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Stability Analysis of Perforated Plate Type Single Stage Suspension Fluidized Bed Without Downcomer
Lu, Wei Ming,Ju, Sheau Pyng,Tung, Kuo Lun,Lu, Yu Chang 한국화학공학회 1999 Korean Journal of Chemical Engineering Vol.16 No.6
The stability of operation of a perforated plate type suspension bed without downcomer was analyzed experimentally and numerically. The effects of the feed rate, the gas flowrate and the opening ratio and hole diameter of the perforated plates on the operating stability of the fluidized bed were examined. A full three-dimensional discrete particle simulation method proposed by Tsuji [1993] was performed to study the formation of a stable suspension fluidized bed. The course and behavior of particles that formed a dense and stable fluidized bed are discussed. Both the experimental and simulation results of this study show that the process of forming a suspension bed can be categorized into (i) an induced stage, (ii) a growing stage, and (iii) a stable stage. The velocity of gas through the orifice directly controls the formation of the bed while the solid flow rate over a considerable range maintains a balanced hold-up in the suspension bed system without downcomers. The existence of a multiplicity of steady states corresponding to different gas flow rates, for the same feed rate and perforated plate type, was observed. Results show that the design of the plate, the particle feed rate and the gas velocity distribution through the hole affect the stability of the fluidized bed. The simulated results agree qualitatively well with experimental observations.
Exploring the performance and competitiveness of Vietnam port industry using DEA
Kuo Kuo-Cheng,Lu Wen-Min,Le Minh-Hieu 한국해운물류학회 2020 The Asian journal of shipping and Logistics Vol.36 No.3
In the port industry, productivity is one of the vital factors for ports to develop competitiveness and market potential. The paper integrates context-dependent data envelopment analysis and forecasting models to conduct an efficient measurement of 53 Vietnamese ports and predict future performance in the port industry. By using the technique to get the measure of performance, this study builds the ports’ benchmark-learning stepping tools for the inefficient ports to enhance increasingly. The attractiveness and progress scores are resulted to assist the ports in situating themselves. Moreover, forecasting port performance results help decision-makers having more detailed information to make better decisions in their strategies and investments.
Automatic Fish Species Identification using Convolutional Neural Networks
( Yi-chin Lu ),( Ching-lu Hsieh ),( Yan-fu Kuo ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Fish is a worldwide major food source. In recent years, overfishing has become a serious problem. Overfishing exhausts fish resources, endangers some fish species, and also threatens the entire marine food chain. Hence, organizations put regulations to prevent overfishing. Typically, the species of the fish caught are recorded and reported by ocean observers. However, the manual reporting method is laborious and time-consuming. This study proposed to recognize fish species from images automatically using deep convolutional neural networks (CNN). A first deep CNN was used to identify fish types (e.g., tuna, marlin, shark, and other). A second deep CNN was used to distinguish species of tuna fish, including Thunnus alalunga (Albacore), Thunnus obesus (Bigeye tuna), Thunnus albacares (Yellowfin tuna). A third deep CNN was used to determine the species of marlin fish, including Makaira nigricans (Atlantic blue marlin), Istiophorus platypterus (Indo-Pacific sailfish), Xiphias gladius (Swordfish). Each deep CNN was a fine-tuned VGG-16 model. The experimental results showed that the proposed method reached an average accuracy of 97.9%.
Energy-Aware Hybrid Cooperative Relaying with Asymmetric Traffic
Jian Chen,Lu Lv,Wenjin Geng,Yonghong Kuo 한국전자통신연구원 2015 ETRI Journal Vol.37 No.4
In this paper, we study an asymmetric two-way relaying network where two source nodes intend to exchange information with the help of multiple relay nodes. A hybrid time-division broadcast relaying scheme with joint relay selection (RS) and power allocation (PA) is proposed to realize energy-efficient transmission. Our scheme is based on the asymmetric level of the two source nodes’ target signal-to-noise ratio indexes to minimize the total power consumed by the relay nodes. An optimization model with joint RS and PA is studied here to guarantee hybrid relaying transmissions. Next, with the aid of our proposed intelligent optimization algorithm, which combines a genetic algorithm and a simulated annealing algorithm, the formulated optimization model can be effectively solved. Theoretical analyses and numerical results verify that our proposed hybrid relaying scheme can substantially reduce the total power consumption of relays under a traffic asymmetric scenario; meanwhile, the proposed intelligent optimization algorithm can eventually converge to a better solution.
Chia-Lun Kuo,Pei-Chen Lee,Li-Jung Elizabeth Ku,Yu Sun,Tsung-Hsueh Lu,Muhammad Atoillah Isfandiari,Chung-Yi Li 한국역학회 2023 Epidemiology and Health Vol.45 No.-
OBJECTIVES: Information regarding the underlying causes of death (UCODs) and standardized mortality ratio (SMR) of dementia is instrumental in formulating medical strategies to prolong life in persons with dementia (PWD). We examined the leading UCODs among PWD and estimated the overall and cause-specific SMRs in relation to dementia in Taiwan. METHODS: Data were retrieved from 2 national datasets: the Taiwan Death Registry and the medical claim datasets of the National Health Insurance program. The observed person-years for each study participant were counted from the date of cohort enrollment to either the date of death or the final day of 2016. Sex-specific and age-specific SMRs were then calculated. RESULTS: The leading UCOD was circulatory disease, accounting for 26.0% of total deaths (n=3,505), followed by respiratory disease at 21.3% (n=2,875). PWD were at significantly increased risk of all-cause mortality (SMR, 2.01), with SMR decreasing with advancing age. A cause-specific analysis revealed that the highest SMRs were associated with nervous system diseases (SMR, 7.58) and mental, behavioral, and neurodevelopmental disorders (SMR, 4.80). Age appeared to modify SMR, suggesting that younger age at cohort enrollment was linked to higher SMRs for nearly all causes of mortality. CONCLUSIONS: Circulatory and respiratory diseases were the leading UCODs among PWD. The particularly elevated mortality due to nervous system diseases and mental disorders suggests that allocating more resources to neurological and psychiatric services is warranted. The elevated SMRs of various UCODs among younger PWD underscore the need for clinicians to pay particular attention to the medical care provided to these patients.