• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.6
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• pp.315-324
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• 2022

The experimental data obtained in a wave flume were analyzed using machine learning techniques to establish a model that predicts the input wave height of the wavemaker based on the waves that have experienced wave shoaling and to verify the performance of the established model. For this purpose, artificial neural network (NN), the most representative machine learning technique, and Gaussian process regression (GPR), one of the non-parametric regression analysis methods, were applied respectively. Then, the predictive performance of the two models was compared. The analysis was performed independently for the case of using all the data at once and for the case by classifying the data with a criterion related to the occurrence of wave breaking. When the data were not classified, the error between the input wave height at the wavemaker and the measured value was relatively large for both the NN and GPR models. On the other hand, if the data were divided into non-breaking and breaking conditions, the accuracy of predicting the input wave height was greatly improved. Among the two models, the overall performance of the GPR model was better than that of the NN model.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.169-199
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• 2015

Information and communication technologies (ICT) have been combined with products from other industries to provide new functionality, as recently shown in the cases of Internet of Things (IoT). Modularity assumes a crucial role in such technological convergence, and has impacts on the relationship between organizations as well as competition within an industry. Interface standards, which ensure the connectivity between modules, serve as a critical factor in the process by which modularity affects organization systems and industry structure. To understand the aforementioned phenomenon, we studied modularity and interface standards with a focus on the interaction between technology and organization systems and subsequent changes in industrial dynamics. This paper examines previous literature on modularity and interface standards in the aspects of product architecture, organization systems, and institutional factors. With this analytical framework, we conducted a comparative analysis of electronic and automotive industries to derive implications for standardization policy. This research has shown the significance of external open interface standards in shaping an industrial landscape where a variety of module producers horizontally compete. It also advises that policymakers take into account product characteristics, engagement of leading firms in an industry, and institutional factors such as WTO law in the design of standardization policy.

• Spatial Information Research
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• v.17 no.1
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• pp.131-144
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• 2009

Recently, a lot of local autonomous entities are promoting Ubiquitous City(U-City) Construction by integrating Information Communication Technology(ICT) with city development, and also internationally, a lot of cities are making efforts to develop U-City to intensify a city's competitive strength and improve life quality of city dwellers. In keeping with such a stream of the times, each local autonomous entity and project developer are developing a lot of methodologies to establish optimal U-City in corresponding cities and also inquiring into a variety of development procedures, such as connecting existing urban development methods with information establishment methods. The method used usually is to establish Information strategy Plan(ISP) for a city which will be developed through consulting in the stage of city development planning. ISP is to establish vision & strategy for building the ubiquitous city and is a methodology including city vision, strategy, goal, and implementation method, etc. However, due to a lot of variables, such as a variety of city environment, establishment period, budget, information technology, and etc., it is difficult to contain establishment plans for every occasion in a similar method, in reality. Therefore, it is naturally necessary to suggest plans for city vision & strategy, and selection of element technology/service. Thus, this paper suggests models for vision & strategy establishment of U-City and suggests Top-Down Approach and Bottom-Up Approach method as a plan for U-City establishment. In addition, this paper analyzes general promotion methodologies for constructing U-City and analyzes how these two strategic methods [Top-Down Approach and Bottom-Up Approach] for city vision establishment are composed in such a methodology, to define and analyze its constituent plan.

• The Journal of Bigdata
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• v.5 no.2
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• pp.121-133
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• 2020

This study was carried out to set the direction of the new industry policy of Busan city by analyzing the changing trend of artificial intelligence technology that has recently developed rapidly and predicting the direction of future development. The company wanted to draw up support measures to utilize artificial intelligence technology, which has been rapidly emerging in the market, in the region's specialized industry. Artificial intelligence is a key keyword in the fourth industrial revolution and artificial intelligence-based data utilization technology can be used in various fields from manufacturing processes to services, and is entering an era of super-fusion in which barriers between technologies and industries will be broken down. In this study, the direction of promotion for fostering Busan as an artificial intelligence city was derived based on the comparison and analysis of artificial intelligence-related ecosystems among major local governments. In this study, we wanted to present a plan to create an artificial intelligence industrial ecosystem that can be called a key policy to foster Busan as an 'AI City'. Busan's plan to foster the AI industry ecosystem is aimed at establishing a policy direction to ultimately nurture the artificial intelligence industry as Busan's future food source.

• Journal of Advanced Marine Engineering and Technology
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• v.40 no.1
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• pp.62-68
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• 2016

The fingerprint, which is one of the methods of indoor localization using WiFi, has been frequently studied because of its ability to be implemented via wireless access points. This method has low positioning resolution and high computational complexity compared to other methods, caused by its dependence of reference points in the radio map. In order to compensate for these problems, this paper presents a radio map designed algorithm based on the log-distance path loss model fusing a WiFi and BLE fingerprint. The proposed algorithm designs a radio map with variable values using the log-distance path loss model and reduces distance errors using a median filter. The experimental results of the proposed algorithm, compared with existing fingerprinting methods, show that the accuracy of positioning improved by from 2.747 m to 2.112 m, and the computational complexity reduced by a minimum of 33% according to the access points.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.875-886
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• 2016

In this study, we investigate an influence of the China government's software support policy on the revenue of software export. In the analysis in the areas of technology development, manpower development, quality control and marketing reinforcement from 2008 to 2014, it has been found that the amounts of the policy influence and annual revenue of software export increase simultaneously, proving that the China government's support policy has a close relationship with the software export revenue. However, the annual ratio of the software export revenue to the gross software production revenue has decreased over the period, which indicates that the growth of software industry in China has been mainly driven by domestic market.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.75-83
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• 2018

Multicultural family members have difficulty in educating their children due to language differences. In order to solve these difficulties, it is necessary to provide smart translation services that enable them easily and quickly access real-life vocabularies. However, the current automatic translation technology is being developed in dominant languages such as English, Chinese, and Japanese. There are also limitations to translating special-purpose terms such as documents of schools and instructions of public institutions. In this study, we propose a real-time automatic word translation service for multicultural family members who understand beginner level Korean. The service automatically analyzes the semantics of each word in the Korean sentences and provides a word-by-word translation. This study includes semantic analysis research for Korean language, building multilingual translation knowledge, and fusion study of language education. We evaluated the word translation service for migrant women from Vietnam and Japan and obtained meaningful evaluation results.

• Journal of the Korea Society of Computer and Information
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• v.19 no.5
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• pp.27-35
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• 2014

The characteristics of today's health care industry, based on the state of the art IT can be represented as a paradigm of human-oriented ubiquitous and accessible as possible by U-Health care. In addition, the healthcare industry is information and communication technologies (ICT) developments regarding the many advances and applications based on the research being carried out actively. Medical information system has been developed toward combining information systems of medical IT and it sets its sights on the fusion of developed IT and u-healthcare system. So changing distributed medical information systems into a safe PHR integrated system based on IaaS cloud computing is suggested in order to forge u-healthcare system with the times in this paper. Our experimental results show that our proposed system increased the data access time by about 24% and reduces the waiting time for processing service by about 4.3% over the web-based PHR.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.9-17
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• 2019

As the IoT environment becomes more popular, the safety of the M2M environment, which establishes the communication environment between objects and objects without human intervention, becomes important. Due to the nature of the wireless communication environment, there is a possibility of exposure to security threats in various aspects such as data exposure, falsification, tampering, deletion and privacy, and secure communication security technology is considered as an important requirement. In this paper, we propose a new method for group key generation and exchange using trap hash collision hash in existing 'M2M communication environment' using hash collision, And a mechanism for confirming the authentication of the device and the gateway after the group key is generated. The proposed method has attack resistance such as spoofing attack, meson attack, and retransmission attack in the group communication section by using the specificity of the collision message and collision hash, and is a technique for proving safety against vulnerability of hash collision.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.637-637
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• 2015

2009년 미국에서 처음으로 스마트워터그리드의 개념이 도입된 이후로 국내외 국가 기관뿐만 아니라 민간 기업에서도 스마트워터그리드에 대한 관심이 높아지고 있다. 현재 스마트워터그리드는 IBM의 진출을 시작으로 Veolia, Suez 등 다국적 물관리 기업들이 사업을 추진 중이다. 국내의 ICT기술과 수자원시스템의 융합을 통하여 용수 수요 공급량을 실시간으로 파악하고 관리하여 수자원의 지역적 시간적 격차를 해소하는 스마트워터그리드 연구가 국내에서도 진행 중이다. 물관리 시장 주도권을 확보하기 위해 글로벌 물기업간 경쟁이 심화되고 있으며, 개별플랫폼을 구축 활용하여 신규기업의 물산업 진출을 가로막고 있는 실정이다. 이러한 상황에서 국외 물산업 시장 진출을 위하여 통합플랫폼 개발 및 체계적인 데이터 구조 설계가 필요하며, 본 연구는 스마트워터그리드를 운영하기 위해 여러 곳에 분산되어 관리 운영되어지고 있는 수자원 및 물관리 데이터의 통합을 위한 체계적인 데이터베이스 구조설계에 대한 연구를 수행하였다. 이에 본 연구에서는 스마트워터그리드 도메인 내에 주력하고 있는 통합데이터베이스 구조를 외부 데이터 마이닝과 연계하여 확장하는 구조로 현실적이고 단기적인 데이터 통합효과를 위해 ETL/데이터웨어하우스방식을 적용하여 데이터 통합을 추진하였다. 지자체간 분산되어 있는 데이터베이스간의 연동은 관련 법제도 및 지자체간 협의 등 다양한 문제가 연루되어 있어 단기적으로는 B2B 데이터 연동방식을 응용하여 구성하였다. 광역 중앙 제어를 위한 통합데이터베이스는 가상DB 방식을 고려하였으며, 이는 지자체별로 구성된 통합DB에 대한 인터페이스 및 Wrapper 플랫폼을 적용하였다. 이 플랫폼간의 연동은 WaterML2.0을 적용함으로써 단기간내 구현이 가능하도록 하고 상호운용성에 문제를 해결하며, 실시간 데이터 연계를 추구하였다. 본 연구를 통해서 궁극적으로는 수자원 및 물관리 데이터의 통합을 위해 해당플랫폼에서 스키마 맵핑, 프로토콜 변환 정합 등을 실시하며, 실시간 데이터 마이닝 및 통합이 가능하도록 구성함으로써 향후 스마트워터그리드의 빅데이터 플랫폼 개발까지 확장해나갈 수 있을 것으로 기대된다.