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RISS 인기검색어
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- 저자 : ( Hongwei Ji ) (검색결과 4 건)
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Scale Invariant Auto-context for Object Segmentation and Labeling
( Hongwei Ji ),( Jiangping He ),( Xin Yang ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.8
In complicated environment, context information plays an important role in image segmentation/labeling. The recently proposed auto-context algorithm is one of the effective context-based methods. However, the standard auto-context approach samples the context locations utilizing a fixed radius sequence, which is sensitive to large scale-change of objects. In this paper, we present a scale invariant auto-context (SIAC) algorithm which is an improved version of the auto-context algorithm. In order to achieve scale-invariance, we try to approximate the optimal scale for the image in an iterative way and adopt the corresponding optimal radius sequence for context location sampling, both in training and testing. In each iteration of the proposed SIAC algorithm, we use the current classification map to estimate the image scale, and the corresponding radius sequence is then used for choosing context locations. The algorithm iteratively updates the classification maps, as well as the image scales, until convergence. We demonstrate the SIAC algorithm on several image segmentation/labeling tasks. The results demonstrate improvement over the standard auto-context algorithm when large scale-change of objects exists.
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KEPCO-China Huaneng Post-combustion CO2 Capture Pilot Test and Cost Evaluation
Ji Hyun Lee,No Sang Kwak,Hongwei Niu,Jinyi Wang,Shiqing Wang,Hang Shang,Shiwang Gao 한국화학공학회 2020 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.58 No.1
The proprietary post-combustion CO2 solvent (KoSol) developed by the Korea Electric Power Research Institute (KEPRI) was applied at the Shanghai Shidongkou CO2 Capture Pilot Plant (China Huaneng CERI, capacity: 120,000 ton CO2/yr) of the China Huaneng Group (CHNG) for performance evaluation. The key results of the pilot test and data on the South Korean/Chinese electric power market were used to calculate the predicted cost of CO2 avoided upon deployment of CO2 capture technology in commercial-scale coal-fired power plants. Sensitivity analysis was performed for the key factors. It is estimated that, in the case of South Korea, the calculated cost of CO2 avoided for an 960 MW ultra-supercritical (USC) coal-fired power plant is approximately 35~44 USD/tCO2 (excluding CO2 transportation and storage costs). Conversely, applying the same technology to a 1,000 MW USC coal-fired power plant in Shanghai, China, results in a slightly lower cost (32~42 USD/tCO2). This study confirms the importance of international cooperation that takes into consideration the geographical locations and the performance of CO2 capture technology for the involved countries in the process of advancing the economic efficiency of large-scale CCS technology aimed to reduce greenhouse gases.
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A 3-prismatic-revolute-spherical compliant parallel platform for optoelectronic packaging
Hongwei Xu,Haibo Zhou,Shuaixia Tan,Zhiping Kong,Ji-An Duan 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6
To align the optical channels of optoelectronic appliances, a 3-prismaticrevolute-spherical (3-PRS) compliant parallel platform (CPP) is proposed in this work. The platform has special large stroke compliant joints. Attention is paid to the establishment of the inverse kinematics model and the analysis of the parasitic motion (PM) of the platform. A prototype of the platform is also presented, and its accuracy is experimentally evaluated. Besides, the platform is employed as a 3 degree-of-freedom (DOF) platform for optoelectronic packaging. Furthermore, the closed-loop control strategy requires merely one optical power meter to avoid the use of complex multiple DOF detection devices. In this respect, the influence of the precision of inverse kinematics solution on the optoelectronic packaging is reduced. Moreover, a compensation rule is employed to minimize the effect of PM on the motion accuracy of the platform. The results show that the proposed 3-PRS CPP is highly efficient for optoelectronic packaging.
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Haiting Ji,Hui Li,Yang Li,Li Yang,Guoping Lei,Hongwei Xiao,Jie Zhao,Lefeng Shi 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.2
This paper presents a reliability assessment model for the power semiconductors used in wind turbine power converters. In this study, the thermal loadings at different timescales of wind speed are considered. First, in order to address the influence of long-term thermal cycling caused by variations in wind speed, the power converter operation state is partitioned into different phases in terms of average wind speed and wind turbulence. Therefore, the contributions can be considered separately. Then, in regards to the reliability assessment caused by short-term thermal cycling, the wind profile is converted to a wind speed distribution, and the contribution of different wind speeds to the final failure rate is accumulated. Finally, the reliability of an actual power converter semiconductor for a 2.5 MW wind turbine is assessed, and the failure rates induced by different timescale thermal behavior patterns are compared. The effects of various parameters such as cut-in, rated, cut-out wind speed on the failure rate of power devices are also analyzed based on the proposed model.
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