International Journal of Networked and Distributed Computing

Latest Articles

Machine Learning in Failure Regions Detection and Parameters Analysis

Saeed Abdel Wahab, Reem El Adawi, Ahmed Khater
Volume 8, Issue 1, December 2019, Pages 41-48
Testing automation is one of the challenges facing the software development industry, especially for large complex products. This paper proposes a mechanism called Multi Stage Failure Detector (MSFD) for automating black box testing using different machine learning algorithms. The input to MSFD is the...

Proposal and Prototype of DNS Server Firewall with Flexible Response Control Mechanism

Hideo Masuda, Shun Segawa, Masayuki Mori
Volume 8, Issue 1, December 2019, Pages 34-40
Domain Name System (DNS) is an important system for the Internet communication. DNS is a system for distributed management and operation of domain names, and it is possible to associate with the resources such as IP address, instruct the destination host of the e-mail, and so on. On the one hand, it...

Multi-Dimensional Indexing System Considering Distributions of Sub-indexes and Data

Kazuto Nakanishi, Teruhisa Hochin, Hiroki Nomiya, Hiroaki Hirata
Volume 8, Issue 1, December 2019, Pages 25-33
This paper experimentally evaluates the parallel multi-dimensional indexing system indexing data by using several multi-dimensional indexes and retrieving required data from them in parallel. A constant number of data are indexed into a sub-index. The sub-index is inserted into an index in a computational...

Enhancement of Copper Wire Lengthening Automatic System using Contactless Heater

Hsiung-Cheng Lin, Jhih-Yao Hu, Chung-Hao Cheng
Volume 8, Issue 1, December 2019, Pages 9-15
Copper wire can be elongated to a very thin size like 0.01 mm from an original 0.6 mm via wire drawing dies. Although automatic machines are available for wire elongating process, the wire threading through dies still requires a human operation before entering an automation process. This procedure may...

Toward Affordable and Practical Home Context Recognition: –Framework and Implementation with Image-based Cognitive API–

Sinan Chen, Sachio Saiki, Masahide Nakamura
Volume 8, Issue 1, December 2019, Pages 16-24
To provide affordable context recognition for general households, this paper presents a novel technique that integrate image-based cognitive Application Program Interface (API) and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by the API....

Performance Evaluation of Data Migration Policies for a Distributed Storage System with Dynamic Tiering

Atsushi Nunome, Hiroaki Hirata
Volume 8, Issue 1, December 2019, Pages 1-8
We have proposed a distributed storage system which autonomously migrates data blocks into a suitable storage node by considering their access frequency and read/write ratio. In this paper, we show that revised data migration policies can rapidly distribute input/output (I/O) hot spot over the storage...

SAIFU: Supporting Program Understanding by Automatic Indexing of Functionalities in Source Code

Masashi Nishimoto, Keiji Nishiyama, Hideyuki Kawabata, Tetsuo Hironaka
Volume 7, Issue 4, September 2019, Pages 167-174
Programs in the event-driven style that are typical of mobile and/or Web applications are becoming complex and hard to maintain. For the purpose of reducing the burden put on software developers while reading source code to understand its details, we propose a tool for supporting program understanding,...

Transitional Method for Identifying Improvements in Video Distribution Services

Motoi Iwashita
Volume 7, Issue 4, September 2019, Pages 141-148
Customer satisfaction is an indicator that is generally utilized to improve goods/services for customer retention. Therefore, companies should understand the changes in customers’ perception of their goods/services and decide improvements. Therefore, a transitional evaluation approach is needed for goods/services...

A Secure and Scalable Data Source for Emergency Medical Care using Blockchain Technology

Shirin Hasavari, Yeong-Tae Song
Volume 7, Issue 4, September 2019, Pages 158-166
A relationship exists between the emergency patient death rate and factors such as the failure to access a patient’s critical data and the time it takes to arrive at hospitals. The ability for Paramedics to access a patient’s complete picture of emergency-relevant medical data is critical and can significantly...

Efficient Searching for Essential API Member Sets based on Inclusion Relation Extraction

Yushi Kondoh, Masashi Nishimoto, Keiji Nishiyama, Hideyuki Kawabata, Tetsuo Hironaka
Volume 7, Issue 4, September 2019, Pages 149-157
Search tools for Application Programming Interface (API) usage patterns extracted from open source repositories could provide useful information for application developers. Unlike ordinary document retrieval, API member sets obtained by mining are often similar to each other and are mixtures of several...

Polar Code Appropriateness for Ultra-Reliable and Low-Latency Use Cases of 5G Systems

Arti Sharma, Mohammad Salim
Volume 7, Issue 3, August 2019, Pages 93-99
Polar code is considered as a major breakthrough of past decade in channel coding area. The unprecedented performance of polar codes compelled third generation partnership project (3GPP) to adopt the polar codes for control channels functions in one of the fifth generation (5G) scenario enhanced mobile...

Semantic Schema Matching for String Attribute with Word Vectors and its Evaluation

Kenji Nozaki, Teruhisa Hochin, Hiroki Nomiya
Volume 7, Issue 3, August 2019, Pages 100-106
Instance-based schema matching is to determine the correspondences between heterogeneous databases by comparing instances. Heterogeneous databases consist of an enormous number of tables containing various attributes, causing the data heterogeneity. In such cases, it is effective to consider semantic...

“Never fry carrots without chopping” Generating Cooking Recipes from Cooking Videos Using Deep Learning Considering Previous Process

Tatsuki Fujii, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga
Volume 7, Issue 3, August 2019, Pages 107-112
Research on deep-training captioning models that modify the natural-language contents of images and moving images has produced considerable results and attracted attention in recent years. In this research, we aim to generate recipe sentences from cooking videos acquired from YouTube. We treat this as...

Do You Like Sclera? Sclera-region Detection and Colorization for Anime Character Line Drawings

Masashi Aizawa, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga
Volume 7, Issue 3, August 2019, Pages 113-120
Colorizing line drawings requires special skill, experience, and knowledge. Artists also spend a great deal of time and effort creating art. Given this background, research on automated line drawing colorization was recently conducted. However, the existing approaches present multiple problems, one of...

Defects and Vulnerabilities in Smart Contracts, a Classification using the NIST Bugs Framework

Wesley Dingman, Aviel Cohen, Nick Ferrara, Adam Lynch, Patrick Jasinski, Paul E. Black, Lin Deng
Volume 7, Issue 3, August 2019, Pages 121-132
Rising to popularity in the last decade, blockchain technology has become the preferred platform for the transfer of digital currency. Unfortunately, many of these environments are rife with vulnerabilities exploited by financially motivated attackers. Worse yet, is that a structured analysis and classification...

Utilizing Type-2 Fuzzy Sets as an Alternative Approach for Valuing Military Information

Timothy P Hanratty, Robert J Hammell
Volume 7, Issue 3, August 2019, Pages 133-139
Knowledge elicitation from a group versus a single source typically yields outcomes that range in agreement and promote a level of uncertainty. Recently, the use of Type-2 fuzzy sets has been proffered as an alternative approach for capturing the difference of opinions expressed by a group of experts...

Design and Implementation of an IoT-Based Smart Home Security System

Mohammad Asadul Hoque, Chad Davidson
Volume 7, Issue 2, April 2019, Pages 85-92
Recent advances in smartphones and affordable open-source hardware platforms have enabled the development of low-cost architectures for Internet-of-Things (IoT)-enabled home automation and security systems. These systems usually consist of sensing and actuating layer that is made up of sensors such as...

An Improved Semantic Role Labeling for Myanmar Text

Zin Mar Kyu, Naw Lay Wah
Volume 7, Issue 2, April 2019, Pages 51-58
The semantic role labeling plays a key role to extract semantic information from language text for the purpose of information retrieval, text summarization, plagiarism test, etc. This paper presents two main parts: MynNet and semantic role labeling. MynNet, which is a FrameNet for Myanmar language is...

Character Segmentation and Recognition for Myanmar Warning Signboard Images

Kyi Pyar Zaw, Zin Mar Kyu
Volume 7, Issue 2, April 2019, Pages 59-67
This paper publicizes the character segmentation and recognition of the Myanmar warning text signboard images taken by a mobile phone camera in natural scene. In this system, two templates are created. The first template that contains both connected pixel words and characters are used for character segmentation...

A Formal Model of Distributed Security for Electronic Commerce Transactions Systems

Sylvanus A. Ehikioya, Adepele A. Olukunle
Volume 7, Issue 2, April 2019, Pages 68-84
Every distributed system requires a secure environment for its users. Security becomes even more important if users exchange sensitive information and value, across the network. An e-commerce environment is an example of a distributed system in which security is of a high priority. It is important that...

Satellite Image Based Characterization for Monitoring Urbanization and Land Cover Change

Farhan Rahman Wasee, Rahman Mohammad Asif Amin, Zareen Tasnim Raisa, Sadia Chowdhury, Tanisha Nourin Alam, Rashedur Mohammad Rahman
Volume 7, Issue 1, December 2018, Pages 1-10
Land surface processes have become a great concern in the context of global change and increased natural hazards all over the world. In this paper, dynamic characteristics of land cover changes have been investigated over a period of about three and half decades (1972–2016). This study focuses on the...

Discrete Differential Evolution Algorithm with the Fuzzy Machine Selection for Solving the Flexible Job Shop Scheduling Problem

Ajchara Phu-ang
Volume 7, Issue 1, December 2018, Pages 11-19
The objective of the research is to solve the flexible job shop scheduling problem (FJSP). In this paper, the new algorithm is proposed mainly based on discrete concepts of the differential evolution (DE) algorithm with the new idea called the fuzzy machine selection approach. In the first step, the...

Kernel and Range Approach to Analytic Network Learning

Kar-Ann Toh
Volume 7, Issue 1, December 2018, Pages 20-28
A novel learning approach for a composite function that can be written in the form of a matrix system of linear equations is introduced in this paper. This learning approach, which is gradient-free, is grounded upon the observation that solving the system of linear equations by manipulating the kernel...

Modified Ant Colony Optimization Algorithm for Multiple-vehicle Traveling Salesman Problems

Yindee Oonsrikaw, Arit Thammano
Volume 7, Issue 1, December 2018, Pages 29-36
In this work, we extended the original Traveling Salesman Problem (TSP) to cover not only the case of multiple vehicles but also to constrain the minimum and maximum numbers of cities each vehicle can visit. Our algorithm is a modified Ant Colony Optimization (ACO) algorithm which has the ability to...

Floor Heating Customer Prediction Model Based on Random Forest

Zhihuan Yao, Xian Xu, Huiqun Yu
Volume 7, Issue 1, December 2018, Pages 37-42
Nowadays floor heating service is increasingly attracting both residents in cold areas and gas companies for market profits. With the aggravation of market-oriented competition, the gas companies are actively seeking service transformation. It is of great significance to gas companies to be able to forecast...