Javed Akhtar Barbhuiya

3d printed UAV achieving figure-of-eight flight path with maximum altitude 450 meter https://lnkd.in/dpT2PafN This project details a groundbreaking achievement by graduating students at the United Arab Emirates University (UAEU), who have successfully designed and manufactured two 3D-printed unmanned aerial vehicles (UAVs) capable of executing a figure-of-eight flight path while tracking each other. The UAVs reached a maximum altitude of 450 meters, demonstrating advanced aerial maneuverability, coordination, and stability. The UAVs were constructed using a Creality 3D printer, which facilitated precise control over the production of each component, ensuring the creation of high-quality and durable parts. This manufacturing method expedited the development process, enabling cost-effective iteration and optimization of the UAV design. The 3D printing technology employed involved layer-by-layer construction, ideal for producing complex geometries and lightweight structures essential for effective aviation performance. Additionally, the project incorporated sophisticated tracking algorithms that allowed the UAVs to maintain awareness of each other's positions and movements, enhancing their operational capabilities for coordinated flight patterns. This feature is particularly valuable for applications requiring synchronized aerial activities, such as environmental monitoring, surveillance, and coordinated delivery systems. This project not only highlights the capabilities of modern 3D printing technology but also showcases the potential of UAEU students to contribute significantly to the field of aerospace engineering with innovative approaches. The success of this dual UAV project opens avenues for further research and development in 3D-printed UAVs and their potential applications across various sectors.

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Research Article: Temporal Land- Use/Land-Cover Change Analysis in Kotla Sub-Watershed of Rupnagar District (Punjab) Using Remote Sensing and GIS. Journal of the Indian Society of Remote Sensing. #researchpaper #LULC #springer #article #remotesensing #gis #watershed

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Using the ‘Boundary Condition Impartation technique’, researchers with Indian National Centre for Ocean Information Services (INCOIS) and Mangalore University made an attempt is made to directly nest a high-resolution unSWAN model in a WAVEWATCH III model then evaluated the developed modelling system. https://lnkd.in/g43-u7wm #wavemodel #oceanmodel #civilengineering

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Today's topic: Bhuvan portal ................................................................................................... Bhuvan is a versatile web-based tool developed by the Indian Space Research Organisation (ISRO) that provides satellite imagery and other geospatial data for various applications. Various applications are as follows: 👉Agricultural Plant Action: Bhuvan provides #satellite data that can help in monitoring crop health, growth stages and #yield prediction. It can offer #soil health cards and data on soil moisture, which is crucial for effective crop management. The platform can help identify areas affected by #pests and #diseases through remote sensing. 👉Hydrological Fluxes: Bhuvan can provide data on surface water bodies, #groundwater levels and watershed management. It offers real-time data and maps that can help in #flood #prediction and management. The platform can be used for drought monitoring and management by analyzing #rainfall patterns and soil #moisture content. 👉Lightning Products: Bhuvan provides real-time lightning data which can be crucial for #disaster #management and early warning systems. The information can be used to issue #warnings and take preventive measures to protect #life and #property. 👉PFZ Monitoring: Bhuvan can provide data on sea surface #temperature and chlorophyll concentration to identify potential fishing zones, helping #fishermen increase their catch efficiently. 👉Tourism GIS: Bhuvan can map tourist attractions, facilities, and routes, making it easier for tourists to plan their visits. It can provide detailed maps and information about #heritage sites and #monuments. Helps in planning and developing #infrastructure for #tourism by providing geographical #data and #analysis. 👉Urban Information System: Bhuvan can be used for city planning, including #land #use mapping, infrastructure #development and zoning. It aids in the development of smart city projects by providing data on utilities, transportation and other #urban #services. The platform can assist in #urban disaster management, including #earthquake and #flood response. 👉State-Specific Information: Bhuvan provides state-specific geospatial data, including natural resources, infrastructure, and demographic information. The data can support state governments in #policy making, resource #management, and #development planning. State-specific environmental data can help monitor and manage #environmental issues such as #deforestation, #pollution and #conservation efforts. So, Bhuvan serves as a powerful tool for various sectors by providing accurate and up-to-date geospatial data, supporting decision-making, planning and management activities. #linkedin #connections #geospatial #developers

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#CSTEP researcher R (Subu) Subramanian (he/him) highlights that high spatial density of low-cost sensors to monitor #AirPollution is the way forward in hotspots like #Bengaluru in this article published by Bangalore Mirror - India https://lnkd.in/g2psnsEy

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Why do Agri spraying drones crash? Author: RAJA RAMAN, Investor and mentor to AvironiX Drones, Vayu Drone Services and Magnipower Technology LLP This note is intended to be helpful for agriculture spraying drone buyers. Like it if you like it 😂 This is a great list of practical considerations for purchasing and operating drones, especially for agricultural use. Each point highlights important safety and performance factors that are often overlooked. 1. Origin of the Drone: Avoid purchasing drones of Chinese origin, even if they are labeled 'Make in India.' Buy type certified drones only. 2. GPS Reliability: Cloudy weather can affect GPS signals, increasing the risk of crashes. Opt for drones with dual GPS antennas to ensure better reliability. 3. Powerline Interference: Magnetic interference from powerlines can cause drones to crash. Verify if the drone has built-in powerline protection features. 4. Battery Placement: A drone's battery placed near the controller can cause magnetic interference, leading to signal loss and crashes. Ensure proper battery placement to mitigate this risk. 5. Battery Management: A drone should have a Return to Home (RTH) feature that activates when the battery level drops to 60%. This prevents crashes due to battery drain. 6. Maximum Speed: Agricultural drones flying at speeds close to 10 m/s might crash as radars could miss detecting obstacles. Ensure speed settings are appropriate for the drone's radar capabilities. 7. Maintenance: Regularly clean your drone to prevent dust accumulation, which can affect motor performance and lead to crashes. 8. Pilot Distraction: Pilots should avoid distractions while flying drones. Ensure your pilot maintains focus to prevent accidents. 9. Collision Avoidance: Equip your drone with collision avoidance radars on both the front and back. This is especially important if the pilot tends to operate the drone in reverse frequently. When my team at Avironix built its 16L agricultural type-certified drone, we prioritized dual GPS systems to prevent communication losses and implemented safeguards to address these potential issues. I hope you find these tips useful for your drone operations. Like it if you like it. #agriculture #drone #pesticide #fertiliser

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Attention all! 🌊🚨 Following the recent incident at Bhushi Dam, Pune, let's prioritize safety during the monsoon season. I recently shared the link to the geo-visual layer showing statistical 'Monsoon Onset Dates' in India on http://orgin.in. The data reveals that after June 10, the monsoon is expected to progress from Ratnagiri towards Pune and beyond, as seen in the screenshot. Before embarking on any riverine adventures, it's crucial to be aware of these dates nationwide. Remember, it's essential to avoid areas at elevation levels of river down slopes or dams, especially during the monsoon. Let's prioritize safety and spread the word to ensure everyone stays safe. Your share could potentially save lives. At appropriate time i will post monsoon withdrawal dates too. Stay safe and informed! 🙏 #MonsoonSafety #SpreadAwareness #InnovationInResearch #ClimateResearch #Monsoon2024 #MonsoonTracker #GeospatialData #ORGIN #RiverineGiS

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#Bhuvan_Panchayat by ISRO - Indian Space Research Organization revolutionizes rural development in #India with advanced geospatial technology. This platform empowers village councils with high-resolution satellite imagery and mapping tools for efficient planning, resource management, and project monitoring. By facilitating asset mapping, decision support, and real-time monitoring, Bhuvan Panchayat enhances transparency and accountability in rural governance, driving #sustainable_growth and improving quality of life in rural communities.

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🚁 The Indian Institute of Technology, Kanpur has launched an International #Training Programme on "Agriculture Practice Using Drones: Plan, Design, Build, and Fly," in collaboration with the African-Asian Rural Development Organization (AARDO). The course, running from November 13 to 23, 2024, brings together participants from 13 countries across #Africa and #Asia. 🌍 📚 This comprehensive programme covers key areas in #agricultural drone usage, such as precision crop #monitoring, #soil health assessment, pest control, and smart #irrigation. Participants will engage in hands-on #sessions focusing on drone-based data #collection, flight path planning, aerial #mapping, and the use of sensors for agricultural #monitoring. 🌾🚁 💡 The course is structured by IIT Kanpur's #experts, including Prof. Janakarajan Ramkumar and Dr. Amandeep Singh Oberoi, who bring their expertise in #sustainable engineering and micro/nano machining. By equipping #participants with the skills to design, build, and fly drones tailored for agriculture, the programme aims to #empower attendees to drive more efficient and sustainable farming practices in their home #regions. 🌱 Source - t.ly/J3G4N Bushra Ateeq | Prof. Janakarajan Ramkumar | Dr. Bishakh Bhattacharya | Dr. Amandeep Singh Oberoi #IITKanpur #AgriculturalDrones #DroneTraining #SmartFarming #PrecisionAgriculture #DroneTechnology #AARDO #SustainableFarming #DroneInnovation #AgriTech #FarmOptimization #DroneHelpline

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https://lnkd.in/gHhZuA-3 Project Name: Rocket Simulation by using Machine learning¶ Contributer: Rajeev singh sisodiya Project Details: Rocket simulation is a complex and computationally intensive task, typically involving the modeling of fluid dynamics, thermodynamics, structural mechanics, and other physical processes. Machine learning can be used in conjunction with traditional simulation methods to improve certain aspects of rocket design and operation. Here are some ways in which machine learning can be applied to rocket simulation: Aerodynamic Design: Machine learning models can help optimize rocket shape and design for better aerodynamic performance. Neural networks can be trained on historical data and simulation results to identify optimal designs more quickly than traditional iterative approaches. Trajectory Prediction: Machine learning can be used to predict the trajectory of a rocket during flight, taking into account atmospheric conditions and other variables. This can help in improving guidance and control systems. Anomaly Detection: Machine learning models can be trained to detect anomalies or malfunctions in real-time during a rocket's flight. This is critical for safety and can lead to more reliable operations. Structural Analysis: ML algorithms can assist in the structural analysis of rockets, predicting stress, strain, and failure points during launch and flight. This can help in designing more robust and lightweight rocket structures. Propulsion Optimization: Machine learning can be used to optimize the performance of rocket engines. By analyzing combustion processes and propellant characteristics, ML can suggest ways to enhance fuel efficiency and thrust. Materials Selection: ML models can help in selecting the right materials for rocket components, factoring in various parameters like heat resistance, weight, and durability. Fault Diagnosis: Machine learning can be used for diagnosing faults or anomalies in rocket systems and suggesting corrective actions. This can lead to quicker response times during mission-critical situations. Image Analysis: For rockets equipped with cameras or other sensors, machine learning can analyze real-time image and sensor data to provide insights into the rocket's condition and environment. Operational Optimization: Machine learning can help optimize launch and mission parameters, such as scheduling, fueling, and payload deployment, to maximize mission success and cost-efficiency. Reinforcement Learning for Control: Reinforcement learning can be used to develop autonomous control systems that adapt and learn during the rocket's flight. This can be beneficial for tasks like landing or docking.

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𝐇𝐚𝐫𝐧𝐞𝐬𝐬𝐢𝐧𝐠 𝐃𝐫𝐨𝐧𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: 𝐀 𝐍𝐞𝐰 𝐄𝐫𝐚 𝐢𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐟𝐨𝐫 𝐀𝐬𝐬𝐚𝐦'𝐬 𝐘𝐨𝐮𝐭𝐡 & 𝐅𝐚𝐫𝐦𝐞𝐫𝐬 Read this at our Agri Drones Website. https://lnkd.in/gJf4WZTn In Assam, the integration of #dronetechnology into agricultural practices has emerged as a transformative force, particularly in paddy cultivation. With the use of over two dozen #drones dedicated to spraying fertilizers and pesticides, the prospects for the farming community are becoming increasingly promising. Unemployed youth near Guwahati are seizing this opportunity to harness the potential of drones, paving the way for a successful winter paddy harvest. The introduction of #dronetechnology has been met with enthusiasm, especially in the Kamrup district, where it has begun to establish itself as a viable entrepreneurial venture. Rituparna Saikia, a subject matter specialist in Soil Science at #KVK Kamrup, highlighted the significant role drones play in addressing the pressing issue of labor scarcity. Since the launch of this initiative, KVK has successfully executed 150 demonstrations of #droneusage covering more than 40 hectares of farmland. The initiative has reached multiple blocks in Kamrup, such as Rangia, Hajo, Sualkuchi, Chaygaon, and Chayani Borduar. Recently, KVK, in collaboration with Assam Agricultural University, organized a demonstration program focused on the application of agricultural #dronesforspraying nano urea in double cropping fields of paddy at Niz Borigog village. The advantages of employing drone technology are manifold. The results from #droneapplications have been significantly superior, as #dronespraying techniques reduce the quantity of pesticides and fertilizers used, thereby addressing environmental concerns in agriculture. Additionally, the cost of cultivation sees a notable decrease. The efficiency of drone operations is striking; they can cover up to three bighas of land in just ten minutes using 10 liters of spray solution. In contrast, manual spraying requires over 45 liters to cover a single bigha and takes considerably longer. To further bolster this initiative, ICAR-Atari has procured five #agribot spray drones manufactured in Inida by IoTechWorld Avigation Pvt Ltd and transferred them to KVK Kamrup for operational use. The KVK has successfully obtained the necessary licenses from the Directorate General of Civil Aviation (DGCA) to operate these drones. The ambitious goal is to conduct 250 demonstrations by the end of this year, thereby increasing awareness among farmers about the myriad benefits that drones can bring to agricultural practices. In addition to practical demonstrations, the program aims to inspire and encourage local college youth by providing hands-on experience with drone technology to foster entrepreneurial spirit & enhance the skill sets of the younger generation #Agridrones #Agribot #AgriDronePage #DronesInAssam

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Integration of System Theory with Machine Learning Tools for Data Driven System Identification A new collaborative multi-year project in the National Science Foundation (NSF)Center for Autonomous Air Mobility & Sensing between my Vehicle Systems & Control Laboratory (VSCL) in the Texas A&M University Department of Aerospace Engineering, Co-PI Puneet Singla of the Control and Analysis of Stochastic Systems (CASS) Laboratory at Penn State University, and Co-PI Randy Beard of the MAGICC lab at Brigham Young University. The goal of this research is to develop the capability to generate highly accurate and robust models of Advanced Air Mobility Systems (AAMS) onboard the vehicle in real-time during flight, to ensure safety and satisfactory performance, and type certification. Very high levels of safety and fault tolerance can be facilitated by this onboard capability for AAMS operating in multi-obstacle urban environments, and potentially crowded low altitude airspaces. Importantly, it facilitates type certification by understanding handling qualities, fault-tolerant control systems, and obstacle and collision avoidance. The new approach used here is a seamless integration of emerging machine learning tools with subspace methods for system identification, to derive a new model from I/O data or to update a known model based on data. Features of this work are a) the ability to leverage sparse regression to balance model complexity with accuracy; b) closed-loop Identification; and c) implementation using low size, weight, power & cost (SWAPC). Recent publications of this work are: Jain, Amit, Singla, Puneet, and Valasek, John, “Sparsity Enhanced Aerodynamic Parameter Estimation for Nonlinear Aircraft Model,” 2025 AIAA Science and Technology Forum and Exposition, Orlando, FL, 6 January 2025. McQuinn, Cassie-Kay, and Valasek, John, “Onboard Near-Real Time System Identification From Open and Closed-Loop Flight Data,” 2025 AIAA Science and Technology Forum and Exposition, Orlando, FL, 8 January 2025. Leshikar, Christopher, and Valasek, John, “Structure for Implementing a Priori Model Knowledge in Markov Parameter Based System Identification Algorithm,” 2025 AIAA Science and Technology Forum and Exposition, Orlando, FL, 7 January 2025. Leshikar, Christopher, McQuinn, Cassie-Kay, and Valasek, John, “System Identification of Unmanned Air Systems at Texas A&M University,” Journal of Aircraft, Volume 60, Number 5, September 2023, pages 1437-1460. doi.org/10.2514/1.C037314 #vscl #tamu #TAMUengr #tamuengineering #aiaaistc #autonomousvehicles #drones #aerospaceengineering #autonomous #autonomy #intelligentsystems #uas #drones #autonomoussystems #reinforcementlearning #aiaa #validation #machinelearning #ai

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🚁 India's second production-linked incentive (PLI) #scheme for the drone ecosystem may take some more time. It is under review as stakeholder #consultations highlight the need for more inclusive benefits. The earlier scheme, launched in 2021 with ₹120 crores, mainly favoured large-scale #producers. Officials now propose a broader outlay of ₹1,000-₹1,500 crore, focusing on R&D 💡 and local component #manufacturing 🛠️. 👨‍💼 The Ministry of Civil Aviation (MoCA) is consulting #stakeholders to refine the scheme, easing sourcing norms and streamlining processes for #startups and MSMEs. Industry bodies like FICCI urge the inclusion of counter-drone systems and indigenization. Plans are underway to #finalize the proposal by February 2025, aligning with growing drone demand for #civilian and defence applications. 📈 India’s drone #manufacturing market is projected to reach ₹900 crore by 2025, up from ₹60 crore in 2020-21. Experts stress the role of R&D 🔬 and innovation in sustaining this growth. “A robust PLI #scheme can attract domestic and global investors 🌍,” said Ashish Kumar of Fundamentum, highlighting the importance of government-backed research #initiatives. Source - t.ly/0oH8k #DronePLI #MakeInIndia #DroneInnovation #StartupSupport #RuralDevelopment #TechIncentives #AatmanirbharBharat #DronesOfIndia #IndigenousTech #PLIForDrones #DroneManufacturing #TechPolicy #IndiaGrowth

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****Beware of CFD "Influencers" on LinkedIn**** ****A Warning to Aspiring Students**** Recently, a disturbing trend has emerged on LinkedIn—self-proclaimed influencers in Computational Fluid Dynamics (CFD) promoting "wanna be CFD" courses for aspiring engineers, but at a significant personal profit. Some of these influencers charge upwards of $100 per course, or take a 50% cut from total sales, and unfortunately, this is little more than a get-rich-quick scheme disguised as education. ****Why is This Dishonest?**** Lack of Transparency: Many of these influencers market themselves as industry experts without showcasing real credentials or proven CFD experience. The pricing model is often hidden, and students only discover the hefty fees after investing their time and attention. Misleading Aspirants: These individuals prey on the enthusiasm and ambition of young engineers or professionals looking to build skills in CFD. The promise of exclusive knowledge is often paired with flashy marketing, but the actual content rarely justifies the high costs. Unproven Course Quality: Charging $100 per course or claiming 50% of total sales implies that the focus is more on profit than providing real value to students. The quality of the education often doesn’t match the premium price tag, leaving students with shallow knowledge and less money in their pockets. ****The Ethical Approach to Learning CFD**** There are many reputable sources of CFD knowledge that are affordable, transparent, and focused on student growth. Universities, professional training platforms, and open-source communities often provide courses designed by real experts at a fraction of the cost—or even for free. If you're serious about advancing your CFD skills, I urge you to be cautious and to: 1. Research the Instructor's Background: Ensure that your instructor has credible academic or industry experience. 2. Read Reviews & Testimonials: Look for honest feedback from past students. 3. Seek Value-Driven Education: Choose programs that offer clear learning outcomes, student support, and opportunities to engage with mentors. Don't let these money-focused influencers profit from your ambitions. Invest wisely in your education and be aware of those who are more concerned with their own wallets than your future. Stay sharp, stay ethical, and keep learning. PS: "I removed the name to avoid it sounding personal, though it was just meant to serve as an example."

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Today's Insolation and Reference Evapotranspiration for PAN India at a glance. #environment #monitoring #geospatial #networking #algorithm #developers #content #strategy #development #risk #management #policymakers #india #timesofindia #hydrology #forestry #agriculture #industry #technology #gis #connections #growth #linkedin #product #management #arcgis

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