• Title/Summary/Keyword: saving decision

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Distributed Dynamic Lighting Energy Management System based on Zigbee Mesh Network (지그비 메쉬망 기반 분산형 동적 에너지 관리 시스템)

  • Kim, Sam-Taek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.85-91
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    • 2014
  • Nowadays, Dynamic lighting control and management skills are studied and used. If the system which is to manage multiple intelligent spot applied ubiquitous service technology is built with decision making and used in the complex intelligent space like a apartment then will improve energy efficiency and provide comfortability in optimal conditions. To solve this problem distributed autonomous control middleware and energy management system which process data gathering by zigbee mesh network and search proper services to save energy by the existing state of things is necessary. In paper we designed DDLEMS (Distributed Dynamic Lighting Energy Management System) that is to service duplex communication embedded by software based home server platform to provide mobile services in the smart place and support decision making about energy saving to the best use of wireless censor node and controled network, energy display devices.

Fast CU Decision Algorithm using the Initial CU Size Estimation and PU modes' RD Cost (초기 CU 크기 예측과 PU 모드 예측 비용을 이용한 고속 CU 결정 알고리즘)

  • Yoo, Hyang-Mi;Shin, Soo-Yeon;Suh, Jae-Won
    • Journal of Broadcast Engineering
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    • v.19 no.3
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    • pp.405-414
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    • 2014
  • High Efficiency Video Coding(HEVC) obtains high compression ratio by applying recursive quad-tree structured coding unit(CU). However, this recursive quad-tree structure brings very high computational complexity to HEVC encoder. In this paper, we present fast CU decision algorithm in recursive quad-tree structure. The proposed algorithm estimates initial CU size before CTU encoding and checks the proposed condition using Coded Block Flag(CBF) and Rate-distortion cost to achieve the fast encoding time saving. And, intra mode estimation is also possible to be skipped using the CBF values acquired during the inter PU mode estimations. Experiment results shows that the proposed algorithm saved about 49.91% and 37.97% of encoding time according to the weighting condition.

THE DECISION OF OPTIMUM BASIS FUNCTION IN IMAGE CLASSIFICATION BASED ON WAVELET TRANSFORM

  • Yoo, Hee-Young;Lee, Ki-Won;Jin, Hong-Sung;Kwon, Byung-Doo
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.169-172
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    • 2008
  • Land-use or land-cover classification of satellite images is one of the important tasks in remote sensing application and many researchers have been tried to enhance classification accuracy. Previous studies show that the classification technique based on wavelet transform is more effective than that of traditional techniques based on original pixel values, especially in complicated imagery. Various wavelets can be used in wavelet transform. Wavelets are used as basis functions in representing other functions, like sinusoidal function in Fourier analysis. In these days, some basis functions such as Haar, Daubechies, Coiflets and Symlets are mainly used in 2D image processing. Selecting adequate wavelet is very important because different results could be obtained according to the type of basis function in classification. However, it is not easy to choose the basis function which is effective to improve classification accuracy. In this study, we computed the wavelet coefficients of satellite image using 10 different basis functions, and then classified test image. After evaluating classification results, we tried to ascertain which basis function is the most effective for image classification. We also tried to see if the optimum basis function is decided by energy parameter before classifying the image using all basis function. The energy parameter of signal is the sum of the squares of wavelet coefficients. The energy parameter is calculated by sub-bands after the wavelet decomposition and the energy parameter of each sub-band can be a favorable feature of texture. The decision of optimum basis function using energy parameter in the wavelet based image classification is expected to be helpful for saving time and improving classification accuracy effectively.

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An Exploratory Study on the Role of Disaster Managers - Based on disaster management officers at the local government - (재난관리자의 역할에 관한 탐색적 연구 - 지방자치단체의 재난관리 실무책임자를 중심으로 -)

  • Bang, Ki Sung
    • Journal of Korean Society of Disaster and Security
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    • v.5 no.2
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    • pp.35-42
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    • 2012
  • Despite the importance of disaster management officers of disaster management agencies at the local government to protect the lives of civilians and their properties, there is a lack of research or literature in their roles and responsibilities. In fact, there is a urgent need to set clear roles and responsibilities for them. This study scrutinizes how to disaster managers should behave in specific setting that differentiates from other administrative managers based on domestic and foreign literature review. Although, the role of disaster manager seem to be similar to administrative manager, there are some differences particularly in the areas that disaster manager has to work as an expert in saving lives and properties that has to be further emphasized. When working on disaster management process of prevention and resoration, the key task are based on mid and low level officers. On the other hand, preparedness and response process that involve rapid decision making and cooperation with other department, persuasion of local residents and resource pooling are carried out by mid and high level managers because it requires control capacity and decision making skills.

Hierarchical Power Management Architecture and Optimal Local Control Policy for Energy Efficient Networks

  • Wei, Yifei;Wang, Xiaojun;Fialho, Leonardo;Bruschi, Roberto;Ormond, Olga;Collier, Martin
    • Journal of Communications and Networks
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    • v.18 no.4
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    • pp.540-550
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    • 2016
  • Since energy efficiency has become a significant concern for network infrastructure, next-generation network devices are expected to have embedded advanced power management capabilities. However, how to effectively exploit the green capabilities is still a big challenge, especially given the high heterogeneity of devices and their internal architectures. In this paper, we introduce a hierarchical power management architecture (HPMA) which represents physical components whose power can be monitored and controlled at various levels of a device as entities. We use energy aware state (EAS) as the power management setting mode of each device entity. The power policy controller is capable of getting information on how many EASes of the entity are manageable inside a device, and setting a certain EAS configuration for the entity. We propose the optimal local control policy which aims to minimize the router power consumption while meeting the performance constraints. A first-order Markov chain is used to model the statistical features of the network traffic load. The dynamic EAS configuration problem is formulated as a Markov decision process and solved using a dynamic programming algorithm. In addition, we demonstrate a reference implementation of the HPMA and EAS concept in a NetFPGA frequency scaled router which has the ability of toggling among five operating frequency options and/or turning off unused Ethernet ports.

An Implementation of the Disaster Management Systems on the Space and Terrestrial System Damages by Solar Maximum (태양폭풍 영향 우주 및 육상시스템 피해에 관한 재난안전정보시스템 구현)

  • Oh, Jongwoo
    • Journal of the Society of Disaster Information
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    • v.8 no.4
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    • pp.419-431
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    • 2012
  • This paper takes precautions proposals against prospective disasters from the space weather maximum in 2013. A geomagnetic space storm sparked by a solar maximum like the one that flared toward earth is bound to strike again and could wreak havoc across the modern world. The purpose of the study is that the disaster reduction and safety service implementation study on the ultimate space weather systems by the information systems of the space weather. The process methods of the study are that an implementation of preparation for the smart IT and GIS based disaster management systems of the solar maximum deal with analysis on the flare, solar proton event, and geomagnetic storm from space blasters, These approach and methods for the solar maximin display national policy implementation of the pattern of the radio wave disasters from the protection and preparation methods. This research can provide affective methods for the saving lives and property protections that implementation of the disaster prediction and disaster prevention systems adapts the smart IT systems and converged decision making support systems using uGIS methodology.

A Study on Optimized Decision Model for Transfer Crane Operation in Container Terminal (컨테이너터미널 트랜스퍼 크레인의 배정 및 이동경로 최적화 모델)

  • Shin, Jeong-Hoon;Yu, Song-Jin;Chang, Myung-Hee
    • Journal of Navigation and Port Research
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    • v.32 no.6
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    • pp.465-471
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    • 2008
  • As the excessive competition between container terminals has been deepening, not only productivity, but also cost economic of the terminals has been raised. With regard to this, the competitiveness of the terminals is limited because of inefficiency operation of transfer crane(T/C) which needs large amount of energy consumption. Therefore, it is possible that the improvement in the T/C operation leads to saving cost for resources and energy as well as increasing the productivity of the terminals. This study provides 'the K-Means Clustering based Optimized Decision Model for Transfer Crane Operation', referring to 'RFID & RTLS based Port Logistics Initiative' of Ministry of Land, Transportation and Maritime Affairs and estimates the efficiency through simulating.

Appliance identification algorithm using multiple classifier system (다중 분류 시스템을 이용한 가전기기 식별 알고리즘)

  • Park, Yong-Soon;Chung, Tae-Yun;Park, Sung-Wook
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.4
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    • pp.213-219
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    • 2015
  • Real-time energy monitoring systems is a demand-response system which is reported to be effective in saving energy up to 12%. Real-time energy monitoring system is commonly composed of smart-plugs which sense how much electrical power is consumed and IHD(In-Home Display device) which displays power consumption patterns. Even though the monitoring system is effective, users should themselves match which smart plus is connected to which appliance. In order to make the matching work to be automatic, the monitoring system need to have appliance identification algorithm, and some works have made under the name of NILM(Non-Intrusive Load Monitoring). This paper proposed an algorithm which utilizes multiple classifiers to improve accuracy of appliance identification. The algorithm proposes to understand each classifiers performance, that is, when a classifier make a result how much the result is reliable, and utilize it in choosing the final result among result candidates from many classifiers. By using the proposed algorithm this paper make 4.5% of improved accuracy with respect to using single best classifier, and 2.9% of improved accuracy with respect to other method using multiple classifiers, so called CDM(Commitee Decision Mechanism) method.

Analysis on Effect of TCP Retransmission to Energy Consumption on End-to-End Data Transfer (TCP 재전송이 종단간 데이터 전송 에너지 소모량에 미치는 영향 분석)

  • Seok, Woojin;Choi, Wonjun;Kwak, Jaiseung;Lee, Manhee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.8
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    • pp.950-953
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    • 2016
  • A packet loss caused TCP segment drop and retransmission. This makes the energy useless, which is consumed to deliver the whole packets of the dropped segment over many hops. In this paper, end-to-end TCP retramission will be analyzed for the effect to energy consumed for delivering data. Especially, this paper will compare and analyze the legacy TCP method and Store-and-Forward method, and the method of computing the energy efficiency to transmission loss. This paper expects that the proposed method can contribute to new energy saving decision or algorithm on diverse data transmission situation.

Development of TP-SD Methodology-based Simulation Models to Improve Multimodal Transport Systems for Sustainable Logistics (지속가능 물류를 위한 TP-SD 방법론 기반의 복합운송체계 시뮬레이션 모델 개발)

  • Jung, Jae-Un;Kim, Hyun-Soo;Choi, Hyung-Rim;Hong, Soon-Goo
    • Korean System Dynamics Review
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    • v.11 no.2
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    • pp.45-75
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    • 2010
  • Today, the logistics industry has played a critical role in national economy activities. The low cost and high efficiency of the logistics industry are meaningful in the improvement of national competitiveness and the logistics industry. However, efficiency of logistics is lower than that of the United States and Japan since most quantities are processed in road transportation in Korea. With regard to this, existing studies expected a saving of social and environmental costs due to a decrease of road transportation as well as improvement of logistics productivity due to bulk transportation through activation of rail and costal transport. For the expectation, the existing multimodal transport systems should be improved first. Therefore it aimed to develop scenario-based simulation models of multimodal transport systems for decision makers in charge of improvement in the logistics area. For model development, this study utilized Thinking Process and System Dynamics(TP-SD) methodology.

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