SELF PACED COURSE ON GIS AND REMOTE SENSING

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COVERS ALL THE RELEVANT TOPICS UNDER GIS AND REMOTE SENSING AFTER FINISHING THIS COURSE, YOU WILL BE ABLE TO : DIGITIZE TOPOSHEETS OR MAPS YOU CAN REPRESENT GEOSPATIAL INFORMATION YOU CAN PROCESS IMAGES AND EXTRACT FEATURES FOR FURTHER DATA RETRIEVAL COURSE COMPRISES OF FOUR PARTS : DIGITIZATION,ATTRIBUTE TABLE CREATION,CONVERSION OF SHAPEFILES, AND REMOTE SENSING. EACH COURSE IS EXPLAINED WITH AN EXAMPLE. Contact us at editor.at.baipatra.ws or enroll for the course at https://innovated.gumroad.com/l/ZZZyg

Engineering

SELF PACED COURSE ON
GIS AND REMOTE SENSING
• COVERS ALL THE RELEVANT TOPICS UNDER GIS AND REMOTE
SENSING
• AFTER FINISHING THIS COURSE, YOU WILL BE ABLE TO :
• DIGITIZE TOPOSHEETS OR MAPS
• YOU CAN REPRESENT GEOSPATIAL INFORMATIONS
• YOU CAN PROCESS IMAGES AND EXTRACT FEATURES
FOR FURTHER DATA RETRIEVAL
• COURSE COMPRISES OF FOUR PARTS :
DIGITIZATION,ATTRIBUTE TABLE CREATION,CONVERSION OF
SHAPEFILES AND REMOTE SENSING.
• EACH COURSE EXPLAINED WITH AN EXAMPLE.
Click Here or Contact us at editor.at.baipatra.ws or Scan the QR

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Ant Colony Optimization is a metaheuristic algorithm inspired by the foraging behavior of ants. It involves simulating the way ants communicate and cooperate to find the shortest path between their nest and a food source. History of Ant Colony Optimization Ant Colony Optimization was first introduced by Marco Dorigo in the early 1990s, drawing inspiration from the pheromone trails that ants use to communicate with each other. Since then, it has been successfully applied to various optimization problems in computer science and engineering. It has proven to be particularly useful in solving routing problems, such as the traveling salesman problem. Ant Colony Optimisation has been used in a wide range of applications, including routing optimisation, scheduling problems, and vehicle routing. By mimicking the collaborative and decentralised nature of ant colonies, this algorithm has proven to be effective in finding optimal solutions to complex problems. For example, in routing optimisation, Ant Colony optimisation can be used to find the most efficient path for data packets to travel through a network by simulating how ants find the shortest path to a food source. This can help improve network efficiency and reduce congestion. Additionally, in vehicle routing applications, the algorithm can be used to optimise delivery routes for multiple vehicles by mimicking how ants communicate and coordinate with each other to efficiently explore and exploit different routes. This can ultimately lead to cost savings and faster delivery times. HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Subscribe to “Books and Items from Soft Computing and Engineering”(InnovateS) https://innovates.gumroad.com/subscribe Promote Books and Items from Soft Computing and Engineering”(InnovateS) and Earn Money https://innovates.gumroad.com/affiliates Seven Metaheuristics to Learn for your Next Data Science Project https://innovates.gumroad.com/l/metaheuristic Introduction to Model Development for Prediction, Simulation, and Optimization. https://imojo.in/1DJDUzm

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Smart agriculture, also known as precision agriculture, refers to the integration of advanced technologies and data analytics in agricultural practices to enhance productivity, efficiency, and sustainability. It involves the use of sensors, drones, satellite imagery, and Internet of Things (IoT) devices to collect real-time data on soil conditions, weather patterns, crop growth, and livestock health. By analyzing this data, farmers can make informed decisions regarding irrigation schedules, fertilizer application, pest control measures, and overall resource management. This transformative approach to farming not only maximizes yields but also minimizes environmental impact by optimizing resource utilization and reducing waste. Startups play a crucial role in the agricultural sector by driving innovation and introducing new technologies that can revolutionize farming practices. These startups bring fresh ideas and solutions to address the challenges faced by farmers, such as increasing productivity, reducing costs, and ensuring sustainable practices. With their agility and entrepreneurial spirit, startups can quickly adapt to market demands and collaborate with farmers to develop customized solutions that meet their specific needs. Additionally, startups can also create job opportunities in rural areas and contribute to economic growth in the agricultural sector. The purpose of this essay is to explore the role of startups in revolutionizing farming practices and the potential benefits they bring to the agricultural sector. By introducing new technologies and innovative solutions, startups can help farmers overcome challenges and achieve greater productivity while promoting sustainability. Additionally, the essay aims to highlight how startups can contribute to rural development by creating job opportunities and driving economic growth in farming communities.

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Archimedes introduced fluid mechanics, an ancient Greek concept, around 250 BC. The first law of fluid mechanics, the conservation of mass, states that mass is conserved within a control volume for constant-density fluids. In his 1687 Principia, Isaac Newton, an ancient Greek, described fluid viscosity for the first time. Fluid dynamics can be traced back to Leonardo da Vinci, who studied at Plato's Academy. The Reynolds theory of fluid mechanics explains how mass and viscosity interact. Subscribe to hydrogeek.substack.net to receive more such information

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Casestudy on Vulnerability Analysis of Wetlands under Changed Climate Scenarios with the help Water Cycle and Poly-Neural Networks. Select the factors from literature and stakeholders survey to identify the most significant factors. Separate these into two groups : i)One group is for Reliability Enhancing Factors(R) ii)Another group is for Risk Enhancing Factors(r) Find the weightage of importance of each factors of each group with respect the impact of climate change on them. Use the Analytical Hierarchy Process Multi Criteria Decision Making method to determine the weightage. Here Climate Variables like Rainfall and Evapotranspiration can be selected as the criteria and all the factors as the alternative. Determine the weightage one group at a time. Now place the sum of the value of the Reliability Enhancement Factors, (each multiplied with their weightage of importance) in Numerator and the sum of the value of Risk Enhancing Factor (each multiplied with their weightage of importance) in the Denominator. To get the complete instructions enroll for the internshp at energyinstyle.website

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1. The significance of addressing water and sanitation issues in developing countries: Explore how recent special issue calls for papers on water and sanitation reflect the urgent need to address these challenges in developing countries, where access to clean water and proper sanitation facilities is limited. 2. Examining innovative solutions: 3.Analyze the recent special issue calls for papers on water and sanitation to understand the emphasis on exploring innovative approaches and technologies that can improve access to clean water and sanitation facilities in developing countries. 4. Highlighting the impact on health and well-being: Shed light on the detrimental effects of inadequate water and sanitation on the health and well-being of individuals in developing countries. The special issue calls for papers aim to draw attention to the urgent need for action in order to prevent diseases and improve overall quality of life. 5. Encouraging collaboration and knowledge sharing: Emphasize the importance of collaboration between researchers, policymakers, and practitioners in finding sustainable solutions to water and sanitation challenges. The special issue calls for papers provide a platform for sharing knowledge, experiences, and best practices, fostering a global dialogue on addressing these pressing issues. 6. Promoting sustainable development goals: Discuss how the special issue calls for papers align with the United Nations Sustainable Development Goals 7.Emerging technologies for improving water quality: Discuss the latest research trends highlighted in the most recent special issue calls for papers, focusing on innovative technologies that aim to enhance water treatment processes and ensure better-quality drinking water for communities worldwide. 8. Sustainable approaches Special Issues are available in different journals

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1. Develop a smart irrigation system that utilizes sensors and data analytics to optimize water usage in agricultural fields, reducing water waste and improving crop yields. 2. Create a platform that connects farmers with precision agriculture technologies, such as drones and satellite imagery, to provide real-time monitoring and analysis of crop health and productivity. 3. Design a mobile application that enables farmers to remotely monitor and control their farm operations, including temperature, humidity, and nutrient levels in greenhouse environments. 4. Build an automated livestock monitoring system In agricultural fields, data analytics is being used to optimise water usage, reduce waste, and increase crop yields. This technology is being combined with precision agriculture technologies to enable farmers to remotely monitor and control their farm operations. But this article is not about the above ideas of starting startups but something more innovative is discussed.

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These special issue calls provide a unique opportunity for researchers and practitioners to contribute their work and contribute to the growing body of knowledge in hydro and energy informatics. Don't miss out on this chance to showcase your research and make a significant impact in these rapidly evolving fields. Discover cutting-edge research in hydro and energy informatics through seven exciting special issue calls by leading academic journals in the field. These special issue calls offer a platform for experts to share their innovative findings and insights, fostering collaboration and pushing the boundaries of hydro and energy informatics. Embrace this opportunity to stay at the forefront of advancements and contribute to shaping the future of these dynamic disciplines. Subscribe to hydrogeek.substack.net to receive more such articles.

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An introductory explanation regarding the water cycle algorihtm.Complete tutorial can be found at www.baiatra.ws.The Water Cycle Algorithm is a nature-inspired optimization algorithm that mimics the movement and transformation of water in the Earth's hydrological cycle. It is based on the principles of evaporation, condensation, precipitation, and infiltration. This algorithm has gained popularity in solving complex optimization problems due to its ability to efficiently explore and exploit search spaces. This algorithm is another famous metaheuristics or nature-based optimization technique proposed by Ali Sadollah in the year of 2015. This video is a part of the BOT Membership available at : https://innovates.gumroad.com/l/optimization_techniques Also, you can subscribe to me at hydrogeek@substack, Participate in completing the course on Optimization at baipatra.ws or an internship on energyinstyle.website

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Free subscribers can only access Hydro Geek content for two weeks after it has been posted.Paid Subscribers do not have these limitations. Free subscribers are unable to leave comments on any of the posts, but paid subscribers can. The Restricted Post with premium content (posted just once per week) cannot be read by Free Subscribers. Paid Subscribers are permitted to notify our subscribers of their opportunities once per month.Free Subscribers lack this authorization, while Founding Members are permitted to post announcements twice a month. Paid subscribers also get a flat 25% discount on new publications like journals, books, and reports.

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Outlier detection is a method used to identify outliers in data, such as power consumption in non-residential buildings, online leakage detection in water distribution systems, and efficient water quality prediction systems. It is also used in healthcare fraud, coastal water temperature data, and monitoring water quality data. The method has been applied in various case studies, such as a survey, healthcare fraud, and fault detection for circulating water pumps. It is also used in acoustic feature-based leakage event detection for large-scale water distribution networks.

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Start-ups can offer services for identifying ideal locations for virtual and green water harvesting tanks. Real-time monitoring of water levels is provided, ensuring optimal water management. Water classifiers, developed using water quality sensors, separate green water from virtual water, ensuring automatic detection of water use. Leak detection in irrigation pipelines or water tanks can save thousands of dollars and prevent major disasters. Non-linear AI-based computer models can predict the availability of virtual and green water, ensuring the watershed is well-stocked. These services can help optimize water management and reduce costs associated with traditional water sources.

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What is MAUT? “Multi-attribute utility theory (MAUT) combines a class of psychological measurement models and scaling procedures which can be applied to the evaluation of alternatives which have multiple value relevant attributes.”Von Winterfeldt and Fischer (1975). Some example applications of MAUT in Water Resource Management? Feeny, David, William Furlong, George W. Torrance, Charles H. Goldsmith, Zenglong Zhu, Sonja DePauw, Margaret Denton, and Michael Boyle. "Multiattribute and single-attribute utility functions for the health utilities index mark 3 system." Medical care 40, no. 2 (2002): 113-128. Zheng, Yong, and David Xuejun Wang. "Hybrid Multi-Criteria Preference Ranking by Subsorting." arXiv preprint arXiv:2306.11233 (2023). Lopes, Yuri Gama, and Adiel Teixeira de Almeida. "Assessment of synergies for selecting a project portfolio in the petroleum industry based on a multi-attribute utility function." Journal of Petroleum Science and Engineering 126 (2015): 131-140. Anand, Adarsh, Mohini Agarwal, Deepti Aggrawal, Laurie Hughes, Parisa Maroufkhani, and Yogesh K. Dwivedi. "Successive generation introduction time for high technological products: an analysis based on different multi-attribute utility functions." Environment, Development and Sustainability (2022): 1-18.

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Hydro informatics is a subject that deals with the application of Data Science and ICT to Water Resource Development. The Master’s course is a two years interdisciplinary degree where Civil, Electrical, Mechanical, etc. can apply. Admission is through CCMT 2023 and DASA 2023. You will learn the following techniques after completion of the course : Multi-Criteria Decision Making Techniques like AHP, ANP, ELECTRE, PROMETHEE, etc. Water Related Instruments like River Surveyor, Micro ADV, Multi-Parameter Water Quality Sensor Decision Tree Algorithms Geographical Information System and Image Processing Optimization Techniques including Bio-Inspired Optimization Techniques Artificial Neural Networks (ANN) including Polynomial Neural Networks Internet of Things and their applications in Water Resource Development. The course also includes one-year real-life project opportunities.

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Increased aeration of the soil; Stabilized soil structure; Higher and more diversified crop production; Better workability of the land; Earlier planting dates; Reduction of peak discharges by an increased temporary storage of water in the soil decomposition of organic matter; soil subsidence; reduced irrigation efficiency; increased risk of drought. excessive leaching of valuable nutrients from the soil; downstream environmental damage by salty or otherwise polluted drainage water; the presence of ditches, canals, and structures impending accessibility and interfering with other infrastructural elements of the land.

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