• Title/Summary/Keyword: Feature encoding

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Hybrid PKI Public Certificate Security Method Based on Device ID (디바이스 ID 기반의 하이브리드 PKI 공인 인증 보안 기법)

  • Son, Young-Hwan;Choi, Woon-Soo;Kim, Ki-Hyun;Choi, Han-Na;Lee, Dae-Yoon;Oh, Chung-Shick;Cho, Yong-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.5
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    • pp.113-124
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    • 2010
  • In this study, the hybrid authorization quotation technique is based on the device ID for the integrity of the source region guarantee of user certificate, in order to improve the convenience and security for user in the hybrid PKI certificate Mechanism for authentication. The feature of the model in which it is presented from this paper is 5. First, because the user can select the policy himself in which it matches with each authentication situation and security level, the convenience can be improved. Second, the integrity of the source region of the user certificate can be guaranteed through the comparison of the DLDI Key, that is the hash-value of the device ID. Third, the security can be improved by continuously changing an encoding, and the value of the key in which it decodes through the EOTP Key. Fourth, the index value is added to a certificate, and the storage of a certificate is possible at the Multi-Device. Fifth, since the addi the inan aratus for the integrity of the source region guarantee of a certificate is not needed, the authentication process time can be reduced and the computational load of the certificate server can be reduced also.

Local Prominent Directional Pattern for Gender Recognition of Facial Photographs and Sketches (Local Prominent Directional Pattern을 이용한 얼굴 사진과 스케치 영상 성별인식 방법)

  • Makhmudkhujaev, Farkhod;Chae, Oksam
    • Convergence Security Journal
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    • v.19 no.2
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    • pp.91-104
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    • 2019
  • In this paper, we present a novel local descriptor, Local Prominent Directional Pattern (LPDP), to represent the description of facial images for gender recognition purpose. To achieve a clearly discriminative representation of local shape, presented method encodes a target pixel with the prominent directional variations in local structure from an analysis of statistics encompassed in the histogram of such directional variations. Use of the statistical information comes from the observation that a local neighboring region, having an edge going through it, demonstrate similar gradient directions, and hence, the prominent accumulations, accumulated from such gradient directions provide a solid base to represent the shape of that local structure. Unlike the sole use of gradient direction of a target pixel in existing methods, our coding scheme selects prominent edge directions accumulated from more samples (e.g., surrounding neighboring pixels), which, in turn, minimizes the effect of noise by suppressing the noisy accumulations of single or fewer samples. In this way, the presented encoding strategy provides the more discriminative shape of local structures while ensuring robustness to subtle changes such as local noise. We conduct extensive experiments on gender recognition datasets containing a wide range of challenges such as illumination, expression, age, and pose variations as well as sketch images, and observe the better performance of LPDP descriptor against existing local descriptors.

Serum Resistance in Riemerella anatipestifer is Associated with Systemic Disease in Ducks

  • Wei, Bai;Seo, Hye-Suk;Shang, Ke;Zhang, Jun-feng;Park, Jong-Yeol;Lee, Yea-Jin;Choi, Yu-ri;Kim, Sang-Won;Cha, Se-Yeoun;Jang, Hyung-Kwan;Kang, Min
    • Korean Journal of Poultry Science
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    • v.48 no.4
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    • pp.327-335
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    • 2021
  • Riemerella anatipestifer (RA) can cause septicemia, polyserositis, and ataxia in ducks. It can also colonize the upper respiratory tract of healthy ducks. These differences in pathogenicity are probably the result of diverse mechanisms of virulence in different strains. Since serum resistance is a feature frequently found in systemic pathogens, 130 RA strains having different clinical origins were tested. A variety of serum susceptibility levels were detected. Pharynx strains from healthy ducks were mainly susceptible to the bactericidal effect of the serum, while systemic strains were serum resistant. Heat-treatment of the sera abolished the bactericidal activity, indicating that complement is a key factor in this effect. In an attempt to associate serum-resistance to surface determinant genes of the bacteria, we screened for six genes involved in lipopolysaccharide synthesis and membrane proteins in RA. Of these, three genes (AS87_09335, AS87_00480, and AS87_05195) encoding outer membrane proteins might be implicated in serum resistance statistically. The results indicate that serum resistance is a virulence mechanism in RA.

LRM's Characterics and Applications Plan Through Comparing with FRBR (FRBR과 비교를 통한 LRM의 특징 및 적용방안)

  • Lee, Mihwa
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.355-375
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    • 2022
  • This study is to grasp LRM's feature and applications plan to reflect LRM to cataloging related standards and individual system through comparing and analyzing LRM with the FR model in terms of entities, attributes, and relationships. The application plan is suggested as follows. First, the entity can be extended by defining sub-entities of each entity in the standards and the individual system in order to reflect LRM, even though entities such as families, groups, identifiers, authorized access points, concepts, objects, events, agency and rules have been deleted in LRM. Second, the attribute should be subdivided in the standards and the individual system in order to apply LRM, though many attributes have been changed to relationships for linked data and decreased in LRM. In particular, more specific and detailed property names in the standards and the individual system should be clearly presented, and the vocabulary encoding scheme corresponding to each property should be also developed, since properties with similar functions or repetition in various entities, and material specific properties are generalized and integrated into comprehensive property names. Third, the relationship should be extended through newly declaring the refinement or subtype of the relationship and considering a multi-level relationship, since the relationship itself is general and abstract under increasing the number of relationships in comparing to the property. This study will be practically utilized in cataloging related standards and individual system for applying LRM.

SHVC-based V-PCC Content ISOBMFF Encapsulation and DASH Configuration Method (SHVC 기반 V-PCC 콘텐츠 ISOBMFF 캡슐화 및 DASH 구성 방안)

  • Nam, Kwijung;Kim, Junsik;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.27 no.4
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    • pp.548-560
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    • 2022
  • Video based Point Cloud Compression (V-PCC) is one of the compression methods for compressing point clouds, and shows high efficiency in dynamic point cloud compression with movement due to the feature of compressing point cloud data using an existing video codec. Accordingly, V-PCC is drawing attention as a core technology for immersive content services such as AR/VR. In order to effectively service these V-PCC contents through a media streaming platform, it is necessary to encapsulate them in the existing media file format, ISO based Media File Format (ISOBMFF). However, in order to service through an adaptive streaming platform such as Dynamic Adaptive Streaming over HTTP (DASH), it is necessary to encode V-PCC contents of various qualities and store them in the server. Due to the size of the 2D media, it causes a great burden on the encoder and the server compared to the existing 2D media. As a method to solve such a problem, it may be considered to configure a streaming platform based on content obtained through V-PCC content encoding based on SHVC. Therefore, this paper encapsulates the SHVC-based V-PCC bitstream into ISOBMFF suitable for DASH service and proposes a configuration method to service it. In addition, in this paper, we propose ISOBMFF encapsulation and DASH configuration method to effectively service SHVC-based V-PCC contents, and confirm them through verification experiments.

Sphingomonas abietis sp. nov., an Endophytic Bacterium Isolated from Korean Fir

  • Lingmin Jiang;Hanna Choe;Yuxin Peng;Doeun Jeon;Donghyun Cho;Yue Jiang;Ju Huck Lee;Cha Young Kim;Jiyoung Lee
    • Journal of Microbiology and Biotechnology
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    • v.33 no.10
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    • pp.1292-1298
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    • 2023
  • PAMB 00755T, a bacterial strain, was isolated from Korean fir leaves. The strain exhibits yellow colonies and consists of Gram-negative, non-motile, short rods or ovoid-shaped cells. It displays optimal growth conditions at 20℃, 0% NaCl, and pH 6.0. Results of 16S rRNA gene-based phylogenetic analyses showed that strain PAMB 00755T was most closely related to Sphingomonas chungangi MAH-6T (97.7%) and Sphingomonas polyaromaticivorans B2-7T (97.4%), and ≤96.5% sequence similarity to other members of the genus Sphingomonas. The values of average nucleotide identity (79.9-81.3%), average amino acid identity (73.3-75.9%), and digital DNA-DNA hybridization (73.3-75.9%) were significantly lower than the threshold values for species boundaries; these overall genome-related indexes (OGRI) analyses indicated that the strain represents a novel species. Genomic analysis revealed that the strain has a 4.4-Mbp genome encoding 4,083 functional genes, while the DNA G+C content of the whole genome is 66.1%. The genome of strain PAMB 00755T showed a putative carotenoid biosynthetic cluster responsible for its antioxidant activity. The respiratory quinone was identified as ubiquinone 10 (Q-10), while the major fatty acids in the profile were identified as C18:1ω7c and/or C18:1ω6c (summed feature 8). The major polar lipids of strain PAMB 00755T were diphosphatidylglycerol, phosphatidylethanolamine, sphingoglycolipid, and phosphatidylcholine. Based on a comprehensive analysis of genomic, phenotypic, and chemotaxonomic characteristics, we proposed the name Sphingomonas abietis sp. nov. for this novel species, with PAMB 00755T as the type strain (= KCTC 92781T = GDMCC 1.3779T).

A Study on the Drug Classification Using Machine Learning Techniques (머신러닝 기법을 이용한 약물 분류 방법 연구)

  • Anmol Kumar Singh;Ayush Kumar;Adya Singh;Akashika Anshum;Pradeep Kumar Mallick
    • Advanced Industrial SCIence
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    • v.3 no.2
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    • pp.8-16
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    • 2024
  • This paper shows the system of drug classification, the goal of this is to foretell the apt drug for the patients based on their demographic and physiological traits. The dataset consists of various attributes like Age, Sex, BP (Blood Pressure), Cholesterol Level, and Na_to_K (Sodium to Potassium ratio), with the objective to determine the kind of drug being given. The models used in this paper are K-Nearest Neighbors (KNN), Logistic Regression and Random Forest. Further to fine-tune hyper parameters using 5-fold cross-validation, GridSearchCV was used and each model was trained and tested on the dataset. To assess the performance of each model both with and without hyper parameter tuning evaluation metrics like accuracy, confusion matrices, and classification reports were used and the accuracy of the models without GridSearchCV was 0.7, 0.875, 0.975 and with GridSearchCV was 0.75, 1.0, 0.975. According to GridSearchCV Logistic Regression is the most suitable model for drug classification among the three-model used followed by the K-Nearest Neighbors. Also, Na_to_K is an essential feature in predicting the outcome.