• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.1-18
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• 2016

Collaborative Filtering (CF) predicts the focal user's preference for particular item based on user's preference rating data and recommends items for the similar users by using them. It is a popular technique for the personalization in e-commerce to reduce information overload. However, it has some limitations including sparsity and scalability problems. In this paper, we use a method to integrate social network information into collaborative filtering in order to mitigate the sparsity and scalability problems which are major limitations of typical collaborative filtering and reflect the user's qualitative and emotional information in recommendation process. In this paper, we use a novel recommendation algorithm which is integrated with collaborative filtering by using Social SVD++ algorithm which considers social network information in SVD++, an extension algorithm that can reflect implicit information in singular value decomposition (SVD). In particular, this study will evaluate the performance of the model by reflecting the real-world user's social network information in the recommendation process.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.11-21
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• 2012

Hybrid network infrastructure has been deployed as the most important technology for the advanced research networking community such as Internet2, SURFnet, etc. However, further research needs to be performed in terms of feasible design and implementation of architecture for inter-domain collaborative network infrastructure, which is essential to end-to-end collaborative research based on high-end applications. In this paper, we suggest a framework for distributed and virtual network operations based on hybrid research networks and efficient cooperation between multi-domain hybrid networks, which aims to provide collaborative network environment for high-end applications. Suggested framework is designed to adopt decentralized model of multi-domain hybrid research network management. A collaborative and distributed virtual model that is characterized by cooperation among hybrid research networks that insist on maintaining their autonomy and control, can also contribute for researchers and other end-users to manage and operate their own virtual networks.

• Agribusiness and Information Management
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• v.3 no.1
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• pp.1-10
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• 2011

In this exploratory analysis, we investigate the genesis and the evolution of local food-purchasing networks created and operated by consumers. In details, we describe how collecting and sharing information about food-products can become a central activity for some consumers' communities and how these communities are starting to play an active role in the food supply chain. We define this community-based food-purchasing model as collaborative food network (CFN), and we analytically describe its characteristics and differences with respect to the traditional and industrialized agrifood supply chain models. A collaborative food network community in Italy, known as GAS ("Gruppi di Acquisto Solidale" - "Solidarity Purchasing Groups"), is introduced as an example of our analytical model. We will use this empirical example to present the strengths and weaknesses of the CFN model.

• Korean Journal of Construction Engineering and Management
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• v.15 no.1
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• pp.70-77
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• 2014

Collaborative processes among team members including communication, coordination, and information-handling processes either during pre-construction or project execution are required in order to accomplish the objectives of construction projects. However, current construction management practice does not explicitly take the effect of organizational aspects on project performance into account. This paper introduces a method to understand collaborative processes in an explicit and systematic fashion. An agent-based simulation of collaborative working processes within construction project teams was designed from game theory perspective and implemented. The simulation produced both individual behavior and network dynamics. Individuals represented as agents made efforts to improve performance by communication and coordinating with other members, and overall team network was emerged as a result of interactions among members. Interestingly, it was found that the tendency of forming cohesive subgroups increased when sustaining relations with between-group partners incurs higher cost. The primary contribution of this paper is that it presented an explicit approach to examining collaborative working processes in construction project teams and it extended existing computational organization and network studies by integrating individual behavior models and network models.

• Journal of Korean Library and Information Science Society
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• v.36 no.4
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• pp.329-347
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• 2005

Collaborative Digital Reference Service( CDRS) has spread worldwide as a tool of obtaining high-quality information in knowledge information society KISTI formed CDRS collaboration model called Question포인트+ with 4 institutions in Korea. In Question포인트+ which is also linked to the Global Network, the domestic and oversea information specialists answer a variety of questions in response of the requests of users on the web. The implementation of Question포인트+ is significant as the first domestic CDRS collaboration model, and contribute to management, dissemination, and activation of CDRS in Korea.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.743-748
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• 2011

In this paper, we propose a collaborative tracking algorithm for intelligent video surveillance systems using the multiple network cameras. To do this, each camera detects a moving object and it's movement direction by motion templates. Once a moving object is detect, the Kalman filter is used to reduce noises, and a collaborative tracking camera is selected according to the movement direction and the camera state. In this procedure, Pan-Tilt-Zoom(PTZ) parameters are assigned to obtain clear images. Finally, some experiments show the validity of the proposed method.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.93-107
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• 2014

Interests on collaborative research and academic relationship among researchers have been increased. Collaborative researchers can maximize productivity, time and cost savings, and reduce the risk of research. An empirical study on the research productivity of co-authors' network and review efficiency of the reviewer network was conducted based on co-author networks and reviewer networks in Korea Society of IT Service. This study aims to find the characteristics of the co-author and reviewer networks, and to analyze research productivity and review efficiency in order to draw some implications. The meaning of interactions among professional groups was analyzed. Research productivity index was calculated using 728 authors' papers submitted to the society. In order to verify the effects of indicators of social network analysis on research productivity and review efficiency, correlation and regression analyses were used. As a result, the indicators of network centrality did not affect the review efficiency, but affect the research productivity.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.33-39
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• 2012

The purpose of this study is to investigate the effect of SNS(Social Network Service) on individual learning performance. To do this, we distribute and collect data by using a survey method. Research results suggest that online social networking engagement and acculturation have an effect on interaction quality with professors. Interaction quality with professors influences individual learning performance as well as collaborative learning. The conclusion and implications are discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.99-104
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• 2014

In this paper, the authors propose a multi-transmission mechanism of heterogeneous network environment which is applicable to the SMART screen services over wire and wireless convergence network. This paper presents study results including a SMART screen handover algorithm among multiple collaborative devices under wire and wireless convergence and heterogeneous network environment, and a service operation and management system and a NAS system providing SMART services of AV streaming and contents files. These validate implementation feasibility of a call processing engine for seamless SMART screen collaborative services, AV streaming services and SMART screen collaborative services supporting mobility management and multiple users/multiple streams.

• Nuclear Engineering and Technology
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• v.50 no.4
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• pp.599-605
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• 2018

Fault diagnosis depends critically on the selection of sensors monitoring crucial process variables. Boolean network (BN) is composed of nodes and directed edges, where the node state is quantized to the Boolean values of True or False and is determined by the logical functions of the network parameters and the states of other nodes with edges directed to this node. Since BN can describe the fault propagation in a sensor network, it can be applied to propose sensor selection strategy for fault diagnosis. In this article, a sufficient condition for parameter identifiability of BN is first proposed, based on which the sufficient condition for fault identifiability of a sensor network is given. Then, the fault identifiability condition induces a sensor selection strategy for sensor selection. Finally, the theoretical result is applied to the fault diagnosis-oriented sensor selection for a nuclear heating reactor plant, and both the numerical computation and simulation results verify the feasibility of the newly built BN-based sensor selection strategy.