• Information Systems Review
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• v.12 no.1
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• pp.165-188
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• 2010

Recently public and finance SI (system integration) industry is called as 4D (difficult, dangerous, dirty, dreamless) industry because of low profit, overtime works and poor motivation of employees. Even some people think at SI industry to be a labor intensive industry instead of a high technology industry. The current study considers outside environmental change of SI industry as well as inside capability enhancement of SI companies. The study adopted action research method with the author's expertise and experiences as a head of a major SI company in Korea. The current research framework suggests 5 areas of profitability enhancement that offers propositions and implications. 5 areas of profitability enhancement are (1) policy improvement, (2) business portfolio innovation (3) sales capability reinforcement, (4) delivery capability reinforcement, and (5) cost management innovation. The five areas include 11 propositional factors and 21 implementation plans which were chosen from the profitability perspectives of SI companies.In order to successfully execute propositions and implementation plans of the framework, 3 years is needed and after 3 years profitability are expected to increase 10% higher than the current level. The framework, propositions and suggestions in this study are expected to offer a real contribution for SI companies that want to enhance competitiveness and profitability. Future extension of the current study to benchmarking the competitiveness and profitability between local companies and global companieswill bring a solid attention from industry and academics.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.191-197
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• 2013

In this paper, we implemented a paper currency recognition system using IR(infrared) sensor. The system has 32 channel IR sensor to measure the reflection and penetration quantity of light. The IR image of paper currency of 10-bit gray scale is used to differentiate the real and counterfeit paper currency with image information from 0 to 4095. The characteristics of IR image are recognized by brightness and darkness and the positions of bright and dark portions are different between real and counterfeit paper currency. The price of IR sensors were relatively high, however, it is good price in these days due to mass production to apply to counterfeit detection area. We used a software table having the IR characteristics of real paper currency to compare with the IR images of the input paper currency. The performance of the implemented system shows 1-2% error rates for Euro real paper currency and 0% error rates for various counterfeit paper currencies of several countries.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.109-120
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• 2020

The supply chain without digitization is just a series of discrete, siloed steps taken through marketing, product development, manufacturing, and logistics, and finally into the hands of the customer. Digitization brings down those walls, and the chain becomes a completely integrated network fully transparent to all the parties involved. The ulitimate goals of digitizatized supply chain management are velocity and visibility. This network will depend on a number of key technologies including integrated planning and execution systems, supply chain analytics, autonomous logistics, smart warehousing and factory, etc, enabling companies to react to disruptions in the supply chain, and even anticipate them, by fully modeling the network, creating "what-if" scenarios, and adjusting the supply chain in real time as conditions change. This paper presents a number of studies on digitalization of supply chains and provides a discussion on issues raised in the process of technology adoption. Implications of the study findings are also provided.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.73-81
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• 2013

The paradigm of IT ecosystem has been rapidly changing into open ecosystem irrespective of the territory on which the device, software and contents are located. IT venture ecosystem which can compete and collaborate with the global companies is really needed because the global opportunity of IT venture company has been expanding. Research model based on PEST-SWOT-AHP(Analytic Hierarchy Process) model was employed to analyze the current status and problems of IT venture ecosystem in Korea. Survey was conducted with 20 experts who are involved in venture companies, university, R&D research institute, and investment companies as a working group supported by the Ministry of Knowledge Economy (MKE). The empirical result showed that global promotion of IT ventures, coexistence and development of large enterprises and ventures, revitalization of investment infrastructure, and building of smart venture ecosystem are derived to revitalize IT venture ecosystem and suggested global revitalization model for smart IT venture ecosystem.

• The Journal of Korean Association of Computer Education
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• v.20 no.4
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• pp.59-66
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• 2017

In the fourth industrial revolution, the government has established a policy to cultivate the creative convergent talent with software literacy in order to cultivate human resources leading the economy. Therefore, software education based on computational thinking is being adopted in liberal arts courses in universities. However it would be damaged the fundamental objectives for increasing computational thinking by a weighted stress of students to learn programming of software education. In this paper, we proposed a teaching method that can improve computing thinking through information literacy education which can be directly applied in practice as a way to reduce the burden on the programming learning of software education. Through this paper, it was found that information literacy education can improve the computing thinking as well as the computing ability by making it possible to construct enough knowledge, analysis and efficient procedures for problems.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.211-218
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• 2014

Recently, wind energy is expanding to combination of computing to forecast of wind power generation as well as intelligent of wind powerturbine. Wind power is rise and fall depending on weather conditions and difficult to predict the output for efficient power production. Wind power is need to reliably linked technology in order to efficient power generation. In this paper, distributed power generation forecasts to enhance the predicted and actual power generation in order to minimize the difference between the power of distributed power short-term prediction model is designed. The proposed model for prediction of short-term combining the physical models and statistical models were produced in a physical model of the predicted value predicted by the lattice points within the branch prediction to extract the value of a physical model by applying the estimated value of a statistical model for estimating power generation final gas phase produces a predicted value. Also, the proposed model in real-time National Weather Service forecast for medium-term and real-time observations used as input data to perform the short-term prediction models.

• Journal of Platform Technology
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• v.9 no.1
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• pp.46-57
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• 2021

Recently, research has been actively conducted to utilize blockchain technology in various fields. In particular, blockchain-based smart contracts are applied to various automation systems that require reliability as they have the characteristics of recording data in a distributed ledger environment to verify the integrity and validity of data. However, blockchain does not provide data access control and information security because data is shared among network participants. In this paper, we propose a user dynamic access control mechanism utilizing smart contracts in blockchain environments. The proposed mechanism identifies the user's contextual information when accessing data, allocating the user's role and dynamically controlling the data access range. This can increase the security of the system and the efficiency of data management by granting data access dynamically at the time of user authentication, rather than providing the same services in roles assigned to each user group of the network system. The proposed mechanism is expected to provide flexible authentication capabilities through dynamic data access control by users to enhance the security of data stored within blockchain networks.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.259-264
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• 2019

This paper proposes an image prediction system architecture for deep running in enterprise environment. Easily transform into an artificial intelligence platform for an enterprise environment, and allow sufficient deep-running services to be developed and modified even in Java-centric architectures to improve the shortcomings of Java-centric enterprise development because artificial intelligence platforms are concentrated in the pipeline. In addition, based on the proposed environment, we propose a more accurate prediction system in the deep running architecture environment that has been previously learned through image forecasting experiments. Experiments show 95.23% accuracy in the image example provided for deep running to be performed, and the proposed model shows 96.54% accuracy compared to other similar models.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.227-236
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• 2021

This study aims to develop an AI education program for secondary school students to help understand AI and to provide an experience of solving real-life problems by using AI, and to analyze the effectiveness of education. The education program based on the AI education system for K-12 developed in the previous study was composed of a total of 12 lessons by selecting the self-driving cars, which is emerging as a recent issue among real life problems, as the main topic. Classes were conducted for secondary school students who had experience in software education, and the effectiveness of education and class satisfaction were analyzed. As a result of the analysis, it was confirmed that the understanding of AI and the sense of AI efficacy were improved, and the class satisfaction was high in all items such as educational content, fun in class, difficulty of class, and interest in AI. Based on these results, implications for AI education for secondary students were proposed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.25-31
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• 2022

The purpose of this study is to explore the implications for the systematic operation of the AI curriculum by analyzing the current status of the AI major curriculum in universities. To this end, This study analyzed the relevant curriculum of domestic universities(a total of 51 schools) and overseas QS Top 10 universities based on the industry demand-based standard of AI major curriculum developed through prior research. The main research results are as follows. First, in the case of domestic universities, Python-centered programming subjects were lacking. Second, there were few subjects for advanced learning such as AI application and convergence. Third, the subjects required to perform the AI developer job were insufficient. Fourth, in the case of colleges, the ratio of AI mathematics-related subjects was low. Based on these results, this study presented implications for the systematic operation of the AI major education.