Integrating diverse digital elements and DVD authoring to design a promotional interactive DVD media

a. Project consideration The project will be an experimental design using DVD media. Below are few factors to be considered before beginning the project. Goal: Use features of DVD media to create an interactive DVD. Value: To help users understand that interactive DVDs promote products better than traditional media. Design solutions: To find the best solutions for the project. Timeline: Define the timetable of project process. Evolution: Understand problems and revise the final project. b. Product definition: The product being promoted almost decides the entire design style in the final DVD. I had chosen the CDJ-1000, a DJ turntable. Not only is it an attractive product, it is also fun, and has the ability to remix audio. It really fits features of DVD media for those chrematistics, and that type of lifestyle can be promoted well in DVD media. c. Define project structure (Please reference diagram 1. of the project structure) UDF Format 1 . Demonstration section: Real people demonstrate the product through film shooting, video editing, sound editing and remixing, lighting and special effects. 2. Main Features: QTVR motion menu. (3D modeling and animation, DVD scripting) 3. Training time: Use multi-angle video and multi-channel audio to train people how to use the product and also combine the quiz. (Different angle video editing, DVD scripting ) 4. Terminology: Basic menu system provides a database-style information system. 5. Product specifications Same as terminology. 6. Credits: Credit information ISO Format 1. Product game: The beat game for DVD media. 2. Product information: QTVR movie and product information. 3. DVD information: DVD media information, credits and web links. d. Define project procedures The project will explore new technology and create interactive DVD media. There are no examples or reference information for this new technology, which makes it necessary to have defined project procedures. (Please reference diagram 02. the project procedure

Three Dimensional Imaging of the Nucleon and Semi-Inclusive High Energy Reactions

We present a short overview on the studies of transverse momentum dependent parton distribution functions of the nucleon. The aim of such studies is to provide a three dimensional imagining of the nucleon and a comprehensive description of semi-inclusive high energy reactions. By comparing with the theoretical framework that we have for the inclusive deep inelastic lepton-nucleon scattering and the one-dimensional imaging of the nucleon, we summarize what we need to do in order to construct such a comprehensive theoretical framework for semi-inclusive processes in terms of three dimensional gauge invariant parton distributions. After that, we present an overview of what we have already achieved with emphasize on the theoretical framework for semi-inclusive reactions in leading order perturbative QCD but with leading and higher twist contributions. We summarize in particular the results for the differential cross section and the azimuthal spin asymmetries in terms of the gauge invariant transverse momentum dependent parton distribution functions. We also briefly summarize the available experimental results on semi-inclusive reactions and parameterizations of transverse momentum dependent parton distributions extracted from them and make an outlook for the future studies.Comment: 20 pages, 7 figure

Jet Discrimination with Quantum Complete Graph Neural Network

Machine learning, particularly deep neural networks, has been widely utilized in high energy physics and has shown remarkable results in various applications. Moreover, the concept of machine learning has been extended to quantum computers, giving rise to a new research area known as quantum machine learning. In this paper, we propose a novel variational quantum circuit model, Quantum Complete Graph Neural Network (QCGNN), designed for learning complete graphs. We argue that QCGNN has a polynomial speedup against its classical counterpart, due to the property of quantum parallelism. In this paper, we study the application of QCGNN through the challenging jet discrimination, where the jets are represented with complete graphs. Subsequently, we conduct a comparative analysis with classical graph neural networks to establish a benchmark