• Journal of Broadcast Engineering
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• v.14 no.4
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• pp.450-462
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• 2009

So far, many methods for segmenting single images or video have been proposed, but few methods have dealt with multiple images with analogous content. These images, which we term consistent scene images, include concurrent images of a scene and gathered images of a similar foreground, and may be collectively utilized to describe a scene or as input images for multi-view stereo. In this paper, we present a method to segment these images with minimum user input, specifically, manual segmentation of one image, by iteratively propagating information via multi-level cues with adaptive confidence depending on the nature of the images. Propagated cues are used as the bases to compute multi-level potentials in an MRF framework, and segmentation is done by energy minimization. Both cues and potentials are classified as low-, mid-, and high- levels based on whether they pertain to pixels, patches, and shapes. A major aspect of our approach is utilizing mid-level cues to compute low- and mid- level potentials, and high-level cues to compute low-, mid-, and high- level potentials, thereby making use of inherent information. Through this process, the proposed method attempts to maximize the amount of both extracted and utilized information in order to maximize the consistency of the segmentation. We demonstrate the effectiveness of the proposed method on several sets of consistent scene images and provide a comparison with results based only on mid-level cues [1].

• Journal of Climate Change Research
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• v.4 no.3
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• pp.201-210
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• 2013

In recent years, with the rising interest to reduce greenhouse gas emissions, the demand for using environmentally friendly product with low greenhouse gas emission is increasing in the printing industry as well. In this study, the carbon footprint of environmentally friendly product mineral paper that uses less plastic and wood than normal printing paper materials was analyzed by utilizing the life cycle assessment (LCA) technique. An analysis utilizing the LCA technique was done per the Korea carbon footprint certification guidelines and, for scope of study, it included the premanufacturing stage and manufacturing stage except for the use and disposal stages. As a result of the study, the emission coefficient of the mineral paper was calculated to be $0.81kg\;CO_2eq/kg$ and the emission from electricity usage of the entire greenhouse gas emission was calculated to be 45.85% ($0.37kg\;CO_2eq/kg$). In order to reduce greenhouse gas emission, required are the efforts to reduce the environmental loads by using energies that have relatively lower environmental loads, such as improvement in electricity usage efficiency and renewable energy, by increasing product completion rates during the manufacturing process of mineral paper.

• Journal of Aerospace System Engineering
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• v.17 no.1
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• pp.42-50
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• 2023

In this study, hexagonal ferrite powder with chemical formula SrZn_2-xCo_xFe₁₆O₂₇ was synthesized by a solid-state reaction method and its electromagnetic (EM) wave absorption characteristics were evaluated in the frequency range of 0.1-18 GHz with absorber thickness range of 0 - 10 mm. Reflection loss (RL) affecting electromagnetic wave absorption performance was calculated based on the transmission line theory using measured complex permeabilities and permittivities. RL spectra were also directly measured for some samples. They were well matched with calculated results. High-frequency complex permeability characteristics were changed gradually according to the amount of Co substitution (x). The EM wave absorption frequency band could be tuned accordingly. Hexaferrite samples with x = 1.0, 1.25, and 1.5 exhibited remarkable maximum electromagnetic wave absorption performances with minimum RL (RL_min) lowered than -50 dB. They also showed a very broad frequency band (Δf > 10 GHz) in which more than 90% of the EM wave energy absorption occurred (RL ≤ -10 dB).

• Journal of agriculture & life science
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• v.46 no.1
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• pp.195-206
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• 2012

This study is about an analysis of surplus solar energy by important greenhouse types as well as setting temperature different by using Typical Meteorological Year data which was secured in order to provide basic data for designing an optimum thermal storage system to accumulate surplus solar energy generating in greenhouses during the daytime. Depending on the setting temperatures of $15{\sim}19^{\circ}C$ for greenhouse heating during day and night, surplus heat amounts were varied at the rate of about $0.2{\sim}6.9%/4^{\circ}C$ with some variations according to the greenhouse types and regions. On the other hand, the variations of supplemental heat requirements were about $29.7{\sim}50.0%/4^{\circ}C$. Depending on the setting temperatures for greenhouse ventilations(low $25{\sim}29^{\circ}C$ and high $27{\sim}31^{\circ}C$), surplus heat amounts were varied at the rate of about $-9.9{\sim}-35.6%/4^{\circ}C$ in auto-type greenhouse. But in single-type greenhouses, they were about $-5.1{\sim}-13.4%/4^{\circ}C$. There were not significant changes in supplemental heat amounts depending on setting temperatures of ventilation for both greenhouse types and regions.

• Korean Journal of Poultry Science
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• v.14 no.2
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• pp.125-135
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• 1987

Total 720 brown layers were fed 9 rations differing in metabolizable energy (2500, 2700 and 2900 kcal/kg) and crude protein (13, 15 and 17%) levels for a period of 12 weeks in order to study the effects of dietary energy and protein levels on the performance of brwon layer in summer. As metabolizable energy level increased from 2500 to 2900Kcal/kg of feed egg production, daily feed and protein intake were decreased, but daily energy intake, energy requirement and feed cost per kilogram of egg mass were increased. There were no significant difference in egg weight, feed conversion and motality among dietary energy levels. On the other hand, as dietary Protein level increased from 13 to 17% egg Production, egg weight, daily protein intake and protein requirement per kilogram of egg mass were increased, but feed and energy requirement and feed cost per kilogram or egg mass were decreased. However daily feed intake and mortality were not affected by dietary protein level.

• Journal of Advanced Navigation Technology
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• v.19 no.1
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• pp.66-73
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• 2015

In this paper, an architecture of a perpetual smart video device and its energy control model for the internet of things (IoT) are proposed. The smart video device consists of a processor, an image sensor, a video codec, and a network controller. In the proposed energy control model, energy consumed by image sensing, video encoding, and transmission and energy harvested by solar panels are defined as an input and an output of a battery, an energy buffer. Frame rate, quantization parameter, and operating frequency of processor are defined as the energy control parameters, and these parameters control the input and the output energy of the energy buffer, finally control the energy left in the battery. The proposed energy control model is validated by the energy consumption measurement of the smart phone based platform for various combinations of energy control parameters, and can be used for the design of perpetual smart video device.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.253-262
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• 2018

Recently, the energy industry is implementing renewable energy supply policy to reduce energy consumption. The purpose of this study is to build a database that can help promote the supply of geothermal energy system to prepare for the increase of renewable energy demand and to develop a method to evaluate the possibility of geothermal energy system installation by using database information. The data used in the study was reliable using open data provided by national agencies. We obtained information necessary for the possibility of geothermal energy system installation, constructed a dedicated database, and studied the method of calculating the geothermal well capacity by using the database information. In the future, this study will establish a local environmental evaluation standard and add information on other renewable energy to contribute to the activation of renewable energy supply.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.413-417
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• 2007

Ad hoc 센서 네트워크에서 노드는 제한된 에너지를 가지며, 에너지의 사용률은 토폴로지 구조나 센서 노드의 동작에 의존한다. 본 논문에서는 low power distributed MAC을 개량 하여, MANET에서 clustering 구조의 네트워크를 위한 효율적인 에너지 절약을 위한 새로운 구조를 제안한다. 본 제안된 구조의 특징은 Ad hoc 네트워크에서 에너지에 관련된 배터리 파워나, 노드의 거리, 전송 전력 등의 정보를 활용한 상황 인식을 사용하였다. 에너지 상황 인식을 적용한 제안된 망의 구조는 clustering 형상과 메시지 전송의 성능 및 데이터의 도달 인식을 향성 시킨다. 또한 context aware computing을 이용함으로써, 상황과 정의된 rule에 따라서 노드의 동작과 네크워크 라우팅의 상황에 적응하도록 노드를 조정 할 수 있는 구조이다.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.291-308
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• 2011

The success of a target of 'low-carbon green growth' depends on whether installing energy-saving capital would result in an increase in industry's productivity growth. Defining total factor productivity from a dual cost function, this paper estimates the contribution of energy efficiency investment to productivity growth by analyzing the sources of growth of productivity index for the primary metal industries. Empirical results show that, on average, energy efficiency investment increased the annual rate of productivity growth by 1.16 percentage points over th period 1982~2006. In addition, The scale effect positively affected the contribution of energy efficiency investment on productivity growth.

• Journal of Energy Engineering
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• v.24 no.4
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• pp.146-158
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• 2015

A bottom-up approach has been conducted to estimate greenhouse gas (GHG) emission and to analyze the marginal abatement cost for the Korean horticulture energy sector. With the systematically derived activity and energy balance data, the BAUs have been estimated, along with the marginal abatement cost over the period 2010 through 2030. The result from the marginal abatement cost analysis may provide general guidelines and procedures for the establishment of GHG abatement polices.