• Title/Summary/Keyword: Similarity reduction

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Study on the Development of Integrated Vibration and Sound Generator (휴대폰용 일체형 음향 및 진동 발생장치 개발을 위한 연구)

  • 신태명;안진철
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.13 no.11
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    • pp.875-881
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    • 2003
  • The received signal of a mobile phone is normally sensed through two independent means which are the sound generation of a speaker and vibration generation of a vibration motor. As an improvement scheme to meet the consumer's demand on weight reduction and miniaturization of a mobile phone, the design and development of an integrated vibration and sound generating device are performed in this research. To this purpose, the optimal shapes of the voice coil. the permanent magnet and the vibration plate are designed, and the excitation force applied to the vibration system of the new device is estimated and verified through theoretical analyses, computer simulation, and experiments using an expanded model. In addition, vibration performance comparison of the device with the existing vibration motor is performed, and from the overall process, therefore, the method and procedure for the vibration performance analysis of the integrated vibration and sound generating device are established.

A Study on 2D/3D image Conversion Method using Optical flow of Level Simplified and Noise Reduction (Optical flow의 레벨 간소화와 잡음제거를 이용한 2D/3D 변환기법 연구)

  • Han, Hyeon-Ho;Lee, Gang-Seong;Eun, Jong-Won;Kim, Jin-Soo;Lee, Sang-Hun
    • Proceedings of the KAIS Fall Conference
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    • 2011.12b
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    • pp.441-444
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    • 2011
  • 본 논문은 2D/3D 영상 처리에서 깊이지도 생성을 위한 Optical flow에서 레벨을 간소화하여 연산량을 감소시키고 객체의 고유벡터를 이용하여 영상의 잡음을 제거하는 연구이다. Optical flow는 움직임추정 알고리즘의 하나로 두 프레임간의 픽셀의 변화 벡터 값을 나타내며 블록 매칭과 같은 알고리즘에 비해 정확도가 높다. 그러나 기존의 Optical flow는 긴 연산 시간과 카메라의 이동이나 조명의 변화에 민감한 문제가 있다. 이를 해결하기 위해 연산 시간의 단축을 위한 레벨 간소화 과정을 거치고 영상에서 고유벡터를 갖는 영역에 한해 Optical flow를 적용하여 잡음을 제거하는 방법을 제안하였다. 제안한 방법으로 2차원 영상을 3차원 입체 영상으로 변환하였고 SSIM(Structural SIMilarity Index)으로 최종 생성된 영상의 오차율을 분석하였다.

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Efficient Multistage Approach for Unsupervised Image Classification

  • Lee Sanghoon
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.428-431
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    • 2004
  • A multi-stage hierarchical clustering technique, which is an unsupervised technique, has been proposed in this paper for classifying the hyperspectral data .. The multistage algorithm consists of two stages. The 'local' segmentor of the first stage performs region-growing segmentation by employing the hierarchical clustering procedure with the restriction that pixels in a cluster must be spatially contiguous. The 'global' segmentor of the second stage, which has not spatial constraints for merging, clusters the segments resulting from the previous stage, using a context-free similarity measure. This study applied the multistage hierarchical clustering method to the data generated by band reduction, band selection and data compression. The classification results were compared with them using full bands.

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Miscibility of TPU(PCL diol)/PCL Blend and its Effect on PCL Crystallinity

  • Ajili Shadi Hassan;Ebrahimi Nadereh Golshan
    • Proceedings of the Polymer Society of Korea Conference
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    • 2006.10a
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    • pp.371-372
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    • 2006
  • Poly(${\varepsilon}-caprolactone$) (PCL) is a highly crystalline polymer that is miscible with several amorphous polymers including chlorinated polyether, poly(vinylchloride), poly(hydroxyether) and Bisphenol A polycarbonate. The crystallization behavior of miscible blend of amorphous/crystalline polymers has widely been studied. Generally a depression of the crystallization ability has been found with addition of amorphous component because of the reduction of chain mobility, the change of free energy of nucleation as a result of a specific interaction, and so on [1]. In this work, for the first time, the blend of PCL and copolymer of polyurethane containing polycaprolactone as a soft segment is considered. The structural similarity of TPU soft segment with PCL affects on formation of the miscible component and crystallization behavior of PCL in the blend. This has been studied using differential scanning calorimetry (DSC) and Wide-angle X-ray Scattering (WAXS).

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A Study on the Rejection Algorithm Using Generic Word Model Based on Diphone Subword Unit (다이폰 기반의 Generic Word Model을 이용한 거절 알고리즘)

  • Chung, Ik-Joo;Chung, Hoon
    • Speech Sciences
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    • v.10 no.2
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    • pp.15-25
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    • 2003
  • In this paper, we propose an algorithm on OOV(Out-of-Vocabulary) rejection based on two-stage method. In the first stage, the algorithm rejects OOVs using generic word model, and then in the second stage, for further reduction of false acceptance, it rejects words which have low similarity to the candidate by measuring the distance between HMM models. For the experiment, we choose 20 in-vocabulary words out of PBW445 DB distributed by ETRI. In case that the first stage is processed only, the false acceptance is 3% with 100% correct acceptance, and in case both stages are processed, the false acceptance is reduced to 1% with 100% correct acceptance.

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Citrobacter amalonatics와 Citrobacter farmari에 의한 perchlorate 환원

  • Nirmala Bardiya
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.09a
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    • pp.438-441
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    • 2003
  • The present study reports the novel physiological function of dissimilatory perchlorate reduction by two strains JB101 and JB109 isolated from a sewage treatment facility in Incheon, South Korea. The physiological data of the isolates showed good correspondence with the members of the family Enterobacteriaceae. The partial 16S rRNA and 16S rDNA sequence of strains JB101 and JB109 showed similarity of 99.8% to Citrobacter amalonaticus and 98% to Citrobacter farmari, respectively. The study infers toward possibility of Citrobacter spp. to form an important group of dissimilatory perchlorate reducers within the (equation omitted) subclass of Proteobacteria because the majority of the known. members belong to two monophyletic groups namely Dechloromonas and Dechlorosoma in $\beta$ subclass of Proteobacteria.

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Systematization design and the analogical interpretation of machinery character by use CAE (컴퓨터 응용기술(CAE)을 이용한 기기특성의 유추해석과 계열화 설계)

  • 조경재;조제황;이권현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.851-856
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    • 1996
  • In this paper, we introduce the design method using CAE(Computer Aided Engineering) which is profitable in the compatability and standardization of the developed product, and the reduction of construction time and price to develop and design a machine equipment. Particularly, we select the standard model to design or develop from the large machinery to the super precision one, extract the peculiar characters of the model by the close analysis of the physical and technical part, the experiment for the characteristics of objective dimensions by analogical mathematical analysis for previous results, and can induce the design model demanded by user investigating optimal data in the design previous We present the analogical algorithms and process method of design factors and restriction factors in the systematization design with computer. Then we analyze step functions for each systematization equipment and induce the process of technical data with actuator model.

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A Study on the Optimal Mahalanobis Distance for Speech Recognition

  • Lee, Chang-Young
    • Speech Sciences
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    • v.13 no.4
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    • pp.177-186
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    • 2006
  • In an effort to enhance the quality of feature vector classification and thereby reduce the recognition error rate of the speaker-independent speech recognition, we employ the Mahalanobis distance in the calculation of the similarity measure between feature vectors. It is assumed that the metric matrix of the Mahalanobis distance be diagonal for the sake of cost reduction in memory and time of calculation. We propose that the diagonal elements be given in terms of the variations of the feature vector components. Geometrically, this prescription tends to redistribute the set of data in the shape of a hypersphere in the feature vector space. The idea is applied to the speech recognition by hidden Markov model with fuzzy vector quantization. The result shows that the recognition is improved by an appropriate choice of the relevant adjustable parameter. The Viterbi score difference of the two winners in the recognition test shows that the general behavior is in accord with that of the recognition error rate.

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Scalable Multi-view Video Coding based on HEVC

  • Lim, Woong;Nam, Junghak;Sim, Donggyu
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.6
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    • pp.434-442
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    • 2015
  • In this paper, we propose an integrated spatial and view scalable video codec based on high efficiency video coding (HEVC). The proposed video codec is developed based on similarity and uniqueness between the scalable extension and 3D multi-view extension of HEVC. To improve compression efficiency using the proposed scalable multi-view video codec, inter-layer and inter-view predictions are jointly employed by using high-level syntaxes that are defined to identify view and layer information. For the inter-view and inter-layer predictions, a decoded picture buffer (DPB) management algorithm is also proposed. The inter-view and inter-layer motion predictions are integrated into a consolidated prediction by harmonizing with the temporal motion prediction of HEVC. We found that the proposed scalable multi-view codec achieves bitrate reduction of 36.1%, 31.6% and 15.8% on the top of ${\times}2$, ${\times}1.5$ parallel scalable codec and parallel multi-view codec, respectively.

A method for ultrasound image edge enhancement by using Probabilistic edge map (초음파 진단영상 대조도 개선을 위한 확률 경계 맵을 이용한 연구)

  • Choi, Woo-hyuk;Park, Won-hwan;Park, Sungyun
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.20 no.1
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    • pp.37-44
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    • 2016
  • Ultrasonic imaging is the most widely modality among modern imaging device for medical diagnosis. Nevertheless, medical ultrasound images suffer from speckle noise and low contrast. In this paper, we propose probabilistic edge map for ultrasound image edge enhancement using automatic alien algorithm. The proposed method used applied speckle reduced ultrasound imaging for edge improvement using sequentially acquired ultrasound imaging. To evaluate the performance of method, the similarity between the reference and edge enhanced image was measured by quantity analysis. The experimental results show that the proposed method considerably improves the image quality with region edge enhancement.