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검색결과 139건 처리시간 0.034초

Automatic Identification and Tracking in Blood Supply Distribution Using RFID System

  • Kang, Jin-Suk;Jeon, Young-Jun;Sung, Mee-Young;Shin, Seung-Ho;Jeong, Tai-Keong T.
    • Journal of information and communication convergence engineering
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    • 제5권4호
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    • pp.389-393
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    • 2007
  • The distribution of donated blood for medical purpose is an area that presents many challenges. In order to establish a comprehensive solution, the current patterns of distribution must be reviewed and problems related to it need to be clearly understood. This paper introduces 'Radio Frequency Identification (RFID) System', as a potential solution to some of the problems which arise in the process of blood supply distribution, and a way to systematically manage the blood supply. For the various possible RFID systems, the reader and tag must be suitable for the purpose of blood distribution. A database has been designed that can recognize tags and objects in a ubiquitous RFID blood distribution system. In this paper, we design the real-time software to control the RFID reader system and transponder, using the EEPROM memory by RFID. The experimental results confirm that the transmission rate of 3.9kbps for RF is 125 KHz. The electric power usage of transponder chip is $100{\mu}W$, with the recognition distance is about 7cm range.

Taint Inference for Cross-Site Scripting in Context of URL Rewriting and HTML Sanitization

  • Pan, Jinkun;Mao, Xiaoguang;Li, Weishi
    • ETRI Journal
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    • 제38권2호
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    • pp.376-386
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    • 2016
  • Currently, web applications are gaining in prevalence. In a web application, an input may not be appropriately validated, making the web application susceptible to cross-site scripting (XSS), which poses serious security problems for Internet users and websites to whom such trusted web pages belong. A taint inference is a type of information flow analysis technique that is useful in detecting XSS on the client side. However, in existing techniques, two current practical issues have yet to be handled properly. One is URL rewriting, which transforms a standard URL into a clearer and more manageable form. Another is HTML sanitization, which filters an input against blacklists or whitelists of HTML tags or attributes. In this paper, we make an analogy between the taint inference problem and the molecule sequence alignment problem in bioinformatics, and transfer two techniques related to the latter over to the former to solve the aforementioned yet-to-be-handled-properly practical issues. In particular, in our method, URL rewriting is addressed using local sequence alignment and HTML sanitization is modeled by introducing a removal gap penalty. Empirical results demonstrate the effectiveness and efficiency of our method.

Transcriptome analysis of the short-term photosynthetic sea slug Placida dendritica

  • Han, Ji Hee;Klochkova, Tatyana A.;Han, Jong Won;Shim, Junbo;Kim, Gwang Hoon
    • ALGAE
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    • 제30권4호
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    • pp.303-312
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    • 2015
  • The intimate physical interaction between food algae and sacoglossan sea slug is a pertinent system to test the theory that “you are what you eat.” Some sacoglossan mollusks ingest and maintain chloroplasts that they acquire from the algae for photosynthesis. The basis of photosynthesis maintenance in these sea slugs was often explained by extensive horizontal gene transfer (HGT) from the food algae to the animal nucleus. Two large-scale expressed sequence tags databases of the green alga Bryopsis plumosa and sea slug Placida dendritica were established using 454 pyrosequencing. Comparison of the transcriptomes showed no possible case of putative HGT, except an actin gene from P. dendritica, designated as PdActin04, which showed 98.9% identity in DNA sequence with the complementary gene from B. plumosa, BpActin03. Highly conserved homologues of this actin gene were found from related green algae, but not in other photosynthetic sea slugs. Phylogenetic analysis showed incongruence between the gene and known organismal phylogenies of the two species. Our data suggest that HGT is not the primary reason underlying the maintenance of short-term kleptoplastidy in Placida dendritica.

Expressed Sequence Tag Analysis of Antarctic Hairgrass Deschampsia antarctica from King George Island, Antarctica

  • Lee, Hyoungseok;Cho, Hyun Hee;Kim, Il-Chan;Yim, Joung Han;Lee, Hong Kum;Lee, Yoo Kyung
    • Molecules and Cells
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    • 제25권2호
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    • pp.258-264
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    • 2008
  • Deschampsia antarctica is the only monocot that thrives in the tough conditions of the Antarctic region. It is an invaluable resource for the identification of genes associated with tolerance to various environmental pressures. In order to identify genes that are differentially regulated between greenhouse-grown and Antarctic field-grown plants, we initiated a detailed gene expression analysis. Antarctic plants were collected and greenhouse plants served as controls. Two different cDNA libraries were constructed with these plants. A total of 2,112 cDNA clones was sequenced and grouped into 1,199 unigene clusters consisting of 243 consensus and 956 singleton sequences. Using similarity searches against several public databases, we constructed a functional classification of the ESTs into categories such as genes related to responses to stimuli, as well as photosynthesis and metabolism. Real-time PCR analysis of various stress responsive genes revealed different patterns of regulation in the different environments, suggesting that these genes are involved in responses to specific environmental factors.

국가물품자산관리를 위한 RFID 식별코드체계 운용방안 (The Operational Method of the RFID Identification System for National Product Asset Management)

  • 김선호;김진용;박정재;송주형;김현민;안종환
    • 한국전자거래학회지
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    • 제12권3호
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    • pp.19-31
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    • 2007
  • 본 논문에서는 앞으로 국가의 RFID를 이용하여 물품자산을 관리할 수 있는 국가물품식별코드의 운용방안을 제시한다. 첫째, 국가에서 수행하는 물품자산관리체계의 운용체계를 제시한다. 둘째, 상품구매와 물품자산 관리간의 연계성을 고려하여 ISO/IEC 15459를 따르는 국가물품식별코드체계의 구조를 제시한다. 그리고 이 식별코드체계를 ISO/IEC 18000-6C 태그에 인코딩하는 방안을 제시한다. 셋째, 상품구매 및 물품자산관리 단계에서 국가물품식별코드를 생성 및 관리하기 위한 운용 업무 프로세스를 제시한다.

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RFID 기술을 적용한 지능형 유통매장 관리시스템 설계 및 구현 (Design and Implementation of Intelligent Management System for Retail Stores using RFID Technology)

  • 권순량;문광곤
    • 한국통신학회논문지
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    • 제36권12B호
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    • pp.1659-1669
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    • 2011
  • 본 논문은 RFID 기술 적용을 통해 유통매장을 효율적으로 관리할 수 있는 지능형 유통매장 관리시스템의 설계 및 구현 사항에 대해 논한 것이다. 구체적인 내용으로서는 시스템 개발에 요구되는 기능을 정의하고 시스템의 구조를 설계하고 서비스 제어 절차를 제시하였다. 또한, 설계된 시스템을 구현하고 구현된 시스템의 기능 및 성능을 검증하기 위해 관련 시험을 수행하였다. 그 결과 129개 항목에 걸친 기능시험을 통해 모든 가능이 정상 동작함을 확인하였고, 성능시험을 통해 RFID 미들웨어, RFID 리더기 및 태그에 대한 성능도 확인할 수 있었다.

Suppression subtractive hybridization (SSH) for isolation and characterization of genes related to testicular development in the giant tiger shrimp Penaeus monodon

  • Leelatanawit, Rungnapa;Klinbunga, Sirawut;Aoki, Takashi;Hirono, Ikuo;Valyasevi, Rudd;Menasveta, Piamsak
    • BMB Reports
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    • 제41권11호
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    • pp.796-802
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    • 2008
  • Suppression subtractive hybridization (SSH) cDNA libraries of the giant tiger shrimp, Penaeus monodon, were constructed. In total, 178 and 187 clones from the forward and reverse SSH libraries, respectively, of P. monodon were unidirectionally sequenced. From these, 37.1% and 53.5% Expressed Sequence Tags (ESTs) significantly matched known genes (E-value < 1e-04). Three isoforms of P. monodon progestin membrane receptor component 1: PM-PGMRC1-s (1980 bp), PM-PGMRC1- m (2848 bp), and PM-PGMRC1-l (2971 bp), with an identical ORF of 573 bp corresponding to a deduced polypeptide of 190 amino acids, were successfully identified by RACE-PCR. Interestingly, PMPGMRC1 showed a greater expression level in testes of juvenile than broodstock P. monodon (P < 0.05). Dopamine administration ($10^{-6}$ mol/shrimp) resulted in up-regulation of PM-PGMRC1 in testes of juveniles at 3 hrs post treatment (P < 0.05), but had no effect on PM-Dmc1 (P > 0.05).

Molecular Genetics of the Model Legume Medicago truncatula

  • Nam, Young-Woo
    • The Plant Pathology Journal
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    • 제17권2호
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    • pp.67-70
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    • 2001
  • Medicago truncatula is a diploid legume plant related to the forage crop alfalfa. Recently, it has been chosen as a model species for genomic studies due to its small genome, self-fertility, short generation time, and high transformation efficiency. M. truncatula engages in symbiosis with nitrogen-fixing soil bacterium Rhizobium meliloti. M. truncatula mutants that are defective in nodulation and developmental processes have been generated. Some of these mutants exhibited altered phenotypes in symbiotic responses such as root hair deformation, expression of nodulin genes, and calcium spiking. Thus, the genes controlling these traits are likely to encode functions that are required for Nod-factor signal transduction pathways. To facilitate genome analysis and map-based cloning of symbiotic genes, a bacterial artificial chromosome library was constructed. An efficient polymerase chain reaction-based screening of the library was devised to fasten physical mapping of specific genomic regions. As a genomics approach, comparative mapping revealed high levels of macro- and microsynteny between M. truncatula and other legume genomes. Expressed sequence tags and microarray profiles reflecting the genetic and biochemical events associated with the development and environmental interactions of M. truncatula are assembled in the databases. Together, these genomics programs will help enrich our understanding of the legume biology.

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Study on Tag, Trust and Probability Matrix Factorization Based Social Network Recommendation

  • Liu, Zhigang;Zhong, Haidong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2082-2102
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    • 2018
  • In recent years, social network related applications such as WeChat, Facebook, Twitter and so on, have attracted hundreds of millions of people to share their experience, plan or organize, and attend social events with friends. In these operations, plenty of valuable information is accumulated, which makes an innovative approach to explore users' preference and overcome challenges in traditional recommender systems. Based on the study of the existing social network recommendation methods, we find there is an abundant information that can be incorporated into probability matrix factorization (PMF) model to handle challenges such as data sparsity in many recommender systems. Therefore, the research put forward a unified social network recommendation framework that combine tags, trust between users, ratings with PMF. The uniformed method is based on three existing recommendation models (SoRecUser, SoRecItem and SoRec), and the complexity analysis indicates that our approach has good effectiveness and can be applied to large-scale datasets. Furthermore, experimental results on publicly available Last.fm dataset show that our method outperforms the existing state-of-art social network recommendation approaches, measured by MAE and MRSE in different data sparse conditions.