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ICDTA 2020: 14. International Conference on Drilling Technologies and Applications

The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICDTA 2020: 14. International Conference on Drilling Technologies and Applications aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Drilling Technologies and Applications. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Drilling Technologies and Applications

Miracle Of Sound

Credit Card Collections can be collected at the venue on the night of the event only. Tickets if not sold out will be available at the venue on the night of the event only. Otherwise all tickets sold in advance via Ticketmaster. The three venues in The Academy are fully wheelchair accessible, with an elevator installed to look after any patron who requests it. Wheelchair patrons can book General Admission tickets via Ticketmaster, then email us on info@theacademydublin.com with details of the date & show you will be attending, and we will ensure you are looked after on the night.

Wizards vs Cavaliers (City Edition Building Blocks - First 5,000 Fans)

Cash, Visa, MasterCard, American Express, Discover Will Call tickets can be picked up anytime the Box Office is open, thru event start time. Customers must present the actual credit card used to place the order and a valid photo ID. General Information... 202-628-3200 Accessible Seating Only.. 202-661-5065 Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays *Hours subject to change To better accommodate your needs, Capital One Arena has requested that all accessible seating ticket accommodations be solicited only through their representatives. Please contact a Capital One Arena representative for further help with your ticket purchase.* Advance ticket purchase may be required. * Box office information is subject to change.

Hamilton (NY)

Cash, AmEx, Visa, MC Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID. (212) 221-1211 Monday - Saturday 10am - 8pm Sunday 12pm - 6pm

Detroit Red Wings vs. Colorado Avalanche

The Box Office accepts MasterCard, Visa, Discover, American Express, and Cash. Box Office Phone Number: (313) 471-7929 The box office is currently closed due to Covid-19 restrictions. Anticipated date for re-opening is on or before June 1, 2021. The box office will be open on event days from 11:00am until 30 minutes after scheduled show time.

Differentiation Strategies for Language Learners

#cdltlanguagelearners WHY COME? Do you have students at different levels of language acquisition in the same class? This two-day workshop will provide practical strategies for differentiating grade level lessons and engaging all learners in listening, speaking, reading, and writing. WHO IS IT FOR? Grade K-5 EAL teachers. Grade K-5 general educators who serve EAL students. Teams of general education and EAL teachers, who co-teach, co-plan, or work together in any way. WORKSHOP OUTLINE In this interactive workshop, participants will experience differentiation strategies in demonstration lessons from an asset-based approach. After each learning experience, participants will reflect on ways to apply the strategies to various grade levels, language acquisition levels, and content areas or units of inquiry. Participants will analyze academic language demands of texts and units of inquiry and create supports and scaffolds to ensure that all students can access grade-level content and develop their listening, speaking, reading, and writing skills. Participants should bring plans for an upcoming lesson in order to participate in a protocol for adding the language lens to the lesson. LEARNING OUTCOMES Throughout the workshop, participants will: Identify students’ strengths and create a student “Can Do Portrait”. Experience and analyze differentiation strategies in model lessons. Understand the features of academic language. Analyze academic language demands of texts and projects. Enhance language development within inquiry-based and project-based units. Plan for differentiation of language in classroom content, process, product, and environment. Develop scaffolds and supports in each language domain (listening, speaking, reading, and writing) for students at different levels of language acquisition. Transfer strategies and supports to lessons using the Language Lens Planning Protocol. SPEAKER Beth Skelton provides professional development, coaching, and consulting for schools around the world focused on creating equitable education for multilingual learners. She believes that all students are academic language learners and that all teachers are language teachers. She holds a Master’s Degree in Multicultural Teacher Education and has worked with early childhood, elementary, middle, high school and adult language learners in rural, urban, suburban, and international school settings for over 30 years. She is a WIDA certified trainer and has extensive experience and training in Kagan cooperative learning, Harvard Project Zero and Visible Thinking Routines, SIOP, International Baccalaureate English B course, Marzano’s Strategies that Work for English Learners, Total Physical Response Storytelling (TPRS) for English Learners, and student-centred instructional coaching. She has published materials for teaching adult English Learners with the TPRS method entitled Putting it Together, which have been translated into Spanish, Dutch, French, and sign language.

Chulalongkorn Uni: Intro to Deep Learning with NVIDIA GPU in Computer Vision

A COLLABORATION WITH CHULALONGKORN UNIVERSITY Computer Vision - Workshop Dates: DEC 18 - 20 (3 days)   *OPEN FOR REGISTRATION Language of Conduct:Thai language & English Materials Course Fee:Regular Price : USD900 Early bird for corporate : USD600 (by July 1st , 2019)Early bird for academic : USD550 (by July 1st , 2019)Price EXCLUDES 7% VAT. Full price will be included in the ticket.  *Academic tickets MUST be purchased and proven with a EDU/University email!  HOW TO REGISTER: 1. To register directly with iTrain Asia, please email your details to info@itrainasia.com2. Via Eventbrite registration page*Please note that Eventbrite charges apply  PAYMENT METHODS: 1. Via Eventbrite by PayPal/Credit Card (please note that Eventbrite charges will apply) 2. To make direct payment transfer, please transfer to the following account and kindly SEND YOUR FULL NAME & RECEIPT upon successful payment:   Please key in the price  Please email your receipt/proof of payment to yana@itrainasia.com Pre-requisites Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables Your Certificate You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion. About the Course This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own. Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.  DLI Workshop Attendee Instructions:  You MUST bring your own laptop to this workshop. WHAT YOU WILL LEARN Course Outline Introduction to Deep Learning with NVIDIA GPU in Computer Vision   3 days from 9AM - 4:30PM DAY 1 - (DEC 18, 2019) Platform: Keras on Google Colab Prerequisite: Python programming What is Deep Learning and what are Neural Networks? (90 mins) [Lecture] Basics of Deep Learning Training a Neural Network Practical session I (90 mins) [Lab] Create a Neural Network in Python Introduction to convolution neural networks and recurrent neural networks (90 mins) [Lecture] Intuition and building blocks Types of convolutional neural networks Types of recurrent neural networks Practical session II (60 mins) [Lab] Convolutional Neural Networks and Recurrent Neural Networks Tips and tricks to training a neural network model (30 mins) [Lecture] DAY 2 [DLI]  (DEC 19, 2019) Platform: DIGITS NVIDIA Deep Learning Institute Fundamentals Training Pre-requisite: MUST have technical background and basic understanding of Deep Learning concepts Certificate: Participants will receive an e-certificate from Deep Learning Institute Image Classification with DIGITS (120 min) How to leverage deep neural networks (DNN) within the deep learning workflow Process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance using GPUs. Train a DNN on your own image classification application Object Detection with DIGITS (120 min) Train and evaluate an image segmentation network Neutral Network Deployment with DIGITS and TensorRT (120 min) Uses a trained DNN to make predictions from new data Show different approaches to deploying a trained DNN for inference learn about the role of batch size in inference performance as well as virus optimisations that can be made in the inference process   DAY 3 (DEC 20, 2019)   Intelligent Video Analytics with Deep Learning Platform: Keras on Google Colab Prerequisite: Python programming & 1st training day Overview of Architectures for Computer Vision (90 min) Lab 1: Image classification with Keras (60 min)   Deployment with Deepstream and TensorRT (30 min) Lab 2: Deployment for classification and detection tasks (30 min)   Transfer learning techniques (30 min) Lab 3-1: Model adaptation (30 min) Lab 3-2: Advanced techniques for adaptation (30 min)   Video action recognition (15 min) Lab 4: Video action recognition (30 min) Jetson Demo: deployment on Jetson (15 min) ABOUT YOUR TRAINERS: PROF. EKAPOL CHUANGSUWANICH, Ph.D. Ekapol Chuangsuwanich is a Faculty Member in the Department of Computer Engineering at Chulalongkorn University. He received the B.S. and S.M. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2008 and 2009, respectively. He then joined the Spoken Language Systems Group at MIT Computer Science and Artificial Intelligence Laboratory. He received his Ph.D. degree in 2016 from MIT. His thesis work was on low-resource automatic speech recognition and representation learning using neural networks, which was part of the system that won Babel open keyword spotting challenge in 2016. With his expertise in multimedia retrieval, he is also one of the founding members of SmartVid.io, a startup working on organizing videos and images for the construction industry. In 2017, SmartVid.io was a runner-up in NVIDIA's Inception competition for AI startups. PROF. PEERAPON VATEEKUL, Ph.D. Peerapon Vateekul received his Ph.D. degree from Department of Electrical and Computer Engineering, University of Miami (UM), Coral Gables, FL, U.S.A. in 2012. Currently, he is an assistant professor at Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. Also, he is a deputy head of the department in academic affairs. His research falls in the domain of machine learning, data mining, deep learning, text mining, and big data analytics. To be more specific, his works include variants of classification (hierarchical multi-label classification), data quality management, and applied deep learning techniques in various domains, such as, medicinal images and videos, satellite images, meteorological data, and text.

Harry Potter and the Cursed Child

Hamilton (Touring)

Cash, American Express, Mastercard, & Visa. Will Call is located at the Box Office. Box Office Telephone: 323-468-1770 The Pantages Box Office opens daily at 10am. NO ONE UNDER THE AGE OF 5 ADMITTED There is no elevator in the Pantages Theatre. Disabled seating is reserved for the exclusive use of the disabled patron and their companion. The purchase or use of disabled seating locations by non-disabled individuals is strictly prohibited and may result in ejection and/or forfeiture of the ticket price.

Hamilton (NY)

Cash, AmEx, Visa, MC Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID. (212) 221-1211 Monday - Saturday 10am - 8pm Sunday 12pm - 6pm