• Title/Summary/Keyword: Feature Based Modeling System

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The 3D Shape Reconstruction System Based on Active Stereo Matching (Active Stereo Matching 기반의 3차원 형상 재구성 시스템)

  • Byun, Ki-Won;Im, Jae-Uk;Kim, Dae-Dong;Nam, Ki-Gon
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1003-1004
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    • 2008
  • In this paper, we propose a 3D modeling method using Laser Slit Beam and Stereo Camera. We can get depth information of image by analyzing projected Laser Slit Beam on object. 3D modeling is demanded exquisite merge of 3D data. In our approach, we can get the depth image where the reliability is high. Each reconstructed 3D modeling is combined by the sink information which is acquired by SIFT (Scale Invariant Feature Transform) Algorithm. We perform experiments using indoor images. The results show that the proposed method works well in indoor environments

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Content-based Music Information Retrieval using Pitch Histogram (Pitch 히스토그램을 이용한 내용기반 음악 정보 검색)

  • 박만수;박철의;김회린;강경옥
    • Journal of Broadcast Engineering
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    • v.9 no.1
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    • pp.2-7
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    • 2004
  • In this paper, we proposed the content-based music information retrieval technique using some MPEG-7 low-level descriptors. Especially, pitch information and timbral features can be applied in music genre classification, music retrieval, or QBH(Query By Humming) because these can be modeling the stochasticpattern or timbral information of music signal. In this work, we restricted the music domain as O.S.T of movie or soap opera to apply broadcasting system. That is, the user can retrievalthe information of the unknown music using only an audio clip with a few seconds extracted from video content when background music sound greeted user's ear. We proposed the audio feature set organized by MPEG-7 descriptors and distance function by vector distance or ratio computation. Thus, we observed that the feature set organized by pitch information is superior to timbral spectral feature set and IFCR(Intra-Feature Component Ratio) is better than ED(Euclidean Distance) as a vector distance function. To evaluate music recognition, k-NN is used as a classifier

Modeling FORM Architectures Based on UML 2.0 Profiling (UML 2.0 프로파일링을 이용한 FORM 아키텍처 모델링)

  • Yang, Kyung-Mo;Jo, Yoon-Ho;Kang, Kyo-Chul
    • Journal of KIISE:Software and Applications
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    • v.36 no.6
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    • pp.431-442
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    • 2009
  • The Software Product Line (SPL) engineering is one of the most promising software development paradigms. With Feature-Oriented Reuse Method (FORM), reusable and flexible components can be built to aid the delivery of various software products such as mobile phone and digital TV applications based on commonalities and variabilities identified during Feature modeling. Model Driven Architecture (MDA) is also an emerging technology which supports developing software products to work on different platforms with platform independent models (PIM). Combining advantages of these two approaches is helpful to build a group of software products which share common Features while working on various platforms. As first step to combine FORM with MDA, we extend UML2.0 with profiles by which FORM architectures and parameterized Statecharts can be modeled. Secondly, we provide rules to examine whether Features are allocated at positions of elements of Statecharts consistently between a Feature model and a parameterized Statechart. Some rules are designed to check the consistency between FORM architectures and parameterized Statecharts. A case study on an elevator control system is provided to demonstrate the feasibility of our modeling approach and consistency checking rules.

Design Modeling of Web-Base a Written Application System using UML (UML을 이용한 웹 기반 원서접수 시스템 설계 모델링)

  • Hwang, Hyun-Bo;Kim, Seok-Soo;Lee, Jae-Cheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11c
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    • pp.2059-2062
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    • 2002
  • In this paper, We are design & implement to the Web based a written Application system using the objected oriented language UML. This system has the many effect which are reusing and maintenance by the pattern definition of implementation steps. Also this system has a special feature among the other web based a written Application systems because this system is supply to user directed methods.

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Web-based 3D Face Modeling System (웹기반 3차원 얼굴 모델링 시스템)

  • 김응곤;송승헌
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.3
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    • pp.427-433
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    • 2001
  • This paper proposes a web-based 3 dimensional face modeling system that makes a realistic facial model efficiently without any 30 scanner or camera that uses in the traditional methods. Without expensive image-input equipments, we can easily create 3B models only using front and side images. The system is available to make 3D facial models as we connect to the facial modeling server on the WWW which is independent from specific platforms and softwares. This system will be implemented using Java 3D API, which includes the functions and conveniences of developed graphic libraries. It is a Client/server architecture which consists of user connection module and 3D facial model creating module. Clients connect with the facial modeling server, input two facial photographic images, detects the feature points, and then create a 3D facial model modifying generic facial model with the points according to the procedures using only the web browser.

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Place Modeling and Recognition using Distribution of Scale Invariant Features (스케일 불변 특징들의 분포를 이용한 장소의 모델링 및 인식)

  • Hu, Yi;Shin, Bum-Joo;Lee, Chang-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.51-58
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    • 2008
  • In this paper, we propose a place modeling based on the distribution of scale-invariant features, and a place recognition method that recognizes places by comparing the place model in a database with the extracted features from input data. The proposed method is based on the assumption that every place can be represented by unique feature distributions that are distinguishable from others. The proposed method uses global information of each place where one place is represented by one distribution model. Therefore, the main contribution of the proposed method is that the time cost corresponding to the increase of the number of places grows linearly without increasing exponentially. For the performance evaluation of the proposed method, the different number of frames and the different number of features are used, respectively. Empirical results illustrate that our approach achieves better performance in space and time cost comparing to other approaches. We expect that the Proposed method is applicable to many ubiquitous systems such as robot navigation, vision system for blind people, wearable computing, and so on.

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Design and Implementation of an Information Visualization System based on Structured Classification Technique (구조적 분류 기법을 기반으로 한 정보 시각화 시스템 설계 및 구현)

  • Kim, Young-Ran;Koo, Yeon-Seol
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3514-3522
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    • 1999
  • While the method of information collection and visual interface technique have been researched actively on web information retrieval, a study on structured modeling for effective classification of a wide collective information leaves to be desired. In this paper, we represent information feature based on structured information model. It aims at carrying out effectively the user's retrieval environment through visualization technique with analyzing the information feature. We propose a information classification method using Facet units and we construct the object model, table model, SQL code to define the relation of the information, and represent the information feature based on a wide range of views. After users gain a better global understanding of the information feature, retrieve more easily through their information. Conventional information retrieval is user-oriented to be what user want, but proposed technique it data-oriented which helps users to understand what exist in database by showing information feature.

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A Knowledge-Based CAD System for Gate in Injection Molding (사출성형 게이트 설계용 지식형 CAD 시스템)

  • 허용정
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.2 no.2
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    • pp.33-37
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    • 2001
  • The synthesis of gates of injection-molded parts has been done empirically, since it requires profound knowledge about the gate design,. which is not available to designers through current CAD systems. GATEWAY is a knowledge module which contains knowledge to Permit non-experts as well as mold design experts to generate acceptable gate design of injection-molded parts. A knowledge-based CAD system is constructed by adding the knowledge module, GATEWAY, for gate synthesis and appropriate CAE programs for mold design analysis to an existing geometric modeler to provide designers, at the initial stage, with comprehensive process knowledge for gate synthesis. Performance analysis and feature-based geometric modeling.

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Systematic Development of Mobile IoT Device Power Management: Feature-based Variability Modeling and Asset Development (모바일 IoT 디바이스 파워 관리의 체계적인 개발 방법: 휘처 기반 가변성 모델링 및 자산 개발)

  • Lee, Hyesun;Lee, Kang Bok;Bang, Hyo-Chan
    • Journal of KIISE
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    • v.43 no.4
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    • pp.460-469
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    • 2016
  • Internet of Things (IoT) is an environment where various devices are connected to each other via a wired/wireless network and where the devices gather, process, exchange, and share information. Some of the most important types of IoT devices are mobile IoT devices such as smartphones. These devices provide various high-performance services to users but cannot be supplied with power all the time; therefore, power management appropriate to a given IoT environment is necessary. Power management of mobile IoT devices involves complex relationships between various entities such as application processors (APs), HW modules inside/outside AP, Operating System (OS), platforms, and applications; a method is therefore needed to systematically analyze and manage these relationships. In addition, variabilities related to power management such as various policies, operational environments, and algorithms need to be analyzed and applied to power management development. In this paper, engineering principles and a method based on them are presented in order to address these challenges and support systematic development of IoT device power management. Power management of connected helmet systems was used to validate the feasibility of the proposed method.

Deep Learning Based User Safety Profiling Using User Feature Information Modeling (딥러닝 기반 사용자 특징 정보 모델링을 통한 사용자 안전 프로파일링)

  • Kim, Kye-Kyung
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.143-150
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    • 2021
  • There is a need for an artificial intelligent technology that can reduce various types of safety accidents by analyzing the risk factors that cause safety accidents in industrial site. In this paper, user safety profiling methods are proposed that can prevent safety accidents in advance by specifying and modeling user information data related to safety accidents. User information data is classified into normal and abnormal conditions through deep learning based artificial intelligence analysis. As a result of verifying user safety profiling technology using more than 10 types of industrial field data, 93.6% of user safety profiling accuracy was obtained.