Smart Waste Management System using IBM Watson Services

In present developed or developing countries wastage managements are one in the primary problems. This main issues to wastage managements to the overload of garbage bins, which spills out results in pollution and leads to spread diseases. The detection, monitoring, management of wastage into wastage bin as a complex processes that takes more humans effort, time & cost while it is not suitable for presents day technology. The main aim is to design a system based using IBM Watson IoT methodology for collecting garbage from the particular area whose garbage bins are overflowing. These are papers proposes at a smart alert systems with the clear of garbage by giving continuous notifications to the receiver for cleaning the dustbins. This process is done by the sensor which is used as checking in the levels to garbage fills to the waste bins & sending notifications to this municipal collection department. This is android application is used as intimates in the alert with micro controllers as the urbanoffice & to performed in the remote monitor to the cleaning process. The notifications are sent as android application using Wi-Fi module.

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Determinants of Willingness to Pay for Improved Solid Waste Management System in Lekhnath, Kaski, Nepal

Janapriya Journal of Interdisciplinary Studies ◽

10.3126/jjis.v6i0.19305 ◽

2018 ◽

Vol 6 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Ananta Raj Dhungana

Keyword(s):

Developing Countries ◽

Waste Management ◽

Willingness To Pay ◽

Solid Waste ◽

Management System ◽

Solid Waste Management ◽

Family Type ◽

Waste Management System ◽

Solid Waste Management System ◽

At Home

Solid waste management is one of the developmental challenges facing city authorities worldwide, especially in most developing countries. Rapid urbanization has made solid waste management a serious problem in poor and developing countries. This study aims to analyze the determinants of willingness to pay for improved solid waste management system. For this purpose, two hundred and seventeen Households were selected in Lekhnath, Kaski, Nepal. Pre-structured questionnaire was used to collect the data. Data was collected by using systematic random sampling techniques. Multiple Linear Regression analysis was used to find the determinants of willingness to pay for improved solid waste management system. The tentative average wastes produced per day from their house is one kilogram with minimum one hundred gram and maximum ten kilogram per day. Main disposal method/site for solid waste management of majority of the respondents is Burn followed by cannal, near open places, send in waste management vehicle, road side and rivulets. Almost all of the respondents are not satisfied with the community responsible for solid waste management in the study area. The average amount that the respondents have willingness to pay for solid waste management system is Rs 56.84 per month. Further, it is found that Having any member abroad, Remittance received in last one year and House ownership are the major determining factors for willingness to pay for improved solid waste management system in the study area. However, other factors like Sex of the respondents, age of the respondents, family size, Family type, Caste/ethnicity, education of the respondents, Total number of employed person at home, Total number of literate person at home, Major occupation of the respondents, tentative weight of accumulated solid waste per day, Monthly Income of household, Visit at any hotel/restaurant during last 12 months, and Having any livestock at household do not have any significant impact on willingness to pay for improved solid waste management system. Janapriya Journal of Interdisciplinary Studies, Vol. 6 (December 2017)

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Supply chain analysis of e-waste processing plants in developing countries

Waste Management & Research ◽

10.1177/0734242x19886633 ◽

2019 ◽

Vol 38 (2) ◽

pp. 173-183 ◽

Cited By ~ 3

Author(s):

Rahul Baidya ◽

Biswajit Debnath ◽

Sadhan Kumar Ghosh ◽

Seung-Whee Rhee

Keyword(s):

Developing Countries ◽

Supply Chain ◽

Waste Management ◽

Management System ◽

Quality Function Deployment ◽

Multiple Criteria Decision Making ◽

Field Studies ◽

Waste Processing ◽

Waste Management System ◽

Processing Plants

e-Waste is generated at the staggering rate of 6.1 kg per person. In 2016, 44.7 million tonnes was generated globally, and the amount is estimated to reach 52 million tonnes annually by 2021. The management of this huge quantity of e-waste is a major problem across the world, primarily in developing countries. An effective e-waste management system is linked to the sustainability of e-waste processing plants, and currently it is plagued with different supply chain network (SCN) issues. To address the issues and challenges of SCN, there is a need to prioritize and address the constructs. The study thus combines two multiple criteria decision making (MCDM) tools, the analytical hierarchy process (AHP) and quality function deployment, to prioritize the constructs identified from literature and supported by field studies. The house of quality (HOQ) has been used for analyzing different stakeholders’ requirements. The degree of importance for HOQ-1 has been derived using the AHP tool. The study revealed the most intriguing issues and challenges of e-waste processing plants considering the requirements of different stakeholders. The results showed formal collection, storage, semi-informal collection, and e-waste quality to be the major issues of processing plants. The findings obtained from MCDM analysis have been validated though two case studies in India and China. If the results obtained are applied to the existing e-waste SCN, a holistic e-waste management system can be achieved for developing countries.

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Urban Sustainability and the Economic Impact of Implementing a Structured Waste Management System: A Comparative Analysis of Municipal Waste Management Practices Developing Countries

International Journal of Regional Development ◽

10.5296/ijrd.v4i1.10005 ◽

2016 ◽

Vol 4 (1) ◽

pp. 1 ◽

Cited By ~ 2

Author(s):

Oladipupo Salau ◽

Gbolahan S Osho ◽

Moriam Salau

Keyword(s):

Public Health ◽

Developing Countries ◽

Waste Management ◽

Management System ◽

Urban Sustainability ◽

Local Economy ◽

Municipal Waste ◽

Economic Implication ◽

Waste Management System ◽

Municipal Waste Management

<p>Implementing a structured municipal waste management system in urban spatial context revolves around integrated municipal solid waste system (IMSWM) that comprised all major actions in waste management. The institutional structure of IMSWM entails a much wider scope of responsibility that marked a departure from the traditional municipal waste management system that seeks to reduce risk to public health by removing waste from homes and cities to the landfill. Integrated waste management incorporates, in addition to reducing risk to public health and the environment, resource conservation and material recovery that promotes social inclusiveness and urban sustainability. The economic implication of implementing a balanced structured MSMW is enormous; not only in terms of financial burdens on the government but also the revenue it generates for local economy and its macroeconomic effects. This study makes use of secondary data and compares municipal waste management systems operated in three developing countries by looking at MWM strategy that optimizes economic efficiency and promotes sustainable development in urban cities that can be applicable to other developing countries.</p>

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Smart Waste Management System

Advances in Civil and Industrial Engineering - Big Data Analytics for Smart and Connected Cities ◽

10.4018/978-1-5225-6207-8.ch010 ◽

2019 ◽

pp. 229-242

Author(s):

S. Umamaheswari

Keyword(s):

Developing Countries ◽

Waste Management ◽

Management System ◽

Smart Cities ◽

Smart Devices ◽

The Internet ◽

Direct Communication ◽

Waste Management System ◽

Fill Level ◽

The Cost

Smart connected devices are emerging from the internet today. These devices are embedded with intelligence due to the development in technology. These intelligent (smart) devices are capable of interacting with humans and other smart devices, which has led to the development of “Internet of Things” (IoT). The environment can be made smart and self-aware by the direct communication between more and more devices that are part of the IoT. The IoT concept can be applied to design a smart waste management system that makes the environment clean. A smart cities project has been initiated in most developing countries. Waste management is one of the prime components of the smart city. Garbage bins can be made intelligent, so that the fill level of the bins can be sensed, and the waste can be collected. This system will minimize the time and the cost of collecting waste.

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