• Journal of Digital Convergence
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• v.11 no.11
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• pp.53-58
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• 2013

Due to the wide spread of the perception of cloud computing, the usage of cloud computing is increasing globally. Cloud computing is able to converge the various industrial domains based on ICT and it is more and more popular because it has a lot of benefits such as cost savings etc. in global economic recession. However, if cloud computing service is to achieve its potential, it is necessary to clearly understand the critical issues such as service security, performance and availability and so on from the perspectives of the providers and the consumers of the cloud service. In addition, customers focus on how to get and use the safe and reliable cloud service. In order to meet these problems, Korea cloud service certification system and Japanese ASP-SaaS-Cloud certification system were performed in each country. This paper aims at comparing and analyzing between them and describing the difference. Eventually, we propose the improvement strategy of Korea cloud service certification system based on the comparison results between them.

• Journal of Korea Game Society
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• v.18 no.5
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• pp.23-30
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• 2018

With the development of ICT technology, the game industry is growing rapidly. However, due to the excessive play of the game, there are cases where normal life is difficult. It is necessary to study the diagnosis and countermeasures against such game addiction. This paper study a system for diagnosing game addiction based on game usage information of game users. In order to develop a game addiction diagnostic system, this study classifies game addiction and abuse users and collects and models log information in real game environment. In addition, the addiction and good use model of game users was used as a knowledge to diagnose the addiction of new game users. Through the experiment, we could confirm the meaningful results. Also, according to the result of the diagnosis, the service such as SMS and reporting was suggested.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.28-33
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• 2021

Since the stock price is a measure of the future value of the company, when analyzing the stock price, the company's growth potential, such as sales and profits, is considered and invested in stocks. In order to set the criteria for selecting stocks, institutional investors look at current industry trends and macroeconomic indicators, first select relevant fields that can grow, then select related companies, analyze them, set a target price, then buy, and sell when the target price is reached. Stock trading is carried out in the same way. However, general individual investors do not have any knowledge of investment, and invest in items recommended by experts or acquaintances without analysis of financial statements or growth potential of the company, which is lower in terms of return than institutional investors and foreign investors. Therefore, in this study, we propose a research method to select undervalued stocks by analyzing ROE, an indicator that considers the growth potential of a company, such as sales and profits, and predict the stock price flow of the selected stock through deep learning algorithms. This study is conducted to help with investment.

• Journal of Platform Technology
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• v.8 no.4
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• pp.38-46
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• 2020

This study describes how to build a security control system using an open source big data solution so that private companies can build an overall security control infrastructure. In particular, the infrastructure was built using the Elastic Stack, one of the free open source big data analysis solutions, as a way to shorten the cost and development time when building a security control system. A comparative experiment was conducted. In addition, as a result of comparing and analyzing the functions, convenience, service and technical support of the two solution, it was found that the Elastic Stack has advantages in the security control of Big Data in terms of community and open solution. Using the Elastic Stack, security logs were collected, analyzed, and visualized step by step to create a dashboard, input large logs, and measure the search speed. Through this, we discovered the possibility of the Elastic Stack as a big data analysis solution that could replace Splunk.

• Smart Media Journal
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• v.9 no.4
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• pp.9-16
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• 2020

Recently, various studies are being conducted to integrate Image Segmentation into smart factory industries and autonomous driving fields. In particular, Image Segmentation systems using deep learning algorithms have been researched and developed enough to learn from large volumes of data with higher accuracy. In order to use image segmentation in the autonomous driving sector, sufficient amount of learning is needed with large amounts of data and the streaming environment that processes drivers' data in real time is important for the accuracy of safe operation through highways and child protection zones. Therefore, we proposed a novel DFCN algorithm that enhanced existing FCN algorithms that could be applied to various road environments, demonstrated that the performance of the DFCN algorithm improved 1.3% in terms of "loss" value compared to the previous FCN algorithms. Moreover, the proposed DFCN algorithm was applied to the existing U-Net algorithm to maintain the information of frequencies in the image to produce better results, resulting in a better performance than the classical FCN algorithm in the autonomous environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.99-109
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• 2021

With the recent development of ICT, information exchange through data communication network is increasing. Cryptography is widely used as the base technology to protect it. The initial cryptography technology was developed for military use and authorized only by the nation in the past. However, nowadays, much of the authority was unwillingly transferred to the private due to the pervasive use of ICT. As a result, there have been conflicts between the private demand to use cryptography and the nation's authority. In this paper, we survey the conflicts between nations and the private in the process of formulating the cryptography policy. Morever, we investigate the reality of the cryptography policy in Korea. Our investigations are expected to help the government apply cryptographic control policy in a balanced manner and plan development of cryptography industries. Lastly, we propose a need to establish a cryptanalysis organization and to legislate a legal sanction against fraudulent use of cryptography.

• Journal of IKEEE
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• v.26 no.2
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• pp.219-225
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• 2022

The textile industry in Korea, the dyeing sector is an energy-intensive sector and has low per-unit productivity due to its labor-intensive nature. If the defective rate of dyed fabrics is high, additional costs are incurred due to an increase in production cost due to re-dyeing. Therefore, the goal of the dyeing factory was to minimize the defect rate rather than to save energy. It was difficult to check the dyeing state of the fabric in real time due to the risk of accidents due to burns or pressure when dyeing in a high-temperature and high-pressure environment. In this paper, a complex sensor that can measure the exhaustion rate of dye solution in the dyeing machine using turbidity, pH, and conductivity sensors was proposed, and the experimental method and experimental results were analyzed.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.151-159
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• 2023

In the digital age, innovation is at the heart of information technology development. This paper explores the differences of regional innovation capabilities from within the innovation system from a new perspective. By applying the coupling coordination degree model, the coupling coordination degree analysis is conducted for the three systems of innovation (innovation input, innovation output, and innovation environment) in 31 provinces, municipalities, and autonomous regions of China. The results show that: the overall level of coupling coordination degree in China is low, and the number of provinces in good coordination and quality coordination is low number, but they are all distributed in the eastern economically developed regions, showing a high correlation between regional innovation and regional economic development. The overall trend of China's innovation coordination is on the rise. The research results of this paper can provide a new perspective for the evaluation of innovation capability, and also provide an important impact of innovation on promoting the development of ICT industry.

• Journal of Platform Technology
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• v.12 no.1
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• pp.141-150
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• 2024

The importance of personal data protection is increasingly emphasized both at home and abroad, and while overseas countries are applying various policies and dynamic management technologies, there are some gaps between compliance with laws and regulations and the application of technologies in Korea, and there are few user interfaces that provide convenient ways for data subjects to stop processing personal data. This study first analyzes the need for dynamic personal information consent management technology, the current state of the industry, and the prospects for its development. Next, this study proposes a basic model for dynamic management of personal information consent that maximizes the data subject's right to personal data self-determination while strictly complying with personal data protection laws in Republic of Korea. In particular, this study analyzes the basis of domestic laws and regulations related to the suspension of personal data processing, designs a basic model of personal data consent dynamic management interface, and presents its effectiveness. Based on the results of this study, we expect that the proposed dynamic management model for personal data use consent can be used in various ways for various websites and applications in the future.

• 정보화사회
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• s.20
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• pp.56-69
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• 1989

정보문화의 달이기도 했던 6월은 고도정보화사회를 앞당기는 일련의 획기적인 조치들이 취해져 관련업계의 관심을 크게 집중시키고 있다. 정부는 정보통신회선 사용상의 제한을 대폭 완화하여 민간기업이 실질적으로 VAN사업에 참여할 수 있는 길을 열어놨고 종래 규제일변도였던 전파정책을 권장행정으로 전환하는 전파관리법도 입법예고했다. 정부가 마련한 정보통신회선사용제도 개선조치는 DB, DP만 제공할 수 있도록 되어있는 정보통신역무제공업자의 사업범위를 불특정다수인을 대상으로 한 정보교환 및 타인통신매개행위를 허용했고 지금까지 9600bps급 이하의 저속회선에서만 접속이 허용되어온 다중화장치(MUX)의 사용범위를 대폭확대하여 64kbps급 이상의 고속회선에서도 접속사용할 수 있도록 허용했다. 또한 그룹 VAN의 경우에도 업무상 긴밀한 관계자 등만 이용할 수 있게 한 제한사항도 폐지해 국내 VAN시장에 대한 민간기업의 참여를 전면적으로 허용했다. 이외에도 정보통신역무제공업자가 DP.DB제공을 위해 필요한 경우 컴퓨터 본체에서의 부수적인 정보교환행위를 허용하여 DB내용 갱신(up-data) 등을 위한 중도컴퓨터의 접속도 가능토록 했다. 그런데 그룹 VAN의 경우 이용대상의 제한을 없앴으나 그룹망 중 타인사용특례를 받은 업체 이외의 망에는 이용자가 접속할 수 없도록 되어있기 때문에 각 업체에서는 시스템 통합화를 추진할 확률이 높다. 또한 고속회선에 대한 다중화장치(MUX) 사용을 허용하고 있으나 개방에 대비해 각 업체에서 이미 보유하고 있는 노드 프로세서(Node Processor)를 전용교환기로 간주, 이의 사용을 제한하고 있는 실정이다. 업계에서는 중도컴퓨터의 접속은 허용하고 있으면서 통신과 컴퓨터의 중간자적 기능을 갖고 있는 노드프로세서의 사용을제한한다는 데에 있어서는 의견을 달리하고 있다. 우리 협회에서는 이달 법제위원회를 개최하여 이번 조치에 대한 검토와 함께 전파관리법 입법예고안에 대한 업계의 의견을 수렴, 정부에 건의할 예정이다.