Junxiao Zhang

Southwest Jiaotong University

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Qing Zhu

Southwest Jiaotong University

Chong Gao

China Southern Power Grid (China)

Huanliang Liu

Sun Yat-sen University

Shuangxi Miao

Ministry of Agriculture and Rural Affairs

Xinping Yu

Sun Yat-sen University

Peng Zhang

Zhejiang Mariculture Research Institute

Jibiao Zhang

Guangdong Ocean University

Jun Zhu

Southwest Jiaotong University

Guimin Xia

Shenyang Agricultural University

Roland P. Kuiper

Princess Máxima Center

Cooperative Institutions

Chinese Academy of Sciences

Sun Yat-sen University

Southern Medical University

Ministry of Natural Resources

Wenzhou Medical University

Sixth Affiliated Hospital of Sun Yat-sen University

Zhejiang University

University of Chinese Academy of Sciences

Southwest Jiaotong University

China Southern Power Grid (China)

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Research on Issues Concerning Transformation and Upgrading of Small and Medium Enterprises and Skill Talent Cultivation in Wenzhou

Journal of Zhejiang Industry & Trade Vocational College (2011)

Junxiao Zhang

Transformation and upgrading of enterprises is closely related to the skill talent cultivation,with the former involving production industry adjustment,business mode innovation,technical transformation and new energy development and utilization.At the same time,the most important element in enterprise transformation and upgrading is talent,which has also become a bottleneck for Wenzhou enterprises to realize transformation and upgrading.Based on the in-depth analysis of survey fruits and experience on enterprises of Wenzhou,suggestions and thoughts are proposed in this article from the perspectives of government,enterprise and school for the issue of how to serve enterprise transformation and upgrading and strengthen talent cultivation.

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An Enhanced FCM Clustering Method Based on Multi-Strategy Tuna Swarm Optimization

Mathematics (2024)

Changkang Sun Qinglong Shao Ziqi Zhou Junxiao Zhang

To overcome the shortcoming of the Fuzzy C-means algorithm (FCM)—that it is easy to fall into local optima due to the dependence of sub-spatial clustering on initialization—a Multi-Strategy Tuna Swarm Optimization-Fuzzy C-means (MSTSO-FCM) algorithm is proposed. Firstly, a chaotic local search strategy and an offset distribution estimation strategy algorithm are proposed to improve the performance, enhance the population diversity of the Tuna Swarm Optimization (TSO) algorithm, and avoid falling into local optima. Secondly, the search and development characteristics of the MSTSO algorithm are introduced into the fuzzy matrix of Fuzzy C-means (FCM), which overcomes the defects of poor global searchability and sensitive initialization. Not only has the searchability of the Multi-Strategy Tuna Swarm Optimization algorithm been employed, but the fuzzy mathematical ideas of FCM have been retained, to improve the clustering accuracy, stability, and accuracy of the FCM algorithm. Finally, two sets of artificial datasets and multiple sets of the University of California Irvine (UCI) datasets are used to do the testing, and four indicators are introduced for evaluation. The results show that the MSTSO-FCM algorithm has better convergence speed than the Tuna Swarm Optimization Fuzzy C-means (TSO-FCM) algorithm, and its accuracies in the heart, liver, and iris datasets are 89.46%, 63.58%, 98.67%, respectively, which is an outstanding improvement.

Swarm intelligence

10.3390/math12030453

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El Niño影响下春季南海北部表层水体CO 2 分压变化

马玉 Yu Ma 高全洲 Quanzhou Gao 李团结

采用走航连续观测系统分别在2011年5月和2015年5月对南海北部表层水体温度、盐度、溶解氧、叶绿素a和pCO2进行了现场观测.在El Nino影响下，2015年5月华南地区及广东省降雨量偏多，大量冲淡水入海，南海北部冲淡水区域海表盐度显著降低，2015年5月冲淡水区域海表盐度平均值为（28.05±6.18），低于2011年5月的海表盐度平均值（29.65±2.58），同时实测冲淡水区域海表温度平均升高约2.10℃.冲淡水携带的营养物质和适度升高的海表温度共同促进了冲淡水区域浮游植物的繁殖.浮游植物光合作用不断地将海水中的游离CO2转化为有机碳，同时释放出氧气，使得水体pCO2降低，2015年5月冲淡水区域pCO2平均值为（286±95）μatm，低于2011年5月的pCO2平均值（300±42）μatm.2015年5月实测获得离岸海域pCO2平均值为（421±9）μatm，高于2011年5月pCO2平均值（386±13）μatm，二者差值为35 μatm，海表温度是离岸海域pCO2的主要影响因子，2015年5月El Nino期间离岸海域SST升高1.96℃.El Nino影响下冲淡水区域的碳汇作用增加，离岸海域的碳源作用增强，冲淡水区域碳汇增加与离岸海域碳源增强基本抵消，2015年5月南海北部整体仍是CO2弱汇区，约为-0.40 mmol·m-2·d-1，与2011年5月通量值-0.58 mmol·m-2·d-1差别不明显.

10.13671/j.hjkxxb.2016.0210

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Synthesis of Fe₃O₄ Nanoparticles Using Controlled Ammonia Vapor Diffusion under Ultrasonic Irradiation

Industrial & Engineering Chemistry Research (2011)

Zunli Mo Chun Zhang Ruibin Guo Shujuan Meng Junxiao Zhang

Fe3O4 nanoparticles were synthesized for the first time via an ammonia vapor diffusion process under ultrasonic irradiation. The possible ultrasound mechanism and the process of ammonia diffusion and reaction has been deduced. Influences of experiment parameters such as reaction time, temperature on the morphology, and size of products were also investigated in detail. Morphology and magnetic properties of products were carefully studied by Fourier transform infrared spectra (FTIR), X-ray diffraction (XRD), Scanning electron microscopes (SEM), and vibrating sample magnetometer (VSM). The synthesized Fe3O4 nanoparticles possess superparamagnetic properties at room temperature, and the saturation magnetization is 70.5 emu/g.

Superparamagnetism

10.1021/ie101683x

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The construction of personalized virtual landslide disaster environments based on knowledge graphs and deep neural networks

International Journal of Digital Earth (2020)

Yunhao Zhang Jun Zhu Qing Zhu Yakun Xie Weilian Li

Virtual Landslide Disaster environments are important for multilevel simulation, analysis and decision-making about Landslide Disasters. However, in the existing related studies, complex disaster scene objects and relationships are not deeply analyzed, and the scene contents are fixed, which is not conducive to meeting multilevel visualization task requirements for diverse users. To resolve the above issues, a construction method for Personalized Virtual Landslide Disaster Environments Based on Knowledge Graphs and Deep Neural networks is proposed in this paper. The characteristics of relationships among users, scenes and data were first discussed in detail; then, a knowledge graph of virtual Landslide Disaster environments was established to clarify the complex relationships among disaster scene objects, and a Deep Neural network was introduced to mine the user history information and the relationships among object entities in the knowledge graph. Therefore, a personalized Landslide Disaster scene data recommendation mechanism was proposed. Finally, a prototype system was developed, and an experimental analysis was conducted. The experimental results show that the method can be used to recommend intelligently appropriate disaster information and scene data to diverse users. The recommendation accuracy stabilizes above 80% – a level able to effectively support The Construction of Personalized Virtual Landslide Disaster environments.

Scene graph

10.1080/17538947.2020.1773950

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Mesh Method for Distribution Network Planning Model Based on Bi-level Planning

Lecture notes in electrical engineering (2019)

Junxiao Zhang Ziyao Wang Junxi Tang Chong Gao Huazhen Cao

Spare part

10.1007/978-981-13-9783-7_16

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Adsorption of cadmium ions from aqueous solutions by activated carbon with oxygen-containing functional groups

Chinese Journal of Chemical Engineering (2015)

Yu Bian Zhaoyong Bian Junxiao Zhang Aizhong Ding Shaolei Liu

10.1016/j.cjche.2015.08.031

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Imbalanced Sensory Eye Dominance of Surgically Aligned Late-onset Acute Acquired Concomitant Esotropes with normal stereopsis

Research Square (Research Square) (2020)

Zhimo Yao Huanyun Yu Junxiao Zhang Bo Chen Xinping Yu

Abstract Background : Adults with late-onset acute acquired concomitant esotropia (AACE) have chance to develop normal binocular functions including a balanced ocular dominance before the onset of esotropia. For most patients, strabismus surgery re-establishing the ocular alignment indeed effectively restore stereopsis and visual acuity to the normal level. However, it is unclear whether they have already acquired balanced two eyes. Methods : 11 surgically aligned patients with AACE (24.3 ± 1.5 years; mean ± SE) and 14 adults with normal vision (26.1±1.2 years) participated in our experiments. All patients had normal binocularity and stereopsis. Using binocular phase combination paradigm, sensory eye dominance was quantified as the interocular contrast ratio, termed balance point, at which the contribution of each eye to the perception of cyclopean grating were equal. Results : Normal controls had a mean balance point value close to unity (0.95±0.01), while AACE group exhibited evident binocular imbalance (0.76±0.05), which was significantly different from control group (t (10.45) = -3.485, p = 0.006) . The balance point value didn’t depend on the interval from AACE onset to strabismus surgery (r = -0.357, p = 0.281) or the interval from the surgery to examination of sensory eye dominance (r = -0.105, p = 0.759). Conclusions : Although strabismus surgery effectively straightened AACE patients’ ocular alignment and even conferred them normal stereopsis, late-onset AACE patients’ two eyes were still not balanced. These results indicated that binocular imbalance might be a risk factor for adult AACE.

Esotropia

10.21203/rs.3.rs-49517/v1

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Hierarchical scheduling method of UAV resources for emergency surveying

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2015)

Junxiao Zhang Qing Zhu Fuqiang Shen Shuangxi Miao Zhenyu Cao

Traditional mission scheduling methods are unable to meet the timeliness requirements of emergency surveying. Different size and overlaps of different missions lead to inefficient scheduling and poor mission returns. Especially for UAVs, based on their agile and flexible ability, the scheduling result becomes diversiform; as affected by environment and unmanned aerial vehicle performance, different scheduling will lead to different time costs and mission payoffs. An effective scheduling solution is to arrange the UAVs reasonably to complete as many as missions possible with better quality and satisfaction of different demands. This paper proposes a method for mission decomposition or aggregation to generate a mission unit for specific UAVs based on the spatio-temporal constraints of different missions and UAV observation ability demands. In this way, the problems of lack or redundancy of resource scheduling, which can be caused by mission overload, various information demands and spatial overlapping will be effectively reduced. Furthermore, the global efficiency evaluation function is built by considering typical scheduling objectives, such as mission returns, priority and load balancing of resources. Then, an improved ant colony algorithm is designed to acquire an optimal scheduling scheme and the dynamic adjustment strategy is employed. Finally, the correctness and validity are demonstrated by the simulation experiment.

10.1117/12.2207912

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Game Strategy Designing for Spacecraft in Multi-stage Processes

Lecture notes in electrical engineering (2024)

Zhenghua Xue Wang Chen Jianjiang Hui Qinglong Shao Xiao Zhou

10.1007/978-981-97-3336-1_21

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