1 Environmental Sustainability Ws Tony Vetter
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The document discusses how mobile applications can promote environmental sustainability. It describes several examples of applications that use mobile phones to track wildlife, engage citizens in environmental activism and monitoring, and enable participatory urban sensing projects. Some challenges to wider adoption are ensuring privacy, accuracy of data, and preventing misuse of sensor systems. Mobile technologies are a promising tool to address sustainability issues through observation, public engagement, and coordinated action on environmental threats.
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Smart Garbage Monitoring System using Internet of Things
Internet of Things (IoT) can play a major role in keeping the city of Accra clean, greener, more efficient, and safer. This paper proposed a smart garbage collection on the grounds of level of garbage present in the dustbin. This study tries to present a garbage collection management solution based on providing intelligence to dustbin using IoT prototype with sensors. This system would help to maintain cleanness of the streets of Accra Ghana by sending signals through a sensor to a garbage collection unit alerting this unit of the collection of the garbage as and when the dustbins are full. The extreme programming (XP) method was used in building the system which uses ultrasonic sensors placed in the lids of the bins to detect the garbage level and compare it with the garbage bins depth. The system makes use of AVR family microcontroller, LEDs, a SIM800L GSM/GPRS Module and was powdered by a 12V transformer. It was found out that the use of this system assisted in identifying places or areas where garbage bins are full for collection and disposal. It was also found out that waste management companies that adapted the use of this system were achieving their goals of collecting bins at the right time as compare to companies that were not making use of such technology. It was concluded that waste management companies using the system perform better in terms of picking up bins that were full due to the signals received at any point in time which has made in Accra Ghana a community without garbage bins over flowing with rubbish.
AI.pptx
AI can help address many environmental challenges through applications such as detecting deforestation, monitoring ocean health, enabling smart agriculture, improving weather forecasting and disaster response, reducing traffic and optimizing transportation. However, AI systems also have substantial energy and carbon footprints. There are also risks such as a lack of explainability, deep learning errors, security and control issues, economic risks and potential unethical outcomes. Overall, AI shows promise for environmental sustainability goals if developed and applied responsibly.
Green it
This document provides an introduction to the concept of Green IT. It discusses how information technology and environmental issues are intersecting in various ways. Green IT explores how IT can be used to address environmental sustainability concerns. While IT has its own environmental impact, its potential positive benefits are estimated to be five times greater. Green IT involves using IT across many sectors of society to help make them more environmentally friendly, as well as making the IT industry itself more sustainable. The goal is to help humans and ecosystems achieve a state of sustainability through the use of information technology.
A STUDY ON LEA AND SEED ALGORITHMS FOR DATA PROTECTION OF SMARTPHONE BASED DI...
The number of disaster occurrences around the world based on the climate changes due to the global
warming has been indicating an increase. To prevent and cope with such disaster, a number of researches
have been actively conducted to combine the user location service as well as the sensor network
technology into the expanded IoT to detect the disaster at early stages. However, due to the appearance of
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- The Internet of Things and how it relates to smart environments and applications.
- Key emerging technology trends from Gartner to watch.
- Examples of sensor and big data systems like a real-time hospital monitoring system that tracks patients and aids medical decision making.
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This document discusses the work of InSTEDD, a nonprofit organization that aims to improve global health and development through technology. It outlines InSTEDD's vision, mission, and values, which include building local capacity for innovation, creating collaboration technologies, collaborating with end users, and ensuring usefulness and impact. The document describes some of InSTEDD's projects, such as a birth complication data collection device in Sierra Leone and an innovation lab in Phnom Penh. It also discusses principles of agile design, empowering communities with information, architecture considerations, and the value of sharing knowledge and inspiring different perspectives.
Internet of things iot based real time gas leakage monitoring and controlling
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Internet of things iot based real time gas leakage monitoring and controlling
As the majority of the people in India uses Liquefied Petroleum Gas (LPG) as a fuel for
cooking, but in India the technology applied in this field (security) is very less. Liquefied petroleum
gas is a flammable gas, which has the potential to create a hazard. Therefore it is important that the
properties and safe handling of LPG are understood and applied in the domestic and
commercial/industrial situations.
The proposed paper is aimed at developing a prototype that constantly monitors the gas leak
with the help of the electronic sensors. This data is made available real time through real time feeds
over the internet. We intend to use Xively (new platform) to feed real time sensor data over the
internet. The sensor monitors, detects and raises an alarm whenever a gas leak or fire broke out
condition is detected. Then it raised an emergency alarm. The emergency alarm condition can be
handled through proper arrangement and alert message to rescue team, which could be an in house
rescue team. Based on the real time data feed connected to Xively, user can easily look at the history
of data and accurately determine the time and date at which emergency condition occurred. This data
helps in easily locating the root cause of the emergency condition occurred. This data helps in easily
locating the root cause of the emergency condition. So that one can know the complete detail of the
hazard.
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The increased level of air pollution in big cities has become a major concern for several organizations and authorities because of the risk it represents to human health. In this context, the technology has become a very useful tool in the contamination monitoring and the possible mitigation of its impact. Particularly, there are different proposals using the internet of things (IoT) paradigm that use interconnected sensors in order to measure different pollutants. In this paper, we develop a systematic mapping study defined by a five-step methodology to identify and analyze the research status in terms of IoT-based air pollution monitoring systems for smart cities. The study includes 55 proposals, some of which have been implemented in a real environment. We analyze and compare these proposals in terms of different parameters defined in the mapping and highlight some challenges for air quality monitoring systems implementation into the smart city context.
Ambient Intelligence seminar report made by Shifali Jindal
Ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to human presence. Key technologies that enable AmI include ubiquitous computing, ubiquitous communication, and intelligent user interfaces. As devices become smaller, more connected and integrated into our environment, the technology disappears into our surroundings until only the user interface remains. AmI has applications in smart homes, healthcare, public transportation, and education by embedding intelligence and sensors into environments to automatically adapt to and assist users. Realizing the full vision of AmI will require overcoming challenges around privacy, security, and developing natural human-computer interaction.
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1 Environmental Sustainability Ws Tony Vetter
- 1. Mobile applications for Environmental Sustainability Tony Vetter, Project Officer, Knowledge Communications October 14, 2008
- 4. ICT Effects Source: ETNO & WWF, 2007, “Saving the Climate @ the Speed of Light”
- 8. Mobiles – “technically feasible to connect the world” http://www.itu.int/ITU-D/ict/statistics/
- 17. THANK YOU Tony Vetter - Project Manager, Knowledge Communications Program E-mail: tvetter@iisd.ca