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

Execution time prediction is an important issue in cloud computing. Predicting the execution time fast and accurately not only can help users to schedule jobs smarter, but also maximize the throughput and minimize the resource consumption of cloud platform. While hybrid cloud provides methods to federate multiple cloud platforms, different cloud platforms have different resource attributes, which will increase the difficulties to predict a job's execution time. In this paper, we exploit Rough Set Theory (RST), which is a well-known prediction technique that uses the historical data, to predict the execution time of jobs. The evaluation presents that RST can utilize the accuracy of the execution time, while the decision can be made in a short period of time.

https://ir.nctu.edu.tw:443/bitstream/11536/20563/1/000310381500109.pdf

Execution Time Prediction Using Rough Set Theory in Hybrid Cloud

Digital advertising on social media officially surpassed traditional advertising and became the largest marketing media in many countries. However, how to maximize the value of the overall marketing budget is one of the most concerning issues of all enterprises. The content of the Facebook photo post needs to be analyzed effectively so that the social media companies and managers can concentrate on handling their fan pages. This research aimed to use text mining techniques to find the audience accurately. Therefore, we built a topic model recommendation system (TMRS) to analyze Facebook posts by sorting the target posts according to the recommended scores. The TMRS includes six stages, such as data preprocessing, Chinese word segmentation, word refinement, TF-IDF word vector conversion, creating model via Latent Semantic Indexing (LSI), or Latent Dirichlet Allocation (LDA), and calculating the recommendation score. In addition to automatically selecting posts to create advertisements, this model is more effective in using marketing budgets and getting more engagements. Based on the recommendation results, it is verified that the TMRS can increase the engagement rate compared to the traditional engagement rate recommended method (ERRM). Ultimately, advertisers can have the chance to create ads for the post with potentially high engagements under a limited budget.

https://www.mdpi.com/2073-8994/12/7/1105/pdf

A Photo Post Recommendation System Based on Topic Model for Improving Facebook Fan Page Engagement

With the technology growing, traditional communication way is insufficient to meet everyone needs. Video chatting is gradually become more and more popular. There are many mature and free video chatting tools to use on the internet. However, for senior citizens, learning news is much more difficult, none of them are design for senior citizens, so that it is too hard for elder to use it, it is result in the elder have no wish to learn new things. Therefore, in this thesis, we focus on the needs of elder adults, this study use HTML5 and WebRTC to propose a video chatting system designed for senior citizens, the elder can video chatting without complex operation. In addition, we also combine it into the television, the elder can use remoter controller to watch television and chat to people at the same time. After chatting, the system will upload the chatting video to server and elder can share it to friends. In the experiment, the result shows that the senior citizens is interesting in this system, also, the elder thinks that the system is very useful, feel comfortable to use it. They can learn this system quickly.

A Video Conferencing System Based on WebRTC for Seniors

File systems are designed to control how files are stored and retrieved. Without knowing the context and semantics of file contents, file systems often contain duplicate copies and result in redundant consumptions of storage space and network bandwidth. It has been a complex and challenging issue for enterprises to seek deduplication technologies to reduce cost and increase the storage efficiency. To solve such problem, researchers proposed in-line or offline solutions for primary storages or backup systems at the subfile or whole-file level. Some of the technologies are used for file servers and database systems. Fewer studies focus on the cloud file system deduplication technologies at the application level, especially for the Hadoop distributed file system. It is the goal of this paper to design a file deduplication framework on Hadoop distributed file system for cloud application developers. The architecture, interface, and implementation experiences are also shared in this paper.

https://journals.sagepub.com/doi/pdf/10.1155/2014/561340

Design and implementation of file deduplication framework on HDFS

With the trend of cloud computing, more and more web applications move their content to external storage services to reduce the cost of hardware and maintenance. In this paper, a novel architecture called CloudEdge for Content Delivery Network (CDN) with the storage service in cloud computing is introduced. This architecture could not only keep the loosely coupled integration between storage service and web applications but also provide better content manipulation features such as edge network content delivery, caching, secured access control, the variations of content objects generated on demand, and post-process on content objects.

https://ir.nctu.edu.tw:443/bitstream/11536/6004/1/000285977300005.pdf

Shyan-Ming Yuan

Papers

Execution Time Prediction Using Rough Set Theory in Hybrid Cloud

A Photo Post Recommendation System Based on Topic Model for Improving Facebook Fan Page Engagement

A Video Conferencing System Based on WebRTC for Seniors

Design and implementation of file deduplication framework on HDFS

CloudEdge: a content delivery system for storage service in cloud environment