Identification and analysis of Microplastics in Riverine Environment in Kannu...IRJET Journal
ย
The document discusses a study that analyzed samples collected from three locations along the banks of the Anjarakandy River in Kannur, Kerala, India to identify and quantify microplastic pollution. The study found an average of 20-22 microplastic particles per 100 grams of soil sample, with the highest count at a location near the river's draining site. Fourier-transform infrared spectroscopy analysis identified the microplastics as predominantly polyethylene and polypropylene polymers.
Artificial Intelligence in Biodiversity and Citizen ScienceKatina Michael
ย
This document discusses examples of using artificial intelligence and citizen science for biodiversity monitoring and conservation efforts. It provides examples of using computer vision technologies like drones, cameras, and sensors to collect visual data on animals, plants, and ecosystems. Citizen scientists can help collect and analyze large amounts of multimedia data to help researchers and decision-makers. However, it also raises questions about privacy, ownership of data, potential over-surveillance of wildlife, and ensuring data quality when relying on non-experts. Overall, the document examines the opportunities and challenges of new technologies for environmental monitoring while relying on public participation through citizen science.
Arduino based Wastage Segregator for Efficient Waste Managementijtsrd
ย
The Wastage Segregator project aims to address the increasing problem of waste management by developing an automated system that segregates waste materials into their respective categories. The project employs various techniques such as image processing, machine learning, and robotics to identify and sort different waste types, including plastic, paper, glass, and metal. The system is designed to be user friendly and can be easily installed in public places such as parks, markets, and residential areas. This project has the potential to significantly reduce the amount of waste that ends up in landfills, which can help preserve the environment and promote sustainability. Shreyas Patwardhan | Pranav Wadkar | Preetam Rao | Akshata Nikam | Prof. Revti Jadhav "Arduino-based Wastage Segregator for Efficient Waste Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55173.pdf Paper URL: https://www.ijtsrd.com.com/engineering/electrical-engineering/55173/arduinobased-wastage-segregator-for-efficient-waste-management/shreyas-patwardhan
Patrick T. Curran Fellowship - Guardian of OceanYuShengDent1
ย
This document discusses landscape strategies to protect oceans from plastic waste. It begins by providing background on plastic waste and how it ends up in oceans. It then discusses three main strategies - infrastructure, education, and sustainability. For infrastructure, it explores ways to redesign drainage systems and implement filtering technologies to prevent plastic from reaching waterways. For education, it considers designs that can impact behaviors and reduce waste. For sustainability, it examines models for managing waste sustainably at the community scale. It concludes by outlining SWA's guidelines for ocean waste reduction in professional design practice.
This document outlines the proposal for a study on developing a semi-automated waste sorting machine. It includes an introduction to waste types and sources. It discusses the problems with current manual sorting methods. The objectives are to design and model the sorting mechanisms, conveyor system, and control system. The significance is reducing environmental pollution and health issues while improving efficiency. The scope is developing the design and control system using sensors and a microcontroller. A literature review covers related automated sorting research. The methodology describes the main components like sensors, microcontroller, and process flow. Work and budget plans are also included.
IRJET- Mystery Dustbin for Waste SegregationIRJET Journal
ย
The document proposes a "Mystery Dustbin" system that uses various sensors to automatically segregate waste into categories like wet, metal, plastic, and dry garbage. The sensors include a moisture sensor, inductive sensor, capacitive sensor, and ultrasonic sensor. The system would send alerts to the municipal corporation via GSM when the bins are full so the garbage can be collected in a timely manner to better manage waste.
This document describes a smart dustbin monitoring system that uses sensors and a microcontroller to monitor waste levels and conditions in trash bins. Moisture and infrared sensors attached to dustbins can detect whether waste is wet or dry, and measure waste volume. The microcontroller sends this data via an app to notify authorities when bins are full. Implementing this system widely could help manage waste more efficiently and prevent health issues from overflowing or untreated trash. The document provides background on waste management challenges and reviews several related works using sensors and IoT technologies to monitor trash bins and automate waste collection.
Identification and analysis of Microplastics in Riverine Environment in Kannu...IRJET Journal
ย
The document discusses a study that analyzed samples collected from three locations along the banks of the Anjarakandy River in Kannur, Kerala, India to identify and quantify microplastic pollution. The study found an average of 20-22 microplastic particles per 100 grams of soil sample, with the highest count at a location near the river's draining site. Fourier-transform infrared spectroscopy analysis identified the microplastics as predominantly polyethylene and polypropylene polymers.
Artificial Intelligence in Biodiversity and Citizen ScienceKatina Michael
ย
This document discusses examples of using artificial intelligence and citizen science for biodiversity monitoring and conservation efforts. It provides examples of using computer vision technologies like drones, cameras, and sensors to collect visual data on animals, plants, and ecosystems. Citizen scientists can help collect and analyze large amounts of multimedia data to help researchers and decision-makers. However, it also raises questions about privacy, ownership of data, potential over-surveillance of wildlife, and ensuring data quality when relying on non-experts. Overall, the document examines the opportunities and challenges of new technologies for environmental monitoring while relying on public participation through citizen science.
Arduino based Wastage Segregator for Efficient Waste Managementijtsrd
ย
The Wastage Segregator project aims to address the increasing problem of waste management by developing an automated system that segregates waste materials into their respective categories. The project employs various techniques such as image processing, machine learning, and robotics to identify and sort different waste types, including plastic, paper, glass, and metal. The system is designed to be user friendly and can be easily installed in public places such as parks, markets, and residential areas. This project has the potential to significantly reduce the amount of waste that ends up in landfills, which can help preserve the environment and promote sustainability. Shreyas Patwardhan | Pranav Wadkar | Preetam Rao | Akshata Nikam | Prof. Revti Jadhav "Arduino-based Wastage Segregator for Efficient Waste Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55173.pdf Paper URL: https://www.ijtsrd.com.com/engineering/electrical-engineering/55173/arduinobased-wastage-segregator-for-efficient-waste-management/shreyas-patwardhan
Patrick T. Curran Fellowship - Guardian of OceanYuShengDent1
ย
This document discusses landscape strategies to protect oceans from plastic waste. It begins by providing background on plastic waste and how it ends up in oceans. It then discusses three main strategies - infrastructure, education, and sustainability. For infrastructure, it explores ways to redesign drainage systems and implement filtering technologies to prevent plastic from reaching waterways. For education, it considers designs that can impact behaviors and reduce waste. For sustainability, it examines models for managing waste sustainably at the community scale. It concludes by outlining SWA's guidelines for ocean waste reduction in professional design practice.
This document outlines the proposal for a study on developing a semi-automated waste sorting machine. It includes an introduction to waste types and sources. It discusses the problems with current manual sorting methods. The objectives are to design and model the sorting mechanisms, conveyor system, and control system. The significance is reducing environmental pollution and health issues while improving efficiency. The scope is developing the design and control system using sensors and a microcontroller. A literature review covers related automated sorting research. The methodology describes the main components like sensors, microcontroller, and process flow. Work and budget plans are also included.
IRJET- Mystery Dustbin for Waste SegregationIRJET Journal
ย
The document proposes a "Mystery Dustbin" system that uses various sensors to automatically segregate waste into categories like wet, metal, plastic, and dry garbage. The sensors include a moisture sensor, inductive sensor, capacitive sensor, and ultrasonic sensor. The system would send alerts to the municipal corporation via GSM when the bins are full so the garbage can be collected in a timely manner to better manage waste.
This document describes a smart dustbin monitoring system that uses sensors and a microcontroller to monitor waste levels and conditions in trash bins. Moisture and infrared sensors attached to dustbins can detect whether waste is wet or dry, and measure waste volume. The microcontroller sends this data via an app to notify authorities when bins are full. Implementing this system widely could help manage waste more efficiently and prevent health issues from overflowing or untreated trash. The document provides background on waste management challenges and reviews several related works using sensors and IoT technologies to monitor trash bins and automate waste collection.
In this paper, we present a cost effective and efficient smart waste management system that acts as an easy link between the user and the authority by providing a mobile application to monitor the bin interfaced with appropriate sensors. Somy P Mathew | Lisha Tomy | Parvathi S | Reshmi Nath ""Smart Waste Management System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23482.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23482/smart-waste-management-system/somy-p-mathew
Deborah Estrin's Presentation at Emerging Communication Conference & Awards 2...eCommConf
ย
This document discusses participatory sensing, which involves individuals using their personal mobile devices and web services to systematically collect and share data about various aspects of their lives and environments. It provides examples of participatory sensing projects focused on civic issues, environmental monitoring, health, education, transportation, and privacy. The document outlines challenges with incentivizing participation, handling private data, and ensuring representative contributions. It argues that participatory sensing has potential to generate useful data by leveraging the widespread adoption of mobile phones and engagement of people in exploration.
The document discusses research into using bimetallic nanoparticles for water treatment. The goals are to determine the most effective metal alloy combinations for treating azo dyes in water and to confirm that any nanoparticles left behind after treatment are non-toxic. The researchers will test different alloys and their ability to absorb azo dyes using spectroscopy. They will also evaluate the risk of nano-toxicity from the particle combinations. The most beneficial and least risky alloy will be selected for further research into optimizing water purification efficiency while minimizing costs.
This document provides an outline for a presentation on technology. It begins with definitions of technology and discusses its characteristics and main categories. It then explores both the positive and negative impacts of technology on the environment, society, and employment. Some key benefits of new technological inventions are also highlighted, such as fast communication, transportation, and increased productivity. The document concludes by noting some limitations of technology and how the impacts depend on how it is used.
A Unique Technique for Solid Waste Segregationijtsrd
ย
The rising population of India poses serious threats with regard to the availability of living space, utilization of natural resources and raw materials, education and employment, another serious peril that follows is the escalating amount of waste generated each minute by an individual. One such problem is solid waste management which in addition to disturbing the balance of environment also has adverse effect on health of the society. Effective waste management is one of the major problems of the present era. The segregation, handling, transportation and disposal of waste are to be properly managed so as to minimize the risk to the environment. Waste segregator comprises of IR sensor to detect the waste or objects that are present on the conveyor belt. The IR sensor conveys the data to the micro controller, and then the microcontroller initiates the driver circuit. The function of the driver circuit is to convert the low current signal to high current signal. This high current signal is then given to the motor which makes the motor to rotate in clockwise and anticlockwise direction, resulting in the movement of conveyor belt. Conveyor belt start moving, when the waste on the conveyor belt reaches the blower section, the conveyor belt stop to a particular duration of time, during that time blower is turned on, which makes the dry waste to blow off and fall into the bin. Once the dry waste is removed, again when it reaches the metallic section, again conveyor belt is stops. Once the conveyor belt stops, the microcontroller initiates the motor to rotate in a particular angle and provides power supply to the electro magnet. The electro magnet attracts the metal particles objects that are present in the mixed waste. Mahesh Kumar A S | Rajesh A S "A Unique Technique for Solid Waste Segregation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26355.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26355/a-unique-technique-for-solid-waste-segregation/mahesh-kumar-a-s
Low resource deep learning to detect waste intensity in the river flowjournalBEEI
ย
This document summarizes a study that used the YOLO v3 deep learning algorithm to detect waste in river flows and calculate waste intensity. Researchers collected 340 images of waste in rivers to use as a training dataset for a YOLO v3 model. The model was tested on videos of river flows and achieved 98.74% confidence in detecting waste objects. The resulting application can detect a variety of waste sizes, from small food wrappers to large objects, and count the number of waste items intersecting a drawn reference line in each video frame. This waste detection and counting system aims to help monitor waste in rivers and predict when river cleaning is needed.
Solid waste management is one of the major aspect which has to be considered in terms of making urban area environment healthier. The common dustbins placed by the municipal corporation are leading number of health, environmental and social issues. Various causes are like improper dustbin placement in city, improper system of collecting waste by City Corporation, and more specifically people are not aware enough to use dustbins in proper way. These various major causes are leading serious problems like, an unhygienic condition, air pollution and unhealthy environment creating health disease. Up till now, research has been carried out by developing a Software Applications for indicating dustbin status, another by shortest part method for garbage collecting vehicles by integrating RFID ,GSM, GIS system but no active efforts has been taken paying attention towards managing such waste in atomized way. Considering all these major factors, a smart solid waste management system is designed that will check status and give alert of dustbin fullness and more significantly system has a feature to literate people to use dustbin properly and to literate people to use dustbin properly and to automatically sense and clean garbage present outside the dustbin. Thus presented solution achieves smart solid waste management system. M. Ramyaa | Dr. Perarasi ""Waste Management System by Using IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23479.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23479/waste-management-system-by-using-iot/m-ramyaa
This document requests proposals for developing a low-cost, portable in-situ sampler for microplastics in coastal environments. It summarizes a proposal submitted by Katherine Ball to create an angular backscatter detector called m-PARR (Micro-plastic Angular Refraction Recorder) that uses the principle of light refraction to identify microplastics pumped through the device. The proposal outlines developing m-PARR in stages through summer 2016, with field testing in September to demonstrate the device's ability to sample microplastics and engage citizen scientists. The deliverables would include a functional prototype, documentation, and a field testing report.
11 9244 it canny junk system based on iot(edit ty)IAESIJEECS
ย
Waste organization is one of the fundamental issue that the world goes up against free of the case of made or making country. The key issue in the waste organization is that the junk canister at open spots stretches out beyond time some time as of late the start of the accompanying cleaning process. It is this way prompts distinctive dangers, for instance, horrendous aroma and disagreeableness to that place which may be the principle driver for spread of various afflictions. To avoid all such hazardous circumstance and keep up open cleanliness also, prosperity this work is mounted on a splendid decline structure. The guideline subject of the work is to develop a sagacious astute deny prepared structure for a real junk organization .This paper proposes a smart prepared structure for junk space by giving an alert banner to the common web server for minute cleaning of dustbin with honest to goodness check based on level of waste filling. This technique is bolstered by the ultrasonic sensor which is interfaced with Arduino UNO to check the level of waste filled in the dustbin and sends the alert to the common web server once if waste is filled.
This document analyzes solid waste management practices in Yavatmal city, India. It finds that the city generates 24 tonnes of solid waste per day. Food and garden waste makes up the largest portion at 47% of the waste stream. Paper accounts for 18% and inert materials 17%. The city collects waste through door-to-door collection and community bins. Waste is disposed of at a site 8 km outside the city where it is composted or landfilled. The study recommends improving waste segregation, adding transfer stations to reduce transportation costs, and increasing public awareness programs about sustainable waste management.
Capsule Neural Networks and Visualization for Segregation of Plastic and Non-...sreelakshmikombrath
ย
The ppt explains about a hardware setup which automatically segregates plastic and non plastic waste materials. Deep learning is the algorithm used for classification.
A review of hyperspectral imaging-based plastic waste detection state-of-the-...IJECEIAES
ย
Plastic waste issues emerged from the build-up of plastics that negatively impacts the environment. As a result, plastic waste detection is proposed in many research studies to tackle the problems. Therefore, this paper aims to review hyperspectral imaging techniques and machine learning in plastic waste detection. Hyperspectral imaging techniques are found to be effective in detecting plastic waste and microplastics as they were able to capture plastic reflectance spectral by using the near-infrared sensor. However, the review also shows that hyperspectral imaging techniques were less efficient in capturing the electromagnetic spectrum of black plastics due to carbon-black absorption properties. Carbon-black strongly absorbs light in the ultraviolet and infrared spectral range of the electromagnetic spectrum, therefore not detected by the near-infrared sensor. This paper also reviews how machine learning can alternatively detect and sort all types of waste, including plastics. Multiple studies show that the machine learning model achieved good accuracy in detecting all types of plastics based on the waste dataset. Finally, it can be seen that the spectral information of plastic can be used as feature extraction for machine learning models for better plastic detection. It is hoped that this study will contribute to more systematic research on the same topic.
IRJET- Smart Waste Segregator and Monitoring SystemIRJET Journal
ย
This document describes a smart waste segregator and monitoring system that was developed. The system uses ultrasonic sensors placed over garbage bins to detect garbage levels and compare it to bin depths. An Arduino microcontroller, LCD screen, WiFi modem, and buzzer are used. The LCD screen displays bin levels and a web page shows status to users monitoring it. This system provides automatic waste segregation to reduce manual sorting efforts and notifies users when bins are full through an alert system. It was found to work as designed after implementation and testing. Future work includes large scale implementation and improving collection efficiency based on bin status.
Community Development & Citizen Science dan mcquillan
ย
Slides from โCommunities surviving, striving, thriving? A day of dialogue and actionโ - the community development conference at Goldsmiths, University of London 20-2-14 http://www.gold.ac.uk/community-engagement-research/communitydevelopmentconference/
Development of Automated Trash Collecting Boat using Machine LearningIRJET Journal
ย
This document describes the development of an automated trash collecting boat using machine learning. Key points:
1. The prototype boat uses image processing and machine learning to detect garbage in water bodies. BLDC motors power movement while a conveyor belt collects trash.
2. A Raspberry Pi processes camera images using a YOLOv7 model trained to identify garbage. The boat navigates autonomously towards detected trash.
3. Initial tests showed the boat could successfully detect and collect plastic bags and boxes from water. Further improvements could enhance materials, power supply, and detection accuracy.
This document proposes an optimized waste management system using smart bins equipped with sensors. The key points are:
1. Smart bins can sense the amount of waste accumulated over time and send requests to garbage collectors when a threshold is reached. This allows for more efficient collection of waste.
2. The system aims to reduce human labor and time spent on waste collection through automation. Smart bins will monitor waste levels and notify collectors without human intervention.
3. An algorithm determines the shortest collection route for garbage trucks based on waste levels reported from the smart bins. This optimizes efficiency and reduces costs like fuel usage.
Soil quality and open science presentation april2014Tom Olijhoek
ย
This document discusses skills and knowledge related to soil science, microbiology, and sharing information openly. It covers:
- Key skills including biochemistry, geomicrobiology, and open science practices
- How soil microbes like bacteria and fungi decompose organic matter and make nutrients available to plants through the soil food web
- The roles of different soil microbes in processes like nitrogen fixation and decomposition
- The potential to discover new bacteria through astrobiology and apply findings to agriculture
- Promoting open sharing of agricultural knowledge through networks and grassroots initiatives using emerging technologies
IRJET- Top-K Query based Dynamic Scheduling for IoT-Enabled Smart City Waste ...IRJET Journal
ย
This document proposes a smart waste collection system for cities that uses Internet of Things (IoT) technologies. Smart waste dustbins equipped with sensors would detect waste levels and send this data via WiFi to a central web portal. If a dustbin reaches its threshold, a notification would be sent to authorities and users via a mobile app. The system aims to optimize waste collection routes for vehicles using the shortest path between full dustbins. This would make the waste collection process more efficient and help address the problem of overflowing trash bins.
Singapore University of Technology and Design - November 2016 HighlightsNurhazman Abdul Aziz
ย
The document provides information about resources available through the SUTD library related to publishing and research. It highlights access to the Nature platform of scientific journals, e-books published by SUTD authors, journals SUTD authors have published in, and example research topics covered by resources in the library. It also provides data on SUTD's publications and authors through Springer Nature, including over 250 articles, 150 publications, and 600 authors.
AI Sensors and Dashboards: Gauging and Monitoring the Inferences Capabilities...Huber Flores
ย
Huber Flores presented research on developing AI sensors and dashboards to gauge and monitor the trustworthy properties of AI systems. The sensors would measure properties like fairness, explainability, and performance. A dashboard would display readings from the sensors to provide transparency into how well an AI system satisfies properties like fairness, accuracy, and resilience. The sensors and dashboards aim to help testers, developers, and auditors ensure AI systems operate as intended and without unintended harms or biases.
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In this paper, we present a cost effective and efficient smart waste management system that acts as an easy link between the user and the authority by providing a mobile application to monitor the bin interfaced with appropriate sensors. Somy P Mathew | Lisha Tomy | Parvathi S | Reshmi Nath ""Smart Waste Management System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23482.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23482/smart-waste-management-system/somy-p-mathew
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This document discusses participatory sensing, which involves individuals using their personal mobile devices and web services to systematically collect and share data about various aspects of their lives and environments. It provides examples of participatory sensing projects focused on civic issues, environmental monitoring, health, education, transportation, and privacy. The document outlines challenges with incentivizing participation, handling private data, and ensuring representative contributions. It argues that participatory sensing has potential to generate useful data by leveraging the widespread adoption of mobile phones and engagement of people in exploration.
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This document provides an outline for a presentation on technology. It begins with definitions of technology and discusses its characteristics and main categories. It then explores both the positive and negative impacts of technology on the environment, society, and employment. Some key benefits of new technological inventions are also highlighted, such as fast communication, transportation, and increased productivity. The document concludes by noting some limitations of technology and how the impacts depend on how it is used.
A Unique Technique for Solid Waste Segregationijtsrd
ย
The rising population of India poses serious threats with regard to the availability of living space, utilization of natural resources and raw materials, education and employment, another serious peril that follows is the escalating amount of waste generated each minute by an individual. One such problem is solid waste management which in addition to disturbing the balance of environment also has adverse effect on health of the society. Effective waste management is one of the major problems of the present era. The segregation, handling, transportation and disposal of waste are to be properly managed so as to minimize the risk to the environment. Waste segregator comprises of IR sensor to detect the waste or objects that are present on the conveyor belt. The IR sensor conveys the data to the micro controller, and then the microcontroller initiates the driver circuit. The function of the driver circuit is to convert the low current signal to high current signal. This high current signal is then given to the motor which makes the motor to rotate in clockwise and anticlockwise direction, resulting in the movement of conveyor belt. Conveyor belt start moving, when the waste on the conveyor belt reaches the blower section, the conveyor belt stop to a particular duration of time, during that time blower is turned on, which makes the dry waste to blow off and fall into the bin. Once the dry waste is removed, again when it reaches the metallic section, again conveyor belt is stops. Once the conveyor belt stops, the microcontroller initiates the motor to rotate in a particular angle and provides power supply to the electro magnet. The electro magnet attracts the metal particles objects that are present in the mixed waste. Mahesh Kumar A S | Rajesh A S "A Unique Technique for Solid Waste Segregation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26355.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26355/a-unique-technique-for-solid-waste-segregation/mahesh-kumar-a-s
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This document summarizes a study that used the YOLO v3 deep learning algorithm to detect waste in river flows and calculate waste intensity. Researchers collected 340 images of waste in rivers to use as a training dataset for a YOLO v3 model. The model was tested on videos of river flows and achieved 98.74% confidence in detecting waste objects. The resulting application can detect a variety of waste sizes, from small food wrappers to large objects, and count the number of waste items intersecting a drawn reference line in each video frame. This waste detection and counting system aims to help monitor waste in rivers and predict when river cleaning is needed.
Solid waste management is one of the major aspect which has to be considered in terms of making urban area environment healthier. The common dustbins placed by the municipal corporation are leading number of health, environmental and social issues. Various causes are like improper dustbin placement in city, improper system of collecting waste by City Corporation, and more specifically people are not aware enough to use dustbins in proper way. These various major causes are leading serious problems like, an unhygienic condition, air pollution and unhealthy environment creating health disease. Up till now, research has been carried out by developing a Software Applications for indicating dustbin status, another by shortest part method for garbage collecting vehicles by integrating RFID ,GSM, GIS system but no active efforts has been taken paying attention towards managing such waste in atomized way. Considering all these major factors, a smart solid waste management system is designed that will check status and give alert of dustbin fullness and more significantly system has a feature to literate people to use dustbin properly and to literate people to use dustbin properly and to automatically sense and clean garbage present outside the dustbin. Thus presented solution achieves smart solid waste management system. M. Ramyaa | Dr. Perarasi ""Waste Management System by Using IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23479.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23479/waste-management-system-by-using-iot/m-ramyaa
This document requests proposals for developing a low-cost, portable in-situ sampler for microplastics in coastal environments. It summarizes a proposal submitted by Katherine Ball to create an angular backscatter detector called m-PARR (Micro-plastic Angular Refraction Recorder) that uses the principle of light refraction to identify microplastics pumped through the device. The proposal outlines developing m-PARR in stages through summer 2016, with field testing in September to demonstrate the device's ability to sample microplastics and engage citizen scientists. The deliverables would include a functional prototype, documentation, and a field testing report.
11 9244 it canny junk system based on iot(edit ty)IAESIJEECS
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Waste organization is one of the fundamental issue that the world goes up against free of the case of made or making country. The key issue in the waste organization is that the junk canister at open spots stretches out beyond time some time as of late the start of the accompanying cleaning process. It is this way prompts distinctive dangers, for instance, horrendous aroma and disagreeableness to that place which may be the principle driver for spread of various afflictions. To avoid all such hazardous circumstance and keep up open cleanliness also, prosperity this work is mounted on a splendid decline structure. The guideline subject of the work is to develop a sagacious astute deny prepared structure for a real junk organization .This paper proposes a smart prepared structure for junk space by giving an alert banner to the common web server for minute cleaning of dustbin with honest to goodness check based on level of waste filling. This technique is bolstered by the ultrasonic sensor which is interfaced with Arduino UNO to check the level of waste filled in the dustbin and sends the alert to the common web server once if waste is filled.
This document analyzes solid waste management practices in Yavatmal city, India. It finds that the city generates 24 tonnes of solid waste per day. Food and garden waste makes up the largest portion at 47% of the waste stream. Paper accounts for 18% and inert materials 17%. The city collects waste through door-to-door collection and community bins. Waste is disposed of at a site 8 km outside the city where it is composted or landfilled. The study recommends improving waste segregation, adding transfer stations to reduce transportation costs, and increasing public awareness programs about sustainable waste management.
Capsule Neural Networks and Visualization for Segregation of Plastic and Non-...sreelakshmikombrath
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The ppt explains about a hardware setup which automatically segregates plastic and non plastic waste materials. Deep learning is the algorithm used for classification.
A review of hyperspectral imaging-based plastic waste detection state-of-the-...IJECEIAES
ย
Plastic waste issues emerged from the build-up of plastics that negatively impacts the environment. As a result, plastic waste detection is proposed in many research studies to tackle the problems. Therefore, this paper aims to review hyperspectral imaging techniques and machine learning in plastic waste detection. Hyperspectral imaging techniques are found to be effective in detecting plastic waste and microplastics as they were able to capture plastic reflectance spectral by using the near-infrared sensor. However, the review also shows that hyperspectral imaging techniques were less efficient in capturing the electromagnetic spectrum of black plastics due to carbon-black absorption properties. Carbon-black strongly absorbs light in the ultraviolet and infrared spectral range of the electromagnetic spectrum, therefore not detected by the near-infrared sensor. This paper also reviews how machine learning can alternatively detect and sort all types of waste, including plastics. Multiple studies show that the machine learning model achieved good accuracy in detecting all types of plastics based on the waste dataset. Finally, it can be seen that the spectral information of plastic can be used as feature extraction for machine learning models for better plastic detection. It is hoped that this study will contribute to more systematic research on the same topic.
IRJET- Smart Waste Segregator and Monitoring SystemIRJET Journal
ย
This document describes a smart waste segregator and monitoring system that was developed. The system uses ultrasonic sensors placed over garbage bins to detect garbage levels and compare it to bin depths. An Arduino microcontroller, LCD screen, WiFi modem, and buzzer are used. The LCD screen displays bin levels and a web page shows status to users monitoring it. This system provides automatic waste segregation to reduce manual sorting efforts and notifies users when bins are full through an alert system. It was found to work as designed after implementation and testing. Future work includes large scale implementation and improving collection efficiency based on bin status.
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Slides from โCommunities surviving, striving, thriving? A day of dialogue and actionโ - the community development conference at Goldsmiths, University of London 20-2-14 http://www.gold.ac.uk/community-engagement-research/communitydevelopmentconference/
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This document describes the development of an automated trash collecting boat using machine learning. Key points:
1. The prototype boat uses image processing and machine learning to detect garbage in water bodies. BLDC motors power movement while a conveyor belt collects trash.
2. A Raspberry Pi processes camera images using a YOLOv7 model trained to identify garbage. The boat navigates autonomously towards detected trash.
3. Initial tests showed the boat could successfully detect and collect plastic bags and boxes from water. Further improvements could enhance materials, power supply, and detection accuracy.
This document proposes an optimized waste management system using smart bins equipped with sensors. The key points are:
1. Smart bins can sense the amount of waste accumulated over time and send requests to garbage collectors when a threshold is reached. This allows for more efficient collection of waste.
2. The system aims to reduce human labor and time spent on waste collection through automation. Smart bins will monitor waste levels and notify collectors without human intervention.
3. An algorithm determines the shortest collection route for garbage trucks based on waste levels reported from the smart bins. This optimizes efficiency and reduces costs like fuel usage.
Soil quality and open science presentation april2014Tom Olijhoek
ย
This document discusses skills and knowledge related to soil science, microbiology, and sharing information openly. It covers:
- Key skills including biochemistry, geomicrobiology, and open science practices
- How soil microbes like bacteria and fungi decompose organic matter and make nutrients available to plants through the soil food web
- The roles of different soil microbes in processes like nitrogen fixation and decomposition
- The potential to discover new bacteria through astrobiology and apply findings to agriculture
- Promoting open sharing of agricultural knowledge through networks and grassroots initiatives using emerging technologies
IRJET- Top-K Query based Dynamic Scheduling for IoT-Enabled Smart City Waste ...IRJET Journal
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This document proposes a smart waste collection system for cities that uses Internet of Things (IoT) technologies. Smart waste dustbins equipped with sensors would detect waste levels and send this data via WiFi to a central web portal. If a dustbin reaches its threshold, a notification would be sent to authorities and users via a mobile app. The system aims to optimize waste collection routes for vehicles using the shortest path between full dustbins. This would make the waste collection process more efficient and help address the problem of overflowing trash bins.
Singapore University of Technology and Design - November 2016 HighlightsNurhazman Abdul Aziz
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The document provides information about resources available through the SUTD library related to publishing and research. It highlights access to the Nature platform of scientific journals, e-books published by SUTD authors, journals SUTD authors have published in, and example research topics covered by resources in the library. It also provides data on SUTD's publications and authors through Springer Nature, including over 250 articles, 150 publications, and 600 authors.
Similar to LIZARD: Pervasive Sensing for Autonomous Plastic Litter Monitoring (20)
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Huber Flores presented research on developing AI sensors and dashboards to gauge and monitor the trustworthy properties of AI systems. The sensors would measure properties like fairness, explainability, and performance. A dashboard would display readings from the sensors to provide transparency into how well an AI system satisfies properties like fairness, accuracy, and resilience. The sensors and dashboards aim to help testers, developers, and auditors ensure AI systems operate as intended and without unintended harms or biases.
This document summarizes a study on requirement management tools for developing modern AI-based software. The study evaluated several open-source requirement management tools based on criteria such as extensibility, traceability, and GDPR compliance. While open-source tools provide flexibility, they often lack detailed documentation and the ability to handle regulatory requirements. Additionally, no single tool could adequately capture AI requirements from different stakeholder perspectives. The study concludes that developing trustworthy AI involves coordination among multiple groups, which current tools do not fully support.
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The document presents a framework for low-cost produce quality monitoring at scale using repurposed IoT sensors and drones. It combines an off-the-shelf light sensor and nano-drone to estimate quality by measuring light reflectivity from produce surfaces over time. Evaluation showed the integrated solution can accurately capture decomposition of fruits and vegetables, providing a low-cost alternative to traditional monitoring methods. The framework reduces costs, improves scalability for digital agriculture applications like quality monitoring in greenhouses.
This document discusses using low-cost sensors for environmental monitoring applications. It notes that while low-cost sensors can improve the spatial and temporal resolution of data collection, there are also challenges throughout the sensing pipeline, from sensor calibration to data accuracy. Machine learning models can help improve sensor calibration and accuracy. The document provides examples of applications like air quality monitoring and discusses open challenges.
This document evaluates the performance of dead reckoning techniques for underwater navigation. It benchmarks 15 dead reckoning algorithms using an IMU and compares their accuracy on land versus underwater. The results show that displacement and attitude estimation errors are generally lower underwater compared to similar trajectories on land. Warp estimations like spirals and squares also have lower errors when performed underwater rather than on the ground. The document concludes that dead reckoning can be used underwater with around 5% error for displacement and turning, and its performance depends on the motion pattern and algorithm used.
The document presents HIPPO, a new system for pervasively estimating hand-grip strength through everyday interactions. HIPPO uses low-cost red light sensors to measure changes in light pressure when a hand grips various objects. An experiment compares HIPPO to dynamometers and pressure plates, finding HIPPO estimates strength accurately, especially when sensors are on the little finger. HIPPO also ranks as the most comfortable and easiest to use for continuous health monitoring through ubiquitous daily interactions.
Hedgehog is a new system that uses optical sensors in wearables to identify drink spiking. It demonstrates that drink characteristics can be characterized using light reflectivity patterns. Evaluation shows Hedgehog can accurately detect drink spiking under different conditions like indoor/outdoor lighting. Ongoing work aims to generalize detection to different drink types and environments where ambient conditions frequently change.
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Collaborative Software Development discusses software development methodologies and practices for collaborative development. It outlines eliciting functional and non-functional requirements, designing mockups and documentation, using version control and issue tracking tools to plan releases, and automating builds and tests. Examples are provided of using GitHub for version control, Heroku for deployment, and Greenhouse for continuous integration and automation testing.
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This document summarizes a seminar on cloud-based mobile networking. The seminar objectives are to understand how mobile computing, cloud computing, and networking converge, and to learn how a cloud-aware approach can benefit different network components by saving end points' energy. Students will study this topic through a case study, readings, and analyzing a dataset collected from mobile networks. The work will be done and shared on GitHub, and there will be no exams - grading will be based on GitHub contributions and deliverables. Students are asked to send their GitHub username to the instructor to get access to materials and an initial reading.
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"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analyticsโ feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
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The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
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Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
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These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
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(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
BรI TแบฌP Bแป TRแปข TIแบพNG ANH 8 Cแบข NฤM - GLOBAL SUCCESS - NฤM HแปC 2023-2024 (Cร FI...
ย
LIZARD: Pervasive Sensing for Autonomous Plastic Litter Monitoring
1. LIZARD: Pervasive Sensing for Autonomous
Plastic Litter Monitoring
Farooq Dar, Mayowa Olapade, Abdul-Rasheed Ottun, Zhigang Yin,
Mohan Liyanage, Agustin Zuniga Monica Passanantti, Sasu
Tarkoma, Petteri Nurmi, Huber Flores
1
May 14, 2024, CPS-IoT Week, Hong Kong
2024
2. Importance
โข Plastic pollution is a global concern.
โข Pollution is detrimental to human health and natural ecosystems
2
Source: https://rochmanlab.wordpress.com/2019/10/11/cleaning-up-our-
hidden-shorelines/
Source: https://www.eenews.net/articles/plastic-makes-up-81-of-trash-in-
national-parks-report-says/
Poor practices
Source: https://www.nationalgeographic.com/science/article/15092-
plastic-seabirds-albatross-australia
Preventing the pollution caused by plastics is extremely important
Animal ingestion Cleaning may too late
3. Finding plastics and fast removal
โข Visual inspections (humans) and object recognition fail to identify
plastics as they get smaller
3
Source: https://www.scientificamerican.com/article/from-fish-to-humans-a-
microplastic-invasion-may-be-taking-a-toll/
Food chain
How to identify plastic particles?
Source: https://www.scientificamerican.com/article/microplastics-linked-to-
heart-attack-stroke-and-death/
Degradation estimates suggest
that humans can
ingest up to a credit
card worth of micro-
plastics each week
Mohamed Nor, N. H., Kooi, M.,
Diepens, N. J., & Koelmans, A. A.
(2021). Lifetime accumulation of
microplastic in children and
adults. Environmental science &
technology, 55(8), 5084-5096.
4. Automated solutions
โข Litter cleaning campaigns
โช Visual, smartphone apps (Citizen science)
โข Vehicles
โช Automated sweepers, vacuum-cleaners
4
Source: https://www.khmertimeskh.com/50937897/caring-citizens-
residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/
Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/
Source:
https://www.alamy.
com/stock-
photo/street-
vacuum-
cleaner.html?sortB
y=relevant
Current solutions can identify
plastics (to some extent) but
only larger sizes.
5. Automated solutions
โข Litter cleaning campaigns
โช Visual, smartphone apps (Citizen science)
โข Vehicles
โช Automated sweepers, vacuum-cleaners
5
Source: https://www.khmertimeskh.com/50937897/caring-citizens-
residents-join-to-clean-litter-on-streets-and-parks-in-kingdom/
Source: https://www.dawsongroupemc.co.uk/the-benefits-of-a-sweeper/
Source:
https://www.alamy.
com/stock-
photo/street-
vacuum-
cleaner.html?sortB
y=relevant
Current solutions can identify
plastics (to some extent) but
only larger sizes.
7. LIZARD (Contributions)
โข Low-cost sensing solution: LIZARD uses dual sensing modality
(thermal imaging and light sensing) to detect different (sizes of)
plastics.
โข Rigorous evaluation: Performance evaluation in different urban
locations
โข New insights: Factors influencing the identification of plastic
particles in the wild
7
29. Summary and conclusions
โข Low-cost sensing solution: LIZARD uses dual thermal imaging and
light sensing to detect different sizes of plastic particles
โข Rigorous evaluation: Performance evaluation in different urban
locations
โข New insights: Factors influencing the identification of plastic
particles in the wild
29