• Journal of Internet Computing and Services
• /
• v.22 no.5
• /
• pp.27-33
• /
• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.

• The Journal of Society for e-Business Studies
• /
• v.16 no.3
• /
• pp.47-66
• /
• 2011

This study empirically investigates the antecedents and outcomes of choice satisfaction in the context of choosing and using the broadband Internet network services. Hypotheses are tested with regression models analyzing a survey data of 481 consumers of the broadband Internet network services in Korea. Our results show that choice satisfaction is affected by choice contexts while service satisfaction is not. Choice satisfaction is as important as service satisfaction for formation of switching intentions whereas it is less important for formation of recommendation intentions. Also, consumers characteristics are reported for those whose service satisfaction and choice satisfaction are not consistent. Choice satisfaction is a distinctive concept different from service satisfaction. Marketers can make consumers more satisfied not only managing delivery of services but also by managing their choice contexts. That will increase the loyalty of their consumers. This study finds unique determinants of choice satisfaction. Further studies are needed to clarify boundary conditions regarding the effects of choice contexts on choice satisfaction.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.8
• /
• pp.2030-2052
• /
• 2023

Analysis of a bipartite (two-mode) network is a significant research area to understand the formation of social communities, economic systems, drug side effect topology, etc. in complex information systems. Most of the previous works talk about a projection-based model or latent feature model, which predicts the link based on singular similarity. The projection-based models suffer from the loss of structural information in the projected network and the latent feature is hardly present. This work proposes a novel method for link prediction in the bipartite network based on an ensemble of composite similarities, overcoming the issues of model-based and latent feature models. The proposed method analyzes the structure, neighborhood nodes as well as latent attributes between the nodes to predict the link in the network. To illustrate the proposed method, experiments are performed with five real-world data sets and compared with various state-of-art link prediction methods and it is inferred that this method outperforms with ~3% to ~9% higher using area under the precision-recall curve (AUC-PR) measure. This work holds great significance in the study of biological networks, e-commerce networks, complex web-based systems, networks of drug binding, enzyme protein, and other related networks in understanding the formation of such complex networks. Further, this study helps in link prediction and its usability for different purposes ranging from building intelligent systems to providing services in big data and web-based systems.

• Journal of Internet Computing and Services
• /
• v.24 no.5
• /
• pp.51-66
• /
• 2023

In this paper, we propose a new type of process discovery framework, which is named as control-path-driven process group discovery framework, to be used for process mining and process reengineering in supporting life-cycle management of business process models. In addition, we develop a process mining system based on the proposed framework and perform experimental verification through it. The process execution event logs applied to the experimental effectiveness and verification are specially defined as Process BIG-Logs, and we use it as the input datasets for the proposed discovery framework. As an eventual goal of this paper, we design and implement a control path-driven process group discovery algorithm and framework that is improved from the ρ-algorithm, and we try to verify the functional correctness of the proposed algorithm and framework by using the implemented system with a BIG-Log dataset. Note that all the process mining algorithm, framework, and system developed in this paper are based on the structural information control net process modeling methodology.

• The Journal of Information Systems
• /
• v.19 no.4
• /
• pp.167-181
• /
• 2010

Although This study was designed to evaluate internet communities based on knowledge creation and learning. To do so, we created and tested our research model, by using selected 20 different knowledge communities. Using the K-Means Clustering techniques, we found different characteristics and evaluated these characteristics by the criterion. The results of discriminant analysis suggested 4 different models such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' The results of this study indicated that it can cover some reasons for development process of knowledge communities and that it can also create a strategic framework for practical use of knowledge communities.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.1
• /
• pp.331-343
• /
• 2015

We propose a distributed medium access control protocol for cognitive radio networks to opportunistically utilize multiple channels. Under the proposed protocol, cognitive radio nodes forecast and rank channel availability observing primary users' activities on the channels for a period of time by time series analyzing using smoothing models for seasonal data by Winters' method. The proposed approach protects primary users, mitigates channel access delay, and increases network performance. We analyze the optimal time to sense channels to avoid conflict with the primary users. We simulate and compare the proposed protocol with the existing protocol. The results show that the proposed approach utilizes channels more efficiently.

• Journal of Korea Multimedia Society
• /
• v.6 no.6
• /
• pp.1025-1033
• /
• 2003

The CDN is proposed as a solution of network bottleneck problem resulting from the rapid growth of Internet user and multimedia contents on the Internet. This paper suggests MDC and path diversity between CDN Edge server and end-user, and multicast transmission among CDN servers based on CDN infrastructure. It may be a solution for reliable and fast transmission of rich multimedia contents. These research will support to solve the unreliable transmission problem of multicasting and to create the new business models in the field of web contents.

• The Journal of Information Systems
• /
• v.15 no.2
• /
• pp.31-47
• /
• 2006

The Internet has been developed interactive media for electronic commerce. This progress is affected by the growth and adoption of virtual community technology, real time dialogue, and video conference etc. Recently, 'blogs' are rapidly diffusing to personal media on the internet. In this paper, we first review the previous research relevant to 'blogs', and then analyze the business models for blog systems presented by previous researchers. We develop a yard-sale shopping mall on the basis of analysis, design, and implementation of blog application for e-commerce, using Mcrosoft ASP.Net. This article describes the yard-sale shopping mall on a blog, presents an example of its abilities, and describes planned future research.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.8
• /
• pp.3992-4005
• /
• 2018

In our current information-based society in which knowledge is a fundamental asset to production, the capability to utilize information and produce knowledge with the use of information technology (IT) has become essential to learning. Massive Open Online Courses (MOOCs) have recently been introduced in light of such changes and are recognized as an alternative to open education. MOOCs' capabilities are being acknowledged in lifelong education in terms of reeducation and knowledge sharing, and also in terms of improving teaching quality, and improving university students' levels of creativity and integrated thinking by supporting high-level content and teaching. Therefore, this study presents an extended research model that combines information system (IS) continuance and task-technology fit models. Our study researches previous literature, revealing factors of continuous use after accepting MOOCs from the learner's perspective, and analyzes the model empirically. The ideal environment for MOOCs learners is evaluated, and a strategic approach to the successful settlement and diffusion of MOOCs is presented based on this study's findings.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.6 no.2
• /
• pp.81-89
• /
• 2010

The major worldwide communication network operators have designed and are building up the NGN with various network capabilities, which conventional Internet do not have. The open network service model makes these network capabilities available to the third party of the value added service providers through the standardized API providing users with more intelligent and enhanced services. This paper proposes the open network service model as NaaS (Network as a Service) and examines service models of several levels. It is believed that these efforts presented in this paper will make the network operators expand their service ranges through the opening of invested network resources producing more various communication services for users.