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( Wenzhu Zhang ),( Kyung Sup Kwak ),( Chengxiao Feng ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.7
In order to guide users to select the most optimal access network in heterogeneous wireless networks, a network selection algorithm is proposed which is designed based on multi-objective discrete particle swarm optimization (Multi-Objective Discrete Particle Swarm Optimization, MODPSO). The proposed algorithm keeps fast convergence speed and strong adaptability features of the particle swarm optimization. In addition, it updates an elite set to achieve multi-objective decision-making. Meanwhile, a mutation operator is adopted to make the algorithm converge to the global optimal. Simulation results show that compared to the single-objective algorithm, the proposed algorithm can obtain the optimal combination performance and take into account both the network state and the user preferences.
张文竹(Wenzhu Zhang),闫洪波(Hongbo Yan),李建坤(Jiankun Li),韩鑫(Xin Han) YIXIN 출판사 2024 教育教学研究论丛 Vol.2 No.6
Good classroom teaching quality is the cornerstone of innovative and applied talents training in colleges and universities. Based on the theory of planned behavior and the theory of customer perceived value, this paper analyzes the multiple factors that affect college students' learning behavior, providing a new analysis method and decision-making basis for exploring the complexity of college students' learning behavior, and then conducting targeted intervention and guidance. This paper takes the major of agricultural mechanization and automation in our school as the research object, starts with the students of this major as education consumers, takes the perceived value of customers as the perceptual starting point, uses the theory of planned behavior to deeply analyze the influencing factors behind the learning behaviors of agricultural machinery major students, and puts forward targeted strategies to improve the classroom teaching quality of agricultural machinery major. 良好的课堂教学质量是高等学校开展创新型和应用型人才培养的基石。借助计划行为理论和顾客感知价值理论来剖析影响高校学生学习行为的多重因素,为探究高校学生学习行为的复杂性,进而针对性的进行干预和引导提供了新的分析方法和决策依据。本文以我校农业机械化及其自动化专业为研究对象,以该专业学生作为教育消费者的身份切入,以顾客感知价值为感知起点,运用计划行为理论深入剖析了农机专业学生学习行为背后的影响因素,并针对性的提出了农机专业课堂教学质量提升策略。
Identification and Characterization of EDT1 Conferring Drought Tolerance in Rice
Tao Wu,Mingxing Zhang,Hongjia Zhang,Kai Huang,Mojun Chen,Chen Chen,Xue Yang,Zhao Li,Haoyuan Chen,Zhiming Ma,Xunming Zhang,Wenzhu Jiang,Xinglin Du 한국식물학회 2019 Journal of Plant Biology Vol.62 No.1
Basic Leucine Zipper (bZIP) transcription factors(TFs) play important roles in many processes, especially inabiotic stress response in plants. In this study, we characterizeda new gene EHANCED DROUGHT TOLERANCE 1 (EDT1),member of group E of bZIP transcription factor family inrice. The EDT1 protein contains one bZIP domain, oneputative nuclear localization signal (NLS) and six conservedphosphorylation sites. The expression of EDT1 is suppressedby several abiotic stresses, such as cold, droutht, and salt. Corresponding with expression patterns, several stress-associatedcis-acting elements were found in the EDT1 promoter. Theresults of subcellular localization and transactivation abilityanalyses indicated that EDT1 was localized in the nucleusand functioned as a nuclear protein, with its transactivationactivity primarily located in N-terminal. Transgenic riceoverexpressing EDT1 showed drought tolerance that hasbeen significantly improved. Real-time PCR analysis revealedthat some stress-related genes, such as OsbZIP12, SNAC1,OsLEA3, OsbZIP16, OsbZIP10 and OsABI2 were up-regulatedin EDT1 overexpression lines. These results indicate thatEDT1 plays a positive role in drought tolerance and providesvaluable targets for breeding drought-tolerant rice cultivars.
SIMULATION STUDY ON VEHICLE RIDE COMFORT BASED ON FINITE ELEMENT MODEL AND PSEUDO-EXCITATION METHOD
Wang Wenzhu,Lijie Dong,Liu Gang,Wei Jun,Zhang Zhenwei 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.4
This research aims to develop a new vehicle ride comfort simulation technology. The basic principle of pseudo-excitation method (PEM) is summarized, and the specific method of PEM is proposed to solve the finite element model (FEM) of vehicle. Taking a simple 7-degree-of-freedom (DOF) car spatial model as an example, the traditional and new methods are compared. Simulation results show that they are completely consistent, thereby verifying the effectiveness of the new method. At the same time, through the simulation process, the new method is simpler and more efficient without deducing complex mathematical formulas and software programming. Finally, the ride comfort simulation of a car’s complex FEM is performed. FEM can consider the parts of the vehicle as elastic bodies and closer to the real vehicle. The PEM transforms random vibration analysis into simple harmonic vibration analysis, which improves the efficiency of the solution greatly. Therefore, the combination of the FEM and the PEM cannot only solve the problem of model accuracy but also the problem of solving efficiency, which has strong practical engineering application value.
Si–Ge alloys in C2/c phase with tunable direct band gaps: A comprehensive study
Qingyang Fan,Huiqin Wang,Wenzhu Zhang,Mingfei Wei,Yanxing Song,Wei Zhang,Sining Yun 한국물리학회 2019 Current Applied Physics Vol.19 No.12
Si–Ge alloys are a new type of semiconductor material that are of great significance for the development of microelectronic technology, especially in the photoelectricity industry and for thermoelectric conversion in high temperature applications (> 700 K). In the present work, a novel Ge allotrope in the C2/c phase with band gap of 1.102 eV was firstly proposed, which is suitable for the absorption of sunlight. C2/c-Ge are mechanically, dynamically and thermodynamically stable. A series of Si24-xGex alloys (x=0, 8, 16, 24) in the C2/c phase with band gaps of 1.10–1.50 eV are predicted by ab initio calculations at ambient conditions. The Si24-xGex alloys (x=0, 8, 16, 24) in C2/c phase have better absorption ability than that of the Si in diamond, hP12 and oC12 phases. The Si24-xGex alloys in the C2/c phase have the strong absorption in the visible, which have a great impact on the new-generation photovoltaic applications.