• Title/Summary/Keyword: TagCluster

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Clustering System Model of Intormation Retrieval using NFC Tag Information (NFC 태그 정보를 이용한 검색 정보의 군집 시스템 모델)

  • Park, Sun;Kim, HyeongGyun;Sim, Su-Jeong
    • Smart Media Journal
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    • v.2 no.3
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    • pp.17-22
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    • 2013
  • The growth of the propagated NFC provides the various services with respect to internet applications, which it can be predicted from the simple internet services to the privated services. This paper proposes the clustering of information retrieval system model using NFC tag of access information for utilizing the similar information of the tag. The proposed model can search the similar information of the tag using the access information of NFC tag. In addition, it can cluster the similar retrieval information into topic cluster for utilizaing users.

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Semantic-Based K-Means Clustering for Microblogs Exploiting Folksonomy

  • Heu, Jee-Uk
    • Journal of Information Processing Systems
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    • v.14 no.6
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    • pp.1438-1444
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    • 2018
  • Recently, with the development of Internet technologies and propagation of smart devices, use of microblogs such as Facebook, Twitter, and Instagram has been rapidly increasing. Many users check for new information on microblogs because the content on their timelines is continually updating. Therefore, clustering algorithms are necessary to arrange the content of microblogs by grouping them for a user who wants to get the newest information. However, microblogs have word limits, and it has there is not enough information to analyze for content clustering. In this paper, we propose a semantic-based K-means clustering algorithm that not only measures the similarity between the data represented as a vector space model, but also measures the semantic similarity between the data by exploiting the TagCluster for clustering. Through the experimental results on the RepLab2013 Twitter dataset, we show the effectiveness of the semantic-based K-means clustering algorithm.

A Comparative Study on Clustering Methods for Grouping Related Tags (연관 태그의 군집화를 위한 클러스터링 기법 비교 연구)

  • Han, Seung-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.3
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    • pp.399-416
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    • 2009
  • In this study, clustering methods with related tags were discussed for improving search and exploration in the tag space. The experiments were performed on 10 Delicious tags and the strongly-related tags extracted by each 300 documents, and hierarchical and non-hierarchical clustering methods were carried out based on the tag co-occurrences. To evaluate the experimental results, cluster relevance was measured. Results showed that Ward's method with cosine coefficient, which shows good performance to term clustering, was best performed with consistent clustering tendency. Furthermore, it was analyzed that cluster membership among related tags is based on users' tagging purposes or interest and can disambiguate word sense. Therefore, tag clusters would be helpful for improving search and exploration in the tag space.

A Study on the Security Framework in IoT Services for Unmanned Aerial Vehicle Networks (군집 드론망을 통한 IoT 서비스를 위한 보안 프레임워크 연구)

  • Shin, Minjeong;Kim, Sungun
    • Journal of Korea Multimedia Society
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    • v.21 no.8
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    • pp.897-908
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    • 2018
  • In this paper, we propose a security framework for a cluster drones network using the MAVLink (Micro Air Vehicle Link) application protocol based on FANET (Flying Ad-hoc Network), which is composed of ad-hoc networks with multiple drones for IoT services such as remote sensing or disaster monitoring. Here, the drones belonging to the cluster construct a FANET network acting as WTRP (Wireless Token Ring Protocol) MAC protocol. Under this network environment, we propose an efficient algorithm applying the Lightweight Encryption Algorithm (LEA) to the CTR (Counter) operation mode of WPA2 (WiFi Protected Access 2) to encrypt the transmitted data through the MAVLink application. And we study how to apply LEA based on CBC (Cipher Block Chaining) operation mode used in WPA2 for message security tag generation. In addition, a modified Diffie-Hellman key exchange method is approached to generate a new key used for encryption and security tag generation. The proposed method and similar methods are compared and analyzed in terms of efficiency.

A Tag Clustering and Recommendation Method for Photo Categorization (사진 콘텐츠 분류를 위한 태그 클러스터링 기법 및 태그 추천)

  • Won, Ji-Hyeon;Lee, Jongwoo;Park, Heemin
    • Journal of Internet Computing and Services
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    • v.14 no.2
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    • pp.1-13
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    • 2013
  • Recent advance and popularization of smart devices and web application services based on cloud computing have made end-users to directly produce and, at the same time, consume the image contents. This leads to demands of unified contents management services. Thus, this paper proposestag clustering method based on semantic similarity for effective image categorization. We calculate the cost of semantic similarity between tags and cluster tags that are closely related. If tags are in a cluster, we suppose that images with them are also in a same cluster. Furthermore, we could recommend tags for new images on the basis of initial clusters.

A Design and Development of A Related Tag Clustering Algorithm (연관 태그의 군집 알고리즘의 설계 및 구현)

  • Park, Byoung-Jae;Woo, Chong-Woo
    • Journal of Information Technology Services
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    • v.7 no.4
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    • pp.199-208
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    • 2008
  • Tagging represents one of the Web 2.0 technology, and has an appropriate mechanism for the classification of dynamically changing Web informations. This technique is capable of searching the Web informations using the user specified tags, but still it has a limitation of providing only the limited informations to the tags. Therefore, in order to search the related informations easily, we need to extend this technique further to search not only the desired informations through the designated tags and also the related informations. In this paper, we first have designed and developed an algorithm that can get a desired tag cluster, which is capable of collecting the searched tags along with the related tags. We first performed a test to compare the difference between the user collected tag data through RSS and the reduced data. The second test focused on the accuracy of extracted related tags that depends on the similarity functions, such as the Pearson Correlation and Euclidean. Finally, we showed the final results visually using the graph algorithm.

Expression, Purification, and Characterization of Iron-Sulfur Cluster Assembly Regulator IscR from Acidithiobacillus ferrooxidans

  • Zeng, Jia;Zhang, Ke;Liu, Jianshe;Qiu, Guanzhou
    • Journal of Microbiology and Biotechnology
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    • v.18 no.10
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    • pp.1672-1677
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    • 2008
  • IscR (iron-sulfur cluster regulator) has been reported to be a repressor of the iscRSUA operon, and in vitro transcription reactions have revealed that IscR has a repressive effect on the iscR promoter in the case of [$Fe_{2}S_{2}$] cluster loading. In the present study, the iscR gene from A. ferrooxidans ATCC 23270 was cloned and successfully expressed in Escherichia coli, and then purified by one-step affinity chromatography to homogeneity. The molecular mass of the IscR was 18 kDa by SDS-PAGE. The optical and EPR spectra results for the recombinant IscR confirmed that an iron-sulfur cluster was correctly inserted into the active site of the protein. However, no [$Fe_{2}S_{2}$] cluster was assembled in apoIscR with ferrous iron and sulfide in vitro. Therefore, the [$Fe_{2}S_{2}$] cluster assembly in IscR in vivo would appear to require scaffold proteins and follow the Isc "AUS" pathway.

Post Clustering Method using Tag Hierarchy for Blog Search (블로그 검색에서의 태그 계층구조를 이용한 포스트 군집화)

  • Lee, Ki-Jun;Kim, Kyung-Min;Lee, Myung-Jin;Kim, Woo-Ju;Hong, June-S.
    • The Journal of Society for e-Business Studies
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    • v.16 no.4
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    • pp.301-319
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    • 2011
  • Blog plays an important role as new type of knowledge base distinguishing from traditional web resource. While information resources in their existing website dealt with a wide range of topics, information resources of the blog are concentrated in specific units of information depending on the user's interests and have the criteria of classification forresources published by tagging. In this research, we build a tag hierarchy utilizing title keywords and tags of the blog, and propose apost clustering methodology applying the tag hierarchy. We then generate the tag hierarchy reflected the relationship between tags and develop the tag clustering methodology according to tag similarity. In this paper, we analyze the possibility of applying the proposed methodology with real-world examples and evaluate its performances through developed prototype system.

Comparative Study of Gene Expression Profiles in Posterior Silk Glands of the Silkworm, Bombyx mori L.

  • Choi, Kwang-Ho;Goo, Tae-Won;Kang, Seok-Woo;Kang, Min-Uk;Yun, Eun-Young;Hwang, Jae-Sam
    • International Journal of Industrial Entomology and Biomaterials
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    • v.17 no.2
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    • pp.229-234
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    • 2008
  • We used serial analysis of gene expression (SAGE) approach to derive a profile of expressed genes of the posterior silk glands (PSG) and to create a reference for understanding gene cluster related to the mechanism of silk protein synthesis in the silkworm, Bombyx mori. We constructed a 3' SAGE library from the PSG of the fifth instar larvae of the silkworm. In total we obtained 2,406 SAGE tags, of which 682 were unique tags. Sorted by tag count number, 27 (4%) unique tags were significantly more abundant genes (ten or more times), whereas 445 (65%) unique tags were detected as single copies. The annotation of 682 unique SAGE tags revealed that 462 (68%) of the SAGE tag sequences represented known genes, whereas 220 (32%) of the tag sequences had no matches in SAGE map and silkworm EST databases. Of the 682 SAGE tags, the most abundant tag sequences were that of the fibroin light chain gene and the silk protein P25. In addition, we compared two relative abundance results of the SAGE and the EST approaches to verify whether their transcript quantitative aspects are significant or not. The comparative results of relative abundances of the fibroin H-, L- chain and P25 glycoprotein genes indicated that the quantitative approach based on SAGE tags is effective for quantitative cataloging and comparison of expressed genes in same organs. The SAGE tag information reported in this study would be useful for researchers in the field to analyze genes associated with silk processing mechanisms of insects.

Design and Implementation of Topic Map Generation System based Tag (태그 기반 토픽맵 생성 시스템의 설계 및 구현)

  • Lee, Si-Hwa;Lee, Man-Hyoung;Hwang, Dae-Hoon
    • Journal of Korea Multimedia Society
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    • v.13 no.5
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    • pp.730-739
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    • 2010
  • One of core technology in Web 2.0 is tagging, which is applied to multimedia data such as web document of blog, image and video etc widely. But unlike expectation that the tags will be reused in information retrieval and then maximize the retrieval efficiency, unacceptable retrieval results appear owing to toot limitation of tag. In this paper, in the base of preceding research about image retrieval through tag clustering, we design and implement a topic map generation system which is a semantic knowledge system. Finally, tag information in cluster were generated automatically with topics of topic map. The generated topics of topic map are endowed with mean relationship by use of WordNet. Also the topics are endowed with occurrence information suitable for topic pair, and then a topic map with semantic knowledge system can be generated. As the result, the topic map preposed in this paper can be used in not only user's information retrieval demand with semantic navigation but alse convenient and abundant information service.