An Efficient Framework Based on Cloud Computing Integrated With Internet of Things Technology for Intelligent Waste Management

2019 ◽  
pp. 132-145
Author(s):  
Suresh Annamalai ◽  
Udendhran R.
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Waste Management ◽  
Learning Algorithm ◽  
Strong Association ◽  
Waste Generation ◽  
Residential Areas ◽  
Goods And Services ◽  
Solid Waste Generation ◽  
The Cost

This chapter presents techniques based on internet of things and cloud computing-driven waste management. The data of the World Bank says that the municipal solid waste generation by the year of 2025 will be 1.42 kg/capital per day in the urban residential areas, with the increase in cost of about $375.5 billion that has a major rise from an annual of $205.4 billion in the year 2012. Due to the high population with the extreme consumption of goods and services, this leads to a strong association among the income levels, quality of life, and waste generation. In the present situation, more than 50% of the total population is living in the cities. In the governance aspect, it is said that the cost of waste management will be highly expensive. This chapter deals with the effective waste management with the implementation of internet of things (IoT)-based cloud technology with the machine learning algorithm that could be highly intellectual in the management of waste.

Development of machine learning - based models to forecast solid waste generation in residential areas: A case study from Vietnam

2021 ◽  
Vol 167 ◽  
pp. 105381
Author(s):  
X. Cuong Nguyen ◽  
T. Thanh Huyen Nguyen ◽  
D. Duong La ◽  
Gopalakrishnan Kumar ◽  
Eldon R. Rene ◽  
...  
Keyword(s):  
Machine Learning ◽  
Solid Waste ◽  
Waste Generation ◽  
Residential Areas ◽  
Solid Waste Generation

scholarly journals Monitoring Expanse Near Lakhodair Landfill and Mehmood Booti Dump Sites of Lahore, Paksitan

2020 ◽  
Vol 10 (4) ◽  
pp. 40-45
Author(s):  
Maimoona Khalil ◽  
Nausheen Mazhar ◽  
Dania Amjad
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Waste Generation ◽  
Dump Site ◽  
Disease Patterns ◽  
Urban City ◽  
Arc Gis ◽  
Solid Waste Generation ◽  
Waste Generation Rate

Solid waste management in any large urban city like Lahore requires special disposal measures. In thisregard, Lakhodair landfill and Mehmood booti dump sites collect and handle major bulk of all the solid waste comingfrom ten towns of Lahore, with the city’s waste generation rate of being 0.84kg/capita per day. Spatial expanse of boththe sites was calculated in Arc GIS 10.3 system. The findings clearly showed that the extent of both these dump siteshad increased during 2006-2016 due to an enormous rise in solid waste generation. During 2006, the area of MehmoodBooti dump site and Lakhodair Landfill site was only 15 hectares and 17 hectares respectively. By 2016, this area hadincreased to 32 hectares and 52 hectares respectively. The mapping of these two sites can help in future researchesbased on investigating the disease patterns among people residing around these sites and by determining methaneemissions in the study area.

Applications of Cloud-Based Internet of Things

2021 ◽  
pp. 65-84
Author(s):  
Nipun R. Navadia ◽  
Gurleen Kaur ◽  
Harshit Bhardwaj ◽  
Taranjeet Singh ◽  
Aditi Sakalle ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Business Model ◽  
Data Driven ◽  
The Internet ◽  
Cloud Infrastructure ◽  
Business Decisions ◽  
Goods And Services ◽  
Cloud Network ◽  
The Internet Of Things

Cloud storage is a great way for companies to fulfill more of their data-driven needs and excellent technology that allows the company to evolve and grow at a faster pace, accelerating growth and providing a flexible forum for developers to build useful apps for better devices to be developed over the internet. The integration of cloud computing and the internet of things creates a scalable, maintainable, end-to-end internet of things solution on the cloud network. By applying the infrastructure to the real universe, it generates sources of insight. Cloud computing and IoT are separate technology but are closely associated and are termed as ‘cloud-based IoT' as IoT has the ability to create intelligent goods and services, gather data that can affect business decisions and probably change the business model to boost success and expansion, and cloud infrastructure can be at the heart of all IoT has to deliver.

Municipal solid waste generation, composition, and management: the global scenario

2020 ◽  
Vol 16 (6) ◽  
pp. 917-948
Author(s):  
Kapil Dev Sharma ◽  
Siddharth Jain
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Management Strategies ◽  
Technology Selection ◽  
Waste Generation ◽  
Content Type ◽  
The World ◽  
Solid Waste Generation

Purpose Due to the increasing population and prosperity, the generation rate of municipal solid waste (MSW) has increased significantly, resulting in serious problems on public health and the environment. Every single person in the world is affected by the municipal solid waste management (MSWM) issue. MSWM is reaching a critical level in almost all areas of the world and seeking the development of MSW strategies for a sustainable environment. This paper aims to present the existing global status of MSW generation, composition, management and related problems. Design/methodology/approach A total of 59 developed and developing countries have been grouped based on their gross national income to compare the status of various MSWM technologies among them. A total of 19 selection criteria have been discussed to select appropriate MSWM technology(s) for a city/town, which affects their applicability, operational suitability and performance. All risks and challenges arising during the life cycle of the waste to energy (WtE) project have also been discussed. This paper also gives a comparative overview of different globally accepted MSWM technologies and the present market growth of all WtE technologies. Findings It was found that most developed countries have effectively implemented the solid waste management (SWM) hierarchy and are now focusing heavily on reducing, reusing and recycling of MSW. On the other hand, SWM has become very serious in low-income and low-middle-income countries because most of the MSW openly dumps and most countries are dependent on inadequate waste infrastructure and the informal sector. There are also some other major challenges related to effective waste policies, availability of funds, appropriate technology selection and adequacy of trained people. This study clears the picture of MSW generation, composition, management strategies and policies at the worldwide context. This manuscript could be valuable for all nations around the world where effective MSWM has not yet been implemented. Originality/value This study clears the picture of solid waste generation, composition, management strategies and policies at the worldwide context. This manuscript could be valuable for all nations around the world where effective MSWM has not yet been implemented. In this study, no data was generated. All supporting data were obtained from previously published papers in journals, the outcomes of the international conferences and published reports by government organizations.

scholarly journals Cloud Computing Storage Backup and Recovery Strategy Based on Secure IoT and Spark

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Dajun Chang ◽  
Li Li ◽  
Ying Chang ◽  
Zhangquan Qiao
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Spatial Data ◽  
Loss Rate ◽  
Data Recovery ◽  
Computing Device ◽  
Data Packets ◽  
Recovery Strategies ◽  
Backup And Recovery ◽  
The Cost

Spatial data occupies a large proportion of the large amount of data that is constantly emerging, but a large amount of spatial data cannot be directly understood by people. Even a highly configured stand-alone computing device can hardly meet the needs of visualization processing. In order to protect the security of data and facilitate for users the search for data and recover by mistake, this paper conducts a research on cloud computing storage backup and recovery strategies based on the secure Internet of Things and Spark platform. In the method part, this article introduces the security Internet of Things, Spark, and cloud computing backup and recovery related content and proposes cluster analysis and Ullman two algorithms. In the experimental part, this article explains the experimental environment and experimental objects and designs an experiment for data recovery. In the analysis part, this article analyzes the challenge-response-verification framework, the number of data packets, the cost of calculation and communication, the choice of Spark method, the throughput of different platforms, and the iteration and cache analysis. The experimental results show that the loss rate of database 1 in the fourth node is 0.4%, 2.4%, 1.6%, and 3.2% and the loss rate of each node is less than 5%, indicating that the system can respond to applications.

scholarly journals STUDI TINGKAT PARTISIPASI MASYARAKAT KELURAHAN JEMUR WONOSARI DALAM PENGELOLAAN SAMPAH PASCA PROGRAM GREEN AND CLEAN

2018 ◽  
Vol 14 (1) ◽  
pp. 39-48
Author(s):  
Nahawanda Ahsanu Amala ◽  
Rr Diah Nugraheni Setyowati ◽  
Sarita Oktorina
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Community Participation ◽  
Quantitative Research ◽  
Solid Waste Management ◽  
Waste Generation ◽  
Internal Factors ◽  
Participation Level ◽  
Big City ◽  
Solid Waste Generation

Solid waste problem is happen in many big city, such as Surabaya City. Jemur Wonosari which is participant in Surabaya Green and Clean (SGC) program also have waste management problems. When SGC was conducted, solid waste management is good. However, after the program finished, solid waste management facilities was neglected. In this research we measured solid waste measurement in waste generation and composition from domestic and non-domestic. Also to survey the level of community participation in manage solid waste. The design is quantitative research, data getting from measurement of waste generation and composition also question data to know community participation level in waste management which influenced by internal factors (knowledge, motivation, and environment attitude).The result of research, waste from people in a day is 0,093 kg/person/day. The result of solid waste generation which produced by the community is about 2054,37 kg/day. Waste composition which dominated by food waste, it’s about 43,3%. From the X2 test explain that there is a relation between knowledge, motivation, and environment attitude to community participation and between community participation to solid waste management. The community need to improve composting activities to minimize waste and rise up community participation.

scholarly journals Perencanaan Pengelolaan Sampah Di Pasar Dasan Agung Kota Mataram Dengan Pendekatan Reduce, Reuse Dan Recycle (3R)

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Wahyudin Wahyudin ◽  
Fitriah Fitriah ◽  
Azwaruddin Azwaruddin
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Organic Waste ◽  
Management Plan ◽  
Waste Generation ◽  
Management Planning ◽  
Zero Waste ◽  
Solid Waste Generation ◽  
Inorganic Waste ◽  
Observation Method

<p>Waste management in the Dasan Agung Market in Mataram City still uses conventional patterns. This pattern is not in line with the NTB Province policy that launched the concept of zero waste in 2019-2023. One approach that can support the program is the 3R method of waste management. This study aims to develop a waste management plan using the 3R approach. The method used in this study is the observation method, which is observing the current conditions and measuring the generation and composition of waste. The technique of determining the sample and measurement time and the procedure refers to SNI-19-3964-1995. The results showed that the amount of solid waste generation in Dasan Agung Market was 2.7 m<sup>3</sup> / day and the weight of solid waste was 467 kg / day. Waste composition was obtained by organic waste 52.60% and inorganic waste 47.40%. TPS 3R is planned with an area of 110 m<sup>2</sup>, namely 74 m<sup>2</sup> for composting area and 36 m<sup>2</sup> for sorting and handling inorganic waste, and residual waste. The composting system implemented is using the drum method with a capacity of 100 liters, a total of 307 pieces. Waste Management Planning using the 3R Approach is capable of handling 80% of the waste, and 20% of the residue is disposed of in the landfill.</p>

scholarly journals TRADITIONAL MARKET SOLID WASTE MANAGEMENT STUDY IN KEPANJEN, MALANG DISTRICT

Konversi ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Hardianto Hardianto ◽  
I Nyoman Sudiasa ◽  
Shendy Hilda Sari
Keyword(s):  
Specific Gravity ◽  
Waste Management ◽  
Mass Balance ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Raw Materials ◽  
Waste Generation ◽  
Total Load ◽  
Method Calculation ◽  
Solid Waste Generation

Traditional markets are commercial areas that produce household-type solid waste so that the generation, composition, and the characteristics of the solid waste in Kepanjen Market will be different. This research is related to the reduction potential to improve solid waste management with the aim of determining the generation, composition, characteristics, collection and the transportation of the solid waste. The data used in this study include operational technical solid waste data, as well as secondary data such as area, number of traders, solid waste management resources, collection facilities, transportation routes, supporting maps. Solid waste generation calculation uses load-count analysis method. Calculation of solid waste composition uses the crossroad method. Calculation of physical characteristics includes specific gravity of solid waste. Calculation of transportation of solid waste uses the Hauled Container System method. Mass balance is analyzed using recovery factor values. The results of the analysis show that the solid waste generation average is 2.94 m3/day, with a specific gravity of 190.03 kg/m3. The highest composition of solid waste is food solid waste by 28.67% and vegetable and fruit solid waste by 22.67%. These components can be used as compost raw materials. The potential reduction with the mass balance method shows that the residue is 201.49 kg/day, reduction scenario can reduce solid waste by 36.06% of the total load that must be transported to the Final Processing Site. The solid waste transport result with the capacity/size of 6-10 m3 of a transport vehicle (arm roll truck) shows that the effective working hours for 8 hours can pick up the solid waste in 1 trip, and the transport fleet can serve other markets.

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