• Title/Summary/Keyword: Local feature

Search Result 934, Processing Time 0.035 seconds

Modification Distance Model using Headible Path Contexts for Korean Dependency Parsing (지배가능 경로 문맥을 이용한 의존 구문 분석의 수식 거리 모델)

  • Woo, Yeon-Moon;Song, Young-In;Park, So-Young;Rim, Hae-Chang
    • Journal of KIISE:Software and Applications
    • /
    • v.34 no.2
    • /
    • pp.140-149
    • /
    • 2007
  • This paper presents a statistical model for Korean dependency-based parsing. Although Korean is one of free word order languages, it has the feature of which some word order is preferred to local contexts. Earlier works proposed parsing models using modification lengths due to this property. Our model uses headible path contexts for modification length probabilities. Using a headible path of a dependent it is effective for long distance relation because the large surface context for a dependent are abbreviated as its headible path. By combined with lexical bigram dependency, our probabilistic model achieves 86.9% accuracy in eojoel analysis for KAIST corpus, more improvement especially for long distance dependencies.

Polarimetric Scattering of Sea Ice and Snow Using L-band Quad-polarized PALSAR Data in Kongsfjorden, Svalbard (북극 스발바드 콩스피오르덴 해역에서 L 밴드 PALSAR 데이터를 이용한 눈과 부빙에 의한 다중편파 산란특성 해석)

  • Jung, Jung-Soo;Yang, Chan-Su;Ouchi, Kazuo;Nakamura, Kuzaki
    • Ocean and Polar Research
    • /
    • v.33 no.1
    • /
    • pp.1-11
    • /
    • 2011
  • This study describes measurements of fast ice recorded on May 23, 2009, in Kongsfjorden (translated as 'Kongs Fjord'), an inlet on the west coast of Spitsbergen in the Svalbard Archipelago. Seasonal fast ice is an important feature for Svalbard fjords, both in relation to their physical environment and also the local ecosystem, since it grows seaward from the coast and remains in place throughout the winter. Ice thickness, snow, ice properties, and wind speed were measured, while SAR (Synthetic Aperture Radar) data was observed simultaneously observed two times from ALOS-PALSAR (L-band). Measured ice thickness was about 25-35 cm while the thickness of ice floe broken from fast ice was measured as 10-15 cm. Average salinity was 1.9-2.0 ppt during the melting period. Polarimetric data was used to extract H/A/alpha-angle parameters of fast ice, ice floe, snow and glacier, which was classified into 18 classes based on these parameters. It was established that the area of fast ice represents surface scattering which indicates low and medium entropy surface scatters such as Bragg and random surfaces, while fast ice covered with snow belongs to a zone of low entropy surface scattering similar to snow-covered land surfaces. The results of this study will contribute to various interpretations of interrelationships between H/A/alpha parameters and the wave scattering Phenomenon of sea ice.

A Study on the Process Form Generation and Expressive Characteristic by Storytelling in BIG's Architecture (BIG의 건축에서 나타나는 스토리텔링에 의한 형태생성 프로세스와 표현 특성에 관한 연구)

  • Kim, Jong-Sung;Kim, Kai-Chun
    • Korean Institute of Interior Design Journal
    • /
    • v.24 no.6
    • /
    • pp.79-86
    • /
    • 2015
  • This study started from the concern for Bjrake Ingels, an emerging architect in the architecture circle, who is creative and popular. Recently, the architecture field provides architects with a foundation to express a process on a new form creation through various new expressive languages, design concepts, and methods. The global Danish group BIG(Bjarke Ingels Group) develops a story by their distinctive architectural language. The storytelling is being used in various fields and now the tool called 'story' is settling down as an important element in the life that human lives. Bjarke Ingels leading the group BIG aims for the form expression by the scientific analysis and adaptation after being affected by Danish regional background and OMA. It creates a form to share stories with local members by visually simplifying the region, culture, environment, social phenomenon, economy, and politics that are invisible and do not have the form in the modern society. The elements and expressive features of the space storytelling include locality, cultural, natural environment, and connectivity which are the content structure(story) that enables you to intervene in the story according to the main agent to imagine a new space. The expressive element includes the watching moving line story of the successive, hierarchical, and organic structures which are constructive elements creating various spaces through the mixture, transmutability, and relocation of the program and inducing users to the space. The space storytelling is composed of the symbolism, community, and eco-friendliness to appear diversely through BIG's case analysis. This study will have significance that it drew a method and feature looked at by many contemporary architects from the storytelling viewpoint in the form-creating process, classified the form-creating process through a new storytelling type, and showed a possibility on the development of various methodologies.

Nickel Silicide Nanowire Growth and Applications

  • Kim, Joondong
    • Proceedings of the Korean Vacuum Society Conference
    • /
    • 2013.02a
    • /
    • pp.215-216
    • /
    • 2013
  • The silicide is a compound of Si with an electropositive component. Silicides are commonly used in silicon-based microelectronics to reduce resistivity of gate and local interconnect metallization. The popular silicide candidates, CoSi2 and TiSi2, have some limitations. TiSi2 showed line width dependent sheet resistance and has difficulty in transformation of the C49 phase to the low resistive C54. CoSi2 consumes more Si than TiSi2. Nickel silicide is a promising material to substitute for those silicide materials providing several advantages; low resistivity, lower Si consumption and lower formation temperature. Nickel silicide (NiSi) nanowire (NW) has features of a geometrically tiny size in terms of diameter and significantly long directional length, with an excellent electrical conductivity. According to these advantages, NiSi NWs have been applied to various nanoscale applications, such as interconnects [1,2], field emitters [3], and functional microscopy tips [4]. Beside its tiny geometric feature, NW can provide a large surface area at a fixed volume. This makes the material viable for photovoltaic architecture, allowing it to be used to enhance the light-active region [5]. Additionally, a recent report has suggested that an effective antireflection coating-layer can be made with by NiSi NW arrays [6]. A unique growth mechanism of nickel silicide (NiSi) nanowires (NWs) was thermodynamically investigated. The reaction between Ni and Si primarily determines NiSi phases according to the deposition condition. Optimum growth conditions were found at $375^{\circ}C$ leading long and high-density NiSi NWs. The ignition of NiSi NWs is determined by the grain size due to the nucleation limited silicide reaction. A successive Ni diffusion through a silicide layer was traced from a NW grown sample. Otherwise Ni-rich or Si-rich phase induces a film type growth. This work demonstrates specific existence of NiSi NW growth [7].

  • PDF

A Case Report of Eosinophilic Granuloma in the Frontal Bone (전두골에 발생한 호산구성육아종의 치험례)

  • Shim, Seung-Hyun;Chung, Chul-Hoon;Chang, Yong-Joon
    • Korean Journal of Head & Neck Oncology
    • /
    • v.26 no.2
    • /
    • pp.243-246
    • /
    • 2010
  • Purpose : Eosinophilic granuloma is a rare benign tumor that is characterized histologically by the presence of destructive granulomas containing numerous Langerhans, cells. The most common presentation of eosinophilic granuloma is a painful, immobile scalp mass in the frontal and parietal bones occurring predominantly in children and adolescents or young adults. We report a representative case of eosinophilic granuloma. Methods : A 16-year-old woman complained of an enlarging fixed scalp mass without pain and tenderness which measured $3{\times}4.5cm$ at the frontal area, which had been found incidentally 2 months before. Plain skull x-ray showed a punched-out bone lesion. Computed tomography and magnetic resonance imaging showed a non-enhancing osteolytic lesion. The tumor and surrounding bony edges were completely removed via a bicoronal approach. The bony defect was reconstructed with bone cement. Results : The tumor was involved frontal bone and dura mater. We confirmed the tumor by the documentation of Birbeck's granules by electron microscopy. There is no evidence of local recurrence during postoperative 1.5 years. Conclusion : The present case shows the characteristic feature of frontal bone involvment of the eosinophilic granuloma. The prognosis of eosinophilic granuloma depend on age at diagnosis and number of bones involved. We consider that best choice of treatment for eosinophilic granuloma is surgical excision.

A Setting of Initial Cluster Centers and Color Image Segmentation Using Superpixels and Fuzzy C-means(FCM) Algorithm (슈퍼픽셀과 FCM을 이용한 클러스터 초기값 설정 및 칼라영상분할)

  • Lee, Jeong-Hwan
    • Journal of Korea Multimedia Society
    • /
    • v.15 no.6
    • /
    • pp.761-769
    • /
    • 2012
  • In this paper, a setting method of initial cluster centers and color image segmentation using superpixels and Fuzzy C-means(FCM) algorithm is proposed. Generally, the FCM can be widely used to segment color images, and an element is assigned to any cluster with each membership values in the FCM. However the algorithm has a problem of local convergence by determining the initial cluster centers. So the selection of initial cluster centers is very important, we proposed an effective method to determine the initial cluster centers using superpixels. The superpixels can be obtained by grouping of some pixels having similar characteristics from original image, and it is projected $La^*b^*$ feature space to obtain the initial cluster centers. The proposed method can be speeded up because number of superpixels are extremely smaller than pixels of original image. To evaluate the proposed method, several color images are used for computer simulation, and we know that the proposed method is superior to the conventional algorithm by the experimental results.

A Recognition Algorithm of Suspicious Human Behaviors using Hidden Markov Models in an Intelligent Surveillance System (지능형 영상 감시 시스템에서의 은닉 마르코프 모델을 이용한 특이 행동 인식 알고리즘)

  • Jung, Chang-Wook;Kang, Dong-Joong
    • Journal of Korea Multimedia Society
    • /
    • v.11 no.11
    • /
    • pp.1491-1500
    • /
    • 2008
  • This paper proposes an intelligent surveillance system to recognize suspicious patterns of the human behavior by using the Hidden Markov Model. First, the method finds foot area of the human by motion detection algorithm from image sequence of the surveillance camera. Then, these foot locus form observation series of features to learn the HMM. The feature that is position of the human foot is changed to each code that corresponds to a specific label among 16 local partitions of image region. Therefore, specific moving patterns formed by the foot locus are the series of the label numbers. The Baum-Welch algorithm of the HMM learns each suspicious and specific pattern to classify the human behaviors. To recognize the inputted human behavior pattern in a test image, the probabilistic comparison between the learned pattern of the HMM and foot series to be tested decides the categorization of the test pattern. The experimental results show that the method can be applied to detect a suspicious person prowling in corridor.

  • PDF

Geometrical Feature-Based Detection of Pure Facial Regions (기하학적 특징에 기반한 순수 얼굴영역 검출기법)

  • 이대호;박영태
    • Journal of KIISE:Software and Applications
    • /
    • v.30 no.7_8
    • /
    • pp.773-779
    • /
    • 2003
  • Locating exact position of facial components is a key preprocessing for realizing highly accurate and reliable face recognition schemes. In this paper, we propose a simple but powerful method for detecting isolated facial components such as eyebrows, eyes, and a mouth, which are horizontally oriented and have relatively dark gray levels. The method is based on the shape-resolving locally optimum thresholding that may guarantee isolated detection of each component. We show that pure facial regions can be determined by grouping facial features satisfying simple geometric constraints on unique facial structure. In the test for over 1000 images in the AR -face database, pure facial regions were detected correctly for each face image without wearing glasses. Very few errors occurred in the face images wearing glasses with a thick frame because of the occluded eyebrow -pairs. The proposed scheme may be best suited for the later stage of classification using either the mappings or a template matching, because of its capability of handling rotational and translational variations.

Binary Visual Word Generation Techniques for A Fast Image Search (고속 이미지 검색을 위한 2진 시각 단어 생성 기법)

  • Lee, Suwon
    • Journal of KIISE
    • /
    • v.44 no.12
    • /
    • pp.1313-1318
    • /
    • 2017
  • Aggregating local features in a single vector is a fundamental problem in an image search. In this process, the image search process can be speeded up if binary features which are extracted almost two order of magnitude faster than gradient-based features are utilized. However, in order to utilize the binary features in an image search, it is necessary to study the techniques for clustering binary features to generate binary visual words. This investigation is necessary because traditional clustering techniques for gradient-based features are not compatible with binary features. To this end, this paper studies the techniques for clustering binary features for the purpose of generating binary visual words. Through experiments, we analyze the trade-off between the accuracy and computational efficiency of an image search using binary features, and we then compare the proposed techniques. This research is expected to be applied to mobile applications, real-time applications, and web scale applications that require a fast image search.

AUTOMATIC ADJUSTMENT OF DISCREPANCIES BETWEEN LIDAR DATA STRIPS - USING THE CONTOUR TREE AND ITERATIVE CLOSEST POINT ALGORITHM

  • Lee, Jae-Bin;Han, Dong-Yeob;Yu, Ki-Yun;Kim, Yong-Il
    • Proceedings of the KSRS Conference
    • /
    • v.1
    • /
    • pp.500-503
    • /
    • 2006
  • To adjust the discrepancy between Light Detection and Ranging (LIDAR) strips, previous researches generally have been conducted using conjugate features, which are called feature-based approaches. However, irrespective of the type of features used, the adjustment process relies upon the existence of suitable conjugate features within the overlapping area and the ability of employed methods to detect and extract the features. These limitations make the process complex and sometimes limit the applicability of developed methodologies because of a lack of suitable features in overlapping areas. To address these drawbacks, this paper presents a methodology using area-based algorithms. This approach is based on the scheme that discrepancies make complex the local height variations of LIDAR data whithin overlapping area. This scheme can be helpful to determine an appropriate transformation for adjustment in the way that minimizes the geographical complexity. During the process, the contour tree (CT) was used to represent the geological characteristics of LIDAR points in overlapping area and the Iterative Closest Points (ICP) algorithm was applied to automatically determine parameters of transformation. After transformation, discrepancies were measured again and the results were evaluated statistically. This research provides a robust methodology without restrictions involved in methods that employ conjugate features. Our method also makes the overall adjustment process generally applicable and automated.

  • PDF