• KIISE Transactions on Computing Practices
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• v.22 no.8
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• pp.357-362
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• 2016

A social network or bio network is one of the complex networks that are formed by connecting specific relationships between interacting objects. Usually, these networks consist of community structures. Automatically detecting the structures is an important technique to understand and control the interaction objects. However, the topologies and structures of the networks change by interactions of the objects, with respect to time. Conventional techniques for finding the community structure have a high computational complexity. Additionally, the methods inefficiently deal with repeated computation concerning graph operation. In this paper, we propose an incremental technique for detecting interaction-based communities in dynamic networks. The proposed technique is able to efficiently find the communities, since there is an awareness of changed objects from the previous network, and it can incrementally reuse the previous community structure.

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.409-416
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• 2002

The reuse by using framework is proposed to improve productivity. It is a set of usable and expandable classes and their connectivity. But frameworks are described with programming languages, it is hard for developers to learn the collaborative patterns of a framework by reading it. Patterns are one approach to improving the documentation. But this should be redesigned to expand and redefine the framework. The necessity of the formal description of architecture information is being proposed to relate to programming language. This paper support the following points. First of all, it has been proposed the description of the needed elements when developing a framework using ADL. Secondly, the current development process has been refined to be suitable for developing the domain framework. Thirdly, it has been proposed the development of a application using a framework implemented by an architecture information described with ADL. Overalls, the main contents of this research is defining the ideas of a description and development of an architecture framework using ADL.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.203-211
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• 2006

Today, Internet covers a world wide range and most appliances of our life are linked to network from enterprise server to household electric appliance. Therefore, the importances of administrable framework that can grasp network state by real-time is increasing day by day. Our objective in this paper is to describe a network weather report framework that monitors network traffic and performance state to report a network situation including traffic status in real-time. We also describe a mobile agent architecture that collects state information in each network segment. The framework could inform a network manager of the network situation. Through the framework. network manager accumulates network data and increases network operating efficiency.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.6
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• pp.135-149
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• 2006

Securing wireless Ad hoc network including the secure mechanism design and implementation is generally more difficult for vulnerability of channels and nodes, the absence of infrastructure, topology that change dynamically, and etc, than ire network. The efforts of early researches are based on the adaptation of securing methods for the wire network to wireless ad hoc network. However, wireless ad hoc network could not get effective study finding because network has essential problems. This paper proposes that some new problems are being came to light over the survivability and availability of the network itself, that are caused by the massive packet attack of more than one or two nodes, and proves the consequence of this phenomenon. Also, we propose an effective prevention mechanism of masquerade attacks for survivability reinforcement that escape standard of the early way by survivability of wireless Ad hoc network and approaches for performance elevation and reflect special quality of wireless Ad hoc network.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.255-264
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• 2022

With the development of information and communication technology, smart devices, and COVID-19 pandemic, organizations and individuals using Smart Work are increasing. Constant connectivity has become commonplace while using smart devices such as smart phone and tablet PC, and based on this, workers can communicate and exchange data and information anytime, anywhere, resulting in increased job autonomy in determining method, time, and place to work. However, existing Smart Work research has the following limitations: the concept of job autonomy developed in the industrialization era of the 1970s is still used, job autonomy is verified in unidimensionality, and the paradoxical 'tied autonomy' in the context of Smart Work is not demonstrated. In order to overcome these limitations, this study examined the literature that demonstrated job autonomy in a Smart Work situation. Through literature research, this study suggested how previous studies have dealt with job autonomy in Smart Work context, how to develop the type of autonomy according to the Smart Work situation, and directions for future empirical research.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.100-102
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• 2023

최근 오픈 사이언스 문화가 확산됨에 따라 오픈 데이터, 오픈 소스 소프트웨어와 같은 공개된 리소스들을 효율적으로 공유 및 활용하기 위한 방법이 주목을 받고 있다. 본 논문에서는 연구 소프트웨어의 재현성을 향상시키기 위한 국가연구데이터커먼즈(KRDC)를 소개하고 다중 KRDC 클러스터 간 워크플로우 연계 방안을 제안한다. 국가연구데이터커먼즈는 연구 소프트웨어와 분석 환경인 인프라를 결합하여 함께 제공하는 서비스로, 멀티 노드 쿠버네티스(kubernetes) 클러스터를 기반으로 동작한다. 따라서, 서로 다른 KRDC 프레임워크에 존재하는 리소스들을 하나의 워크플로우로 연계하는 것은 복잡한 사용자 인증/인가 문제, 보안 상의 문제를 고려하여야 한다. 본 논문에서는 프록시(proxy) 앱을 사용하는 워크플로우 연계 기능을 제안하고, 이를 지원하기 위한 통합 인증, 인가 체계와 연계 방안을 구현한다. 제안하는 방법을 두 개의 KRDC 프레임워크를 대상으로 적용하여 제안 워크플로우 연계 방법의 유효함을 확인한다. 본 논문에서 제안하는 워크플로우 연계 방법과 시나리오는 실제 멀티 클러스터 연계 방안을 구현한 사례로, KRDC 프레임워크 뿐만 아니라 다양한 쿠버네티스 기반 리소스 연계에 활용할 수 있는 우수한 결과로 사료된다.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.238-243
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• 2007

The TAM(Topographic Attentive Mapping) network neural network model is an especially effective one for pattern analysis. It is composed of of Input layer, category layer, and output layer. Fuzzy rule, lot input and output data are acquired from it. The TAM network with three pruning rules for reducing links and nodes at the layer is called fuzzy TAM network. In this paper, we apply fuzzy TAM network to pattern analysis of leadership type for organizational leader and show its usefulness. Here, criteria of input layer and target value of output layer are the value and leadership related personality type variables of the Egogram and Enneagram, respectively.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.377-382
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• 2013

A convergence software development methodology based on product line engineering provides an architecture model for application development and it also provides workflow as a behavior specification of control component development to develop transaction centric application. To effect a change on software development based on product line engineering it has to be supported by a tool. But almost workflow modeling tools dose not support product line engineering concept. So we need new workflow modeling tool to support the convergence software development methodology. In this paper, we introduce a toolset for workflow modeling that consists of eclipse plug-in applications and open source tool and describe the relationships of tools through example.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.612-615
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• 2012

Energy efficiency in wireless sensor network is a principal issue because wireless sensor network uses limited energy. In wireless sensor network, because nodes are placed randomly, they may be concentrated in certain area. This dense area causes shortening the life of the concentrated area, and furthermore reducing the life of the entire network. In this paper, we suggest a additional cluster head selection algorithm for reducing the overload of head node in dense area and shows simulation result using our algorithm with LEACH algorithm.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.71-77
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• 2015

This paper implements an estimated closeness centrality ranking algorithm in large-scale workflow-supported social networks and performance analyzes of the algorithm. Existing algorithm has a time complexity problem which is increasing performance time by network size. This problem also causes ranking process in large-scale workflow-supported social networks. To solve such problems, this paper conducts comparison analysis on the existing algorithm and estimated results by applying estimated-driven RankCCWSSN(Rank Closeness Centrality Workflow-supported Social Network). The RankCCWSSN algorithm proved its time-efficiency in a procedure about 50% decrease.