Horizons in Computer Science Research. Volume 19


Thomas S. Clary (Editor)

Series: Horizons in Computer Science
BISAC: COM000000

Horizons in Computer Science Research. Volume 19 first describes the principles, materials and processes in 2.5D printing and post-press enhancement based on the authors’ research.

This compilation goes on to discuss Hadoop, a pioneering open source framework that has revolutionized the big data world due to its ability to process vast amounts of unstructured and semi-structured data by distributing a massive amount of data across clusters.

A new tool that uses general and query-based summarization to analyze students’ log files at the Academic Center for Tutoring at Columbus State University, a small state university in Georgia, USA, is introduced.

The concept of a Vehicle Accident Prediction System is presented using accident datasets based on actual vehicle accident data extracted from open-source datasets.

The current problem of rapid data increase throughout the year is discussed, along with the available options for gaining useful insight from World Wide Web created data.

A review of different methods for Audio-Visual Speech Recognition using Random Forest is presented, and a strategy based on the combination of Wavelet multiresolution analysis and Random Forest is proposed.

The authors review six recent applications of autoencoders in cryo-EM and cryo-ET data analysis, discussing the autoencoders’ strength and weaknesses to provide potential directions for future research.

In closing, an algorithm is presented which uses ensembles of metamodels and classifiers to predict which candidate designs for computer simulations are expected to cause failures and to divert the search accordingly.

Table of Contents

Table of Contents


Chapter 1. 2.5D Imaging Technology and Application Based on Inkjet Printing
(Chen Chen, PhD, Linyi Chen, Xiaochun Wang, Jieni Tian, Jiangping Yuan and Guangxue Chen, PhD, State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong, China)

Chapter 2. Improving Energy-Efficiency through Smart Data Placement in Hadoop Clusters
(Ahmed Mostafa, Yi Zhou, PhD, and Rania Hodhod, PhD, TSYS School of Computer Science, Columbus State University, Columbus, Georgia, US)

Chapter 3. Data Analytics to Improve Student Success and Retention
(Fatma Gamal, Rania Hodhod and Hillary Fleenor, Faculty of Computer and Information Science, Future University, Cairo, Egypt, and others)

Chapter 4. Automotive Accident Precognition System Using Random Forest Algorithm
(Abdurazzag A. Aburas and Tahmid Quazi, Computer Engineering Dept. University of KwaZulu-Natal, Durban, South Africa)

Chapter 5. Cuckoo Search and Its Applications in Clustering of Web Documents
(Akshata H. Prabhu, Reetika Agrawal and S. Natarajan PhD, VMware Inc, and others)

Chapter 6. Random Forest for Audio-Visual Speech Recognition
(Gonzalo D. Sad, Lucas D. Terissi and Juan C. Gómez, Laboratory for System Dynamics and Signal Processing, Universidad Nacional de Rosario – CIFASIS-CONICET, Rosario, Argentina)

Chapter 7. Applications of Autoencoder in Cryo-Electron Microscopy and Tomography
(Xiangrui Zeng, Haoran Wang, Xiaoyu Cao and Min Xu, Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, US, and others)

Chapter 8. Recent Progress in Ensemble Algorithms
(Yoel Tenne, Ariel University, Ariel)


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