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2016 International Conference on Information and Digital Technologies (IDT)最新文献

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Compression of short data blocks to improve the reliability of non-volatile flash memories 压缩短数据块以提高非易失性闪存的可靠性
Pub Date : 2016-07-05 DOI: 10.1109/DT.2016.7557141
Tobias Ahrens, Mohammed Rajab, J. Freudenberger
This work investigates data compression algorithms for applications in non-volatile flash memories. The main goal of the data compression is to minimize the amount of user data such that the redundancy of the error correction coding can be increased and the reliability of the error correction can be improved. A compression algorithm is proposed that combines a modified move-to-front algorithm with Huffman coding. The proposed data compression algorithm has low complexity, but provides a compression gain comparable to the Lempel-Ziv-Welch algorithm.
本文研究了非易失性闪存中数据压缩算法的应用。数据压缩的主要目标是尽量减少用户数据量,从而增加纠错编码的冗余性,提高纠错的可靠性。提出了一种将改进的移向前算法与霍夫曼编码相结合的压缩算法。提出的数据压缩算法具有较低的复杂度,但提供了与Lempel-Ziv-Welch算法相当的压缩增益。
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引用次数: 6
Water level monitoring based on the acoustic signal using the neural network 基于声信号的神经网络水位监测
Pub Date : 2016-07-05 DOI: 10.1109/DT.2016.7557174
Veronika Olesnaníková, O. Karpis, M. Chovanec, P. Sarafín, Róbert Zalman
There is a significant spectrum of Wireless Sensor Networks applications. Using of the WSN fits to natural setting because it does not require supply power sources and communication lines. When proposing such an application the energy management has to be taken into the consideration. This paper is dedicated to the solutions where the energy of the water streams is evaluated based on its acoustic emission in order to predict possibility of floods. For the multi-environment set up the theory of learning systems was inspirational. The ultrasonic sensor works as the reference for learning phase. Evaluation of the acoustic emissions is provided by the neural network. Firstly the system requires the parameter adjustment (learning phase). Afterwards the unit takes into consideration the learned information and apply them in the operational mode. The devices are able to communicate via the RF modules working within the ISM band.
无线传感器网络的应用范围非常广泛。无线传感器网络的使用不需要电源和通信线路,适合于自然环境。当提出这样的应用时,必须考虑到能源管理。本文研究了基于声发射评价水流能量以预测洪水发生可能性的解决方案。对于多环境下学习系统理论的建立具有启发意义。超声波传感器作为学习阶段的参考。利用神经网络对声发射进行评价。首先,系统需要参数调整(学习阶段)。然后,单元考虑所学到的信息并将其应用到操作模式中。设备可以通过ISM频段内的射频模块进行通信。
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引用次数: 3
Integration of virtual patients into modernizing activities of medical education across MEFANET 将虚拟患者整合到MEFANET的医学教育现代化活动中
Pub Date : 2016-07-05 DOI: 10.1109/DT.2016.7557171
J. Majerník, L. Szerdiová, D. Schwarz, J. Živčák
Utilization of traditional teaching methods in education of medicine was considered as the most convenient way to introduce clinical problems and topics during long history. Thanks to the modern technologies and advances in multimedia, simulations and on-line availability obtained during last decades, this barrier was successfully overcome also in this area of higher education. Therefore, our activities are aimed to bring teachers new possibilities to make education of medicine more attractive and more illustrative at all medical faculties involved in MEFANET network. This should be achieved by integration of virtual cases into pre-clinical preparation of students. The virtual cases presented in the form of virtual patients will stimulate and improve both the self-learning activities and the critical thinking of students and future physicians. To discover the needs and expectations of our teachers in the area of virtual patients an online survey was conducted. Based on the requirements derived from this survey the most suitable platform was selected to be implemented into the activities to support multimedia and electronic forms of education at medical faculties.
在医学教育中,传统的教学方法被认为是介绍临床问题和课题最方便的方式。由于在过去几十年中获得的现代技术和多媒体,模拟和在线可用性的进步,这一障碍在高等教育领域也被成功地克服了。因此,我们的活动旨在为教师带来新的可能性,使参与MEFANET网络的所有医学院的医学教育更具吸引力和更具说明性。这应该通过将虚拟病例整合到学生的临床前准备中来实现。以虚拟患者的形式呈现的虚拟病例将刺激和提高学生和未来医生的自主学习活动和批判性思维。为了了解我们的教师在虚拟病人方面的需求和期望,我们进行了一项在线调查。根据这项调查得出的要求,选择了最合适的平台,用于支持医学院多媒体和电子形式教育的活动。
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引用次数: 3
Reliability analysis of the bulk cargo transportation system with independent and dependent redundancy of its components 具有独立冗余和相关冗余的散货运输系统可靠性分析
Pub Date : 2016-07-05 DOI: 10.1109/DT.2016.7557146
Blokus-Roszkowska Agnieszka, K. Bożena
In the paper an approach to the reliability analysis of multistate systems and their redundancy is presented. First, basic notions concerned with reliability analysis of the ageing multistate systems are introduced. The system risk function and the moment of the system exceeding the critical reliability state are defined. The multistate series system with hot single reserve of its components is analyzed and its reliability function is determined. Moreover, we consider two types of redundancy, when basic and reserve system components are independent and second case when basic and reserve system components are dependent according equal load sharing rule. In such model of dependency the increased load is shared equally between basic and reserve components. Presented theoretical results are applied practically in maritime transport to the reliability analysis of a bulk cargo loading system. Basic reliability and risk characteristics of the bulk cargo transportation system are determined and compared with results obtained in case of independent and dependent redundancy.
提出了一种多状态系统及其冗余度的可靠性分析方法。首先,介绍了老化多状态系统可靠性分析的基本概念。定义了系统风险函数和系统超过临界可靠性状态的力矩。对多态串联系统进行了分析,确定了多态串联系统的可靠性函数。此外,我们考虑了两种类型的冗余,一种是基本系统和备用系统组件独立的冗余,另一种是基本系统和备用系统组件根据等负荷分担规则相互依赖的冗余。在这种依赖模型中,增加的负荷在基本组件和备用组件之间平均分担。所提出的理论结果已应用于海运散货装载系统的可靠性分析。确定了散货运输系统的基本可靠性和风险特性,并与独立冗余和依赖冗余情况下的结果进行了比较。
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引用次数: 1
Centring in magnetic field of synchronous generators rotor using virtual instrumentation 利用虚拟仪器对同步发电机转子磁场进行定心
Pub Date : 2016-07-05 DOI: 10.1109/DT.2016.7557151
Constantin Dobrean, M. Biriescu, L. Padeanu, T. Jurca, Jurcu Marcel-Romulus, I. Pădureanu
The paper deals with a method of reducing the unbalanced magnetic pull for large synchronous hydro generators, in case of rotor eccentricity and/or shape deviation of the rotor and stator. The method is based on a dedicated data acquisition system and virtual instruments developed in LabVIEW environment. Experimental results are presented for a 186 MVA and 500 RPM vertical synchronous hydro generator. The method of magnetic centring was applied successfully on 30 high power electrical machines from industrial environment in Romania.
本文研究了大型同步水轮发电机在转子偏心或转子与定子形状偏离时减小不平衡磁拉力的方法。该方法是基于LabVIEW环境下开发的专用数据采集系统和虚拟仪器。介绍了186mva、500rpm立式同步水轮发电机的试验结果。磁定心方法在罗马尼亚工业环境的30台大功率电机上成功应用。
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引用次数: 0
Reliability and survivability models of integrated drone-based systems for post emergency monitoring of NPPs 核电站应急后监测综合无人机系统的可靠性和生存能力模型
Pub Date : 2016-07-05 DOI: 10.1109/DT.2016.7557161
V. Kharchenko, A. Sachenko, V. Kochan, H. Fesenko
This paper presents the approach to research integrated drone-based systems for post emergency monitoring of NPPs as systems with a multi-level degradation. Reliability block diagrams of the systems are built. Degradation levels, conditions which determine them and formulae for calculating the reliability functions of the systems on these levels are proposed. The possibility of using developed models for research systems with a multi-level degradation and using drones are shown.
本文提出了将基于无人机的核电站应急后监测综合系统作为多级退化系统进行研究的方法。建立了系统的可靠性框图。给出了退化等级、确定退化等级的条件和各退化等级上系统可靠性函数的计算公式。展示了将开发的模型用于研究具有多级退化的系统和使用无人机的可能性。
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引用次数: 33
Control strategies for discrete delayed systems with unknown input using nonparametric algorithms 具有未知输入的离散延迟系统的非参数控制策略
Pub Date : 2016-07-01 DOI: 10.1109/DT.2016.7557162
V. Smagin, G. Koshkin, Konstantin S. Kim
The paper deals with the control algorithms for discrete delayed systems with unknown inputs (disturbances). Control algorithm is based on local criterion with using Kalman filtering and nonparametric estimator. Examples are given to illustrate the proposed approach.
研究了具有未知输入(扰动)的离散延迟系统的控制算法。控制算法基于局部准则,采用卡尔曼滤波和非参数估计。举例说明了所提出的方法。
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引用次数: 2
Reduction of the fire risk in the aspect of ground currents in ship electrical grid LV type IT 降低船舶电网接地电流方面的火灾风险
Pub Date : 2016-07-01 DOI: 10.1109/DT.2016.7557187
D. Tarnapowicz
Electricity networks with an isolated neutral point type IT are commonly used in ships. This is mainly caused by the need to ensure the continuity of supply for electrical equipment, which decides about an appropriate operation of the vessel. The occurrence of leakage current with values dependent on components in transverse impedance carries a risk of fire. The article presents fire risk that occurs in ships in the aspect of capacitive leakage currents. Currently, the only measure of protection is to monitor the condition of insulation and signalization in case of exceeding the limit values. The article shows the system of limiting leakage currents in ship electricity networks type IT via an active compensation method with the use of controlled current sources.
具有隔离中性点型IT的电力网络通常用于船舶。这主要是由于需要确保电气设备供应的连续性,这决定了船舶的适当操作。泄漏电流的值与横向阻抗的分量有关,有发生火灾的危险。本文从船舶电容泄漏电流的角度阐述了船舶发生火灾的危险性。目前,唯一的保护措施是监测绝缘状况,并在超过限制值时发出信号。本文介绍了一种采用可控电流源的有源补偿方法限制船舶IT型电网泄漏电流的系统。
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引用次数: 0
A model of a case-based approach to context-aware content sequencing in Mobile learning environments 移动学习环境中基于案例的上下文感知内容排序方法模型
Pub Date : 2016-07-01 DOI: 10.1109/DT.2016.7557183
H. Supic
The continually changing learner's mobile environment gives rise to many learning context. This paper describes a model of a case-based approach to context-aware content sequencing in mobile learning environments. The design of mobile learning teaching systems with adaptive content sequencing requires significant effort, since dependencies between educational characteristics of learning resources, learning context and learner characteristics are too complex. According to the proposed approach, an prototype of Mobile Finite Automata Tutoring (MoFAT) system using a context-aware case-based content sequencing is presented. The MoFAT's learning material organization has a hierarchical structure with four levels. A new content sequencing problem (a new case) is solved by finding a similar past case, and reusing it in the new content sequencing problem context.
学习者移动环境的不断变化产生了多种学习语境。本文描述了移动学习环境中基于案例的上下文感知内容排序方法模型。由于学习资源的教育特征、学习情境和学习者特征之间的依赖关系过于复杂,设计具有自适应内容排序的移动学习教学系统需要付出巨大的努力。根据所提出的方法,提出了一个基于上下文感知的基于案例的内容排序的移动有限自动机辅导(MoFAT)系统原型。外交部的学习资料组织有四个层次的层次结构。一个新的内容排序问题(一个新的案例)是通过找到一个相似的过去案例,并在新的内容排序问题上下文中重用它来解决的。
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引用次数: 4
Threat detection in episodic images 情景图像中的威胁检测
Pub Date : 2016-07-01 DOI: 10.1109/DT.2016.7557170
Gaukhar Madikenova, Aisulu Galimuratova, M. Lukac
Despite recent advances in computer vision humans still perform recognition of a novel scene in a single glance better than the best of the available systems. Consequently in order to achieve a similar ability in artificial intelligent systems, it is necessary to further study the low-level mechanisms in image processing for solving computer vision problems. The purpose of this study is to find an effective approach to classify images into threatening and non-threatening categories. Some of the existing algorithms for scene classification are examined and are studied in order to identify which is the best for the threatening context. We define a threat as a cause of harm or danger from a person or some phenomenon. We have constructed an image database containing hundreds of images labeled and divided into threatening and non-threatening categories. The results of classification shows that using some of the current state of art features and scene descriptors, the accuracy of classification is up to 80%.
尽管计算机视觉技术最近取得了进步,但人类对新场景的识别能力仍然比现有的最好的系统要好。因此,为了在人工智能系统中实现类似的能力,有必要进一步研究图像处理中解决计算机视觉问题的底层机制。本研究的目的是寻找一种有效的方法将图像分为威胁和非威胁类别。对现有的一些场景分类算法进行了检验和研究,以确定哪种算法最适合威胁环境。我们把威胁定义为一个人或一些现象造成伤害或危险的原因。我们构建了一个图像数据库,其中包含数百个标记并分为威胁和非威胁类别的图像。分类结果表明,使用一些当前最先进的特征和场景描述符,分类的准确率达到80%。
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2016 International Conference on Information and Digital Technologies (IDT)
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