• Journal of the Korean Institute of Landscape Architecture
• /
• v.51 no.2
• /
• pp.103-119
• /
• 2023

Since the Korean government has decided to apply the policy of BIM (Building Information Modeling) to the entire construction industry, it has experienced a positive trend in adoption and utilization. BIM can reduce workloads by building model objects into libraries that conform to standards and enable consistent quality, data integrity, and compatibility. In the domestic architecture, civil engineering, and the overseas landscape architecture sectors, many BIM library standardization studies have been conducted, and guidelines have been established based on them. Currently, basic research and attempts to introduce BIM are being made in Korean landscape architecture field, but the diffusion has been delayed due to difficulties in application. This can be addressed by enhancing the efficiency of BIM work using standardized libraries. Therefore, this study aims to provide a starting point for discussions and present a classification system for objects and attribute information that can be referred to when creating landscape libraries in practice. The standardization of landscape BIM library was explored from two directions: object classification and attribute information items. First, the Korean construction information classification system, product inventory classification system, landscape design and construction standards, and BIM object classification of the NLA (Norwegian Association of Landscape Architects) were referred to classify landscape objects. As a result, the objects were divided into 12 subcategories, including 'trees', 'shrubs', 'ground cover and others', 'outdoor installation', 'outdoor lighting facility', 'stairs and ramp', 'outdoor wall', 'outdoor structure', 'pavement', 'curb', 'irrigation', and 'drainage' under five major categories: 'landscape plant', 'landscape facility', 'landscape structure', 'landscape pavement', and 'irrigation and drainage'. Next, the attribute information for the objects was extracted and structured. To do this, the common attribute information items of the KBIMS (Korean BIM Standard) were included, and the object attribute information items that vary according to the type of objects were included by referring to the PDT (Product Data Template) of the LI (UK Landscape Institute). As a result, the common attributes included information on 'identification', 'distribution', 'classification', and 'manufacture and supply' information, while the object attributes included information on 'naming', 'specifications', 'installation or construction', 'performance', 'sustainability', and 'operations and maintenance'. The significance of this study lies in establishing the foundation for the introduction of landscape BIM through the standardization of library objects, which will enhance the efficiency of modeling tasks and improve the data consistency of BIM models across various disciplines in the construction industry.

• Journal of the Korean Society for information Management
• /
• v.41 no.1
• /
• pp.261-282
• /
• 2024

This study proposed and evaluated electroencephalography (EEG)-based and eye-tracking-based methods to determine relevance by utilizing users' implicit relevance feedback while navigating content in a digital library. For this, EEG/eye-tracking experiments were conducted on 32 participants using video, image, and text data. To assess the usefulness of the proposed methods, deep learning-based artificial intelligence (AI) techniques were used as a competitive benchmark. The evaluation results showed that EEG component-based methods (av_P600 and f_P3b components) demonstrated high classification accuracy in selecting relevant videos and images (faces/emotions). In contrast, AI-based methods, specifically object recognition and natural language processing, showed high classification accuracy for selecting images (objects) and texts (newspaper articles). Finally, guidelines for implementing a digital library interface based on EEG, eye-tracking, and artificial intelligence technologies have been proposed. Specifically, a system model based on implicit relevance feedback has been presented. Moreover, to enhance classification accuracy, methods suitable for each media type have been suggested, including EEG-based, eye-tracking-based, and AI-based approaches.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.33 no.2
• /
• pp.75-95
• /
• 2022

This study was carried out with the aim of analyzing the development and functional changes of Webdewey, which has become a basic tool of classification learning, analyzing it in terms of usability for learners, and suggesting specific ways to improve WebDewey's usability. In order to achieve this research objective, the concepts and principles of UI and usability were first laid out, and Webdewey's structure and key functions were analyzed. Since then, Webdewey's media changes and periodical feature changes have been analyzed. In addition, an opinion survey was conducted on the usability of WebDewey among learners who used WebDewey in the learning process, and proposed ways to improve WebDewey's usability based on the implications and direction of improvement derived from it. In terms of UI, proposals have been made to introduce display methods, visualization devices, the advantages of printed versions, and the development of Korean versions. In terms of the 'Create built number' function, suggestions have been made to improve usability in terms of basic number selection, composite route guidance and error message provision, new reference and route construction, screen and button design, and built-number component guidance.

• Journal of Korea Society of Industrial Information Systems
• /
• v.2 no.1
• /
• pp.73-87
• /
• 1997

Multilayer neural network using a modified beackpropagation learning algorithm was introduced to achieve automatic identification of different types of aircraft in a variety of 3-D orientations. A 3-D shape of an aircraft can be described by a library of 2-D images corresponding to the projected views of an aircraft. From each 2-D binary aircraft image we extracted 2-D invariant (L, Φ) feature vector to be used for training neural network aircraft classifier. Simulations concerning the neural network classification rate was compared using nearest-neighbor classfier (NNC) which has been widely served as a performance benchmark. And we also introduced reliability measure of the designed neural network classifier.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2012.08a
• /
• pp.161-165
• /
• 2012

이 연구에서는 대통령기록물을 효율적으로 관리 활용하기 위한 분류체계가 없는 실정에서 대통령이 가지는 초법적 지위 및 위상과 대통령기록물의 특성을 반영한 분류체계(안)을 설계하였다. 설계기본원칙은 국가기록원 분류표의 주제별 분류원칙과 행정안전부 공공정보 분류체계의 기능별 분류원칙을 미국 백악관기록관리실 주제적 관점을 수용하였다. 이에 따라 이 연구에서는 25개의 대분류항과 109개의 중분류항을 대통령기록물 분류체계(안)를 제안하였다.

• Journal of Information Science Theory and Practice
• /
• v.1 no.2
• /
• pp.6-15
• /
• 2013

Dr. Ranganathan's "Principles for Helpful Sequence" among the set of normative principles play an exclusive role in the arrangement of subject isolates. Each subject in the universe of subjects is regulated by a guiding principle of its own which analogously determines the sequence of Arrays in ordering the subject surrogates or isolates. For example, the "Principle of Later-in-Evolution" is applied for sequencing isolates of Animal and Plant Species; this concept can be applied to one of the tools of KOS viz. Taxonomies. The application of Principles for Helpful Sequence is summarily presented and in the process the paper highlights the inherent elements of knowledge organization in each one of these principles in a manner that might map the future course of research in this area with the potentiality to bring about a relation between principles for helpful sequence and KOS.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.14 no.1
• /
• pp.219-230
• /
• 2003

The purpose of this study is to improve of retrieval effectiveness to clustered and filtered document through query expansion. The result of this research prove that extended queries and documents, information in encyclopedia, clustering and filtering techniques are effective to promote retrieval effectiveness.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.22 no.3
• /
• pp.247-267
• /
• 2011

The purpose of this study is to investigate knowledge structure of knowledge organization research area in Korea. The study employed content analysis and network analysis to analyze degree centrality, betweenness, and eigenvector as well as frequency of words. It also analyzes research articles published during the period of 2000-2001. The study can be summarized that the network of keywords of knowledge organization researches is compact and complicated. Cataloging and classification play important roles in the network, and metadata and ontology becomes focal areas in knowledge organization. On the other hand, networks of authorships and authors are broad and fragmented. Collaboration is not active enough.

• Journal of the Korean Society for Library and Information Science
• /
• v.50 no.2
• /
• pp.47-75
• /
• 2016

This study was conducted to develop items for evaluating the level of the digitization of libraries. For this purpose, it analyzed the literature related to the digital library, underwent a convergence process of 10 experts, and finally derived an axis of 13 different dimensions comparing the digitization of libraries. The axis is composed of acquisitions, collections (physical and online collections), classification and cataloging, circulation service, reference, user service, SNS service, the library's organization and staff, device providing service, next-generation service, and status of our library. This study conducted a survey of librarians to secure the validation of the primarily derived evaluation items regarding libraries' digitization. As a result, the average rating of the traditional evaluation items was 3.82, and the average rating of the digital evaluation items was 4.08. Therefore, it can be said that the results of this research to evaluate the digitized level of libraries have a certain degree of validity.

• Journal of Korean Library and Information Science Society
• /
• v.52 no.1
• /
• pp.27-54
• /
• 2021

This study examines the overall contents of robots, drones, and autonomous driving that can be applied to libraries among autonomous objects, and proposes a plan that can be introduced and applied to libraries in the future based on this. As a result of the study, in the case of the building, robots and drones can be used to apply from collection inspection, collection transport, collection arrangement, collection classification, book location guidance, book recommendation, loan/return, library general guidance, and reference information service. Outside of the building, robots, drones, and autonomous vehicles can be used for book delivery service, book return service, and unmanned mobile libraries. This study is a basic research for the introduction and application of autonomous objects in the library, and follow-up studies such as perception survey and application model development for systematic introduction should be conducted in the future.