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

Traffic accidents have become a major cause of death. Most traffic accidents are caused by driver carelessness on traffic conditions. The driving dispute is a critical problem for drivers when the car accident is happened. The drivers usually install the car video recorder in their car to recode their driving images in recent years. If a traffic accident being happened, the driver can provide a driving video file as an evidence to claim that they did not conduct any dangerous driving behaviors for protecting themselves from suspicions. However, under some such situations, drivers may not stay in their car accident when driving the car, but they have similar requirements for a video record, because they need to use those video files to find out the crime in some hit-and-run accidents. The goal of this paper is to develop a platform which can allow user to share their driving videos by using smart wearable devices and allow other users to search traffic video by some given specific time, date and location from the platforms' database.

A traffic video searching and sharing platform based on smart wearable devices

https://ir.nctu.edu.tw:443/bitstream/11536/31078/1/000083794400007.pdf

Minimal cost replicated file system with an availability constraint

Infrastructure-as-a-Service (SaaS) has been a widely adopted service for system owners to build their systems in the clouds. The reconfiguration is an important issue in the life cycle of the cloud system. This paper proposes a Plug-and-Work tool for helping the system managers to reconfigure their system easily. The work first gives a complete definition on reconfiguration command. This definition covers the common requirements in the reconfiguration issue, such as scaling direction and scaling policy. Second, the work implements the tool following that definition. Besides, the proposed tool is designed in the manner of several principles, such as cross-cloud, plug-and-work, and discontinuity avoidance.

A plug-and-work tool for cloud system reconfiguration with single command

This study applied NetPeas (networked peer assessment system) in peer assessment activities of graduate level of thesis writing course. Authors wish to discover the students' attitudes toward and desired system requirements of NetPeas in writing course. This study involved 100 electrical engineering graduates from two research-oriented universities at northern Taiwan. Those students were required to attend a weekly thesis writing course and submit eight assignments through four rounds of networked peer assessment, and then authors survey their attitudes and opinions toward NetPeas. In the last, quantitative and qualitative surveys indicated that significantly more students willing to join the networked peer assessment activities via NetPeas in the near future and stand for using NetPeas. Authors also have dug several desirable requirements for NetPeas.

A pilot study of students' attitudes toward and desired system requirements of networked peer assessment system

Fast parallel stochastic gradient descent (FPSG) and non-locking stochastic multi-machine (NOMAD) are two representative matrix factorization algorithms for real-time accurate recommendation of large-scale recommender systems. To fairly ascertain the performance of FPSG and NOMAD matrix factorization algorithms, a comprehensive evaluation is presented in this paper. Streaming SIMD extensions (SSE) and different learning rate schedules are applied to evaluate the convergence performance of these two algorithms. The experimental results show that SSE can speed up the convergence performance of original NOMAD algorithm in Netflix dataset. In addition, no matter what learning rate schedules are used, FPSG algorithm has relatively good convergence results than NOMAD under the same parameters and experimental environments.

Shyan-Ming Yuan

Papers

A traffic video searching and sharing platform based on smart wearable devices

Minimal cost replicated file system with an availability constraint

A plug-and-work tool for cloud system reconfiguration with single command

A pilot study of students' attitudes toward and desired system requirements of networked peer assessment system

Comprehensive Evaluation of Large-Scale Parallel Matrix Factorization Algorithms