• Title/Summary/Keyword: Data Taxonomy

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Big Data Security and Privacy: A Taxonomy with Some HPC and Blockchain Perspectives

  • Alsulbi, Khalil;Khemakhem, Maher;Basuhail, Abdullah;Eassa, Fathy;Jambi, Kamal Mansur;Almarhabi, Khalid
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.43-55
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    • 2021
  • The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges.

Application Method of Task Ontology Technology for Recommendation of Automobile Parts (자동차부품 추천을 위한 태스크 온톨로지 기술의 적용방법)

  • Kim, Gui-Jung;Han, Jung-Soo
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.275-281
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    • 2012
  • This research proposes the method to develop the recommendation system of automobile parts using task ontology technology. The proposed intelligent recommendation system is designed to learn the assembly process of automobile parts and the automobile parts are composed by ontology method for the recommendation of the parts. Using hierarchical taxonomy based on is-a relationship, the relationship between each part that makes up automotive engine was set. Each part has each different weighted value according to the knowledge of automobile experts. The weighted value is created by the number of selection that the users of the automobile recommendation system select while using the system and the final value calculated by the multiplication of the weighted value, which is recorded within the system. As a result, the users can easily identify which factor in which part is important by the output in the order of the priority. The intelligent recommendation system for automobile parts is a system to inform of the assembly, the usage and the importance of automobile parts without any specialized knowledge by expressing the parts that are closely related with the applicable parts when selecting any part on the basis of the generated data for the automobile parts that are difficult to access by users.

A Content Analysis of the test of the National Examination for Registration Nurses in Korea over 3 years (간호사 국가고시문제의 내용분석)

  • 서문자;윤순녕;유지수;송지호;최경숙
    • Journal of Korean Academy of Nursing
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    • v.26 no.1
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    • pp.73-93
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    • 1996
  • This study aimed to analyse the test contents of the national examination for the registered nurses (NERN) over 3 years from 1991 to 1993 in Korea. In recent years in Korea, the MCQ(multiple choice question) has been showing to be a highly recognized method for assessing the qualification of registered nurses. Unfortunately, nursing faculties have found NERN had some bad MCQs through having evaluation workshop for Some MCQs often provide so many unwriting clues which become a bias of the results, and some items fell into the category of the lower level of educational taxonomy such as isolated recall a fact or data. Frequently the stems of the questions are ambigous, unclear, disputable, esoterical or trivial. Considering those fallacies of the national examination, it is very critical to review the test items to see whether it is of high quality, is more fair, reliable and objective in depth. Therefore, this study was done to provide data for the improvement of the test contents as well as the teachers's assessment skill. For this study, the ad hoc committee was composed of 16 members, including 5 education board members of Korean Academic Nurses Association and 11 nursing faculty members. This committee had one day panel discussion and filled the checklist for this study. The process of analysing data was held over 10 times during 1992-1994. The analysis focussed on educational taxonomy such as cognitive domain(knowledge), psychmotor domain (skill), affective domain(attitude) and the level of learning such as recall, understanding, problems solving, and learning area of theory and practice, and the learning content categorised by nursing process and disease process. The test analysed using difficulty index and the structure of the test items was analysed. The conclusions and suggestion as follows : 1. In learning area, the average ratio of the theory and practice was 1 : 1.1 which was less than 1 : 2 suggested by Korean National Health Institute, and the ratio was different by the 8 leaning subjects of nursing. 2. In category of the educational taxonomy, the knowledge domain was emphasized mostly(79. 7%), the skill domain was 14.9%, and the attitude domain was 5.4% only. 3. In the level of learning, generally, the test items of the level of recall(45.5%) and the understanding(46.3%) were covered almost and the problem solving was 8.1%. 4. In the learning contents, generally, the test items related to nursing process was 67.2% and that of disease process was 32.8%. However, this proportion was different by the 8 leaning subjects. Even though the nursing diagnosis has been emphasized in nursing curricula recently, the test items of this was identified very few. 5. In the structure of the test item, some were not clear, incorrect grammar, unclear description and some have clues to answer. 6. In the item analysis, the non-acceptable level of the difficulty index (means too easy) was 65.7%, and the acceptable level was 33.9%. Considering the results we would like to suggest the followings, 1. Since the test items of knowledge domain was dominant, the test items of the practice domain and attitude domain should be emphasized more. 2. The regular review and analysis of NERN should be arranged in order to improve the quality of the test items which will give influence to the nursing education positively.

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Taxonomy of the genus Scrophularia (Scrophulariaceae) in Korea (한국산 현삼속(현삼과)의 분류학적 연구)

  • Han, Kyeongsuk;So, Soonku;Lee, Chung-Hee;Kim, Muyeol
    • Korean Journal of Plant Taxonomy
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    • v.39 no.4
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    • pp.237-246
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    • 2009
  • Inter-specific relationships among six species and two varieties, belonging to Scrophularia (Scrophulariaceae), in Korea were re-examined based on both morphological and molecular data. Scrophularia takesimensis, a Korean endemic species, should be separated from S. grayana as an independent species based upon unique morphological characters such as non-winged stems, thickened leaves and glabrous surfaces of leaves, even though they share a lot of other features. It was found that S. grayana is distributed in Sokcho in Korea and along the coast of the East Sea north to far eastern Russia. Although some morphologies of three taxa, S. cephalantha, S. koraiensis var. velutina and S. kakudensis var. microphylla appeared to differ from each other, their ITS DNA sequence data was similar to that of S. kakudensis, suggesting that they might better be designated with the later species. The taxonomic position of S. koraiensis, only found in Korea, has been ambiguous, but ITS DNA sequence data in this study revealed that this species is distinct from S. kakudensis. Consequently, we conclude that the genus Scrophularia in Korea includes five species.

The Current Status of Korean Lizards (Reptilia: Squamata) (한국산 도마뱀류의 현황)

  • Chang Min-Ho;Song Jae-Young;Lee Jong-Nam;Oh Hong-Shik
    • Korean Journal of Environment and Ecology
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    • v.20 no.3
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    • pp.352-358
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    • 2006
  • We reconsidered the taxonomy of lizards in Korea on the basis of morphological characters of collected specimens and previously published data. A total of 138 specimens were used in this study, which were collected from April 1996 to October 2005, From the observations, we presented keys to classify Korean lizards. Also, we indicated sampling sites for each species on the Korean map. In addition, we added some remarks on the distribution of Gekko japonicus, the study of genus Scincella and the synonym of genus Takydromus. Especially, it was uncertain whether the southern Korean Peninsula is a natural habitat of Takydromus tachydromoides oldi which will be necessary in further study.

A Study on the Decision and Selection of the Star Contents in the Convergence Era (융합시대의 스타콘텐츠 발굴 및 선정에 관한 연구)

  • Rim, Myung-Hwan;Park, Yong-Jae;Heo, Pil-Sun
    • Journal of Information Technology Applications and Management
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    • v.18 no.2
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    • pp.1-21
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    • 2011
  • In this era of convergence, which is characterized by the integration and combination of technology and industries, broadcasting and communications, offline and online, and devices and services, the content industry is also experiencing rapid changes including inter-genre exchange, the creation of new industries, and customized demand. Specifically, IT-based digital content industries such as the online game, e-book, mobile contents and web portal industries are no longer restricted to the boundaries of video, music and games but are being expanded into the realms of education, medicine, fashion and sports thanks to CT innovation of 3D, CG, AR/VR, VFX, etc. As such, various countries have come to recognize the convergent content industry as a new growth engine that will pick up where the IT industry left off, and are forming policies for its development accordingly. This research aims to optimize the system of content taxonomy which is currently genre-focused and unable to support technological development and convergence, and to discover and select star contents to be rigorously developed with governmental support. In this paper, 20 star contents in 8 areas were selected, and these are expected to create tremendous cultural and economic value through ongoing technological and industrial development.

Phylogenetic Relationships of Soranthera ulvoidea (Chordariaceae, Phaeophyceae) on the Basis of Morphology and Molecular Data

  • Cho, Ga-Youn;Kim, Myung-Sook;Boo, Sung-Min
    • ALGAE
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    • v.20 no.2
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    • pp.91-97
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    • 2005
  • The brown algal family Chordariaceae sensu lato is a focus of taxonomy because recent studies suggest a broad concept of the family, including genera formerly classified in the Dictyosiphonales. Using morphology, plastid rbcL and nrDNA ITS sequences, we evaluated relationships of the monotyic genus Soranthera (S. ulvoidea), which has been classified in the Punctariaceae. The species occurs in Bering Sea and Aleutian Islands, Alaska to Baja California. Thalli are globose to lobed, hollow, 3-5 cm in diameter, and covered with evenly distributed sori. However, two forms within the species are recognized: f. ulvoidea for globose forms and f. difformis for lobed forms. Plastid rbcL and nuclear ITS region sequences were newly determined in samples of S. ulvoidea from the Pacific coast of the North America. We found little variations in the ITS sequences among samples of S. ulvoidea from five different locations and in the rbcL region from two different locations. These results do not support previous classification of f. ulvoidea and f. difformis within the species. All analyses of our rbcL sequence dataset show that Soranthera was placed in the Chordariaceae s.l., but more related to Botrytella than Punctaria and Asperococcus.

A Model-Based Method for Information Alignment: A Case Study on Educational Standards

  • Choi, Namyoun;Song, Il-Yeol;Zhu, Yongjun
    • Journal of Computing Science and Engineering
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    • v.10 no.3
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    • pp.85-94
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    • 2016
  • We propose a model-based method for information alignment using educational standards as a case study. Discrepancies and inconsistencies in educational standards across different states/cities hinder the retrieval and sharing of educational resources. Unlike existing educational standards alignment systems that only give binary judgments (either "aligned" or "not-aligned"), our proposed system classifies each pair of educational standard statements in one of seven levels of alignments: Strongly Fully-aligned, Weakly Fully-aligned, Partially-$aligned^{***}$, Partially-$aligned^{**}$, Partially-$aligned^*$, Poorly-aligned, and Not-aligned. Such a 7-level categorization extends the notion of binary alignment and provides a finer-grained system for comparing educational standards that can broaden categories of resource discovery and retrieval. This study continues our previous use of mathematics education as a domain, because of its generally unambiguous concepts. We adopt a materialization pattern (MP) model developed in our earlier work to represent each standard statement as a verb-phrase graph and a noun-phrase graph; we align a pair of statements using graph matching based on Bloom's Taxonomy, WordNet, and taxonomy of mathematics concepts. Our experiments on data sets of mathematics educational standards show that our proposed system can provide alignment results with a high degree of agreement with domain expert's judgments.

Taxonomy Framework for Metric-based Software Quality Prediction Models (소프트웨어 품질 예측 모델을 위한 분류 프레임워크)

  • Hong, Euy-Seok
    • The Journal of the Korea Contents Association
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    • v.10 no.6
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    • pp.134-143
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    • 2010
  • This paper proposes a framework for classifying metric-based software quality prediction models, especially case of software criticality, into four types. Models are classified along two vectors: input metric forms and the necessity of past project data. Each type has its own characteristics and its strength and weakness are compared with those of other types using newly defined criteria. Through this qualitative evaluation each organization can choose a proper model to suit its environment. My earlier studies of criticality prediction model implemented specific models in each type and evaluated their prediction performances. In this paper I analyze the experimental results and show that the characteristics of a model type is the another key of successful model selection.

DEEP-South: Taxonomic Classification of Asteroids Based on Johnson-Cousins Photometric System

  • Roh, Dong-Goo;Moon, Hong-Kyu;Kim, Myung-Jin;Park, Jintae;Choi, Young-Jun;Yim, Hong-Suh;Lee, Hee-Jae;Oh, Young-Suk
    • The Bulletin of The Korean Astronomical Society
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    • v.41 no.1
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    • pp.56.1-56.1
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    • 2016
  • Surface mineralogy of asteroids are inferred from photometric and spectroscopic observations with the wide range of wavelengths spanning from far-ultraviolet to mid-infrared. We classify mineralogy of those objects based on their spectral absorption features and spectral slopes. Based on overall spectral shapes, mineralogical classes are divided into three broad complexes; silicates (S), carbonaceous (C) and Vestoids (V), and the end-members that do not fit within the S, C and V broad-complexes. Each of them is subdivided into individual classes. Spectral classification of asteroidal objects has been simply represented by a combination of photometric colors. For a decade, photometric data of asteroids have been grouped and classified according to their SDSS colors converted from the spectral taxonomy. However, systematic studies for asteroid taxonomy based on Johnson-Cousins filters is few, and were conducted only with a small number of objects. In this paper, we present our preliminary results for taxonomic classification of Main Belt asteroids based on KMTNet Johnson-Cousins photometric color system.

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