Internet of Things in Retail Using Fuzzy Logic for Customer Loyalty

2019 ◽  
Author(s):  
Sarvesh Sharma ◽  
Laxmi Ahuja ◽  
Subhranil Som ◽  
Sunil Kumar Khatri
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Customer Loyalty

scholarly journals IoT Heating Solution for Smart Home with Fuzzy Control

2020 ◽  
Vol 26 (6) ◽  
pp. 747-761
Author(s):  
Łukasz Apiecionek ◽  
Jacek Czerniak ◽  
Dawid Ewald ◽  
Mateusz Biedziak
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Fuzzy Control ◽  
Smart Home ◽  
Control Method ◽  
Computer Systems ◽  
The Internet ◽  
Climate Chamber

There is currently an era of Internet of Things in the computer systems, which consists in connecting all possible devices to the Internet in order to provide them with new functionalities and thus { to improve the user's life standard. One of such solutions could be Smart Home. The possibility of monitoring inner environment is required for such solutions. Such monitoring provides potential for e.g. better heating control. The authors of this paper propose some heating control method with Fuzzy Logic. The proposed method was tested in a special climate chamber. The authors provided conclusions at the end of the paper.

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 Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5500
Author(s):  
Abdul Rehman ◽  
Muhammad Ahmed Qureshi ◽  
Tariq Ali ◽  
Muhammad Irfan ◽  
Saima Abdullah ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Fire Detection ◽  
Monitoring Systems ◽  
Sensor Systems ◽  
Fire Alarm ◽  
Fuzzy Logic Algorithm ◽  
Fire Monitoring ◽  
Rule Set ◽  
Single Sensor

Fire monitoring systems have usually been based on a single sensor such as smoke or flame. These single sensor systems have been unable to distinguish between true and false presence of fire, such as a smoke from a cigarette which might cause the fire alarm to go off. Consuming energy all day long and being dependent on one sensor that might end with false alert is not efficient and environmentally friendly. We need a system that is efficient not only in sensing fire accurately, but we also need a solution which is smart. In order to improve upon the results of existing single sensor systems, our system uses a combination of three sensors to increase the efficiency. The result from the sensor is then analyzed by a specified rule-set using an AI-based fuzzy logic algorithm; defined in the purposed research, our system detects the presence of fire. Our system is designed to make smart decisions based on the situation; it provides feature updated alerts and hardware controls such as enabling a mechanism to start ventilation if the fire is causing suffocation, and also providing water support to minimize the damage. The purposed system keeps updating the management about the current severity of the environment by continually sensing any change in the environment during fire. The purposed system proved to provide accurate results in the entire 15 test performed around different intensities of a fire situation. The simulation work for the SMDD is done using MATLAB and the result of the experiments is satisfactory.

scholarly journals IMPLEMENTASI METODE FUZZY LOGIC UNTUK SISTEM PENGUKURAN KUALITAS UDARA DI KOTA MEDAN BERBASIS INTERNET OF THINGS (IOT)

JURTEKSI ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 141-148
Author(s):  
Jaka Prayudha ◽  
Ardianto Pranata ◽  
Afdal Al Hafiz
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things

Kualitas udara mengambil peran penting bagi kehidupan mahkluk hidup di permukaan bumi ini terutama untuk manusia, pada masa ini penurunan kualitas udara di beberapa kota di wilayah Indonesia terus meningkatkan diakibatkan beberapa hal diantaranya pertumbuhan industri dan perkembangan kendaraan bermotor yang semakin pesat sebanding dengan pertumbungan penduduk yang makin meningkat dan tidak sebanding dengan pertumbungan ruang terbuka hijau dan pelestarian kawasan hijau khususnya pada wilayah perkotaan. Sistem pemrosesan dari hasil akuisisi yang didapatkan dari penggunaan beberapa kombinasi sensor (multisensor) yaitu sensor yang dapat mendeteksi gas buang kendaraan bermotor, partikel debu, asap dari hasil industri, dan kadar oksigen dalam udara. Hasil dari proses akuisisi data sensor kemudian akan diproses dengan kecerdasan buatan fuzzy yang ditanamkan pada sebuah chip mikrokontroler. Sistem pengukur kualitas udara berbasis Internet of Things (IoT) ini akan dapat digunakan sebagai media penyebar luasan informasi terkait kualitas udara pada suatu wilayah, sehingga akan memberikan penurunan dampak kesehatan bagi masyarakat yang akan melakukan aktivitas diluar rumah.

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