• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.648-651
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• 2013

클라우드 시스템에서는 데이터 소유자가 아닌 클라우드 서비스 제공자가 각 개인의 데이터에 대한 저장과 관리를 책임진다. 따라서 클라우드 서버 상의 사용자 데이터에 대한 보안을 보장해 주는 것이 가장 중요한 이슈이다. 데이터 보안 문제는 안전하고 효율적인 접근제어 기술을 통해 해결 할 수 있다. 기존 시스템에서 많이 이용되고 있는 RBAC(Role based access control)은 접근제어의 형태가 주로 수직적이고, 데이터 접근가능 여부를 역할이라는 고정적인 값에 따라 결정하기 때문에 동적인 클라우드 환경에 적합하지 않다. 반면 HASBE(Hierarchical attribute set based encryption) 모델은 ABAC(Attribute based access control)를 통해 유연하고 탄력적인 접근제어를 제공한다. 또한 HASBE 는 인가자(Authority)와 사용자의 관계 모델이 계층적인 구조를 갖고 있기 때문에 큰 조직에서 수많은 사용자들의 데이터 관리와 키 분배를 좀더 효율적으로 할 수 있다. 본 논문에서는 위의 계층적인 모델에서 더 나아가서, 실제 클라우드 환경에서 데이터가 가질 수 있는 복잡한 속성과 인가자의 관계를 고려해 다중 인가자의 개념이 더해진 모델을 제안한다.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.6
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• pp.15-22
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• 2023

In this study, We conduct a comparative study of deep learning-based classification of agricultural field attributes using Tagged Image File (TIF) and Enhanced Compression Wavelet (ECW) images. The goal is to interpret and classify the attributes of agricultural fields by analyzing the differences between these two image formats. "FarmMap," initiated by the Ministry of Agriculture, Food and Rural Affairs in 2014, serves as the first digital map of agricultural land in South Korea. It comprises attributes such as paddy, field, orchard, agricultural facility and ginseng cultivation areas. For the purpose of comparing deep learning-based agricultural attribute classification, we consider the location and class information of objects, as well as the attribute information of FarmMap. We utilize the ResNet-50 instance segmentation model, which is suitable for this task, to conduct simulated experiments. The comparison of agricultural attribute classification between the two images is measured in terms of accuracy. The experimental results indicate that the accuracy of TIF images is 90.44%, while that of ECW images is 91.72%. The ECW image model demonstrates approximately 1.28% higher accuracy. However, statistical validation, specifically Wilcoxon rank-sum tests, did not reveal a significant difference in accuracy between the two images.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.279-306
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• 2023

This study analyzed bibliographic attributes related to the selection and use of reading materials based on data on books borrowed or purchased together in order to understand the properties of reading materials that have complex user needs from various perspectives. As a result of creating co-occurrence matrices of bibliographic attribute terms by dividing them into 26 sub-attribute units related to KDC main class, target reader, and user age, and performing network analyses, the details and prominent mediating role of bibliographic attributes of reading materials were identified. The results of this study will be helpful in designing facets of reading information systems, including library OPAC, in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3836-3854
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• 2022

The student group division is benefit for universities to do the student management based on the group profile. With the widespread use of student smart cards on campus, especially where students living in campus residence halls, students' daily activities on campus are recorded with information such as smart card swiping time and location. Therefore, it is feasible to depict the students with the daily activity data and accordingly group students based on objective measuring from their campus behavior with some regular student attributions collected in the management system. However, it is challenge in feature representation due to diverse forms of the student data. To effectively and comprehensively represent students' behaviors for further student group division, we proposed to adopt activity data from student smart cards and student attributes as input data with taking account of activity and attribution relationship types from different perspective. Specially, we propose a novel student group division method based on a multi-view student attribute heterogeneous information network (MSA-HIN). The network nodes in our proposed MSA-HIN represent students with their multi-dimensional attribute information. Meanwhile, the edges are constructed to characterize student different relationships, such as co-major, co-occurrence, and co-borrowing books. Based on the MSA-HIN, embedded representations of students are learned and a deep graph cluster algorithm is applied to divide students into groups. Comparative experiments have been done on a real-life campus dataset collected from a university. The experimental results demonstrate that our method can effectively reveal the variability of student attributes and relationships and accordingly achieves the best clustering results for group division.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.651-654
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• 2010

This paper presents the establishment of the information of metadata for an Authorization tool of UML class diagram. When it comes to modeling classes in UML class diagram, the paper defines expressed classes and the relationship. The class represents the concept of an object, which defines Name, Attribute and Operation. The relationship is between classes, which defines the name and the type of the Relationship, From Class and To Class. And it suggests how to handle and process the information of metadata for an authorization tool of UML class diagram.

• International Journal of Contents
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• v.12 no.2
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• pp.37-41
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• 2016

In this paper, we propose a friend recommendation scheme that takes into consideration the attribute information of a POI and a user's movement patterns. The proposed scheme broadly consists of a part that filters out other users who have different preferences by calculating preferences using the attribute information of users and a part that finds a moving trajectory close to that of a user with a pattern-matching scheme. To verify the superiority of the proposed scheme, we compare it with existing schemes through various performance evaluations.

• Journal of Korea Multimedia Society
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• v.7 no.10
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• pp.1339-1353
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• 2004

< TABLE > tags in HTML documents are widely used for formatting layout of Web documents as well as for describing genuine tables with relational information. As a prerequisite for information extraction from the Web, this paper presents an efficient method for sophisticated table detection. The proposed method consists of two phases: preprocessing and attribute-value relations extraction. For the preprocessing where genuine or ungenuine tables are filtered out, appropriate rules are devised based on a careful examination of general characteristics of < TABLE > tags. The remaining is detected at the attribute-value relations extraction phase. Specifically, a value area is extracted and checked out whether there is a syntactic coherency Futhermore, the method looks for a semantic coherency between an attribute area and a value area of a table that may be inappropriate for the syntactic coherency checkup. Experimental results with 11,477 < TABLE > tags from 1,393 HTML documents show at the method has performed better compared with previous works, resulting in a precision of 97.54% and a recall of 99.22% in average.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.59-67
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• 2013

In this paper, we propose the LAR_CF, latent attribute rating-based collaborative filtering, that is robust to data sparsity problem which is one of traditional problems caused of decreasing rating prediction accuracy. As compared with that existing collaborative filtering method uses a preference rating rated by users as feature vector to calculate similarity between objects, the proposed method improves data sparsity problem using unique attributes of two target objects with existing explicit preference. We consider MovieLens 100k dataset and its item attributes to evaluate the LAR_CF. As a result of artificial data sparsity and full-rating experiments, we confirmed that rating prediction accuracy can be improved rating prediction accuracy in data sparsity condition by the LAR_CF.

• Management & Information Systems Review
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• v.32 no.3
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• pp.61-81
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• 2013

The sharp increase of number of the smartphone users has drawn the attention of both academia and industry. The objectives of this research is to seek for the answers of what is the most important and relatively important function from the point view of smartphone users through empirical analysis. The goal is to provide valuable information for the smartphone developing and manufacturing industry. To reach the results, AHP method is applied in this study. First of all, the questionnaire survey was prepared based on the respondent in the basis of the extraction of the smartphone functional attribute factors from the references. Then, the importance of the functional attribute was attained by the Expert Choice program. In addition, customers satisfaction of the functional attribute of the present smartphone was analyzed. Furthermore, the research results were presented by the inspiration and limitation practically.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.5
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• pp.11-21
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• 2004

To authorize IPSec-VPN Client in Client-to-Gateway type of the IPSec-VPN system, it can be normally used with ID/Password verification method or the implicit authorization method that regards implicitly IPSec-VPN gateway as authorized one in case that the IPSec-VPN client is authenticated. However, it is necessary for the Client-to-Gateway type of the IPSec-VPN system to have a more effective user authorization mechanism because the ID/Password verification method is not easy to transfer the ID/Password information and the implicit authorization method has the vulnerability of security. This paper proposes an effective user authorization mechanism using an attribute certificate and designs a user authorization engine. In addition, it is implemented in this study. The user authorization mechanism for the IPSec-VPN system proposed in this study is easy to implement the existing IPSec-VPN system. Moreover, it has merit to guarantee the interoperability with other IPSec-VPN systems. Furthermore, the user authorization engine designed and implemented in this paper will provide not only DAC(Discretional Access Control) and RBAC(Role-Based Access Control) using an attribute certificate, but also the function of SSO(Single-Sign-On).