• The KIPS Transactions:PartC
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• v.18C no.6
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• pp.369-378
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• 2011

To ensure data confidentiality and fine-grained access control in business environment, system model using KP-ABE(Key Policy-Attribute Based Encryption) and PRE(Proxy Re-Encryption) has been proposed recently. However, in previous study, data confidentiality has been effected by decryption right concentrated on cloud server. Also, Yu's work does not consider a access privilege management, so existing work become dangerous to collusion attack between malicious user and cloud server. To resolve this problem, we propose secure system model against collusion attack through dividing data file into header which is sent to privilege manager group and body which is sent to cloud server. And we construct the model of access privilege management using AONT based XOR threshold Secret Sharing, In addition, our scheme enable to grant weight for access privilege using XOR Share. In chapter 4, we differentiate existing scheme and proposed scheme.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.1-9
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• 2021

Deep learning in computer vision has made accelerated improvement over a short period but large-scale learning data and computing power are still essential that required time-consuming trial and error tasks are involved to derive an optimal network model. In this study, we propose a similar image classification performance improvement method based on CR (Confusion Rate) that considers only the characteristics of the data itself regardless of network optimization or data reinforcement. The proposed method is a technique that improves the performance of the deep learning model by calculating the CRs for images in a dataset with similar characteristics and reflecting it in the weight of the Loss Function. Also, the CR-based recognition method is advantageous for image identification with high similarity because it enables image recognition in consideration of similarity between classes. As a result of applying the proposed method to the Resnet18 model, it showed a performance improvement of 0.22% in HanDB and 3.38% in Animal-10N. The proposed method is expected to be the basis for artificial intelligence research using noisy labeled data accompanying large-scale learning data.

• The Journal of Korean Society for School & Community Health Education
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• v.23 no.2
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• pp.25-38
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• 2022

목적: 본 연구의 목적은 대사증후군 주의군 대비 대사증후군의 위험요소를 식별하여 예방을 위한 중재방안을 마련하기 위한 것이다. 방법: 한국의료패널 2015년도 데이터를 활용하여 당뇨만 앓고 있는 사람을 주의군으로 당뇨, 고혈압, 이상지질혈증을 모두 앓고 있는 사람을 대사증후군으로 구분하여 추출한 다음 가중치를 부여하여 총 1,559,884명을 대상으로 하였다. 주의군 대비 개인적 특성, 건강생활습관 특성, 삶의 질 특성, 의료이용 특성에 대한 대사증후군의 영향요인을 분석하였다. 결과: 개인적 특성에서는 40대미만 연령대에 비해 연령에 비례하여 대사증후군 위험이 증가하다 70대에 40대미만과 유사한 수준으로 떨어졌다. 남성보다는 여성, 고졸이하보다는 대졸이상, 중소지역에 비해 서울시 거주자, 장애가 없는 군보다는 있는 군, 의료급여가입자보다는 건강보험 가입자, 경제활동을 안하는 군보다는 경제활동 군의 대사증후군 위험이 높았다. 건강생활 습관 특성에서는 비흡연자보다는 흡연자, 술을 안마시는 군보다는 주 2-3회 이상 음주자, 운동을 하는 군보다 안하는 군, BMI가 정상인 군보다는 30 이상인 군에서 대사증후군 위험이 높았다. 삶의 질 특성에서는 일상 활동에 지장이 없는 군보다 있는 군, 통증이나 불편이 없는 군보다 있는 군, 주관적 건강상태가 보통이상보다는 나쁜 군, 섭식문제가 없는 군보다 있었던 군에서 대사증후군 위험이 높았다. 의료이용 특성에서는 미충족 의료이용 경험이 없는 군보다 있었던 군, 약제비가 부담이 안되는 군보다 부담이 되는 군에서 대사증후군 위험이 높았다. 결론: 당뇨를 앓고 있는 그룹 중 본 연구를 통해 확인된 대사증후군 위험 요소가 많은 이들에 대해 우선적으로 대사증후군 예방 보건교육을 집중하는 방안을 제언한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.5-5
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• 2020

가뭄은 일반적으로 기상학적, 수문학적, 농업적 및 사회·경제적 가뭄으로 분류된다. 그 중 강수량 부족으로 인해 야기되는 기상학적 가뭄은 지역 사회에 직접적인 피해를 유발하는 도화선이 된다. 그러나 강우량 부족이 경제적, 사회적 피해로 전파되는 과정은 단순하지 않으며, 정량화가 어려운 실정이다. 가뭄 위험도는 수문기상학적 요인뿐만 아니라 자연재해에 대한 지역의 취약성의 맥락에서 파악되어야하므로, 가뭄 위험도 평가 방안은 위험도와 지역사회 사이의 관계를 규명하는 과정을 포함해야 한다. 이러한 문제를 해결하기 위해 가뭄 취약성(vulnerability)과 노출성(hazard)을 정량화하여 나타내는 지표를 적용한 가뭄 위험도 분석 방법이 주로 사용된다. 일반적으로 수용되는 취약성 개념은 개인 또는 그룹이 자연재해의 영향에 대처하고 이에 저항할 수 있는 능력을 의미하며, 노출성은 자연적 또는 인간이 유발할 수 있는 물리적 사건의 가능성을 나타낸다. 따라서 취약성은 지역의 문화적, 사회적 및 경제적 인자를 이용하여 정의된다. 반면 노출성은 주어진 시간 또는 영역 내에서의 특정 현상의 발생 확률에 따라 결정된다. 본 연구에서는 가뭄 취약성 지수 (Drought Vulnerability Index, DVI)와 가뭄 노출성 지수(Drought Hazard Index, DHI)를 이용하여 지역 가뭄 위험도를 평가하였다. 취약성 및 노출성 지수를 활용한 선행연구에서의 주요 쟁점은 연구자의 주관성을 배제하고 지역의 상황을 반영할 수 있도록 (1) 객관적이고 합리적인 변수의 선택과 (2) 각 인자들의 관계를 규정하는 가중치 정의 방법이다. 본 연구에서는 확률론적 접근방법을 적용한 위험도 평가 방안을 제시하고자 하였다. DVI를 산정 시 지역에서 지배적인 사회경제적 인자를 선택하기 위해 주성분분석(PCA) 기법을 활용하였으며, DHI는 이변량 가뭄 빈도 분석에 의해 산정된 특정 가뭄사상의 발생 확률로 정의되었다. 본 연구에서는 국내에서 가뭄 위험도가 가장 높은 것으로 평가되는 충청북도 및 충청남도를 대상지역으로 선정하고 지역 위험도를 평가하였다. 그 결과 가장 가뭄 위험도가 높은 지역은 충청북도에서는 청주시, 충청남도에서는 공주시로 분석되었다. 특히 청주시는 DVI가 매우 높지만 DHI는 상대적으로 작게 나타났으며, 반면 공주시는 DHI와 DVI가 지역 내에서 가장 높게 산정되었다.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.3
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• pp.333-358
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• 2024

To promote libraries as "Libraries for All," it is essential to assess the current state of regional library infrastructures and explore policy support strategies for their improvement. This study develops the 'Library Vitality Index' as a metric to evaluate libraries' capabilities as sustainable infrastructures. The index assesses various aspects, including libraries' environmental responsiveness, accessible design, level of digital transformation, and capacity to provide universal cultural services. The research involved a comprehensive review of domestic and international cases, Delphi surveys, and expert group interviews to derive the final set of indicators. These indicators were weighted based on their importance using AHP analysis. The final index consists of three components: regional library activation (300 points), individual library capacity (470 points), and feedback systems (30 points), with a total of 800 points. The index includes 108 items, divided into 14 for regional library activation, 88 for individual library capacity, and 6 for feedback systems.

• Korean Journal of Soil Science and Fertilizer
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• v.41 no.6
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• pp.387-392
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• 2008

It is very important to characterize five major properties of topography, drainage class, soil texture, available soil depth, and gravel content for soil survey. We used multidimensional scaling method for analyzing five major properties for the soils originated from sedimentary rocks to understand their relationships. We simplified 5 major characteristics on soils derived from sedimentary rocks. That is, topographic factor was 15 to 9, soil texture was 32 to 6, drainage class was 6 to 5, available depth was 4, and gravel content was 3. For the viewpoint of eigenvector, from dimension 2, 3 to dimension 1, 4, mountain soils and more fine soils dominated. By eigenvalue, there was no tendency, but in details, was some tendency between small groups. Like this, closely observe exceptional distribution of soils, we need improved intra-group homogeneity based on weight control of soil factor, addition and subtraction of soil factors. Also, we carefully analyzed soil characteristics involved intra-group, then we need reconsideration of past classification units.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.327-335
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• 2014

The Korean government, as of last year, is attempting to introduce a competitive system in the rail-market. However there are some pertinent issues which need to be addressed in order to select the best possible organization for optimum railway traffic control. As there are no standard guidelines in selecting an agency, objective evaluation factors need to be properly applied to ensure the best possible decision is made. Through literature review and various interviews with experts, appropriate criteria were selected to evaluate the suitability of each potential operator. As generally mentioned, both safety and efficiency play vital roles in the selection process but in addition, there are other factors such as security and fairness, which also need to be considered. The individual weight of these factors were calculated by the AHP, in which three groups of experts were interviewed to acquire their expertise. According to the results, as a potential operator, the score of a railway operating company and the management cooperation of railway is 2.75 and 3.85, respectively. In the future, in preparation towards becoming a competitive rail-market, this research is expected to assist in choosing the best party to control the rail traffic system.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.37 no.1
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• pp.55-63
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• 2000

This paper investigated the sub-region compression effect of the three dimensional DCT(3D-DCT) using the difference component(DC) of inter-frame in images. The proposed algorithm are the method that obtain compression effect to divide the information into subband after 3D-DCT, the data appear the type of cubic block(8${\times}$8${\times}$8) in eight difference components per unit. In the frequence domain that transform the eight differential component frames into eight DCT frames with components of both spatial and temporal frequencies of inter-frame, the image data are divided into frame component(8${\times}$8 block) of time-axis direction into 4${\times}$4 sub block in order to effectively obtain compression data because image components are concentrate in corner region with low-frequency of cubic block. Here, using the weight of sub block, we progressed compression ratio as consider to adaptive sub-region of low frequency part. In simulation, we estimated compression ratio, reconstructed image resolution(PSNR) with the simpler image and the complex image contained the higher frequency component. In the result, we could obtain the high compression effect of 30.36dB(average value in the complex-image) and 34.75dB(average value in the simple-image) in compression range of 0.04~0.05bpp.

• Information Systems Review
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• v.14 no.2
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• pp.117-140
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• 2012

It is hard, but important to evaluate and select a new service model for the public sector, accompanying unexpectable risk. The purpose of this study is to build and develop the evaluation framework of public projects and to present a project evaluation system which is more rational and methodical. The evaluation framework has been developed by calculating the evaluation criteria and weights resulted from an interview with an expert group and Analytic Hierarchy Process(AHP). Moreover, market-oriented characteristics, technology-oriented characteristics, service development capabilities and policy-oriented characteristics were predominantly chosen as the evaluation items. The re-evaluation of the app development support programs was conducted to check the feasibility as an evaluation system influencing the performance of firms. The result of an evaluation system proposed by this study showed better evaluation performance than previous ones, better predicting the actual business performance. Currently, though the policies of the public sectors and support programs focus on the outcome and performance management, the result of this study shows the importance of project selections. Also, implications of the study are discussed.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.117-127
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• 2012

Identifying user requirements efficiently and reflecting them on the existing system is very important in a rapidly changing web and mobile environments. This study proposes the strategies to refining requirements and to prioritizing those refined requirements for changing of web and mobile application based on user requirements (e.g. mobile application comments, Q&A, reported information as discomfort factors). In order to refining the user requirements, those requirements are grouped by using the advancement of the software business of the Forum of standardization and the existing configuration-based programs. Then, we mapped them onto the PIECES framework to identifying whether the refined requirements are correctly reflected to the system in a way of valid and pure. To determine the priority of refined requirements, first, relative weights are given to software structure, requirements and categories of PIECES. Second, integration points on each requirement are counted to obtain the relative value of partial and overall score of a set of software structural requirements. In order to verifying the possibility and proving the effectiveness of proposing technique in this study, survey was conducted on changing requirements of mobile application which have been serviced at S University by targeting 15 people of work-related stakeholders.