scholarly journals Smart Electronic Bin Using IoT

2021 ◽  
Vol 10 (3) ◽  
pp. 2178-2182
Keyword(s):  
Waste Management ◽  
Conceptual Model ◽  
Real Time ◽  
Garbage Collection ◽  
Resource Efficiency ◽  
Ultrasonic Sensor ◽  
Iot Platform ◽  
Plastic Wastes

The amount of garbage that humans generate is rapidly increasing, and it will be impossible to control without radical adjustments. Such increases will have a significant impact on waste management firms, since they would be required to supply resources for garbage collection with little or no money. The goal of this project is to create a smart real-time waste controller system using the conceptual model of a smart electronic bin, which can be built by maximizing resource efficiency and optimizing the resources. This smart garbage bin prototype can automatically open the lid when it recognizes persons who wish to dispose of their trash. Even if people wish to dispose of their trash, if the waste bin is full, the lid will not open. It can also segregate plastic and non-plastic wastes. This smart bin is equipped with additional components such as GPS and GSM, for showing the location and to send alert messages. It can also detect the amount of trash in the garbage bin. The percentage-level of waste inside the bin is determined using an ultrasonic sensor. This data is delivered to a cloud-based monitoring and analytics IoT platform

scholarly journals Internet of things (IoT) based smart garbage monitoring system

2020 ◽  
Vol 20 (2) ◽  
pp. 736
Author(s):  
Thangavel Bhuvaneswari ◽  
J. Hossen ◽  
NurAsyiqinbt. Amir Hamzah ◽  
P. Velrajkumar ◽  
Oo Hong Jack
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Garbage Collection ◽  
Ultrasonic Sensor ◽  
Load Cell ◽  
The Internet ◽  
Iot Platform ◽  
Human Effort ◽  
Arduino Microcontroller ◽  
Collection And Management

<p>Garbage waste monitoring, collection and management is one of the primary concerns of the present era due to its detrimental effects on environment. The traditional way of manually monitoring and collecting the garbage is a cumbersome process as it requires considerable human effort and time leading to higher cost. In this paper, an IoT based garbage monitoring system using Thingspeak, an open IoT platform is presented. The system consists of an Arduino microcontroller, an ultrasonic sensor, a load cell and a Wi-Fi module. The Arduino microcontroller receives data from the ultrasonic sensor and load cell. The depth of the garbage in the bin is measured using ultrasonic sensor and the weight of the bin with garbage is measured from the load cell. The LCD screen is used to display the data. The Wi-Fi module transmits the above data to the internet. An open IoT platform Thingspeak is used to monitor the garbage system. With this system, the administrator can monitor and schedule garbage collection more efficiently. A prototype has been developed and tested. It has been found to work satisfactorily. The details are presented in this paper.</p>

Parallel real-time garbage collection of multiple heaps in reconfigurable hardware

2015 ◽  
Vol 49 (11) ◽  
pp. 117-127 ◽  
Author(s):  
David F. Bacon ◽  
Perry Cheng ◽  
Sunil Shukla
Keyword(s):  
Real Time ◽  
Garbage Collection ◽  
Reconfigurable Hardware

scholarly journals Design and Implementation of a Security Improvement Framework of Zigbee Network for Intelligent Monitoring in IoT Platform

2018 ◽  
Vol 8 (11) ◽  
pp. 2305 ◽  
Author(s):  
S Rana ◽  
Miah Halim ◽  
M. Kabir
Keyword(s):  
Real Time ◽  
Security System ◽  
Human Interaction ◽  
Main Concern ◽  
Security Threats ◽  
Security Attacks ◽  
Intelligent Monitoring ◽  
Iot Platform ◽  
Zigbee Network ◽  
System Administrator

Internet of Things (IoT) opens new horizons by enabling automated procedures without human interaction using IP connectivity. IoT deals with devices, called things, represented as any items from our daily life that are enhanced with computing or communication facilities. Among various mobile communications, Zigbee communication is broadly used in controlling or monitoring applications due to its low data rate and low power consumption. Securing IoT systems has been the main concern for the research community. In this paper, different security threats of Zigbee networks in the IoT platform have been addressed to predict the potential security threats of Zigbee protocol and a Security Improvement Framework (SIF) has been designed for intelligent monitoring in an office/corporate environment. Our proposed SIF can predict and protect against various potential malicious attacks in the Zigbee network and respond accordingly through a notification to the system administrator. This framework (SIF) is designed to make automated decisions immediately based on real-time data which are defined by the system administrator. Finally, the designed SIF has been implemented in an office security system as a case study for real-time monitoring. This office security system is evaluated based on the capacity of detecting potential security attacks. The evaluation results show that the proposed SIF is capable of detecting and protecting against several potential security attacks efficiently, enabling a more secure way of intelligent monitoring in the IoT platform.

scholarly journals A New Conceptual Model for Adiabatic Fog

2021 ◽  
Author(s):  
Felipe Toledo ◽  
Martial Haeffelin ◽  
Eivind Wærsted ◽  
Jean-Charles Dupont
Keyword(s):  
Life Cycle ◽  
Conceptual Model ◽  
Real Time ◽  
Liquid Water ◽  
Critical Value ◽  
Liquid Water Path ◽  
Horizontal Visibility ◽  
Fog Water ◽  
Water Path ◽  
The Way

Abstract. We propose a new paradigm to describe the temporal evolution of continental fog layers. This paradigm defines fog as a layer saturated from the surface to a known upper boundary, and whose liquid water path (LWP) exceeds a critical value, the critical liquid water path (CLWP). When the LWP is less than the CLWP the fog water cannot extend all the way to the surface, leading to a surface horizontal visibility greater than 1 km. On the opposite, when the LWP is larger than the CLWP, the fog water extends all the way to the surface, inducing a horizontal visibility less than 1 km. The excess water with respect to the critical value is then defined as the reservoir liquid water path (RLWP). The new fog paradigm is formulated as a conceptual model that relates the liquid water path of adiabatic fog with its thickness and surface liquid water content, and allows the critical and reservoir liquid water paths to be computed. Both variables can be tracked in real time using vertical profiling measurements, enabling a real time diagnostic of fog status. The conceptual model is tested using data from seven years of measurements performed at the SIRTA observatory, combining cloud radar, microwave radiometer, ceilometer, scatterometer and weather station measurements. In this time period we found 80 fog events with reliable measurements, with 56 of these lasting more than three hours. The paper presents the conceptual model and its capability to derive the LWP from the fog CTH and surface horizontal visibility with an RMS uncertainty of 10.5 g m−2. The impact of fog liquid water path and fog top height variations on fog life cycle (formation to dissipation) is presented based on four case studies, and statistics derived from 56 fog events. Our results show in particular that the reservoir liquid water path is consistently positive during the mature phase of the fog and that it starts to decrease quasi monotonously about one hour before dissipation, reaching a near-zero value at the time of dissipation. The reservoir liquid water path and its time derivative could hence be used as an indicator for life cycle stage and support short range forecasting of fog dissipation.

scholarly journals Collection of Garbage using Internet of Things

2019 ◽  
Vol 8 (6) ◽  
pp. 3481-3483
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Threshold Level ◽  
Pond Water ◽  
Conveyor Belt ◽  
Human Intervention ◽  
Practical Application ◽  
Electric Oven ◽  
Plastic Wastes ◽  
Opening And Closing

Due to rise in population, the waste disposed by human has become enormous. This paper deals with a real time practical application of designing and building a prototype for an automatic opening and closing of dustbin on the detection of the human intervention who wish to throw out their trash. In this system the level of garbage in the bin can be known by the use of sensors. Each dustbin has a unique ID. If the garbage in the bin reaches the threshold level, the garbage collectors are given information based on which they can collect the garbage. In case the dustbins reach threshold level, user will not be able to access the bin. In order to avoid the decaying smell around the bin the harmless chemical sprinklers are used. Further, the garbage is segregated into bio degradable and non-biodegradable wet and dry waste using a conveyor belt. Internally electric oven burns the dry waste and the ashes are used for certain applications such as in cleaning the pond and in preventing the growth of algae in the pond water. The wet wastes are made to decompose and it acts as a fertilizer to the fields. The plastic wastes collected are used in building plastic tar roads

scholarly journals Smart Dust Bin for Waste Management

2020 ◽  
Vol 4 (5) ◽  
pp. 1-4
Author(s):  
Nyamatulla M Patel ◽  
Balesh Nander ◽  
Sankalp Patil
Keyword(s):  
Waste Management ◽  
Ultrasonic Sensor ◽  
Network Environment ◽  
Waste Production ◽  
Smart Dust ◽  
The City

In recent decades Urbanization is increased tremendously. At the same phase there is an increase in waste production. These days managing the waste has become very important issue to be considered for keeping the city clean. The system is built on Arduino board which is connected with GSM modem and Ultrasonic sensor for waste management. The smart waste bin can be used to keep the city clean. The system is built such that it can measure the weight and amount waste in bin, also adapt with network environment, to manage all information from waste management to the municipality so that we can keep the city clean.

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