http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Dengyue (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
나등약 ( Luo Dengyue ) 한중사회과학학회 2017 한중사회과학연구 Vol.15 No.1
本文基于2007∼2014年95家中國證券公司的面板數据, 采用DEA和Tobit模型硏究證券公司的效率及其影響因素, 幷運用基于DEA的Malmquist指數法對中國證券業的全要素生産率進行了分析。硏究結果表明: (1)2007-2014年間證券公司的技術效率總體上是上升趨勢。(2)市場競爭度與證券公司的技術效率顯著正相關。(3)證券公司的總資産、成本管理能力以及資産負債率與技術效率顯著正相關。(4)證券公司上市與否和國內生産總値實際增長率對證券公司的技術效率沒有顯著影響。(5)2007-2014年中國證券業的全要素生産率總體上略微下降, 但 2013、2014年呈現强勁增長。其中, 純技術效率的增長對全要素生産率的增長貢獻最大;規模效率增長態勢平穩;導致證券公司全要素生産率下降的主要原因在于技術長期處于退步狀態, 但2013、2014年技術進步呈現强勁增長態勢。最后, 給出一些提升中國證券公司效率和生産率的政策建議。 Based on the data of 95 security companies of China from 2007 to 2014, the Chinese security companies` technical efficiency and its determinants are investigated by employing DEA and Tobit model. And the total factor productivity of Chinese securities companies is investigated by employing the Malmquist productivity index based on DEA. The result shows that: (1) the Chinese security companies` technical efficiency has been on an upward trend from 2007 to 2014, (2) there is a significant positive correlation between the level of market competition and the security companies` technical efficiency, (3) there is a significant positive correlation between total asset, cost management ability, asset liability ratio and security companies` technical efficiency, (4) there are no significant relationships between whether listed or not, the real growth rate of gross domestic product and security companies` technical efficiency, (5) the total factor productivity of Chinese securities companies decreases slightly from 2007 to 2014 while shows strong growth trend in 2013 and 2014. Scale efficiency has been in a steady growth trend. The growth of technical efficiency contributes most to the growth of total factor productivity. The main reason of the total factor productivity declining is that technology has long been in a state of decline, but technology shows growth trend in 2013 and 2014.
-
New Structure Design for 126kV HV Vacuum Circuit Breaker
Xie Jiuming,Sun Dengyue,Wang Jianzhong,Cao Jianbo,Liu Wenping 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12
This paper analyzes the advantages of double breaks under series connection for 126kV HV vacuum circuit breaker. It makes efforts in the break designing to avoid hidden danger brought by voltage-sharing capacitor. Voltage is evenly distributed in the shape of ▽ at the basic break that asks for no voltage-sharing capacitors. Permanent magnetic actuator is used to ensure the synchronization of opening and closing of double breaks. Based on this layout, this paper designs a new actuator and motion system for vacuum circuit breaker optimized by virtual prototype software ADAMS and genetic algorithm. Laboratory tests have proved that the opening and closing speed of the breaker meets the speed standard and that the 126kV HV vacuum circuit breaker is feasible.
-
-
Heterologous expression of ZmNF-YA12 confers tolerance to drought and salt stress in Arabidopsis
Zhang Tongtong,Zheng Dengyu,Zhang Chun,Wu Zhongyi,Yu Rong,Zhang Zhongbao 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.4
Drought and salinity are serious environmental factors limiting the growth and productivity of plants worldwide. Therefore, it is necessary to develop ways to improve drought and salinity stress tolerance in plants. In this study, a drought-responsive nuclear factor Y subunit A gene, ZmNF-YA12, was cloned from maize. qPCR revealed ZmNF-YA12 transcript in all vegeta- tive and reproductive tissues, with higher levels in young roots. Expression analyses of maize revealed that ZmNF-YA12 was induced by abscisic acid (ABA), jasmonic acid (JA), and abiotic stresses, including dehydration, high salinity, cold, and polyethylene glycol (PEG) treatment. The heterologous expression of ZmNF-YA12 in Arabidopsis plants resulted in increased root length and better plant growth than in wild-type (WT) plants under conditions of mannitol, salt, and JA stress on 1/2 MS medium. Transgenic Arabidopsis showed improved tolerance to drought and salt stresses in soil, and higher proline content and lower malondialdehyde (MDA) content than WT controls. The transgenic plants also maintained higher peroxidase (POD) activities than WT plants under conditions of NaCl stress. A yeast two-hybrid experiment demonstrated that ZmNF-YA12 interacted with ZmNF-YC1 and ZmNF-YC15. Moreover, the transcript levels of stress-responsive genes (RD29A, RD29B, RAB18, and RD22) were markedly increased in transgenic lines under conditions of drought and salt stress. These observa- tions suggested that the ZmNF-YA12 gene may confers drought and salt stress tolerance by regulating stress-related genes or interacting with ZmNF-YC1 and ZmNF-YC15, and has potential applications in molecular breeding with maintenance of production under conditions of stress.
-
Chengjin Qin,Gang Shi,Jianfeng Tao,Honggan Yu,Yanrui Jin,Dengyu Xiao,Chengliang Liu 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.2
During tunneling process, it is of critical importance to dynamically adjust operation parameters of shield machine due to changes of geological conditions. Cutterhead torque is one of the key load parameters, and its accurate prediction could adjust operational parameters including cutterhead rotational speed and tunneling speed in advance and avoid potential cutterhead jamming. Based on operation and state data collected by the monitoring system, we propose a residual-convolutional-LSTM neural network (RCLSTMNet) for forecasting cutter head torque in shield machine. On the basis of correlation analysis, parameters closely related to cutter head torque are selected as inputs by employing cosine similarity, which significantly reduces input dimension. Convolutional-LSTM neural network is fused and constructed for extracting deep useful features, while residual network module is utilized to avoid gradient disappearing and improve regression performance. Comparisons with recent data-driven cutterhead torque prediction methods are made on the actual engineering datasets, which demonstrate the presented RCLSTMNet outperforms the other data driven models in most cases. Moreover, the predicted curves of cutterhead torque using the proposed RCLSTMNet coincide with the actual curves much better than predicted curves using the other models. Meanwhile, the highest and average accuracy of RCLSTMNnet reach 98.1% and 95.6%, respectively.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
