• 제목/요약/키워드: Data Architectures

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Morphogenetic and neuronal characterization of human neuroblastoma multicellular spheroids cultured under undifferentiated and all-trans-retinoic acid-differentiated conditions

  • Jung, Gwon-Soo;Lee, Kyeong-Min;Park, Jin-Kyu;Choi, Seong-Kyoon;Jeon, Won Bae
    • BMB Reports
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    • v.46 no.5
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    • pp.276-281
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    • 2013
  • In this study, we aimed to compare the morphogenetic and neuronal characteristics between monolayer cells and spheroids. For this purpose, we established spheroid formation by growing SH-SY5Y cells on the hydrophobic surfaces of thermally-collapsed elastin-like polypeptide. After 4 days of culture, the relative proliferation of the cells within spheroids was approximately 92% of the values for monolayer cultures. As measured by quantitative assays for mRNA and protein expressions, the production of synaptophysin and neuronspecific enolase (NSE) as well as the contents of cell adhesion molecules (CAMs) and extracellular matrix (ECM) proteins are much higher in spheroids than in monolayer cells. Under the all-trans-retinoic acid (RA)-induced differentiation condition, spheroids extended neurites and further up-regulated the expression of synaptophysin, NSE, CAMs, and ECM proteins. Our data indicate that RA-differentiated SH-SY5Y neurospheroids are functionally matured neuronal architectures.

Construction of Metadata Format and Ontology for Religious architecture heritage Information (종교유적 건축물 정보의 메타데이터 구성과 온톨로지 구축)

  • Chung, Heesun;Kim, Heesoon;Song, Hyun-Sook;Lee, Myeong-Hee
    • Journal of Korean Library and Information Science Society
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    • v.44 no.1
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    • pp.5-26
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    • 2013
  • Although organizing standardized metadata is important for effective management of cultural heritage information, current metadata are represented differently according to the properties of the resources or objectives of the organizations in which they are accumulated. This research compared 6 different metadata formats and created 18 data elements for constructing databases. A religious architecture heritage information database was constructed based on 72 historic religious architectures, each composing of three parts. An ontology based on religious architecture heritage information was designed using a revised CIDOC-CRM, and was developed with a semi-automated corpus program.

Memory Reduction Method of DIT-based IFFT Bit-Reversal (DIT 기반 IFFT의 Bit-Reversal 메모리 감소 기법)

  • Kim, Jun-Ho;Piao, Zheyan;Cho, Kyung-Ju;Chung, Jin-Gyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.66-73
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    • 2015
  • IFFT is one of the key components in OFDM-based communication systems. In this paper, we propose a new memory efficient IFFT design method for OFDM-based communication systems, based on a mapping of three IFFT input signals which consist of modulated data, pilot and null signals. The proposed method focuses on reducing the memory size in the bit-reversal block which requires the largest number of memory cells in IFFT architectures. To reduce the memory size, we propose a selection mapping method based on decimation-in-time (DIT) algorithm. It is shown that the proposed method achieves a memory reduction of about 50% compared to conventional methods.

Parallel Testing Circuits with Versatile Data Patterns for SOP Image SRAM Buffer (SOP Image SRAM Buffer용 다양한 데이터 패턴 병렬 테스트 회로)

  • Jeong, Kyu-Ho;You, Jae-Hee
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.9
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    • pp.14-24
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    • 2009
  • Memory cell array and peripheral circuits are designed for system on panel style frame buffer. Moreover, a parallel test methodology to test multiple blocks of memory cells is proposed to overcome low yield of system on panel processing technologies. It is capable of faster fault detection compared to conventional memory tests and also applicable to the tests of various embedded memories and conventional SRAMs. The various patterns of conventional test vectors can be used to enhance fault coverage. The proposed testing method is also applicable to hierarchical bit line and divided word line, one of design trends of recent memory architectures.

A Study on Tool for Software Architecture Design (소프트웨어 구조 설계 지원 도구 개발에 관한 연구)

  • 강병도;이미경
    • Journal of Korea Society of Industrial Information Systems
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    • v.7 no.3
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    • pp.15-22
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    • 2002
  • As the size and complexity of software systems increase, the design and specification of overall system structure become more significant issues than the choice of algorithms and data structures of computation. Software architecture serves as a framework for understanding system components and their interrelationships. Software architectures can be reusable assets to achieve low costs, high productivity, and consistent quality. We have developed a software architecture design environment, called Happy Work. In this paper, we would like to present the structure and functions of Happy Work. Happy Work has two main functions. First, it Provides a graphic editor for modeling of software architecture diagram. Second it provides an ADL, called HWL(Happy Work language). HWL is a language that describes software architect

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Multiple Inputs Deep Neural Networks for Bone Age Estimation Using Whole-Body Bone Scintigraphy

  • Nguyen, Phap Do Cong;Baek, Eu-Tteum;Yang, Hyung-Jeong;Kim, Soo-Hyung;Kang, Sae-Ryung;Min, Jung-Joon
    • Journal of Korea Multimedia Society
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    • v.22 no.12
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    • pp.1376-1384
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    • 2019
  • The cosmetic and behavioral aspects of aging have become increasingly evident over the years. Physical aging in people can easily be observed on their face, posture, voice, and gait. In contrast, bone aging only becomes apparent once significant bone degeneration manifests through degenerative bone diseases. Therefore, a more accurate and timely assessment of bone aging is needed so that the determinants and its mechanisms can be more effectively identified and ultimately optimized. This study proposed a deep learning approach to assess the bone age of an adult using whole-body bone scintigraphy. The proposed approach uses multiple inputs deep neural network architectures using a loss function, called mean-variance loss. The data set was collected from Chonnam National University Hwasun Hospital. The experiment results show the effectiveness of the proposed method with a mean absolute error of 3.40 years.

Development of catering system using 3-Tier architectures (3-Tier 구조를 이용한 케이터링 시스템 개발)

  • Kim, Hyeock-Jin
    • Journal of the Korea Computer Industry Society
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    • v.7 no.4
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    • pp.421-426
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    • 2006
  • Because the 3-Tier structure cia share a business logic, the reuse of existing code could be guaranteed Al so tiny and little client application in charge of user interface can he made that it doesn't need plenty of client memory and calculation capability. Catering system that capable of meal material code management autom atic production of requiring quantity, purchase and shipping management menu management, account management was developed for grafting 3-Tire structure technology using database language and ADO(ActiveX Dat a Object). This system improved production in field of school lunch program and saved o(poises. finally, this system is suitable to the service environment of school lunch program and lots of utilizations would be anticipated.

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The Analysis of Present State and Improvement Way according to the Installation of Electric or Plumbing Equipments of Traditional Folk Houses - Focused on Yongdong, Gangwon Province - (전통민가의 전기 및 설비시설 설치에 따른 실태분석과 개선방안 - 강원영동지역을 중심으로 -)

  • Jin, Jae Hyung;Choi, Jang Soon
    • Journal of the Korean Institute of Rural Architecture
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    • v.14 no.3
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    • pp.25-32
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    • 2012
  • Traditional folk houses in Yongdong, Gangwon province play important roles in figuring out natural, human, and social value in the past time including housing life. However, according to the introduction of electric or plumbing equipment in housing life styles, many conventional architectures have been changed by installations of new electric or plumbing equipment, convenience facilities, and etc. Therefore, this study aims to make basic data to prepare for standardized installations of the electric or plumbing equipment, and convenience facilities by surveying of the present installation status, such as electric lights, outlets, switches, wiring, pipe laying, or monitoring devices for crime, disaster prevention facilities, and home appliances etc. Additionally, this paper is related to the meaning and usage, which are connected with the electric or plumbing equipment installations of the traditional folk houses to be prepare for the proper solutions between preservations of the original form and convenient lives for residents.

Development of the Distributed Real-time Simulation System Based on HLA and DEVS (DEVS형식론을 적응한 HLA기반의 분산 실시간 시뮬레이션 시스템 개발)

  • Kim, Ho-Jeong;Lee, Jae-Hyun;Cho, Kil-Seok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.3
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    • pp.25-32
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    • 2006
  • Weapon systems composed of several subsystems execute various engagement missions in distributed combat environments in cooperation with a large number of subordinate/adjacent weapon systems as well as higher echelons through tactical data links. Such distributed weapon systems require distributed real-time simulation test beds to integrate and test their operational software, analyze their performance and effects of cooperated engagement, and validate their requirement specifications. These demands present significant challenges in terms of real-time constraints, time synchronization, complexity and development cost of an engagement simulation test bed, thus necessitate the use of high-performance distributed real-time simulation architectures, and modeling and simulation techniques. In this paper, in order to meet these demands, we presented a distributed real-time simulation system based on High Level Architecture(HLA) and Discrete Event System Specification(DEVS). We validated its performance by using it as a test bed for developing the Engagement Control System(ECS) of a surface-to-air missile system. The proposed technique can be employed to design a prototype or model of engagement-level distributed real-time simulation systems.

Plant Disease Identification using Deep Neural Networks

  • Mukherjee, Subham;Kumar, Pradeep;Saini, Rajkumar;Roy, Partha Pratim;Dogra, Debi Prosad;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.233-238
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    • 2017
  • Automatic identification of disease in plants from their leaves is one of the most challenging task to researchers. Diseases among plants degrade their performance and results into a huge reduction of agricultural products. Therefore, early and accurate diagnosis of such disease is of the utmost importance. The advancement in deep Convolutional Neural Network (CNN) has change the way of processing images as compared to traditional image processing techniques. Deep learning architectures are composed of multiple processing layers that learn the representations of data with multiple levels of abstraction. Therefore, proved highly effective in comparison to many state-of-the-art works. In this paper, we present a plant disease identification methodology from their leaves using deep CNNs. For this, we have adopted GoogLeNet that is considered a powerful architecture of deep learning to identify the disease types. Transfer learning has been used to fine tune the pre-trained model. An accuracy of 85.04% has been recorded in the identification of four disease class in Apple plant leaves. Finally, a comparison with other models has been performed to show the effectiveness of the approach.