• Title/Summary/Keyword: Two-Dimensional Attention

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A Study on Visualization of Urban Landscape Information Using 3D-GIS Topological Relationship (3D-GIS 위상관계를 활용한 도시경관정보 가시화 방안 연구)

  • Jang, Mun-Hyun
    • Spatial Information Research
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    • v.15 no.1
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    • pp.35-52
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    • 2007
  • Three-dimensional GIS, which provides spatial information through expression techniques of virtual reality close to the real world and the web, is one of the fields that attract a new attention. In particular, Open GIS Consortium(OGC) announced a topological relationship specification of spatial object which supports interoperability while interest in interoperability of spatial data is increasing. However, this specification is limited to two-dimensional spatial object. So this research established a topological relationship of three-dimensional spatial object in order to improve urban landscape and provide a foundation to use GIS. Based on this, this study proposes ways to visualize landscape information which is appropriate for new town's circumstances. It can be concluded that this research has a bigger meaning since it established a base of sharing information about realistic urban landscape that can be accessed regardless of place and time.

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New TDOA-Based Three-Dimensional Positioning Method for 3GPP LTE System

  • Lee, Kyunghoon;Hwang, Wonjun;Ryu, Hyunseok;Choi, Hyung-Jin
    • ETRI Journal
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    • v.39 no.2
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    • pp.264-274
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    • 2017
  • Recently, mobile positioning enhancement has attracted much attention in the 3rd generation partnership project long-term evolution system. In particular, for urban canyon environments, the need for three-dimensional (3D) positioning has increased to enable the altitude of users to be measured. For several decades, several time difference of arrival (TDOA-) based 3D positioning methods have been studied; however, they are only available when at least four evolved Node Bs (eNBs) exist nearby or when all eNBs have the same height. Therefore, in this paper, we propose a new 3D positioning method that estimates the 3D coordinates of a user using three types of two-dimensional (2D) TDOAs. However, the give inaccurate results owing to the undefined axis of the 2D coordinate plane. Therefore, we propose a novel derivation of the hyperbola equation, which includes the undefined axis coordinate in the 2D hyperbola equation. Then, we propose an interaction algorithm that mutually supplies the undefined axis coordinate of users among 2D TDOAs. By performing extensive simulations, we verify that the proposed method is the only solution applicable by using three eNBs with different heights.

Dual graph-regularized Constrained Nonnegative Matrix Factorization for Image Clustering

  • Sun, Jing;Cai, Xibiao;Sun, Fuming;Hong, Richang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.5
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    • pp.2607-2627
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    • 2017
  • Nonnegative matrix factorization (NMF) has received considerable attention due to its effectiveness of reducing high dimensional data and importance of producing a parts-based image representation. Most of existing NMF variants attempt to address the assertion that the observed data distribute on a nonlinear low-dimensional manifold. However, recent research results showed that not only the observed data but also the features lie on the low-dimensional manifolds. In addition, a few hard priori label information is available and thus helps to uncover the intrinsic geometrical and discriminative structures of the data space. Motivated by the two aspects above mentioned, we propose a novel algorithm to enhance the effectiveness of image representation, called Dual graph-regularized Constrained Nonnegative Matrix Factorization (DCNMF). The underlying philosophy of the proposed method is that it not only considers the geometric structures of the data manifold and the feature manifold simultaneously, but also mines valuable information from a few known labeled examples. These schemes will improve the performance of image representation and thus enhance the effectiveness of image classification. Extensive experiments on common benchmarks demonstrated that DCNMF has its superiority in image classification compared with state-of-the-art methods.

The Study of Two-dimensional Chemical Distribution about Soil using Laser Spectroscopy (레이저 분광법을 활용한 토양 2차원 화학적 분포도 검출 연구)

  • Yang, Jun-Ho;Yoh, Jai-Ick
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.6
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    • pp.523-530
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    • 2017
  • Laser-Induced Breakdown Spectroscopy (LIBS) which a plasma is irradiated at a specific wavelength depending on the material when a high-energy laser is irradiated, and a Raman spectroscopy which measures rotation and vibration in molecules as light-scattering phenomenon occurs, are attracting attention as a space exploration technology because of the advantages of high accuracy and real-time analysis, and the ability to perform long-range detection. In this study, the tendency of the laser spectrum according to the change of the soil component was analyzed by laser spectroscopy and the two - dimensional chemical distribution was conducted based on the trend of laser spectrum. We have also established the environment of Mars (4-7 torr) and lunar atmosphere (<1 torr) in experimental setup, to prove that it is possible to measure by difference of soil chemical composition using LIBS and Raman spectroscopy even in artificial space environment.

The Visual Evaluation according to various Methods of Motif Presentation and the Value contrast between the Motif and Background -Floral Pattern- (모티프의 표현방법, 모티프와 배경과의 명도대비에 따른 시각적 평가 -꽃패턴을 중심으로-)

  • 장수경
    • Journal of the Korean Home Economics Association
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    • v.35 no.2
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    • pp.159-172
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    • 1997
  • The purpose of this study was to investigate visual evaluation according to various methods of motif presentation and the value contrast between the motif and background. The instruments developed for this purpose were two sets of stimuli and a response scale. the first set consisted of pattern stimuli. they were eight photographs of floral patterns constructed by using six different motif presentation methods and two different value contrasts. The second set had eight clothing stimuli, photographs of clothings with the above floral patterns. The 7-point sementic differential scale of 19 bipolar adjectives was used as the response scale. The data was analyzed by factor analysis, ANOVA and T-test. The major findings from this study were as follows; 1. Four factors emerged to account for the dimensional structure of the floral pattern image. These factors were attractiveness, tenderness, attention, and maturity. among them attractiveness and tenderness were the major dimensions 2. The patterns and the clothings had no significant difference from each other in terms of attractiveness and tenderness, but in terms of maturity and attention. The pattern presented a cute and sober image, but the clothing presented mature and gorgeous image. 3. methods of motif presentation had significant effects on all the factors. The pattern by shading method gave the most attractive and soft image, the one by line the most soberest, the one by area the most gorgeous, the one by collage the most unattractive, hardest, and cutest, and the one by mosaics the maturest. 4. The value contrast between the motif and background had no significant effects on attractiveness and maturity, but on tenderness and attention. The patterns with a high valued background presented a soft image, but the one with a low valued background a hard image. The patterns with a low valued area presented gorgeous image.

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A Study on the Form and Symbolism of Issey Miyake Dress (이세이 미야께(Issey Miyake)의 의상에 나타난 형태미와 상징성에 관한 연구)

  • 박명희
    • Journal of the Korean Home Economics Association
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    • v.28 no.1
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    • pp.9-20
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    • 1990
  • The purpose of this study was to identify the original quality of design by Issey Miyake and the relationship between the modern expression of art and his design regarding the form, internal symbolism, and Japanese tradition. The bottom current of the modern expression of art has two current: intention to autonomy or purism and intention to contingency. According to analysis of Miyake's design, it was found that Miyake has directed his attention to coexistance of fabric and the body with a pure fluid sculptured form based on two dimensional rectangular fabric. And his plasticity of dress was also made against the fitted structure form and idea of Haute Couture, emphasizaing on his own creativity and insisting on a creative collaboration between the designer and wearer. Finally, the fact that his design was inflnenced by traditionalison of Japanese costume and current modern expression of art was proved.

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Consideration of reversed Boudouard reaction in solid oxide direct carbon fuel cell (SO-DCFC)

  • Vahc, Zuh Youn;Yi, Sung Chul
    • Journal of Ceramic Processing Research
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    • v.19 no.6
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    • pp.514-518
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    • 2018
  • The direct carbon fuel cell (DCFC) has attracted researcher's attention recently, due to its high conversion efficiency and its abundant fuel, carbon. A DCFC mathematical model has developed in two-dimensional, lab-scale, and considers Boudouard reaction and carbon monoxide (CO) oxidation. The model simulates the CO production by Boudouard reaction and additional electron production by CO oxidation. The Boudouard equilibrium strongly depends on operating temperature and affects the amount of produced CO and consequentially affects the overall fuel cell performance. Two different operating temperatures (973 K, 1023 K) has been calculated to discover the CO production by Boudouard reaction and overall fuel cell performance. Moreover, anode thickness of the cell has been considered to find out the influence of the Boudouard reaction zone in fuel cell performance. It was found that in high temperature operating DCFC modeling, the Boudouard reaction cannot be neglected and has a vital role in the overall fuel cell performance.

Structural Simplicity Examined from a Perspective of the Comparison of Architecture and Fashion (건축과 패션의 비교를 통해 고찰한 구조적 단순성)

  • Park, Seon-Ji
    • Journal of the Korea Fashion and Costume Design Association
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    • v.17 no.1
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    • pp.1-11
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    • 2015
  • Fashion and architecture essentially have structure to build space for a form of three dimensions. This study defines the form in which structure in itself becomes design as structural simplicity and investigates design paying attention to only structure. It is one of efforts in order to display new design required in the age of a flood of design and it is considered that before developing design through the fusion of architecture and fashion, understanding structure which is the most fundamental element to constitute the form of the two genres will be a groundwork to develop proper fusion design. This study elucidates similarities between architecture and fashion through literature review and investigates structure meant in architecture and fashion, and after that, collects corresponding examples through related literature and fashion information site. For structural simplicity in architecture, structure of a building in itself is a form and decoration at the same time, and it appears as a form of minimizing other elements and stressing the structure only. Structure in fashion means composition line which essentially exists to embody two dimensional materials onto three dimensional human body. As elements of geometric lines are creatively expressed by a designer in order to constitute three dimensional form from structural simplicity, they connote a variety of functions and exert decorative effects as well. And the shape of structure expressed like this is employed as a tool to show off the designer's techniques.

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Numerical Simulations on Nonlinear Behaviors of Diffusional-Thermal Instabilities in Counterflow Diffusion Flames (대향류 확산화염에서 확산-전도 불안정의 비선형 거동에 대한 수치해석)

  • Lee, Su-Ryong;Kim, Jong-Su
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.26 no.5
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    • pp.695-702
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    • 2002
  • Nonlinear dynamics of striped diffusion flames, by the diffusional-thermal instability with Lewis numbers sufficiently less than unity, is numerically investigated by examining various two-dimensional flame-structure solutions. The Lewis numbers for fuel and oxidizer are assumed to be identical and an overall single-step Arrhenius-type chemical reaction rate is employed in the model. Particular attention is focused on identifying the flame-stripe solution branches corresponding to each distinct stripe pattern and hysteresis encountered during the transition. At a Damkohler number slightly greater than the extinction Damkohler number, eight-stripe solution first emerges from one dimensional solution. The eight-stripe solution survives Damkohler numbers much smaller than the extinction Damkohler number until the transition to four-stripe solution occurs at the first forward transition Damkohler number. At the second forward transition Damkohler number, somewhat smaller than the first transition Damkohler number, the transition to two-stripe solution occurs. However, anu further transition from two-stripe solution to one-stripe solution is not always possible even if one-stripe solution can be independently accessed for particular initial conditions. The Damkohler number ranges for two-stripe and one-stripe solutions are found to be virtually identical because each stripe is an independent structure if distance between stripes is sufficiently large. By increasing the Damkohler number, the backward transition can be observed. In comparison with the forward transition Damkohler numbers, the corresponding backward transition Damkohler numbers are always much greater, thereby indicating significant hysteresis between the stripe patterns of strained diffusion flames.

MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition

  • Liu, Jingxin;Cheng, Jieren;Peng, Xin;Zhao, Zeli;Tang, Xiangyan;Sheng, Victor S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.6
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    • pp.1833-1848
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    • 2022
  • Named entity recognition (NER) is an important basic task in the field of Natural Language Processing (NLP). Recently deep learning approaches by extracting word segmentation or character features have been proved to be effective for Chinese Named Entity Recognition (CNER). However, since this method of extracting features only focuses on extracting some of the features, it lacks textual information mining from multiple perspectives and dimensions, resulting in the model not being able to fully capture semantic features. To tackle this problem, we propose a novel Multi-view Semantic Feature Fusion Model (MSFM). The proposed model mainly consists of two core components, that is, Multi-view Semantic Feature Fusion Embedding Module (MFEM) and Multi-head Self-Attention Mechanism Module (MSAM). Specifically, the MFEM extracts character features, word boundary features, radical features, and pinyin features of Chinese characters. The acquired font shape, font sound, and font meaning features are fused to enhance the semantic information of Chinese characters with different granularities. Moreover, the MSAM is used to capture the dependencies between characters in a multi-dimensional subspace to better understand the semantic features of the context. Extensive experimental results on four benchmark datasets show that our method improves the overall performance of the CNER model.