• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.33-48
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• 2011

This study investigated and analyzed various library classification systems and related literature in order to suggest some modifications and expansion of the Dewey Decimal Classification, the 23rd edition (DDC 23) in the area of immigration policy - an interdisciplinary subject - for the best information organization and services. First of all, definitions and scopes of the immigration policy were dealt with and then primary subject areas of it were selected. And then, DDC, Library of Congress Classification, Korean Decimal Classification, and Universal Decimal Classification were compared and analyzed according to the structures, headings and characteristics. Finally, modified classification schedules in immigration policy of the DDC 23 - the most frequently used one with an regular revision was proposed with their principles and main schedules with an auxiliary table. It can be used for an effective information organization in immigration policy area and it will be useful for many libraries and research institutes on immigration policy.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.211-235
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• 2007

The paper establishes a policy classification system in order to classify and evaluate the science and technological innovation policies in Korea. We rebuild an innovation system model based on the national innovation system(NIS) concept. The model consists of human capital infrastructure(HCI), institutional infrastructure(II), technological infrastructure(TI), technology market(TM), industrial organization(IO), and innovation networks(IN). We give these 6 components of the modified system 1-digit number, respectively. Then we build the sub-systems according to these components, classify the policy categories in more detail, and finally complete the 3-digit policy classification table. This policy classification table may be useful in studying the science and technological innovation policy in both theoretical and empirical aspects. For example, the table can be the tool to examine the program portfolio profile(PPP) or to implement the questionary survey on the actual policies.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.135-171
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• 2014

The aim of this study was to suggest a classification system adapted to provide policy information services. For this purpose, this study completed the following processes; BRM taxonomy analysis, document analysis, analysis of classification systems providing policy information, consulting classification experts, surveys and interviews with policy information consumers, and an empirical validation process through the actual construction of policy information materials. Finally, this study complemented and modified the BRM taxonomy system and proposed a classification system appropriate to policy information resources. Through the procedures of experts discussion, the steps of BRM analysis appropriate to provide policy information services is determined as three steps. The domestic institute websites for policy information services has confirmed the appropriateness of the BRM taxonomy system through the analysis system and service research to provide policy information resources. Also through the specialist interview, the confirmation of BRM and the improvement has been drawn. Through the questionaires, the study analyzes the appropriateness of available BRM taxonomy system and the requirements by subjects. And through the empirical verificaion, it determines the subject of BRM taxonomy system for policy information services.

• The Journal of Information Systems
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• v.29 no.3
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• pp.1-34
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• 2020

Purpose Due to the complexity of policy environment in modern society, it is accepted as common basics of policy design to mix up a variety of policy instruments aiming the multiple functions. However, under the current situation of written-down policy specification, not only the public officers but also the policy researchers cannot easily grasp such frameworks as policy portfolio. The purpose of this study is to develop "Policy Attributes Taxonomy" identifying and classifying the public programs to help making decisions for allocative efficiency with effectiveness-based information. Design/methodology/approach To figure out the main scheme and classification criteria of Policy Attributes Taxonomy which represents characteristics of public policies, previous theories and researches on policy components were explored. In addition, to test taxonomic feasibility of certain information system, a set of "Feasibility Standards" was drawn from "requirements for well-organized criteria" of eminent taxonomy literatures. Finally, current government classification system in the area of social service was tested to visualize the application of Taxonomy and Standards. Findings Program Taxonomy Schemes were set including "policy goals", "policy targets", "policy tools", "logical relation" and "delivery system". Each program and project could be condensed into these attributes, making their design more easily distinguishable. Policy portfolio could be readily made out by extracting certain characteristics according to this scheme. Moreover, this taxonomy could be used for rearrangement of present "Program Budget System" or estimation of "Basic Income".

• Journal of Korean Library and Information Science Society
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• v.45 no.3
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• pp.63-92
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• 2014

This study developed the subject guide by policy areas for advancement of policy information service, designed the system for constructing the policy-related resources, and tried to construct policy information resources on a trial basis. For the development and construction of policy areas subject guide, first, we divided the aggregated materials into top 9 types, and subdivided into 19 types. Second, we constructed the policy contents for subject guide service, based on BRM classification system which is functional classification of government. Third, a total of 6,305 were build in accordance with 133 BRM subject guide. As a result, it is said that the effectiveness of the policy subject guide developed by this study, were verified by constructing the experimental data.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.73-96
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• 2019

This study suggests a new approach for identifying core robot tech-nologies based on technological cross-impact. Specifically, the approach applies data mining techniques and multi-criteria decision-making methods to the co-classification information of registered patents on the robots. First, a cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Analytic network process (ANP) is applied to the co-classification frequency matrix for deriving weights of each robot technology. Then, a technique for order performance by similarity to ideal solution (TOPSIS) is employed to the derived cross-impact matrix and weights for identifying core robot technologies from the overall cross-impact perspective. It is expected that the proposed approach could help robot technology managers to formulate strategy and policy for technology planning of robot area.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.143-150
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• 2012

In Korea more than 38,000 types of hazardous material(HAZMAT) are distributed, accordingly the accidents during transportation are also increasing. The agencies related to HAZMAT such as Environment Ministry, National Emergency Management Agency and National Police Agency have their own regulations. However, the classification criteria of HAZMAT are different to each other, which causes many problems in response to transportation accidents. In this study the classification standard of HAZMAT and the classification code using CAS number are suggested to manage HAZMAT efficiently. Through efficient management and standard classification of HAZMAT, the rapid and systematic response to transportation accidents related to HAZMAT is expected to be possible.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.139-160
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• 2013

Ten Web sites from educational policy authorities, educational research institutions, professional educational, and national libraries that provide educational policy information services are investigated using content analysis method. They are analyzed using various types of information sources, classification schemes, and functions of information retrieval. Standardization of classification scheme of educational policy information, standardization of meta data items, improvement of retrieval systems, provision of personalized information services to educational policy authorities, operation of specialized policy information centers, and cooperation among professional institutions are suggested. A model of a specialized educational policy information center is proposed.

• Journal of Korean Society of Rural Planning
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• v.11 no.3 s.28
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• pp.1-9
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• 2005

Recently, it is demanded to study about agri-environmental indicators including rural landscape indicators. However, there are deficiency to establish the policy of int landscape. This is the base study for the policy decision or management for conservation of agricultural landscape or rural landscape. The objectives of this study were 1) to analyze the supporting elements in the foreign policies, 2) to analyze the agricultural landscape elements and visual values in the field and 3) to make the classification form about the agricultural landscape. And finally, this study suggests the management guides for the conservation of agricultural landscape according to the teleological measures. Through this results, it would be expected to develop the efficient policy of rural landscape such as the direct payment program for rural landscape conservation.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.854-860
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• 2020

Deep neural networks have shown remarkable performance in various areas, including image classification and speech recognition. The variety of data generated by augmentation plays an important role in improving the performance of the neural network. The transformation of data in the augmentation process makes it possible for neural networks to be learned more generally through more diverse forms. In the traditional field of image process, not only new augmentation methods have been proposed for improving the performance, but also exploring methods for an optimal augmentation policy that can be changed according to the dataset and structure of networks. Inspired by the prior work, this paper aims to explore to search for an optimal augmentation policy in the field of sound data. We carried out many experiments randomly combining various augmentation methods such as adding noise, pitch shift, or time stretch to empirically search which combination is most effective. As a result, by applying the optimal data augmentation policy we achieve the improved classification accuracy on the environmental sound classification dataset (ESC-50).