• Journal of the Korean Geographical Society
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• v.31 no.2
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• pp.317-328
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• 1996

The purpose of this paper is to review the trend of research in geographical education since the launching of the Korean Geographical Society in 1945 and to suggest the areas and directions for future oriented research in geographical education. 422 articles (including 12 books) were reviewed and analized for this paper. The outputs of research in geographical education contributed in developing and improving the geographical education in primary and secondary school geography. But to achieve stable and desirable status as a subject in the school curriculum, research in geographical education has to be changed in its target areas and methods. The results and the suggestions of this study are summarized as follows: First, research in geographical education in diverse areas, especially in the areas of significance, aims and objectives, and psychology of geographical education should be preceded the revision of the school curriclum so that the results could be used as the basis information and evidences in decision making about the curriculum. Second, research in geographical education for affective domain and skill development should be implemented more actively in accordance to the trend of integration centering around the dicipline-inquiry skill and citizenship skill. More close relationship between the circles of geographical education and geography would be one of the ways to satisfy the social needs. Third, the linkage between primary and secondary school geography is crucial to the research in geographical education. Considering the sequence in human development research in geographical education for two levels of school should be conducted in more wide school-year span. Fourth, critical and prescriptive research in geographical education focusing on the individual, diciplinary, and social relevancy of the content of geographical education may be recommended. Finally, the outputs of the research in geographical education should be publicized more widely so that the rationale for justification of subject geography and geographical education may be shared with among the researchers, educational administrators, and practioners.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.169-179
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• 2023

The purpose of this study is to suggest the direction of secondary school career education in a lifelong learning society. In that direction, first, it is necessary to strengthen teacher capacity and develop professionalism. Second, career education programs need to be improved and diversified. Third, it is necessary to strengthen collaboration and communication with career education experts as a way to strengthen cooperation and connection outside the school. Fourth, it is necessary to support online career education through improvement of career information network. Fifth, there are policy support and institutional improvement plans. Sixth, it is necessary to expand the subject of career education to the entire life. To this end, career education in secondary school is designed to flexibly cope with changes, overcome crises and turn them into opportunities, and provide experiences to solve problems. Comprehensive support for individually customized career education from a lifelong perspective that manages the degree is needed. Second, it is necessary to expand field-oriented career and job experience to provide sufficient job-related experience and support mentoring by field experts. Third, it is necessary to establish a career education network where schools, education offices, and local communities work together. Fourth, retraining of career counseling teachers is also necessary to support the strengthening of career education capacity of all teachers.

• Archives of design research
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• v.16 no.4
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• pp.385-394
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• 2003

An investigation by KRNIC (Korea Network Information Center) on the real state of usage of internet has shown that 96.9％ of children investigated had experiences of using internet. Especially the firstly ranked item that had been answered by children as a necessity of internet was 'Studying to solve tasks' rated by 83.9％. As seen from the research result, the need as a homework sonics is actually so dominant that it cannot be ignored when considering the profitability at the area of education contents, but any profound research has not been accomplished yet. Internet has been positioned as a more effective and fruitful learning tool, and also all activities done by users for exploring informations and choosing learning items under the on-line circumstances are based on the successive mutual reactions between users and computers. Up to now much of the web based learning circumstances has been introducing the User Interface using metaphor, and the same is found dominantly from the sites for children. But in spite of the availability of metaphor mentioned above the current status is much lack of profound researches about metaphor interface; and what is more, in the case of the site for elementary school students the gap of the ability recognizing metaphor is very large between lower classes and higher classes according to the degree of mental growth but that is used to be simply ignored, then a common concept is adapted to interface for all grades of classes and moreover for infant and kindergarten without any objections. Based on foregoing problems this research has put the main focus on the groping and presenting desirable directions on the prospect design of interface for children-oriented sites by analyzing the status of practical usage of metaphor interface in the field of the sites for children-oriented learning sites with concentration upon homework supporting domains.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.121-130
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• 2007

in a software development, the design or architecture prior to implementing the software is essential for the success. This paper presents a case that we successfully designed a software architecture of radiation monitoring system (RMS) for HANARO research reactor currently operating in KAERI by applying the quality attribute-driven design method which is modified from the attribute-driven design (ADD) introduced by Bass[1]. The quality attribute-driven design method consists of following procedures: eliciting functionality and quality requirements of system as architecture drivers, selecting tactics to satisfy the drivers, determining architectures based on the tactics, and implementing and validating the architectures. The availability, maintainability, and interchangeability were elicited as duality requirements, hot-standby dual servers and weak-coupled modulization were selected as tactics, and client-server structure and object-oriented data processing structure were determined at architectures for the RMS. The architecture was implemented using Adroit which is a commercial off-the-shelf software tool and was validated based on performing the function-oriented testing. We found that the design method in this paper is an efficient method for a project which has constraints such as low budget and short period of development time. The architecture will be reused for the development of other RMS in KAERI. Further works are necessary to quantitatively evaluate the architecture.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.5
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• pp.41-48
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• 2019

Our daily lives are changing at a rapid pace and the concept of smart city is spreading, as the information communication technologies apply to various fields. However, efforts to prepare for changes in society due to technological evolution are insufficient in the field of landscape architecture. The purposes of this study are to explore the concept of smart parks, to investigate how smart technology has been applied to parks, and to identify the users' perception and satisfaction on smart park services. To this end, we conducted literature review, focus group interviews with experts, and a questionnaire survey with 180 users of the IoT See pilot smart park in Daegu. Smart parks can, as a result, be defined as sustainable parks that improve users' experience in parks and solve social and environmental problems faced by utilizing various high technology. Smart technologies introduced at the park so far have been mostly focused on safety and environmental areas, including AI CCTV, smart street lamp, and fine dust warning devices. The results of survey showed that not many users were aware of the smart services the park provided due to the lack of public communication as well as the nature of maintenance-oriented smart services. The survey also found that AR services for the education of historic parks were the least utilized, while solar power benches and WiFi service were most preferred by the park users. In conclusion, smart technologies need to be integrated with diverse park contents more centered user needs, providing services to enhance safety and environmental management in order to develop user-oriented smart parks.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..

• Journal of Korea Multimedia Society
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• v.7 no.8
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• pp.1131-1144
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• 2004

In this paper, we investigate a problem with an e-learning system for e-business environments and introduce the solving method of the problem. To be more accurate, existing Web-hosted and ASP (Application Service Provider)-oriented service model is difficult to cooperate and integrate among the different kinds of systems. So we have produced sharable and reusable learning object, they have extracted a principle from pedagogical designs for units of reuse. We call LIO (Learning Item Object). This modeling makes use of a constructing for XML Web Services. So to speak, units of reuse from pedagogical designs are test tutorial, resource, case example, simulation, problem, test, discovery and discussion and then map introduction, fact, try, quiz, test, link-more, tell-more LIO learning object. These typed LIOs are stored in metadata along with the information for a content location. Each one of LIOs is designed with components and exposed in an interface for XML Web services. These services are module applications, which are used a standard SOAP (Simple Object Access Protocol) and locate any computer over Internet and publish, find and bind to services. This guarantees the interoperation and integration of the different kinds of systems. As a result, the problem of e-learning systems for e-business environments was resolved and then the power of understanding about learning objects based on pedagogical design was increased for learner and instruction designers. And organizations of education hope for particular decreased costs in constructing e-learning systems.

• Journal of Korean Ophthalmic Optics Society
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• v.10 no.3
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• pp.215-220
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• 2005

On entering new millenium, there has been an important switchover in the divergent View and its cases on commercial marketing. This study is to focus on the related influence factors of the optician's marketing. Aiming to improve the relationship of the manager and the manager and the clients, this study tried to find out the influences of the marketing. We defined quality of relation as three element, trust, satisfaction, absorption. We investigated how it influenced optician's characters, goods, service, price, physical convenience and communication to the quality of relation. Moreover, we investigated how it influenced optician characters like knowledge information, good impression, contact and relation marketing of dissatisfaction solution, also quality of relation could or not influence about repurchase intension and Big Mouth marketing. Optician's characters affect on affirmative effect to trust and absorption, but little affirmative effect to satisfaction. Since optician's characters are trust and absorption rather than satisfaction influence, they actively should improve customer-oriented variety of goods, service, physical convenience, communication. As price and communication structure of optician was formed so not modernized, we realized these have not influenced their trust, satisfaction, absorption to customer. Optician's characters influenced more affirmative effect to satisfaction than thrust and absorption. quality of relations mostly provided affirmative effect to the result of relation. The opticians should make efforts to influence on customer satisfied with goods and service, also to have trust and absorption for customer, should maintain good partnership with customer.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.466-475
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• 2020

Current performance evaluation of call center employees is dependent on the number of calls they have resolved, regardless of the individual and social characteristics of employees. However, since call center tasks are highly customer-oriented and emotional laborious, individual capability as well as social characteristics of employees is critical to performance. Therefore, this study analyzed the relationship between employees' individual/social characteristics and their performance. To extract individual characteristics, a repertory grid technique was employed, whereas social network analysis was conducted to extract the social characteristics of employees. Using individual and social characteristics as input variables, multiple regression was conducted to analyze the effect of each variable on performance. As a result, in-degree centrality of dining network, initiative characteristics, open characteristics, and enjoyment of studying were determined to be important variables for performance. This study is expected to be used in both performance management and human resource management of call center practices.