• Title/Summary/Keyword: response database

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A Study on Electric Power Monitoring System per Appliance (기기별 전력 모니터링 시스템 개발에 관한 연구)

  • Park, Sung-Wook;Kim, Jong-Shick;Lim, Su-Jin;HwangBo, Sea-Hee;Son, Joon-Ik;Lee, In-Yong;Wang, Bo-Hyeun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.5
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    • pp.638-644
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    • 2010
  • This paper presents ideas of service scenarios for home residents using electric power monitoring system per appliance, the implementation of the monitoring system, and analysis of acquired electric power usage pattern. By acquiring and analyzing electric power usage pattern, home residents can get information of power usage pattern of every legacy (non-Demand Response-ready) appliance. Further they can get pieces of recommendation how to reduce energy consumption, intelligent standby power blocking service, and alarming service to abnormality of appliances. In order to check the feasibility of the ideas, a system that can acquire electric power pattern per appliance is implemented, and electric power pattern of some appliances are stored to a database and it was analyzed to show if auto-identification of a type of a device is possible, which is a basic required function for the scenarios presented.

A Persistence Framework Based SQL (SQL 기반 퍼시스턴스 프레임워크)

  • Cho, Dongil-Il;Rhew, Sung-Yul
    • The KIPS Transactions:PartD
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    • v.15D no.4
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    • pp.549-556
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    • 2008
  • Web-based Enterprise Intranet System is developed Object-oriented programming language and data management is constructed using RDBMS. Between Object-oriented programming language and RDBMS bring about "Object-Relational Impedance Mismatch" due to heterogeneous paradigm. To solve this kinds of problems commonly use the ORM Framework that it is converting data between incompatible type systems in databases and object-oriented programming languages, uses complex mapping metadata. It causes difficult to develop and maintain because of inflexible in changes. This paper proposed persistence framework that solve the existing complexity of ORM framework and has more flexible in evolution of database table. This persistence framework is unnecessary meta information that connecting with entity of database table and the objects, it offers users convenience of maintenance and it allows far more flexible and affordable systems to be built because of automatically code generation. The result of testing based on the proposed persistence framework with Hibernate, iBATIS, It is similar response time with iBATIS and it has more about three times faster than Hibernate. But iBATIS has problems of mass data processing.

Generation of Artificial Time History Earthquake Record Family using the Least Squares Fitting Method (최소오차 최적합화 방법에 의한 인공 시간이력 지진기록군의 생성)

  • Kim, Yong-Seok
    • Journal of the Earthquake Engineering Society of Korea
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    • v.12 no.5
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    • pp.31-38
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    • 2008
  • Recently the necessity of time history analyses is increasing for the seismic analyses of a structure, and the seismic design provisions of IBC2003, ASCE and KBC2005 require the use of a minimum of seven earthquake records for the time history analyses. Earthquake records for the time history analyses could be selected from the database of the field-measured earthquake records having similar site conditions with the designed site, or from simulated sites satisfying the design spectrum. However, in this study seven earthquake records were generated using 50 earthquake records, classified as records measured at the rock, in the database of the Pacific Earthquake Research Center (PEER). Seven earthquake records were first selected by the least squares fitting method comparing the scaling factored response spectra with the specified design spectrum, and a family of seven artificial time history earthquake records was ultimately generated by multiplying scaling factors, which were calculated by the least squares fitting method and the SRSS averaging method, to the corresponding selected earthquake records.

Cost Model for Parallel Spatial Joins using Fixed Grids (고정 그리드를 이용한 병렬 공간 조인을 위한 비용 모델)

  • Kim, Jin-Deog;Hong, Bong-Hee
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.665-676
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    • 2001
  • The most expensive spatial operation in patial database in a spatial join which computes a combined table of which tuple consists of two tuples of the two tables satisgying a spatial predicate. Although the execution time of sequential processing of a spatial join has been so far considerably improved the response time is not tolerable because of not meeting the requiremetns of interactive users. It is usually appropriate to use parallel processing to improve the performance of spatial join processing. in spatial database the fixed grids which consist of the regularly partitioned cells can be employed the previous works on the spatial joins have not studied the parallel processing of spatial joins using fixed grids. This paper has presented an analytical cost model that estimates the comparative performance of a parallel spatial join algorithm based on the fixed grids in terms of the number of MBR comparisons. disk accesses, and message passing, Several experiments on the synthetic and real datasets show that the proposed analytical model is very accurate. This most model is also expected to used for implementing a very important DBMS component, Called the query processing optimizer.

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Implementation of Web services for Slip Data Process (전표데이터 처리를 위한 웹서비스 구현)

  • 황의철;정민영;정선태
    • The Journal of the Korea Contents Association
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    • v.3 no.2
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    • pp.57-64
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    • 2003
  • A Web Service is an URL addressable set of functionality that is exposed over a network to serve as a building Hock for creating distributed applications. SOAP is a protocol that Web Service consumers often use, when they request and response to a Web Service, and it is a lightweight, XML-based protocol over HTTP for exchange to information in decentralized, distributed environments. A Web Service is very useful forimplementing common functions in especially a large size business area, because it is invoked by a protocol like HTTP or SOAP that we easily use, and by an XML-based data format In this paper, we implement Web Services that process dip data by computers in enterprise accounts in order to enhance the transparency and productivity of enterprises. we analyse the structure of slip data, design dip database, implement stored procedures for manipulating data of slip database, and make thorn controlled by Web Services. The result of this paper will contribute to the standardization and activation of accounting process systems for e-business area.

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The Development and Application of Intelligent Welding Carriage with High Deposition Rate by 3-D Weaving (3차원 위빙 대용착 지능 용접캐리지 개발 및 적용)

  • Kim, Young-Zoo;Cho, Bang-Hyun;Amit, Amit;Lee, Sang-Bum;Lee, Weon-Gu;Kim, Jin-Yong;Huh, Man-Joo
    • Journal of Welding and Joining
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    • v.28 no.2
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    • pp.32-38
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    • 2010
  • In shipbuilding industry, welding position are usually flat and vertical position at the erection stage. Application of SAW and EGW for these positions makes it possible to achieve enhanced productivity and high quality. But owing to their large size and weight it is difficult to apply these techniques in short and narrow regions. To overcome this problem, our company developed light weight and compact size 4-axis welding carriage which perform 3D weaving. The purpose of this study is to explain the development and application of intelligent welding carriage using 3D weaving pattern that can fill a large amount of welds and thereby making it possible to achieve high quality of welding. This study shows 3D weaving pattern, development of weaving database, and skill of adaptive control response for the variable gap. Also, it shows the results of procedure qualification test for the AH-grade steel when applied to the intelligent welding carriage.

Preliminary tests of a damaged ship for CFD validation

  • Lee, Sung-Kyun;You, Ji-Myoung;Lee, Hyun-Ho;Lim, Tae-Gu;Rhee, Shin-Hyung;Rhee, Key-Pyo
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.4 no.2
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    • pp.172-181
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    • 2012
  • One of the most critical issues in naval architecture these days is the operational safety. Among many factors to be considered for higher safety level requirements, the hull stability in intact and damaged conditions is the first to ensure for both commercial and military vessels. Unlike the intact stability cases, the assessment of the damaged ship stability is very complicated physical phenomena. Therefore it is widely acknowledged that computational fluid dynamics (CFD) methods are one of most feasible approaches. In order to develop better CFD methods for damaged ship stability assessment, it is essential to perform well-designed model tests and to build a database for CFD validation. In the present study, free roll decay tests in calm water with both intact and damaged ships were performed and six degree-of-freedom (6DOF) motion responses of intact ship in regular waves were measured. Through the free roll decay tests, the effects of the flooding water on the roll decay motion of a ship were investigated. Through the model tests in regular waves, the database that provides 6DOF motion responses of intact ship was established.

Design of A IoT Platform Based on CQRS Pattern to Accommodate Various Requirements and Improve Data Query Performance (다양한 요구사항 수용 및 데이터 조회 성능 향상을 위한 CQRS 패턴 기반의 사물인터넷 플랫폼 설계)

  • Jeon, Cheol-Ho;Jeon, Hyeon-Sig;Park, Hyun-Ju
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1539-1545
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    • 2020
  • With the advent of the ubiquitous era due to the development of science and technology in the modern society, interest in data generated in the IoT environment has increased socially. However, the existing IoT platform has difficulties in processing inquiry requests that require large amounts of throughput, such as statistical processing of large amounts of data. Accordingly, in this paper, we propose an IoT platform that can flexibly accommodate requirements for inquiry requests and improve inquiry performance. The platform proposed in this paper showed a performance improvement of about 1200 times in terms of average response time by introducing a separate read database. By separating the object model into a command side and a query side, the complexity of the object is reduced to meet the various demands on the platform. It was made to allow quick acceptance of the matter.

A modification of the rip current warning system utilizing real-time observations: a database function of likelihood distributions (실시간 관측정보를 이용한 이안류 경보체계 개선 연구: 발생정도 DB함수의 활용)

  • Choi, Junwoo
    • Journal of Korea Water Resources Association
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    • v.55 no.10
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    • pp.843-854
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    • 2022
  • For the rip current warning system to reduce rip-current accidents, the implementation method producing the risk index was modified. To produce fast response from the warning system based on real-time observations, the method employed the numerical results (i.e., rip current likelihoods according to the possible scenario) obtained in advance. In this study, instead of using the empirical curve-fitting functions of the previous method, the present modification utilized two-dimensional distributions (i.e., wave height and period, wave height and tidal elevation, wave height and direction, wave height and spreading of frequency-directional spectrum) of rip current likelihoods stacked in a database of the system. The wave and tidal observations in 2021 at the Haeundae coast were applied to the modified system, and its performances at several real events recorded in CCTV images were presented.

Nuclear Power Plant Severe Accident Diagnosis Using Deep Learning Approach (딥러닝 활용 원전 중대사고 진단)

  • Sung-yeop, Kim;Yun Young, Choi;Soo-Yong, Park;Okyu, Kwon;Hyeong Ki, Shin
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.95-103
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    • 2022
  • Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.