scholarly journals Artificial Intelligence and Machine Learning in Waste Management and Recycling

2020 ◽  
Vol 8 (1) ◽  
pp. 43-52
Author(s):  
Alim Al Ayub Ahmed ◽  
ABM Asadullah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Waste Management ◽  
Waste Disposal ◽  
Management System ◽  
Open Space ◽  
Construction Material ◽  
Human Communication ◽  
Public Places ◽  
Waste Management System

Waste management is one of the biggest problems facing the world in any developed or developing country. An important aspect of waste management is that the waste bin in the open space is properly filled before the next cleaning process begins. This can eventually lead to various hazards such as dirt and bad odor in the area, which can lead to the spread of various diseases. Population growth has significantly reduced toilets through the waste management system. Laying garbage in public places creates a polluted environment. To eliminate or reduce waste and maintain good hygiene, it requires a waste-based waste management system. The need for proper waste management is not limited to proper collection and disposal of waste. It continues to be a waste disposal and recyclable level. Recycling is considered a major benefit because in addition to waste disposal, our reliance on immature materials is declining. By recycling metal, plastic and glass, the use of decomposing waste can extend beyond compost and manure. Metals can be reused and plastic can be mixed with clay filler, which can lead to soil compaction. After deep cleaning the glass construction material can be broken down and re-melted into new articles. This article is about machine learning and the use of artificial intelligence in the most viable areas and understanding the full need for human communication.

scholarly journals Household Waste Management System Using IoT and Machine Learning

2020 ◽  
Vol 167 ◽  
pp. 1950-1959 ◽  
Author(s):  
Sonali Dubey ◽  
Pushpa Singh ◽  
Piyush Yadav ◽  
Krishna Kant Singh
Keyword(s):  
Machine Learning ◽  
Waste Management ◽  
Management System ◽  
Household Waste ◽  
Waste Management System ◽  
Household Waste Management

scholarly journals The principles of a new tariff policy for the waste management system in Kaliningrad Oblast

2007 ◽  
pp. 845-849
Author(s):  
Alexander Ivanov
Keyword(s):  
Waste Management ◽  
Waste Disposal ◽  
Management System ◽  
Regional Level ◽  
Policy Reforms ◽  
Tariff Policy ◽  
Waste Management System ◽  
Kaliningrad Oblast ◽  
Waste Management Concept ◽  
Setting Approach

The organization of the new waste management system in Kaliningrad Oblast calls forrevision of the current tariff setting approach in regional waste managementFirstly, tariff policy reforms are needed in connection with redistribution of functions betweenthe actors within the waste management sector. A decision for separation of waste collectionand waste disposal functions has been adopted at the regional level, with the waste collectionfunctions to be retained by municipalities, and the waste disposal functions. According to theadopted regional waste management concept, an organization is responsible for wastetransportation and disposal at the regional level.

scholarly journals Smart Dustbin Management System Using Renesas

2021 ◽  
Vol 9 (8) ◽  
pp. 1183-1185
Author(s):  
Mr. Venkateshwar A
Keyword(s):  
Waste Management ◽  
Management System ◽  
Force Sensor ◽  
The State ◽  
Sensor System ◽  
Waste Collection ◽  
Control Room ◽  
Public Places ◽  
Waste Management System ◽  
Android App

Abstract: With the increase in population, the state of sanitation is declining. The abundance of garbage in public places creates a climate of impurity. It can cause several serious illnesses in the immediate vicinity. It also reduces the area rating. To avoid this and to improve sanitation, a 'smart waste management system' is proposed for this project. In the proposed system, the level of debris in dust bins is detected with the help of a Sensor, and transferred to a control room authorized by the GSM system. Microcontroller is used to communicate with the sensor system and the GSM / GPRS system. The Amazon application is built to monitor the information you want related to the waste of various selected sites. This will help to manage your waste collection more efficiently. Keywords: Smart Dustbin, Renesas, Force Sensor, IR Sensor, GSM, Android App.

scholarly journals Smart Garbage Collection and Dumping System using NI my RIO and Arduino

2019 ◽  
Vol 9 (2) ◽  
pp. 2934-2939
Keyword(s):  
Waste Management ◽  
Management System ◽  
Garbage Collection ◽  
Automated System ◽  
Time Intervals ◽  
Public Places ◽  
Waste Management System ◽  
Healthy Environment ◽  
Labview Software ◽  
Regular Time

The key issue in waste management system to ensure healthy environment is Garbage Collection and Dumping In traditional method, at public places garbage bins are placed to collect the garbage, which is usually collected by the garbage collection truck with the help of employed personnel and will be sent to the dumping yard to dump the collected garbage. These bins overflowed frequently before the routine maintenance takes place, which leads to bad order and unhygienic environment causing various life-costing diseases. As this problem is increasing day-by-day, an automated system for effective waste management system is desired which can collect garbage timely without human involvement is proposed and is implemented using NI myRIO, Arduino UNO and NI LabVIEW software. The proposed system consists of two main sub systems- Big Bin and small bin. Big bin moves in a regular predefined path marked as black line in regular time intervals to collect garbage from Small Bins placed in different locations. The proposed system is capable to automate the entire garbage collection and dumping process to ensure healthy environment.

scholarly journals Waste Management System Fraud Detection Using Machine Learning Algorithms to Minimize Penalties Avoidance and Redemption Abuse

Recycling ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 65
Author(s):  
Ali Hewiagh ◽  
Kannan Ramakrishnan ◽  
Timothy Tzen Vun Yap ◽  
Ching Seong Tan
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Waste Management ◽  
Management System ◽  
Learning Algorithms ◽  
Fraud Detection ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Data Set ◽  
Waste Management System

Online frauds have pernicious impacts on different system domains, including waste management systems. Fraudsters illegally obtain rewards for their recycling activities or avoid penalties for those who are required to recycle their own waste. Although some approaches have been introduced to prevent such fraudulent activities, the fraudsters continuously seek new ways to commit illegal actions. Machine learning technology has shown significant and impressive results in identifying new online fraud patterns in different system domains such as e-commerce, insurance, and banking. The purpose of this paper, therefore, is to analyze a waste management system and develop a machine learning model to detect fraud in the system. The intended system allows consumers, individuals, and organizations to track, monitor, and update their performance in their recycling activities. The data set provided by a waste management organization is used for the analysis and the model training. This data set contains transactions of users’ recycling activities and behaviors. Three machine learning algorithms, random forest, support vector machine, and multi-layer perceptron are used in the experiments and the best detection model is selected based on the model’s performance. Results show that each of these algorithms can be used for fraud detection in waste managements with high accuracy. The random forest algorithm produces the optimal model with an accuracy of 96.33%, F1-score of 95.20%, and ROC of 98.92%.

scholarly journals Biomedical Waste Management: A Review

2012 ◽  
Vol 6 (3) ◽  
pp. 141-144
Author(s):  
M Manjunatha ◽  
VC Sunil Kumar ◽  
Badami Vijetha ◽  
P.R. Pradeep
Keyword(s):  
Infectious Diseases ◽  
Waste Management ◽  
Waste Disposal ◽  
Management System ◽  
Complex Problem ◽  
Hospital Planning ◽  
Biomedical Waste ◽  
Waste Management System ◽  
International Agencies ◽  
Treatment And Disposal

ABSTRACT Various national and international agencies have shown their concern towards proper handling, treatment and disposal of biomedical waste, as they may cause serious infectious diseases like hepatitis, tuberculosis and HIV/AIDS. Most of the hospitals do not have effective disposal system leading to complex problem of hygiene and sanitation in hospitals. The use of disposable items has reduced the rate of infection but at the same time has increased the volume of the waste which needs to be disposed properly. Effective waste disposal can be achieved only by considering the various components of the waste management system and this should be made an integral part of hospital planning and designing.

scholarly journals Wpływ regulacji prawnych na gospodarkę odpadami komunalnymi w wybranych gminach wiejskich

2017 ◽  
pp. 83-95
Author(s):  
Agnieszka Sobolewska ◽  
Mariusz Sobolewski
Keyword(s):  
Waste Management ◽  
Waste Disposal ◽  
Rural Areas ◽  
Management System ◽  
Municipal Waste ◽  
Waste Collection ◽  
Considerable Part ◽  
Rural Districts ◽  
Waste Management System ◽  
Municipal Waste Management

The objective of this article is to determine changes in municipal waste management in rural areas after introduction of a new waste management system in 2012. The study includes rural districts of Bielski and Hajnowski administrative districts. The results show that the changes made have contributed to the improvement of waste management in rural areas. The amount of municipal waste collected increased by about 42 kg/inhabitant/year. A considerable part of the population (above 93%) started to separate waste. The new waste management system resulted in considerable costs increase. In a two-person households, which constitute the most in this analysis, the charges for municipal waste disposal increased from 51 to 533%, depending on the rural district and the method of waste collection (mixed waste, separated waste).

scholarly journals Elimination of greenhouse gas emission due to improvement of biodegradable waste management system

2017 ◽  
Author(s):  
Ruta Bendere ◽  
Inara Teibe ◽  
Dace Arina ◽  
Janis Lapsa
Keyword(s):  
Land Use ◽  
Environmental Impact ◽  
Waste Management ◽  
Waste Disposal ◽  
Management System ◽  
Planning System ◽  
Waste Collection ◽  
Final Disposal ◽  
Biodegradable Waste ◽  
Waste Management System

In order to reduce the emissions of greenhouse gasses (GHG) from landfills, European Union (EU) Landfill Directive 1999/31/EC requires a progressive reduction of the municipal biodegradable waste disposal. The main problem of the waste management system in Latvia is a heavy dependence from the waste disposal at landfills. An insufficient separate waste collection system and a promotion of the landfilling as a major treatment option, leaded to the disposal of 84% of the total collected municipal waste in 2012 with a high share of the biodegradable waste. Therefore, in Latvia, the volume of emissions due to the activities of the waste management branch was 5.23% (632.6 CO2 eq.) of the total GHG emissions produced in the national economy in 2010 (12 097 Gg CO2 eq., except the land use, land-use change and forestry). The aim of this research is to revise the current situation of the management of biodegradable waste in Latvia, and to propose the future activities for the practical improvements dealing with biodegradable waste. The Waste Management Planning System (WAMPS) software has been used as an environmental impact analysis tool for the modelling waste management scenarios. The WAMPS software calculates emissions, energy and turnover of waste streams for processes within the waste management system, e.g., waste collection and transportation, composting, anaerobic digestion, and final disposal – landfilling or incineration. The obtained results are presented in four environmental impact categories: acidification, global warming, eutrophication and photo-oxidant formation, which are characterised by a certain emission. It covers an integrated waste management system starting with the activities where products become waste and have been put into the waste bin at waste generation source to the last point, where the waste becomes either useful material (recycled material, biogas or compost) or becomes part of emissions in the environment after its final disposal at landfill or incineration plant.

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