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Neural processing of multisensor signals at the 8-bit microcontroller 多传感器信号在8位微控制器上的神经处理
O. Roshchupkin, A. Sachenko, V. Kochan
An approach of multisensor signals processing at microcontrollers is described in this paper. This approach is based on the identification neural method of conversion individual function for a multisensor. It allows reducing an amount of calibration points and improving an accuracy of identification in a comparison with existing methods. Proposed approach was implemented in the developed system for measurement of the ultraviolet radiation level using 8-bit microcontrollers.
本文介绍了一种在微控制器上处理多传感器信号的方法。该方法基于多传感器个体函数转换的识别神经方法。与现有方法相比,它可以减少校准点的数量并提高识别的准确性。该方法已在已开发的紫外辐射水平8位微控制器测量系统中实现。
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引用次数: 1
Universal acquisition system for frequency domain parameters measurement 通用采集系统的频域参数测量
L. Svilainis, V. Dumbrava, A. Chaziachmetovas
The universal acquisition system is presented. System is dedicated for multiple frequency domain parameters measurement: transfer, insertion loss, AC response, harmonic distortion, noise and electrical impedance. The primary application was the ultrasonic equipment AC parameters evaluation. Operation range is 20 kHz to 30 MHz. System is targeted for parameters comparison and estimation, but it is universal: all the measurements are accomplished using just one excitation and two analog reception channels. System structure and operation are presented. Modular PC104 form-factor construction allows for both local and remote PC connectivity. Setup for most common tasks and example measurement results with system is presented.
介绍了通用采集系统。系统是专门用于多个频域参数测量:传输,插入损耗,交流响应,谐波失真,噪声和电阻抗。主要应用于超声设备的交流参数评价。工作范围为20khz ~ 30mhz。系统的目标是参数比较和估计,但它是通用的:所有的测量都是只用一个激励和两个模拟接收通道完成的。介绍了系统的结构和工作原理。模块化PC104外形结构允许本地和远程PC连接。给出了系统中最常见任务的设置和实例测量结果。
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引用次数: 5
Net Present Value (NPV) as a tool supporting effective project management 净现值(NPV)作为支持有效项目管理的工具
Werner Wetekamp
The aim of this paper is to present how Net Present Value (NPV) can be used as a proper tool to ensure effective project management. The author proves that investment project's appraisal methods, such as e.g. NPV, can and should be used as an ongoing monitor of project health. What is more, even in case of project turbulences Net Present Value can be used as a key instrument for finding the most appropriate solutions.
本文的目的是介绍净现值(NPV)如何作为一种适当的工具来确保有效的项目管理。论证了投资项目的评价方法,如净现值等,可以而且应该作为项目健康状况的持续监测手段。更重要的是,即使在项目动荡的情况下,净现值也可以作为寻找最合适解决方案的关键工具。
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引用次数: 22
Predictor set optimization for collaborative filtering 预测集优化协同过滤
Orsolya Horvath, G. Takács
One of the most efficient approaches to create a recommender system is collaborative filtering (CF). CF does not require metadata about users and items, but only interactions between users and items (e.g. ratings), therefore it can be applied in many problem domains. Experience shows that for achieving high accuracy, it is worthwhile to use a blended solution, consisting of many predictors. This paper presents an algorithm for constructing a set of CF predictors so that the overall accuracy of the set is high. The algorithm was tested on the Netflix Prize dataset that contains 100 million ratings.
协同过滤(CF)是创建推荐系统最有效的方法之一。CF不需要关于用户和项目的元数据,而只需要用户和项目之间的交互(例如评级),因此它可以应用于许多问题领域。经验表明,为了获得较高的准确性,值得使用由许多预测器组成的混合解决方案。本文提出了一种构造CF预测集的算法,使预测集的总体精度较高。该算法在包含1亿个收视率的Netflix Prize数据集上进行了测试。
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引用次数: 0
Automated testing of measurement instruments 测量仪器的自动化测试
P. Petvaldsky, P. Bilik
In these days the term power quality becomes to be significant in industry. Many manufacturers develop equipment for measuring the quality of electrical energy for various applications. However, the qualitative requirements for the operation of these devices are still not precisely defined. So it is not an exception that different manufacturers differently interpret requirements. Then it is more difficult to compare qualitative parameters of these different devices. This paper describes how to test functionality and capability of devices for measuring power quality. Automation of such a process significantly increases tester throughput and brings more consistent results.
在这些日子里,电能质量一词在工业中变得很重要。许多制造商为各种应用开发测量电能质量的设备。然而,对这些设备的操作的定性要求仍然没有精确定义。因此,不同的制造商对要求有不同的解释也不例外。这样,比较这些不同器件的定性参数就比较困难了。本文介绍了如何测试电能质量测量设备的功能和性能。这种过程的自动化显著地提高了测试人员的吞吐量,并带来了更加一致的结果。
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引用次数: 1
The specifics of vane pump firmness features research by means of COSMOSWorks 利用COSMOSWorks对叶片泵的牢固性特性进行了研究
I. Baranova, O. Aleksenko, K. Omelianenko, V. Shendryk
The results of vane durability of the vane pump analysis are presented. The range of the loose part vane height is determined. Mathematical model is realized by facilities of COSMOSWorks module, which built-in in SolidWorks.
介绍了叶片泵叶片耐久性分析的结果。确定了松动部分叶片高度的范围。利用SolidWorks内置的COSMOSWorks模块实现数学模型。
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引用次数: 0
Improving the efficiency of MLP back propogation learning at the classification of quasi-stationary signals 提高MLP反向传播学习在准平稳信号分类中的效率
E. Arsiriy, S. Antoshchuk, V. Arsiri, T. V. Groysman
Investigated efficiency improvement for the back propagation learning in batch mode of MLP at the classification of quasi-stationary signals relied on tuning the learning rate based on gradient descent algorithm and the slope angle of the neurons activation function.
研究了基于梯度下降算法和神经元激活函数斜率角的学习率调整对准平稳信号分类下MLP批处理模式下反向传播学习效率的提高。
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引用次数: 0
Serving legacy distributed applications by a self-configuring cloud processing platform 通过自配置云处理平台为遗留分布式应用程序提供服务
S. Panica, Marian Neagul, Ciprian Craciun, D. Petcu
Clouds are intend mainly to host Web applications exposed through the interfaces of services but due to several particular and interesting aspects of the Clouds, like elasticity and scalability, legacy standalone and distributed applications can also benefit from the resources offered by the Clouds. We describe in this paper a simple-to-use platform allowing to run legacy applications on Cloud computing environments. This platform is one of the results of a large project dealing with the portability of the applications running on Clouds.
云主要用于托管通过服务接口公开的Web应用程序,但是由于云的一些特殊和有趣的方面,如弹性和可伸缩性,遗留的独立和分布式应用程序也可以从云提供的资源中受益。我们在本文中描述了一个简单易用的平台,允许在云计算环境中运行遗留应用程序。这个平台是一个处理运行在云上的应用程序可移植性的大型项目的成果之一。
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引用次数: 14
A system concept of an energy information system in flats using wireless technologies and smart metering devices 使用无线技术和智能计量设备的公寓能源信息系统的系统概念
Ingo Kunold, Markus Kuller, J. Bauer, Nursi Karaoglan
The solid supply with electrical power in Europe needs the development of smart grids [1], [2]. To solve the control problems of these grids, smart metering devices and energy information systems (SCADA) are needed on the carrier level [3]. Considering private households and small enterprises, it is therefore required to replace plain old energy meters by modern smart metering components. Smart meters offer a lot of new features, for example handling of different dynamic tariffs and in addition to their carrier interface a data access capability for in-house applications. Using these capabilities an embedded in-house energy information system with a smart energy controller (SEC) will be proposed, which allows displaying real-time data information and analysis of power consumption as well as power generation. The concept is also useful to combine smart home applications with smart grid functions, if data exchange with a multi utility controller (MUC) with SML [4], and smart meter devices, e.g. eHZ [4] is used. In that case, in connection with actors, demand side management functions may be executed by the controller. This was one of the intentions of the e-energy projects EENEAS, e-energy@home and E-DeMa1.
欧洲的固体电力供应需要智能电网的发展[1],[2]。为了解决这些电网的控制问题,在载波层面需要智能计量设备和能源信息系统(SCADA)[3]。考虑到私人家庭和小型企业,因此需要用现代智能电表组件取代普通的旧电表。智能电表提供了许多新功能,例如处理不同的动态资费,除了运营商接口之外,还提供了内部应用程序的数据访问功能。利用这些功能,将提出一个带有智能能源控制器(SEC)的嵌入式内部能源信息系统,该系统可以显示实时数据信息并分析电力消耗和发电情况。如果使用SML[4]和智能电表设备(例如eHZ[4])与多用途控制器(MUC)进行数据交换,则该概念对于将智能家居应用与智能电网功能结合起来也很有用。在这种情况下,与参与者联系起来,需求侧管理功能可能由控制器执行。这是电子能源项目EENEAS、e-energy@home和E-DeMa1的意图之一。
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引用次数: 42
Semantic annotation of text documents using modified probabilistic neural network 基于改进概率神经网络的文本文档语义标注
Yevgeniy V. Bodyanskiy, O. Shubkina
The modified probabilistic neural network is proposed. It is used for text mining and semantic annotation constructing based on received knowledge and domain ontology.
提出了改进的概率神经网络。它基于接收到的知识和领域本体进行文本挖掘和语义标注构建。
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引用次数: 8
期刊
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems
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