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2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)最新文献

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Parametric optimization of a volumetric pneumatic actuator 容积式气动执行器的参数优化
Ivlev V. Isaakovich, Bozrov V. Mairovich, Misyurin S. Yurievich
Results of selecting the basic design parameters of the radial piston air motor which implement the maximal power output with the minimal compressed air consumption and the minimal dimensions are presented and based on the detailed mathematical model of the motor. The multicriteria optimization of systems with a great number of variable parameters and the decision support are used.
给出了以最小的压缩空气消耗和最小的尺寸实现最大输出功率的径向柱塞式气动马达基本设计参数的选择结果。采用了具有大量变参数系统的多准则优化和决策支持。
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引用次数: 0
Agent based mobile recommender system 基于Agent的移动推荐系统
Sahar Moin, M. Aslam, A. Enríquez
Social networking websites (SNS) are attaining a lot of recognition by researchers as they prove to be a reservoir of huge amount of data. These sites have revolutionized the world of technology by allowing their users to form a virtual world of their own. The main notion behind building the social networking websites is to bring people from all walks of life together, having some link with each other either on the base of their philosophies or ideas about life, or belonging to same occupational class, or sharing same thoughts and views, in a form of virtual community. SNSs provide a medium for people to remain in contact with their beloved ones, get global as well as local updates, and share their feelings with others. Additionally, these sites have also been used effectively for marketing and advertising almost every kind of products. Companies announce their pages while giving demonstrations of their items. Thus, SNS have basically emerged most common recommender engines. However, most of the times, unnecessary and irrelevant information are displayed on these social interaction pages which causes high data traffic and distract of user concentration. This issue becomes severe in case a user visits multiple social websites frequently. Thus, a personalized system is needed that could provide a single platform to make recommendations based on user's friends circle on different SNS sites. Different multi agent system architectures have been proposed to efficiently carryout different search and recommendation procedure but, little attention was given to the user interface. In this research, we solve this issue by the design and development of adaptable intelligent agent based interface. The objective is to intelligently present the personalize recommendations help a user to get what he needs from his social Web site in a blink of eye without wasting time in dealing with a complex search procedures.
社交网站(SNS)被证明是海量数据的储存库,因此得到了研究人员的广泛认可。这些网站通过允许用户形成自己的虚拟世界,彻底改变了技术世界。建立社交网站背后的主要理念是把各行各业的人聚集在一起,以一种虚拟社区的形式,基于他们的哲学或对生活的看法,或属于同一职业阶层,或分享相同的思想和观点,彼此建立某种联系。社交网站为人们提供了一种媒介,让他们与亲人保持联系,获得全球和本地的最新信息,并与他人分享自己的感受。此外,这些网站也被有效地用于几乎每一种产品的营销和广告。公司在展示产品的同时公布他们的页面。因此,SNS基本上出现了最常见的推荐引擎。然而,很多时候,这些社交页面上显示了不必要的、不相关的信息,造成了高数据流量,分散了用户的注意力。如果用户频繁访问多个社交网站,这个问题就会变得更加严重。因此,需要一个个性化的系统,可以提供一个单一的平台,根据用户在不同SNS网站上的朋友圈进行推荐。为了有效地执行不同的搜索和推荐过程,人们提出了不同的多智能体系统架构,但很少关注用户界面。在本研究中,我们通过设计和开发基于自适应智能体的接口来解决这一问题。目标是智能地呈现个性化的推荐,帮助用户在眨眼之间从他的社交网站获得他需要的东西,而不浪费时间处理复杂的搜索过程。
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引用次数: 2
Effect of transparent conductive oxide material and frontal interface on characteristics of Si:H p-i-n junction 透明导电氧化物材料和正面界面对Si:H -i-n结特性的影响
H. E. Martinez-Mateo, A. Kosarev
In this work we study the influence of frontal interface modification with titanium and carbon layers between p+-layer and transparent conductive oxide (TCO). Indium titanium oxide (ITO) and zinc oxide doped by aluminum (AZO) are used as TCO. Impact on performance characteristics is determined by current voltage measurements in dark and under AM1.5 illumination together with spectral measurements in the range of hν = 1.5 to 3.5 eV. The Si:H p-i-n structures with carbon film inserted between TCO and p+ layer as window show increase of the short circuit current by 37% compared to those without carbon film due to enhancement of short wavelength response.
本文研究了钛和碳层对p+层与透明导电氧化物(TCO)正面界面改性的影响。采用掺杂铝(AZO)的氧化铟钛(ITO)和氧化锌作为TCO。对性能特性的影响是通过黑暗和AM1.5照明下的电流电压测量以及hν = 1.5至3.5 eV范围内的光谱测量来确定的。在TCO和p+层之间插入碳膜作为窗口的Si:H -i-n结构,由于短波长的响应增强,短路电流比没有碳膜的结构增加了37%。
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引用次数: 0
Heart shaped monopole antenna with defected ground plane for UWB applications 超宽带应用中带缺陷地平面的心形单极天线
Cruz Ángel Figueroa Torres, J. L. M. Monroy, H. Lobato-Morales, R. A. Perez, A. Calvillo-Téllez
In this paper a monopole antenna with shape of heart for Ultra Wide Band (UWB) applications is proposed. The structure is a simple patch with shape of heart designed on FR-4 substrate and fed by a 50 Ohms microstrip line. The ground plane of the antenna has been modified including several defects to improve its behavior in matching and wideband. A parametric study has been performed to the semicircular slots located in the ground plane area. The frequency range measured for S11<;-10dB was from 2.7-26 GHz. The total dimensions of the antenna are 48×40mm (W × L).
提出了一种用于超宽带(UWB)应用的心形单极天线。该结构是在FR-4衬底上设计一个简单的心形贴片,由50欧姆微带线馈电。为了改善天线的匹配性能和宽带性能,对天线的接地面进行了改进。对位于地平面区域的半圆槽进行了参数化研究。S11< -10dB的测量频率范围为2.7- 26ghz。天线总尺寸为48×40mm(宽×长)。
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引用次数: 13
Towards an automatic counter of lunar craters 走向月球陨石坑的自动计数器
J. C. Gonzalez, A. Martín-González, J. Lugo-Jiménez, Víctor Uc Cetina
Quantification of impact craters on planetary surfaces is relevant to understand the geological history of the planet. In order to automatize quantification of lunar craters in digital images, the first step is to develop a computational tool capable of classifying a subwindow of pixels into two possible outputs: crater / non-crater. In this paper, we provide preliminary experimental results using an adaptive boosting algorithm to train a binary classifier for lunar crater identification. Using 30 weak classifiers we obtain 0.925 and 0.94 of sensitivity and specificity, respectively.
行星表面陨石坑的量化与了解地球的地质历史有关。为了在数字图像中自动量化月球陨石坑,第一步是开发一种计算工具,能够将像素子窗口分类为两种可能的输出:陨石坑/非陨石坑。在本文中,我们提供了初步的实验结果,使用自适应增强算法来训练用于月球陨石坑识别的二元分类器。使用30个弱分类器,我们分别获得0.925和0.94的敏感性和特异性。
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引用次数: 0
Space-time AER protocol receiver asynchronously controlled on FPGA 在FPGA上异步控制空时AER协议接收机
S. Ortega-Cisneros, J. J. Raygoza-Panduro, Daniel Tonali Aranda Bretón, J. R. Barón
Neuromorphic systems have been increasing in size and complexity in recent years, due to the adoption of the Address-Event Representation (AER) as a standard for transmitting signals among chips, and building multi-chip event-based systems. The data amount and speed are keys in address-event receiver devices. Actual receiver designs are based on VLSI and ASIC-FPGA implementation. In this article we present a receiver implemented on reconfigurable devices FPGA, preserving the virtues of useful reconfiguration for design and development inherent of FPGAs. We present the design of the receiver and experimental results, which show the data management capability and speed of reception.
近年来,由于采用地址-事件表示(AER)作为芯片之间传输信号的标准,以及构建基于多芯片事件的系统,神经形态系统的规模和复杂性不断增加。数据量和速度是地址事件接收设备的关键。实际的接收机设计基于VLSI和ASIC-FPGA实现。在本文中,我们提出了一个实现在可重构器件FPGA上的接收器,保留了FPGA固有的可重构设计和开发的优点。给出了接收机的设计方案和实验结果,验证了接收机的数据管理能力和接收速度。
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引用次数: 2
Maximum likelihood thresholding algorithm based on four-parameter gamma distributions 基于四参数伽马分布的最大似然阈值算法
Peter De-Ford, G. Martinez
In this contribution, we present a segmentation algorithm based on thresholding to subdivide an intensity image in the regions of object and background. The optimal threshold is found by maximizing a likelihood function derived from a novel intensity probability density function model, which consists of the sum of two weighted four-parameter gamma distributions, as a more flexible alternative to currently used models consisting of the sum of two weighted two-parameter Gaussian distributions. According to our experiments with 132 images, the proposed algorithm is in average slightly better than the best found in the scientific literature, performing particularly good in low contrast images. The additional parameters and complexity of its likelihood function resulted in an increase of the processing time by a factor of 3, from 0.003 sec/image to 0.009 sec/image.
在这篇贡献中,我们提出了一种基于阈值分割的分割算法来细分目标和背景区域的强度图像。最优阈值是通过最大似然函数找到的,该似然函数来自一个新的强度概率密度函数模型,该模型由两个加权四参数伽马分布的和组成,作为一个更灵活的替代目前使用的由两个加权两参数高斯分布的和组成的模型。根据我们对132张图像的实验,我们提出的算法平均比科学文献中发现的最佳算法略好,在低对比度图像中表现特别好。其似然函数的额外参数和复杂性导致处理时间增加了3倍,从0.003秒/图像增加到0.009秒/图像。
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引用次数: 1
Approximation algorithms for the Street sweeping problem 街道清扫问题的近似算法
Luis Francisco Hernández Sánchez, Laura Chávez-Lomelí, F. Martínez
The Street sweeping problem (SSP) is a variation of the Windy postman problem (WPP) in which we must construct two tours traversing every edge, and each edge must be traversed once in each direction: one on the first tour and the opposite in the second tour. The computational complexity of this problem remains open. We present a (3/2 α + 1)-approximation algorithm for the SSP using an α-approximation algorithm for the WPP. We also present exact algorithms for some classes of graphs.
扫街问题(SSP)是风邮差问题(WPP)的一个变体,在这个问题中,我们必须构造两次遍历每条边,每条边必须在每个方向上遍历一次:第一次遍历一次,第二次遍历一次。这个问题的计算复杂性仍然是开放的。利用WPP的α-近似算法,提出了SSP的(3/2 α + 1)近似算法。我们也给出了一些图的精确算法。
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引用次数: 0
Surface modified tin oxide pellets for CO gas sensing 一氧化碳气敏用表面改性氧化锡球团
T. Karthik, M. Olvera, A. Maldonado
Tin oxide (SnO2) powders were obtained by the homogeneous precipitation method by using urea as precipitation agent. The SnO2 powders were later ball milled for using a homemade stainless steel die and pressed with a pressing machine to manufacture thin pellets. After several experimental trials, stable SnO2 pellets were formed by manual pressing. Copper (Cu) modified SnO2 pellets (Cu-SnO2) were prepared by impregnation method. Manufactured pellets were surface modified from two different aqueous 1 wt% Cu solutions. The metallic copper residues were removed from a further heat treatment. Structural analysis was performed by X-Ray diffraction (XRD) to confirm the SnO2 rutile phase. The morphological and compositional characteristics of the pellets were analyzed by Scanning Electron Microscopy (SEM) and Energy dispersive spectrometry (EDAX) techniques, respectively. Later, silver contacts were deposited on the pellets surface by the thermal evaporation technique. The sensing properties of these pellets were measured in carbon monoxide (CO) atmosphere at different operation temperatures. Metallic copper crystals and porous CuO bars were formed on the surface of the pellets, depending on the impregnated solutions. The sensing properties of the SnO2 pellets were tested as a function of the gas concentration and measuring temperatures.
以尿素为沉淀剂,采用均匀沉淀法制备氧化锡(SnO2)粉末。然后用自制的不锈钢模具对SnO2粉末进行球磨,再用压片机进行压片,制成细颗粒。经过多次实验试验,采用人工压制法制备了稳定的SnO2球团。采用浸渍法制备了铜(Cu)改性SnO2球团(Cu-SnO2)。用两种不同的1wt % Cu水溶液对制备的球团进行表面改性。金属铜残留物在进一步热处理后被去除。采用x射线衍射(XRD)对SnO2金红石相进行了结构分析。采用扫描电镜(SEM)和能量色散光谱(EDAX)技术分别分析了颗粒的形态和成分特征。然后,通过热蒸发技术在球团表面沉积银触点。在一氧化碳(CO)气氛中,在不同的操作温度下测量了这些球团的传感性能。根据浸渍溶液的不同,金属铜晶体和多孔CuO棒在球团表面形成。测试了SnO2球团的传感性能随气体浓度和测量温度的变化。
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引用次数: 1
A genetic algorithm and cell mapping hybrid method for multi-objective optimization problems 多目标优化问题的遗传算法与细胞映射混合方法
Y. Naranjani, Y. Sardahi, Jianqiao Sun
In this paper, a hybrid multi-objective optimization (MOO) algorithm consisting of an integration of the genetic algorithm (GA) and the simple cell mapping (SCM) is proposed. The GA converges quickly toward a solution neighborhood, but it takes a considerable amount of time to converge to the Pareto set. The SCM can find the global solution because it sweeps the whole space of interest. However, the computational effort grows exponentially with the dimension of the design space. In the hybrid algorithm, the GA is used initially to find a rough solution for the multi-objective optimization problem (MOP). Then, the SCM method takes over to find the non-dominated solutions in each region returned by the GA. It should be pointed out that one point near or on the Pareto set is enough for the SCM to recover the rest of the solution in the region. For comparison purpose, the hybrid algorithm, the GA and SCM methods are applied to solve some of benchmark problems with the Hausdorff distance, number of function evaluations and CPU time as performance metrics. The results show that the hybrid algorithm outperforms other methods with a modest computational time increase. Although the hybrid algorithm does not guarantee finding the global solution, it has much improved chance as demonstrated by one of the benchmark problems.
本文提出了一种将遗传算法(GA)与简单细胞映射(SCM)相结合的混合多目标优化算法(MOO)。该算法快速收敛于解邻域,但收敛到Pareto集需要相当长的时间。SCM可以找到全局解决方案,因为它扫描了整个兴趣空间。然而,计算工作量随着设计空间的维度呈指数增长。在混合算法中,首先使用遗传算法寻找多目标优化问题(MOP)的粗糙解。然后,SCM方法接管在遗传算法返回的每个区域中寻找非支配解。应该指出的是,在Pareto集合附近或上的一个点足以使SCM恢复该区域内的其余解。为了比较,采用混合算法、遗传算法和单片机方法,以Hausdorff距离、函数评估次数和CPU时间为性能指标,解决了一些基准问题。结果表明,混合算法在计算时间适度增加的情况下优于其他方法。虽然混合算法不能保证找到全局解,但通过一个基准问题证明,混合算法的概率大大提高。
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引用次数: 7
期刊
2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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