• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.1-13
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• 2023

As federated learning brings a large paradigm to modern artificial intelligence research, efforts are being made to incorporate federated learning into research in various fields. However, researchers who apply federated learning face the problem of choosing a federated learning framework and benchmark tool suitable for their situation and purpose. This study aims to present guidelines for selection of federated learning frameworks and benchmark tools considering the circumstances of researchers who apply federated learning in practice. In particular, there are three main contributions in this study. First, it generalizes the situation of the researcher applying federated learning by combining it with the goal of federated learning and proposes guidelines for selecting a federated learning framework suitable for each situation. Second, it shows the suitability of selection by comparing the characteristics and performance of each federated learning framework to the researcher. Finally, the limitations of the existing federated learning framework and a plan for real-world federated learning operation are proposed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1142-1166
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• 2020

Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.4
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• pp.103-111
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• 2008

While the demand for ASP(Application Service Provider) focused on small and medium enterprises who are fully aware of needs of ICT readiness has been increasing, those who consider to adopt ASP are wondering whether their performance would be actually successful if they did. These concerns can be an important standard of judgement, when introducing new information systems, by analyzing ROI(Return on Investment) on the current enterprises. Therefore, to review the feasibility of investing IT and measuring the performance, this study suggests a framework for ROI analysis which estimates IT investment performance, through multi-criteria approach on both financial performance index and non-financial one. We applied methodology on ASP-based IT investment performance evaluation to sample manufacturing companies under 50 employees and deduced the main implications to be considered when introducing the system.

• Management & Information Systems Review
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• v.7
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• pp.169-186
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• 2001

The strategic management for Innovation and competetion of small and medium firms is practical innovation strategic of cost down and sales increace. Framework of the strategic management for thr forecast of changed industry and formal competetion. Practice and planning to the small and medium firms for innovation, cost down, sales increace, revolution management, etc. The results of study are as follows ; 1) study of pre-model for innovation and competetive advantage. 2) Draw of the creative factor for industrial structure analysis, cost advantage analysis and competetive advantage. 3) Exhibit of the practice model for strategic management approach. 4) Application and modification to the small and medium firms for results of study.

• Journal of the Korean Society for information Management
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• v.6 no.1
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• pp.37-56
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• 1989

This study is a structural analysis of a multi-type and multi-level library network within the framework of a regional interlibrary loan (ILL) system. The study monitored to information network structure for resource sharing of academic and research library materials transmitted through the ILL. The local flow of academic and research information was measured by a survey of the filled ILL transactions by individual libraries in the Western 3Rs region. The major findings were as follows: 1) the regional ILL network showed less than half of participation of the total subject libraries, 2) existing structure surveyed was identified as a composite centralized network with three communication groups, 3) depending on the types of materials transacted, the structure were changed, 4) statewide and multi-state library cooperatives had direct interactions with some of the local libraries, 5) individual libraries participated in the ILL network more for periodicals than book materials, 6) academic libraries throughout the total six structure analyzed showed the highest percentage of participation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.185-203
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• 2011

In recent years, blogs have become important resources for information sharing; and tourism blogs are providing a new way of sharing tour experiences. Blogs are becoming very popular amongst web users to share their life experiences with other web users around the world. Specifically the goals of this research are; (1) to suggest theory framework of acceptance and user satisfaction about toruism blogs based on TAM, (2) to examine relationships between exogenous variables and (3) to suggest effectiveness of tourism blogs in a marketing perspective. The research model and hypotheses were developed based on the theories of technology acceptance model. Questionnaire was used to collect data. The analysis of this study is designed as individual level to examine the causal relationship among variables. The the reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that interaction, entertainment, system quality and information quality are major influential variables on the perceived usefulness of tourism blog. Also, entertainment and system quality are influential variables on the perceived ease of use of tourism blog.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.4
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• pp.980-985
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• 2008

The environment of IT is, currently, on its developing process to the period of web 2.0 and mashup which not only enable computer and internet to be utilized like the water or the air, but also be a new motivating force for its advance. One of the biggest changes of the industry that lies ahead is consolidated transportation. However, no party outstands as the leading party for nationwide improvement of logistics, nor does the right analysis and design for it. Therefore, successful nationwide logistics model is yet to exist. This study provides individual parties, which consider consolidated transportation model as their implementation and design of the framework, with instructions for logistics information system so that they could be competitive in the market. It also helps companies collect user requirements for logistics information system consolidated transportation, and utilize it for its development. Finally, the study provides a implementation and design of pilot system for consolidated transportation model.

• Spatial Information Research
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• v.3 no.2
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• pp.191-204
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• 1995

The data model is a system model which abstracts the spatial and nonspatial fea¬tures of the real world. A system defines through its data model a framework for the inner rep¬resentation of and connections with the outside world. The spatial query language is one of the most efficent framework for defining connection with outside world in the GIS. Existing GIS uses a spatial data model based on relational data model. Therefore, it has some difficulties in data abstraction and representing complex objects through inheritance. In this paper, we pro-pose an object oriented data model-Topological Object Model(TOM). TOM combines object model in ODMG and the planer topological object. Based on this model, we present an object-oriented spatial query language-OQL/Geo. OQL/Geo extends OQL in ODMG and represents TOM effectively. It also provides several operators such as geometric, topological and visible ope-rators. Moreover, it represents with diverse flexivility the request for complex spatial analysis and presentation of query results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2744-2748
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• 2015

This paper analyzes the effect on productivity by measuring Function Point per MM(man-month) in a software development project and code inspection which performed in Agile methodology, and introduce the method of applying MDA/MDD technology in the e-government standard framework project. MDA/MDD which recently raising its head is technology that increase software development productivity through automatic transformation form abstract model into lower abstract model, or from model to code. but, many Lessons obtained through the case studies, the analysis suggests a limited effect measurements. In this study, efficient development methodology and utilizing a e-government framework to measure the effectiveness of the MDD to the new measures through a case study applied to real information system development process. In addition to, managing information modeling through integrated repository presents a traceability and visibility.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.397-419
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• 2020

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.