• Title/Summary/Keyword: validations

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Delegated Attribute Certificate Validation And Protocol (PMI 인증서 검증 위임 및 검증 프로토콜)

  • 이승훈;송주석
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.1
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    • pp.59-67
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    • 2003
  • PMI(Privilege Management Infrastructure) certificates as well as Public-Key certificates must be validated before being used. Validation for a PMI certificate requires PMI certificate path validation, and PKC(Public-Key Certificate) path validations for each entity in the PMI certificate path. This validation work is quite complex and burdened to PMI certificate verifiers. Therefore, this paper suggests a delegated PMI certificate validation that uses specialized validation server, and defines a validation protocol which is used between validation server and client.

Ginsenoside Rg3 enhances phagocytosis of microglia when activated by $\beta$-amyloid in rat primary culture

  • Joo, Seong-Soo;Kang, Hee-Chul;Hwang, Kwang-Woo;Lee, Do-Ik
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.136.1-136.1
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    • 2003
  • $\beta$-amyloid (A$\beta$) peptide produced from amyloid precursor protein (APP) is a major cause of Alzheimer's disease (AD). Therefore, in early phase of AD, imbalance of the production and the clearance of $A\beta$ is regarded as an important factor to progressive AD presenting senile plaque, a hallmark of AD. In the present study, we wanted to verify whether Rg3 can playa role in helping microglia engulfing $A\beta$ peptides. Validations for the study was conducted by using DiI-Ac-LDL, which attached only on type A macrophage scavenger receptor (MSR-A) and ligands for he receptor, fucoidan. (omitted)

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Crack Energy and Governing Equation of an Extensible Beam with Multiple Cracks (다중 균열을 갖는 신장 보의 균열 에너지와 지배방정식)

  • Shon, Sudeok
    • Journal of Korean Association for Spatial Structures
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    • v.24 no.1
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    • pp.65-72
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    • 2024
  • This paper aims to advance our understanding of extensible beams with multiple cracks by presenting a crack energy and motion equation, and mathematically justifying the energy functions of axial and bending deformations caused by cracks. Utilizing an extended form of Hamilton's principle, we derive a normalized governing equation for the motion of the extensible beam, taking into account crack energy. To achieve a closed-form solution of the beam equation, we employ a simple approach that incorporates the crack's patching condition into the eigenvalue problem associated with the linear part of the governing equation. This methodology not only yields a valuable eigenmode function but also significantly enhances our understanding of the dynamics of cracked extensible beams. Furthermore, we derive a governing equation that is an ordinary differential equation concerning time, based on orthogonal eigenmodes. This research lays the foundation for further studies, including experimental validations, applications, and the study of damage estimation and detection in the presence of cracks.

Classification of COVID-19 Disease: A Machine Learning Perspective

  • Kinza Sardar
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.107-112
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    • 2024
  • Nowadays the deadly virus famous as COVID-19 spread all over the world starts from the Wuhan China in 2019. This disease COVID-19 Virus effect millions of people in very short time. There are so many symptoms of COVID19 perhaps the Identification of a person infected with COVID-19 virus is really a difficult task. Moreover it's a challenging task to identify whether a person or individual have covid test positive or negative. We are developing a framework in which we used machine learning techniques..The proposed method uses DecisionTree, KNearestNeighbors, GaussianNB, LogisticRegression, BernoulliNB , RandomForest , Machine Learning methods as the classifier for diagnosis of covid ,however, 5-fold and 10-fold cross-validations were applied through the classification process. The experimental results showed that the best accuracy obtained from Decision Tree classifiers. The data preprocessing techniques have been applied for improving the classification performance. Recall, accuracy, precision, and F-score metrics were used to evaluate the classification performance. In future we will improve model accuracy more than we achieved now that is 93 percent by applying different techniques

Investigation of Pyridinium Ionic Liquids in Corrosion Inhibition of Carbon Steel in Saline Environments (염수 환경에서 탄소강의 피리디늄 이온 액체에 대한 부식 억제 평가 연구)

  • Hassane Lgaz;Lee, Han Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.121-122
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    • 2023
  • This study investigates the anti-corrosion properties of two eco-friendly pyridinium ionic liquids; 4DMN and 4DMP, in a 3.5% NaCl solution. Utilizing weight loss tests, EIS, PDP, quantum chemical calculations, and molecular dynamics simulations, the study demonstrates concentration-dependent inhibition efficiencies of 94% and 92% for 4DMN and 4DMP, respectively. The compounds modulate both anodic and cathodic reactions without altering the corrosion mechanism. EIS data suggest that a protective layer forms, supported by FE-SEM and AFM surface analyses, which reveal improved morphology and reduced roughness. Computational validations corroborate these empirical findings, highlighting the feasibility of these ionic liquids for effective, sustainable corrosion mitigation.

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Machine learning Anti-inflammatory Peptides Role in Recent Drug Discovery

  • Subathra Selvam
    • Journal of Integrative Natural Science
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    • v.17 no.1
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    • pp.21-30
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    • 2024
  • Several anti-inflammatory small molecules have been found in the process of the inflammatory response, and these small molecules have been used to treat some inflammatory and autoimmune diseases. Numerous tools for predicting anti-inflammatory peptides (AIPs) have emerged in recent years. However, conducting experimental validations in the lab is both resource-intensive and time-consuming. Current therapies for inflammatory and autoimmune disorders often involve nonspecific anti-inflammatory drugs and immunosuppressants, often with potential side effects. AIPs have been used in treating inflammatory illnesses like Alzheimer's disease and can limit the expression of inflammatory promoters. Recent advances in adverse incident predictions (AIPs) have been made, but it is crucial to acknowledge limitations and imperfections in existing methodologies.

Enhancing Automated Report Generation: Integrating Rivet and RAG with Advanced Retrieval Techniques

  • Doo-Il Kwak;Kwang-Young Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.753-756
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    • 2024
  • This study integrates Rivet and Retrieved Augmented Generation (RAG) technologies to enhance automated report generation, addressing the challenges of large-scale data management. We introduce novel algorithms, such as Dynamic Data Synchronization and Contextual Compression, expected to improve report generation speed by 40% and accuracy by 25%. The application, demonstrated through a model corporate entity, "Company L," shows how such integrations can enhance business intelligence. Empirical validations planned will utilize metrics like precision, recall, and BLEU to substantiate the improvements, setting new benchmarks for the industry. This research highlights the potential of advanced technologies in transforming corporate data processes.

Nonlinear bending analysis of bidirectional graded porous plates with elastic foundations relative to neutral surface

  • Amr E. Assie
    • Advances in aircraft and spacecraft science
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    • v.11 no.2
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    • pp.129-152
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    • 2024
  • The applicability of a novel incremental-iterative technique with 2D differential/integral quadrature method (DIQM) in analyzing the nonlinear behavior of Bi-directional functionally graded (BDFG) porous plate based on neutral surface is verified in the present works. A formulation of four variables high shear deformation theory is used to describe the kinematic relations with respect to neutral surface rather than mid-plane. Bi-directional material distributions are presented by power functions through both thickness and axial directions. Porosities and voids are distributed by different cosine functions. The large deformations are included within the sense of nonlinear von Kármán strains. The integro-differential equilibrium equations with associated modified boundary conditions are solved numerically and iteratively by using 2D DIQM. Model validations and parametric analysis are depicted to present the influence of neutral axis, nonlinear strains, gradation indices, elastic foundations, and modified boundary conditions on the static deflection in addition to normal and shear stresses. The proposed model is effective in analyzing the static behavior of many real applications in nuclear reactors, marine and aerospace structures with large deformations.

Inter-lab validation for the derivatization method by TFE/TFAA of acidic herbicides (산성 제초제류의 TFE/TFAA 유도체화 방법에 대한 실험실간 정도관리)

  • Pyo, Hee-Soo;Park, Song-Ja;Lee, Kang-Jin;Hong, Jong-Ki;Shin, Ho-Sang
    • The Korean Journal of Pesticide Science
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    • v.9 no.2
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    • pp.159-165
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    • 2005
  • A sensitive derivatization method by using the TFE/TFAA as derivative reagent is proposed for the determination of acidic herbicides in water, by using this method, method detection limits are improved by 10 times and sample volumes are decreased by 5 times compared with other methods such as U.S. EPA and SPEED 98. And also, in order to suggest higher creditable standard operating procedure (SOP), intra- and inter-lab validation test carried out by four laboratories include our lab. The results of intra and inter-lab validations in same experimental conditions show good linearity in given range of concentrations as a $0.1{\sim}10.0$ ng/ml, and range of accuracies and precisions show $-20.5{\sim}12.2$ bias%, $0.55{\sim}24.48%$ (for intra-lab validation) and $-6.66{\sim}0.80 bias%$, $1.92{\sim}13.86%$ (for inter-lab validation), respectively.

Residual Multi Pesticides Screening of Dead Birds by Orbitrap High Resolution Mass Spectrometry (오비트랩 고분해능 질량분석기를 이용한 폐사 조류 중 다성분 잔류 농약 스크리닝 기법)

  • Lee, Doo-Hee;Kim, Bo-Kyong;Wang, Seung-Jun;Son, Ki-Dong;Jung, Hyen-Mi;Choi, Jong-Woo
    • Korean Journal of Environmental Agriculture
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    • v.36 no.4
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    • pp.269-278
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    • 2017
  • BACKGROUND: The objective of this study was to evaluate screening method of residual multi pesticides in dead birds by Orbitrap high resolution mass spectrometry (HRMS) to identify the cause of death for birds. METHODS AND RESULTS: Extraction and clean-up method of residual pesticides in liver of dead birds was used QuEChERS (Quick Easy Cheap Effective Rugged and Safe) and method validations was conducted using liquid chromatography and gas chroamtography with triple-quadrupole mass spectrometer (LC/MS/MS and GC/MS/MS) Also, we were evaluated screening method for the determination of residual pesticides in liver of dead birds by LC and GC Orbitrap Mass Spectrometry. Results of method validations, Correlation coefficients of the matrix matched calibration curves were >0.978, and the method detection limits (MDLs) and limits of quantitation (LOQ) were 2.8~72.1 ng/g (18.4 ng/g on average) and 9.0~230 ng/g (58.5 ng/g on average). The accuracy ranged from 69.1%to 130% (103% on average), and the precision values were less than 14.8%(3.8%on average). The screening of residual pesticides in liver of dead birds by LC and GC Orbitrap HRMS was detected monocrotophos, carbofuran, carbosulfan, deltametrin, benfuracarb, carbofuran, phosphamidon, prochloraz in investigated samples. CONCLUSION: This results showed that accurate mass were extraction of residual pesticides in dead birds by Orbitrap HRMS. It suggested that this screening method is applicable to the residual pesticide analysis for the cause of death as a main tool.