scholarly journals Machine Learning and IoT-Based Waste Management Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Rijwan Khan ◽  
Santosh Kumar ◽  
Akhilesh Kumar Srivastava ◽  
Niharika Dhingra ◽  
Mahima Gupta ◽  
...  
Keyword(s):  
Machine Learning ◽  
Waste Management ◽  
Health Issues ◽  
Rapid Rise ◽  
Waste Collection ◽  
Moisture Sensor ◽  
Efficient Management ◽  
Waste Index ◽  
Collection Practices ◽  
The Internet Of Things

A rapid rise in inhabitants across the globe has led to the inadmissible management of waste in various countries, giving rise to various health issues and environmental pollution. The waste-collecting trucks collect waste just once or twice in seven days. Due to improper waste collection practices, the waste in the dustbin is spread on the streets. Thus, to defeat this situation, an efficient solution for smart and effective waste management using machine learning (ML) and the Internet of Things (IoT) is proposed in this paper. In the proposed solution, the authors have used an Arduino UNO microcontroller, ultrasonic sensor, and moisture sensor. Using image processing, one can measure the waste index of a particular dumping ground. A hardware prototype is also developed for the proposed framework. Thus, the presented solution for the efficient management of waste accomplishes the aim of establishing clean and pollution-free cities.

scholarly journals City with Smart Waste Management: Introducing Waste Bin Technologies

2021 ◽  
Vol 34 (02) ◽  
pp. 1032-1038
Author(s):  
Arya Majidi
Keyword(s):  
Internet Of Things ◽  
Adverse Effects ◽  
Waste Management ◽  
Smart Cities ◽  
Human Life ◽  
The Other ◽  
The Internet ◽  
Waste Collection ◽  
Waste Production ◽  
The Internet Of Things

Population growth and urbanization have led to an increase in the rate of waste production, the lack of timely and proper management of which will have adverse effects on human life and the environment. Since most of the waste management costs are spent on waste collection and transportation, it is necessary to find solutions to control the huge costs of this sector. On the other hand, today, intelligent technologies are used globally as solutions to meet challenges in various fields such as agriculture to improve agro-industrial production, transportation, and waste management, which creates a concept called smart cities. One of the categories that has changed the concept of cities and made them have easier and smarter answers to various events and needs is the "Internet of Things", in which many cases and infrastructures with new hardware technologies and Software are integrated. Waste collection is no exception to this rule and efforts have been made to make it smarter. In this research, some of the latest innovations presented globally in order to make trash smarter have been examined.

scholarly journals INFO FROM THE WORLD

Detritus ◽  
2018 ◽  
pp. 201-202
Author(s):  
Managing editor: Elena Cristina Rada
Keyword(s):  
Public Health ◽  
Waste Management ◽  
Environmental Degradation ◽  
Urban Population ◽  
Informal Settlements ◽  
Health Issues ◽  
Waste Collection ◽  
The Poor ◽  
The World ◽  
The City

Waste management raises concerns on environmental degradation and public health issues in the city of Nairobi, Kenya where a big share of the urban population still suffers from lack of adequate waste collection services. Governmental and international efforts have focused on implementing waste operations in middle- and high-income areas that fall short of providing informal settlements with equally efficient facilities (Figure 1). This results in increased rates of urban inequalities as well as places waste issues in the broader framework of environmental injustice and marginalization of the poor. In response to the current gaps, the emergence of spon. 

scholarly journals Assessment of Waste Generation Rate in Teaching Hospitals of Metropolitan City of Pakistan

2020 ◽  
Vol 6 (9) ◽  
pp. 1809-1821
Author(s):  
Samita Arub ◽  
Sajid Rashid Ahmad ◽  
Sana Ashraf ◽  
Zahra Majid ◽  
Sadia Rahat ◽  
...  
Keyword(s):  
Waste Management ◽  
Hospital Staff ◽  
Generation Rate ◽  
Teaching Hospitals ◽  
Waste Generation ◽  
Waste Collection ◽  
Waste Segregation ◽  
Infectious Waste ◽  
Waste Generation Rate ◽  
Collection Practices

Hospital waste management is of vital significance owing to its contagious and hazardous nature as it can produce detrimental effects for both humans and the environment. This work aimed to examine types of waste with respect to waste generation rate in multiple teaching hospitals of metropolitan Lahore. A structured questionnaire survey, site visits, interviews and meetings were conducted in seventeen teaching hospitals. The results have shown that total hospitals average waste, infectious, non-infectious and waste generation rate in Lahore teaching hospitals were 38978 kg/day, 10789 kg/day, 28189 kg/day and 3.7 kg/bed/day, respectively. It is concluded that maximum waste generated in Mayo hospital, Jinnah hospital, Services hospital and Lahore general hospital was 16%, 12%, 12% and 10%, respectively, as per maximum patient’s visits. Positive liner correlation was between number of beds (P=0.917), number of accidents and emergency patients (P=0.75), infectious waste (P=0.998) and (P=1) with total waste. A straight line of linear regression was between (0.9966) infectious waste and (0.9995) general waste with average waste. Although, waste collection practices in these teaching hospitals were observed satisfactory but required training of doctors, nurses and hospital paramedical staff regarding infectious and general waste segregation. It is suggested that hospital staff, waste management and waste collection workers and respective waste management companies should be well trained and aware regarding infectious and non-infectious waste segregation, handling and disposing off procedures.

scholarly journals Design and development of intelligent waste bin system with advertisement solution

2021 ◽  
Vol 10 (2) ◽  
pp. 940-949
Author(s):  
Tarig Faisal ◽  
Moath Awawdeh ◽  
Anees Bashir
Keyword(s):  
Waste Management ◽  
Geographical Area ◽  
Collection Management ◽  
Waste Collection ◽  
Lack Of Information ◽  
Novel Approach ◽  
Business Opportunities ◽  
Large Geographical Area ◽  
The City ◽  
The Internet Of Things

In cities where a large geographical area of the city is densely populated, the process of waste collection is cumbersome, tiresome and expensive. Often, the burden of manually tracking and collecting of waste causes waste management companies enormous wasted effort and get them involved in tasks that are not necessary. No doubt, a digital interaction between waste management companies and targeted waste collection areas could ensure the process becomes fast, efficient and traceable as they become aware of the states of the wastes, aptly. It will considerably reduce any discrepancies that may occur due to the lack of information available during a particular time. Accordingly, this paper proposes a novel approach towards waste management combined with the internet of things to reduce the problems that would occur due to the accumulation of wastes and hence improvise waste collection/management process. Additionally, an innovative feature which generates revenue and creates business opportunities for waste management companies is introduced via advertisement solution based on network-attached storage technology.

scholarly journals Smart Waste Management and Predicting Bins with High Waste Index

2020 ◽  
Vol 9 (7) ◽  
pp. 482-485
Keyword(s):  
Machine Learning ◽  
Waste Management ◽  
Waste Disposal ◽  
Exponential Growth ◽  
Human Population ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Healthy Environment ◽  
The World ◽  
Waste Index

An exponential growth in the human population poses a major challenge to the method of waste management and thus to the preservation of a healthy environment. Many communities around the world are at risk owing to poor waste disposal. Our initiative seeks to find a solution by using a GSM compatible Smart Dustbin. This uses an ultrasonic sensor to avoid garbage leakage from the dustbin and a gas sensor to identify bad odour and ensure timely disposal of the dustbin's unhygienic material. Therefore, our initiative seeks to prevent overflowing waste from the dustbin and thus to discontinue the unhygienic situation from existing next to it. Also, to develop immediate response to take care of the pollution of the environment and help them with their needs and also predict the dustbin fill age using machine learning algorithm.

I-Bin: Weight Based IoT Smart Recycling Scheduler for Guarded Neighbourhood

2020 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Dinesh Ramasamy ◽  
Siva Priya Thiagarajah ◽  
Shamini Pillay
Keyword(s):  
Waste Management ◽  
The Internet ◽  
Proof Of Concept ◽  
Waste Collection ◽  
Residential Areas ◽  
Scheduling System ◽  
Load Cells ◽  
Linearity Test ◽  
The Internet Of Things ◽  
Repeatability Test

Overpopulation and lack of awareness are the main causes of poor waste management. While existing research in waste management employs current technology such as the Internet of Things, it lacks emphasis on residential centric type of waste management system. This project designs a weight based scheduling system for a guarded neighbourhood using Arduino Uno, load cells and plastic bins which are then incorporated with WiFi to send waste weight information in real time to cloud for monitoring.Design verification tests such as the linearity test and non-repeatability test showed less than 1 percent standard deviation error. A Proof of Concept test was conducted to test the system's performance at a guarded residential area.Analysis of test showed that an average of 0.0966kg of recyclable waste was collected per house. Based on theresults also, it is predicted that approximately 483kg of waste can be effectively collected from 10 residential areas using the I-Bin system. Residents tend to dispose waste after office hours and scheduling more waste collection frequency after office hours will lead to increased revenue for the recycling company.

scholarly journals Municipal Waste Collection and Management in Smart Cities : A Survey

2020 ◽  
pp. 77-82
Author(s):  
Vijaya Guru Kamakshi. K ◽  
Shwetha. C. N. T ◽  
Swathi. G ◽  
Madhumathi. R
Keyword(s):  
Waste Management ◽  
Smart Cities ◽  
Route Optimization ◽  
Management Model ◽  
Waste Collection ◽  
Sustainable Environment ◽  
The Government ◽  
Reliable Solution ◽  
Collection And Management ◽  
The Internet Of Things

In recent years, due to the increase in population, there are various challenges that are arising in this entire world. Waste management is one among those problems which has to be addressed immediately for a healthy and sustainable environment. It is not only an issue faced by the government but also by every individual since improper management of waste causes environmental pollution and health problems. It is necessary for the development of a smart and reliable solution to overcome this situation. The Internet of Things(IoT) along with Cloud computing could pave a way for developing a Smart Waste Management model. An analysis of existing waste management solutions is done in this paper. The aim of this paper is to discuss various factors involved in smart waste management and to describe an IoT based smart bin model along with route optimization . Finally, the advantages in implementing the proposed method and few ideas of how to improve the system in future is discussed.

Strategic waste management planning – the organization of municipal solid waste collection in Oulu, Finland*

2015 ◽  
Vol 10 (2) ◽  
pp. 145-156 ◽  
Author(s):  
Sari Piippo ◽  
Paula Saavalainen ◽  
Juhani Kaakinen ◽  
Eva Pongrácz
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Management Planning

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Pendayagunaan Sampah Menjadi Produk Kerajinan

2017 ◽  
Vol 17 (1) ◽  
pp. 83
Author(s):  
Nur Fatoni ◽  
Rinaldy Imanuddin ◽  
Ahmad Ridho Darmawan
Keyword(s):  
Waste Management ◽  
Raw Materials ◽  
Economic Value ◽  
Waste Materials ◽  
Waste Collection ◽  
Garbage Disposal ◽  
Waste Separation ◽  
And Training

Waste management is still defined as limited to collection, transportation and garbage disposal. The follow-up of the meaning is the provision of facilities such as garbage bins, garbage trucks and waste collection land. Waste management has not included waste separation. Segregation of waste can minimize the amount of waste that must be discharged to the final place. Segregation of waste can supply recyclable raw materials and handicrafts made from garbage. The manufacture of handicraft products from garbage is still local and requires socialization and training. It is needed to increase the number of craftsmen and garbage absorption on the crafters. Through careful socialization and training, citizens' awareness of waste management becomes advanced by making handicrafts of economic value from waste materials.

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