International Journal of Networked and Distributed Computing

In this paper, the parameter optimization problem for face-milling operations is studied. A multi-objective mathematical model is developed with the purpose to minimize the unit production cost and total machining time while maximize the profit rate. The unwanted material is removed by one finishing...

One of the typical goals of the 5G mobile communication system1 is to establish an Internet of Things (IoT)2 environment in which all objects are connected to the network to generate and share information through not only mobile terminals but also mobile communication infrastructure. 5G must support...

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...

This paper proposes the system enabling users to use heterogeneous databases in an integrated manner without any conversion and servers. In order to treat a variety of sources in a unified manner, this system is realized by using Java Database Connectivity (JDBC) in accessing databases on the user’s...

A trace contains sample points, some of which contain useful information that can be used to obtain a key in side-channel attacks. We used public datasets from the ANSSI SCA Database (ASCAD) as well as SM4 traces to learn whether a trace consisting of Points of Interest (POIs) have a positive effect...

Location-based services have become important in social networking, mobile applications, advertising, traffic monitoring, and many other domains. The growth of location sensing devices has led to the vast generation of dynamic spatial-temporal data in the form of moving object trajectories which can...

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...

Many Advisor Systems have been designed and developed to assist us in decision-making, each with their strengths and weaknesses. A popular type of Advisor systems is Travel Advisor systems that assist travelers in their travel arrangements. We have designed and implemented a Travel Advisor system to...

Large-scale adoption of MapReduce applications on public clouds is hindered by the lack of trust on the participating virtual machines deployed on the public cloud. In this paper, we propose IntegrityMR, a multi-public clouds architecture-based solution, which performs the MapReduce-based result integrity...

In this paper, an incremental data migration technique is evaluated in the multi-database system based on MySQL with SPIDER storage engine and the improvement of the turn-around times of other operations is proved in this systems. In this method, a large data migration is divided into small data migrations...

To support successful quality managements of open source software (OSS) projects, this paper proposes to measure the balance of developers’ contributions to a source file as an entropy. Through an analysis of data collected from 10 popular OSS projects, the following trends are reported: a source file...

Although by the end of 2020, most of companies will be running 1000 node Hadoop in the system, the Hadoop implementation is still accompanied by many challenges like security, fault tolerance, flexibility. Hadoop is a software paradigm that handles big data, and it has a distributed file systems so-called...

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...

Location Based Service (LBS) is gaining popularity. As one fundamental LBS service, range search returns all Point of Interests (POIs) within a user-specified range. However, people leave their location privacy at risks when using range search. How to provide a high-quality range search service while...

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...

The advances of Graphic Processing Units (GPU) technology and the introduction of CUDA programming model facilitates developing new solutions for sparse and dense linear algebra solvers. Matrix Transpose is an important linear algebra procedure that has deep impact in various computational science and...

A high-level associative memory modelling method was developed to explore the realization of associative memory. In the proposed method, two stage procedures are progressively performed to construct a unified associative knowledge network. In the first stage, some direct weighted associative links are...

Much of information sits in an unprecedented amount of text data. Managing allocation of these large scale text data is an important problem for many areas. Topic modeling performs well in this problem. The traditional generative models (PLSA,LDA) are the state-of-the-art approaches in topic modeling...

In RFID system a tag is attached to an object which might own by a number of owners during its life time. This requires the RFID system to transfer ownership of the tag to its new owner. The ownership transfer has to protect privacy of current and new owner. Many ownership tag ownership transfer exists...

Cloud computing has been considered as one of the large-scale platforms that support various type of services including compute, storage, compute, and analytic to the users and organizations with high agility, scalability, and resiliency intact. The users of the Cloud are increasing at an enormous rate...

Twitter, Social Networking Site, becomes most popular microblogging service and people have started publishing data on the use of it in natural disasters. Twitter has also created the opportunities for first responders to know the critical information and work effective reactions for impacted communities....

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...

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...

Neural Networks have been performing state of the art for almost a decade now; when it comes to classification and prediction domains. Within last few years, neural networks have been improved tremendously and their performance is even better than humans in some domains, e.g. AlphaGo vs Lee Sedol and...

Image processing applications have played a vital role in modern life and they are required to be well tested due to their significance and human dependence on them. Testing of image processing application is difficult due to complex nature of images in terms of their generation and evaluation. The presented...

Program bugs may result in unexpected software error, crash or serious security attack. Static program analysis is one of the most common methods to find program bugs. In this paper we present MLSA -- a static analysis tool based on LLVM Intermediate Representation (IR), which can analyze programs written...

Cloud computing is an emerging model of business computing that can be used to maintain configurable resources such as processors, networks, storage, operating systems, databases, and servers. Service oriented Architecture (SoA) is one of most successful paradigms deployed over the Cloud; is a layered...

The Personal Health Record (PHR) could be seen as a preventive care solution to the incoming aging society. The blockchain-based PHR system has been proposed recently to enhance the security and privacy for the PHR data. Consequently, the performance becomes a concern for blockchain-PHR integration because...

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...

Bare bones particle swarm optimization is a parameter-free swarm intelligence algorithm which is famous for easy applying. It has aroused wide concern of academic circle on its principles and applications in recent years. However, losing the diversity quickly still causes the premature convergence in...

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...

Peer-to-peer (P2P) electronic commerce has become increasingly popular over the last few years. This popularity of P2P is due mainly to the many advantages it offers, such as the ease of sharing of computer resources and reducing cost. This paper uses both semi-formal and formal specification methods...

Omni-directional walking is an important part for biped robots. Whereas, the problems of complex model, low stability, low flexibility, etc., existing in walking planning of biped robots, attract interests of many researchers. This paper proposes an adaptive omni-directional walking method with fuzzy...

Wireless Sensors Networks (WSNs) are utilized in many diverse applications ranging from security, environmental monitoring, landslide detection, patient monitoring, reconnaissance operations, structural health monitoring and smart buildings. Since in many applications the WSN nodes are randomly deployed,...

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mobile...

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...

Web services bring more conveniences for users and developers. However, it makes user face the problem of service information explosion. The personalized service recommendation solves the problem. This paper proposes a mechanism to evaluate Web service composition’s reliability which bases on user context...

This article presents the threshold-based incremental learning model for a case-base updating approach that can support adaptive detection and incremental learning of Case-based Reasoning (CBR)-based automatic adaptable phishing detection. The CBR-based adaptive phishing detection model detects the phishing...

Due to its constrained nature, the use of smart RFID technology introduces tremendous security and privacy issues. This paper presents IMAKA-Tate: Identity protection, Mutual Authentication and Key Agreement using Tate pairing of Identity-based Encryption method. It is designed to tackle various challenges...

Distiguishing analysis is an important part of cryptanalysis. It is an important content of discriminating analysis that how to identify ciphertext is encrypted by which cryptosystems when it knows only ciphertext. In this paper, Fisher’s discriminant analysis (FDA), which is based on statistical method...

This research proposes a new Big File Cloud (BFC) with its architecture and algorithms to solve difficult problems of cloud-based storage using the advantages of key-value stores. There are many problems when designing an efficient storage engine for cloud-based storage systems with strict requirements...

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...

Recently, driving support technologies have been practically used. However, a problem has been pointed out that when a vehicle is connected with an external network, the safety of the vehicle is threatened. Ensuring the security of in-vehicle systems becomes an important priority. The present study proposes...

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...

This paper proposes a framework for constructing pet knowledge maps. The schema concept layer is designed and built top-down, and the data layer is constructed from knowledge extracted from semi-structured and unstructured data. In the aspect of entity extraction of unstructured data, a symptom-named...

Compare the WSN with other conventional network system, the changing or charging the existing battery of sensor node within WSN is a tough job. Therefore, since last decade the effort has been made to design and introduce a large number of communication protocol for WSN with given concern on the performance...

In this paper, a novel self-organizing map (SOM) named “One-D-R-A-G-SOM” is proposed. It is a kind of one dimensional ring type growing SOM using asymmetric neighborhood function. As the topology of one dimensional ring type feature map is more suitable to increase or decrease the number of units, and...

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...

Recently, the research of Hybrid ReRAM/MLC NAND SSD is rapidly expanding into the storage areas. Most existing researches of Hybrid SSD are based on a single storage, while the management of multiple nodes like HDFS is still immature. In this paper a new efficient cold data eviction scheme is proposed...

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,...

The increasing popularity of the Internet and e-commerce makes online merchants to constantly seek tools that would permit them to attract new and retain old customers. Traffic tracking and analysis tools can help businesses know more about their customers. These tools track visitors’ behaviors on Web...

Fast Search and Find of Density Peaks (FSFDP) is a newly proposed clustering algorithm that has already been successfully applied in many applications. However, this algorithm shows a dissatisfactory performance on large dataset due to the time-consuming calculation of the distance matrix and potentials....

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...

Component-based Software Engineering (CBSE) is currently a key paradigm used for developing safetycritical systems. It provides a fundamental means to master systems complexity, by allowing to design systems parts (i.e., components) for reuse and by allowing to develop those parts independently. One...

Content caching is one of the most significant features of Named Data Networking (NDN) that improves the performance. However, this feature makes the cache vulnerable to attacks that determine the recent cache access pattern. In cache privacy attack, an attacker can probe request and determine if the...

In this research we propose to use ontology to improve the performance of an EBMT system for low-resource language pair. The EBMT architecture use chunk-string templates (CSTs) and unknown word translation mechanism. CSTs consist of a chunk in source-language, a string in target-language, and word alignment...

This paper studies the load balancing problem in distributed systems designed for massively multiplayer online role-playing games (MMORPGs). More concretely, we consider a distributed system of master- worker type in which each worker is associated with a particular region in the game field, and propose...

Demand Response (DR) has been extensively studied as one of the important features of smart grid. The DR strategies can be grouped into two categories, one is incentive-based DR and the other is pricing-based DR. Our work focuses on DR involving both pricing factor and incentive factor using scoring...

Object extraction has a crucial role in various visual semantic scenarios. In this paper, we propose a system for object extraction which can deal with an object partly occluded by other objects. In order to estimate the hidden part of the occluded object, the system combines different types of contour...

This paper introduces the practical guidelines for function point analysis in the Republic of Korea. Korean government recommends that Function Point Analysis should be adopted as a standard method for measuring the functional size of software. Function Point was proposed by an international organization....

We propose a novel approach by utilizing human-computer interaction data to extract user interests from web-based learning systems. The proposed approach is based on user access and a wearable context recognition system. Under our approach, a series of screen images are captured by an imaging device...

As the cost for wireless sensors and wireless sensor networks (WSNs) have decreased, they have become more ubiquitous; they are increasingly being used in many applications such as security, structural monitoring and environmental monitoring. Many WSN applications employ a random sensor deployment to...

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...

Verification is critical to the design of large and complex systems. SPIN is a well-known and extensively used verification tool. In this paper, we consider two tool chains, one existing, WSAT, and one introduced here, that support using SPIN to model check systems specified as Simulink Stateflow models....

While many interfaces for gaze writing (text entry by eye gaze) are available today, these interfaces are just a replacement of a keyboard. For more efficient gaze writing, this paper proposes a novel gaze writing system which has two kinds of gaze writing interfaces: (1) an interface for text entry...

Checkpoint/restart has been an effective mechanism to achieve fault tolerance for many long-running scientific applications. The common approach is to save computation states in memory and secondary storage for execution resumption. However, as the GPU plays a much bigger role in high performance computing,...

This research proposes the methodology to extract common configuration parameter set by applying multiple benchmarking applications include TeraSort, TestDFSIO, and MrBench on the Hadoop distributed file system. The parameter search space conceptually conducted named Ω(x) to hold status of all parameter...

Scheduling is one of the most important issues in the operating system, such as the tasks must be affected to the appropriate virtual machines, considering different factors at the same time to ensure better use of resources. A lot of research has been carried out to propose more efficient task scheduling...

In recent years, with the rapid development of the network hardware and software, the network speed is enhanced to multi-gigabit. Network packet filtering is an important strategy of network security to avoid malicious attacks, and it is a computation-consuming application. Therefore, we develop two...

As reflected by the TOP500 list, hypercubes are popular interconnection networks for massively parallel systems, the main reason being the simplicity and ease of implementation of this network topology. In order to retain performance high and avoid bottleneck situation, routing algorithms are critical...

Facial expression recognition (FER) has been widely studied since it can be used for various applications. However, most of FER techniques focus on discriminating typical facial expressions such as six basic facial expressions. Spontaneous facial expressions are not limited to such typical ones because...

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,...

This paper presents a systematic literature review of platooning systems with a special focus on the strategies which have been adopted to validate platooning algorithms. We collect the existing studies in the platooning field. The proposed algorithms are compared based on some criteria including platooning...

Comment posting is one of the main features found in social media. Comment responses enrich the social network function especially for how-to content. In this work, we focus on cooking video clips which are popular among users. Various questions found in comments need to be clustered in order to facilitate...

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:...

As the size of high performance applications increases, four major challenges including heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the underlying distributed systems. To tackle with all of them without sacrificing performance, traditional approaches in resource...

Pointing behavior in childhood is typical developmental sign having strong correlation to his or her language development. This paper focuses on the pointing behavior accompanied by utterance during picture book reading. With this respect, we make use of picture books’ review data amounting to approximately...

This paper presents ways to assure the efficacy of managing crypto links and crypto speed with respect to the dependability of blockchain. The dependability in this work is defined with reference to crypto links in a proportional manner and crypto speed in an inversely proportional manner, respectively....

Many/multi-core supercomputers provide a natural programming paradigm for hybrid MPI/OpenMP scientific applications. In this paper, we investigate the performance characteristics of five hybrid MPI/OpenMP scientific applications (two NAS Parallel benchmarks Multi-Zone SP-MZ and BT-MZ, an earthquake simulation...

In this paper we propose an energy efficient clustering algorithm for maximizing the lifetime of WSNs. The proposed scheme decides the cluster head based on the energy level of the nodes, while tree topology is adopted to connect the nodes inside each cluster. A new model for deciding an optimal number...

Secure communication is one of the main challenges of ad hoc Vehicle Networks (VANET). Intrusion detection of malicious nodes is one of the solutions to secure communication in VANETs using hybrid architecture (V2V and V2I). This article proposes an approach based on game theory, in particular the “Tit-for-Tat”...

Robotic manipulators are becoming increasingly popular nowadays with applications in almost every industry and production line. It is difficult but essential to create a common algorithm for the different types of manipulators present in today’s market so that automation can be achieved at a faster rate....

Resting-state functional magnetic resonance imaging (rs-fMRI) has shown aberrant brain functional networks at a conventional low-frequency range (0.01-0.08 Hz) in individuals with generalized tonic-clonic seizure (GTCS). However, it is unclear how functional networks hubs change across different frequency...

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....

Human activity recognition is an emerging field of ubiquitous and pervasive computing. Although recent smartphones have powerful resources, the execution of machine learning algorithms on a large amount of data is still a burden on smartphones. Three major factors including; classification algorithm,...

Recently, SSD caching is widely studied for VM-based systems. In this paper we propose a novel hypervisor-based SSD caching scheme, employing a new metric to accurately determine the demand on SSD cache space of each VM. Computer simulation confirms that it substantially improves the accuracy of cache...

Since distributed stream analytics is treated as a kind of cloud service, there exists a pressing need for its reliability and fault-tolerance, to guarantee the streaming data tuples to be processed in the order of their generation in every dataflow path, with each tuple processed once and only once....

It is a quite tough task to detect the stolen programs since there is a quite huge number of programs in the world. The dynamic software birthmarks were proposed to detect the suspects of plagiarisms based on the runtime behavior of the programs. The detection process with the dynamic birthmarks is composed...

Service Economics has been successfully proposed and implemented for promoting the macro service market especially in Global value chains which however don’t provide guidance to and integrate directly with the IT side implementation to achieve coherent information coordination and robust adaptability...

Various cross-layer optimization schemes have been proposed for the purpose of enhancing wireless network performances. In this paper, we present an improved autonomous cross-layer optimization to fit modern heterogeneous communication networks. In our design, different Quality of Service (QoS) requirements...

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...

This paper proposes a hybrid approach of ontology and image clustering to automatically generate hierarchic image database. In the field of computer vision, ”generic object recognition” is one of the most important topics. Generic object recognition needs three types of research: feature extraction,...

The Identifier Renaming Method (IRM) is a well-used obfuscation method since almost obfuscation tools use the algorithm, and easy to implement. The IRM transforms the identifier names in the programs to meaningless names in order to hard to understand. However, the evaluations against attacks such as...

In recent years, because of the popularity of Internet and the rapid growth of multimedia applications, the requirements of bandwidth from users increase violently in optical networks. Various multicast multimedia services also bring challenges to next generation optical networks. As the rapid advance...

In order to reduce data maintenance overhead, more and more enterprises outsource their data to the cloud storage, which provides flexible and on-demand storage service for companies. Data outsourcing also brings a lot of security problems, of which query integrity is a critical issue to be resolved....

It has very important practical significance to analyze and research minority costume from the perspective of computer vision for minority culture protection and inheritance. As first exploration in minority costume image retrieval, this paper proposed a novel image feature representation method to describe...

Recent developments in radiation therapy have been focused on applications of charged particles, especially protons. Proton therapy can allow higher dose conformality compared to conventional radiation therapy. Over the years several dose calculation methods have been proposed in proton therapy. A common...

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...

This paper proposes an efficient handover scheme considering the asymmetric characteristics of macro and pico cells in LTE-A HetNet. The proposed scheme detects a suitable target eNB for handover using a multi-criteria decision making algorithm and the mobility information of user equipment (UE). A prompt...