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Search Results: 1 - 10 of 36496 matches for " Ke Sun "
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Full Band Gap and Defects States in Solid-in-Solid Three Dimensional Phononic Crystals
Ke Sun,Z. Yang
Physics , 2012,
Abstract: A full band gap of the longitudinal mode of elastic waves centered near 2.8 MHz with a width of ~ 1 MHz has been observed in the phononic crystals made of body centered tetragonal tungsten carbide spheres imbedded in aluminum matrix. Two defects states in the band gap due to a 7-sphere defect cluster with silicon nitride spheres have also been observed. Transmitted pressure field pattern clearly shows that at the defect state frequencies the ultrasonic waves transmitted through the doped crystal are emitted from the defect cluster.
A Routing Protocol for Wireless Sensor Networks with Congestion Control  [PDF]
Qi Li, Zongwu Ke, Duanfeng Xia, Yuxia Sun
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.53B2030
Abstract: This paper proposed a novel RED protocol which takes the node’s energy into account depending on the length of the data packet. It also proposed a routing protocol for wireless sensor networks with congestion control which imitates the ant colony foraging behavior. Sensor nodes choose routings according to the pheromone density. The experiment result shows that the algorithm balances the energy consumption of each node. It mitigated congestion effectively with the proposed routing protocol.
Research on Dynamic Clustering Routing Considering Node Load for Wireless Sensor Networks  [PDF]
Yi Sun, Can Cui, Shanshan Ke, Jun Lu
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.53B2093

Aiming at the problem that node load is rarely considered in existing clustering routing algorithm for Wireless Sensor Networks (WSNs), a dynamic clustering routing algorithm for WSN is presented in this paper called DCRCL (Dynamic Clustering Routing Considering Load). This algorithm is comprised of three phases including cluster head (CH) selection, cluster setup and inter-cluster routing. First, the CHs are selected based on residual energy and node load. Then the non-CH nodes choose a cluster by comparing the cost function of its neighbor CHs. At last, each CH communicates with base station by using multi-hop communication. The simulation results show that comparing with the existing one, the techniques life cycle and date volume of the network are increased by 30.7 percent and 29.8 percent respectively by using the proposed algorithm DCRCL.

Application of Structural Breakpoint Test to the Correlation Analysis between Crude Oil Price and U.S. Weekly Leading Index  [PDF]
Yi Xiong, Shaopeng Sun, Zicheng Wang, Ke Wang, Li Liu
Open Journal of Business and Management (OJBM) , 2016, DOI: 10.4236/ojbm.2016.42034
Abstract: The paper examines the relationship between crude oil price and U.S. weekly leading index. The relationship between these two variables was unstable in long-run, so we explored the structural breakpoints from January 1995 to August 2015 by Bai-Perron breakpoint test. The results show that the causal relationships between two variables in different periods are different. We distinguish different periods from the breakpoints, and explain the main reasons for change of the casual relationships. Through this theory, the market can have a better prediction for the crude oil price base on weekly leading index.
Carboniferous and Permian Floras in China

SUN Ke-Qin,

植物学报 , 2001,
Abstract: 本文总结和讨论了中国石炭纪和二叠纪植物群分布特征,在对植物群成分分析的基础上,认为中国早石炭世(杜内期、维宪期和纳缪尔A期)分布一个全球一致性的植物群,即拟鳞木植物群Lepidodendropsis flora。中国的晚石炭世(纳缪尔B_C期、维斯发期和斯蒂芬期)和二叠纪植物群为华夏植物群。本文还对北方华夏植物群亚区和南方华夏植物群亚区植物群进行了对比,并论述了这两个植物群在组成成分上的差异。
Studies on the Relation between the Composition of Thermal Sensitive MnZn Ferrite and Curie Temperature
Mengkui WANG,Junyue WANG,Ke SUN,

材料科学技术学报 , 2000,
Abstract: Thermal sensitive MnZn ferrite is a kind of soft magnetic ferrite material with lower Curie temperature (T-C) and can be used to make many kinds of magnetic thermal sensitive sensors with high sensitivity. In this paper, the relation between the composition of thermal sensitive ferrite and T-C was studied. It was found that T-C changes linearly with ZnO extent when the content of Fe2O3 is fixed. Based on lots of experiments, an experimential formula to determine T-C was given out.
Experimental study of aerosol distribution and concentration variation through curved ducts
Sun Ke,Lu Lin,Jiang Hai
Thermal Science , 2012, DOI: 10.2298/tsci1205437s
Abstract: This paper presents an experimental investigation of an aerosol problem by adopting two methods. One approach utilizes scanning electron microscope to study the realistic aerosol deposition status in a typical duct bend. Through scanning electron microscope images and on-site observation, the aerosols tend to deposit and accumulate more on the outer bend wall and bend outlet wall. The other approach is to design systematic experiments to measure aerosol concentration variation and distribution through 90-degree curved ducts. This experimental method is simple for realistic applications. Measured results show that the average particle volume concentration diverges greatly after flowing through the bend. The loading ability decreases significantly for larger particles at bend outlet under higher Dean number.
Mathematical Model and Hybrid Scatter Search for Cost Driven Job-shop Scheduling Problem
Bai Jie,Sun Kai,Yang Gen Ke
Journal of Networks , 2011, DOI: 10.4304/jnw.6.7.974-981
Abstract: Job-shop scheduling problem (JSP) is one of the most well-known machine scheduling problems and one of the strongly NP-hard combinatorial optimization problems. Cost optimization is an attractive and critical research and development area for both academic and industrial societies. This paper presents a cost driven model of the job-shop scheduling problem in which the solutions are driven by business inputs, such as the cost of the product transitions, revenue loss due to the machine idle time and earliness/tardiness penalty. And then, a new hybrid scatter search algorithm is proposed to solve the cost driven job-shop scheduling problem by introducing the simulated annealing (SA) into the improvement method of scatter search (SS). In order to illustrate the effectiveness of the hybrid method, some test problems are generated, and the performance of the proposed method is compared with other evolutionary algorithms such as genetic algorithm and simulated annealing. The experimental simulation tests show that the hybrid method is quite effective at solving the cost driven job-shop scheduling problem.
Nonlinear Refraction of Peripheral-Substituted Zinc Phthalocyanines Investigated by Nanosecond and Picose-cond Z Scans  [PDF]
Yunjing Li, Timothy M Pritchett, Jiandong Huang, Meirong Ke, Wenfang Sun
Optics and Photonics Journal (OPJ) , 2011, DOI: 10.4236/opj.2011.12011
Abstract: The singlet and triplet excited-state refraction cross-sections of dimethyl sulfoxide (DMSO) solutions of ten zinc phthalocyanine derivatives with mono-or tetra-peripheral substituents at 532 nm were obtained by simultaneous fitting of closed-aperture Z scans with both nanosecond and picosecond pulse widths. Self-focusing of both nanosecond and picosecond laser pulses was observed in all complexes at 532-nm wavelength. The complexes with tetra-substituents at the ?-position exhibit relatively larger refraction cross-sections than the other complexes. The wavelength dependence of the singlet refraction cross-section of a representative complex was observed to be non-monotonic in the range of 470 - 550 nm.
Adaptive Sparse Representation for Source Localization with Gain/Phase Errors
Ke Sun,Yimin Liu,Huadong Meng,Xiqin Wang
Sensors , 2011, DOI: 10.3390/s110504780
Abstract: Sparse representation (SR) algorithms can be implemented for high-resolution direction of arrival (DOA) estimation. Additionally, SR can effectively separate the coherent signal sources because the spectrum estimation is based on the optimization technique, such as the L1 norm minimization, but not on subspace orthogonality. However, in the actual source localization scenario, an unknown gain/phase error between the array sensors is inevitable. Due to this nonideal factor, the predefined overcomplete basis mismatches the actual array manifold so that the estimation performance is degraded in SR. In this paper, an adaptive SR algorithm is proposed to improve the robustness with respect to the gain/phase error, where the overcomplete basis is dynamically adjusted using multiple snapshots and the sparse solution is adaptively acquired to match with the actual scenario. The simulation results demonstrate the estimation robustness to the gain/phase error using the proposed method.
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