• Title/Summary/Keyword: Grape Database

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Data Mining and Construction of Database Concerning Effects of Vitis Genus (산머루 관련 정보수집 및 데이터베이스의 구축)

  • Kim, Min-A;Jo, Yun-Ju;Shin, Jee-Young;Shin, Min-Kyu;Bae, Hyun-Su;Hong, Moo-Chang;Kim, Yang-Seok
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.26 no.4
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    • pp.551-556
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    • 2012
  • The database for the oriental medicine had been existed in documentation in past times and it has been developed to the database type for random accesses in the information society. However, the aspects of the database are not so diversified and the database for the bio herbal material exists in widened type dictionary style. It is a situation that the database which handles the in-depth raw herbal medicines is not sufficient in its quantity and quality. Korean wild grape is a deciduous plant categorized into the Vitaceae and it was found experimentally that it has various medical effects. It is one of the medical materials with higher potentiality of academic study and commercialization recently because it has a bigger possibility to be applied into diverse industrial fields including the medical product for health, food and beauty. We constituted the cooperative system among the Muju cluster business group for Korean mountain wild grapes, Physiology Laboratory in Kyung Hee University Oriental Medicine and Medical Classics Laboratory in Kyung Hee University Oriental Medicine with a view to focusing on such potentiality and a database for Korean wild grapes was made a touchstone for establishing the in-depth database for the single bio medical materials. First of all, the literatures based on the North East Asia in ancient times had been categorized into the classical literature (Korean literature published by government organization, Korean classical literature, Chinese classical literature and classical literature fro Korean and Chinese oriental medicine) and modern literature (Modern literature for oriental medicine, modern literature for domestic and foreign herbal medicine) to cover the eastern and western research records and writings related to Korean wild grapes and the text-mining work has been performed through the cooperation system with the Medical Classics Laboratory in Kyung Hee University Oriental Medicine. First of all, the data for the experiment and theory for Korean wild grape were collected for the Medline database controlled by the Parliament Library of USA to arrange the domestic and foreign theses with topic for Korean wild grapes and the network hyperlink function and down load function were mounted for self-thesis searching function and active view based on the collected data. The thesis searching function provides various auxiliary functions and the searching is available according to the diverse searching/queries such as the name of sub species of Korean wild grape, the logical intersection index for the active ingredients, efficacy and elements. It was constituted for the researchers who design the Korean wild grape study to design of easier experiment. In addition, the data related to the patents for Korean wild grape which were collected from European Patent Office in response to the commercialization possibility and the system available for searching and view was established in the same viewpoint. Perl was used for the query programming and MS-SQL for database establishment and management in the designing of this database. Currently, the data is available for free use and the address is as follows. http://163.180.41.43:8011/index.html

Simulation of Grape Downy Mildew Development Across Geographic Areas Based on Mesoscale Weather Data Using Supercomputer

  • Kim, Kyu-Rang;Seem, Robert C.;Park, Eun-Woo;Zack, John W.;Magarey, Roger D.
    • The Plant Pathology Journal
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    • v.21 no.2
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    • pp.111-118
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    • 2005
  • Weather data for disease forecasts are usually derived from automated weather stations (AWS) that may be dispersed across a region in an irregular pattern. We have developed an alternative method to simulate local scale, high-resolution weather and plant disease in a grid pattern. The system incorporates a simplified mesoscale boundary layer model, LAWSS, for estimating local conditions such as air temperature and relative humidity. It also integrates special models for estimating of surface wetness duration and disease forecasts, such as the grapevine downy mildew forecast model, DMCast. The system can recreate weather forecasts utilizing the NCEP/NCAR reanalysis database, which contains over 57 years of archived and corrected global upper air conditions. The highest horizontal resolution of 0.150 km was achieved by running 5-step nested child grids inside coarse mother grids. Over the Finger Lakes and Chautauqua Lake regions of New York State, the system simulated three growing seasons for estimating the risk of grape downy mildew with 1 km resolution. Outputs were represented as regional maps or as site-specific graphs. The highest resolutions were achieved over North America, but the system is functional for any global location. The system is expected to be a powerful tool for site selection and reanalysis of historical plant disease epidemics.

Graph Database Design and Implementation for Ransomware Detection (랜섬웨어 탐지를 위한 그래프 데이터베이스 설계 및 구현)

  • Choi, Do-Hyeon
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.24-32
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    • 2021
  • Recently, ransomware attacks have been infected through various channels such as e-mail, phishing, and device hacking, and the extent of the damage is increasing rapidly. However, existing known malware (static/dynamic) analysis engines are very difficult to detect/block against novel ransomware that has evolved like Advanced Persistent Threat (APT) attacks. This work proposes a method for modeling ransomware malicious behavior based on graph databases and detecting novel multi-complex malicious behavior for ransomware. Studies confirm that pattern detection of ransomware is possible in novel graph database environments that differ from existing relational databases. Furthermore, we prove that the associative analysis technique of graph theory is significantly efficient for ransomware analysis performance.

Graph Database based Malware Behavior Detection Techniques (그래프 데이터베이스 기반 악성코드 행위 탐지 기법)

  • Choi, Do-Hyeon;Park, Jung-Oh
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.55-63
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    • 2021
  • Recently, the incidence rate of malicious codes is over tens of thousands of cases, and it is known that it is almost impossible to detect/respond all of them. This study proposes a method for detecting multiple behavior patterns based on a graph database as a new method for dealing with malicious codes. Traditional dynamic analysis techniques and has applied a method to design and analyze graphs of representative associations malware pattern(process, PE, registry, etc.), another new graph model. As a result of the pattern verification, it was confirmed that the behavior of the basic malicious pattern was detected and the variant attack behavior(at least 5 steps), which was difficult to analyze in the past. In addition, as a result of the performance analysis, it was confirmed that the performance was improved by about 9.84 times or more compared to the relational database for complex patterns of 5 or more steps.

Development of Agriculture-related Data Inventories Using IKONOS Images

  • Kim Seong Joon;Hong Seong Min;Lee Mi Seon;Lim Hyuk Jin
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.618-620
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    • 2004
  • This paper explores the use of IKONOS imagery of 1 m resolution panchromatic (PAN) band and 4 m resolution multi-spectral (MS) band in the development of agriculture­related data inventories. Three images (May 25, 2001, December 25, 2001, October 23, 2003) were used to obtain temporal distributions in crop cover characteristics such as rice, pear, grape, red pepper, corn, barley, garlic and surface water cover of reservoir with field investigations. The availability and cost problems are expected to solve by KOMPSAT-2 that is scheduled to launch in 2005. The capability of KOMPSAT-2 image for crop and rural water resources management will increase by accumulating temporal data inventories as a database.

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Distribution and Features of the Six Classes of Peroxiredoxins

  • Poole, Leslie B.;Nelson, Kimberly J.
    • Molecules and Cells
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    • v.39 no.1
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    • pp.53-59
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    • 2016
  • Peroxiredoxins are cysteine-dependent peroxide reductases that group into 6 different, structurally discernable classes. In 2011, our research team reported the application of a bioinformatic approach called active site profiling to extract active site-proximal sequence segments from the 29 distinct, structurally-characterized peroxiredoxins available at the time. These extracted sequences were then used to create unique profiles for the six groups which were subsequently used to search GenBank(nr), allowing identification of ~3500 peroxiredoxin sequences and their respective subgroups. Summarized in this minireview are the features and phylogenetic distributions of each of these peroxiredoxin subgroups; an example is also provided illustrating the use of the web accessible, searchable database known as PREX to identify subfamily-specific peroxiredoxin sequences for the organism Vitis vinifera (grape).

Vitamin B6 Content of Vegetables and Fruits Cultivated in Korea (국내 채소류와 과일류의 비타민 B6 함량)

  • Choi, So-Ra;Song, Young-Eun;Han, Hyun-Ah;Lee, Song-Yee;Shin, So-Hee;Park, Jin-Ju
    • The Korean Journal of Food And Nutrition
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    • v.32 no.6
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    • pp.745-752
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    • 2019
  • The purpose of this study was to determine the difference in vitamin B6 content according to the varieties, regions, and harvest times of vegetables and fruits in Korea using high performance liquid chromatography. We verified the accuracy of the analytical method with standard reference material 1849a and achieved reliability for internal analysis quality control with a mixture of cereal, whole wheat, and flour. As a result of the analysis, vitamin B6 contents (㎍/100 g) were 6.9~86.5 in peppers, 5.1~17.2 in paprika, 4.4~5.0 in strawberries, 4.0~52.9 in tomatoes, 7.7~7.8 in Chinese cabbage, 17.3~23.3 in radishes, 13.4~37.6 in apples, 2.3~12.7 in peaches, and 3.7~12.7 in grapes. In general, the difference in vitamin B6 content showed by varieties, harvest times, and regions. Peppers showed the most difference as 79.6 ㎍/100 g among the varieties, and apples showed a difference as 22.8 ㎍/100 g by regions. According to the harvest times in grape 'Mihwang', there was a difference of 7.5 ㎍/100 g. We will collect an amount of nutritional data on various food materials, and continue to build a reliable and integrated nutritional database. And then the database will be used in the 10th revision of the Korean Food Composition Table.

Construction of a Full-length cDNA Library from Korean Stewartia (Stewartia koreana Nakai) and Characterization of EST Dataset (노각나무(Stewartia koreana Nakai)의 cDNA library 제작 및 EST 분석)

  • Im, Su-Bin;Kim, Joon-Ki;Choi, Young-In;Choi, Sun-Hee;Kwon, Hye-Jin;Song, Ho-Kyung;Lim, Yong-Pyo
    • Horticultural Science & Technology
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    • v.29 no.2
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    • pp.116-122
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    • 2011
  • In this study, we report the generation and analysis of 1,392 expressed sequence tags (ESTs) from Korean Stewartia (Stewartia koreana Nakai). A cDNA library was generated from the young leaf tissue and a total of 1,392 cDNA were partially sequenced. EST and unigene sequence quality were determined by computational filtering, manual review, and BLAST analyses. Finally, 1,301 ESTs were acquired after the removal of the vector sequence and filtering over a minimum length 100 nucleotides. A total of 893 unigene, consisting of 150 contigs and 743 singletons, was identified after assembling. Also, we identified 95 new microsatellite-containing sequences from the unigenes and classified the structure according to their repeat unit. According to homology search with BLASTX against the NCBI database, 65% of ESTs were homologous with known function and 11.6% of ESTs were matched with putative or unknown function. The remaining 23.2% of ESTs showed no significant similarity to any protein sequences found in the public database. Annotation based searches against multiple databases including wine grape and populus sequences helped to identify putative functions of ESTs and unigenes. Gene ontology (GO) classification showed that the most abundant GO terms were transport, nucleotide binding, plastid, in terms biological process, molecular function and cellular component, respectively. The sequence data will be used to characterize potential roles of new genes in Stewartia and provided for the useful tools as a genetic resource.