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A Study on Information Architecture & User Experience of the Smartphone (스마트폰의 정보구조와 사용자경험)

  • Lee, Young-Ju
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.383-390
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    • 2015
  • In this study it placed the object of the present invention is to provide a more efficient user interface experience to analyze the structure information and the user experience when using the pattern of the search with the number of intended use of the smart phone. Naver and Daum were the results of the study will consist of 28 dogs and 15 each category Naver and Daum had both a top-down sequential structure. In the case of Naver it has raised the possibility of cognitive load through the use of duplicate content and excessive scrolling news Daum has been in the case of shopping categories at the bottom of this error was raised the possibility of using touch gestures.

An In-Depth Analysis and Improvement on Cache Mechanisms of SSD FTL (SSD FTL의 캐시 메커니즘에 대한 심층 분석 및 개선)

  • Lee, Hyung-Bong;Chung, Tae-Yun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.15 no.1
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    • pp.9-16
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    • 2020
  • Recently, the capacity of SSD has been increasing rapidly due to the improvement of flash memory density. To take full advantage of these SSDs, first of all, FTL's prompt adaptation is necessary. The FTL is a translation layer existing in SSDs to overcome the drawback of the SSD that cannot be modified in place, and has garbage collection and caching functions in addition to the map table management function. In this study, we focus on caching function, compare and analyze the cache implementation methodologies, and propose improved methods. Typical cache implementations divide the cache into groups, manage and retrieve the caches in the group as a linked list. Thus, searches are made in the order of the linked list. In contrast, we propose a method of sequential searching using the search area group of a cache registered in the map table regardless of the linked list and cache group. Experimental results show that the proposed method has a 2.5 times improvement over the conventional method.

Adaptive User Interface Techniques for Efficient Mobile Service (효율적인 모바일 서비스를 위한 적응적 사용자 인터페이스 기술)

  • Kang, Young-Min
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.21-25
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    • 2006
  • As the mobile computing technologies rapidly develops, the mobile phones are evolving into smart phones capable of higher performance. However, it is inevitable that the mobile phones have limited input/output functions in order to maintain the current portability. Because of the limited input and output, the mobile user interfaces currently adopt the inefficient structures based on sequential search and selection. In this paper, an intelligent and adaptive user interface techniques are proposed in order to surmount the current inefficiency of the static interface and to maximize the user convenience. The proposed techniques, based on the users' previous tasks, automatically generate an intelligent and adaptive user interface in order to make users efficiently utilize the mobile services.

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Web Mining for Discovering Interesting Information using Effective Clustering (효율적인 클러스터링을 이용한 관심 정보 추출을 위한 웹 마이닝)

  • Kim, Sung-Hark;Ahn, Byeong-Tae
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.251-260
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    • 2008
  • In internet being a repository of massive information, we easily may not find our desired information, this issue also exists in e-commerce which gets rapid growth. In most of e-commerce sites, the methods furnishing information have been made use of statistical analysis or simple process by category-oriented, but these can't represent diverse correlation among products information and also hardly reflect users' purchasing patterns precisely. In this thesis, we propose more efficient web mining ways for discovering interesting information using effective clustering in e-commerce, which get achieved more suitable relationship among products information using both sequential patterns and association rules in category-independent, and experiments show the efficiency of our proposed methods. And we propose search using effective clustering rapidly.

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Shape Optimization of LMR Fuel Assembly Using Radial Basis Neural Network Technique (신경회로망 기법을 사용한 액체금속원자로 봉다발의 형상최적화)

  • Raza, Wasim;Kim, Kwang-Yong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.31 no.8
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    • pp.663-671
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    • 2007
  • In this work, shape optimization of a wire-wrapped fuel assembly in a liquid metal reactor has been carried out by combining a three-dimensional Reynolds-averaged Navier-Stokes analysis with the radial basis neural network method, a well known surrogate modeling technique for optimization. Sequential Quadratic Programming is used to search the optimal point from the constructed surrogate. Two geometric design variables are selected for the optimization and design space is sampled using Latin Hypercube Sampling. The optimization problem has been defined as a maximization of the objective function, which is as a linear combination of heat transfer and friction loss related terms with a weighing factor. The objective function value is more sensitive to the ratio of the wire spacer diameter to the fuel rod diameter than to the ratio of the wire wrap pitch to the fuel rod diameter. The optimal values of the design variables are obtained by varying the weighting factor.

Designation of a Road in Urban Area Using Rough Transform

  • Kim, Joon-Cheol;Park, Sung-Mo;Lee, Joon-whoan;Jeong, Soo
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.766-771
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    • 2002
  • Automatic change detection based on the vector-to-raster comparison is hard especially in high-resolution image. This paper proposes a method to designate roads in high-resolution image in sequential manner using the information from vector map in which Hough transform is used for reliability. By its linearity, the road of urban areas in a vector map can be easily parameterized. Following some pre-processing to remove undesirable objects, we obtain the edge map of raster image. Then the edge map is transformed to a parameter space to find the selected road from vector map. The comparison is done in the parameter space to find the best matching. The set of parameters of a road from vector map is treated as the constraints to do matching. After designating the road, we may overlay it on the raster image for precise monitoring. The results can be used for detection of changes in road object in a semi-automatic fashion.

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Identification of Fractional-derivative-model Parameters of Viscoelastic Materials Using an Optimization Technique (최적화 기법을 이용한 점탄성물질의 분수차 미분모델 물성계수 추정)

  • Kim, Sun-Yong;Lee, Doo-Ho
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.12 s.117
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    • pp.1192-1200
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    • 2006
  • Viscoelastic damping materials are widely used to reduce noise and vibration because of its low cost and easy implementation, for examples, on the body structure of passenger cars, air planes, electric appliances and ships. To design the damped structures, the material property such as elastic modulus and loss factor is essential information. The four-parameter fractional derivative model well describes the dynamic characteristics of the viscoelastic damping materials with respect to both frequency and temperature. However, the identification procedure of the four-parameter is very time-consuming one. In this study a new identification procedure of the four-parameters is proposed by using an FE model and a gradient-based numerical search algorithm. The identification procedure goes two sequential steps to make measured frequency response functions(FRF) coincident with simulated FRFs: the first one is a peak alignment step and the second one is an amplitude adjustment step. A numerical example shows that the proposed method is useful in identifying the viscoelastic material parameters of fractional derivative model.

An Efficient Audio Indexing Scheme based on User Query Patterns (사용자 질의 패턴을 이용한 효율적인 오디오 색인기법)

  • 노승민;박동문;황인준
    • Journal of KIISE:Databases
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    • v.31 no.4
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    • pp.341-351
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    • 2004
  • With the popularity of digital audio contents, querying and retrieving audio contents efficiently from database has become essential. In this paper, we propose a new index scheme for retrieving audio contents efficiently using audio portions that have been queried frequently. This scheme is based on the observation that users have a tendency to memorize and query a small number of audio portions. Detecting and indexing such portions enables fast retrieval and shows better performance than sequential search-based audio retrieval. Moreover, this scheme is independent of underlying retrieval system, which means this scheme can work together with any other audio retrieval system. We have implemented a prototype system and showed its performance gain through experiments.

Efficient Implementation of Morphological Filters by Structuring Element Decomposition (형태소 분해를 통한 형태학적 필터의 효율적 구현)

    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9A
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    • pp.1419-1424
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    • 1999
  • In order to implement morphological filters on image processing systems, the size of structuring element must be small due to the architectural constraints of the systems, which requires the decomposition of structuring element into small elements for the filters with large structuring elements. In this paper, an algorithm for decomposition of structuring element with no restriction on the shape and size is developed which enables sub-optimal implementation of any morphological filter on 3X3 pipeline machine. The given structuring element is first decomposed into the union of elements using sequential search procedure, then each element is further decomposed optimally into 3X3 elements, resulting in final sub-optimal 3$\times$3 hybrid decomposition. The proposed algorithm is applied to some structuring elements and the results close to the optimum are obtained.

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A Cloning of Novel Esterase from a Metagenomic Library

  • Yoon, Sang-Young;Kim, Seung-Bum;Ryu, Yeon-Woo
    • 한국생물공학회:학술대회논문집
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    • 2005.10a
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    • pp.243-246
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    • 2005
  • A novel esterase showing high enantioselectivity to (S)-ketoprofen ethyl ester was selected from fosmid environmental DNA library which is provided by Microbial Genomic & Applications Center. As a result of Blast search, the gene wasn't registerated in Gene Bank yet. And as we know, conserved domain region of esterase , G-X-S-X-G, wasn't discovered.$^{4)}$ And it is similar to Beta-lactamase. The DNA sequence of cloned esterase include an open reading frame consisting of 1170 bp, designated as EST-Y29, encoding a protein of 389 amino acids with a molecular mass of about 42.8 kDa. And amino acid sequence analysis revealed only a few identity (28%) to tile known esterases/lipases in the databases containing the conserved sequence motifs of esterases/lipases. when being comparison to other esterase revealed , this enzyme seems to be classified as a new member of esterase family. EST-Y29 was functionally overexpressed in a soluble form in E. coli with maximum conversion yield of (S)-ketoprofen at $65^{\circ}C$. This study demonstrates that functional screening combined with the sequential uses of restriction enzymes to exclude already known enzymes is a useful approach for isolating novel enzyme from a metagenome.

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