Relevant bibliographies by topics / Node-RED

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Node-RED'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Node-RED"

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Lu, Chine-Yu, Fei-Hsu Chen, Wen-Chiung Hsu, Yu-Qiang Yang, and Te-Jen Su. "Constructing Home Monitoring System with Node-RED." Sensors and Materials 32, no. 5 (May 10, 2020): 1701. http://dx.doi.org/10.18494/sam.2020.2686.

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KANEKO, Tomohiro, Ikumi ASADA, Koichiro KATO, Yoshiaki SESHIME, Nobuto MATSUHIRA, and Kouta SUZUKI. "Navigation using Node-RED and robot middleware." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 2P1—G06. http://dx.doi.org/10.1299/jsmermd.2020.2p1-g06.

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Holenderski, Mike, Reinder J. Bril, and Johan J. Lukkien. "Red-black trees with relative node keys." Information Processing Letters 114, no. 11 (November 2014): 591–96. http://dx.doi.org/10.1016/j.ipl.2014.06.004.

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ABADI, SAROSA CASTRENA, NUR WISMA NUGRAHA, and SITI AMINAH. "Implementasi Wireless Sensor Network pada Sistem Manajemen Gedung Menggunakan Protokol Komunikasi Modbus TCP." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 10, no. 3 (July 19, 2022): 514. http://dx.doi.org/10.26760/elkomika.v10i3.514.

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ABSTRAKWireless Sensor Network merupakan suatu solusi potensial dalam sistem manajemen gedung agar pengelolaan sumber daya gedung menjadi lebih efektif. Penelitian ini membahas mengenai implementasi wsn pada sistem manajemen gedung dengan menerapkan metode komunikasi Modbus TCP. Sistem terdiri dari monitoring volume sampah, pengendalian kunci pintu, tombol emergency dan sistem pengawasan video dengan memanfaatkan dashboard Node-RED dan Platform IoT Ubidots. Hasil pengujian menunjukkan bahwa sistem berfungsi sesuai program yang dibuat dengan nilai rata-rata error pembacaan sensor 2,52%, maksimal jarak antara Node sensor dengan Node sink yaitu 20 meter. Tingkat keberhasilan sistem kontrol kunci pintu melalui dashboard Node-RED dan Ubidots sebesar 100 % dengan masing-masing rata-rata delay sebesar 225ms dan 489 ms kemudian nilai rata-rata delay pengiriman pesan notifikasi whatsapp sebesar 2504 ms.Kata kunci: WSN, Building, Modbus TCP, Raspberry Pi, Node-RED ABSTRACTWireless Sensor Network is a potential solution in building management systems so that building resource management becomes more effective. This study discusses the implementation of wsn on building management systems by applying the MODBUS TCP communication method. The system consists of garbage volume monitoring, door lock control, emergency buttons and a video surveillance system utilizing the Node-RED dashboard and Ubidots IoT Platform. The test results showed that the system functioned according to the program created with an average sensor reading error value of 2.52%, the maximum distance between the sensor Node and node sink is 20 meters. The success rate of the door lock control system through the Node-RED and Ubidots dashboards is 100% with an average delay of 225ms and 489 ms respectively and the average delay of whatsapp notification message delivery is 2504 ms.Keywords: WSN, Building, Modbus TCP, Raspberry Pi, Node-RED
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Tabaa, Mohamed, Brahim Chouri, Safa Saadaoui, and Karim Alami. "Industrial Communication based on Modbus and Node-RED." Procedia Computer Science 130 (2018): 583–88. http://dx.doi.org/10.1016/j.procs.2018.04.107.

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Sicari, Sabrina, Alessandra Rizzardi, and Alberto Coen-Porisini. "Smart transport and logistics: A Node-RED implementation." Internet Technology Letters 2, no. 2 (January 8, 2019): e88. http://dx.doi.org/10.1002/itl2.88.

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Hwang, D. H., S. H. Bak, U. Enkhjargal, M. J. Jeong, H. J. Yoon, and W. C. Seo. "ANALYSIS OF THE RED TIDE OCCURRENCE PATTERN WHEN HIGH WATER TEMPERATURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 267–69. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-267-2019.

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Abstract. In 1982, the red tide caused by Cochlodimium polykrikodies occurred at first in Jinhae Bay in Korea. Since then, it causes serious fisheries damage every year. In 2018, red tide occurred when high water temperature. We analyzed red tide occurrence pattern when high water temperature. Red tide occurrence date, occurrence area caused by the Cochlodinium polykrikoides were used provided by National Institute of Fisheries Science. SST data were used the GHRSST Level 4 OSTIA data provided by NOAA. The red tide occurred July 14 to September 2 in 2013, July 29 to October 4 in 2014, August 5 to September 23 in 2015, and July 23 to August 8 in 2018 in Korea. The nearest SST data from the red tide occurrence area were extracted. When red tide occurred, SST was 22~28 °C in 2013, 23~25 °C in 2014, 21~27 °C in 2015, 26~28 °C in 2018. SST in 2013 was increasing trend and 2015 was downward trend. SST in 2018 occurred at high water temperatures above 25 °C. The spatial pattern by using the self-organizing map (3x3 map), node 4 was the highest frequency (16.9%). It is considered that it appears at the beginning and end of red tide occurrence. Node 1 was 16.3% frequency, it showed at the end of 2014 and 2015. SST of node 1 and 4 maintained 22~23 °C on the southern sea of Korea. Node 9 was 13.9%, which is the late 2013 and 2018. Node 9 showed high temperature pattern of more than 26 °C in the southern sea of Korea.
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Ehimwenma, Kennedy E., Junfeng Wang, Ze Zheng, and Hongyu Zhou. "A symbolic-arithmetic for teaching double-black node removal in red-black trees." Educational Dimension 59 (December 11, 2022): 112–29. http://dx.doi.org/10.31812/educdim.7629.

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A red-black (RB) tree is a data structure with red and black nodes coloration. The red and black color of nodes make up the principal component for balancing a RB tree. A balanced tree has an equal number of black nodes on any simple path. But when a black leaf node is deleted, a double-black (DB) node is formed, thus, causing a reduction in black heights and the tree becomes unbalanced. Rebalancing a RB tree with a DB node is a fairly complex process. Teaching and learning the removal of DB nodes is also challenging. This paper introduces a simplified novel method which is a symbolic-algebraic arithmetic procedure for the removal of DB nodes and the rebalancing of black heights in RB trees. This simplified approach has enhanced student learning of the DB node removal in RB trees. Feedback from students showed the learnability, workability and acceptance of the symbolic-algebraic method in balancing RB trees after a delete operation.
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Deepthi, B. Kavya, Venkata Ratnam Kolluru, George Tom Varghese, Rajendraparasad Narne, and Dr Srimannarayana N. "IoT based Smart Environment Using Node-Red and MQTT." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (May 30, 2020): 21–26. http://dx.doi.org/10.5373/jardcs/v12i5/20201684.

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Fiaidhi, Jinan, Sabah Mohammed, and Sami Mohammed. "An Overview of Healthcare Interoperability through NODE-RED Workflows." International Journal of IT-based Public Health Management 7, no. 1 (March 30, 2020): 23–30. http://dx.doi.org/10.21742/ijiphm.2020.7.1.04.

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Dissertations / Theses on the topic "Node-RED"

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Olsson, Joel, and Junior Asante. "Using Node-Red to Connect Patient, Staff and Medical Equipment." Thesis, Linköpings universitet, Institutionen för systemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129781.

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The emergency departments in Region Östergötland use pen and paper to a large extent when recording emergency care procedures and measurements. During treatment the patient should be the main focus. Because of this, recording of measurements done could be delayed or in worst case forgotten during stressful situations. The proposal of this project is the development of a prototype that tries to make the administrative work a passive procedure rather than an active one. The system developed uses a Raspberry Pi, along with Node-Red, which connects predefined patient data and medical records, with the clinical staff tending the patient. All these connections are initiated by mainly using RFID technology. The conclusion made with the developed system is that it should unload the staff with the recording of data and that it helps make a data logging a more passive work than today’s used methods. Along with a process that is easier to operate, the time spent on administrative work could be reduced with the proposed system.
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Губчук, Андрій Євгенійович. "Система збору інформації електричної підстанції 35/10 кВ на основі технології Node-RED." Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/39671.

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Магістерська дисертація містить 81 сторінку, 33 таблиці, 19 рисунків, 18 джерел літератури та 7 технічних плакатів А1. Основна частина магістерської дисертації складається з вступу, трьох основних розділів, стартап-проекту, розділу охорони праці та висновків. Актуальність теми – розширення інструментарію та функціоналу для підключення до пристроїв релейного захисту та підключення до засобів збереження інформації. Об’єкт дослідження – підстанція «Артемівська» 35/10 кВ. Предмет дослідження – збір режимної інформації з підстанції «Артемівська» 35/10 на основі технології Node-RED. Мета дослідження – розробка програмного забезпечення на основі технології Node-RED для встановлення зв’язку з пристроями релейного захисту і автоматики на прикладі пристрою релейного захисту ABB-REF615 для зчитування вимірювань. Практичне застосування результатів магістерської дисертації – побудований програмний механізм системи збору та передачі даних може бути застосований в будь-якій енергосистемі для підключення до пристроїв релейного захисту. Апробація результатів дослідження – розробка системи оприлюднена на науково-технічній конференції «Сучасні проблеми електроенерготехніки та автоматики». Публікації – «Збір інформації з пристроїв релейного захисту за допомогою Node-RED» в Міжнародному науково-технічному журналі «Сучасні проблеми електроенерготехніки та автоматики».
The master's dissertation contains 81 pages, 33 tables, 19 figures, 18 sources of literature and 7 technical posters A1. The main part of the master's dissertation consists of an introduction, three main sections, a startup project, a section on labor protection and conclusions. The relevance of the topic is the expansion of tools and functionality for connection to relay protection devices and connection to storage media. The object of research is the 35/10 kV Artemivska substation. The subject of the research is the collection of regime information from the Artemivska 35/10 substation on the basis of Node-RED technology. The aim of the research is to develop software based on Node-RED technology for communication with relay protection devices and automation on the example of the ABB-REF615 relay protection device for reading measurements. Practical application of the results of the master's dissertation - the built-in software mechanism of the data collection and transmission system can be used in any power system for connection to relay protection devices. Approbation of the research results - the development of the system was announced at the scientific and technical conference "Modern problems of electrical engineering and automation". Publications - "Collection of information on relay protection devices using Node-RED" in the International scientific and technical journal "Modern problems of electrical engineering and automation".
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Leijonberg, Carl. "The Viability of Using Trusted Execution Environments to Protect Data in Node-RED : A study on using AMD-SEV and Intel SGX to protect sensitive data when Node-RED is deployed on the cloud." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295763.

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The Internet of Things (IoT) consists of a network of physical devices that are connected over the internet for the purpose of exchanging data with other devices and systems. IoT platforms, such as Node-RED, have been introduced in recent times to facilitate communication between different IoT devices. Hosting Node-RED on a cloud service provider might result in the confidentiality of sensitive data on Node-RED being violated by malicious attackers, since users are forced to entrust their sensitive data with the cloud service providers. Using trusted execution environments, such as AMD-SEV and Intel SGX, can mitigate several potential attacks from exposing sensitive information in Node-RED. This thesis investigates if AMD-SEV and Intel SGX are viable options to protect sensitive data in Node-RED when hosted on a cloud service provider. The work in this thesis investigates difficulties encountered when deploying Node-RED on AMD-SEV and Intel SGX, from a usability perspective. Usability is measured by running Node-RED in AMDSEV and Intel SGX, and then recording the complexity of the process. Several performance tests are conducted to measure the performance overhead of Node-RED caused by AMD-SEV. A literature review is also conducted to investigate potential vulnerabilities in AMD-SEV and Intel SGX that could undermine the security of user’s data in Node-RED. The results from this thesis finds that AMD-SEV is a viable option to protect sensitive data in Node-RED when hosted on a cloud service provider. Deploying Node-RED on AMD-SEV is found to be a relatively simple process from a usability perspective. There are some noticeable performance overhead with regards to CPU utilization and TCP throughput, but all other metrics show marginal performance overhead. The potential vulnerabilities in AMD-SEV are not found to be significant enough to make AMD-SEV unviable. The thesis finds Intel SGX to be an unviable solution primarily due to usability. The process of running Node-RED in an Intel SGX enclave is extremely complex and the results show that for most users of Node-RED, this is not viable. The security vulnerabilities found from the literature review, are not significant enough to make Intel SGX an unviable option to protect sensitive user data inNode-RED.
Internet of Things (IoT) är en nätverk av fysiska enheter som är sammankopplade via internet för att kunna skicka data till andra fysiska enheter eller system. IoTplattformar, som Node-RED, har utvecklats för att förenkla kommunikationen mellan olika IoT- enheter. Att köra Node-RED på en molntjänst kan leda till att sekretessen av känslig data på Node-RED blir kränkt av en attack mot molntjänsten. Det är på grund av att användarna av Node-RED är tvungna att tillförlita deras känsliga data till molntjänsten, som deras data kan bli kränkt. Detta problem kan förminskas genom att användarna utnyttjar trusted execution environments som AMD-SEV och Intel SGX för att skydda sin känsliga data på molntjänsten. I denna avhandling, undersöks det om AMDSEV och Intel SGX kan användas för att skydda data i Node-RED när den körs på en molntjänst. Användarvänligheten av att köra Node-RED med AMD-SEV och Intel SGX undersöks genom att uppskatta hur komplicerad denna process är. Flera tester genomförs också för att mäta vilken påverkan AMD-SEV har på prestandan av Node-RED. En litteraturöversikt genomförs också för att undersöka potentiella sårbarheter i AMD-SEV och Intel SGX som skulle kunna utnyttjas för att komma åt känslig data i Node-RED. Resultaten från avhandlingen visar att AMD-SEV kan vara användbart för att skydda känslig data i Node-RED när den körs på en molntjänst. AMDSEV är väldigt användarvänlig när Node-RED ska köras. AMD-SEV har en märkbar påverkan på prestandan av processorn och TCP- genomströmning, men för de andra faktorerna som mäts har AMD-SEV ingen större påverkan. Litteraturöversikten finner inga sårbarheter som är tillräckligt farliga för att göra AMD-SEV oanvändbar för att skydda känslig data iNode-RED. Resultaten från avhandlingen visar dock att Intel SGX inte är särskilt användbar för att skydda känslig data i Node-RED när den körs på en molntjänst. Detta är främst för att det är väldigt komplicerat att köra Node-RED i en Intel SGX enklav från en användarvänlighet synpunkt. De flesta av Node-REDs användare skulle finna det för komplicerat att använda Intel SGX för att skydda sin känsliga data. Litteraturöversikten finner inga sårbarheter allvarliga nog för att göra Intel SGX oanvändbar.
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Lwanga, Evans Leonidace. "Feasibility-Study and Developing of a LoRaWAN® IoT Sensor Node." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The increasing implementation of IoT technologies guarantees a growing number of connected devices. These devices range in features depending on their respective applications. Because of the growing interest and rapid technological advancement of sensor technology, the designing, and deployment of wireless sensor networks has also seen a substantial expansion. This thesis focuses on developing a sensor-node for a LoRaWAN network, which is one of the dominant low-power wide-area network technologies. It does so by taking into account an existing end-device and based on its design and essential performing features, a new design is proposed and implemented. It comprehensively discusses power consumption, size, hardware and firmware development and on how all the mentioned contribute to the overall significance of the end-device. Ultimately, the proposed design is tested by establishing a complete LoRaWAN network to observe and evaluate the performance upon actual deployment.
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Papadakis, Alexander, and Emil Falge. "Sensorbaserad riskbedömning av belastningsbesvär." Thesis, KTH, Data- och elektroteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209011.

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Belastningsskador är idag ett allt större problem i samhället som leder till flera sociala och ekonomiska problem. Tillsammans med en ökande ålder på befolkningen kan belastningsbesvär skapa ännu mer utmaningar i framtiden. Att utöka kunskapen om ergonomi är ett bra sätt att minska risken för att drabbas av belastningsskador. Idag används primärt en visuell bedömning av ergonomi, men varje bedömning är individuella och inte konsistenta. Tillgängligheten av små och billiga Inertial Measurement Unit (IMU) har ökat möjligheten att mäta objektivt istället för subjektivt. I detta exjobb har Texas Instruments SensorTag CC2650 använts som sensor, då den är billig och har många inbyggda sensorer där den 9-axliga rörelsesensorn var den eftersökta. En webbaserad utvecklingsmiljö kallad Node-RED användes för utveckling av en prototyp och sensorn kopplades till en smarttelefon tillsammans med Texas Instruments egna applikation. Data från sensorn skickades från smarttelefonen till webbapplikationen. Mätningar utfördes på en arm för att mäta belastningen på en axel, när handens position passerade axelns höjd finns det risk för belastningsskador efter en längre tid. För att beräkna vinkel av armen användes accelerometer samt gyroskop tillsammans med ett komplementärt filter. Prototypen testades i flera tester, där ena testet undersökte en högre risk t.ex. rita på en tavla samt lägre risk t.ex. papperssortering. Det visade sig att sensorn är kapabel att utföra bedömningar av belastningsriskerna. Men det finns kända begränsningar i form av låg samplingshastighet på 5 Hz (begränsningar i Texas Instruments applikation). Nästa steg för vidare arbete är att lägga till en magnetometer till prototypens sensor fusion och undersöka dess tillförlitlighet.
Musculoskeletal disorders (MSD) is a rising problem in society leading to several socio-economic problems. In combination of the trend of an aging population, MSD can cause even more challenges in the future. Expanding the knowledge of ergonomics is a good way to reduce the risk of stress injury. Today, a visual assessment of ergonomics is primarily used. These observations are individual and not consistent. Availability of cheaper and smaller Inertial Measurement Unit (IMU) has increased the possibility of using objective measurements instead of subjective observations. In this thesis work, the Texas Instruments SensorTag CC2650 was used as a sensor, because it is cheap and has many built-in sensors where the 9-axis motion sensor was the most sought one. A web-based development environment called Node-RED was used to develop a prototype and the sensor was connected to a smartphone along with Texas Instruments own application. The data from the sensor was sent from the smartphone to the web application. Measurements were performed on an arm to measure the load on a shoulder, when the hand's position passed the height of the shoulder it indicates that there is a risk of musculoskeletal disorders after an amount of time. To calculate the angle of the arm, sensor fusion of an accelerometer and a gyroscope were used together with a complementary filter. Developed system was evaluated by series of tasks exposing the shoulder to a higher risk e.g., painting compare to lower risk tasks e.g., paper sorting. It turned out that measurement are useful for assessment of the risk. However, there are known limitations like low sampling rate of 5Hz (due to limitation in the android app from Texas Instruments). Adding magnetometer to the sensor fusion and evaluation of reliability of calculations are the next natural steps for future work.
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Charalampidis, Vasileios. "Real-Time Monitoring System of Sedentary Behavior with Android Wear and Cloud Computing : An office case study." Thesis, KTH, Skolan för teknik och hälsa (STH), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210017.

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Nowadays, prolonged sitting among office workers is a widespread problem, which is highly related to several health problems. Many proposals have been reported and evaluated to address this issue. However, motivating and engaging workers to change health behavior to a healthier working life is still a challenge. In this project, a specific application has been deployed for real-time monitoring and alerting office workers for prolonged sitting. The proposed system consists of three distinct parts: The first one is an android smartwatch, which was used to collect sensor data e.g., accelerometer and gyro data, with a custom android wear app. The second one is an android application, which was developed to act as a gateway for receiving the smartwatch’s data and sending them to IBM Bluemix cloud with MQTT protocol. The final part is a Node-Red cloud application, which was deployed for storing, analyzing and processing of the sensor data for activity detection i.e., sitting or walking/standing. The main purpose of the last one was to return relevant feedback to the user, while combining elements from gaming contexts (gamification methods), for motivating and engaging office workers to a healthier behavior. The system was firstly tested for defining appropriate accelerometer thresholds to five participants (control group), and then evaluated with five different participants (treatment group), in order to analyze its reliability for prolonged sitting detection. The results showed a good precession for the detection. No confusing between sitting and walking/standing was noticed. Communication, storage and analysis of the data was successfully done, while the push notifications to the participants, for alerting or rewarding them, were always accurate and delivered on time. Every useful information was presented to the user to a web-based dashboard accessed through a smartphone, tablet or a PC.     The proposed system can easily be implemented at a real-life scenario with office workers. Certainly, there is a lot space for improvement, considering mostly the type of data registered at the system, the method for sitting detection, and the user interface for presenting relevant information.
Numera är förlängt sittande bland kontorsarbetare ett utbrett problem som är väldigt relaterat till flera hälsoproblem. Många förslag har rapporterats och utvärderas för att ta itu med denna fråga. Tydligen är det fortfarande en utmaning att motivera och engagera arbetstagare för att förändra deras hälsobeteende till hälsosammare arbetsliv. I detta projekt har en särskild applikation använts för realtidsövervakning och varnar kontorsarbetare för förlängt sittande. Det föreslagna systemet består av tre olika delar: Den första är en android smartwatch, som användes för att samla sensordata t.ex. accelerometer och gyrodata, med en anpassad android wear app. Den andra är en en androidapplikation som fungerade som en gateway för att ta emot smartwatchens data och skickar datan till IBM Bluemix-Cloud med MQTT-protokollet. Den sista delen är en Node-RED Cloud-Applikation som användes för lagring, analysering och behandling av sensordata för aktivitetsdetektering. Detta innebär sittande eller gå/stående med det huvudsakliga ändamålet att returnera relevant återkoppling till användaren, samtidigt som man kombinerar element från spelkontekster (gamification metoder), för att motivera och engagera arbetarna till ett hälsosammare beteende. Systemet testades först för att definiera lämpliga accelerometertrösklar till fem deltagare (kontroll grupp) och utvärderades sedan med fem olika deltagare (behandingsgrupp) för att analysera dess tillförlitlighet för långvarig sittdetektering. Resultaten visade en bra precession för detektionen. Ingen förvirring mellan att sitta och gå / stående märktes. Kommunikation, lagring och analys av data gjordes framgångsrikt, medan push-meddelandena till deltagarna, för att varna eller belöna dem, var alltid korrekta och levererade i tid. All användbar information presenterades för användaren på en webbaserad dashboard som nås via en smartphone surfplatta eller en dator. Det föreslagna systemet kan enkelt implementeras i ett verkligt scenario med kontorsarbetare. Visst finns det mycket utrymme för förbättring om man tänker på majoriteten av data som registrerats i systemet, metoden för sittande detektion och användargränssnittet för presentering av relevant information.
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Цимбалюк, Ігор Олександрович. "Кіберфізична система розумної теплиці для автоматизації поливу рослин." Бакалаврська робота, Хмельницький національний університет, 2021. http://elar.khnu.km.ua/jspui/handle/123456789/10351.

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Kubů, Jiří. "Elektronický zabezpečovací systém s prvky IoT." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376986.

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The diploma thesis deals with the implementation of own design of an electronic security system with the possibility of extension with the elements of home automation. The control panel is built using the Raspberry Pi3 B+ with a touch screen that communicates with the sensors using Bluetooth Low Energy technology.
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Турчин, Святослав Іванович, and Sviatoslav Turchin. "Розробка та дослідження автоматизованої системи охорони приміщення з функцією віддаленого управління та моніторингу." Master's thesis, Тернопільський національний технічний університет ім. І. Пулюя, Факультет прикладних інформаційних технологій та електроінженерії, Кафедра автоматизації технологічних процесів і виробництв, 2021. http://elartu.tntu.edu.ua/handle/lib/36714.

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Робота виконана на кафедрі автоматизації технологічних процесів і виробництв факультету прикладних інформаційних технологій та електроінженерії Тернопільського національного технічного університету імені Івана Пулюя Міністерства освіти і науки України. Захист відбудеться «23» грудня 2021р. о 9.00год. на засіданні екзаменаційної комісії №22 у Тернопільському національному технічному університеті імені Івана Пулюя.
Мета кваліфікаційної роботи – розробка та дослідження системи охорони приміщення на основі мікрокомп’ютера Raspberry Pi використовуючи протокол бездротової передачі даних Zigbee з функцією віддаленого управління та моніторингу. Розроблена система не має недоліків проаналізованих актуальних систем охорони приміщень. В роботі досліджено дальність сигналу протоколу Zigbee, проведено розрахунок шумів та втрати для лінії. Розроблено та програмно реалізовано алгоритм роботи системи охорони за допомогою мови програмування JavaScript та середовища потокового програмування Node-RED. Розроблена панелі візуалізації системних даних та даних, отриманих від давачів на основі платформи Grafana. Розроблена система розрахована для житлових та офісних приміщень та не підходить для виробничих приміщень, лабораторій, а також установ з пожежонебезпечними та вибухонебезпечними речовинами.
The purpose of the qualification work is to develop and research a security system based on the Raspberry Pi microcomputer using the Zigbee wireless data transmission protocol with remote control and monitoring. The developed system does not have the defects of the analyzed current security systems. The signal range of the Zigbee protocol is investigated, noise and loss for the line are calculated. An algorithm for the operation of the security system using the JavaScript programming language and the Node-RED streaming programming environment has been developed and implemented. Developed panels for visualization of system data and data received from sensors based on the Grafana platform. The developed system is designed for residential and office rooms and is not suitable for industrial rooms, laboratories, as well as institutions with flammable and explosive substances.
Анотація 4 ЗМІСТ 5 ВСТУП 7 1. АНАЛІТИЧНА ЧАСТИНА 9 1.1 Аналіз та класифікація охоронних систем 9 1.2 Аналіз актуальних систем охорони приміщення 12 1.3 Актуальність виконання роботи 17 1.4 Методи вирішення поставленої задачі 18 1.5 Висновки та постановка задач на кваліфікаційну роботу 19 2. ТЕХНОЛОГІЧНА ЧАСТИНА 20 2.1 Дротові технології передачі даних 20 2.2 Бездротові технології передачі даних 24 3. НАУКОВО-ДОСЛІДНА ЧАСТИНА 29 3.1 Розрахунок дальності передачі сигналу протоколу 29 3.2 Розрахунок шумів 35 3.3 Розрахунок втрат у лінії 37 3.4 Розрахунок тривалості роботи системи від джерела безперебійного живлення 39 4. КОНСТРУКТОРСЬКА ЧАСТИНА 40 4.1 Вибір технічного забезпечення 40 4.2 Вибір програмного забезпечення 51 4.3 Аналіз об’єкта охорони 62 4.4 Проектування архітектури програмного забезпечення 66 5. СПЕЦІАЛЬНА ЧАСТИНА 68 5.1 Розробка алгоритму роботи системи охорони 68 5.2 Налаштування мікрокомп’ютера 69 5.3 Налаштування віддаленого сервера 83 5.4 Програмна реалізація алгоритму роботи системи охорони приміщення 89 5.5 Розробка панелі візуалізації системи охорони приміщення 105 6. ОХОРОНА ПРАЦІ ТА БЕЗПЕКА В НАДЗВИЧАЙНИХ СИТУАЦІЯХ 109 6.1 Охорона праці 109 6.2 Правила безпеки при експлуатації обладнання, що проектується 110 6.3 Розрахунок природнього освітлення для проектованої дільниці. 113 6.4 Основні заходи захисту населення і територій 115 6.5 Евакуаційні заходи 117 6.6 Розрахунок евакуаційних шляхів із виробничих приміщень (дільниці) цеху що проектується 119 6.7 Інженерний захист 125 ВИСНОВКИ 128 СПИСОК ВИКОРИСТАНОЇ ЛІТЕРАТУРИ 129 ДОДАТКИ 130
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Hartmann, Jiří. "Správa a automatizace systému vytápění podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445516.

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The aim of this work is to create a unified control and supervision system, SCADA, for controlling the heating and cooling of the company. The system is controlled by UniPi PLC units. Node-RED is used as control software. The user interface is created by an extension "dashboard". For communication between elements using the MQTT protocol. The InfluxDB database is used for data storage. The Grafana tool is used to visualize historical data. The majority of the created system consists of open software. The system is universal, expandable and it is possible to connect it with another system. The system can be used or adapted to similar problems of advanced heating control.
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Books on the topic "Node-RED"

1

Brandes, Udo. Node-RED: Das umfassende Handbuch. Rheinwerk Verlag GmbH, 2021.

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Schwartz, Marian, and Aleksandr Isaevich Solzhenit͡s︡yn. March 1917: The Red Wheel, Node III, Book 2. University of Notre Dame Press, 2022.

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Solzhenit͡s︡yn, Aleksandr Isaevich. March 1917: The Red Wheel, Node III, Book 3. University of Notre Dame Press, 2021.

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Solzhenit͡s︡yn, Aleksandr Isaevich. March 1917: The Red Wheel, Node III, Book 2. University of Notre Dame Press, 2019.

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Schwartz, Marian, and Aleksandr Isaevich Solzhenit͡s︡yn. March 1917: The Red Wheel, Node III, Book 1. University of Notre Dame Press, 2020.

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Solzhenit͡s︡yn, Aleksandr Isaevich. March 1917: The Red Wheel, Node III, Book 1. University of Notre Dame Press, 2017.

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Stanford-Clark, Andy, and Lucy Rogers. Wiring the IoT: Connecting Hardware with Raspberry Pi, Node-Red, and MQTT. O'Reilly Media, Incorporated, 2017.

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Hagino, Taiji, and Nick O'Leary. Practical Node-RED Programming: Learn Powerful Visual Programming Techniques and Best Practices for the Web and IoT. Packt Publishing, Limited, 2021.

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Japón, Bernardo Ronquillo. Learn IoT Programming Using Node-RED: Begin to Code Full Stack IoT Apps and Edge Devices with Raspberry Pi, NodeJS, and Grafana. BPB Publications, 2022.

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Book chapters on the topic "Node-RED"

1

Javed, Adeel. "Complex Flows: Node-RED." In Building Arduino Projects for the Internet of Things, 51–73. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1940-9_4.

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Ahmadpanah, Mohammad M., Musard Balliu, Daniel Hedin, Lars Eric Olsson, and Andrei Sabelfeld. "Securing Node-RED Applications." In Protocols, Strands, and Logic, 1–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91631-2_1.

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Kanagachidambaresan, G. R. "Home Electrification and Node-RED." In Internet of Things Using Single Board Computers, 201–8. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8108-6_6.

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Bhatter, Siddharth, Sayantan Sinha, and Renu Sharma. "Design of Chatbots Using Node-RED." In Lecture Notes in Networks and Systems, 81–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8218-9_7.

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Anderson, Ethan, S. M. Abrar Jahin, Niloy Talukder, Yul Chu, and John J. Lee. "A Node-RED-Based MIPS-32 Processor Simulator." In Advances in Data Computing, Communication and Security, 695–705. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8403-6_64.

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Durón, Juan Carlos, Sebastián Gutiérrez, Manuel Cardona, and Vijender Kumar Solanki. "Street Lamp Monitoring Using IoT Based on Node-Red." In Research in Intelligent and Computing in Engineering, 215–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7527-3_21.

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Talikoti, Basavaraj, Ruchira Patole, Amit Pradhan, Allen Thomas, Evin Poulose, and Shubham Mane. "Automatic Gate System with Autofocus Camera Using Node-RED." In Lecture Notes in Mechanical Engineering, 661–69. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1124-0_57.

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Bröring, Arne, Victor Charpenay, Darko Anicic, and Sebastien Püech. "NOVA: A Knowledge Base for the Node-RED IoT Ecosystem." In The Semantic Web: ESWC 2019 Satellite Events, 257–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32327-1_45.

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Day, Steven, William “Kohler” Smallwood, and Joshua Kuhn. "Simulating Industrial Control Systems Using Node-RED and Unreal Engine 4." In National Cyber Summit (NCS) Research Track 2021, 13–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84614-5_2.

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Ghosh, Arpita. "IBM Watson Assistant and Node-RED-Based Movie Ticketing Bot Design." In Algorithms for Intelligent Systems, 307–16. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2109-3_30.

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Conference papers on the topic "Node-RED"

1

Lekic, Milica, and Gordana Gardasevic. "IoT sensor integration to Node-RED platform." In 2018 17th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2018. http://dx.doi.org/10.1109/infoteh.2018.8345544.

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Kodali, Ravi Kishore, and Arshiya Anjum. "IoT Based HOME AUTOMATION Using Node-RED." In 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE, 2018. http://dx.doi.org/10.1109/icgciot.2018.8753085.

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Chanthakit, Somphop, and Choopan Rattanapoka. "MQTT Based Air Quality Monitoring System using Node MCU and Node-RED." In 2018 Seventh ICT International Student Project Conference (ICT-ISPC). IEEE, 2018. http://dx.doi.org/10.1109/ict-ispc.2018.8523891.

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Rajalakshmi, Anoja, and Hamid Shahnasser. "Internet of Things using Node-Red and alexa." In 2017 17th International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2017. http://dx.doi.org/10.1109/iscit.2017.8261194.

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Ramsey, Jason, Brian Vattiat, Niv Drory, John Good, Gary Hill, Briana L. Indhal, and Hanshin Lee. "A Node-Red dashboard for the VIRUS2 spectrograph array." In Software and Cyberinfrastructure for Astronomy VI, edited by Juan C. Guzman and Jorge Ibsen. SPIE, 2020. http://dx.doi.org/10.1117/12.2563119.

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Krishnamurthi, Rajalakshmi. "Teaching Methodology for IoT Workshop Course Using Node-RED." In 2018 Eleventh International Conference on Contemporary Computing (IC3). IEEE, 2018. http://dx.doi.org/10.1109/ic3.2018.8530664.

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Garbev, Atanas. "Possibilities for Visual Programming in Robotics via Node-RED." In 2022 International Conference Automatics and Informatics (ICAI). IEEE, 2022. http://dx.doi.org/10.1109/icai55857.2022.9960113.

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Kopjak, Jozsef, and Gergely Sebestyen. "Event-driven Fuzzy Inference System Implementation in Node-RED." In 2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2019. http://dx.doi.org/10.1109/sisy47553.2019.9111512.

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Macheso, Paul, Tiwonge D. Manda, Sylvester Chisale, Nelson Dzupire, Justice Mlatho, and Didacienne Mukanyiligira. "Design of ESP8266 Smart Home Using MQTT and Node-RED." In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). IEEE, 2021. http://dx.doi.org/10.1109/icais50930.2021.9396027.

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Badii, Claudio, Pierfrancesco Bellini, Daniele Cenni, Nicola Mitolo, Paolo Nesi, Gianni Pantaleo, and Mirco Soderi. "Industry 4.0 Synoptics Controlled by IoT Applications in Node-RED." In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE, 2020. http://dx.doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00028.

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