International Journal of Networked and Distributed Computing
Volume 5, Issue 4, October 2017
Research Article
1. Burst Transmission and Frame Aggregation for VANET Communications
Wei Kuang Lai, Mei-Tso Lin, Ting-Huan Kuo
Pages: 192 - 202
In vehicular ad hoc networks (VANETs), due to highly mobile and frequently changing topology, available resources and transmission opportunities are restricted. To address this, we propose a burst transmission and frame aggregation (FAB) scheme to enhance transmission opportunity (TXOP) efficiency of...
Research Article
2. Load Experiment of the vDACS Scheme in case of the 300 Clients
Kazuya Odagiri, Shogo Shimizu, Naohiro Ishii
Pages: 203 - 210
In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data,...
Research Article
3. An Evaluation of Coding Violation Focusing on Change History and Authorship of Source File
Aji Ery Burhandenny, Hirohisa Aman, Minoru Kawahara
Pages: 211 - 220
This paper focuses on an evaluation of coding violation warned by a static code analysis tool while considering the change history of violation and the authorship of source file. Through an empirical study with data collected from seven open source software projects, the following findings are reported:...
Research Article
4. Enabling GSD Task Allocation via Cloud-based Software Processes
Sami Alajrami, Barbara Gallina, Alexander Romanovsky
Pages: 221 - 232
Allocating tasks to distributed sites in Global Software Development (GSD) projects is often done unsystematically and based on the personal experience of project managers. Wrong allocation decisions increase the project’s risks as tasks have dependencies that are inherited by the distributed sites....
Research Article
5. Improvement and Evaluation of Estimation of Time Series Data of Daily Life
Teruhisa Hochin, Hiroki Nomiya
Pages: 233 - 242
This paper improves the estimation of the amounts of sewage flow, which is one of daily life data, in order to manage them efficiently. The amounts of flow of a typical day are tried to be adjusted to those of a non-regular day. A typical (non-regular, respectively) day is a non-rainy day having good...
Research Article
6. Estimating and Visualizing the Time-varying Effects of a Binary Covariate on Longitudinal Big Text Data
Shizue Izumi, Tetsuji Tonda, Noriyuki Kawano, Kenichi Satoh
Pages: 243 - 253
We propose a method to estimate and visualize effects of a binary covariate on the longitudinally observed text data. Our method consists of series of analytical methods: extracting keywords through a morphological analysis, estimating the time-varying regression coefficient of a binary covariate for...