• Journal of agriculture & life science
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• v.44 no.6
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• pp.51-59
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• 2010

This study was conducted to analyze the type and priority order of forest functions that is suitable in assessing a private forest. A questionnaire survey of experts group and forest officers from the city and county office was conducted and the appropriateness of forest functions type and priority order of function were assessed. Based on the survey conducted, they mostly agreed that it is necessary to change the name of forest functions and integrate the forest functions. Four classifications of forest functions were presented: resources rotation, water yield, living environment, and forest conservation. As the variety of organizations and geographical areas determine which forest functions are the priority, it is necessary to determine which function will become the priority order according to geographical areas, instead of simply dividing the forest functions into national and publicly owned forest when assessing the forest functions of private forests across the nation.

• Korean Journal of Remote Sensing
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• v.24 no.6
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• pp.613-620
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• 2008

Web on Web 2.0 paradigm is regarded as a kind of platform. Accordingly, users on web can use almost same applications like using certain applications on personal computer, to given purposes. For Web as platform, it needs web-based or web-recognizable file format to communicate or to exchange various information contents and data among applied applications. Text-based JSON is a practical format directly linked Javascript on Web, so that XML-typed data, being previously built, can be possible for tagging process containing JSON format. However, GeoJSON handling geo-spatial data sets is now fledgling stage in standards. Thus, it is not on the practical applicability level, and there are a few tools or open sources for this format. To adopt GeoJSON for the future Geo-web application, users implement GeoJSON parser or apply the server-based open source GIS for their purpose. In this study, a preliminary work for GeoJSON application in Geo-web service carried out using Google Maps API and openlayers library API.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.11
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• pp.271-276
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• 2019

Conventional ARIA algorithm which is used LUT based-S-Box is fast the processing speed. However, the algorithm is hard to applied to small portable devices. This paper proposes the hardware design of optimized ARIA crypto-processor based on the modified composite field S-Box in order to decrease its hardware area. The Key scheduling in ARIA algorithm, both diffusion and substitution layers are repeatedly used in each round function. In this approach, an advanced key scheduling method is also presented of which two functions are merged into only one function for reducing hardware overhead in scheduling process. The designed ARIA crypto-processor is described in Verilog-HDL, and then a logic synthesis is also performed by using Xilinx ISE 14.7 tool with target the Xilnx FPGA XC3S1500 device. In order to verify the function of the crypto-processor, both logic and timing simulation are also performed by using simulator called ModelSim 10.4a.

• Smart Media Journal
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• v.7 no.4
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• pp.30-36
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• 2018

Single domain model like DataLake framework is in spotlight because it can improve data efficiency and process data smarter in big data environment, where large scaled business system generates huge amount of data. In particular, efficient operation of network, storage, and computing resources in logical single domain model is very important for physically partitioned multi-site data process. Based on the advantages of Data Lake framework, we define and extend the concept of Connected Data Architecture and functions of DataLake framework for integrating multiple sites in various domains and managing the lifecycle of data. Also, we propose the design of CDA-based AI service and utilization scenarios in various application domain.

• Smart Media Journal
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• v.7 no.4
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• pp.9-16
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• 2018

In order to improve the economics and flexibility of cloud computing, tendency to automate the operation and management of cloud resources has become complicated. However, while automation for cloud storage depends on the manufacturer's storage hardware, it cannot flexibly support the storage type in accordance with users' needs. In this paper, we propose an automatic configuration module that supports block/file/object storages suitable for user environment. In order to automatically install ceph, a cloud storage, we propose an automatic installation and configuration module based on the Chef configuration management tool. In addition to that, we also propose an automatic configuration module based on a shell programming in pursuit of enabling users to use ceph storage of block/file/object. The proposed method can automatically set up and manage shared file, block, and object storages in a virtual or physical user environment with no hardware dependencies.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.119-131
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• 2018

The increase of high-resolution spatial data and methodological developments in recent years has enabled a detailed analysis of individual experiences in space and over time. However, despite the increasing availability of data and technological advances, such individual-level analysis is not always possible in practice because of its computing requirements. To overcome this limitation, there has been a considerable amount of research on the use of high-performance, public cloud computing platforms for spatial analysis and simulation. The purpose of this paper is to empirically evaluate the efficiency and effectiveness of spatial analysis in cloud computing platforms. We compare the computing speed for calculating the measure of spatial autocorrelation and performing geographically weighted regression analysis between a local machine and spot instances on clouds. The results indicate that there could be significant improvements in terms of computing time when the analysis is performed parallel on clouds.

• Journal of Platform Technology
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• v.6 no.4
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• pp.69-77
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• 2018

In the case of personal information files containing personal information, there is insufficient awareness of personal information protection in end-point areas such as personal computers, smart terminals, and personal storage devices. In this study, we use Diffie-Hellman method to securely retrieve personal information files generated by web crawler. We designed SEED and ARIA using hybrid slicing to protect against attack on personal information file. The encryption performance of the personal information file collected by the Web crawling method is compared with the encryption decryption rate according to the key generation and the encryption decryption sharing according to the user key level. The simulation was performed on the personal information file delivered to the external agency transmission process. As a result, we compared the performance of existing methods and found that the detection rate is improved by 4.64 times and the information protection rate is improved by 18.3%.

• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1155-1163
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• 2018

Recently, much attention has been focused on the change and role of the Arctic region due to climate change. Studies using various platforms are being conducted in the polar regions. Among them, monitoring of Arctic cryosphere information using remote sensing is the most important observational role of various scientific activities. This special issue introduces several studies on polar exploration monitoring in polar research. We hope that this special issue contributes to the sharing of information on the role of polar exploration in remote areas, as well as the identification of the current status of domestic polar exploration and remote environmental exploration. We are also looking forward to the efforts of Korean remote sensing experts to find out the persistent polar exploration field and to increase national support.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.197-199
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• 2016

In this paper, we investigate a market equilibrium in multi-channel sharing cognitive radio networks (CRNs): it is assumed that every subchannel is orthogonally licensed to a single primary user (PU), and can be shared with multiple secondary users (SUs). We model this sharing as a spectrum market where PUs offer SUs their subchannels with limiting the interference from SUs; the SUs purchase the right to transmit over the subchannels while observing the interference limits set by the PUs and their budget constraints. The utility function of SU is defined as least achievable transmission rate, and that of PU is given by the net profit. We define a market equilibrium in the context of extended Fisher model, and show that the equilibrium is yielded by solving an optimization problem, Eisenberg-Gale convex program.

• Korean Journal of Cognitive Science
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• v.30 no.1
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• pp.1-30
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• 2019

The main goal of this paper is to understand the underlying cognitive mechanisms of collaborative learning and how it can be supported by technology. The paper first overviews changes in conceptions of learning and distinguishes different types of joint works including collaborative learning. Cognitive mechanisms of collaborative learning are examined in terms of resource pooling, facilitation of constructive activities, knowledge co-construction, and supports for monitoring and regulation. Socio-emotional mechanisms of collaborative learning moderate the directions and strengths of these cognitive mechanisms. Technology supports these mechanisms in a number of different ways. Seven major supports technology provides for collaborative learning are discussed. A deeper understanding of the cognitive mechanisms of collaborative learning can help us to harness the benefits of collaborative learning better and also to develop more sophisticated tools supporting collaborative learning.