Implementing a new geospatial data discovery interface across a multi-institu...nacis_slides
NACIS 2016 Presentation
Nathan Piekielek, The Pennsylvania State University
James Whitacre, University of Illinois at Urbana-Champaign
Geographic information systems (GIS) have been commonly used mapping and analytic tools for more than twenty years. Early in this period, a lack of geospatial data often limited GIS users so that individuals were commonly producing geospatial data for their own use. More recently, the availability of geospatial data has increased dramatically so that the focus has shifted away from the data production efforts of individuals and towards large-scale multi-institution data documentation and discovery projects. In 2015, nine university members of the Committee on Institutional Cooperation (CIC; aka Big Ten) began a collaborative effort to build and populate a geospatial data portal. The portal leverages the newest data documentation and discovery tools including GeoNetwork to create ISO metadata records and GeoBlacklight as the platform for a web-based discovery interface. A beta version of the portal is operational and will be described and demonstrated.
A case study on the use of GIS in archaeology. Presented by Stuart at a Research Data seminar on GIS , which took place at the London School of Hygiene & Tropical Medicine on 17th March 2014
Implementing a new geospatial data discovery interface across a multi-institu...nacis_slides
NACIS 2016 Presentation
Nathan Piekielek, The Pennsylvania State University
James Whitacre, University of Illinois at Urbana-Champaign
Geographic information systems (GIS) have been commonly used mapping and analytic tools for more than twenty years. Early in this period, a lack of geospatial data often limited GIS users so that individuals were commonly producing geospatial data for their own use. More recently, the availability of geospatial data has increased dramatically so that the focus has shifted away from the data production efforts of individuals and towards large-scale multi-institution data documentation and discovery projects. In 2015, nine university members of the Committee on Institutional Cooperation (CIC; aka Big Ten) began a collaborative effort to build and populate a geospatial data portal. The portal leverages the newest data documentation and discovery tools including GeoNetwork to create ISO metadata records and GeoBlacklight as the platform for a web-based discovery interface. A beta version of the portal is operational and will be described and demonstrated.
A case study on the use of GIS in archaeology. Presented by Stuart at a Research Data seminar on GIS , which took place at the London School of Hygiene & Tropical Medicine on 17th March 2014
Powerful forces, including demographics, globalization, and rapidly evolving technologies are driving profound changes in engineering professionals in our society. The changing workforce and technology needs of a global knowledge-driven economy are dramatically changing the nature of engineering practices and education, demanding far broader skills than simply the mastery of scientific and technological disciplines. Over the last decades, Historically Black Colleges and Universities (HBCUs) and regional state colleges have joined forces with many major research universities to embrace innovation and entrepreneurship as critical to their mission and role in their communities. The leaderships at HBCUs recognize the importance of innovation, commercialization, entrepreneurship, and the creation of economic value for their communities, especially for these institutions with land-grant missions.
University of Maryland Eastern Shore (UMES) is a land-grant institution with 270 years rich history and legacy. Today, UMES has been reclassified as a Carnegie Doctoral Research (Moderate) University by the Carnegie Foundation and is on its request to become a pioneering HBCU in promoting innovation, commercialization and entrepreneurship for academic eminence. The Engineering, Business, and Technology programs at the School of Business and Technology at UMES play critical roles in advancing this new mission. To achieve this, we at the School of Business and Technology have developed roadmaps and strategies in four perspectives: We promote student innovation and entrepreneurship; we encourage faculty innovation and entrepreneurship; we actively foster collaboration in university and industry, and we engage with regional and local economic development efforts. In this seminar talk, I will elaborate on the efforts and initiatives we have developed with the goal of translating creativity on campus into business opportunity.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
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Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
Christopher j. busic_engineering_resume_2020-2021
1. CHRISTOPHER J. BUSIC
936-499-8293 · cbusic@vols.utk.edu · www.linkedin.com/in/christopher-busic/
EDUCATION
The University of Tennessee, Knoxville Knoxville, Tennessee
Bachelor of Science in Aerospace Engineering May 2021
Minoring in Computer Science and Leadership Policy Studies GPA: 3.97/4.00
Student of the Honors Leadership Program
Member of the Tau Beta Pi Engineering Honor Society
Dean’s List: Summa Cum Laude (2018-Present)
Scholarships: University of Tennessee Volunteer Scholarship, Tennessee Academic Scholarship, Houston Alumni Chapter
Scholarship, Sylvia Hutchings Scholarship, University of Tennessee Mechanical, Aerospace and Biomedical Engineering Department
Scholarship, MABE Outstanding Senior in Aerospace Engineering Award
WORK EXPERIENCE
Flight Model and Simulations Intern- Advanced Numerical Methods Section May 2020-August 2020
Dynetics, Inc. Huntsville, Alabama
Developed and analyzed deep reinforcement learning guidance agents for coaxial vehicle in Python (PyTorch, Captum).
Developed Python low-fidelity M&S environments for reinforcement learning training and analysis processes.
Developed “time-to-go” prediction model using machine learning toolbox in Python (PyTorch).
Flight Model and Simulations Intern- Advanced Numerical Methods Section May 2019-August 2019
Dynetics, Inc. Huntsville, Alabama
Developed ballistic payload trajectory prediction model using machine learning toolbox in Python (TensorFlow).
Implemented Python prediction model in C++ for deployment into an onboard flight software suite.
Studied payload prediction model design using a 3-DOF simulated model developed in Python and reported results directly
to Section Manager for software application.
RESEARCH EXPERIENCE
Undergraduate Research Assistant- Mechanical Properties Analysis September 2017-April 2018
Deep Space Industries & Dr. Thomas T. Meek-The University of Tennessee, Knoxville Knoxville, Tennessee
Analyzed the mechanical properties of asteroid simulant regolith for data supporting potential aerobrake application.
Collected empirical data on asteroid simulant regolith for application in a NASA Innovative Advanced Concepts Funding
Proposal in partnership with Deep Space Industries.
Effectively demonstrated oral communication skills during teleconference meetings with Deep Space Industries engineers,
scientists and business executives.
UNIVERSITY INVOLVEMENT
American Institute of Aeronautics and Astronautics (AIAA), Campus Branch August 2017-Present
Organization Chair May 2019-May 2020
Events Coordinator April 2018-May 2019
Coordinated, scheduled and promoted twenty chapter events per semester related to the aeronautics and astronautics industry.
Communicated organization events and trip ideas with university department staff and industry professionals.
Provided organization members with professional networking opportunities by inviting aerospace companies such as
Dynetics Inc., GE Aviation and NASA’s Marshall Spaceflight Center to speak about their fields of work within the aerospace
industry.
Organized a two-day industry event in Huntsville, AL for forty-six of our AIAA members, which consisted of facilities tours
of Dynetics Inc. and the Marshall Spaceflight Center.
TECHNICAL SKILLS
Autodesk AutoCAD Certified
Autodesk Inventor Certified
C, C++, MATLAB, Python,
RISC-V
Microsoft Office
SolidWorks
Visual Studio C++