• Mass Spectrometry Letters
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• v.8 no.4
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• pp.105-108
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• 2017

Recently, deciduous teeth have been proposed as a promising biomatrix for estimating internal and external chemical exposures of an individual from prenatal periods to early childhood. Therefore, detection of organic chemicals in teeth has received increasing attention. Organic materials in tooth matrix are mostly collagen type proteins, but lipids and other small organic chemicals are also present in the tooth matrix. In this study, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) was employed to obtain lipid fingerprints from deciduous teeth. Phospholipids and triacylglcerols (TAGs) from deciduous teeth were successfully detected by MALDI MS with 2,5-dihydroxybenzoic acid (DHB) or gold nanoparticle (AuNP) as a matrix.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.8
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• pp.89-95
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• 2009

In this paper, a navigation algorithm is proposed using RFID tags in indoor environments. Firstly, a stochastic sensor model of RFID is derived and the design factors including the maximum identifiable distance, the identification direction and the read success rate are obtained through experiments. The obstacle avoidance algorithm is developed with consideration of those factors for a variety of RFID antenna configurations and different indoor environments. The algorithm is tested by computer simulations and implemented on a mobile robot.

• 한국약용작물학회:학술대회논문집
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• 2011.04a
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• pp.224-225
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• 2011

• BMB Reports
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• v.41 no.3
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• pp.194-203
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• 2008

Nitrosative modifications regulate cellular signal transduction and pathogenesis of inflammatory responses and neuro-degenerative diseases. Protein tyrosine nitration is a biomarker of oxidative stress and also influences protein structure and function. Recent advances in mass spectrometry have made it possible to identify modified proteins and specific modified amino acid residues. For analysis of nitrated peptides with low yields or only a subset of peptides, affinity 'tags' can be bait for 'fishing out' target analytes from complex mixtures. These tagged peptides are then extracted to a solid phase, followed by mass analysis. In this review, we focus on protein tyrosine modifications caused by nitrosative stresses and proteomic methods for selective enrichment and identification of nitrosative protein modifications.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.267-272
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• 2009

웹 2.0 이라 불리는 현 웹의 패러다임은 개방, 공유, 참여로 압축하여 말할 수 있다. 이 속에서는 사용자의 참여와 공유로 콘텐츠가 생산 또는 재생산된다. 이러한 콘텐츠는 사용자의 관심을 반영하기 때문에 사용자가 어떠한 콘텐츠를 만들어 냈는지, 수집했는지 등을 분석하면 사용자의 관심 범주를 추출할 수 있다. 본 논문에서는 사용자가 소셜 북마킹 서비스를 이용하며 생성한 태그를 바탕으로 사용자의 관심 범주를 추출하여 이를 통해 개인화 콘텐츠 제공 서비스를 제안한다. 우선, 웹 서비스에서 제공하는 피드를 이용하여 사용자가 생성한 태그 중 가장 많이 쓰인 10개의 태그와 그것들과 관련 있는 태그들만 모아서 관심 범주을 추출하기 위한 태그 집합을 구성한다. 구성된 태그 집합을 바탕으로 피어슨 상관 계수를 통해 태그 간 동시 사용률을 조사한다. 이후 사용자 흥미에 부합하는 콘텐츠를 검색하기 위해 조사된 동시 사용률을 바탕으로 검색 키워드 그룹을 추출한다. 이렇게 만들어진 키워드 그룹들은 사용자의 평소 관심사와 관련된 콘텐츠를 검색하는데 사용되며, 이를 통해 사용자의 관심 있는 내용의 콘텐츠를 사용자의 특별한 검색 절차 없이 제공받는다. 이러한 방식을 통해 사용자가 원하는 정보를 입력하는 절차 없이도 웹에 축적된 사용자의 정보를 사용하여 자동으로 개인화된 콘텐츠를 제공할 수 있을 것으로 기대 된다.

• IE interfaces
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• v.20 no.3
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• pp.298-308
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• 2007

Radio Frequency Identification (RFID) is one of Identification Technologies today. Many of the large retailers in the United States and Europe have established requirements for their suppliers to use RFID technology in 2004. Recently Airbus and Boeing have announced plans to develop a single RFID specification to be used by both companies to use RFID tags to identify commercial aircraft parts. However, it does not mean the end of barcode and it may take several years before the wide adoption of the RFID. This is because a precise business process reengineering is required with technology itself to get the potential benefits of RFID. In this paper, we introduce an RFID enabled air baggage handling process which has been developed and tested recently. We believe our study would give a good guideline for further researches on RFID application in the aviation industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1307-1312
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• 2011

Radio Frequency Identification(RFID) has been considered as an key infrastructure for the ubiquitous society. However, due to the inherent drawbacks, RFID causes var- ious security threats like privacy problems, tag cloning, etc. This paper proposes a novel practical approach, which are fully conformed to EPCglobal RFID Gen2 standard, for enhancing security of currently used RFID Gen2 tags against the various security threats.

• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.45-50
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• 2010

EPCglobal Class-1 Gen-2 standard proposed Q-algorithm to select a frame size for the next query round. Q-algorithm calculates the frame size without estimating the number of tags. Therefore, the Q-algorithm has advantage that the reader's algorithm is simpler than other algorithms. However, it is impossible to allocate the optimized frame size. Also. the conventional Q-algorithm does not define an optimized parameter value C for adjusting the frame size. In this paper, we propose a modified Q-algorithm with the tag number estimation scheme, and evaluate the performance with computer simulations.

• The KIPS Transactions:PartA
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• v.15A no.3
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• pp.155-160
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• 2008

RFID technology has been gradually expanding its application. One of the important performance issues in RFID systems is to resolve the collision among multi-tags identification on restricted area. We consider a new anti-collision scheme based on Class Identification algorithm using Depth-First scheme. We evaluate how much performance can be improved by Class identification algorithm in the cases of Query-tree more then 17% identification rate and 150% performance.

• Management Science and Financial Engineering
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• v.16 no.2
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• pp.29-38
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• 2010

As the Internet is more embedded in people's lives, Internet users draw on new Internet applications to express themselves through "user-created content (UCC)." In addition, there is a noticeable shift from text-centered contents mainly posted on bulletin boards to multimedia contents such as images and videos on UCC web sites. The changes require different way of recommendations comparing to traditional products or contents recommendation on the Internet. This paper aims to design UCC recommendation methods with user behavior data and contents metadata such as tags and titles, and compare performances of the suggested methods. Real web logs data of a major Korean video UCC site was used to empirical experiments. The results of the experiments show that collaborative filtering technique based on similarity of UCC customers' preferences performs better than other content-based recommendation methods based on tag information and content metadata.