• Title/Summary/Keyword: 성능계약

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Forecasting Spot Freight Rate in LNG Market (LNG 운송시장의 스팟운임 예측 연구)

  • Lim, Sangseop;Kim, Seok-Hun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.325-326
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    • 2021
  • LNG는 환경규제에 따라 화석에너지에서 친환경 재생에너지로 전환되는데 중요한 역할을 하는 에너지원이다. UN산하 세계해사기구(IMO)의 MARPOL협약에 따라 선박 황산화물 배출가스규제로 LNG추진 선박에 대한 수요가 증가되고 있을 뿐만 아니라 미국의 쉐일혁명으로 LNG를 수출함에 따라 공급의 변화가 급격하게 이뤄지고 있다. 과거 국가 주도의 프로젝트 성격이 강한 LNG 운송시장은 장기정기용선계약이 대부분이었으나 수요와 공급시장의 급격한 변화로 스팟시장의 중요성이 커지고 있다. 따라서 본 논문은 LNG 운송시장에서 시장참여자들의 스팟거래에 합리적인 의사결정이 이뤄지도록 과학적인 예측방법을 제시하고자 한다. LNG 스팟운임 예측에 기계학습모델 중 인공신경망 모델을 적용할 것이며 기존의 시계열분석 방법인 ARIMA모델과 비교하여 본문에서 제시된 모델의 예측성능의 우수성을 확인하였다. 본 논문은 LNG 스팟운임을 다룬 최초의 연구로서 학문적인 차별성이 기대된다.

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Study on the Performance Analysis of Push-Pull Strategy by Multicharts' Portpolio (멀티차트 포트폴리오를 이용한 푸쉬풀 전략의 성능 분석에 관한 연구)

  • Ko, Young-Hoon;Kim, Yoon-Sang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.317-324
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    • 2010
  • This paper analyses the performance of push-pull strategy by Multicharts' portpolio tool. This strategy decreases a risk of option sell by moving an exercise price to outward and compensates the profit by doubling contracts. This strategy also makes risk-free option sell to move inward for earning gain. This strategy basically uses several symbols. And this feature makes impossible to use a portpolio tool. However, This paper provides the method to use it with extracting intrinsic data from a symbolname. As an experiment for one month of september experiment options, it shows 1.5 million won in case of 5-displace and also shows 32 million won in case of 2.5-displace. If a Margin is enough, this strategy always earns profit, but it's difficult to be applicated in real trades because of a margin risk.

Recommended Practice for a Reasonable Power Density end Analysis of Power Consumption Capacity for the year in Large-scale Buildings (대형 건물의 연간 전기에너지 사용총량 및 전력원단위 분석에 관한 연구)

  • Kim, Se-Doug;Yoo, Sang-Bong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.6
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    • pp.85-88
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    • 2009
  • This paper shows a reasonable power density, that was made by the systematic and statistical way considering actual conditions, such as investigated power consumption capacity for the year and peak power, contract power for the last 5 years of each customer for 23 general customers all data obtained by AMR. In this dissertation, it is necessary to analyze the key features from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and load factor.

SLA (Service Level Agreement) Metrics in IT Operation Outsourcing (정보체계 운영 아웃소싱에 있어서의 서비스 수준 측정 메트릭)

  • 김용수
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.2
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    • pp.69-79
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    • 2004
  • For the successful IT operation outsourcing there need appropriate metrics on which both of the service clients and provider agree. The metrics are used to set up the service level objectives, which are manifested in the service level agreement with price. A study of metrics is necessary for the following reasons: First, most of the metrics used today were introduced in the early years of computers and are not satisfactory to both of the service providers and clients. Second, metrics represent the performance of system components but not end-user satisfaction. Third, because the service provider leads the outsourcing agreement, the objectives are specified more favorable to the provider. The objectives should be based on metrics that both sides fully understand and agree on.

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A Three-Color Marking Mechanism for Fairness Improvement in the Assured Service of the Diffserv Network (차등 서비스 네트워크의 확신 서비스에서 공평성 향상을 위한 3색 마킹 메커니즘)

  • 모상덕;정광수
    • Journal of KIISE:Information Networking
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    • v.30 no.6
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    • pp.764-775
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    • 2003
  • Previous works for the assured service in the Diffserv network have no sufficient consideration on the fairness of bandwidth share based on RTTs and the target rates of TCP flows. In this paper, in order to solve these problems, we propose a TRA3CM(Target rate and RTT Aware 3 Color Marking) mechanism. The TRA3CM mechanism provides three color marking and fair transmission rates among aggregate flows by considering RTT and target rate simultaneously. In case of higher target rate than bottleneck bandwidth, the TRA3CM mechanism is able to mitigate the RTT effect and provides fair transmission rates. In the results of comparing the performance among existing mechanisms and the TRA3CM, the TRA3CM mechanism was able to mitigate the RTT effect better than the former. The TRA3CM is shown to provide good performance for transmission rates proportional to various target rates.

Development Process and Field Application Performance Analysis for Rebar Reinforcing Clips (RCC Device) to Improve Workability of 135 Degree Standard Hook (135°표준갈고리 작업성 향상을 위한 철근보강클립 (RCC장치) 개발과정 및 현장적용 성과분석)

  • Kim, Yongjoo;Kim, Eunyoung;Song, Hwajun;Park, Kyoungyeun
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.6
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    • pp.138-146
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    • 2021
  • 135 Degree standard hook workability crossed in the Reinforced Concrete (RC) Structure is improved and it reinforces in one side 90° hook binding. As a result, we proposed a One-touch Rebar Reinforcing Clip(RCC Device) that demonstrates the same performance as the 135° standard hook. It was developed through the evaluation of construction and economic analysis. As a result of analyzing 13 sites applied from June 2020, As expected, most of the cases were applied to the structural supervision or the point of the construction supervisor as an irresistible measure. therefore, Through field performance analysis, Various methods such as the method that the original contractor first purchases and then provides after contract with the partner company were proposed for the use of efficient and voluntary reinforcing clip. As a result, It is expected that the contribution in the field will be very high in terms of quality and process management through active utilization.

An Analysis of the Key Factors Affecting Apartment Sales Price in Gwangju, South Korea (광주광역시 아파트 매매가 영향요인 분석)

  • Lim, Sung Yeon;Ko, Chang Wan;Jeong, Young-Seon
    • Smart Media Journal
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    • v.11 no.3
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    • pp.62-73
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    • 2022
  • Researches on the prediction of domestic apartment sales price have been continuously conducted, but it is not easy to accurately predict apartment prices because various characteristics are compounded. Prior to predicting apartment sales price, the analysis of major factors, influencing on sale prices, is of paramount importance to improve the accuracy of sales price. Therefore, this study aims to analyze what are the factors that affect the apartment sales price in Gwangju, which is currently showing a steady increase rate. With 6 years of Gwangju apartment transaction price and various social factor data, several maching learning techniques such as multiple regression analysis, random forest, and deep artificial neural network algorithms are applied to identify major factors in each model. The performances of each model are compared with RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and R2 (coefficient of determination). The experiment shows that several factors such as 'contract year', 'applicable area', 'certificate of deposit', 'mortgage rate', 'leading index', 'producer price index', 'coincident composite index' are analyzed as main factors, affecting the sales price.

A Study on Blockchain Adoption in Retail Supply Chain Management (소매 공급망 관리에서 블록체인 활용에 관한 연구)

  • Shipra Pathak;Charu Saxena;Kyung-Sil Kim
    • Advanced Industrial SCIence
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    • v.2 no.2
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    • pp.1-8
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    • 2023
  • The goal of the study is to describe blockchain technology as it relates to enhancing supply chains in the retail sector in order to achieve sustainability. This study offers a critical analysis of the possible applications of blockchain technology and smart contracts to supply chain management. This paper explains how Blockchain technology may be used by customers and merchants in a variety of retail business operations to great advantage. By adopting a modified version of the UTUAT model, this study validates the possibility of using blockchain for supply chain management in the retail industry. The study found a significant and positive correlation between behavioral intention and acceptance toward employing block networks in supply chain management in the retail business. The behavior intention (BI) to adopt blockchain technology is significantly influenced by performance expectations, effect expectations, subjective standards, and enabling variables. The performance and effort expectations have a considerable impact on the BI to adopt blockchain in supply chain management.

Analysis of an OFDM Transmission Scheme Using Groupwise Variable Length OCM (그룹별 가변 길이 직교코드 다중화를 이용한 OFDM 전송방식의 성능분석)

  • 권기범;오성근;선우명훈
    • Proceedings of the IEEK Conference
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    • 2003.07a
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    • pp.450-453
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    • 2003
  • 본 논문에서는 그룹별 가변 길이 직교코드 다중화를 이용한 OFDM (orthogonal frequency division multiplexing) 전송방식의 제안하고, 그룹별로 동일한 부반송파 개수를 가정하여 코드 길이에 따른 시스템 성능과 복잡도를 분석함으로써 최적의 시스템 파라미터들을 결정한다. 제안된 방식에서는 상호 상관성이 낮은 부반송파들로 동일 반송파 그룹으로 구분함으로써 부반송파 전체를 다수의 부반송파 그룹으로 나누고, 그룹마다 부반송파 개수와 동일한 길이의 직교코드들을 사용하여 다중화하여 전송한다. 따라서, 제안된 시스템을 사용하면 적절한 시스템 파라미터의 선정을 통하여 부반송파 전체를 하나의 그룹으로 하는 기존의 직교코드 다중화 방식에[2] 비하여 다이버시티 이득은 유지하면서 시스템 복잡도를 크게 줄일 수 있다. 또한, 제안된 직교코드 다중화 전송방식에서는 수신기에서 직교코드들간의 직교성 복원이 필수적이며, 수신기에서 불완전한 채널등화는 인접한 직교코드들 간에 상호 간섭을 유발하는 요인이 된다. 따라서, 채널추정 오류의 정도가 증가함에 따라 직교코드들 간의 상호 간섭으로 인하여 증가하는 비트오류를 줄이기 위하여 채널추정 오류의 정도에 따라 블록길이와 블록 인터리버 구조를 조절하여 시스템을 최적화 한다. 가변 길이 직교코드로는 길이에 상관 없이 직교성을 유지하며 에너지의 균등 분배가 가능한 DFT (discrete Fourier transform) 코드를 사용한다. 최적 시스템 파라미터를 결정하기 위하여 모의실험을 통하여 코드 길이에 따른 시스템 성능을 분석한다. 또한, 채널추정 오류가 존재하는 경우에 시스템 성능을 분석한다. 마지막으로, 채널 부호화를 적용하는 경우에 시스템 파라미터들을 최적화함으로써 부호화 이득이 시스템 성능과 시스템 복잡도 감소, 채널추정 오류의 극복에 미치는 영향을 분석한다. nature, in contrast to physical theories that are of a geometrical nature. An application to the interpretation of intelligence is proposed, based on the "intelligence"of movement. Co layer from 1.4 to 1.6 nm was measured to be ranged from 0.004 to 0.021 ${\AA}$$\^$-1/.문에 기업간 관계를 연구하는 측면에서는 탐험적 연구성격이 강하다. 더 나아가 본 산업의 주된 연구가 질적이고 기업내부만을 연구했던 것에 비교하면 시초적이라고 할 수 있다. 또한 관계마케팅, CRM 등의 이론적 배경이 되고 있는 신뢰와 결속의 중요성이 재확인하는 결과도 의의라고 할 수 있다. 그리고 신뢰는 양사 간의 상호관계에서 조성될 수 있는 특성을 가진 반면, 결속은 계약관계 초기단계에서 성문화하고 규정화 할 수 있는 변수의 성격이 강하다고 할 수가 있다. 본 연구는 복잡한 기업간 관계를 지나치게 협력적 측면에서만 규명했기 때문에 많은 측면을 간과할 가능성이 있다. 또한 방법론적으로 일방향의 시각만을 고려했고, 횡단적 조사를 통하고 국내의 한 서비스제공업체와 관련이 있는 컨텐츠 공급파트너만의 시각을 검증했기 때문에 해석에서 유의할 필요가 있다. 또한 타당성확보 노력을 기하였지만 측정도구 면에서 엄격한 개발과정을 준수하지는 못했다. 향후에는 모바일 컨텐츠 파트너의 기업의 특성을 조사하여 관계성 변수와의 상호관련연구를 진행할 필요가 있다. 관계기간, 의존성, 거래처의 단/복수여부, 서비스 범주 등의 제반 변수를 고려하여 이러한 변수가 양사와의 관계성 변수에 어떤 영향이 있는가를 검증할 필요가 있다. 또한 신뢰,

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Minimizing the Risk of an Open Computing Environment Using the MAD Portfolio Optimization (최적포트폴리오 기법을 이용한 개방형 전산 환경의 안정성 확보에 관한 연구)

  • Kim, Hak-Jin;Park, Ji-Hyoun
    • Journal of Intelligence and Information Systems
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    • v.15 no.2
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    • pp.15-31
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    • 2009
  • The next generation IT environment is expected to be an open computing environment based on Grid computing technologies, which allow users to access to any type of computing resources through networks. The open computing environment has benefits in aspects of resource utilization, collaboration, flexibility and cost reduction. Due to the variation in performance of open computing resources, however, resource allocation simply based on users' budget and time constraints often fails to meet the Service Level Agreement(SLA). This paper proposes the Mean-Absolute Deviation(MAD) portfolio optimization approach, in which service brokers consider the uncertainty of performance of resources, and compose resource portfolios that minimize the uncertainty. In order to investigate the effect of this approach, we simulate an open computing environment with varying uncertainty levels, users' constraints, and brokers' optimization strategies. The simulation result concludes threefolds. First, the MAD portfolio optimization improves the success ratio of delivering the required performance to users. Second, the success ratio depends on the accuracy in predicting the variability of performance. Thirdly, the measured variability can also help service brokers expand their service to cost-critical users by discounting the access cost of open computing resources.

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