International Journal of Networked and Distributed Computing

Volume 1, Issue 3, July 2013

1. Parallel Implementation of Exact Matrix Computation Using Multiple P-adic Arithmetic

Xinkai Li, Chao Lu, Jon A. Sjogren
Pages: 124 - 133
A P-adic Exact Scientific Computational Library (ESCL) for rational matrix operations has been developed over the past few years. The effort has been focusing on converting all rational number operations to integer calculation, and fully taking advantage of the fast integer multiplication of modern computer...

2. BSP-Based Support Vector Regression Machine Parallel Framework

Hong Zhang, Yongmei Lei
Pages: 134 - 143
In this paper, we investigate the distributed parallel Support Vector Machine training strategy, and then propose a BSP-Based Support Vector Regression Machine Parallel Framework which can implement the most of distributed Support Vector Regression Machine algorithms. The major difference in these algorithms...

3. On Effectiveness of Hopping-Based Spread Spectrum Techniques for Network Forensic Traceback

Wei Yu, Xinwen Fu, Erik Blasch, Khanh Pham, Dan Shen, Genshe Chen, Chao Lu
Pages: 144 - 158
Network-based crime has been increasing in both extent and severity and network-based forensics encapsulates an essential part of legal surveillance. A key network forensics tool is traceback that can be used to identify true sources of suspects. Both accuracy and secrecy are essential attributes of...

4. Device driver development of an external human interaction device for the Android

Naoto Ogawa, Shuichi Oikawa
Pages: 159 - 166
Recently, many people have used Smartphones. The feature of Smartphones is that they are equipped with a mobile operating system (OS) for the control of sensors and modules. In this situation, we can connect external human interaction devices with the Smartphone. Our objective is to know how the external...

5. Efficient Keyword-Related Data Collection in a Social Network with Weighted Seed Selection

Changhyun Byun, Hyeoncheol Lee, Jongsung You, Yanggon Kim
Pages: 167 - 173
Data mining in a social network can yield interesting perspectives to understanding human behavior or detecting topics or communities. However, it is difficult to gather the data related to a specific topic due to the main characteristics of social media data: large, noisy, and dynamic. To collect the...

6. Flexible WSNs Aims Easy Installation With Noise Reduce Method For Elderly People Care

Takanobu Otsuka, Takayuki Ito
Pages: 174 - 186
Much research has been conducted on anomaly detection by wireless sensor networks (WSNs). The existing WSNs require specialized knowledge and skills to install the sensors in environments such as houses and buildings. Therefore, we have developed a flexible WSN based on small sensor devices that can...