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Optimal Design of a Five-Phase Outer-Rotor Permanent-Magnet Synchronous Machine Ping Zhenga, Yi Suib, Pengfei Wangc, Fan Wud, and Shuqing Zhange School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China azhengping@hit.edu.cn, bsuiyi_hitee2005@163.com, cwpf6032@163.com, dwufan871226@126.com, ezhangshuqing10@126.com Keywords: Five-phase machine, optimal design, permanent-magnet synchronous machine (PMSM).
High power density, low torque ripple, and excellent fault-tolerant ability are key requirements for the next generation EV drive system.
With the improvement of PM material processing technology, radial magnetization is more beneficial to improve power density.

Temporal Trends and Spatial Variations of Polycyclic Aromatic Hydrocarbons in Atmospheric PM10 of Jinan, China Jie Luo1, a, Zhaojie Cui1, b*, Shiyong Du2, c, Guolan Fan2, d 1School of Environmental Science and Engineering, Shandong University, Jinan 250100, China 2Jinan Academy of Environmental Sciences, Jinan 250014, China axingkonglj@foxmail.com, b,*corresponding author: cuizj@sdu.edu.cn, cshiyongdu@vip.sina.com, dfanguolan@126.com Keywords: PAHs; PM10; temporal variation; spatial variation Abstract.
Material and methods The study was performed at Lixia (LX), Tianqiao (TQ) and Licheng (LC) in Jinan, Shandong Province.
Acknowledgments This work was financially supported by the Key Scientific & Technological Project on Environmental Protection of Shandong Province (No. [2006] 048), Natural Science foundation of Shandong province (No.Z2008E04) and National Environmental Special Fund for Public Welfare Industry (No.2010467007).

The Application of Wireless Sensor Network and Middleware in the Internet of Things Yuqing Shi, Yuelong Zhu College of Computer and Information Engineering, Hohai University, Nanjing, China shiyuqing@hhu.edu.cn ; ylzhu@hhu.edu.cn Keywords: Wireless Sensor Network; middleware; Internet of Things Abstract.
Introduction Nowadays, Wireless Sensor Networks take a very material role in the Internet of Things.
Final, the key goal of our middleware architecture is offering services to a final user; it is based on Service-Oriented Architecture.

However, a key challenge remains in enabling robots to effectively identify interactive scenarios and understand human intentions.
This robust six-axis robotic arm stands out for its outstanding performance and great versatility in a variety of industrial applications, including assembly, material handling, packaging, machine operations, and others that require strength and precision.
Harne, Implementation of a wireless gesture controlled robotic arm, International Journal of Innovative Research in Computer and Communication Engineering, 03(01), pp. 375-379, 2015. doi:10.15680/ijircce.2015.0301031 [7] P.

Key Laboratory of Renewable Energy and Gas Hydrate ,CAS a wangxb@ms.giec.ac.cn * Corresponding author.
This is because the raw waste disposed by Plant NH has part of leather; while NaCl, FeCl3 and other kinds of chloride are normally used in leather industry for antisepsis, demineralization and leather dyeing, and the raw material of leatherette also contain high concentration of chlorine.
Characteristics of MSW incinerator ash for use in concrete, Environmental Engineering Science 15 (4):291-297 [9].

Szekeres [8] referred to these abnormally large prior austenite grains, larger than 1 mm, as "blown-grains" and contended that the existence of abnormally large prior austenite grains is the key factor and mandatory prerequisite for transverse cracking [8,9].
Szekeres, E.S., Iron and Steel Engineer, Vol. 7, 1996, p. 350 3.
Shibata, and T Emi, Proceedings Materials '98 Conference, Wollongong, 6-8 July, 1998, pp. 445-450. 11.

The n-n heterojunction formed between ZnO and WO3 played a key role in improving gas sensing performance.
Experimental 2.1 Materials The synthesis of ZnO-TiO2 nanocomposites involved the use of zinc oxide, titanium (IV) oxide (S.
Radamson, "Nanometer-Thick ZnO/SnO2 Heterostructures Grown on Alumina for H2S Sensing,"ACS Applied Nano Materials, 5 (2022) 6954-6963
Kapse, "Low temperature H2S gas sensor based on Fe2O3 modified ZnO-TiO2 thick film,"International Journal of Materials Science and Engineering, 3 (2015) 219
Raghuwanshi, "TiO2 modified ZnO thick film resistors as ammonia gas sensors,"Advanced Materials Letters, 4 (2013) 895-898

Introduction Cracks at interfaces between dissimilar materials are present at all scales in many heterogeneous materials and structures, like multilayers, composites, joints, etc., in a broad range of fields from engineering to geophysics.
Stress distribution in bonded dissimilar materials with cracks.
The bending of plates of dissimilar materials with cracks.
Mixed mode cracking in layered materials.
The stress-intensity factor for a penny-shaped crack between two dissimilar materials.

A Forecasting Model of RBF Neural Network Based on Particle Swarm Optimization Yumin Pan1, a, Chengyu Huang2,b and Quanzhu Zhang3,c 1 Yanjiao, East Beijing,101601, China 2 Yanjiao, East Beijing,101601, China 3 Yanjiao, East Beijing,101601, China a pym_001@ncist.edu.cn, b hcy_77@ncist.edu.cn, c qzhzhang@ncist.edu.cn Key words: forecasting; particle swarm optimization; RBF neural networks; gas emission Abstract.In order to improve the precision of gas emission forecasting,this paper proposes a new forecasting model based on Particle Swarm Optimization (PSO).PSO is a novel random optimization method which has extensive capability of global optimization.In the model, PSO is used to optimize the weight,width and center of RBF neural network and the optimal model is applied to forecast gas emission.The diversified factors analysised with grey correlation,MATLAB is employed to implement the model for gas emission forecasting.The simulation results show that the gas emission model optimized
In PSO algorithm, there is no direct recombination of genetic material between individuals during the search, which is different from GA or other evolutionary optimization methods.The PSO algorithm works on the social behavior of particles in the swarm.Therefore,it finds the global optimum solution by simply adjusting the trajectory of each individual toward its own best location and toward the best particle of the entire swarm at each step.
[8] ZHANG Ding-xue,GUAN Zhi-hong,LIU Xin-zhi.RBF Neural Network Algorithm Based on PSO Algorithm and Its Application.Computer Engineering and Applications, (2006),20,p 13-15.

Separation copper ions from aqueous solution by emulsion liquid membrane using novel PAMAMG4-1,2-octenoxid dendrimer as carrier Changhua Zhang (School of Chemistry and Chemical Engineering, Anhui University of Technology, 243002, China) Email: zhangchanghua163@126.com Key words: PAMAM, 1,2-octenoxid, dendrimer, emulsion liquid membrane, copper ions Abstract: PAMAMG4-1,2-octenoxid dendrimer was prepared and used as carrier in ELM to extract copper ions.
Material and methods 1,2-octenoxid was purchased from Sigma-Aldrich, and it had a purity of 98%.