• 제목/요약/키워드: Dynamic texture

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의복의 조형요소에 따른 캐주얼이미지 분류 (Casual Image Classification by Clothing Design Elements)

  • 이경림;박숙현
    • 한국의류학회지
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    • 제32권11호
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    • pp.1771-1781
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    • 2008
  • The purpose of this study was to classify the casual image by clothing design elements. This research was done by survey method with 30 kinds of casual image photos selected in fashion magazines. The data was analyzed by Reliability Analysis, Factor Analysis, ANOVA, Duncan's test and MDS. The results of this study are as follows: 1. Casual image was classified by 6 factors. Those were classic-casual, modern-casual, romantic-casual, vintage-casual, sexy-casual and active-casual images. 2. Classic-casual image was well-expressed by A silhouette, fit, chromatic and chromatic color coordinations and hard texture. Modern-casual image was well-expressed by H silhouette, fit and achromatic and achromatic color coordinations. Romantic-casual image was well-expressed by A silhouette, fit and soft texture. Vintage-casual image was well-expressed by H silhouette, combination apparel-fit, chromatic and chromatic color coordinations and fade-out texture. Sexy-casual image was well-expressed by fitted silhouette, tight apparel-fit and combination texture. 3. Casual image was positioned into mostly dynamic and modern on image scale.

Magnetic-vortex Dynamic Quasi-crystal Formation in Soft Magnetic Nano-disks

  • Kim, Junhoe;Kim, Sang-Koog
    • Journal of Magnetics
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    • 제22권1호
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    • pp.29-33
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    • 2017
  • We report a micromagnetic numerical study on different quasi-crystal formations of magnetic vortices in a rich variety of dynamic transient states in soft magnetic nano-disks. Only the application of spin-polarized dc currents to a single magnetic vortex leads to the formation of topological-soliton quasi-crystals composed of different configurations of skyrmions with positive and negative half-integer numbers (magnetic vortices and antivortices). Such topological object formations in soft magnets, not only in the absence of Dzyaloshinskii-Moriya interaction but also without magnetocrystalline anisotropy, are discussed in terms of two different topological charges, the winding number and the skyrmion number. This work offers an insight into the dynamic topological-spin-texture quasi-crystal formations in soft magnets.

한국과 일본의 자포니카종 쌀에 대한 이화학적 특성의 비교 및 관능품질의 추정에 관한 연구 (Studies on the Comparison of Physicochemical Properties and the Presumption of Sensory Quality of Japonica Rice Varieties Cultivated in Korea and Japan)

  • 홍원표;이성갑;박승남
    • 한국식품영양학회지
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    • 제14권6호
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    • pp.596-604
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    • 2001
  • Twelve varieties of Korean rice and ten varieties of Japanese rice were selected. After being milled. they were analyzed about various physicochemical properties such as moisture, protein and amylose, a -amylase activity, gelatinization properties. And after being cooked with proper amount of water texture and other physical properties were measured by Texturometer, Tensipresser and Rheolograph-micro. Finally the sensory evaluation test was carried out. The results were as follows. 1. In case of protein contents, amylose contents and $\alpha$-amylase activity, Korean rice had a slightly higher value than Japanese As a consequence. Korean rice showed a little stronger hardness and a little weaker stickiness compared with Japanese rice. 2. Amylose contents showed very high correlation with other physicochemical properties and peak viscosity and gelatinization temperature of RVA, the ratio of stickiness to hardness( -Hl/Hl ) of Texturometer and the tan $\delta$(the ratio of dynamic loss to dynamic viscoelasticity) of Rheolograph-micro showed high correlation with other analyzed properties. 3. The ( -/+)work balance of low compression test(25% ) of Tensipresser analysis(texture analysis on the surface of cooked rice) and tan f of Rheolograph-micro showed very high correlation with sensory evaluation results. By using this parameters as major independent variables, some trials to derive high confidence multiple regression equations were accomplished. By the equations it would be possible to make an approximate pre-estimate of eating quality for unknown japonica rice.

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감성유형에 따른 주거 실내디자인요소 적용방안 (A Study on Applications of Housing Interior Design Elements according to the Sensibility Type)

  • 박지민;박은선
    • 한국주거학회논문집
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    • 제25권3호
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    • pp.165-179
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    • 2014
  • The purpose of this study was to draw application elements of housing interior design according to user-oriented sensibility types. The sensibility evaluation experiments were conducted to target the general user 118 people using the sensibility evaluation tool for housing interior space. The results of the analysis were as: To produce the 'cozy' space, the colors and materials giving soft and natural feeling should be used. For the 'practical' space, type of ceiling and window that give the visually open feeling, the user-oriented furniture arrangement that allows using the space efficiently. For the 'cheerful' space, the simple and natural effects should be produced by using closed space that stable. For the 'traditional' space, the natural fishing material having rough texture should be used. For the 'unique' space, the space contained the dynamic feeling by the diagonal or vertical line and the graphic expression in the wall. For the 'congenial' emotional space, basic is the symmetric, stable and simple space. On the other hand, for the material, small size, natural texture or typical and soft materials should be used. For the 'sensuous' space, the dynamic and vertical sense of space should be expressed by the type of ceiling. The most important elements for the space of 'gorgeous' sensibility, is the color.

3D 볼류메트릭 모델의 동적 복원 알고리즘 (Dynamic Reconstruction Algorithm of 3D Volumetric Models)

  • 박병서;김동욱;서영호
    • 방송공학회논문지
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    • 제27권2호
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    • pp.207-215
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    • 2022
  • 최신 볼류메트릭 기술이 제공하는 높은 기하학적 정확도와 사실성은 실제 객체와 캡춰된 3D 모델 간 높은 일치도를 보장한다. 그럼에도 불구하고 이렇게 획득된 3D 모델은 프레임 간 완전히 독립적인 3D모델로 시퀀스를 구성하고 있다는 측면에서, 매 프레임 모델 표면 구조(Geometry)의 일관성이 보장 되지 않으며, 정점(Vertex)의 밀도가 매우 높고 정점 간 연결 노드(Edge)가 매우 복잡해지는 특징을 확인 할 수 있다. 이 기술을 통해 생성된 3D 모델은 영화나 비디오 게임 제작 파이프라인에서 제작된 모델과는 본질적으로 다르며, 실시간 렌더링, 애니메이션 및 시뮬레이션, 압축과 같은 응용 분야에서 직접 사용하기에 적합하지 않다. 이와는 대조적으로 우리의 방법은 프레임 간 3D 모델 표면 구조의 높은 일관성을 확보하는 리메싱(Remeshing)과 비강체 표면(Non-rigid Shape)의 대응(Correspondences) 및 매칭(Matching)을 통한 점진적 변형(Deformation) 과정 및 텍스쳐 전달(Texture Transfer) 과정을 연결함으로서 볼류메트릭 3D 모델 시퀀스 품질의 일관성을 유지하며, 후 처리 과정의 자동화를 제공한다.

도자기 전기물레를 이용한 코리올리힘 기법과 평저굽 융합에 관한 연구 (A Study on the Coriolis Force Technique and the Flat Bottom Foot Using Ceramic Electric Wheel)

  • 김승만
    • 한국콘텐츠학회논문지
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    • 제18권1호
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    • pp.441-451
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    • 2018
  • 이번 논문의 주요 관점은 코리올리힘(Corioli's force)의 원리와 손끝의 감각을 이용하여 고속회전(RPM)에 의해서 기벽 표면에 흠집을 내어 스트라이프(Stripe)의 질감(texture)을 안쪽에서 외벽으로 밀어 늘리는 방식과 코리올리힘(원심력)의 다변화된 아름답고 다이나믹한 독특한 외벽 질감 표현이 관건인데 이를 코리올리힘 기법이라고 정하였다. 또한 전통적인 옹기(onggi)의 평저굽(Flat Bottom Foot)성형 방식을 전기물레를 이용하여 빠른 회전력으로 원통 안쪽에서 밖으로 밀어 외벽을 늘림과 동시에 바닥의 밑면을 평평하게 굽을 펴는 새로운 방식의 평저굽을 개발하였는데 이러한 기법들을 융합하여 새롭고 현대적이면서 독특한 인테리어 작품을 만드는 것이 목적이다.

Deep Learning in Drebin: Android malware Image Texture Median Filter Analysis and Detection

  • Luo, Shi-qi;Ni, Bo;Jiang, Ping;Tian, Sheng-wei;Yu, Long;Wang, Rui-jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권7호
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    • pp.3654-3670
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    • 2019
  • This paper proposes an Image Texture Median Filter (ITMF) to analyze and detect Android malware on Drebin datasets. We design a model of "ITMF" combined with Image Processing of Median Filter (MF) to reflect the similarity of the malware binary file block. At the same time, using the MAEVS (Malware Activity Embedding in Vector Space) to reflect the potential dynamic activity of malware. In order to ensure the improvement of the classification accuracy, the above-mentioned features(ITMF feature and MAEVS feature)are studied to train Restricted Boltzmann Machine (RBM) and Back Propagation (BP). The experimental results show that the model has an average accuracy rate of 95.43% with few false alarms. to Android malicious code, which is significantly higher than 95.2% of without ITMF, 93.8% of shallow machine learning model SVM, 94.8% of KNN, 94.6% of ANN.

Novel liquid crystal display device for memory mode and dynamic mode

  • Kim, Jae-Chang;Jhun, Chul-Gyu;Chen, Chao Ping;Lee, Seong-Ryong;Yoon, Tae-Hoon
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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    • pp.1525-1528
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    • 2006
  • So far, monostable and bistable LCD modes have independently been researched and developed. We introduce a novel liquid crystal display device that and be operated ad memory mode ad well ad dynamic mode. This device has a unique texture of splay, ${\pi}$ twist and bend states with applied voltages and is operated as a memory mode or dynamic mode by selective switching of two states among them. We also demonstrate electro-optical characteristics of the transmissive dual mode.

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Hierarchical Age Estimation based on Dynamic Grouping and OHRank

  • Zhang, Li;Wang, Xianmei;Liang, Yuyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권7호
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    • pp.2480-2495
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    • 2014
  • This paper describes a hierarchical method for image-based age estimation that combines age group classification and age value estimation. The proposed method uses a coarse-to-fine strategy with different appearance features to describe facial shape and texture. Considering the damage to continuity between neighboring groups caused by fixed divisions during age group classification, a dynamic grouping technique is employed to allow non-fixed groups. Based on the given group, an ordinal hyperplane ranking (OHRank) model is employed to transform age estimation into a series of binary enquiry problems that can take advantage of the intrinsic correlation and ordinal information of age. A set of experiments on FG-NET are presented and the results demonstrate the validity of our solution.

Chaotic Features for Dynamic Textures Recognition with Group Sparsity Representation

  • Luo, Xinbin;Fu, Shan;Wang, Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권11호
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    • pp.4556-4572
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    • 2015
  • Dynamic texture (DT) recognition is a challenging problem in numerous applications. In this study, we propose a new algorithm for DT recognition based on group sparsity structure in conjunction with chaotic feature vector. Bag-of-words model is used to represent each video as a histogram of the chaotic feature vector, which is proposed to capture self-similarity property of the pixel intensity series. The recognition problem is then cast to a group sparsity model, which can be efficiently optimized through alternating direction method of multiplier algorithm. Experimental results show that the proposed method exhibited the best performance among several well-known DT modeling techniques.