• ETRI Journal
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• v.46 no.1
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• pp.11-21
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• 2024

We focus on open-domain question-answering tasks that involve a chain-of-reasoning, which are primarily implemented using large language models. With an emphasis on cost-effectiveness, we designed EffiChainQA, an architecture centered on the use of small language models. We employed a retrieval-based language model to address the limitations of large language models, such as the hallucination issue and the lack of updated knowledge. To enhance reasoning capabilities, we introduced a question decomposer that leverages a generative language model and serves as a key component in the chain-of-reasoning process. To generate training data for our question decomposer, we leveraged ChatGPT, which is known for its data augmentation ability. Comprehensive experiments were conducted using the HotpotQA dataset. Our method outperformed several established approaches, including the Chain-of-Thoughts approach, which is based on large language models. Moreover, our results are on par with those of state-of-the-art Retrieve-then-Read methods that utilize large language models.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.1-11
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• 2022

As data-based research activities and outcomes increase and ontact or non-face-to-face activities become common, the demand for easy utilization of resources, tools, functions, and easily accessible information required for research in the R&D sector has increased accordingly. With the rapid increase in the demand for collaborative research based on online platforms, research support institutions strive to provide venues for research activities that merge various information and functions. ScienceON, an integrated science & technology (S&T) knowledge infrastructure service developed and operated by the Korea Institute of S&T Information (KISTI), supports open collaboration by connecting and merging all the information, functions, and infrastructure required for research activities. This paper describes the online research activity support tool provided by ScienceON and the remarkable results achieved through this activity. Specifically, the excellent creation of the following flow of meta-material research activities in the ontact space is elucidated. First, the papers required for a meta-material analysis are retrieved, virtual simulation is conducted with the experimental data extracted from the papers, and research data are accumulated. ScienceON's tools for supporting ontact research activity will play a role as an important service in the era of digital transformation and open science.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.317-344
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• 2019

Increasing the value of data, paradigm shifts in research methods, and specific manifestations of open science indicate that research is no longer text-centric, but data-driven. In this study, we analyzed the services for DCC, ICPSR, ANDS and DataONE to derive key elements and functional requirements for research data management and services that are still insufficient in domestic research. Key factors derived include DMP writing support, data description, data storage, data sharing and access, data citations, and data management training. In addition, by presenting functional requirements to the derived key elements, this study can be applied to construct and operate RDM service in the future.

• Human Ecology Research
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• v.59 no.3
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• pp.287-296
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• 2021

This study examined the influences of demographic variables, parent-adolescent conversation time, and open communication on the positive psychological capital of adolescents. The data were collected from 243 middle school students living in Gwangju from December 23, 2019, to January 3, 2020. Data were analyzed using correlation analysis, and hierarchical regression analysis. The results can be summarized as follows. First, with economic condition, academic achievement, parent-adolescent conversation time, and open communication, positive psychological capital showed significant difference statistically. Second, father-adolescent open communication best explained positive psychological capital, followed by academic achievement, and mother-adolescent open communication. The results highlight the important roles played by parent-adolescent open communication and academic achievement in improving adolescents'positive psychological capital. The study contributes to the literature by providing fundamental insights into adolescents'positive psychological capital.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.36-45
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• 2020

The method and process of research and development (R&D) is changing when we develop artificial intelligence (AI), and the way R&D results are dispersed is also changing. For the R&D process, using and participating in open-source ecosystems has become more important, so we need to be prepared for open source. For product and service development, a combination of AI algorithm, data, and computing power is needed. In this paper, we introduce ETRI AI Strategy #4, "Expanding AI Open Platform." It consists of two key tasks: one to build an AI open source platform (OSP) to create a cooperative AI R&D ecosystem, and another to systematize the "x+AI" open platform (XOP) to disperse AI technologies into the ecosystem.

• Korean Journal of Computational Design and Engineering
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• v.16 no.2
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• pp.137-145
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• 2011

A variety of BIM libraries are required to apply BIM(Building Information Modeling) software and generate BIM data. However, enterprises are establishing their own libraries using BIM tools, the drawbacks are that these libraries are not open to other users, or they just can be used in some software packages. If IFC(Industry Foundation Classes), the standard format of open BIM, can be applied, the BIM library can be applied in all the BIM software packages. Although the enterprises can collaborate using IFC standard, it is difficult to represent all the property information of the construction materials by IFC. IFD(International Framework for Dictionaries) is used to solve these problems and add the property information of the construction materials easily. Therefore, Open RIM-based library needs to be developed using IFD. In this research, the development and application of BIM library and IFD in domestic and foreign countries were investigated and analyzed, and Open BIM-based IFD scenario was proposed for using, and finally by applying an IFD method, the IFD data was added within an IFC model. Consequently, Open BIM-based library can be extended with rich, formal, and semantic descriptions and enhance data interoperability among BIM software packages adopting Open BIM standard format, by applying the IFD.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.33-59
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• 2018

This study draws on the current momentum to diversify open government data research through multidimensional scaling and model development. It formulates a quality assessment model applicable to library open data, taking into consideration the paucity of such research in the field. The model was developed using the Delphi method and verified for validity and reliability on the basis of a survey administered to library open data users. The results of the fourth round exhibited an average of 4.00 for all measured elements and a minimum validity of .75, rendering the model appropriate for use in quality assessments of library open data. The convergence and stability results provided by the expert panel fell below .50, confirming that there was no need to conduct further surveys in order to establish the validity of the Delphi method. The model's reliability likewise garnered results of .60 and above in all three dimensions. This Model completed with the input of the Delphi panel was put through a verification process in which library open data users such as domestic and international librarians, developers, and open data activists reviewed the model for validity and reliability. The model scored low on validity on account of its failure to load all measure factors and elements pertaining to the three dimensions. Reliability results, on the other hand, were at 0.6 and above for all dimensions and measured elements.

• Journal of Korean Society of Archives and Records Management
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• v.13 no.2
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• pp.149-178
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• 2013

Recently many countries have established data platforms to disclose government-owned data that include administrative data-sets and provide free access to the public via Web. This research analyzes the "Socrata" and "CKAN", the most popular representative open data platforms in the world, and reviews functions and their practical cases in operation in several cities of various nations. It also examines the current status of the data-set services in the City of Seoul to provide conceptual bases for management and service of the local governments' data-sets using open data platform. Then it suggests measures that ensure the long-term preservation and management of data-sets as archives for services, which includes the aspects of preparing systems, creating and managing data, providing services, and selecting platforms.

• ETRI Journal
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• v.30 no.2
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• pp.268-274
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• 2008

This paper proposes an open-loop clock recovery circuit (CRC) using two high-Q dielectric resonator (DR) filters for 39.8 Gb/s and 42.8 Gb/s dual-mode operation. The DR filters are fabricated to obtain high Q-values of approximately 950 at the 40 GHz band and to suppress spurious resonant modes up to 45 GHz. The CRC is implemented in a compact module by integrating the DR filters with other circuits in the CRC. The peak-to-peak and RMS jitter values of the clock signals recovered from 39.8 Gb/s and 42.8 Gb/s pseudo-random binary sequence (PRBS) data with a word length of $2^{31}-1$ are less than 2.0 ps and 0.3 ps, respectively. The peak-to-peak amplitudes of the recovered clocks are quite stable and within the range of 2.5 V to 2.7 V, even when the input data signals vary from 150 mV to 500 mV. Error-free operation of the 40 Gb/s-class optical receiver with the dual-mode CRC is confirmed at both 39.8 Gb/s and 42.8 Gb/s data rates.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.3
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• pp.46-55
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• 2003

This study aims to evaluate the Ulsan city residents' perception and satisfaction with open spaces and cityscape after consideration in the side of getting primary data for the city open spaces policy and Green Plan for Ulsan city. In this study, low data was gathered by questionnaires survey with stratified random sampling method. Questionnaires were designed by several sets of variables such as behavioral patterns, satisfactions for open spaces and user's demographic variables. Data were analyzed by descriptive statistics, cross-tabulation and regression analysis. The main results of this study can be summarized as follows : 1. In overage the residents were slightly satisfied with park open spaces. There were good and poor park open spaces. in the perceptions of citizens as follows : 'nearby mountain and open spaces', 'rail side green area' were high satisfactory, and 'riverside', 'green qualities' were low in satisfaction. 2. In overage the residents were slightly satisfied with cityscape. There were good and poor cityscape in the perceptions of citizens as follows : 'nearby forest in and open spaces', 'night scape of an urban center' were high satisfactory, and 'streetscape', 'appearances of high-rise buildings' were low in satisfaction. 3. As a results of regression analysis predictable variables for satisfaction with Park and Open spaces were : 'open spaces by the public', 'open spaces by neighbor', 'grande open spaces', 'open spaces of residence'. 4. As a results of regression analysis predictable variables for satisfaction with cityscape were : 'Central Business District(C.B.D) and nearby mountain and open spaces', 'residence and streetscape', 'riverside and park green open spaces'.