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Fabrication and characterisation of nanostructure step height sample 纳米结构台阶高度样品的制备与表征
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-07-27 DOI: 10.1504/ijcsm.2020.10030825
F. Xu, Xiao-tong Wu, Chun-long Zou, Sheng-Huai Wang, Yu-ning Zhong
Step height calibration sample is a high-precision height (depth) standard transfer material for correcting the Z-axis characteristic parameter values of surface structure measuring instruments such as AFM, SEM and white light interferometer. It has the characteristics of accurate value transfer and small size structure. According to the traceability value of VLSI step height standard, step structure calibration samples with nominal height of 8 nm, 18 nm and 44 nm were fabricated by inductively coupled plasma (ICP) etching and lithography, and the height and surface roughness of the step structures are evaluated by AFM. The experimental results show that the standard deviation of the step height calculated by the algorithm is 0.820 nm, 0.770 nm, 1.786 nm, respectively. The upper surface roughness of the step structure was the surface roughness of the SiO2 film. The roughness of the bottom surface was related to the surface quality of SiO2 film, ICP etching process parameters.
台阶高度校准样品是一种高精度的高度(深度)标准传递材料,用于校正AFM、SEM、白光干涉仪等表面结构测量仪器的z轴特征参数值。它具有值传递准确、结构尺寸小的特点。根据VLSI台阶高度标准的可追溯性值,采用电感耦合等离子体刻蚀和光刻技术制备了标称高度为8 nm、18 nm和44 nm的台阶结构标定样品,并利用原子力显微镜对台阶结构的高度和表面粗糙度进行了评价。实验结果表明,该算法计算的步长标准差分别为0.820 nm、0.770 nm、1.786 nm。阶梯结构的上表面粗糙度为SiO2膜的表面粗糙度。底表面粗糙度与SiO2膜表面质量、ICP刻蚀工艺参数有关。
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引用次数: 1
McEliece cryptosystem: simulation and security vulnerabilities McEliece密码系统:模拟与安全漏洞
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2020-07-27 DOI: 10.1504/ijcsm.2020.10030822
Rakesh Kumar, Allu Swamy Naidu, Ajeet Singh, A. Tentu
While symmetric key cryptosystems utilise single private key at both ends for encryption and decryption purposes and this mentioned scenario gives advantages of better speed-up as compare to public key cryptosystems. Still, security is a challenge while performing compatibly efficient key distribution and secure private data transfer among entities in an untrusted environment. McEliece cryptosystem, designed in 1978, is a public key based cryptosystem whose security is based on some unknown natured error-correcting codes. This paper gives state-of-the-art detailed overview on this cryptosystem, its component-wise algorithmic description and implementation. Various attacks on McEliece cryptosystem are discussed separately. The experimental results employing Goppa codes are also presented in the paper where the simulations are performed on various extension degrees. Based on the simulations performed, we concluded the results along with the various issues faced while implementation.
而对称密钥密码系统在两端使用单个私钥进行加密和解密,并且与公钥密码系统相比,上述场景具有更好的加速优势。尽管如此,在不受信任的环境中,在实体之间执行兼容高效的密钥分发和安全的私有数据传输时,安全性仍然是一个挑战。McEliece密码系统设计于1978年,是一种基于公钥的密码系统,其安全性基于一些未知性质的纠错码。本文对该密码系统及其组件算法描述和实现进行了最新的详细概述。分别讨论了对McEliece密码系统的各种攻击。文中还给出了采用Goppa码的实验结果,其中对不同的扩展度进行了仿真。基于所进行的模拟,我们总结了结果以及在实施过程中面临的各种问题。
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引用次数: 0
Power control of wind energy conversion system under multiple operating regimes with deep residual recurrent neural network: theory and experiment 基于深度残差递归神经网络的风能转换系统多工况功率控制理论与实验
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2019-10-01 DOI: 10.1504/ijcsm.2019.10024360
Zhongli Shen, Yuguang Niu, Yi Zuo, Qiyue Xie, Zhisheng Chen
This paper makes a research for the speed control of wind turbine system under multiple operating regimes, which also studied the sleep residual recurrent neural network method in this work. We aim at designing deep residual recurrent neural network robust controllers, which guarantee the existence of the multiple regime system poles in some predefined zone and wind speed precise tracking. Moreover, the feedback gains which guarantee desired speed tracking performance are obtained by solving the Lyapunov stability functions. The results are applied to a directly driven wind energy conversion experiment systems and the numerical experiment, comparing with the existing results, shows the satisfactory performance of the proposed method.
本文对风力发电机组多工况下的转速控制进行了研究,并对睡眠残差递归神经网络方法进行了研究。我们的目标是设计深度残差递归神经网络鲁棒控制器,以保证多区域系统极点的存在和风速的精确跟踪。此外,通过求解Lyapunov稳定性函数获得了保证理想速度跟踪性能的反馈增益。将所得结果应用于一个直接驱动的风能转换实验系统,数值实验结果与已有结果进行了比较,结果表明所提方法具有满意的性能。
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引用次数: 3
Real-time online action detection and segmentation using improved efficient linear search 实时在线动作检测和分割使用改进的高效线性搜索
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2019-03-13 DOI: 10.1504/IJCSM.2019.10019869
Wang Shiye, Yu Zhezhou, Yu Xiangchun
More and more attention has been paid to linear-time online action detection and video segmentation, due to wide application in the fields of human-computer interaction, games and surveillance. In this paper we propose a new descriptor which can be adopted for action recognition, online action detection and segmentation. In addition, we propose the improved efficient linear search (improved ELS) whose scheme is modified to solve the problem of the existence of many action classes' maximum subarray sums exceeding their thresholds. Then we evaluated our approach on MSRC-12 and MSR-Action3D datasets. The results show that our descriptor achieves the state-of-the-art results on action recognition and the performance of the improved ELS is much higher than that of the ELS.
线性时间在线动作检测和视频分割由于在人机交互、游戏和监控领域的广泛应用而越来越受到关注。在本文中,我们提出了一种新的描述符,它可以用于动作识别、在线动作检测和分割。此外,我们提出了改进的高效线性搜索(改进的ELS),其方案被修改以解决许多动作类的最大子数组和超过其阈值的问题。然后,我们在MSRC-12和MSR-Action3D数据集上评估了我们的方法。结果表明,我们的描述符在动作识别方面取得了最先进的结果,改进的ELS的性能远高于ELS。
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引用次数: 2
Public Key and Leveled Attributes Access Policy Oriented Fully Homomorphic Encryption Scheme 面向公钥和分级属性访问策略的全同态加密方案
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2019-01-01 DOI: 10.1504/ijcsm.2019.10027458
Biksham Vankudoth, Vasumathi Devara
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引用次数: 0
Design and contact analysis of gripper for tube inspection robots 管道检测机器人夹持器设计与接触分析
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-09-13 DOI: 10.1504/IJCSM.2018.10015909
Li Qi, Qi Lili, L. Weiwei, Zhang Zhiqiang
Automatic robots have been extensively employed to inspect steam generator (SG) tubes. Positioning and fixation of robots underneath tube-sheet plates are enabled by tube grippers. In this paper, configuration design and performance analysis of a new tube gripper were carried out. To calculate the gripper's load capacity, numerical analysis was used to establish finite element (FE) model of the gripper. Furthermore, orthogonal experiment and statistical methods combined with FE analysis were adopted to explore the influence on contact between the gripper and the tube's inner wall by manufacturing tolerance. Three factors of dimension and form tolerance were selected in sensitivity analysis. The influencing factors of contact stress were analysed by analysis of variance (ANOVA). Physical prototype experiment results were provided to validate the design rationality. Results of analysis and actual tests proved that the gripper with inelastic fingers exhibited excellent load capacity, superior contact performance and longer service life time.
自动机器人被广泛应用于蒸汽发生器(SG)管道的检测。机器人在管板下的定位和固定由管夹实现。本文对一种新型钢管夹持器进行了结构设计和性能分析。为了计算夹持器的承载能力,采用数值分析方法建立了夹持器的有限元模型。采用正交试验和统计方法结合有限元分析,探讨了制造公差对夹持器与管壁接触的影响。选取尺寸和形状公差三个因素进行敏感性分析。采用方差分析(ANOVA)对接触应力的影响因素进行分析。实物样机实验结果验证了设计的合理性。分析和实际试验结果表明,非弹性指爪具有良好的承载能力、良好的接触性能和较长的使用寿命。
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引用次数: 0
A high-efficient multi-deme genetic algorithm with better load-balance 一种具有较好负载平衡性的高效多deme遗传算法
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-07-12 DOI: 10.1504/IJCSM.2018.10014228
Wang Jie, Yuan Jiangjun
Genetic algorithm is a very powerful search algorithm that fits for many complex situations. However, it is very time consuming, which limits its usage. Previous work which makes use of multi-core systems to parallelise it performs well and gains much attention. This paper introduces that the load-imbalance problem in parallel genetic algorithm will incur large overhead and will limit the performance. We propose two efficient mechanisms (postponed waiting and work stealing) to achieve fine-grained schedule to solve the problem. Compared with traditional multi-deme parallel genetic algorithm, our high-efficient multi-deme genetic algorithm (HMGA) can achieve an average speedup of 1.36.
遗传算法是一种非常强大的搜索算法,适用于许多复杂的情况。然而,它非常耗时,这限制了它的使用。以往利用多核系统对其进行并行化处理的工作表现良好,受到了广泛关注。本文介绍了并行遗传算法中的负载不平衡问题,该问题会产生较大的开销并限制算法的性能。我们提出了两种有效的机制(延迟等待和工作窃取)来实现细粒度调度来解决问题。与传统的多deme并行遗传算法相比,我们的高效多deme遗传算法(HMGA)可以实现1.36的平均加速。
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引用次数: 1
Analysis of flow field of hydrodynamic suspension polishing disk based on multi-fractal method 基于多重分形方法的流体动力悬浮抛光盘流场分析
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-03-29 DOI: 10.1504/IJCSM.2018.10011724
Shan Xiaohang, Ye Biqing, Zhang Li
Amorphous film is an important amorphous material, which has a wide application prospect in the aspects of electronics, mechanics, chemical industry, national defence and so on. The quality of amorphous film substrate has a significant impact in the amorphous film performance. Hydrodynamic suspension polishing is a super-smooth and non-damage polishing method, which is suitable for the processing of amorphous film substrate. The characteristic of disk's flow field is the key factor for influencing the quality of polishing. The movement and distribution of abrasives in flow field is analysed in this paper by high speed photography technology. The distribution of bubbles and abrasives is extracted by MATLAB in the dynamic flow field of hydrodynamic suspension polishing based on fractal and multi-fractal theory. The multi-fractal spectrum is calculated and the association of multi-fractal spectra is analysed. The results show that when buoyancy meets the requirement, the lower the polishing disk rotational speed, the more uniform abrasive distribution. Polishing effect will be better with well continuity of polishing slurry.
非晶薄膜是一种重要的非晶材料,在电子、机械、化工、国防等方面有着广泛的应用前景。非晶薄膜衬底的质量对非晶薄膜的性能有重要的影响。流体动力悬浮抛光是一种超光滑、无损伤的抛光方法,适用于非晶态薄膜基片的加工。圆盘流场特性是影响抛光质量的关键因素。利用高速摄影技术对磨料在流场中的运动和分布进行了分析。基于分形和多重分形理论,利用MATLAB对流体动力悬浮抛光流场中气泡和磨料的分布进行提取。计算了多重分形谱,分析了多重分形谱之间的关联。结果表明:当浮力满足要求时,抛光盘转速越低,磨料分布越均匀;抛光液连续性好,抛光效果更好。
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引用次数: 1
Optimal path for mobile aggregator in intelligence agriculture 智能农业中移动聚合器的最优路径
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2018-03-29 DOI: 10.1504/IJCSM.2018.10011727
Yuan Jiangjun, Wang Jie
'Intelligent agriculture' is intelligent agriculture expert system. With the development of mobile device and unmanned aerial vehicle technology, modern agricultural producer has been able to use mobile aggregator to collect real-time data in greenhouses. The sensor nodes around all the greenhouses compose a wireless sensor network. And the mobile aggregator is responsible for the data aggregation for intelligent agriculture. In order to reduce the energy consumption of mobile aggregator, we usually can decrease the distance of the mobile aggregator to collect the data around all the greenhouses. By designing an optimal path through all the greenhouses, the energy consumption of the mobile aggregator can be greatly decreased. In this paper, we use genetic algorithm to solve the optimal path problem. With two experiments, we can get some guidelines when use genetic algorithm to solve the optimal path problem.
“智能农业”是智能农业专家系统。随着移动设备和无人机技术的发展,现代农业生产者已经能够利用移动聚合器对大棚进行实时数据采集。所有温室周围的传感器节点组成了一个无线传感器网络。而移动聚合器则负责智能农业的数据聚合。为了减少移动聚合器的能耗,我们通常可以减少移动聚合器的距离来收集所有温室周围的数据。通过设计一条穿过所有温室的最优路径,可以大大降低移动聚合器的能耗。本文采用遗传算法求解最优路径问题。通过两个实验,对遗传算法求解最优路径问题有一定的指导意义。
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引用次数: 0
Bifurcation analysis of H H
IF 0.8 Q4 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2017-01-01 DOI: 10.1504/IJCSM.2017.10007951
I. Djellit, W. Selmani
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引用次数: 0
期刊
International Journal of Computing Science and Mathematics
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