All posts by Abhilash Shukla

๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—ฆ๐˜‚๐˜€๐˜๐—ฎ๐—ถ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐ŸŒฑ with Technology | AIML, IoT, Big Data, Digital Transformation | ๐—ง๐˜‚๐—ป๐—ฒ ๐˜๐—ผ ๐—บ๐˜† ๐—ฆ๐—ฝ๐—ผ๐˜๐—ถ๐—ณ๐˜† & ๐—”๐—ฝ๐—ฝ๐—น๐—ฒ ๐—ฃ๐—ผ๐—ฑ๐—ฐ๐—ฎ๐˜€๐˜ ๐—ผ๐—ป ๐—–๐—น๐—ถ๐—บ๐—ฎ๐˜๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ โ›ˆ

Digital Twins: Advancing Mining Efficiency & Environmental Impact

Digital twins are a revolutionary technology with the potential to redefine how industries like mining operate and approach environmental safety. With the world increasingly emphasizing sustainable mining practices, it’s no surprise that mining companies are turning to this transformative technology to minimize environmental impacts and enhance safety.

Unveiling the Sequence of Interaction: Harnessing the Power of Digital Twins for Sustainable Mining Operations
Unveiling the Sequence of Interaction: Harnessing the Power of Digital Twins for Sustainable Mining Operations

The concept of digital twins isn’t new. Its roots trace back to the Apollo space missions, where NASA used duplicate systems to troubleshoot problems remotely. Today, this concept has been supercharged by advanced computational modeling and Internet of Things (IoT) technology to form digital twins. These virtual models mirror the physical world in real-time, providing a wealth of data for analysis and predictive modeling.

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Influence of Big Data on Disaster Prediction and Management

The increasing severity of global climatic disasters in recent years has highlighted the importance of advanced data analysis for effective disaster prediction and management. A significant player in this arena is Big Data. As we generate massive amounts of data daily, harnessing this Big Data has become crucial to making informed decisions, especially in the face of potential disasters.

Harnessing the Power of Big Data in Disaster Scenarios: From Data Sources to Decision-Making
Harnessing the Power of Big Data in Disaster Scenarios: From Data Sources to Decision-Making

The Role of Big Data in Disaster Scenarios

Big Data refers to voluminous data sets so large and complex that they require advanced computational systems to process. These data can be both structured and unstructured, containing valuable insights. In disaster scenarios, Big Data provides the ability to predict, manage, and mitigate disasters more effectively.

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Repurposing $1 trillion in fossil fuel subsidies towards sustainability

The government gives a lots of subsidies on the fossil fuels every year – more than a trillion dollars in 2022! But using fossil fuel also causes problems for the environment and people’s health, which end up costing over 5 trillion dollars a year. Considering the challenges that today’s world is facing, there are other more effective alternatives towards which these billions and trillions of dollar should be diverged to, i.e. towards more sustainability driven initiatives.

Studies have found that air pollution from fossil fuels causes around 8.7 million early deaths each year. Plus, it’s messing up the climate big time. It’s a huge number, and it means that the fossil fuels when subsidized result in the suffering of humans from the bad health and environmental issues, which must be stopped. So, it’s high time to change our priorities and put our money into renewable energy like wind, solar, and hydro power. It will not only help us in the fight against the changing climate, but it’ll also create new jobs for us. Ideally, we should use this cash to create a more sustainable future for everyone.

Also, to set things in a more clear perspective before I start putting in my thoughts on how we can repurpose it is that, if we factor in the social cost of carbon (SCC), estimated at around $50 per ton of CO2, we can see the true impact of these subsidies. With $1 trillion in fossil fuel subsidies, we’re indirectly supporting the emission of around 20 billion tons of CO2. So, my intent in this blog is to give my own perspective, that is my individual perspective on different ways we could utilize this fund in a much better way. And I would love to hear your perspectives in the comment, or maybe your ideas.

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Green Airplanes – the flight towards a sustainable future

I hope you’re also very much excited to dive into the world of green and sustainable airplanes. We all know that the carbon footprint of the aviation industry is very much talked about when we speak carbon footprints. This blog, will explore the challenges, technological advancements, and policy-level impacts that are we should look into to understand what and how the transition towards a more sustainable future in air travel. So, fasten your seatbelts and get ready for an eco-friendly ride through the skies!

Let’s start with the elephant in the room – the carbon emissions of airplanes. According to the International Council on Clean Transportation, aviation accounted for roughly 2.4% of global CO2 emissions in 2018. With air travel becoming more affordable and accessible, this figure is expected to grow if no action is taken.

The biggest challenge is in reducing the carbon footprint of airplanes is the heavy reliance on fossil fuels. Kerosene is the primary fuel used in aviation and it releases a considerable amount of CO2 when burned. Having said that, the challenge lies in finding viable alternatives that can match the energy density and reliability of traditional fuels.

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Powering Porsche Taycan entirely with Solar, the Dream Machine?

Hey there, fellow speed enthusiasts and eco-warriors! Do you ever dream of driving a sleek, high-performance sports car that’s as green as it is fast? Well, buckle up, because today we’re going on a wild ride to explore the possibility of a solar-powered Porsche Taycan. We’ll delve into the infrastructure needed, the practicality and feasibility of such a concept, the challenges we might face, and the overall problems we need to tackle to make this dream a reality. So, let’s put the pedal to the metal and get this show on the road!

“Electric cars are not going to take over the world tomorrow or the day after, but thatโ€™s simply because they are not yet as good as gasoline-powered cars. The key for electric cars is that they have to be more convenient and less expensive to operate than gasoline cars.”

Elon Musk
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India’s Circular economy, the secret to resource and sustainability

Known for its resourcefulness and thriftiness, India is home to many diverse cultures and traditions. Because of its limited resources and growing population, the country has long recognized how important it is to conserve resources and promote sustainable practices. For centuries, India has practiced circular economy principles in various ways. It’s not a new concept in India. For instance, in India, repurposing kitchen waste is a common practice. For centuries, it has been practiced in different forms. Organic fertilizer for agriculture is made from this waste, and it’s turned into compost.

Using a circular economy minimizes waste, optimizes resource use, and promotes sustainability. Circular economies are different from linear economies, in which raw materials are extracted, processed, used, and then thrown away as waste. In general, the circular economy emphasizes repairing, refurbishing, and recycling materials so they can be reused for as long as possible. Three key principles of the circular economy: reducing waste and pollution, preserving products and materials for a long time, and regenerating nature.

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Digital Transformation in Medical Science using Data Intelligence

Digital transformation has been a buzzword in many industries, including healthcare, for several years. The application of data intelligence is a key component of this transformation, particularly in the medical science field. Data intelligence in healthcare refers to the analysis and interpretation of data collected from various sources such as medical records, clinical trials, and patient-generated data. In this blog, we will discuss the use cases of data intelligence in medical science, the problems it solves, and the statistics and facts associated with it.

Understanding the basic problem

One of the biggest problems in medical science is the vast amount of data that is generated every day. Traditional methods of data analysis are time-consuming and cannot keep up with the volume and complexity of data. Data intelligence solves this problem by using machine learning and artificial intelligence algorithms to analyze large datasets quickly and accurately. This is like using a microscope to look at the stars – the traditional methods of data analysis would take too long to be effective, but with data intelligence we can make sense of it all quickly and accurately, just like a microscope allows us to see the stars in all their detail.

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India’s challenges & opportunities – Article 6, Paris Agreement

India’s big step towards tackling the climate crisis by committing to the Paris Agreement is not shadowed on the international forums. Our country has made several ambitious targets to reduce its carbon footprint and increase its use of clean energy. But, as a developing country, we need support from the developed nations to achieve these targets. And, let me tell you, we are making progress, but still, there are areas where more efforts are needed. We need to speed up our efforts to fulfill our commitments and make this planet a better place for future generations.

India’s commitment towards Article 6 of the Paris Agreement

Let me tell you something, India’s aspiration and promising attitude to show the world in the fight against climate change has already caught the limelight in at the event of the Article 6 of Paris Agreement. To strengthen cooperation and support for global action, India has committed to the following initiatives:

Initiative TypeTarget
Renewable Energy175 GW of installed renewable energy capacity by 2022
Energy EfficiencyEnergy equivalent to 20% of the total energy consumption by 2020
Transportation30% of electric vehicles on the road by 2030
Industrial ProcessesReduce the emissions intensity of GDP by 33-35% by 2030 from 2005 level
ForestCreate a carbon sink of 2.5 to 3 billion tonnes of CO2 equivalent through additional forest and tree cover by 2030
Waste ManagementProcess 100% of municipal solid waste by 2023
AgricultureIncrease carbon sequestration in agriculture and allied sectors by 2.5 to 3 GtCO2e by 2030
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Revealing the transformative potential: Article 6 of Paris Agreement

Article 6 of the Paris Agreement pertains to the cooperation between Parties in the implementation of the Agreement. It includes provisions for the use of internationally transferred mitigation outcomes (ITMOs) towards achieving nationally determined contributions (NDCs) and the creation of a mechanism to contribute to the mitigation of greenhouse gas emissions and support sustainable development. It also establishes a framework for cooperation on, and facilitation of, capacity-building, and transparency of action and support. This Article is one of the key mechanisms to achieve the goal of the Paris Agreement to limit global warming to well below 2 degrees Celsius above the pre-industrial level and pursue efforts to limit the temperature increase even further to 1.5 degrees Celsius.

Countries with potential to help fellow countries as per Article 6 of the Paris agreement

The Paris Agreement, a historic pact signed by nearly 200 countries, emphasizes the importance of international cooperation in tackling this global crisis. Under Article 6, countries are urged to collaborate and support each other in reaching their climate targets.

In the below context, I am trying to drill down the nations that hold the potential to be instrumental in helping other countries reduce their carbon footprint and create a greener tomorrow. Whether through investments in sustainable energy sources, the development and export of low-carbon technologies, or the reduction of dependence on fossil fuels, these nations are poised to make a significant impact in our fight against climate change.

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Unveiling climate models for predicting the Earth’s grim future

Dear readers, this article expects you to have reasonable understanding of climate and environment as the topic is quite advanced in its nature. Let us delve into the realm of Climate Models, a crucial aspect in comprehending and forecasting the alterations of our beloved planet, Earth’s climate. These models, like a symphony, simulate the interplay between the atmosphere, ocean, land, and sea ice. They serve as seers, predicting the future changes in temperature, precipitation, sea level and other climate variables.

The Representative Concentration Pathways (RCPs) offer a glimpse into the future, portraying the potential greenhouse gas emissions and their impact on our climate. The results obtained from diverse climate models, through the lens of RCP scenarios, paint a consistent picture of warming, primarily caused by human actions. Though the projections may carry some degree of uncertainty, the overall trend aligns with observational data and the historical records of our planet’s climate.

There are many different models that have been developed to simulate and understand the Earth’s climate. These models are used to project future changes in temperature, precipitation, sea level, and other climate variables based on different scenarios of greenhouse gas emissions. Let’s look at some of the models first:

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