e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers 2021

Aug 2021 - Volume 12, Issue 4
Deadline: 15 Jul 2021
Publication: 20 Aug 2021

Oct 2021 - Volume 12, Issue 5
Deadline: 15 Sep 2021
Publication: 25 Oct 2021

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ABSTRACT

Title : A FIREFLY OPTIMIZED LSTM RISK DETECTION & PREDICTION MODEL FOR IOT ENABLED SUPER MARKET
Authors : RR Karthikeyan, Dr. B. Raghu
Keywords : LSTM Prediction; IoT Enabled Supermarket; HVAC and refrigeration systems.
Issue Date : Nov-Dec 2020
Abstract :
The worldwide network has to a great extent perceived that the Earth's atmosphere is evolved a lot in the last few decades. In particular, the Climatic Action attempts to both reduction of European Union (EU) ozone harming substance outflows and enhance the efficiency by decreasing the consumption of essential energy. In Retail shops and commercial buildings are liable to consistently monitor and control for the Heating, Ventilation, and Air Conditioning (HVAC) and refrigeration systems. As per the monstrous Internet Of thigh's (IoT) collection of data, there are unnecessary utilization of energy may happen because of manual activity in the Retail shops and commercial buildings. Recent decades, smart supermarkets are implemented by tuning HVAC systems and the refrigeration system automatically for the purpose of improving the satisfaction of customers and also optimizing energy consumption. To achieve an agenda, in this paper, it plans to build up a technique for (1) investigating the sensor model depending on the detected data; (2) constructing a forecasting model for a working status of systems, and proposing a Firefly based optimized Long Short-Term Memory Network (FOLSTM) model for the advance forecasting of data; (3) improving the forecast precision utilizing FOLSTM with the comparison of conventional methods. This FOLSTM technique with real-time collected data from the sensors of an HVAC and the refrigeration framework where the information is appropriate to general IoT hardware for investigating the accuracy and the determining prediction status.
Page(s) : 851-858
ISSN : 0976-5166
Source : Vol. 11, No.6
PDF : Download
DOI : 10.21817/indjcse/2020/v11i6/201106216