• Title/Summary/Keyword: Extend 모델

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What Motivates Start-up Firms When Innovations are Sequential? (순차적인 혁신하에서 창업기업에 어떤 동기부여가 가능한가?)

  • Park, In-Uck
    • KDI Journal of Economic Policy
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    • v.28 no.1
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    • pp.219-231
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    • 2006
  • This paper presents a dynamic analysis of the interaction between incumbent firms and successful new entrepreneurs, that can provide R&D incentives when innovations are cumulative/sequential. It is argued that the insights of the basic model extend to varying market structures and regulatory environments.

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Implementation of Bidirectional Associative Memories Using the GBAM Model with Bias Terms (바이어스항이 있는 GBAM 모델을 이용한 양방향 연상메모리 구현)

  • 임채환;박주영
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.05a
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    • pp.69-72
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    • 2001
  • In this paper, we propose a new design method for bidirectional associative memories model with high error correction ratio. We extend the conventional GBAM model using bias terms and formulate a design procedure in the form of a constrained optimization problem. The constrained optimization problem is then transformed into a GEVP(generalized eigenvalue problem), which can be efficiently solved by recently developed interior point methods. The effectiveness of the proposed approach is illustrated by a example.

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Three-Dimensional Active Shape Models for Medical Image Segmentation (의료영상 분할을 위한 3차원 능동 모양 모델)

  • Lim, Seong-Jae;Jeong, Yong-Yeon;Ho, Yo-Sung
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.5
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    • pp.55-61
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    • 2007
  • In this paper, we propose a three-dimensional(3D) active shape models for medical image segmentation. In order to build a 3D shape model, we need to generate a point distribution model(PDM) and select corresponding landmarks in all the training shapes. The manual determination method, two-dimensional(2D) method, and limited 3D method of landmark correspondences are time-consuming, tedious, and error-prone. In this paper, we generate a 3D statistical shape model using the 3D model generation method of a distance transform and a tetrahedron method for landmarking. After generating the 3D model, we extend the shape model training and gray-level model training of 2D active shape models(ASMs) and we use the integrated modeling process with scale and gray-level models for the appearance profile to represent the local structure. Experimental results are comparable to those of region-based, contour-based methods, and 2D ASMs.

The VoIP Capacity Analysis of 802.11 WLANS with Propagation Errors (전파 오류가 빈번한 802.11 무선 랜에서의 VoIP 용량 분석)

  • Jung, Nak-Cheon;Ahn, Jong-Suk
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.1
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    • pp.101-105
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    • 2008
  • This paper proposes an analytical model to calculate VoIP (Voice of IP) capacity over wireless LANs with frequent bit errors. Since the traditional analytical models for VoIP capacity have not included the effect of bit errors, simulations ould only evaluate VoIP capacity over erroneous channels. For analytically accurate estimation of VoIP capacity over noisy channels, we extend the conventional model to include the effect of propagation errors, end-to-end delay, voice quality, the waiting time in AP(Access Point). The experiments show that our model predicts the VoIP capacity of a given network within the range from 3% to 9% difference comparing with the simulation results.

A Realistic Running Animation with One-Legged Hopper Model (한 발 뜀뛰기 모델을 이용한 사실적인 달리기 애니메이션)

  • Kang, Young-Min;Park, Sun-Jin;Cho, Hwan-Gue
    • Journal of the Korea Computer Graphics Society
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    • v.4 no.2
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    • pp.1-13
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    • 1998
  • The most important goal of character animation is to efficiently control the motions of a character. Until now, many techniques have been proposed for human gait animation, and some techniques have been created to control the emotions in gaits such as "tired walking" and "brisk walking" by using parameter interpolation or motion data mapping. This paper proposes a human running model based on a one-legged hopper with a self-balancing mechanism. The proposed technique exploits genetic programming to optimize movement, and can be easily adopted to various character models. We extend the energy minimization technique to generate various motions in accordance with emotional specification.

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Study under productivity measurement and verification of the underground temporary material installation work by simulation technique (시뮬레이션을 활용한 지하가설물 설치작업의 생산성 측정 및 검증에 관한 연구)

  • Bae Yeon-Jin;Park Sang-Hyuk;Han Seung-Heon;Paek Joon-Hong
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2004.11a
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    • pp.427-432
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    • 2004
  • As it is keen competition of a construction market and the recognition that increases construction productivity for maintaining competitiveness, it is increased importance of an interest about productivity and efficiency in the construction industry. This study measures productivity through the instance of investigation that the existing productivity measurement method was utilized and presented a work improvement matter based on the measured contents. The proposed improvement matter is verified through a simulation technique. The purpose of this paper is for a field supervisor to have presented the way that a selection does the most suitable work method to be suitable for a situation, and can forecast production, though a simulation technique is not the most alternative that considered field condition in analyzing productivity measurement.

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Vocabulary Recognition Performance Improvement using a convergence of Bayesian Method for Parameter Estimation and Bhattacharyya Algorithm Model (모수 추정을 위한 베이시안 기법과 바타차랴 알고리즘을 융합한 어휘 인식 성능 향상)

  • Oh, Sang-Yeob
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.353-358
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    • 2015
  • The Vocabulary Recognition System made by recognizing the standard vocabulary is seen as a decline of recognition when out of the standard or similar words. In this case, reconstructing the system in order to add or extend a range of vocabulary is a way to solve the problem. This paper propose configured Bhattacharyya algorithm standing by speech recognition learning model using the Bayesian methods which reflect parameter estimation upon the model configuration scalability. It is recognized corrected standard model based on a characteristic of the phoneme using the Bayesian methods for parameter estimation of the phoneme's data and Bhattacharyya algorithm for a similar model. By Bhattacharyya algorithm to configure recognition model evaluates a recognition performance. The result of applying the proposed method is showed a recognition rate of 97.3% and a learning curve of 1.2 seconds.

A Study in the Data Modeling for Archive System Applying RiC (RiC을 적용한 아카이브 시스템 데이터 모델링 연구)

  • Shin, Mira;Kim, Ikhan
    • Journal of Korean Society of Archives and Records Management
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    • v.19 no.1
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    • pp.23-67
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    • 2019
  • Records in Contexts (RiC) is an international archival description standard developed by integrating and normalizing four archival description standards of the International Council of Archives (ICA). RiC has the advantage of diversifying archival description, exposing the context of records, and ensuring data interoperability between disparate systems. In this study, RiC is set up as a key tool in the design of archive systems, and logical data modeling is performed to implement the database. Because of RiC's conceptual model, RiC-CM can be used as a data reference model, and which makes it possible to develop a data model that meets user requirements. Therefore, this study intends to implement these two data models: relational data model, which is widely used as the database on legacy systems, and graphical data model, which can flexibly extend objects around the relationship between information entities.

Animal Models for the IGF-1 Signal System in Longevity (장수와 관련된 IGF-1 신호 시스템을 연구하기 위한 동물 모델)

  • Kwak, Inseok
    • Journal of Life Science
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    • v.22 no.10
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    • pp.1428-1433
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    • 2012
  • Longevity is an exciting but difficult subject to study because it is determined by complex processes that require the coordinated action of several genetic factors as well as physiological and environmental influences. Genetic approaches have been applied to animal models to identify the molecular mechanism responsible for longevity. Several experimental model organisms obtained over the last decades suggest that the complete deletion of a single gene by gene targeting has proven to be an invaluable tool for the discovery of the mechanisms underlying longevity. The first discovery of long-lived mutants came from Caenorhabditis elegans research, which identified the insulin/IGF-1 pathway as responsible for longevity in this worm. IGF-1 is a multifunctional polypeptide that has sequence similarity to insulin and is involved in normal growth and development of cells. Several factors in the IGF-1 system have since been studied by gene targeting in the control of longevity in lower species, including nematode and fruit fly. In addition, significant progress has been made using mice models to extend the lifespan by targeted mutations that interfere with growth hormone/IGF-1 and IGF-1 signaling cascades. A recent finding that IGF-1 is involved in aging in mice was achieved by using liver-specific knockout mutant mice, and this clearly demonstrated that the IGF-1 signal pathway can extend the lifespan in both invertebrates and vertebrate models. Although the underlying molecular mechanisms for the control of longevity are not fully understood, it is widely accepted that reduced IGF-1 signaling plays an important role in the control of aging and longevity. Several genes involved in the IGF-1 signaling system are reviewed in relation to longevity in genetically modified mice models.

A study on the Revenue model of Character business on the Internet (인터넷상에서 캐릭터를 활용한 수익 모델에 관한 연구)

  • Kim, Joon-Young
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.78-83
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    • 2004
  • In the early days, we could be provided almost internet contents without pay. It's been turning out the time we need to pay for getting some internet contents as it has become one of important media. It's already been a kind of big market. We need to develop the revenue model of character brand in the internet business. Character brand could make the internet contents on a position of advantage. We've made the revenue through using character brand and making commodities and services more valuable. We use the internet in a wide range of daily life communication. It's expected to extend. It's needed to study which kind of revenue model is existed at the moment.

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