• 정보과학회 논문지
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• 제42권8호
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• pp.1010-1021
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• 2015

빅데이터 시스템은 대규모 로그 데이터를 수집하는 용도로 광범위하게 사용되고 있기 때문에 높은 성능을 갖는 것이 매우 중요하지만, 현재의 Hadoop 기반의 빅데이터 시스템은 중복 처리로 인하여 낮은 성능을 갖는 아키텍처적인 문제를 가지고 있다. 본 논문은 아키텍처 설계 개선을 통하여 Hadoop 기반 시스템의 낮은 성능 문제를 해결한다. 새로운 제안 아키텍처는 기존 아키텍처의 배치(Batch) 기반의 데이터 수집 방식을 개별처리 방식과 혼합한 수집 방법을 사용하고, 수집하는 데이터를 In-Memory 상에서 직접 분석하여 중복 처리를 배제하여 높은 성능을 제공하게 한다. 또한 제안 아키텍처는 기존 Hadoop 기반 아키텍처의 장점인 시스템 확장성을 가진다. 본 논문은 제안 아키텍처가 테스트 베드 환경에서 기존 아키텍처보다 데이터의 분석 처리 속도가 30%~35% 빠르고 확장성도 가진다는 것을 확인하였다.

• Asia pacific journal of information systems
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• 제10권3호
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• pp.79-103
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• 2000

Data warehouse is an intelligent store of data. A metadata is critical for implementing data warehouse. Integrating data warehouse with its metadata helps create a more adaptive information system. This paper proposes a metadata-oriented data warehouse architecture that consists of seven components: legacy, extracting, operational data store, data warehouse, data mart, application, and metadata. A taxonomy for dataflow and metaflow is proposed for better understanding of the architecture. In addition, a metadata schema is built within the framework of the seven components. Lastly, the architecture with its metadata component is applied to a real-life data warehouse project for a large medical center in order to illustrate its practical usefulness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5669-5684
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• 2018

The new mobile edge network architecture has been required for an increasing amount of traffic, quality requirements, advanced driver assistance system for autonomous driving and new cloud computing demands on highway. This article proposes a hierarchical cloud computing architecture to enhance performance by using adaptive data load distribution for buses that play the role of edge computing server. A vehicular dynamic cloud is based on wireless architecture including Wireless Local Area Network and Long Term Evolution Advanced communication is used for data transmission between moving buses and cars. The main advantages of the proposed architecture include both a reduction of data loading for top layer cloud server and effective data distribution on traffic jam highway where moving vehicles require video on demand (VOD) services from server. Through the description of real environment based on NS-2 network simulation, we conducted experiments to validate the proposed new architecture. Moreover, we show the feasibility and effectiveness for the connected car media service on highway.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.364-374
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• 2022

Health information systems (HIS) are facing security challenges on data privacy and confidentiality. These challenges are based on centralized system architecture creating a target for malicious attacks. Blockchain technology has emerged as a trending technology with the potential to improve data security. Despite the effectiveness of this technology, still HIS are suffering from a lack of data privacy and confidentiality. This paper presents a blockchain-based data storage security architecture integrated with an e-Health care system to improve its security. The study employed a qualitative research method where data were collected using interviews and document analysis. Execute-order-validate Fabric's storage security architecture was implemented through private data collection, which is the combination of the actual private data stored in a private state, and a hash of that private data to guarantee data privacy. The key findings of this research show that data privacy and confidentiality are attained through a private data policy. Network peers are decentralized with blockchain only for hash storage to avoid storage challenges. Cost-effectiveness is achieved through data storage within a database of a Hyperledger Fabric. The overall performance of Fabric is higher than Ethereum. Ethereum's low performance is due to its execute-validate architecture which has high computation power with transaction inconsistencies. E-Health care system administrators should be trained and engaged with blockchain architectural designs for health data storage security. Health policymakers should be aware of blockchain technology and make use of the findings. The scientific contribution of this study is based on; cost-effectiveness of secured data storage, the use of hashes of network data stored in each node, and low energy consumption of Fabric leading to high performance.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년 춘계학술발표대회 논문집
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• pp.91-94
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• 2009

The purpose of this study is to research the proportion of plans and elevations in traditional architecture for period of Joseon. The collected data of traditional buildings are analyzed for the basic design methods; horizontal factors and vertical factors for floor plans and front elevations. The results of the analysis on this study are as follows. Proportion data of floor plans in traditional architecture is from 1 : 3.8 to 1 : 1.21. Proportion data of front elevations in traditional architecture is from 1 : 8.1 to 1 : 1.03. Average proportion of floor plans in traditional architecture is 1.87. Average proportion of front elevations in traditional architecture is 2.59.

• 한국국방경영분석학회지
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• 제31권2호
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• pp.105-115
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• 2005

To ensure interoperability among TADILs, we need inter-operational system of tactical data link that allows sharing of specific, planned information among different TADILs. In this paper, we have proposed the design of a conceptual software architecture of inter-operational system. For developing of a conceptual software architecture, we analyze the actual condition of ADSI used in the US military and identify functions and quality-attributes. Based on these factors, we design the conceptual software architecture for inter-operational system of tactical data link using Attribute-Driven Design(ADD) method. ADD is consist of three phases - choose the module to decompose, refine the module, repeat the steps for every module that needs further decomposition. To evaluate of ADD results, we apply the Software Architecture Analysis Method(SAAM) which is consist of making evaluation scenarios, choosing indirect scenarios, evaluation scenarios' interaction, and creating an overall evaluation. Through the evaluation, we verify the conceptual software architecture of inter-operational system.

• Smart Structures and Systems
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• 제23권5호
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• pp.507-520
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• 2019

In the structural health monitoring field, damage detection has been commonly carried out based on the structural model and the engineering features related to the model. However, the extracted features are often subjected to various errors, which makes the pattern recognition for damage detection still challenging. In this study, an automated damage identification method is presented for hanger cables in a tied-arch bridge using a convolutional neural network (CNN). Raw measurement data for Fourier amplitude spectra (FAS) of acceleration responses are used without a complex data pre-processing for modal identification. A CNN is a kind of deep neural network that typically consists of convolution, pooling, and fully-connected layers. A numerical simulation study was performed for multiple damage detection in the hangers using ambient wind vibration data on the bridge deck. The results show that the current CNN using FAS data performs better under various damage states than the CNN using time-history data and the traditional neural network using FAS. Robustness of the present CNN has been proven under various observational noise levels and wind speeds.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.893-903
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• 2022

Recently, computer vision (CV)-based safety monitoring (i.e., object detection) system has been widely researched in the construction industry. Sufficient and high-quality data collection is required to detect objects accurately. Such data collection is significant for detecting small objects or images from different camera angles. Although several previous studies proposed novel data augmentation and synthetic data generation approaches, it is still not thoroughly addressed (i.e., limited accuracy) in the dynamic construction work environment. In this study, we proposed a game engine-driven synthetic data generation model to enhance the accuracy of the CV-based object detection model, mainly targeting small objects. In the virtual 3D environment, we generated synthetic data to complement training images by altering the virtual camera angles. The main contribution of this paper is to confirm whether synthetic data generated in the game engine can improve the accuracy of the CV-based object detection model.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제16권4호
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• pp.41-48
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• 2010

Since 1970s' many hospitals have been built due to the economic growth and change of social policy in Korea. But, we had no sufficient data and design guidelines of planning and designing to get good design solutions. From the first paper on the healthcare architecture issued in 1974, many researches have been performed. Researches could be one of the efforts to solve the problems and satisfy the needs of those periods. Researches could reflect the characteristics of healthcare architecture of those periods. So in this paper 267 papers issued between 1974-2009 were analyzed to get the characteristics patterns of research periodically. This paper aims to provide a basic data for studying of history of healthcare architecture in Korea.

• 한국태양에너지학회 논문집
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• 제27권4호
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• pp.157-165
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• 2007

Typical meteorological data is fundamental to computer simulation introduced for environment-friendly architecture designs. Therefore, in order to improve accuracy of computer simulation, typical meteorological data should be established. By examining how to choose typical meteorological data, this study selected the optimized weight factor for TRY where weighting factor was not clearly set. As a result, the same weighting factor was applied to each climatic element and TRY data where the weight factor was applied could have the distribution very similar to measurement data. The weighting factor is considered to reflect geographical characteristics of Seoul and applied climatic elements.