Data Mining - Concepts and Techniques.

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

Matrix Factorization Techniques for Recommender Systems

Self-Directed Learning, A Guide for Learners and Teachers

In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching.

/pdf/a-review-on-genetic-algorithm-past-present-and-future-2o5y8ru178.pdf

A review on genetic algorithm: past, present, and future

INCOMAS: An Item Bank Based and Networked Concept Map Assessment System

Design and implementation of a distributed monitor facility

In recent years, NVIDIA proposed a developing platform for GPGPU. They also extended C language to parallel computing language, CUDA. In the meanwhile, the growth of memory capacity inside a computer enhances the feasibility of memory based database. In this paper, a memory database was proposed based on GPU memory. This study focus on how GPU can improve common operations for rational databases. Some comparison between proposed database and SQLite were also mentioned. The experiment result shows that GPU based database has better performance than SQLite. This research suggests a better solution to improve the performance of memory database using GPU.

The Design and Evaluation of GPU Based Memory Database

The purposes of this study were two folds. First was to design three strategies to help elementary school children reading science expositories online with the supports of an annotation system. The "iRuns" strategies were proposed based on the SOI model of Reading expository text [1] to include (1)"underline" for selecting main ideas, (2)"annotation for connection" to organize important ideas and (3)"summary" for integrating multiple concepts. Then a field study was conducted to explore whether students efficiently adopted iRuns strategies and achieved comprehension on earth science materials. A total of 55 5th and 6th graders from an elementary school participated a 8-week reading club. A plug-in annotation system (COM2ANNO) developed by Huang et al. [2] was adopdeted. Students' underlying, annotation and summary efficiencies were rated more favorable if they hit more main ideas. The results showed that iRuns strategy efficiencies decreased slightly across multiple time points and the high reading ability students' three annotation efficiencies were always better than the low ones. The gaps of iRun strategy efficiencies between high and low reading ability groups was gradually getting closer through series of instruction. Low ability students' strategy efficiencies correlated with comprehension score significantly but the high ones didn't. It indicated that low reading ability students benefited greatly from the iRuns strategies instruction. The annotation efficiecy was affected by using different types of annotating method (type vs. Copy-paste). Typing resulted in shorter annotations while copy-pasting produced better quality of annotation which demonstrated more highly relevant main ideas selected across texts.

https://ir.nctu.edu.tw:443/bitstream/11536/125115/1/000352622200061.pdf

Supporting Online Reading of Science Expository with iRuns Annotation Strategy

This paper presents a prototype of a distributed training simulator for a surface-to-air missile system. Since the system requirement enforces us to choose an open standard platform, and we think that Java has matured enough to offer acceptable performance and reliability, we decide to implement it by Java. Basically, this training simulator is a distributed interactive application, and lots of messages are exchanged within it. For the performance reason, we use an IP-multicast-based Java message service (JMS) implementation as the communication infrastructure for delivering time-critical events. In this paper, we present how to exploit the capability of the JMS publish/subscribe paradigm to implement this training simulator. Besides, we also perform a set of experiments to test and verify whether the training simulator can meet the system requirement. We think the experience of this paper is a good case study of using Java and message-oriented middleware to build message-intensive distributed systems.

Shyan-Ming Yuan

Papers

INCOMAS: An Item Bank Based and Networked Concept Map Assessment System

Design and implementation of a distributed monitor facility

The Design and Evaluation of GPU Based Memory Database

Supporting Online Reading of Science Expository with iRuns Annotation Strategy

The experience of using Java-based message-oriented middleware to build a distributed training simulator