• The Optical Journal
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• s.158
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• pp.40-47
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• 2015

드론은 군사용으로 제일 먼저 개발되어 시장을 형성했지만, 오픈소스 드론의 제작이 많아지면서 소비자 시장도 급속도로 확대되고 있다. 최근 중국의 DJI는 기업가치 100억 달러 이상을 넘볼 정도로 급성장을 하였고, 드론용 소프트웨어나 플랫폼을 확보한 스타트업 기업들에 대한 투자도 활발하게 이루어지고 있다. 구글이나 페이스북, 아마존 등은 자사의 서비스 강화를 위한 목적으로 드론 기술을 적극적으로 활용하고 있으며, 드론의 시장 확대에 따른 드론 시장 생태계도 크게 확장되고 있다. 최근 드론에 대한 관심이 뜨겁다. 특히 중국의 DJI는 모형 헬리콥터의 비행조종 시스템을 만들다가 전격적으로 소비자 드론 시장에 뛰어들었는데, 2014년 약 5억 달러 정도의 매출을 올렸다고 한다. 이는 2013년과 비교할 때 4배가 증가한 것이며, 2015년에는 또 다시 2배 이상 성장을 할 것으로 보여 올해에는 소비자 드론을 만드는 기업중에서 세계 최초로 10억 달러 매출을 달성할 것으로 예측된다. 당연히 기업가치도 크게 상승해서, 실리콘밸리에서는 DJI의 기업 가치를 100억 달러 이상으로 보고 있다.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.1-8
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• 2015

Arduino is an open-source prototyping platform. It has been used in diverse areas including media-art, simulation and interaction devices. The Arduino application does not provide an effective form of software design specification, since it is basically developed in C Programming language. In this paper, we propose a design method for the Arduino applications using the extension mechanism of the UML(Unified Modeling Language). The proposed method is enable to specify the main function of Arduino applications like digital I/O and analog I/O in UML notations.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.137-142
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• 2012

This paper proposes a software development guidance and an evaluation index for the productivity related to Spring 2.5 and EJB 3.0 with same lightweight container architecture. Spring is a known successful open source standard model for lightweight container architecture. EJB in an enterprise environment as a standard framework is most commonly used in production. However, there is no comparison research about the performance of Spring 2.5 and EJB 3.0 Framework with same identical platform. Quantitative analysis is supported as a part of LoC(Line of Code) analysis. There is a limit to develop the updated software with no the specific evaluating index for the productivity of the software. In this study, the development platform environment based on the same pilot system Spring 2.5 and EJB 3.0 framework is in the design and implementation. In addition, comparison and standardization of software development productivity assessment is to provide guidance.

• Convergence Security Journal
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• v.18 no.1
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• pp.33-42
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• 2018

CFD analysis is an analytical technique that applies a computer to the design and development of products across the entire industry for heat or fluid flow. This technology is used to shorten the development period and reduce costs through computerized simulation. However, the software used for CFD analysis is now required to use expensive foreign software. The Opensource CFD analysis software used in the proposed system has reliability of commercial CFD analysis software and has various user groups. However, for users who have expert knowledge, Opensource CFD software which supports only text interface environment, We have developed an environment that enables the construction of a CFD analysis environment for beginners as well as professionals. In addition, the proposed system supports the pre-processing (design and meshing) environment for CFD analysis and the environment for post-processing (result analysis & visualization), enabling the integrated CFD analysis process in one platform.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2145-2152
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• 2017

As the ubiquitous paradigm that allows users to access the Internet anytime and anywhere is expanding, the expectation and interest of the Internet is increasing. As interest in the Internet has increased, interest in open source hardware has also increased. As a result, the maker, who is a creator who actually uses the digital production tools to create a product that he thought, is emerging as a new trend. As these makers shared how to make products, the 'maker movement', an open source manufacturing movement, spread. In the case of the domestic market, the government's policy support is also stimulating the maker movement. However, compared to developed countries, there is not enough awareness and environment of maker culture, and only open platform hardware and software are used without special education / development equipment or kit for maker.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.167-170
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• 2013

의료 영상의 3차원 가시화는 최근에 교육 진단 수술 리허설 등의 목적으로 많은 관심을 받고 있다. 하지만 관심영역을 3차원으로 가시화 하는 작업은 복잡하고 시간이 많이 소요되는 과정이기 때문에, 대부분 ITK, VTK 같이 가시화 알고리즘이 구현된 오픈소스 라이브러리들이 사용되고 있다. 또한 인터페이스의 구현을 위해 Win32 API, MFC, Java SWT와 같은 플랫폼 또는 라이브러리들이 사용되고 있는 상황인데, 이러한 경향으로 인해 실제로 일련의 알고리즘을 모두 이해하고 직접 구현하는 경우는 거의 찾아보기 힘들다. 이에 본 논문은 의료 영상의 3차원 가시화를 위해 필요한 여러 기술들에 대해 설명하고, 이를 사용자와 상호작용 하는 인터페이스를 구현한 대화형 3차원 의료 가시화 소프트웨어를 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.1-4
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• 2019

Edge Computing 환경에서는 데이터 처리와 시스템 제어를 위한 별도의 서버가 존재하지 않는다. 서버를 통한 중앙통제 방식이 아닌 Edge computing에 사용된 IoT기기들이 연동되어 데이터 분산 처리와 연산을 통해 전체 시스템이 동작된다. 이러한 Edge computing 시스템 구조 특성상 전체 시스템이 과부하를 피하기 위해 각 IoT 기기에서 동시다발적으로 감지되는 실시간 상황 정보를 효율적으로 처리 하여야한다. 이에 따라 실시간 상황 정보를 효율적으로 처리하거나, 다양한 데이터 분석처리 알고리즘들이 연구 개발되어 데이터 처리에 적용되어 왔다. 하지만 데이터의 정보 흐름과 타입에 초점을 맞춘 것이 아니라 예상분석 및 획일화된 알고리즘을 통해서 분석되기 때문에 해당 플랫폼이 주로 지향하는 데이터 형식에 맞지 않으면 성능저하를 수반하며 사용에 제약이 많은 문제점이 있다. 따라서 본 논문에서는 IoT 환경에서 실시간 반응성 향상을 목표로 오픈소스 기반 스트림 데이터 처리 방법에 대한 비교 분석과 Fast-reaction을 위한 데이터 처리 도구 비교 분석을 연구를 진행한다.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.674-680
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• 2008

An SDR (Software Defined Radio) system based on general purpose computing platform has benefits of ease of software development process, high degree of software compatibility, and cost-effectiveness of general purpose processors. This paper discusses design and implementation of a dual-mode SDR system that supports both cordless phone and walkie-talky system running on Linux-based general purpose computing platform. For this purpose, we designed modulation and demodulation software on open source-based GNU radio middleware. We also designed a customized RF front-end hardware which performs frequency conversion between RF and IF. The proposed SDR system successfully exhibited its ability to operate both cordless phone and walkie-talky communication on Intel processor-based general purpose computing platform. But experience with the prototype SDR system shows that further research is required for run-time software reconfiguration and efficient integration with conventional TCP/IP protocol stacks.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.693-700
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• 2018

Virtual router redundancy protocol (VRRP) was designed as a solution to support fast fail-over in case of network failure. There exists virtual router which acts as default gateway in LAN, and the virtual router is dynamically elected between master and backup router. Through this protocol, end-hosts can be provided seamless network service. However, it needs expensive license fees and maintenance costs to adopt current commercial network operating systems. Furthermore, they are commonly enterprise proprietary software and inherently closed source. In order to tackle these problem, Open N2OS which is open source based open network software platform was developed. It has no dependency on hardware equipment, and provides high availability, scalability, various networking functions. In this paper, we handle VRRP operation and mechanism with related command line interface (CLI).