• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.3
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• pp.75-98
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• 2016

The sharing economy has been evaluated as a sustainable system dominating the next 10 years and one of the 10 ideas which can change the world. The purpose of this study is to reveal whether there is any relevance between the sharing economy and libraries, if the library can be the core model of the sharing economy, and to propose how libraries could contribute to a sharing economy. To this end, literature related to the sharing economy and the actual cases of its implementation were analyzed. The results are as follows: First, the library was evaluated as a successful model of the sharing economy because it has shared information and tools for centuries. Therefore, it was concluded that the library could be an institution that can lead to a sharing economy. Second, it was analyzed that the library could foster the sharing economy through offering its space, and functioning as the infinite imagination room and smart work center, sharing goods through Little Free Libraries, as well as various other resources of library, and sharing various types of knowledge including reference services. Third, it can be said that the possibility of realizing a shared economy in libraries is inexhaustible, and librarians can play an active role and will positively influence the success or failure in terms of realizing the sharing economy. In the future, there needs to be a study to measure the practices and the performance of the sharing economy of libraries.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.391-413
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• 2006

This study analyzed the procedures and contents of digitalization of sinological resources owned by major sinological resource institutes in Korea. It investigated the united organizations that use such sinological resources It also assessed governmental policies and future Plans for digitalization of sinological resources. Finally, it proposed steps and conditions necessary for successful digitalization of sinological resources. (1) The level of digitalization of library management, searching, and usage system of national library, university library, and research library that has been applied since 1980s has already been highly advanced. The amount of sinological resources collected is significant and its substance value is very high. The digitalized resources are already distributed on internet partially. However, the level of digitalization of sinological resources still lacks some aspects and requires further effort. (2) The data base for digitalized sinological resources already available can be grouped into bibliographic information, contents and annotation, and full text. and it includes both domestic and foreign resources. The quantities of resources are as described in the body (3) The types of digital sinological resources include antient books. archives, micro, and book blocks. (4) The encoding DB methods of digital sinological resources include text. image, PDF. and etc. (5) The united organizations of sinological resources enable us to avoid duplicated investigation and enhance service efficiency. Here are some factors to consider in order to accomplish ideal digitalization of sinological resources. (1) First of all, it is necessary to organize a control center for digitalization procedures of old materials, and allow it a certain degree of authority to develop and Proceed a comprehensive Plan. (2) Both short- and long-term plans need to be developed in order to analyze various aspects of digitalization process. and their steps need to be taken gradually (3) It is necessary to train experts for old materials and let them construct and manage DB.

• Journal of the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.251-271
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• 2007

This paper studies the problem of classifying documents with labeled and unlabeled learning data, especially with regards to using document similarity features. The problem of using unlabeled data is practically important because in many information systems obtaining training labels is expensive, while large quantities of unlabeled documents are readily available. There are two steps In general semi-supervised learning algorithm. First, it trains a classifier using the available labeled documents, and classifies the unlabeled documents. Then, it trains a new classifier using all the training documents which were labeled either manually or automatically. We suggested two types of semi-supervised learning algorithm with regards to using document similarity features. The one is one step semi-supervised learning which is using unlabeled documents only to generate document similarity features. And the other is two step semi-supervised learning which is using unlabeled documents as learning examples as well as similarity features. Experimental results, obtained using support vector machines and naive Bayes classifier, show that we can get improved performance with small labeled and large unlabeled documents then the performance of supervised learning which uses labeled-only data. When considering the efficiency of a classifier system, the one step semi-supervised learning algorithm which is suggested in this study could be a good solution for improving classification performance with unlabeled documents.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.119-134
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• 2018

A knowledge map as the taxonomy used in a knowledge repository should be structured to support and supplement knowledge activities of users who sequentially inquire and select knowledge for problem solving. The conventional knowledge map with a hierarchical structure has the advantage of systematically sorting out types and status of the knowledge to be managed, however it is not only irrelevant to knowledge user's process of cognition and utilization, but also incapable of supporting user's activity of querying and extracting knowledge. This study suggests a methodology for constructing a networked knowledge map that can support and reinforce the referential navigation, searching and selecting related and chained knowledge in term of contents, between knowledge. Regarding a keyword as the semantic information between knowledge, this research's networked knowledge map can be constructed by aggregating each set of knowledge links in an automated manner. Since a keyword has the meaning of representing contents of a document, documents with common keywords have a similarity in content, and therefore the keyword-based document networks plays the role of a map expressing interactions between related knowledge. In order to examine the feasibility of the proposed methodology, 50 research papers were randomly selected, and an exemplified networked knowledge map between them with content relevance was implemented using common keywords.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.26-41
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• 2017

The purpose of this study was to classify parks by type and to propose management plans for each park type. Environmental characteristics of urban parks in Daegu Metropolitan City were used to classify them into five categories. A total of 68 neighborhood parks were classified using their internal/external environmental factors, with a resulting distribution of 41 parks classified as 'FFR-type parks,' 12 as 'HNR-type parks,' 6 as FFCI-type parks,' 3 as FFA-type parks,' and 6 as 'HNA-type parks.' In the analysis of ecological and usage characteristics for the neighborhood park types, FFR-type parks had excellent park accessibility and the highest population density within the park service area. HNR-type parks had high NDVI from their natural green spaces, but their accessibility was low. FFCI-type parks had very low NDVI and green space connectivity, and also had low park accessibility and population density. FFA-type parks had low NDVI and green space connectivity, and very poor accessibility. HNA-type parks had high NDVI and green space connectivity. These findings provide an effective base dataset for use in preparing long-term plans for remodeling and managing urban neighborhood parks.

• Spatial Information Research
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• v.4 no.2
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• pp.131-146
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• 1996

The purpose of this study is to extract the main locational factors to affect the location of fastfood stores in Kangnam -Gu, Seoul by using Geographic Information Systems. The Franchise system, which came to be employed in full scale since 1990, now enjoying the booming period, especially fast food industry. The procedure of this research has four steps. First, the spatial distribution of fastfood chain stores in Seoul is analyzed by the land use and road map. Second, the spatial variations of fastfood stores in dong districts of Seoul is explained by multiple regression analysis. Third, the main locational factors to affect the location of fast food stores in Kangnam -Gu are extracted by demand and supply sides using GIS technologies. Finally, the potentiallocational zones where are selected by extracted locational factors are compared with the actual distribution of f astf ood stores in Kangnam - Gu. In terms of demand side, the main locational factors include commercial and service facilities, sub¬ways and bus stops which have a lot of pedestrians, and large apartment districts that have high popu¬lation densities. In terms of supply sides, the main locational factors include land use types and land value, accessibility. After fast food chain stores of Kangnam -Gu are overlaid final potentiallocational zones extracted by demand and supply sides of locational factors, it can be identified that over 80 % of fastfood stores are located in the potentiallocational zone. In conclusion, this study shows that spatial analysis functions may potentially be improved using GIS technologies. However there are still difficulties for the locational analysis for service industries to col¬lect appropriate data in terms of computerized base maps as well as consumer behavior and store characteristics itself.

• Journal of KIISE:Software and Applications
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• v.34 no.10
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• pp.900-909
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• 2007

This paper describes an experiment on the evaluation of human sensibility by monitoring responses to changes In the frequency and amplitude of a tactile display system. Preliminary tasks were performed to obtain effective adjectives concerning texture perception. The number of collected adjectives was originally 33. This number of adjectives was reduced to 14 by a suitability survey that asked whether an adjective is suitable for expressing a texture feeling. Finally after performing a semantic similarity evaluation, the number of adjectives was further reduced to ten and these ten were used in the main experiment. In the main experiment, selected sandpaper types and 15 selected combinations of frequencies and amplitudes of a tactile display were utilized to quantitatively evaluate the ten adjectives using a bipolar seven-point scale. The data show that a relationship exists between the independent variables(frequency, amplitude, and grit site) and the dependent variable(perceived texture). That is, the change of frequency and amplitude is directly related to perceived roughness or essential elements of human tactile sensitivity found in the preliminary experiment.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.249-254
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• 2007

A mobile robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. We focus on how to detect a object region well using image processing algorithm because it gives robots the ability of working for human. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Shape information and signature algorithm are used to segment the objects from background regardless of shape changes. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.

• Korean Security Journal
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• no.20
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• pp.45-69
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• 2009

This study is to present effective and rational strategies by comparing and analyzing plans of some nations such as the United States, Britain, Germany and Japan against terrorism. Nations mentioned above have made alliance to prevent the possible terrorism after 9.11 attack and performed various tasks efficiently. The result of this study is summarized as follows. First, it is required that there should be an integrated system which works properly. Each nation has not distinguished natural disaster from man-made one based on the damage and the abilities of authorities to deal with. On the other hand, South Korea tells two disasters according to causes and runs distributed systems in which each government division performs its duties to manage each disaster. Accordingly, in economic terms, it is much more effective to provide integrated counter terrorism, not distributed one. Second, information sharing must be stimulated. To take actions quickly when an accident occurs, the government needs to have united and integrative systems, which make it prepare for various types of terrorism well. In addition, it is necessary for a government-related organization to tie up with other channels for collecting, analyzing and sharing information. For this, integrative systems for terrorism should be taken into consideration.

• Korean Journal of Remote Sensing
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• v.32 no.5
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• pp.529-538
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• 2016

This study, multispectral and hyperspectral sensors were utilized to use radiometric cross validation for the purpose of radiometric quality evaluation of a 'KOMPSAT-3'. Images of EO-1 Hyperion and Landsat-8 OLI sensors taken in PICS site were used. 2 sections that have 2 different types of ground coverage respectively were selected as the site of cross validation based on aerial hyperspectral sensor and TOA Reflectance. As a result of comparison between the TOA reflectance figures of KOMPSAT-3, EO-1 Hyperion and CASI-1500, the difference was roughly 4%. It is considered that it satisfies the radiological quality standard when the difference of figure of reflectance in a comparison to the other satellites is found within 5%. The difference in Blue, Green, Red band was approximately 3% as a comparison result of TOA reflectance. However the figure was relatively low in NIR band in a comparison to Landsat-8. It is thought that the relatively low reflectance is because there is a difference of band passes in NIR band of 2 sensors and in a case of KOMPSAT-3 sensor, a section of 940nm, which shows the strong absorption through water vapor, is included in band pass resulting in comparatively low reflectance. To overcome these conditions, more detailed analysis with the application of rescale method as Spectral Bandwidth Adjustment Factor (SBAF) is required.