal is to develop an educational yet functional system to enhance students’ understanding of landslide mechanics and real-time monitoring for early warning. The system integrates TILT sensors to detect slope movement and slope angle changes. These sensors are connected to the BLINK application, which serves as an easy-to-use interface for data visualization and real-time alerting. The system is then tested in a simulated environment to validate its accuracy. Results show a detection accuracy of 95% for slope instability events, with alerts sent to the BLINK application within milliseconds. Additionally, user trials involving high school students revealed significant improvements in their understanding of landslide triggers and the role of early warning systems. These findings highlight the dual benefits of this system as both an educational tool and a functional early warning tool. By combining IoT technology with hands-on learning, this approach bridges theoretical knowledge and practical application, empowering students to understand and mitigate landslide risks.
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Deepak, NR, and N. Thanuja. "Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 1 (2021): 251–56. https://doi.org/10.35940/ijeat.A3187.1011121.
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The massive deployment of Internet of Things (IoT) is allowing Smart City projects and initiatives all over the world. Whereas IOT deals with intricate systems that integrates multiple disperse components towards their synergetic use. Due to resource constraints, there will be a problem in the future to provide all the services to the residents. To continue to serve and improve the standard of living of the growing population, it is necessary to develop smart cities. The Smart City aims to make optimal and sustainable use of all resources, while maintaining an appropriate balance between social, environmental and economic costs. The wireless sensors are attached to street lamp, water tank, dustbin. Sensors are then attached to Arduino microcontroller board where each and every necessary parameter for city are monitored and updated to cloud. The cloud is connected with Blynk server in turn which is connected to build in Blynk application of user's Android phone. The technology we use is IOT in this model a system of interconnected smart modules is developed where each and every parameter necessary for a city is monitored and updated to the cloud. Emphasis is given on how sensing and communication technologies of IOT can effectively be used in smart city monitoring. The project aims at developing a system which facilitates aids in collection of data with the help of interconnected modules consisting of multiple sensors useful for smart city monitoring. Further this project also includes controlling of some parameters like water, light and dust bin.
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Harshini, M., and Vadivel R. "IoT based weather monitoring system for temperature, humidity, rainfall and seismic detection in real time." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 812–22. https://doi.org/10.5281/zenodo.14060621.
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This paper presents the design and implementation of an IoT-based weather monitoring system enhanced with seismic detection capabilities, employing Node MCU microcontroller and the Blynk mobile application platform. The system incorporates various sensors including a rain sensor, Light light-dependent resistor (LDR), a DHT11 sensor for temperature and humidity measurement, and an accelerometer (MPU6050) for earthquake detection. The hardware components are interconnected with the Node MCU microcontroller, facilitating real-time data acquisition from the sensors. Programming of the Node MCU is conducted using the Arduino IDE, enabling data transmission to the Blynk app via Wi-Fi connectivity. The Blynk app serves as the user interface, allowing seamless visualization and monitoring of weather parameters and seismic activity on smartphones. Key functionalities of the system include periodic data collection from sensors, transmission of sensor data to the Blynk server, and updating of graphical representations in the Blynk app interface. The accelerometer sensor is utilized to detect changes in acceleration, indicative of seismic disturbances. Threshold values are defined to trigger alerts within the Blynk app in the event of potential seismic activity. The implementation undergoes rigorous testing to ensure accuracy, reliability, and responsiveness under diverse environmental conditions. Considerations such as network stability, power efficiency, and data security are addressed to enhance system performance and longevity. The system demonstrates promising capabilities for real-time weather monitoring and seismic event detection, offering valuable insights for disaster preparedness and environmental analysis. IoT-based weather monitoring system integrated with seismic detection provides an effective solution for comprehensive environmental monitoring, leveraging the power of IoT technology and mobile applications for enhanced data accessibility and analysis. Further advancements and optimizations can be explored to extend the functionality and scalability of the system for broader applications in environmental science and disaster management.
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Thabagnana, priya D., and R.Vadivel. "Biometric door lock system with automated fire detection alert." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 1201–8. https://doi.org/10.5281/zenodo.14063537.
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The reconciliation of biometric advancements and fire recognition components in shrewd homes is critical for access control and crisis readiness. The Blynk mobile app is used to access this project's biometric door lock and automated fire detection system. For access authorization, the biometric system uses cutting-edge fingerprint or facial recognition technology. The mechanized fire location framework screens the climate for potential fire dangers and triggers an alert when distinguished. The Blynk application gives controller and checking abilities, permitting inhabitants to lock or open the entryway, get ongoing warnings, and remotely screen the fire discovery framework's status. The microcontroller coordinates communications between the frameworks, outfitted with Wi-Fi availability. The Blynk application point of interaction is planned with easy-to-understand gadgets, permitting inhabitants to control and screen the coordinated frameworks. Safety efforts, for example, encoded correspondence conventions and secure stockpiling of biometric information, shield client protection. This all-encompassing approach to residential security ensures that their homes can effectively handle access control and emergencies, providing residents with security and peace of mind.
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Park, Young Sook, Jaehoon Choi, and Sang Woo Park. "Blink reflex changes and sensory perception in infraorbital nerve-innervated areas following zygomaticomaxillary complex fractures." Archives of Plastic Surgery 47, no. 6 (2020): 559–66. http://dx.doi.org/10.5999/aps.2020.01130.
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Background Infraorbital nerve dysfunction is commonly reported after zygomaticomaxillary complex fractures. We evaluated sensory changes in four designated areas (eyelid, nose, zygoma, and lip) innervated by the infraorbital nerve. This evaluation was conducted using the static two-point discrimination test and the vibration threshold test. We assessed the diagnostic significance of the blink reflex in patients with infraorbital nerve dysfunction.Methods This study included 18 patients, all of whom complained of some degree of infraorbital nerve dysfunction preoperatively. A visual analog scale, the infraorbital blink reflex, static two-point discrimination, and the vibration threshold were assessed preoperatively, at 1 month postoperatively (T1), and at a final follow-up that took place at least 4 months postoperatively (T4). The results were analyzed using a multilevel generalized linear mixed model.Results Scores on the visual analog scale significantly improved at T1 and T4. The infraorbital blink reflex significantly improved at T4. Visual analog scale scores improved more rapidly than the infraorbital blink reflex. Two-point discrimination significantly improved in all areas at T4, and the vibration perception threshold significantly improved in the eyelid at T4.Conclusions Recovery of the infraorbital blink reflex reflected the recovery of infraorbital nerve dysfunction. We also determined that the lip tended to recover later than the other areas innervated by the infraorbital nerve.
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Mccallum, C., M. Campbell, M. Higgs, J. Vines, T. Rapley, and K. Hackett. "FRI0625-HPR APPS TARGETING SYMPTOMS ASSOCIATED WITH SJÖGREN’S SYNDROME AND POTENTIAL USERS’ PERCEPTIONS OF THEIR FEATURES: CONTENT ANALYSIS AND THINK ALOUD STUDY." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 917.2–917. http://dx.doi.org/10.1136/annrheumdis-2020-eular.997.
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Background:Sjögren’s syndrome (SS) is a rheumatic disease requiring self-management which may be delivered through smartphones. When developing digital interventions it is important to review what is already available (market segmentation)1to identify unique selling points and aid uptake and adoption. While there are no dedicated SS apps, many are publicly available for other rheumatic conditions2. Understanding user preferences for existing apps may help to design an engaging app for SS self-management.Objectives:To explore apps targeting SS symptoms of dryness, sleep disturbances, fatigue and pain. To explore views of people with SS on these app features.Methods:Apple Store apps were retrieved on 04 March 2019 using the following search terms:dry, dry eye, sleep, insomnia, fatigue, tirednessandpain. Included apps were English and in Medical or Health & Fitness genres. Exclusion criteria were; duplicates, additional external devices required and apps targeting alcohol reduction or children.Included apps were grouped by symptom. App descriptions were open-coded to generate a thematic coding framework (i.e. full list of features) for each symptom which was then applied to all app descriptions. To obtain views of people with SS, several of the reviewed apps for each symptom covering the full list of features were given to 13 focus group participants to use in ‘think aloud’ sessions (n=4). Audio data was recorded, transcribed and deductively analysed using the framework to gather opinions relating to each feature.Results:Of 914 apps retrieved, 542 were included. Features within apps targeting dryness (n=15) provided dry eye information, self-assessment and reminders to blink or look away from screens. Apps targeting sleep (n=310) included features to support sleep restriction, sleep hygiene, sleep tracking (sleep onset and wake up times, time in bed, overall sleep quality), relaxing sounds, guided meditation, sleep stories, snore recording and alarms. Fatigue apps (n=79) included features to detect current physical and mental fatigue levels, support pacing (i.e. track fatigue, label tasks as ‘high energy’, prioritise tasks), and self-massage instructions. Apps targeting pain (n=138) featured pain tracking (of severity, affected body areas), guided exercises, and mindfulness.Dryness apps prompted participants to reflect on its impact on daily activities, but further dryness features were desired relating to: using a humidifier; eye drop reminders; and dryness tips for other body areas e.g. vaginal dryness. Sleep restriction features were believed to be irrelevant but viewing and selecting sleep hygiene tips to “try” were considered useful. Beyond entering sleep onset and wake up times, participants wished to track “when and why I woke up”, to understand night awakenings in relation to other symptoms. Fatigue detection features were felt to be more useful for those recently diagnosed, as experienced participants could easy identify when they were fatigued (“I don’t need an app to tell me!”). Participants valued pacing features but found them difficult to use. Daily pain tracking was considered demotivating, but useful for remembering and explaining issues to healthcare professionals. Participants believed that a dedicated app for SS would support self-management and raise SS awareness.Conclusion:Existing apps targeting SS symptoms do not meet the needs of those with SS. App features should be tailored to SS by supporting dryness management in body areas beyond eyes, and night-awakenings. Pacing features must be easy to use. The ability to track pain should be optional and tracking prompts should be limited. Design considerations should be implemented alongside evidence-based behaviour change techniques to support self-management.References:[1] Araújo-Soares, V. et al (2019).European Psychologist,24(1), 7[2] Knitza, J., et al (2019).JMIR mHealth and uHealth,7(8), e14991Acknowledgments:Versus Arthritis (Grant 22026)Disclosure of Interests:None declared
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Prakash, P., S. Dhanush, A. Dharaneesh, and Bharathi K. Mohan. "Wi-Fi Based Smart LPG Monitoring and Control with Automatic Booking Alert System." Research and Reviews on Experimental and Applied Mechanics 5, no. 3 (2023): 1–8. https://doi.org/10.5281/zenodo.7556762.
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<em>In recent times there was a rapid development in the technology which has made human lifestyles less complicated in numerous factors. LPG cylinders become the integral part which is widely used in households. The customers don’t know about the usage of gas exactly and when they need to book a refill. The leakage of gas results dangerous accidents and serious problems in the household. The control measures should be taken at the respective time by the user. So, in this project we designed an IOT based system which helps in tracking the level of gasoline left inside the cylinder, detecting and controlling the gas leakage and sends an alert to the user to book a new cylinder if the gas level is low.</em>
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Kamalnath, M. A. Vijay, D. Yovan Snanagan Ponselvan, S. Asif Basha, and U. Meri Kishore. "EOG Based Eye Blink Detection using VB GUI for Eye Writing Applications." International Journal of Computer Science and Mobile Computing 12, no. 11 (2023): 22–28. http://dx.doi.org/10.47760/ijcsmc.2023.v12i11.002.
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Usage of bio-signals from Electro-Oculo-Gram (EOG) in Human Computer Interaction (HCI) systems is one of the burgeoning study areas as of now. In order to provide support for physically challenged persons (or keypad Contactless HCI) in operating basic computer functions without making any physical touch with the computer keypad or mouse, we propose a framework utilization concept that changes movement of cursor on the computer screen using virtual keypad based on Visual Basic Graphical User Interface (VB GUI) with the eye movement detection through webcam of the system for different computer functions. In this work, VB GUI platform is used for a web browsing application and corresponding platform operation steps have been included. With the VB GUI, the basic cursor movements in the directions of left, right, up, and down to access the web links on the web page which is treated as eye writing in the concept of human computer interaction. Similarly, we can access different computer Apps such as MS-Doc, XL sheets, Audio and video files etc. Further, this paper focus is on prototype development of different home automation system applications.
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Thoib, A., R. Kurniawan, and T. H. Budianto. "Design a bee calling tool using a caller voice and honey scent based on arduino and the blynk application." IOP Conference Series: Earth and Environmental Science 926, no. 1 (2021): 012036. http://dx.doi.org/10.1088/1755-1315/926/1/012036.
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Abstract Bees have the characteristics of always moving and will settle in one place because of the source of nectar. Bees use smells (pheromones) as a means of communication. In addition, bees also communicate through body movements called dances waggle and have a frequency range of 200 Hz - 300 Hz. Communication on bees serves to contain information about what will be done by a bee colony. Therefore the authors assume that honey bees can be called. So it is necessary to design a tool that can summon honey bees using the caller’s voice and the aroma of honey. The tool is controlled using Bluino and the Blynk app. The test was carried out using the caller’s voice in the frequency range of 265.9 Hz – 297.2 Hz which was obtained from the sound recording process in the bee colony Apis cerana, so the focus of this research was the process of calling bees Apis cerana. The aroma used is the aroma of resisting honey, the aroma of sugar water, and the aroma of bee attractants. From the results of testing using three kinds of scents for 7 days, the number of bees is called as follows. The aroma of honey against 837 tails, the aroma of sugar water 758 tails, and the aroma of attractant bees 118 tails. Based on the results of the study, the bee-calling device using the aroma of resisting honey was more dominant to use.
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Dux, P. E., and R. Marois. "The attentional blink: A review of data and theory." Attention, Perception & Psychophysics 71, no. 8 (2009): 1683–700. http://dx.doi.org/10.3758/app.71.8.1683.
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Lunau, Rasmus, and Christian N. L. Olivers. "The attentional blink and lag 1 sparing are nonspatial." Attention, Perception, & Psychophysics 72, no. 2 (2010): 317–25. http://dx.doi.org/10.3758/app.72.2.317.
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Rueppell, Olav, Kayla De Jong, Jacob J. Herman, and Cleo Randall. "Testing learning as alternative to the blank slate hypothesis in the honey bee, Apis mellifera." PLOS One 20, no. 6 (2025): e0325591. https://doi.org/10.1371/journal.pone.0325591.
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Reliable recognition of nestmates and discrimination against non-nestmates is key to the integrity of social insect colonies. Cuticular hydrocarbon profiles play a key role in this recognition process in many species, including honey bees. Newly emerged worker bees are largely devoid of cuticular hydrocarbons and therefore believed to represent a “blank slate” that is not discriminated against and instead accepted into other colonies regardless of colony origin. However, instead of being unrecognizable, the absence of cuticular hydrocarbons may also represent a recognizable “Gestalt”. Thus, an alternative hypothesis for the universal acceptance of newly emerged workers may be that older workers in every colony learn the absence of cuticular hydrocarbons as a familiar stimulus that belongs to their colony because other such workers are constantly emerging under normal circumstances. Here, we tested this hypothesis by comparing the response to newly emerged workers between bees that matured in colonies with and without newly emerging bees. Contrary to our prediction, we found no significant difference between these two experimental groups in an aggression bioassay towards newly emerged workers. We thus failed to provide empirical evidence against the blank slate hypothesis. However, the groups displayed significant differences in aggression towards foragers from their own respective colonies, indicating that the emergence of new workers in a colony can affect group discriminatory behavior in honey bees. Furthermore, we identified a negative effect of temperature on aggressive behavior toward newly emerged workers.
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Zhang, Man. "The Impact of Artificial Intelligence Virtual Oral Tutoring APPs on Chinese Youth’s Anxiety in Oral English learning——Interview Research Based on Users of Artificial Intelligence Speaking Tutoring APPs." Journal of Language, Culture and Education 1, no. 1 (2024): 31–35. http://dx.doi.org/10.70267/1bd0nr72.
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Foreign language learning anxiety is a long-standing topic that people use to guide foreign language teaching and the setting of foreign language education scenarios by studying the anxiety emotions that exist in foreign language learning. However, in today’s era of artificial intelligence (AI), with the release of ChatGPT, large language model AI technology is widely used. In such a new context, various AI virtual foreign language oral coaches have emerged. Due to the short development time of the large language model technology, the foreign language training model built on this technology is still in the initial stage of development, and the research on this field is very limited. The research on the improvement of foreign language learning emotions brought by GAI is even rarer. The foreign language learning method provided by the AI coach. What help does it have for foreign language learning? Does it alleviate foreign language learning anxiety? It has become a blank in foreign language learning emotion research. This study used semi-structured interviews with 10 Chinese young people between the ages of 20 and 40. Using the method of thematic analysis, the data of this interview were recorded and analyzed, and the conclusions reached were explained from the control value theory, and it was found that AI robots can alleviate many aspects of anxiety in foreign language oral learning, such as: communicative anxiety, situational anxiety, oral anxiety, hearing anxiety, and cognitive anxiety. It is very friendly to socially phobic people, providing emotional companionship and cognitive support for students who are lonely and helpless in foreign language oral communication, although the effect of foreign language improvement is different for different students, but it has an obvious effect on alleviating anxiety when learning foreign languages, and it is unexpectedly found that the AI robot foreign language coach also has the role of emotional companionship for learners, in addition to helping to alleviate anxiety, it can also provide positive emotional value through care, companionship, communication, etc. The findings of this paper are helpful to understand the help of AI technology on foreign language learning emotions, and to provide support for subsequent research on AI accompanying foreign language learning.
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Ghorashi, Shahab, James T. Enns, Thomas M. Spalek, and Vincent Di Lollo. "Spatial cuing does not affect the magnitude of the attentional blink." Attention, Perception, & Psychophysics 71, no. 5 (2009): 989–93. http://dx.doi.org/10.3758/app.71.5.989.
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Dale, Gillian, and Karen M. Arnell. "Individual differences in dispositional focus of attention predict attentional blink magnitude." Attention, Perception, & Psychophysics 72, no. 3 (2010): 602–6. http://dx.doi.org/10.3758/app.72.3.602.
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Lakshmi, prabha S., and Vadivel R. "Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 495–502. https://doi.org/10.5281/zenodo.14057629.
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This project introduces an innovative Air Quality Monitoring System based on IoT technology, leveraging components such as NodeMCU, DHT11, MQ135, a buzzer, an LCD, and the Blynk 2.0 app. The primary objective is to provide real-time monitoring of environmental conditions, encompassing temperature, humidity, and air quality, while also offering audible alerts for immediate user notification. The NodeMCU functions as the central microcontroller, interfacing with the DHT11 sensor for temperature and humidity readings and the MQ135 sensor for air quality measurements. The collected data is visually displayed on a 16x2 LCD screen. Additionally, the system enables remote monitoring and control through the Blynk 2.0 app. The app displays comprehensive information using gauge widgets for temperature, humidity, and air quality, along with detailed statistics through a display widget. To enhance user awareness, an integrated buzzer delivers audible alerts when air quality exceeds predefined thresholds. The Arduino sketch incorporates essential libraries for sensor interfacing, data processing, and seamless integration with the Blynk app. The app is configured with widgets corresponding to virtual pins in the sketch, ensuring smooth communication between the hardware and the app. This IoT-based Air Quality Monitoring System serves as a valuable tool for individuals and communities concerned about indoor or outdoor air quality. The system's features, including real-time data visualization, remote monitoring capabilities, and an alert system, contribute to creating a more informed and healthier living environment.
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Ermolaev, V. V., A. I. Chetverikova, J. Voroncova, and D. K. Nasonova. "Empirical Validity of the Method, “Red Spades”: A Rapid Measurement of the Level of Concentration and Switching of Attention in a Smartphone Apps." Bulletin of the State University of Education. Series: Psychology, no. 3 (December 12, 2023): 123–32. https://doi.org/10.18384/2949-5105-2023-3-123-132.
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Aim. Verification of the empirical validity of the method of rapid measurement of the level of concentration and attention switching for the smartphone "Red peaks" in the context of a preventive approach to responding to the risks of the human factor.Methodology. The validation procedure was a sequential presentation of three methods: 1) a standardized blank method of the Landolt working capacity diagnostic; 2) technique Black and red table F.D. Gorbov – E. Schulte; 3) "Red Spades" methodology developed by us.Results. The Red Peaks method has the necessary indicators of empirical validity. Reliable connections at the level of p≤0.01 were revealed between the indicators of the "Red Spades " technique and the indicators of the methods of the Black-red Table of F.D. Gorbov – E. Schulte and diagnostics of Landolt's operability.Research implications. Has been confirmed the validity of the technique, which has practically great potential for its use among workers of dangerous professions and industries.
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Conci, M., and H. J. Muller. "The "beam of darkness": Spreading of the attentional blink within and between objects." Attention, Perception & Psychophysics 71, no. 8 (2009): 1725–38. http://dx.doi.org/10.3758/app.71.8.1725.
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