scholarly journals Do It Yourself solution of Internet of Things Healthcare System: Measuring body parameters and environmental parameters affecting health

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Mirjana Maksimović ◽  
Vladimir Vujović ◽  
Branko Perišić
Keyword(s):  
Internet Of Things ◽  
Healthcare System ◽  
Environmental Parameters ◽  
Do It Yourself ◽  
Body Parameters

scholarly journals Internet of Things (IoT) Based Design of a Secure and Lightweight Body Area Network (BAN) Healthcare System

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2919 ◽  
Author(s):  
Yong-Yuan Deng ◽  
Chin-Ling Chen ◽  
Woei-Jiunn Tsaur ◽  
Yung-Wen Tang ◽  
Jung-Hsuan Chen
Keyword(s):  
Internet Of Things ◽  
Healthcare System ◽  
Body Area Network ◽  
Area Network ◽  
Body Area

scholarly journals Model Sistem Monitoring pH dan Kekeruhan pada Akuarium Air Tawar berbasis Internet of Things

METANA ◽  
2019 ◽  
Vol 15 (2) ◽  
pp. 49-56
Author(s):  
Dista Yoel Tadeus ◽  
Khasnan Azazi ◽  
Didik Ariwibowo
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Aquatic Vegetation ◽  
Ph Value ◽  
Low Cost ◽  
Environmental Parameters ◽  
Ornamental Fish ◽  
Automation System ◽  
Water Turbidity ◽  
Air Filter

Ikan hias dan vegetasi air memiliki rentang toleransi terhadap nilai parameter lingkungan. Parameter tersebut hendaknya senantiasa diawasi demi kelangsungan hidupnya. Internet of Things (IoT) telah dimanfaatkan sebagai sistem monitoring dan otomasi parameter lingkungan ikan dan vegetasi air namun sistem ini membutuhkan biaya yang tinggi. Tujuan penelitian ini adalah mengembangkan suatu model sistem monitoring berbasis IoT berbiaya rendah untuk memberikan informasi parameter pH dan kekeruhan air setiap saat kepada pemilik ikan hias. Sistem ini dibangun menggunakan komponen opensource dan sensor berbiaya rendah. Data monitoring digunakan untuk mengaktifkan aktuator berupa filter air. Filter akan aktif apabila tingkat kekeruhan air sudah melebihi batas kekeruhan yang ditentukan. Pengujian kekeruhan air aquarium menunjukkan saat kekeruhan mencapai 3000 ntu pukul 14.12 pompa aktif dan filter bekerja sampai kekeruhan berada pada nilai 498 ntu pada pukul 17.00 dan pompa mati secara otomatis. Nilai pH dan kekeruhan air berhasil ditampilkan dengan baik di aplikasi Blynk pada ponsel. Hasil pengujian menyimpulkan bahwa sistem monitoring yang dikembangkan telah berhasil diimplementasikan dengan baik.  Ornamental fish and aquatic vegetation have a tolerance range of environmental parameter values. These parameters should always be monitored for survival. Internet of Things (IoT) has been utilized as a monitoring and automation system for environmental parameters of fish and aquatic vegetation, but this system requires high costs. The purpose of this study is to develop a low-cost IoT-based monitoring system model to provide information on pH parameters and water turbidity at any time to ornamental fish owners. This system is built using opensource components and low-cost sensors. Monitoring data is used to activate the actuator in the form of a water filter. The filter will active if the turbidity level of water has exceeded the specified turbidity limit. The aquarium water turbidity test showed that when the turbidity reached 3000 ntu at 14.12 the pump was active and the filter worked until the turbidity was at 498 ntu at 17.00 and the pump automatically shut down. The pH value and the turbidity of the water were successfully displayed in the Blynk application on the cellphone. The test results concluded that the monitoring system developed was successfully implemented. 

scholarly journals Sistem Pemantauan dan Pendeteksi Kebakaran berbasis Logika Fuzzy dan Real-time Database

2021 ◽  
Vol 9 (3) ◽  
pp. 577
Author(s):  
EVA AISAH HW ◽  
ROHMAT TULLOH ◽  
SUGONDO HADIYOSO ◽  
DADAN NUR RAMADAN
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Real Time ◽  
Human Error ◽  
Detection System ◽  
Environmental Parameters ◽  
Fire Detection ◽  
Smoke Detector ◽  
Web Interface ◽  
Average Transmission

ABSTRAKKebakaran rumah seringkali disebabkan oleh kelalaian manusia. Oleh karena itu diperlukan sebuah sistem yang dapat mendeteksi kebakaran secara online realtime. Pada studi ini, dirancang dan diimplementasikan sebuah sistem pendeteksi kebakaran dengan sejumlah sensor untuk mengukur beberapa parameter lingkungan. Sistem ini dilengkapi dengan pengambil keputusan menggunakan metode fuzzy logic. Parameter lingkungan yang diukur mencakup suhu ruangan, asap dan api yang kemudian dapat dimonitor secara real-time melalui web interface menggunakan Internet of Things platform. Pengujian menunjukkan bahwa detektor dapat mendeteksi api dengan jarak hingga 100 cm dengan akurasi mencapai 100%. Pengujian sensor suhu menunjukkan akurasi 98.79%, sementara itu detektor asap memperoleh akurasi 77.81%. Sistem ini mampu mengirimkan data dengan rata-rata delay transmisi 0.62 detik. Sistem usulan ini diharapkan dapat menyediakan pemantauan kondisi suatu ruangan secara real-time.Kata kunci: Kebakaran, Real-Time, Deteksi, Fuzzy, Internet Of Things ABSTRACTHouse fires are often caused by human error. Therefore, we need a system that can detect fires online real-time. In this study, a fire detection system with a number of sensors is designed and implemented to measure several environmental parameters. This system is equipped with a decision maker using the fuzzy logic method. The environmental parameters measured include room temperature, smoke and fire which can then be monitored in real time via a web interface using the Internet of Things platform. Tests show that the detector can detect fires with a distance of up to 100 cm with an accuracy of up to 100%. The temperature sensor test shows an accuracy of 98.79%, while the smoke detector generates an accuracy of 77.81%. This system is capable of sending data with an average transmission delay of 0.62 seconds. This proposed system is expected to provide realtime monitoring of the condition of a room.Keywords: Fire, Real-time, detection, Fuzzy, internet of things

scholarly journals INTERNET OF THINGS: PERSPECTIVES OF ADAPTIVE SYSTEMS

Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 55-66
Author(s):  
M. Efimov ◽  
R. Kirichek
Keyword(s):  
Internet Of Things ◽  
Adaptive Learning ◽  
Adaptive Systems ◽  
Complex Analysis ◽  
Environmental Parameters ◽  
The Internet ◽  
Research Subject ◽  
Scientific Approach ◽  
The Internet Of Things ◽  
User Intervention

Research subject. Adaptive systems in the concept of the Internet of things. Objective. To analyze and present the capabilities of adaptive systems in relation to the eco-system of the Internet of things. Method. In addition to the scientific approach, graph (network) and algebraic methods are used in the work, as well as methods of complex analysis. Core results. The use of adaptive systems will make it possible to predict the values of environmental parameters and perform a series of actions without user intervention. As a result of this adjustment, the system becomes adaptive, learning and adapting to changes in the environment, or to the modes of the commands given. Practical relevance. The article presents an analysis of systems and provides examples of the use of adaptive systems.

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