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2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)最新文献

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A model of heat exchange and accumulation in small-sized bioreactors during ethanol fermentation 小型生物反应器中乙醇发酵过程的热交换与积累模型
D. Kiss
This paper presents a mathematical model of heat production, exchange and accumulation during ethanol generator at small-scaled fermentor tanks in home wineries or breweries. Heat generation is directly related to CO2 production rate, which serves as a time-dependent input parameter of the model, as well as the actual ambient temperature. Validation at pilot scale experiments showed good agreement with recorded temperature sensor data.
本文建立了家用酿酒厂小型发酵罐乙醇发生器产热、换热和蓄热的数学模型。产热与CO2产出率直接相关,CO2产出率是模型的一个时变输入参数,同时也与实际环境温度直接相关。在中试规模的实验验证表明,很好地符合记录的温度传感器数据。
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引用次数: 3
Leaf recognition algorithm using support vector machine with Hu moments and local binary patterns 基于胡矩和局部二值模式的支持向量机树叶识别算法
Marko Lukic, Eva Tuba, M. Tuba
Leaf recognition is convenient for plant classification and it is an important subfield of pattern recognition. Different leaf features such as color, shape and texture are used as well as different classifiers including artificial neural networks, k-nearest neighbor and support vector machines. In this paper we propose an algorithm based on tuned support vector machine as a classifier and Hu moments and uniform local binary pattern histogram parameters as features. Our proposed algorithm was tested on leaf images from standard benchmark database and compared with other approaches from literature where it proved to be more successful (higher recognition percentage).
叶片识别为植物分类提供了方便,是模式识别的一个重要分支。使用不同的叶子特征,如颜色、形状和纹理,以及不同的分类器,包括人工神经网络、k近邻和支持向量机。本文提出了一种基于调谐支持向量机作为分类器,以Hu矩和均匀局部二值模式直方图参数为特征的算法。我们提出的算法在标准基准数据库的叶子图像上进行了测试,并与文献中的其他方法进行了比较,结果证明该算法更成功(识别率更高)。
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引用次数: 39
Implementing English speech interface to Jaguar robot for SWAT training 实现捷豹机器人SWAT训练的英语语音接口
Matus Pleva, J. Juhár, A. Cizmár, Christopher R. Hudson, Daniel W. Carruth, Cindy L. Bethel
This paper describes the development of a specialized application for voice command recognition for the Jaguar V4 robot in conjunction with the Starkville, MS, USA Special Weapons and Tactics (SWAT) team during training. This training took place at The Center for Advanced Vehicular Systems (CAVS), which provides a specialized environment for police SWAT training. This reconfigurable space, setup during this study as a two bedroom apartment, includes video monitoring of the space, sound playback and capturing, reconfigurable lighting, etc. This training environment is used for testing different kinds of human-robot interfaces in SWAT training operations. The results of the voice integration evaluation indicated that voice commands could be successfully used for controlling additional functions of the robot after a short introductory training session with a few of the police officers. These preliminary observations were encouraging and provides support for further investigation into the usefulness of this technology.
本文描述了在训练期间与美国斯达克维尔特种武器与战术(SWAT)小组合作开发的用于美洲虎V4机器人语音命令识别的专门应用程序。这次培训在先进车辆系统中心(CAVS)进行,该中心为警察SWAT培训提供了一个专门的环境。这个可重新配置的空间,在这个研究中被设置为一个两卧室的公寓,包括空间的视频监控,声音播放和捕捉,可重新配置的照明等。该训练环境用于测试SWAT训练行动中不同类型的人机界面。语音整合评估的结果表明,经过几名警察的简短入门培训,语音命令可以成功地用于控制机器人的附加功能。这些初步观察结果令人鼓舞,并为进一步调查这项技术的用途提供了支持。
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引用次数: 13
Solution of systems with the time-delay using the operator w 用算子w求解时滞系统
M. Tóthová, A. Vagaská, M. Balara
Systems with time-delay are a specific group of dynamic systems. There occurs the time lag of the signal, information or material, which results in the deterioration of the properties of a control circuit if we want to control of such system. The presence of time-delay complicates the synthesis of a control circuit and therefore it is necessary to these systems was described by the differential equations. Laplace transform gives a very simple method of solving these linear differential equations with constant coefficients. The theoretical basis for simple but exact solution gives W-transform that a transcendent solution converts to solve algebraic equations. W image is defined similar as is defined by the Z image of the functions.
时滞系统是一类特殊的动态系统。要对控制电路进行控制,信号、信息或材料都会产生时滞,从而导致控制电路性能的恶化。时滞的存在使控制电路的合成变得复杂,因此有必要用微分方程来描述这些系统。拉普拉斯变换给出了一种非常简单的方法来解这些常系数线性微分方程。简单精确解的理论基础给出了超越解转化为求解代数方程的w变换。W像的定义与函数的Z像的定义相似。
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引用次数: 1
Fuzzy and Kohonen SOM based classification of different 0D nanostructures 基于模糊和Kohonen SOM的不同0D纳米结构分类
A. Ürmös, Z. Farkas, M. Farkas, T. Sandor, L. Kóczy, Á. Nemcsics
In this paper, the clustering of the GaAs-based droplet epitaxially grown self-assembled nanostructures was investigated by soft-computing methods. The properties and the operation of these devices, depend on the type, the shape, the size, and their distribution of these 0 dimensional nanostructures. Because of this, it is very important to know, how and what kind of nanostructures can form, at the given technological parameters. Our goal is the classification of these nanostructures, in order to support the research and the production of these devices. Our solution is based on the shape factor calculation of the given nanostructure. In this work, two possible classification methods of nanostructures were introduced as well. First, the classification potential of the Kohonen Self-Organizing Mapping (SOM) was investigated. Second, the fuzzy inference system based classification was studied. In this case, the shape factor was determined by geometrical sizes of the nanostructures. In this paper the clustering was introduced, which supports many kinds of technology as well.
本文采用软计算方法研究了gaas基液滴外延生长自组装纳米结构的聚类。这些器件的性质和操作取决于这些零维纳米结构的类型、形状、大小和分布。因此,了解在给定的技术参数下,如何以及形成什么样的纳米结构是非常重要的。我们的目标是对这些纳米结构进行分类,以支持这些器件的研究和生产。我们的解决方案是基于给定纳米结构的形状因子计算。本文还介绍了两种可能的纳米结构分类方法。首先,研究了Kohonen自组织映射(SOM)的分类潜力。其次,研究了基于模糊推理系统的分类。在这种情况下,形状因子由纳米结构的几何尺寸决定。本文介绍了支持多种技术的聚类技术。
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引用次数: 2
In pursuit of human-friendly interaction with a computational system: Computational humor 追求与计算系统的友好互动:计算幽默
Julia Taylor Rayz
With AI celebrating its 60th anniversary, questions arise of when (not even if) a computational system will be able to understand humor. These questions open up interesting opportunities, but point out areas of research that yet are insufficient for informal human computer communication. This paper looks at computational humor as a way of verifying computational understanding of text (written or verbal). In particular, we treat ontology as a knowledge representation mechanism and natural language as a vehicle delivering this knowledge. A true ontology should provide a world model for the described domain, identifying its main concepts and tying them together with all relevant contentful properties. The question is how to get this model from text accurately? Assuming, as we do, that there is an accurate and unambiguous way of getting explicitly stated information from text, a lot of information is, in fact, implicit and yet crucial to the world model that we are creating. This implicit information has to be made explicit at the reasoning stage if we hope to come up with the results similar to human reasoning or understanding. In this paper, we will look at various ways, requiring optimal human-computer hybrid collaboration, in which ontology helps text understanding for humor processing, and text helps with dynamic ontology development. We hypothesize that such communication will be helpful for interaction with any computational system in a human-friendly way in general, and for robots in particular.
随着人工智能诞生60周年,计算系统何时(甚至不可能)能够理解幽默的问题也随之而来。这些问题带来了有趣的机会,但也指出了一些研究领域,这些领域在非正式的人机交流方面还不够充分。本文将计算幽默视为验证文本(书面或口头)计算理解的一种方式。特别是,我们将本体视为知识表示机制,将自然语言视为传递知识的载体。一个真正的本体应该为所描述的领域提供一个世界模型,识别其主要概念,并将它们与所有相关的内容属性联系在一起。问题是如何准确地从文本中得到这个模型?假设,正如我们所做的,有一种准确而明确的方式从文本中获得明确的信息,事实上,很多信息是隐含的,但对我们正在创建的世界模型至关重要。如果我们希望得出类似于人类推理或理解的结果,就必须在推理阶段将这种隐性信息明确化。在本文中,我们将研究各种需要最佳人机混合协作的方法,其中本体帮助幽默处理的文本理解,文本帮助动态本体开发。我们假设,这种交流将有助于与任何计算系统以一种对人类友好的方式进行交互,特别是对机器人。
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引用次数: 6
Adaptive solution of the inverse kinematic task by fixed point transformation 用不动点变换自适应求解逆运动任务
H. Khan, A. Galántai, J. Tar
In a wide class of robots of open kinematic chain the inverse kinematic task cannot be solved by the use of closed-form analytical formulae. On this reason the traditional approaches apply differential approximation in which the Jacobian of the — normally redundant — robot arm is "inverted" by the use of some "generalized inverse". These pseudo-inverses behave well whenever the robot arm is far from a singular configuration, however, in the singularities and nearby the singular configurations they suffer from a singular or ill-conditioned pseudoinverse. For tackling the problem of singularities normally complementary "tricks" have to be used that so "deform" the original problem that the deformed version leads to the inversion of a well-conditioned matrix. Though the so obtained solution does not exactly solve the original problem, it is accepted as practical "substitute" of the not existing solution in the singularities, and an acceptable approximation of the exact solution outside the singular points. Recently, in [1], an alternative, quasi-differential approach was suggested that was absolutely free of any matrix inversion. It was shown that it converged to one of the — normally ambiguous — exact solutions at the nonsingular configurations, and showed stable convergence in the singular points when a "substitute" of the not existing solution was created. This convenient convergence was guaranteed by the use of the "exact Jacobian" of the robot arm. The interesting question, i.e. what happens if only an "approximate Jacobian" is available, and the motion of the robot arm is precisely measurable with respect to a Cartesian "workshop"-based system of reference, was left open. Now it is shown that the convergence properties of the method can be improved by the application of simple rotational matrices, and on this basis the iterative application of an "Adaptive Inverse Kinematics" becomes possible. This approach has the specialty that no complete information it needs on the Jacobian at a given point. It is content with the observable system behavior only along the realized motion, so it seems to be easily implementable. Its operation is demonstrated for an irregularly extended 6 Degree-of-Freedom (DoF) PUMA-type robot arm, that has 8 rotary axles.
在一类广泛的开放运动链机器人中,逆运动任务不能用闭式解析公式求解。基于这个原因,传统的方法采用微分逼近,在微分逼近中,通常冗余的机械臂的雅可比矩阵通过使用一些“广义逆”来“反转”。这些伪逆在机械臂远离奇异位形时表现良好,但在奇异位形及奇异位形附近存在奇异或病态伪逆。为了解决奇点问题,通常必须使用互补的“技巧”,使原始问题“变形”,使变形的版本导致条件良好的矩阵的反转。虽然所得到的解不能完全解决原问题,但它可以作为奇点内不存在解的实际“替代品”,以及奇点外精确解的可接受近似值。最近,在[1]中,提出了一种替代的准微分方法,它绝对没有任何矩阵逆。结果表明,该方法在非奇异位形下收敛到一个通常是模糊的精确解,并在奇异点处用不存在的解“替代”时表现出稳定的收敛。利用机械臂的“精确雅可比矩阵”保证了这种方便的收敛性。有趣的问题是,如果只有一个“近似雅可比矩阵”可用,并且机器人手臂的运动是相对于基于笛卡尔的“车间”参考系统精确测量的,会发生什么,这是开放的。结果表明,采用简单的旋转矩阵可以改善该方法的收敛性,并在此基础上实现了“自适应逆运动学”的迭代应用。这种方法的特点是它不需要关于给定点的雅可比矩阵的完整信息。它只满足于沿已实现运动的可观察系统行为,因此似乎很容易实现。它的操作演示了不规则扩展的6自由度(DoF) puma型机械臂,有8个旋转轴。
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引用次数: 5
Ontology based navigation model of the ILONA system 基于本体的ILONA系统导航模型
Daniel P. Kun, Erika Varga, Zsolt Tóth
This paper presents the model of the navigation component of the ILONA System, which is a flexible indoor positioning framework. Navigation in closed environment is a vital part of indoor location based services. The unique properties and the topology of the indoor environments limits the usage of existing global navigation solutions. On the other hand, room-level indoor navigation can be traced back to graph algorithms. Ontology allows a flexible description of the indoor environment and can store the structure and other properties of the buildings compactly. The ontology presented was tailored to the existing components of the ILONA System. The adaptation of existing indoor ontologies were discarded. Hence, the ontology introduced in this paper is able to model the structures of buildings efficiently and it is based on the model of the ILONA System. This model can be used to extend the ILONA System with an ontology-based navigation capability. The model presented was used to model a three-story building for verification. The utility functions and services implemented are also presented in this paper.
本文介绍了ILONA系统的导航组件模型,该系统是一个灵活的室内定位框架。封闭环境下的导航是室内定位服务的重要组成部分。室内环境的独特属性和拓扑结构限制了现有全球导航解决方案的使用。另一方面,房间级室内导航可以追溯到图算法。本体允许对室内环境进行灵活的描述,并且可以紧凑地存储建筑物的结构和其他属性。提出的本体是针对ILONA系统的现有组件进行定制的。抛弃了对现有室内本体的适应。因此,本文引入的本体是基于ILONA系统的模型,能够有效地对建筑物的结构进行建模。该模型可用于扩展ILONA系统,使其具有基于本体的导航能力。将所提出的模型用于一个三层建筑的模型验证。本文还介绍了实现的实用功能和服务。
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引用次数: 14
期刊
2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)
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