Digital cinema (D-cinema). XML Data types

2010 ◽  
Keyword(s):  
Data Types ◽  
Xml Data ◽  
Digital Cinema

XML Data Integration

2010 ◽  
pp. 333-360 ◽  
Author(s):  
Yan Qi ◽  
Huiping Cao ◽  
K. Selçuk Candan ◽  
Maria Luisa Sapino
Keyword(s):  
Data Integration ◽  
Query Processing ◽  
Multiple Sources ◽  
Data Types ◽  
Xml Data ◽  
Data Schema ◽  
Integration Data ◽  
Feedback Techniques ◽  
Different Sources ◽  
Xml Data Integration

In XML Data Integration, data/metadata merging and query processing are indispensable. Specifically, merging integrates multiple disparate (heterogeneous and autonomous) input data sources together for further usage, while query processing is one main reason why the data need to be integrated in the first place. Besides, when supported with appropriate user feedback techniques, queries can also provide contexts in which conflicts among the input sources can be interpreted and resolved. The flexibility of XML structure provides opportunities for alleviating some of the difficulties that other less flexible data types face in the presence of uncertainty; yet, this flexibility also introduces new challenges in merging multiple sources and query processing over integrated data. In this chapter, the authors discuss two alternative ways XML data/schema can be integrated: conflict-eliminating (where the result is cleaned from any conflicts that the different sources might have with each other) and conflict-preserving (where the resulting XML data or XML schema captures the alternative interpretations of the data). They also present techniques for query processing over integrated, possibly imprecise, XML data, and cover strategies that can be used for resolving underlying conflicts.

Mining Abstract XML Data-Types

2019 ◽  
Vol 13 (1) ◽  
pp. 1-37
Author(s):  
Dionysis Athanasopoulos ◽  
Apostolos Zarras
Keyword(s):  
Data Types ◽  
Xml Data

PELATIHAN FILM PENDEK UNTUK SISWA SMA

Batoboh ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
FX Yatno Karyadi
Keyword(s):  
Digital Cinema

Film pendek untuk siswa SMA adalah bentuk program pelatihan pembuatan karya seni film, dengan peserta siswa sekolah menengah atas. Film pendek adalah media audio-visual yang berdurasi kurang dari tiga puluh menit yang digunakan untuk mengekspresikan sebuah gagasan melalui media sinema. Pelatihan bertujuan untuk meningkatkan rangsangan bagi siswa dalam memperkaya pengetahuan tentang jenis seni media rekam yang kini dikenal dengan istilah digital cinema. Pelatihan menggunakan metode workshop dengan praktek membuat film dari hasil pengembangan ide para siswa sendiri. Hasil yang diperoleh berupa sebuah film fiksi berdurasi 5 menit. Karya film disajikan dalam kesempatan pameran sekolah bersama karya-karya seni dari minat yang lain. Karya film juga dipersiapkan untuk mengikuti kompetisi film pendek antar sekolah menengah atas atau event kompetisi film lain untuk remaja. Hasil pelatihan menunjukkan bahwa sebagai remaja, siswa SMA memiliki pemahaman dasar tentang teknik pembuatan film sehingga mampu mengaplikasikan teknik-teknik sinematik dalam pembuatan film untuk mendukung penceritaan atau naratif film.

Integrating Visual and Bayesian Statistical Analyses in Single Case Experimental Research to Evaluate the Effectiveness and Magnitude of a Comprehensive Behavioral Intervention

2018 ◽  
Author(s):  
Prathiba Natesan ◽  
Smita Mehta
Keyword(s):  
Behavioral Intervention ◽  
Effect Size ◽  
Rate Ratio ◽  
Visual Analysis ◽  
Single Case ◽  
Small Sample ◽  
Statistical Analyses ◽  
Data Types ◽  
Ratio Effect ◽  
Small Sample Sizes

Single case experimental designs (SCEDs) have become an indispensable methodology where randomized control trials may be impossible or even inappropriate. However, the nature of SCED data presents challenges for both visual and statistical analyses. Small sample sizes, autocorrelations, data types, and design types render many parametric statistical analyses and maximum likelihood approaches ineffective. The presence of autocorrelation decreases interrater reliability in visual analysis. The purpose of the present study is to demonstrate a newly developed model called the Bayesian unknown change-point (BUCP) model which overcomes all the above-mentioned data analytic challenges. This is the first study to formulate and demonstrate rate ratio effect size for autocorrelated data, which has remained an open question in SCED research until now. This expository study also compares and contrasts the results from BUCP model with visual analysis, and rate ratio effect size with nonoverlap of all pairs (NAP) effect size. Data from a comprehensive behavioral intervention are used for the demonstration.

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