• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.601-606
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• 2024

Today, governments are evolving into digital governments that actively leverage digital technologies to promote national development. Government websites play a crucial role as key elements in reshaping the interaction between individuals and the government. Within this context, government website chatbots play an important role in facilitating citizens' easy access to information. However, the chatbot ND on the National R&D Knowledge Information Portal (NTIS) exhibits low usage rates. This study proposes a framework based on user journey mapping to address the usability issues of chatbot ND. By delineating the user journey into pre-usage, in-usage, and post-usage stages, the study aims to identify points of inconvenience experienced by users at each stage and provide enhanced user experiences.

• The Journal of Korea Robotics Society
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• v.19 no.3
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• pp.293-310
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• 2024

In this paper, we propose an agent model for Language-Driven Zero-Shot Object Navigation (L-ZSON) tasks, which takes in a freeform language description of an unseen target object and navigates to find out the target object in an inexperienced environment. In general, an L-ZSON agent should able to visually ground the target object by understanding the freeform language description of it and recognizing the corresponding visual object in camera images. Moreover, the L-ZSON agent should be also able to build a rich spatial context map over the unknown environment and decide efficient exploration actions based on the map until the target object is present in the field of view. To address these challenging issues, we proposes AML (Agent Model for L-ZSON), a novel L-ZSON agent model to make effective use of AI foundation models such as Large Language Model (LLM) and Vision-Language model (VLM). In order to tackle the visual grounding issue of the target object description, our agent model employs GLEE, a VLM pretrained for locating and identifying arbitrary objects in images and videos in the open world scenario. To meet the exploration policy issue, the proposed agent model leverages the commonsense knowledge of LLM to make sequential navigational decisions. By conducting various quantitative and qualitative experiments with RoboTHOR, the 3D simulation platform and PASTURE, the L-ZSON benchmark dataset, we show the superior performance of the proposed agent model.

• Journal of The Korean Association of Information Education
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• v.20 no.6
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• pp.655-672
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• 2016

The purpose of this study was to investigate the effects of prior-knowledge level and supportive information types in web-based learning using 4C/ID model(Four-Components Instructional Design model) on cognitive load and schema acquisition. To achieve the purpose, this study applied a web based learning. 166 university students participated in web-based learning for 4 weeks. After web-based learning, they checked self report for cognitive load and made concept map for schema acquisition and the datum from them were used for 2 ways ANOVA. According to the findings, groups in prior-knowledge level invested significantly differences on cognitive load and a question group in case of supportive information types didn't invested significant differences on cognitive load with statement group. Second, groups in prior-knowledge level invested significantly differences on schema acquisition and a question group in case of supportive information types invested significantly higher schema acquisition than a statement group. Furthermore, it happened interaction effect between supportive information types and prior-knowledge level on schema acquisition. This research has several implications with regard to suggesting the guidelines and conditions for the authentic task of the novice.

• Journal of Korean Academy of Nursing
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• v.24 no.4
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• pp.696-705
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• 1994

This study was done to provide a basis for home health care management for women following Cesarean delivery. Furthermore it was initiated as an possible application of home health care in the future. In this study, client selection criteria was developed by the researcher and assessment tools for home health care, recording system and problem oriented recording system were revised from Jun's(1993) methods. The selection criteria tool for home health care for women who had a Cesarean delivery was structured and consisted of five areas : physical status, functional status, psychological-emetional status, educational needs status and environmental status. The structured assessment tool consisted of general items, obstetric history, past medical history, methods of feeding, medications taken before ad-mission, laboratory results, discharge instructions, discharge medications, family tree, economic status, environmental status, a map, health assessment of women and their newborns. The visit note consisted of the date : nursing problems : nursing process including initial assessment : nursing goals : visit plan : health status of the postpartum women and their newborn : nursing diagnoses : nursing implementation evaluation : summary : next visit plan and revision. The problem oriented recording system consisted of the date, problem numbers, nursing diagnoses, problem appearance date, problem resolution date. The results of the research are as follows : The seven cases having had a Cesarean delivery were discharged on an average on the 5th day after the Cesarean birth. The total number of home visits was 13. According to Cordon's functional health patterns the total possible nursing diagnoses was 34 diagnoses for the methers and their newborns. Among the 34 diagnoses, there were 13 diagnoses in the health perception /management pattern, 7 in the psychosocial health perception / management pattern, 8 in the psychosocial self-perception, 2 in the nutrition / metabolism pattern of physical function, 2 in the knowledge deficit of newborn management, anxiety related to newborn management, knowledge deficit related to disease process of new-born, anxiety related to disease process of newborn anxiety related to prognosis of baby's condition, knowledge deficit related to newborn jaundice each appeared once. The changes in the number of nursing diagnoses was related to not the number of visits but to the number of nursing diagnoses decreasing. The con-tent of the home health care was categorized ac-cording to assessment, direct care, counseling, education, family care. The recommendation based on the results of this research are Home health care nurses for Cesarean postpartum women and their neonates requires comprehensive knowledge of pregnancy, delivery, and the postpartum period and of the neonate so that they can provide appropriate care and holistic views. Most of cases terminated after the second visit, this outcome may be related to the subjects being discharged on the 5th day after delivery. Therefore, study done with earlier discharge after delivery may have different outcome. It is very hard to assess psychological aspects that need follow-up and to develop communication channels.

• Journal of Information Management
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• v.42 no.4
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• pp.95-113
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• 2011

The new millennium with mystifying convergence of IT has opened new challenges to LIS profession. This has resulted to continuous skill development and lifelong learning, for capacity building in consonant with contemporary changes. The LIS profession in India has created several mechanisms to organize and conduct several skills development programmes through which professionals are continuously enabled to update their professional knowledge and skills, in practice and teaching. There is a good organizational infrastructure and identified areas related to the recent developmental trends and as such LIS professionals and educators have facilities for updating their knowledge at veritable levels and intervals. The paper has surveyed programmes conducted by different organizations at different levels and highlights the aspects of the organizational infrastructure and the emergent areas of applications in LIS teaching, research and professional practices in India. The selection of areas and subjects for various skill development programmes suggest the competencies acquired by the LIS professionals from India, and the empowerment of their professional knowledge can be of immense value to its neighbouring countries. The paper highlights the knowledge and competencies of the LIS professionals in India and the broad-based facilities available here which can be a model for those countries which are seeking to utilize the LIS human resources from this part of the sub-continent. The paper in this circumstance surveyed on the institutional infrastructure for skill developmental opportunities available in India which would meet such requirements within and to the countries outside in the South Asian region seeking its collaboration in such manpower development work.

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.343-352
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• 2004

Recently, the information processing of ever increasing bio-related data is becoming a very important issue. One of the main sources of these bio-data comes with the form of biopathways, which includes molecular transactions and processes that are part of biochemical systems. The information represented by biopathways includes various organic relations among its components. However, most of the current systems to represent biopathways have been initially developed without computer processing in mind, and hence suffer from inconsistencies and ambiguities. In this paper, we propose an improved notation, called UniPath, for clear and systematic representation of biopathways. The proposed system is designed to provide a unified representation of metabolic and regulatory pathways. We also designed and implemented a graphic editor for UniPath to draw biopathwavs map according to the proposed notation. The graphic editor is designed so that biopathway data can be easily transformed into XML format.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.227-246
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• 2017

Purpose: This study proposes a Shiny-Sigma Methods that combines the advantages of Six Sigma method and Shainin method in order to solve field defect. Each technique has advantages and disadvantages. Methods: This study proposed Shiny-Sigma by combining Six Sigma has the logical advantage of the problem solving road map and Shiny has the merits of finding the root problem from the defective phenomenon. The Six Sigma method has the disadvantage that it is difficult to solve if the number of data is small, but the Shiny method has the advantage of finding the root cause with a small number of data. Results: As a result of applying Shiny-Sigma method to the field, it has advantages of solving the problem easily and quickly than the existing Six Sigma method. It does not require a lot of statistical knowledge, which helps field workers to use it. Based on these successes L Co. company has obtained the effect of improving the production quality by applying the Shiny-Sigma method. Conclusion: The Shiny-Sigma method proved to be suitable for the production site as a result of field application. It is suitable for field workers with low statistical knowledge and is suitable for field where data is difficult to obtain. This method is not a method to solve all the problems because there are problems that can be solved according to the field problems. We hope that this method will spread to many industrial sites and this method will have a great effect on the improvement of field production quality.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.235-243
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• 2013

This study analyzes the interaction of variables consisting of the local finance system based on the theory of system thinking regarding how financial decentralization can be understood as the political means for local decentralization and why it is needed. The results gained from this research are as follows: first, variables consisting of the local finance system form interactional relationship in the significant level, and it has been found that rapid growth and rapid decline repeat with five positive feedback loops as the center. Second, strategic points for the validity of local finance decentralization were discovered through causal map modeling. In particular, it has been shown that the virtuous cycle structure declines the local finance system through the constant operation of variables (government subsidies, taxation for real estate transactions, central government's local finance mediation system, and local government debt, etc.) that deteriorate the vicious cycle structure. Based on this, strategic policy tasks were drawn. It is expected that this study will help the understanding of the local finance system and increase academic width for local finance from the aspects of general knowledge, not the knowledge about local finance decentralization.

• Journal of Information Management
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• v.37 no.3
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• pp.61-84
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• 2006

In this paper, we proposed one of the methods for building thesaurus in Science & Technology domain and investigated its applicability as an inference service based on ontology. There exist as many building methods for thesaurus as its role and function, and actually many thesauri capable of ensuring the accuracy and efficiency in information search are being built by many experts. After examining the previous studies related to the principles of building thesaurus and relevant concept "facet", we focused on its characteristics and applied it to building thesaurus. The facet is classified into 2 categories, conceptual facet and relational facet. The latter contains 3 subcategories: category relational facet, attribute relational facet and thematic relational facet. The thesaurus for Science & Technology domain using facets can be applied as a web-based inference service. As a result, the three types of inference service, COP(Communities of Practice), Researcher Tracing and Research Map are provided by means of ontology, and can be applied for the Query Expansion.

• Journal of the Korean housing association
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• v.23 no.4
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• pp.59-67
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• 2012

Developing the modern design of Hanok and providing support for the commercialization model development in recent years propelled by the New Hanok Support Strategies of the central government in conjunction with the New Hanok revitalization related projects reflecting local goverments. New Hanok revitalization, the rekindling and revaluing of human behaviors and interests in local goverments following the social and cultural changes of the past decades, has emeraged as an increasingly traditional area of concerning in New Hanok planning. In this paper we attempt to this discussion by describing recent projects in New Hanok revitalization in Jeollanam-do Province. Therefore, this study aims to examine the classification of compound knowledges based multidimensional relationship by using Self-Organizing Maps (SOM). SOM is an unsupervised learning neural network model for the analysis of high-dimensional input data. By using SOM, we were able to create a cluster map reflecting the characteristics of the New Hanok. In this case the pattern of the preference data was easily understood by visual analysis. Liking for compound knowledge deduced from this data was classified into 8 categories according to the compound knowledge properties of New Hanok. As a result, a systematic approach for analysis the characteristics of individual family and living environment of New Hanoks and 10 space usage patterns the changes in some aspects of New Hanok.