• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.586-588
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• 2007

The Moore's law states that the number of transistors on a chip doubles about every 18 months. And it was reported that the network speed has been doubled about every 9 months. This indicates that computing power and network is no longer the obstacles for the high performance applications requiring terabits networks. We believe that the application motivates the network and vice versa. This presentation will introduce the GLORIAD which is the first ring network connecting six countries around the world and provides scientists with advanced networking tools that improve a communications and data exchange. The GLORIAD trans-Pacific link started its service on August 1, 2005. Since then, there has been remarkable demonstrations were performed through major conferences like Supercomputing Conference. This paper will introduce the global collaborative works on demonstrations of VMT, high energy physics, SDSS and HD video transmission during SC'06 in Tampa, FL.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.2_2
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• pp.219-232
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• 2022

The aim of this study is to provide the dynamic convergence index that reflected the inherent characteristics of the convergence phenomenon and utilized the nationally-funded R&D projects data, thereby suggesting useful information about the direction of the national convergence R&D strategy. The dynamic convergence index that we suggested was made of two indicators: persistency and diversity. From a time-series perspective, the persistency index, which measures the degree of continuous convergence of multidisciplinary nationally-funded R&D projects, and the diversity index, which measures the degree of binding with heterogeneous research areas. We conducted the empirical experiment with 151,248 convergence R&D projects during the 2015~2021 time period. The results showed that convergence R&D projects in both public health and life sciences appeared the highest degree of persistency. It was presumed that the degree of persistency has increased again due to the COVID-19 pandemic. Meanwhile, the degree of diversity has risen with combining with disciplinary such as materials, chemical engineering, and brain science areas to solve social problems including mental health, depression, and aging. This study not only provides implications for improving the concept and definition of dynamic convergence in terms of persistency and diversity for national convergence R&D strategy but also presented dynamic convergence index and analysis methods that can be practically applied for directing public R&D programs.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.89-104
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• 2011

Large-scaled information extraction plays an important role in advanced information retrieval as well as question answering and summarization. Information extraction can be defined as a process of converting unstructured documents into formalized, tabular information, which consists of named-entity recognition, terminology extraction, coreference resolution and relation extraction. Since all the elementary technologies have been studied independently so far, it is not trivial to integrate all the necessary processes of information extraction due to the diversity of their input/output formation approaches and operating environments. As a result, it is difficult to handle scientific documents to extract both named-entities and technical terms at once. In order to extract these entities automatically from scientific documents at once, we developed a framework for scientific core entity extraction which embraces all the pivotal language processors, named-entity recognizer and terminology extractor.

• Journal of Auto-vehicle Safety Association
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• v.13 no.2
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• pp.35-41
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• 2021

In this study, improved path tracking control algorithm based on pure pursuit algorithm is newly proposed by using improved lane detection algorithm through real time post-processing with interpolation methodology. Since the original pure pursuit works well only at speeds below 20 km/h, the look-ahead distance is implemented as a sigmoid function to work well at an average speed of 45 km/h to improve tracking performance. In addition, a smoothing filter was added to reduce the steering angle vibration of the original algorithm, and the stability of the steering angle was improved. The post-processing algorithm presented has implemented more robust lane recognition system using real-time pre/post processing method with deep learning and estimated interpolation. Real time processing is more cost-effective than the method using lots of computing resources and building abundant datasets for improving the performance of deep learning networks. Therefore, this paper also presents improved lane detection performance by using the final results with naive computer vision codes and pre/post processing. Firstly, the pre-processing was newly designed for real-time processing and robust recognition performance of augmentation. Secondly, the post-processing was designed to detect lanes by receiving the segmentation results based on the estimated interpolation in consideration of the properties of the continuous lanes. Consequently, experimental results by utilizing driving guidance line information from processing parts show that the improved lane detection algorithm is effective to minimize the lateral offset error in the diverse maneuvering roads.

• Journal of KIISE
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• v.43 no.7
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• pp.820-826
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• 2016

There is a growing requirement for big data processing which extracts valuable information from a large amount of data. The Hadoop system employs the MapReduce framework to process big data. However, MapReduce has limitations such as inflexible and slow data processing. To overcome these drawbacks, SQL query processing techniques known as SQL-on-Hadoop were developed. Apache Tajo, one of the SQL-on-Hadoop techniques, was developed by a Korean development group. External merge sort is one of the heavily used algorithms in Tajo for query processing. The performance of external merge sort in Tajo is influenced by two parameters, sort buffer size and fanout. In this paper, we analyzed the performance of external merge sort in Tajo with various sort buffer sizes and fanouts. In addition, we figured out that there are two major causes of differences in the performance of external merge sort: CPU cache misses which increase as the sort buffer size grows; and the number of merge passes determined by fanout.

• Journal of KIISE:Information Networking
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• v.36 no.5
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• pp.376-382
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• 2009

The recent growth of cable broadcast technology such as Tru2Way enables the cable service operator to provide more enhanced experiences to cable TV audience. As a result, various applications have been produced and user can easily access cable network to receive multimedia content as well as interactive application in cable environment. In order for current cable technology to be accepted as a web extended technology, a process of web based applications having a web document and multimedia resources, proper web service definition and middleware architecture for existing cable environment should be established. In this paper, we define a web application for cable environment and propose a middIeware architecture which can process web application based on Tru2Way technology

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.209-232
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• 2023

In order to embrace open research commons, this study looked at the requirements that researchers have for research data platforms. A survey questionnaire was developed using the results of Australian ARDC and European EOSC case studies. The questionnaire addressed five main areas: the need for research data commons, analysis tools, computing resources, consumption of research data, and general respondent characteristics. To determine the requirements for research data platforms, an analysis was conducted on the responses provided by 550 potential platform users. The findings demonstrated that more than 85% of participants concurred on the significance of open research commons. Additionally, there was a high willingness to use research data (77%), analysis tools (84%), share research data (92%), analysis tools (93%), and computing resources (93%) if commons services were provided. The results of this study show that there is a significant demand for open research commons among researchers. Discussions on research data commons are still hard to come by in Korea's research data services sector, though. Research on a range of subjects, such as subject areas, stakeholder characteristics, and real users of commons platforms, need be conducted in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.203-212
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• 2019

Along with the recent fourth industrial revolution, the world's manufacturing powerhouses are pushing for national strategies to revive the sluggish manufacturing industry. Moon Jae-in, the government is in accordance with the trend, called 'advancement of science and technology is leading the fourth round of the Industrial Revolution' strategy. Intelligent information technology such as IoT, Cloud, Big Data, Mobile, and AI, which are key technologies that lead the fourth industrial revolution, is promoting the emergence of new industries such as robots and 3D printing and the smarting of existing major manufacturing industries. Advances in technologies such as smart factories have enabled IoT-based sensing technology to measure various data that could not be collected before, and data generated by each process has also exploded. Thus, this paper uses data generators to generate virtual data that can occur in smart factories, and uses them to analyze the cause of the defect in real time and to predict the replacement cycle of the facility.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.754-758
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• 2009

Extracting information in large-scale documents would be very useful not only for information retrieval but also for question answering and summarization. Even though relation extraction is very important area, it is difficult to develop and evaluate a machine learning based system without test collection. The study shows how to build test collection(KREC2008) for the relation extraction system. We extracted technology terms from abstracts of journals and selected several relation candidates between them using Wordnet. Judges who were well trained in evaluation process assigned a relation from candidates. The process provides the method with which even non-experts are able to build test collection easily. KREC2008 are open to the public for researchers and developers and will be utilized for development and evaluation of relation extraction system.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.2
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• pp.223-235
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• 1999

본 논문에서는 HDTV 데이터를 입출력할 수 있는 고속 실시간 데이터 저장 시스템을 제안한다. 이 시스템은 ⅰ) 방대한 크기를 HDTV 데이터를 고속으로 입출력할 수 있어야 한다. ⅱ)데이타를 연속적으로 입출력할 수 있는 것 외에 데이터를 비선형적으로 랜덤하게 억세스 할 수 있어야 한다. ⅲ)실시간으로 데이터를 재생하기 위해 일정하게 주어진 시스템 입출력 속도를 항상 만족할수 있어야 한다. 이러한 조건을 만족시키기 위해서 여러 개의 하드디스크를 병렬로 연결하고 데이터들을 각각의 하드디스크에 나누어 저장하였다. 하드디스크의 입출력 성능은 하드디스크 아암의 탐색 동작에 의해 크게 좌우되므로 탐색 동작을 효과적으로 제어할 수 있는 방법이 설계되었다. 제안된 시스템은 주제어부, 데이터 분배부, 종제어부로 나뉘며 각각의 하드디스크는 독립도니 종제어부에 의해 제어된다. 제안된 시스템이 주어진 요구사항을 만족하는지를 확인하기 위하여, 제안된 시스템을 DEVS 형식론을 이용하여 구현하고 시뮬레이션 하였다. DEVS 형식론은 이산사건 시스템을 계층적이고 모듈화된 형태로 기술한다. 시뮬레이션 과정에서 발생된 사건들을 분석하였다. 그 결과 제안된 시스템이 주어진 요구사항을 잘 만족함을 보았다.