• Journal of Service Research and Studies
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• v.2 no.1
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• pp.69-80
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• 2012

The process and product types of the service business are various. Though the communication and sharing for learning about experience and knowledge are very important, but up to the present, the academic and systemic research have not been activated in this field. Recently, the demand and supply in the service business are growing rapidly, the related researches by the scientific and systemic approach are required. In this study, based on the research of Ostrom's team (2010) which described the category and suggestions on the service innovation issues, in the service implementation area, some research theme candidates, research trends, and examples are introduced. In service implementation area, three theme are introduced such as Effectively branding and selling services, Enhancing the service experience through co-creation, Measuring and optimizing the value of service. Finally to the service strategy, development and implementation planning scopes, the theme of leveraging technology to advance service can be applied commonly.

• Journal of Korea Game Society
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• v.14 no.2
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• pp.19-28
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• 2014

This paper studies current market of smart phone game and suggests the new earning model. In paper, it is not just for spending free time but seeking profits to play game. Making profits is operated in mutual beneficial way. First, a partnership company cooperates with a game company. And then the partnership company issues coupons about its product which game players can get in game and can use in real. by this way, the partnership company can expect the advertising effect. Besides, game company can spare some burden about earning by cooperation. Eventually It is respected that users spend their money and purchase products with coupon they get in game on offline shop. In this paper, the earning model is integrated in real platform and explain the process.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.5
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• pp.1033-1047
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• 2017

Traditional explicit authentication, which requires awareness of the user's authentication process, is a burden on the user, which is one of main reasons why users tend not to employ authentication. In this paper, we try to reduce such cost by employing implicit authentication methods, such as biometrics and location based authentication methods. We define the 4-level security assurance model, where each level is mapped to an explicit authentication method. We implement our model as an Android application, where the implicit authentication methods are touch-stroke dynamics-based, face recognition based, and the location based authentication. From user experiment, we could show that the authentication cost is reduced by 14.9% compared to password authentication-only case and by 21.7% compared to the case where 6-digit PIN authentication is solely used.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.749-754
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• 2006

Recently, many enterprises are introducing information systems for their competitive advantages. For enhancing the utilization level of enterprise information system, it is quite important to monitor the usage states of the information systems continuously. However, most enterprise information systems lack this functionality. Proposed in this paper is the framework of IAM (Information Activity Monitoring), which is defined as real-time reporting and alerting of significant information-related activities. This IAM framework provides 4 different views about the information system (data, IT system, business process, and participant) and is implemented as a part of integrated design/manufacturing information system developed by aerospace parts manufacturer. By using the IAM function, IT personnel can monitor significant information-related activities systematically and feedback to their users timely, and ultimately enhance the utilization level of information system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.54-60
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• 2016

Building information modeling (BIM) has the advantage of having been utilized for various scenarios through a single model. Although extracting 2D drawings from BIM is one of the advantages, there are many difficulties when utilized in practical work. Architectural detail drawings are an important factor for expressing interior finishing materials and complicated construction methods, as well as for cost estimations. However, creating detail drawings does not have a standard, and each design company establishes its own detail drawings, so it is hard to share or exchange information in the construction industry. Therefore, this study suggests a systemized method for making detail drawings, and explains how it can be utilized as back data for quantity take-off and construction expenses linked with BIM libraries.

• The KIPS Transactions:PartD
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• v.16D no.4
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• pp.549-560
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• 2009

The Agile movement is a phenomenon that is part of the next phase of the software engineering evolution. At the same time, globally distributed software development is another trend delivering high-quality software to global users at lower costs. In this paper, Agile Framework for Distributed Software Development (AFDSD) has been suggested, and Chameleon project of Yahoo! Inc. has been implemented based on the framework. Also, the project has been evaluated by measuring Agile adoption and improvement levels, degrees of agility and agile project success, and comparing the performance and quality with the previous version. The overall performance and satisfaction with Chameleon increased by more than 30% since Agile techniques were adopted. Our objective is to highlight successful practices and suggest a framework to support adoption and evaluation of Agile techniques in a distributed environment.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.37-45
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• 2020

The development process of deep learning is an iterative task that requires a lot of manual work. Among the steps in the development process, pre-processing of learning data is a very costly task, and is a step that significantly affects the learning results. In the early days of AI's algorithm research, learning data in the form of public DB provided mainly by data scientists were used. The learning data collected in the real environment is mostly the operational data of the sensors and inevitably contains various noises. Accordingly, various data cleaning frameworks and methods for removing noises have been studied. In this paper, we proposed a method for detecting and removing noises from time-series data, such as sensor data, that can occur in the IoT environment. In this method, the linear regression method is used so that the system repeatedly finds noises and provides data that can replace them to clean the learning data. In order to verify the effectiveness of the proposed method, a simulation method was proposed, and a method of determining factors for obtaining optimal cleaning results was proposed.

• The Journal of Information Systems
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• v.30 no.3
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• pp.93-112
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• 2021

Purpose Recently, many organizations are actively adopting enterprise architecture (EA) as a methodology to manage IT assets and build IT-based business system. This study intended to empirically examine how the role of EA operating unit and utilization capability of organizational members impact on system performance at the post-adoption stage. A balanced score card (BSC) is being used as a framework for a company's key performance indicator (KPI). Design/methodology/approach This study tried to investigate the causal relationship between the four perspectives of the balanced scorecard as an influencing factor of the introduction of the Enterprise Resource Planning (ERP) on the financial value. In particular, the mediating effect between the customer's point of view and the business process point of view was investigated between the learning growth point of view and the financial point of view, and the interaction effect (regulating effect) of strategic linkage in the system introduction process was investigated. Findings The results of the study were first, that the organizational learning and growth perspective had a positive effect on the customer perspective, business process, and financial perspective. In addition, the customer perspective and the process perspective also had a positive influence on the financial perspective. Second, between the learning growth and financial perspectives, the customer perspective and the process perspective showed a partial mediating effect. Third, as for strategic linkage, the interaction effect between the customer perspective, the learning growth perspective, and the process perspective and the financial perspective was not significant. The results of this study are expected to provide a framework for performance evaluation to organizations that have introduced ERP systems.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.45-51
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• 2019

The use of the Internet of things plays a major role in the Fourth Industrial Revolution, and a series of tasks of accumulating, converging, analyzing and reusing various data and services becomes very important. Because the pace and scope if the paradigm shift in Fourth Industrial Revolution is so rapid and unpredictable, the development and utilization of a system to fulfill this role for IOT are urgently required. In this paper, we introduce the Web-based IOT management system, which connects the IOT with OKMindmap, which is a domestic open source software and service, and the Node-RED service. This system combines the advantages of OKMindmap with the advantages of Node-RED, which is capable of visual component based programming, so that it can easily and flexibly connect the IOT based on Web browsers, and various data and services can be integrated and linked. We developed a camera module, a temperature and humidity sensor module, and the motor control module in Raspberry PI basically, and tested the operation successfully. We plan to extend the IOT component gradually by using Arduino and System On Chip.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.479-482
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• 2014

Nowadays open-source hadoop systems have been using widely to efficiently manage a fast-growing big data. Hadoop systems consist of distributed file processing system called HDFS (Hadoop Distributed File System) and distributed parallel processing system called MapReduce. The MapReduce reads and processes big data from HDFS and then processed results are written in HDFS again by the MapReduce. Such a processing method has different system structure respectively according to hadoop version. Therefore, this paper shows analysis results for performance of hadoop systems. For this, we devise a way which monitors hadoop systems and measure occurrence frequency of processes, threads, and variables generated in hadoop system itself using the devised way. So, by using the measured results as analysis indicator, we help the indicator predict inner performance of hadoop systems.