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A MATHEMATICAL MODEL FOR HISTORY-BASED ACCESS CONTROL

  • Kim, Hee-Young
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.8 no.1
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    • pp.11-30
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    • 2004
  • Access Control is one of essential branches to provide system's security. Depending on what standards we apply, in general, there are Role-based access control, History-based access control. The first is based on subject's role, The later is based on subject's history. In fact, RBAC has been implemented, we are using it by purchasing some orders through the internet. But, HBAC is so complex that there will occur some errors on the system. This is more and more when HBAC is used with other access controls. So HBAC's formalization and model which are general enough to encompass a range of policies in using more than one access control model within a given system are important. To simplify these, we design the mathematical model called non-access structure. This Non-access structure contains to historical access list. If it is given subjects and objects, we look into subject grouping and object relation, and then we design Non-access structure. Then we can determine the permission based on history without conflict.

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A Studies on the Chemical Composition of Apricot Seed (살구씨의 화학적 조성에 관한 연구)

  • 이성민;임효진
    • The Korean Journal of Food And Nutrition
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    • v.5 no.1
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    • pp.1-6
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    • 1992
  • For the effective utilization of apricot seed resources of food protein and lipid, the general composition, amino acid composition and chemical characteristics were analysed. The skinned and non-skinned apricot seed contained 53.9% and 48.0% of crude lipid, 24.7% and 26.8% of crude protein, respectively. There were no significant difference in the amino acid composition among skinned and non-skinned apricot seed, The major amino acids were glutamic acid, aspartic acid, alanine, tyrosine and threonine, holding 14.6 to 16.9%, 12.4 to 13.7%, 9.2 to 12.1%, 7.2 to 7.5% and 7.0 to 7.2% of total amino acid content, respectively. The sum of these ammo acids occupied about 50% to total amino acids. While the quantities of methionine, histidine, and Lysine were poor content. The essential amino acids occupied about 30% to total amino acids. The acid, iodine and saponification value of apricot seed oil were 0.7 to 7.1, 80.8 to 107.5 and 182.7 to 208.4, respectively. These values were significant difference in skinned and non-skinned apricot seed.

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Imaging characteristics of diffuse large cell extra nodal non-Hodgkin's lymphoma involving the palate and maxillary sinus: a case report

  • Nadendla, Lakshmi Kavitha;Meduri, Venkateswarlu;Paramkusam, Geetha
    • Imaging Science in Dentistry
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    • v.42 no.2
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    • pp.111-114
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    • 2012
  • Non-Hodgkin's lymphomas are a group of highly diverse malignancies and have a strong tendency to affect organs and tissues that do not ordinarily contain lymphoid cells. Primary extra nodal lymphoma of the hard palate is rare. Here, we present a case of diffuse large B cell lymphoma in a 60-year-old male patient that manifested as slightly painful ulcerated growth on the edentulous right maxillary alveolar ridge extending onto the palate, closely resembling carcinoma of the alveolar ridge. Computed tomography images showed the involvement of the maxillary sinus and right nasal cavity, along with destruction of hard palate, superiorly extending into the orbit. This case report highlights the importance of imaging to evaluate the exact extent of such large malignant lesions, which is essential for treatment planning.

Rational Theories of Discrimination and the Implications for Employment Relations and Transactions (합리적 차별이론과 고용관계 및 거래 관계에 대한 영향)

  • 이세재
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.69
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    • pp.36-49
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    • 2001
  • Group level discriminations are observed in employment relations and other transactions in the form of residential occupational and production segregation and differential treatments. Recent developments in the rational theories of discrimination both on the market level and the non-market level are reviewed in terms of their relative strengths, weaknesses and complementarities. Taste discrimination could remain much suppressed in the market but could effect much chain reaction through various ways of statistical discrimination, price discrimination, human capital investment and segregation. Taste discrimination could also take the more structured form of co-workers' requiring compensation for reduced productivity due to increasing interactions with members of different language and culture in a non-segregative system. If could also be viewed in the framework of brand learning models. Non-market models of discrimination are seen to be an essential part to explain extended modes of discrimination.

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Rare Odontalgia of Mandibular Teeth Associated with Migraine: A Case Report

  • Im, Yeong-Gwan;Kang, Jin-Kyu
    • Journal of Oral Medicine and Pain
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    • v.43 no.3
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    • pp.92-96
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    • 2018
  • A 39-year-old male presented with severe pain in right posterior mandibular teeth and temporal area. Initially, the pain in the mandibular teeth was moderate, but the concomitant headache was unbearably severe. His medical history was non-contributory. The clinical and radiographic examination failed to reveal any pathology in the region. There was no tenderness to palpation in the temporalis and masseter muscles or temporomandibular joints. The clinical impression was migraine. The pain in the teeth and headache were aborted using ergotamine tartrate and sumatriptan succinate. Atenolol prevented further pain, while amitriptyline and imipramine had no effect. Migraine can present as non-odontogenic pain in the mandibular teeth, although not as frequently as in the maxillary teeth. A correct diagnosis is essential to avoid unnecessary dental treatments and to manage pain effectively. Clinicians should be able to identify migraine with non-odontogenic dental pain and establish a proper diagnosis through a comprehensive evaluation.

Biopsy and Mutation Detection Strategies in Non-Small Cell Lung Cancer

  • Jung, Chi Young
    • Tuberculosis and Respiratory Diseases
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    • v.75 no.5
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    • pp.181-187
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    • 2013
  • The emergence of new therapeutic agents for non-small cell lung cancer (NSCLC) implies that histologic subtyping and molecular predictive testing are now essential for therapeutic decisions. Histologic subtype predicts the efficacy and toxicity of some treatment agents, as do genetic alterations, which can be important predictive factors in treatment selection. Molecular markers, such as epidermal growth factor receptor (EGFR) mutation and anaplastic lymphoma kinase (ALK) rearrangement, are the best predictors of response to specific tyrosine kinase inhibitor treatment agents. As the majority of patients with NSCLC present with unresectable disease, it is therefore crucial to optimize the use of tissue samples for diagnostic and predictive examinations, particularly for small biopsy and cytology specimens. Therefore, each institution needs to develop a diagnostic approach requiring close communication between the pulmonologist, radiologist, pathologist, and oncologist in order to preserve sufficient biopsy materials for molecular analysis as well as to ensure rapid diagnosis. Currently, personalized medicine in NSCLC is based on the histologic subtype and molecular status. This review summarizes strategies for tissue acquisition, histologic subtyping and molecular analysis for predictive testing in NSCLC.

Development of an Optimum Void Detection Chart using Heat Transfer Simulation (열전달 시뮬레이션을 통한 최적공극탐지 차트개발)

  • Choi, Hyun-Ho;Park, Jin-Hyung;Ji, Goang-Seup
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.11a
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    • pp.241-244
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    • 2006
  • It is essential to develop a large capacity, non-contact nondestructive inspection system having high reliability to investigate repaired and strengthened structures. Nowadays, an infrared camera is widely used in non-contact nondestructive inspection system. Because an infrared camera is sensitive to the surrounding environment, it is necessary to improve a sensitivity of thermal image information and a relationship between defects and thermal image information. In this papaer, presented is an optimum void detection chart for the optimum conditions to detect infrared rays from inside and outside defects like voids and cracks in concrete structures using extensive computer simulation. Sensitivity studies are performed with respect to variables influencing the temperature distribution such as heating temperature, heating time, and geometries of defect, etc. It may be stated that it could be successfully utilized for the non-contact nondestructive inspection system to detect defects in concrete structures.

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The Role of PET in Staging Non-Small Cell Lung Cancer (비소세포 폐암의 병기 결정에서 F-18 FDG PET의 역할)

  • Hyun, In-Young
    • The Korean Journal of Nuclear Medicine
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    • v.38 no.6
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    • pp.481-485
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    • 2004
  • Lung cancer has become a leading cause of cancer death in Korea. Accurate staging of non-small cell lung cancer (NSCLC) is essential to the ability to offer a patient the most effective available treatment and the best estimate of prognosis. PET with F-18 fluorodeoxyglucose (FDG) is indicated for the nodal staging of NSCLC and detection of distant metastases. Use of PET for mediastinal staging should not be relied on as a sole staging modality, and positive findings should be confirmed by mediastinoscopy. FDG PET avoids futile surgery by a more accurate selection of patients, especially by the detection of unexpected distant metastases.

Local-Based Iterative Histogram Matching for Relative Radiometric Normalization

  • Seo, Dae Kyo;Eo, Yang Dam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.5
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    • pp.323-330
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    • 2019
  • Radiometric normalization with multi-temporal satellite images is essential for time series analysis and change detection. Generally, relative radiometric normalization, which is an image-based method, is performed, and histogram matching is a representative method for normalizing the non-linear properties. However, since it utilizes global statistical information only, local information is not considered at all. Thus, this paper proposes a histogram matching method considering local information. The proposed method divides histograms based on density, mean, and standard deviation of image intensities, and performs histogram matching locally on the sub-histogram. The matched histogram is then further partitioned and this process is performed again, iteratively, controlled with the wasserstein distance. Finally, the proposed method is compared to global histogram matching. The experimental results show that the proposed method is visually and quantitatively superior to the conventional method, which indicates the applicability of the proposed method to the radiometric normalization of multi-temporal images with non-linear properties.

A Study on Coding Education for Non-Computer Majors Using Programming Error List

  • Jung, Hye-Wuk
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.203-209
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    • 2021
  • When carrying out computer programming, the process of checking and correcting errors in the source code is essential work for the completion of the program. Non-computer majors who are learning programming for the first time receive feedback from instructors to correct errors that occur when writing the source code. However, in a learning environment where the time for the learner to practice alone is long, such as an online learning environment, the learner starts to feel many difficulties in solving program errors by himself/herself. Therefore, training on how to check and correct errors after writing the program source code is necessary. In this paper, various types of errors that can occur in a Python program were described, the errors were classified into simple errors and complex errors according to the characteristics of the errors, and the distributions of errors by Python grammar category were analyzed. In addition, a coding learning process to refer error lists was designed to present a coding learning method that enables learners to solve program errors by themselves.