A Theme of Smart Cities Based on IOT, Fuzzy Logic and Quantum-Deep Learning Technique

Abstract

In the near future the human civilization would converge to urban places. Hence, tomorrows' cities would be highly dense. Thus in the future, it would be great challenges to provide efficient services to citizens. In this context, this manuscript has proposed an efficient architecture of different applications of smart cities using the Internet of Things (IoT), Fuzzy Logic. Moreover, an efficient architecture based on service-oriented architecture(SOA) has been proposed here. Furthermore, an integrated intelligent smart city services framework has been proposed here which can forecast different activities based on the Quantum Deep Learning concept. Simulated results have been shown to lay bare the effectiveness of the proposed approach.

Aplikasi Kontrol Kualitas Air dan Pakan Untuk Peningkatan Produktivitas Budidaya Betta Fish

“…Kajian mengenai sistem ini telah diterapkan pada beberapa penelitian yang berkaitan dengan monitoring dan kontrol kualitas air. Abinaya et al [15] peneliti menggunakan sensor LM35 untuk mengukur suhu pada akuaponik dengan kisaran suhu pengoperasian -550 sampai 1500 C, dan water level untuk mengukur ketinggian air tangkit dengan jarak 40mm x 60mm. Jadhav et al [16] mengusulkan sistem pakan otomatis yang terkoneksi dengan Blynk menggunakan jaringan WiFi sensor ultrasonic HCSR04 digunakan untuk menghitung jarak pakan dan LM35 untuk mengukur suhu dalam tangki.…”