• Title/Summary/Keyword: Sub-Feature

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High Efficient Viola-Jones Detection Framework for Real-Time Object Detection (실시간 물체 검출을 위한 고효율 Viola-Jones 검출 프레임워크)

  • Park, Byeong-Ju;Lee, Jae-Heung
    • Journal of IKEEE
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    • v.18 no.1
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    • pp.1-7
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    • 2014
  • In this paper, we suggest an improved Viola-Jones detection framework for the efficient feature selection and the fast rejection method of the sub-window. Our object detector has low computational complexity because it rejects sub-windows until specific threshold. Owing to using same framework, detection performance is same with the existing Viola-Jones detector. We measure the number of average feature calculation about MIT-CMU test set. As a result of the experiment, the number of average feature calculation is reduced to 45.5% and the detection speed is improved about 58.5% compared with the previous algorithm.

Variovorax terrae sp. nov. Isolated from Soil with Potential Antioxidant Activity

  • Woo, Chae Yung;Kim, Jaisoo
    • Journal of Microbiology and Biotechnology
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    • v.32 no.7
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    • pp.855-861
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    • 2022
  • A white-pigmented, non-motile, gram-negative, and rod-shaped bacterium, designated CYS-02T, was isolated from soil sampled at Suwon, Gyeonggi-do, Republic of Korea. Cells were strictly aerobic, grew optimally at 20-28℃ and hydrolyzed Tween 40. Phylogenetic analysis based on 16S rRNA gene sequence indicated that strain CYS-02T formed a lineage within the family Comamonadaceae and clustered as members of the genus Variovorax. The closest members were Variovorax guangxiensis DSM 27352T (98.6% sequence similarity), Variovorax paradoxus NBRC 15149T (98.5%), and Variovorax gossypii JM-310T (98.3%). The principal respiratory quinone was Q-8 and the major polar lipids contain phosphatidylethanolamine (PE), phosphatidylethanolamine (PG), and diphosphatidylglycerol (DPG). The predominant cellular fatty acids were C16:0, summed feature 3 (C16:1ω7c and/or C16:1ω6c) and summed feature 8 (C18:1ω7c and/or C18:1ω6c). The DNA GC content was 67.7 mol%. The ANI and dDDH values between strain CYS-02T and the closest members in the genus Variovorax were ≤ 79.0 and 22.4%, respectively, and the AAI and POCP values between CYS-02T and the other related species in the family Comamonadaceae were > 70% and > 50%, respectively. The genome of strain CYS-02T showed a putative terpene biosynthetic cluster responsible for antioxidant activity which was supported by DPPH radical scavenging activity test. Based on genomic, phenotypic and chemotaxonomic analyses, strain CYS-02T was classified into a novel species in the genus Variovorax, for which the name Variovorax terrae sp. nov., has been proposed. The type strain is CYS-02T (= KACC 22656T = NBRC 00115645T).

Geological Structure Related to Seoul Sub-way Construction. (서울지하철공사와 암반구조)

  • Lee Su Gon
    • Explosives and Blasting
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    • v.10 no.3
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    • pp.8-25
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    • 1992
  • On the Sub- way Construction It is important to Survey in advance the Geological Structure and also to make the Engineering Geological map this paper deseribs the feature of Geological structure of Seoul Area and analyses the recently occured Rock falling acciudents. NATM Tunnelling always must be done with careful observation and measurement of the geological condition.

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Hybrid-Feature Extraction for the Facial Emotion Recognition

  • Byun, Kwang-Sub;Park, Chang-Hyun;Sim, Kwee-Bo;Jeong, In-Cheol;Ham, Ho-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1281-1285
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    • 2004
  • There are numerous emotions in the human world. Human expresses and recognizes their emotion using various channels. The example is an eye, nose and mouse. Particularly, in the emotion recognition from facial expression they can perform the very flexible and robust emotion recognition because of utilization of various channels. Hybrid-feature extraction algorithm is based on this human process. It uses the geometrical feature extraction and the color distributed histogram. And then, through the independently parallel learning of the neural-network, input emotion is classified. Also, for the natural classification of the emotion, advancing two-dimensional emotion space is introduced and used in this paper. Advancing twodimensional emotion space performs a flexible and smooth classification of emotion.

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The Audio Signal Classification System Using Contents Based Analysis

  • Lee, Kwang-Seok;Kim, Young-Sub;Han, Hag-Yong;Hur, Kang-In
    • Journal of information and communication convergence engineering
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    • v.5 no.3
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    • pp.245-248
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    • 2007
  • In this paper, we research the content-based analysis and classification according to the composition of the feature parameter data base for the audio data to implement the audio data index and searching system. Audio data is classified to the primitive various auditory types. We described the analysis and feature extraction method for the feature parameters available to the audio data classification. And we compose the feature parameters data base in the index group unit, then compare and analyze the audio data centering the including level around and index criterion into the audio categories. Based on this result, we compose feature vectors of audio data according to the classification categories, and simulate to classify using discrimination function.

A Study on the Feature Extraction for High Speed Character Recognition -By Using Interative Extraction and Hierarchical Formation of Directional Information- (고속 문자 인식을 위한 특징량 추출에 관한 연구 - 방향정보의 반복적 추출과 특징량의 계층성을 이용하여 -)

  • 강선미;이기용;양윤모;양윤모;김덕진
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.11
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    • pp.102-110
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    • 1992
  • In this paper, a new method of character recognition is proposed. It uses density information, in addition to positional and directional information generally used, to recognize a character. Four directional feature primitives are extracted from the thinning templates on the observation that the output of the templates have directional property in general. A simple and fast feature extraction scheme is possible. Features are organized from recursive nonary tree(N-tree) that corresponds to normalized character area. Each node of the N-tree has four directional features that are sum of the features of it's nine sub-nodes. Every feature primitive from the templates are added to the corresponding leaf and then summed to the upper nodes successively. Recognition can be accomplished by using appropriate feature level of N-tree. Also, effectiveness of each node's feature vector was tested by experiment. A method to implement the proposed feature vector organization algorithm into hardware is proposed as well. The third generation node, which is 4$\times$4, is used as a unit processing element to extract features, and it was implemented in hardware. As a result, we could observe that it is possible to extract feature vector for real-time processing.

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Observational Feature of Ejecta-Companion Interaction of A Type Ia SN 2021hpr Via The Very Early Light Curve

  • Lim, Gu;Im, Myungshin;Paek, Gregory S.H;Yoon, Sung-Chul;Choi, Changsu;Kim, Sophia;Seo, Jinguk;Kang, Wonseok;Kim, Taewoo;Sung, Hyun-Il;Kim, Yonggi;Yoon, Joh-Na
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.50.3-51
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    • 2021
  • The progenitor of Type Ia supernovae is largely expected as a close binary system of a carbon/oxygen white dwarf (WD) primary and its secondary non-degenerate (single degenerate; SD) or degenerate companion (double degenerate; DD). Here we present a high-cadence monitoring observation of SN 2021hpr in a spiral galaxy, NGC 3147. SN 2021hpr shows typical characteristics as a normal type Ia supernova from its photometric (Δm15(B)=1.01±0.03, dust free MB,max=-19.45±0.02) and spectroscopic data. To investigate its progenitor system, we fit the early part of BVRI-band light curve simultaneously with a combined version of ejecta-companion and simple power-law model. As a result, we found a significant feature of an early excess possibly from a 7.63±0.52R-sized companion at the optimal viewing angle while the fit is not successful at the common viewing angle. No possible red sources brighter than F555W=-7.01 AB mag is detected at the SN location in Hubble Space Telescope (HST) pre-explosion images, excluding massive stars with initial mass of >16M as companions. We suggest the progenitor system of SN 2021hpr can be a fairly large companion such as a main sequence, a low mass subgiant, and a helium giant star. In addition, a possibility of the ejecta-Disk Originated Matter (DOM) interaction for the DD scenario considering linearly-rising early flux still remains.

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Reversible Sub-Feature Retrieval: Toward Robust Coverless Image Steganography for Geometric Attacks Resistance

  • Liu, Qiang;Xiang, Xuyu;Qin, Jiaohua;Tan, Yun;Zhang, Qin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.3
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    • pp.1078-1099
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    • 2021
  • Traditional image steganography hides secret information by embedding, which inevitably leaves modification traces and is easy to be detected by steganography analysis tools. Since coverless steganography can effectively resist steganalysis, it has become a hotspot in information hiding research recently. Most coverless image steganography (CIS) methods are based on mapping rules, which not only exposes the vulnerability to geometric attacks, but also are less secure due to the revelation of mapping rules. To address the above issues, we introduced camouflage images for steganography instead of directly sending stego-image, which further improves the security performance and information hiding ability of steganography scheme. In particular, based on the different sub-features of stego-image and potential camouflage images, we try to find a larger similarity between them so as to achieve the reversible steganography. Specifically, based on the existing CIS mapping algorithm, we first can establish the correlation between stego-image and secret information and then transmit the camouflage images, which are obtained by reversible sub-feature retrieval algorithm. The received camouflage image can be used to reverse retrieve the stego-image in a public image database. Finally, we can use the same mapping rules to restore secret information. Extensive experimental results demonstrate the better robustness and security of the proposed approach in comparison to state-of-art CIS methods, especially in the robustness of geometric attacks.

Taxonomic characteristics of novel Flavobacteriumsp. B1 from a freshwater pond

  • Bae, Young-Min
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.5
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    • pp.605-613
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    • 2022
  • The genus Flavobacterium, type genus of the family Flavobacteriaceae and a member of the phylum Bacteriodetes includes gram-negative and yellow-pigmented rods. Those bacteria have been isolated from various environments of the earth. A yellow-pigmented, gram-negative rod was isolated from a pond in the campus of the Changwon University, Changwon, Kyeongnam and designated as strain B1. Strain B1 was further analyzed physiologically, biochemically and phylogenetically, and concluded to be a member of genus Flavobacterium. BLAST search of the 16S rRNA gene sequence of strain B1 shows homology no higher than 99.0% with those sequences of other bacteria. The major fatty acids of strain B1 are iso-C15:0 (19.6%), summed feature 3(C16:1 ω7c and/or C16:1 ω6c, 16.1%), iso-C17:0 3OH(10.2%), iso-C15:0 3OH(8.4%) and iso-C15:1 G(6.6%) showing significant differences in fatty acid compositions between strain B1 and the other known Flavobacterium species. DNA sequence of 16S rRNA gene of strain B1 was deposited in genbank under accession number OP060681.

Iris Recognition Based on a Shift-Invariant Wavelet Transform

  • Cho, Seongwon;Kim, Jaemin
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.3
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    • pp.322-326
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    • 2004
  • This paper describes a new iris recognition method based on a shift-invariant wavelet sub-images. For the feature representation, we first preprocess an iris image for the compensation of the variation of the iris and for the easy implementation of the wavelet transform. Then, we decompose the preprocessed iris image into multiple subband images using a shift-invariant wavelet transform. For feature representation, we select a set of subband images, which have rich information for the classification of various iris patterns and robust to noises. In order to reduce the size of the feature vector, we quantize. each pixel of subband images using the Lloyd-Max quantization method Each feature element is represented by one of quantization levels, and a set of these feature element is the feature vector. When the quantization is very coarse, the quantized level does not have much information about the image pixel value. Therefore, we define a new similarity measure based on mutual information between two features. With this similarity measure, the size of the feature vector can be reduced without much degradation of performance. Experimentally, we show that the proposed method produced superb performance in iris recognition.