• Title/Summary/Keyword: SPAM

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Emission characteristics of odor from salted food materials using Spam (염처리 음식물의 냄새성분 배출특성에 대한 연구: 스팸을 중심으로)

  • Lee, Min-Hee;Kim, Ki-Hyun;Kim, Yong-Hyun;Jo, Sang-Hee
    • Analytical Science and Technology
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    • v.25 no.6
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    • pp.447-459
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    • 2012
  • In this study, the emission characteristics of volatile and odorant species released from salted meat product (Spam) was investigated as a function of time. Gas samples released from Spam samples were analyzed for volatile organic compounds (VOC) and sulfur compounds (RSC) at five different times for the elapsed (E) days of 0, 1, 3, 6, and 9 (E-0 to E-9) by GC/MS and GC/PFPD system, respectively. Results indicated that reduced sulfur, aldehyde, and ketone groups were the dominant odorants. Especially, hydrogen sulfide was the predominant in concentration and odor activity value (OAV) during the fresh stage. Its concentration was 1465 ${\mu}g/m^3$ (60.0% of the total mass) in E-0 and 455 ${\mu}g/m^3$ (28.0%) in E-1, while its OAV was 19.4 (78.3%: E-0) and 6.02 (41.7%: E-1). On the other hand, the concentration of acetone showed the maximum values in the decaying stage (E-3: 451 (43.2%), E-6: 369 (64.2%), and E-9: 1150 ${\mu}g/m^3$ (70.2%)). Furthermore, the concentration of 2,3-butanedione was also detected considerably from decaying sample (E-3: 17.6 (1.68%), E-6: 16.1 (2.80%), and E-9: 179 ${\mu}g/m^3$ (10.9%)). However, OAV of acetone was insignificant (<0.01%) in the decaying stage, while that of 2,3-butanedione was relatively high in the range of 1.14-11.6 (14.5-76.2% of ${\Sigma}OAV$). It thus confirmed that the major odorant groups generated from Spam samples changed with the progress of decay such as sulfur (fresh stage), aldehyde (intermediate stage), and ketone compounds (decaying stage).

Probabilistic Anatomical Labeling of Brain Structures Using Statistical Probabilistic Anatomical Maps (확률 뇌 지도를 이용한 뇌 영역의 위치 정보 추출)

  • Kim, Jin-Su;Lee, Dong-Soo;Lee, Byung-Il;Lee, Jae-Sung;Shin, Hee-Won;Chung, June-Key;Lee, Myung-Chul
    • The Korean Journal of Nuclear Medicine
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    • v.36 no.6
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    • pp.317-324
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    • 2002
  • Purpose: The use of statistical parametric mapping (SPM) program has increased for the analysis of brain PET and SPECT images. Montreal Neurological Institute (MNI) coordinate is used in SPM program as a standard anatomical framework. While the most researchers look up Talairach atlas to report the localization of the activations detected in SPM program, there is significant disparity between MNI templates and Talairach atlas. That disparity between Talairach and MNI coordinates makes the interpretation of SPM result time consuming, subjective and inaccurate. The purpose of this study was to develop a program to provide objective anatomical information of each x-y-z position in ICBM coordinate. Materials and Methods: Program was designed to provide the anatomical information for the given x-y-z position in MNI coordinate based on the Statistical Probabilistic Anatomical Map (SPAM) images of ICBM. When x-y-z position was given to the program, names of the anatomical structures with non-zero probability and the probabilities that the given position belongs to the structures were tabulated. The program was coded using IDL and JAVA language for 4he easy transplantation to any operating system or platform. Utility of this program was shown by comparing the results of this program to those of SPM program. Preliminary validation study was peformed by applying this program to the analysis of PET brain activation study of human memory in which the anatomical information on the activated areas are previously known. Results: Real time retrieval of probabilistic information with 1 mm spatial resolution was archived using the programs. Validation study showed the relevance of this program: probability that the activated area for memory belonged to hippocampal formation was more than 80%. Conclusion: These programs will be useful for the result interpretation of the image analysis peformed on MNI coordinate, as done in SPM program.

Characterization of Recombinant Bovine Sperm Hyaluronidase and Identification of an Important Asn-X-Ser/Thr Motif for Its Activity

  • Park, Chaeri;Kim, Young-Hyun;Lee, Sang-Rae;Park, Soojin;Jung, Yena;Lee, Youngjeon;Kim, Ji-Su;Eom, Taekil;Kim, Ju-Sung;Lee, Dong-Mok;Song, Bong-Suk;Sim, Bo-Woong;Kim, Sun-Uk;Chang, Kyu-Tae;Kim, Ekyune
    • Journal of Microbiology and Biotechnology
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    • v.28 no.9
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    • pp.1547-1553
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    • 2018
  • Hyaluronidases are a family of enzymes that catalyse the breakdown of hyaluronic acid, which is abundant in the extracellular matrix and cumulus oocyte complex. To investigate the activity of recombinant bovine sperm hyaluronidase 1 (SPAM1) and determine the effect of the Asn-X-Ser/Thr motif on its activity, the bovine SPAM1 open reading frame was cloned into the mammalian expression vector pCXN2 and then transfected to the HEK293 cell line. Expression of recombinant bovine hyaluronidase was estimated using a hyaluronidase activity assay with gel electrophoresis. Recombinant hyaluronidase could resolve highly polymeric hyaluronic acid and also caused dispersal of the cumulus cell layer. Comparative analysis with respect to enzyme activity was carried out for the glycosylated and deglycosylated bovine sperm hyaluronidase by N-glycosidase F treatment. Finally, mutagenesis analysis revealed that among the five potential N-linked glycosylation sites, only three contributed to significant inhibition of hyaluronic activity. Recombinant bovine SPAM1 has hyaluronan degradation and cumulus oocyte complex dispersion ability, and the N-linked oligosaccharides are important for enzyme activity, providing a foundation for the commercialization of hyaluronidase.

An Approach for Detecting Spam Mail using Support Vector Machine (Support Vector Machine을 사용한 스팸메일 탐지 방안)

  • 서정우;손태식;서정택;문종섭
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10a
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    • pp.817-819
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    • 2003
  • 인터넷 환경의 급속한 발전으로 인하여 전자우편을 통한 메시지 교환은 급속히 증가하고 있다. 하지만 전자우편의 편리성에도 불구하고 개인이나 기업에서는 스팸메일로 인한 시간과 비용의 낭비가 크게 증가하고 있다. 기존의 스팸메일에 대한 연구는 패턴 매칭에 의한 분류나 확률에 의한 분류가 대부분인데 이와 같은 방법들은 변형된 형태의 메일에 대한 탐지에 있어서 비효율적이다. 본 논문에서는 기존의 연구에 대한 문제점을 보완하기 위하여 패턴 분류문제에 있어서 우수한 성능을 보이는 SVM을 이용하여 정상적인 메일과 스팸메일을 구분하는 방안에 대하여 제시한다.

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Actual Condition and Issues for Mobile Security System

  • Sakurai, Kouichi;Fukushima, Kazuhide
    • Journal of Information Processing Systems
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    • v.3 no.2
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    • pp.54-63
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    • 2007
  • The high-speed mobile Internet has recently been expanded, many attractive services are provided. However, these services require some form of security-related technology. This paper outlines Japanese mobile services and exposits some mobile security topics including mobile spam, mobile malware, mobile DRM system, mobile WiMAX security, and mobile key management.

A Novel Statistical Feature Selection Approach for Text Categorization

  • Fattah, Mohamed Abdel
    • Journal of Information Processing Systems
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    • v.13 no.5
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    • pp.1397-1409
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    • 2017
  • For text categorization task, distinctive text features selection is important due to feature space high dimensionality. It is important to decrease the feature space dimension to decrease processing time and increase accuracy. In the current study, for text categorization task, we introduce a novel statistical feature selection approach. This approach measures the term distribution in all collection documents, the term distribution in a certain category and the term distribution in a certain class relative to other classes. The proposed method results show its superiority over the traditional feature selection methods.

A Spam Message Filter System for Mobile Environment (휴대폰의 스팸문자메시지 판별 시스템)

  • Lee, Songwook
    • Annual Conference on Human and Language Technology
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    • 2010.10a
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    • pp.194-196
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    • 2010
  • 휴대폰의 광범위한 보급으로 문자메시지의 사용이 급증하고 있다. 이와 동시에 사용자가 원하지 않는 광고성 스팸문자도 넘쳐나고 있다. 본 연구는 이러한 스팸문자메시지를 자동으로 판별하는 시스템을 개발하는 것이다. 우리는 기계학습방법인 지지벡터기계(Support Vector Machine)을 사용하여 시스템을 학습하였으며 자질의 선택은 카이제곱 통계량을 이용하였다. 실험결과 F1 척도로 약 95.5%의 정확률을 얻었다

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Checking Spam Mail Filter Need for Each User Group from Computing Distribution of User Email Responses (사용자 이메일 반응 분포 계산과 사용자 그룹 스팸 메일 필터 필요성 점검)

  • Kim, Jongwan;Kim, In-Gil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.47-49
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    • 2009
  • 본 연구에서는 이메일 사용자별로 제공받은 사용자 선호 정보 대상으로 EM 클러스터링을 수행하여 사용자 클러스터를 만든 후, 사용자 클러스터들의 이메일 반응 분포를 계산함으로써 사용자 취향에 따라 동일한 이메일에 대해서도 서로 다른 반응을 가질 수 있다는 사실을 확인하려고 한다. 그 결과로부터 현재의 내용기반 방식과는 다르게 사용자 선호도를 고려한 스팸 메일 필터 구축 방법을 제안한다.