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2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献

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Code compression and runtime code decompression in embedded systems 嵌入式系统中的代码压缩和运行时代码解压缩
A. B. A. Dumitru, C. A. Popu
The paper describes a method for compression of functions code located in non-volatile memory of an embedded system after the link/locate phase, decompression of these functions before executed in volatile memory of the embedded system and execution of these decompressed functions by the embedded system[3]. The idea is not focused on compression method (which can be other innovative matter), but in how to implement all the described phases in an embedded project in a simple and time efficient way.
本文描述了一种方法,该方法在链接/定位阶段之后对位于嵌入式系统非易失性存储器中的函数代码进行压缩,在嵌入式系统易失性存储器中执行这些函数之前对这些函数进行解压缩,并由嵌入式系统[3]执行这些解压缩后的函数。这个想法不是专注于压缩方法(这可能是其他创新的事情),而是如何以一种简单和有效的方式在嵌入式项目中实现所描述的所有阶段。
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引用次数: 0
Fuzzy reasoning for medical diagnosis-based aggregation on different ontologies 基于不同本体聚合的医学诊断模糊推理
H. Fujita, I. Rudas, J. Fodor, M. Kurematsu, J. Hakura
The paper discusses reasoning application for decision making in medical diagnosis. This is to reason on medical concepts that are viewed on two type ontologies; namely physical and mental. We highlighted in this position paper issues on fuzzy reasoning by aggregating two types of ontologies that are used to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. Similarity matching is used to find the similarity between fuzzy set reflected to mental fuzzy ontology, and physical fuzzy ontology. The alignment is projected on medical ontology to rank attributes for decision making. We apply aggregate function for ranking attributes related to physical object. In the same time, we apply harmonic power average aggregate function fuzzy for ranking attributes related to mental objects. The alignment of these two aggregate function produce weighted ranking order fuzzy set for medical decision making for diagnosis. The paper highlights these issues as new challenges extending intelligence reasoning of VDS.
论述了推理在医学诊断决策中的应用。这是对两种类型本体论上的医学概念的推理;即身体和精神。在这篇立场文件中,我们通过汇总用于形式化患者状态的两种类型的本体来强调模糊推理问题:反映由于某种疾病而导致的患者心理行为的心理本体和反映通过疾病表现出的观察到的身体行为的物理本体。相似度匹配是用来寻找反映在心理模糊本体上的模糊集与物理模糊本体之间的相似度。将对齐映射到医学本体上,对属性进行排序,以便进行决策。我们应用聚合函数对与物理对象相关的属性进行排序。同时,采用谐波幂平均聚合函数模糊对心理对象相关属性进行排序。这两个集合函数的对齐产生加权排序模糊集,用于医疗决策的诊断。本文将这些问题作为扩展VDS智能推理的新挑战。
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引用次数: 14
Experimental study on time complexity of GOSCL algorithm for sparse data tables 稀疏数据表GOSCL算法时间复杂度的实验研究
P. Butka, J. Pócsová, J. Pócs
In this paper we provide experimental study on time complexity of GOSCL algorithm according to the sparseness of the input data table. GOSCL is incremental algorithm for the creation of Generalized One-Sided Concept Lattices, which is related to well-known Formal Concept Analysis area, but with the possibility to work with different types of attributes and to produce one-sided concept lattice from the generalized one-sided formal context. Generally, FCA-based algorithms are exponential. However, in practice there are many inputs for which the complexity is reduced. One of the special cases is related to the high number of "zeros" (bottom elements) in data table for so-called sparse data matrices, which is characteristic for some inputs like document-term matrix in text-mining analysis. We describe experimentally the influence of sparseness of data tables on time complexity of GOSCL with different distributions of zeros generated artificially randomly or according to the standard text-mining datasets.
本文根据输入数据表的稀疏性对GOSCL算法的时间复杂度进行了实验研究。GOSCL是一种用于创建广义单侧概念格的增量算法,它与众所周知的形式概念分析领域有关,但可以处理不同类型的属性,并从广义单侧形式上下文中生成单侧概念格。一般来说,基于fca的算法是指数型的。然而,在实践中,有许多输入可以降低复杂性。其中一个特殊情况与所谓的稀疏数据矩阵的数据表中的大量“零”(底部元素)有关,这是文本挖掘分析中的文档术语矩阵等某些输入的特征。我们通过实验描述了数据表的稀疏性对GOSCL的时间复杂度的影响,这些GOSCL具有人工随机生成的零分布和根据标准文本挖掘数据集生成的零分布。
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引用次数: 7
Dynamics of the diesel-wind system with asynchronous generators 带异步发电机的柴油-风力系统动力学
M. Babescu, C. Șorândaru, S. Musuroi, M. Svoboda
This paper proposes an original method of determining the maximum power function point of a wind turbine at variable wind speeds. There are presented the non-linear equations which model the wind turbine (WT), the diesel engine (DE) and the asynchronous generator (AG). The advantages of using the asynchronous versus synchronous generators are also outlined.
本文提出了一种确定变风速下风力机最大功率功能点的新方法。提出了风电机组、柴油机和异步发电机的非线性模型。还概述了使用异步生成器与同步生成器的优点。
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引用次数: 0
New approximation algorithm for the force of Fluidic Muscles 流体肌肉力的新近似算法
J. Sárosi
The newest and most promising type of pneumatic actuators is the pneumatic artificial muscle (PAM). Different designs have been developed, but the McKibben muscle is the most popular and is made commercially available by different companies (e. g. Fluidic Muscle manufactured by Festo Company). Pneumatic artificial muscles have a wide range of use in industrial and medical fields. There are a lot of advantages of these muscles like the high strength, good power-weight ratio, low price, little maintenance needed, great compliance, compactness, inherent safety and usage in rough environments. The main disadvantage is that their dynamic behavior is highly nonlinear. The most often mentioned characteristic of PAMs is the force as a function of pressure and contraction. In this paper our newest function approximation for the force generated by Fluidic Muscles is shown that can be generally used for different muscles made by Festo Company.
最新和最有前途的气动执行器类型是气动人工肌肉(PAM)。已经开发了不同的设计,但McKibben肌肉是最受欢迎的,并由不同的公司(例如Festo公司制造的流体肌肉)商业化。气动人造肌肉在工业和医疗领域有着广泛的用途。这些肌肉有很多优点,如高强度,良好的功率重量比,价格低廉,几乎不需要维护,很大的顺应性,紧凑性,固有的安全性和恶劣环境的使用。主要的缺点是它们的动力行为是高度非线性的。pam最常提到的特性是压力和收缩作用下的力。本文给出了流体肌肉产生的力的最新函数近似,该近似可以普遍适用于Festo公司生产的不同类型的肌肉。
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引用次数: 34
A model of the control function in the case of constant effort of the cardiovascular system 在心血管系统不断努力的情况下的控制功能模型
A. Dan, T. Dragomir
Although the cardiovascular process model is well formed, the shape of the control function which complements the ensemble as a control system is still an open question. The paper presents a new structure of the ensemble that handles the control mechanism using a two terms control signal and offers a simple solution for modeling the response of the cardiovascular system to constant exercise. The proposed model is implemented and simulated in Matlab-Simulink. The heart rate and arterial systemic pressure responses to the exercise scenario are compared with the ones obtained by the implementation of cardiovascular system as a solution of a linear quadratic control problem.
虽然心血管过程模型已经形成,但作为控制系统补充的控制函数的形状仍然是一个悬而未决的问题。本文提出了一种利用两项控制信号处理控制机制的集成结构,并为心血管系统对持续运动的响应建模提供了一种简单的解决方案。在Matlab-Simulink中对该模型进行了实现和仿真。将运动场景下的心率和动脉体压响应与心血管系统作为线性二次控制问题的解得到的响应进行了比较。
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引用次数: 3
A multinomial - Hidden Markov model for communication systems influenced by external factors 受外部因素影响的通信系统的多项隐马尔可夫模型
Marina-Anca Cidotã, M. Dumitrescu
The paper proposes an extension of Hidden Markov models for communication systems that are influenced by external "catalyzers" (e.g. environmental or experimental conditions). A simpler version of the model, the Logistic HMM (LHMM), was already introduced by the authors. In comparison with LHMM, this new extension of HMM allows the catalyzer to have multiple components, expressing the influence over the system through multinomial link functions. A possible application of the Multinomial Hidden Markov model (MHMM) could be in bio-informatics for example, to predict under different external conditions (different quantities of calcium channel blockers CCB and some antioxidants AO) the behavior of the calcium channel that holds an essential part in controlling the blood pressure. We introduce a training algorithm for MHMM based on the BaumWelch scheme, including nested algorithms for optimization such as the Newton - Raphson and the Expectation-Maximization technique for updating the parameters of the model. In order to explore the convergence of the proposed training procedure, a simulation study is provided.
本文提出了受外部“催化剂”(例如环境或实验条件)影响的通信系统的隐马尔可夫模型的扩展。该模型的一个更简单的版本,Logistic HMM (LHMM),已经被作者引入。与LHMM相比,这种新的HMM扩展允许催化剂具有多个组分,通过多项链接函数表达对系统的影响。多项隐马尔可夫模型(MHMM)的一个可能应用是生物信息学,例如,预测在不同的外部条件下(不同数量的钙通道阻滞剂CCB和一些抗氧化剂AO)钙通道的行为,钙通道在控制血压中起重要作用。我们介绍了一种基于BaumWelch方案的MHMM训练算法,包括用于优化的嵌套算法,如Newton - Raphson算法和用于更新模型参数的期望最大化技术。为了探索所提出的训练过程的收敛性,进行了仿真研究。
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引用次数: 2
A modified fast block LMS acoustic feedback cancellation for hearing aids 一种用于助听器的改进快速块LMS声反馈消除
H. Charafeddine, V. Groza
Conventional adaptive feedback cancellers (FBC) exhibit poor performance for acoustic leakage reduction in hearing aids. In this paper, a modified frequency domain fast block least mean square (LMS) adaptive feedback canceller is proposed that provides good cancellation efficiency, convergence behavior, and more efficient hardware complexity when compared to the time domain LMS approach.
传统的自适应反馈消除器(FBC)在减少助听器的声漏方面表现不佳。本文提出了一种改进的频域快速块最小均方(LMS)自适应反馈对消器,与时域LMS方法相比,该方法具有良好的对消效率、收敛性和更低的硬件复杂度。
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引用次数: 0
Simulation of MNOS memory hysteresis - Effect of layer thicknesses MNOS记忆迟滞的模拟——层厚度的影响
K. Molnár, Z. Horváth
MNOS memory hysteresis curves are simulated by integrating the difference of the current via the oxide and nitride layer. The effect of the oxide and nitride thickness as well as the depth of charge centeroid is studied. The results indicate that the optimal oxide thickness is about 2 nm. A thin nitride layer decreases the efficiency of the injected charge. It has been obtained that the possible highest memory window width decreases monotonically with increasing depth of charge centroid.
通过对氧化氮层电流差的积分,模拟了MNOS的记忆滞后曲线。研究了氧化层和氮层厚度以及电荷质心深度的影响。结果表明,最佳的氧化层厚度约为2 nm。较薄的氮化物层降低了注入电荷的效率。结果表明,随着电荷质心深度的增加,可能的最高存储器窗宽单调减小。
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引用次数: 2
HMail: A hybrid mailing system based on the collaboration between traditional and Peer-to-Peer mailing architectures HMail:一个基于传统和点对点邮件架构协作的混合邮件系统
Patrik Emanuel Mezö, M. Vladutiu, L. Prodan
Current mailing systems have adopted a server-centric model in handling email traffic over the Internet. Although the traditional mailing providers employ a large number of servers where mail operations are evenly distributed, all the emails are routed to a central gateway, resulting in accessibility issues if the gateway link is severed. Moreover, the necessity of having dedicated buildings and trained personnel for handling large email operations and network traffic is unavoidable. This paper introduces a new mailing architecture design by combining our research activities on developing a hierarchical Peer-to-Peer (P2P) framework and resource evaluation methods of a certain peer in the network. We also group users according to their geographical distribution for assuring a load-balance in network traffic regarding email operations and present a way that helps the traditional mailing architecture rely on certain Peer-to-Peer decision blocks.
当前的邮件系统在处理Internet上的电子邮件流量时采用了以服务器为中心的模型。尽管传统的邮件提供商使用大量服务器,其中邮件操作是均匀分布的,但所有的电子邮件都路由到一个中央网关,如果网关链接被切断,就会导致可访问性问题。此外,必须有专门的建筑物和训练有素的人员来处理大型电子邮件操作和网络流量,这是不可避免的。本文结合我们在开发层次对等(P2P)框架和网络中某一节点的资源评估方法方面的研究活动,介绍了一种新的邮件体系结构设计。我们还根据用户的地理分布对其进行分组,以确保与电子邮件操作有关的网络流量的负载平衡,并提出了一种方法,帮助传统的邮件架构依赖于某些点对点决策块。
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引用次数: 2
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2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)
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