• Title/Summary/Keyword: Efficient usage

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Study on Energy Efficiency Improvement in Manufacturing Core Processes through Energy Process Innovation (에너지 프로세스 혁신을 통한 제조 핵심 공정의 에너지 효율화 방안 연구)

  • Sang-Joon Cho;Hyun-Mu Lee;Jin-Soo Lee
    • Journal of Advanced Technology Convergence
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    • v.2 no.4
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    • pp.43-48
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    • 2023
  • Globally, there is a collaborative effort to achieve global carbon neutrality in response to climate change. In the case of South Korea, greenhouse gas emissions are rapidly increasing, presenting an urgent situation that requires resolution. In this context, this study developed a thermal energy collection device named a 'steam trap' and created an AI model capable of predicting future electricity usage by collecting energy usage data through steam traps. The average accuracy of electricity usage prediction with this AI model was 96.7%, demonstrating high precision. Consequently, the AI model enables the prediction and management of days with high electricity consumption and identifies which facilities contribute to elevated power usage. Future research aims to optimize energy consumption efficiency through efficient equipment operation using anomaly detection in steam traps and standardizing energy management systems, with the ultimate goal of reducing greenhouse gas emissions.

Design and Implementation of Query Classification Component in Multi-Level DBMS for Location Based Service (위치기반 서비스를 위한 다중레벨 DBMS에 질의 분류 컴포넌트의 설계 및 구현)

  • Jang Seok-Kyu;Eo Sang Hun;Kim Myung-Heun;Bae Hae-Young
    • The KIPS Transactions:PartD
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    • v.12D no.5 s.101
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    • pp.689-698
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    • 2005
  • Various systems are used to provide the location based services. But, the existing systems have some problems which have difficulties in dealing with faster services for above million people. In order to solve it, a multi-level DBMS which supports both fast data processing and large data management support should be used. The multi-level DBMS with snapshots has all the data existing in disk database and the data which are required to be processed for fast processing are managed in main memory database as snapshots. To optimize performance of this system for location based services, the query classification component which classifies the queries for efficient snapshot usage is needed. In this paper, the query classification component in multi-level DBMS for location based services is designed and implemented. The proposed component classifies queries into three types: (1) memory query, (2) disk query, (3) hybrid query, and increases the rate of snapshot usage. In addition, it applies division mechanisms which divide aspatial and spatial filter condition for partial snapshot usage. Hence, the proposed component enhances system performance by maximizing the usage of snapshot as a result of the efficient query classification.

Trellis-Based Decoding of High-Dimensional Block Turbo Codes

  • Kim, Soo-Young;Yang, Woo-Seok;Lee, Ho-Jin
    • ETRI Journal
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    • v.25 no.1
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    • pp.1-8
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    • 2003
  • This paper introduces an efficient iterative decoding method for high-dimensional block turbo codes. To improve the decoding performance, we modified the soft decision Viterbi decoding algorithm, which is a trellis-based method. The iteration number can be significantly reduced in the soft output decoding process by applying multiple usage of extrinsic reliability information from all available axes and appropriately normalizing them. Our simulation results reveal that the proposed decoding process needs only about 30% of the iterations required to obtain the same performance with the conventional method at a bit error rate range of $10^{-5}\;to\;10^{-6}$.

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A Study on the Satellite Orbital Positioning Method for Efficient Orbit Utilization (궤도자원의 효율적인 활용을 위한 위성궤도 선정 기법에 관한 연구)

  • 권태곤;박세경김재명
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.147-150
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    • 1998
  • To determine the satellite orbital positions under consideration of interference caused by inter-satellite systems is one of the most important issues in terms of optimal usage of satellite network resources. In this paper, we present the orbital positioning method for a new satellite to minimize inter-satellite system interference effect in the fixed satellite communication using a new method. Through the computer simulation, it is clear that the proposed method is suitable to determine the satellite orbital positions.

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Analysis of IP Subnet Allocation Method for Access Network in a Broadband Trial Network (초고속시범망 엑세스 네트워크의 IP 서브넷 할당방식 분석)

  • 이운영;임병학오채형이정수
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.11-14
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    • 1998
  • Recently, the users of internet are increasing yearly with the rapid spread of internet. So, the shortage of IPv4 address is important issue to ISP. Many ISP is searching for efficient method to use IP address in ATM Network. Korea Telecom has constructed ATM Network test-bed to verify available technologies necessary for ATM Network. This paper, concerning with the configuration of subscribers in ATM Network test bed, analyze the available usage of IP address.

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Fast and Memory Efficient Method for Optimal Concurrent Fault Simulator (동시 고장 시뮬레이터의 메모리효율 및 성능 향상에 대한 연구)

  • 김도윤;김규철
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.719-722
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    • 1998
  • Fault simulation for large and complex sequential circuits is highly cpu-intensive task in the intergrated circuit design process. In this paper, we propose CM-SIM, a concurrent fault simulator which employs an optimal memory management strategy and simple list operations. CM-SIM removes inefficiencies and uses new dynamic memory management strategies, using contiguous array memory. Consequently, we got improved performance and reduced memory usage in concurrent fault simulation.

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An Improvement of System Performance by Usage Efficient Buffer in Multimedia Server (멀티미디어 서버 버퍼의 효율적인 사용에 의한 시스템의 성능개선)

  • 강신각;이대식;이재영
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10c
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    • pp.75-77
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    • 1999
  • 멀티미디어 데이터를 제공하는 서버 시스템에 동시에 여러 사용자가 요청을 해 왔을 때 데이터의 특성을 고려해서 적당한 지연시간을 줌으로 해서 시스템의 버퍼를 효율적으로 사용하게 하여 시스템의 성능을 향상시킨다. 다양한 데이터를 제공함에 있어서 시간에 따른 버퍼의 사용량의 변화를 보면 멀티미디어 데이터가 아닌 일반 데이터의 경우와 다르게 비효율적인 면을 볼 수 있다. 이 비효율적인 면을 시간과 버퍼의 크기를 서로 교환함으로서 버퍼의 사용량을 27%정도 줄이는 모델을 제시한다.

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An Algorithm to Insert Safe Deallocations for Efficient Memory Usage (효율적인 메모리 사용을 위한 free 명령어 삽입 알고리즘)

  • 이욱세
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.655-657
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    • 2002
  • 메모리 반납(deallocation) 명령어는 프로그램에게 할당된 힙 셀(heap cell)을 반납하는 명령어로 힙 사용량을 낮추어 주지만, 잘못된 반납으로 인해 심각한 오류를 일으킬 수 있다. 본 논문에서는 재귀적인 자료구조(recursive data structure),를 안전하게 반납하는 명령어를 삽입하는 알고리즘을 제시한다. 메모리의 모양새를 분석하고 나중에 쓰이지 않을 힙 셀들을 추정하여 반납 명령어를 삽입한다. 분석시 요약 수준을 적절히 조절함으로써 빠르면서도 정확하게 분석한다. 또한, 실행시간에 부가적인 정보를 전달하여 일찍 힙 셀을 반납할 수 있도록 한다. 제시한 알고리즘으로 메모리 반납을 하지 않는 프로그램에 반납 명령어를 삽입하여 전체 메모리 할당량의 5.2-98.7%를 반납할 수 있었다.

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Thermodynamic Consideration for SiC synthesis by Using Sludged Silicon Powder (폐슬러지를 이용한 SiC 합성에 관한 열역학적 고찰)

  • 최미령;김영철
    • Journal of the Semiconductor & Display Technology
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    • v.2 no.1
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    • pp.21-24
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    • 2003
  • Sludged silicon powders that are generated during silicon ingot slicing process have potential usage as silicon source in fabricating silicon carbide powders by adding carbon. A thermodynamic calculation is performed to consider a plausible formation condition for the silicon carbide powders. A thin silicon oxide layer around silicon powder is sufficient to supply equilibrium oxygen partial pressure at the formation temperature($1400^{\circ}C$) of the silicon carbide in the Si-C-O ternary system. Formation of silicon carbide by using the sludged silicon powders is more efficient than by using silicon oxide powders.

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Mixed Effects Kernel Binomial Regression

  • Hwang, Chang-Ha
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1327-1334
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    • 2008
  • Mixed effect binomial regression models are widely used for analysis of correlated count data in which the response is the result of a series of one of two possible disjoint outcomes. In this paper, we consider kernel extensions with nonparametric fixed effects and parametric random effects. The estimation is through the penalized likelihood method based on kernel trick, and our focus is on the efficient computation and the effective hyperparameter selection. For the selection of hyperparameters, cross-validation techniques are employed. Examples illustrating usage and features of the proposed method are provided.

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