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IEEE International Conference on Environment and Electrical engineering

作者： L. Alfieri G. Carpinelli A. Bracale P. Caramia A. R. Di Fazio Dep. of Electrical Engineering and Information Technology University of Napoli Federico II Naples Italy Dep.of Engineering University of Napoli Parthenope Naples Italy Department of Electrical and Information Engineering University of Cassino and southern Lazio Cassino Italy

Distributed generation (DG) produces many benefits for the distribution systems that are operated as active systems, even if they have been traditionally designed as passive networks. Then, new technical issues must be addressed, involving both normal and abnormal operating conditions such as short circuits. Photovoltaic systems (PVSs) are among the most diffuse DG and their contributions to the short-circuit operating conditions dep.nd on several factors, such as environmental conditions, PVS inverter control characteristics, self-protection systems, and fault location and type. An analytical model that aims at quickly and accurately analyzing the three-phase short-circuit operating conditions in a distribution system in presence of PVSs is presented in this paper. The model is applied to a typical North American MV network characterized by large penetration of PVSs, investigating the influence of the aforementioned factors.

关键词： short-circuit current photovoltaic systems distributed generation

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Adaptive search in unstructured peer-to-peer networks based on ant colony and Learning Automata

Adaptive search in unstructured peer-to-peer networks based ...

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2016 Artificial Intelligence and Robotics, IRANOPEN 2016

作者： Ahmadi, Ameneh Meybodi, Mohammad Reza Saghiri, Ali Mohammad Dep. Engineering and Information Technology Islamic Azad University Qazvin Iran Dep. Engineering and Information Technology Amirkabir University of Technology Tehran Iran

ISBN: (纸本)9781509021697

An unstructured peer-to-peer network is an overlay network where all nodes play equal roles, and the topology and data location do not follow restrictive rules. So, in a traditional file search mechanism, such as flooding, a peer broadcasts a query to its neighbors through an unstructured peer-to-peer (P2P) network until the time-to-live decreases to zero. A major disadvantage of flooding is that, in a large-scale network, this blind-choice strategy usually incurs an enormous traffic overhead. AntP2PR is a protocol to search based on the ant colony in unstructured peer to peer networks, which faces with some problems such as high communication overhead and low success rate due to the lack of an appropriate decision-making mechanism. In this paper, two adaptive improved version of AntP2PR named DLAntP2P and LAntP2P to improve the search problem in unstructured peer-to-peer networks are proposed. The DLAntP2P and LAntP2P protocols utilize the Distributed Learning Automata (DLA) and Learning Automata (LA), respectively, as an adaptive decision-making mechanism to determine number of ant and enhance the way of selecting the neighbors to forward the query messages. Simulations show the effectiveness of proposed protocols in terms of communication overhead and success rate, compared to AntP2PR and K-walker random walk. © 2016 IEEE.

关键词： Decision making

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A fully recursive perceptron network architecture

A fully recursive perceptron network architecture

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Markus Hagenbuchner Ah Chung Tsoi Franco Scarselli Shu Jia Zhang School of Computing and IT University of Wollongong Wollongong Australia Dep. of Computer Science University of Wollongong Tuen Mun Wollongong Australia Dep. of Information Engineering University of Siena Siena Italy

This paper introduces a fully recursive perceptron network (FRPN) architecture as an alternative to multilayer perceptron (MLP) with multiple hidden layers networks, popularly known as deep neural networks. The FRPN consists of an input layer, an output layer, and only one hidden layer in which the hidden layer neurons are fully connected with algebraic (instantaneous) connections, and not delayed connections. The FRPN is particularly attractive as an alternative to deep MLP since the FRPN eliminates the need of obtaining the number of hidden layers and the number of neurons per hidden layer. Some insight into the operational mechanisms of the FRPN is obtained through an application to a practical learning problem, viz., the handwritten digit recognition problem.

关键词： Neurons Biological neural networks Training Recurrent neural networks computer architecture Australia Learning systems

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General Quantized Innovation Kalman Filter for Stochastic Uncertain Systems with Random Packet Dropouts

General Quantized Innovation Kalman Filter for Stochastic Un...

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Youth Academic Conference of Chinese Association of Automation

作者： Huai min Li Qiang Ling School of Computer and Information Engineering Fuyang Normal University Fuyang 236037 China Dep. of Automation University of Science and Technology of China Hefei 230027 China

ISBN: (纸本)9781538629024

Due to of the bandwidth constraint, sensors may only be able to transmit a finite number of bits to save the energy, and the measurement data may have to be quantized before transmission especially in wireless sensor networks (WSNs). This paper studies the problem of the general quantized innovation filtering with random packet dropouts for linear stochastic uncertain systems. The multiplicative uncertainty of system parameters is first converted into additive noises. Then under the Gaussian assumption on the predicted density, the Lloyd-Max quantizer, a general quantized innovation filter with random packet dropouts in the linear minimum mean square error (LMMSE) sense is derived based on the projection theory and Bayes Rule. Furthermore a sufficient condition is provided, under which a general quantized innovation filter with random packet dropouts can be reduced into a standard Kalman filter. An example is simulated to illustrate the effectiveness and correctness of the designed filter.

关键词： General Quantized Innovation Filter Stochastic Uncertain System Packet Dropouts

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Constraints and control strategies of quasi-Z-source cascaded multilevel inverter

Constraints and control strategies of quasi-Z-source cascade...

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Annual Conference of Industrial Electronics Society

作者： Rui Zhang Yuan Li Yu Liu Dep. of Electrical Engineering and Information Technology Sichuan University Chengdu China South-Central University For Nationalities Wuhan China

The quasi-Z-source cascaded multilevel inverter is a new type of inverter topology that can achieve buck/boost and DC-AC conversion in single-stage system and output multi-level voltage. When it is applied to distributed grid-connected generation, a big output power difference between modules will lead to grid-connected current distortion and system instability. In this paper, the output power ratio constraint inequality is deduced, and the reason of previous problem is revealed. In order to maintain the system stability, an automatic output power ratio constraint based MPPT algorithm is proposed. Besides, the power allocation based grid-connected control strategies are employed to realize DC bus voltage balance and distributed MPPT. Simulation results prove the relevant theories.

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An nonlinear control strategy for single-phase Quasi-Z-source grid-connected inverter

An nonlinear control strategy for single-phase Quasi-Z-sourc...

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Annual Conference of Industrial Electronics Society

作者： Fan Fang Yuan Li Rui Zhang Yu Liu Dep. of Electrical Engineering and Information Technology Sichuan University Chengdu China South-Central University For Nationalities Wuhan China

The Quasi-Z-Source inverter (qZSI) applied to the photovoltaic (PV) system has nonlinear and unstable zero dynamic characteristics, which leads to the problem of narrow system bandwidth and slow dynamic response. A nonlinear control strategy is proposed based on the input-output feedback linearization method. The nonlinear affine model of qZSI is presented and transformed to a linearized and decoupled form with the help of the input-output feedback linearization technique. Based on the local linearized model, simple linear controllers are employed to regulate the input voltage, which significantly reduces the difficulty in controller design. The method of indirectly control of the converter input voltage with a inner inductor current feedback is used to solve the problem of unstable zero dynamics. The Quasi-Proportional-Resonant controller is used to eliminate the steady state error of grid-connected current. The proposed control method realizes decoupling control for DC side (boost control) and ac side (grid-connected current control of PV system). Simulation results of proposed method and conventional control method are compared. The results show that the proposed control strategy can track the maximum power point voltage reference quickly and accurately. The effect of unstable zero-dynamic on DC-link voltage is reduced, and the transferring of disturbance from DC side to the AC side of the qZSI is mitigated effectively. The system has higher stability and dynamic performance.

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Wavelet transform based technique for text image localization

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Karbala International Journal of Modern Science 2016年第2期2卷 138-144页

作者： Ali, Suhad A. Hashim, Ashwaq T. Babylon University Science College for Women Computer Science Dep. Babylon Iraq Technology University Control and Systems Engineering Dep. Baghdad Iraq

In this paper, a robust technique based on discrete wavelet transform, edge detection, and morphology operation for scene text detection is proposed. There are several stages in the proposed method. In the first stage, a single wavelet decomposition LH, HL and HH subbands are applied for detecting edges in original scene text image. The projection technique is applied in the second stage to preliminary detect text and non-text pixels. In third stage, 4-connected components are applied, and then area geometric feature is used as threshold to remove non-text region. At last stage, morphological operations are applied to connect isolated text components and to remove non-text regions. The proposed method is applied on a various images such as images of low contrast, complex background images and images of different fonts and size of text. The experimental results show that the proposed method can detect regions of the text perfectly. © 2016 The Authors

关键词： Connected components DWT Image projection Morphological operator

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Application of Typical Meteorological Years for Sizing Building Integrated PV Systems under Zero Load Rejections

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Energy Procedia 2017年 105卷 881-887页

作者： K.A. Kavadias D. Zafirakis A.G. Paliatsos Soft Energy Applications and Environmental Protection Laboratory Mechanical Engineering Dep. Piraeus University of Applied Sciences P.O. Box 41046 Athens 12201 Greece Lab of Environmental Technology Electronic Computer Systems Engineering Dep. Piraeus University of Applied Sciences P.O. Box 41046 Athens 12201 Greece

Autonomous photovoltaic systems have already been proved as one of the most reliable ways to handle the electrification requirements of remote consumers in isolated areas. The technology improvement in the field of building integrated photovoltaic systems, along with the governmental financial incentives for boosting the corresponding energy sector, have increased the interest of installing small scale photovoltaic systems not only in remote dwellings but also in grid-connected households. The penetration of photovoltaic systems in densely populated areas has made people even more familiar with them and therefore people with environmental consciousness are more likely to adopt the specific technology. In this context, the present work aims in highlighting the capabilities of building integrated photovoltaic systems along with battery storage devices in covering the electrical needs of a typical dwelling using real electricity demand and meteorological data based on Typical Meteorological Year time series. The system is simulated on an hourly basis by using an integrated numerical code that has been developed by the Soft Energy Applications & Environmental Protection Laboratory of the Mechanical engineering dep.. of Piraeus University of Applied Sciences in Greece. The proposed solution guarantees zero load rejections under different solar potential schemes investigating also the possibilities of minimizing the storage system capacity.

关键词： RES power PV systems BIPV Building integrated photovoltaic systems

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Joining of non-weldable AA7075 and weldable AA6082 aluminium alloy sheets by Friction Stir Welding

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IOP Conference Series: Materials Science and engineering 2018年第1期448卷

作者： Zsolt Kovács Ferenc Hareancz John von Neumann University GAMF Faculty of Engineering and Computer Science Dep. of Vehicle Technology Kecskemét H-6000 Hungary

In this work, an attempt has been made to join the AA6082-T651 and AA7075-T651 aluminium alloys by friction stir welding (FSW). The FSW is a solid-state joining process which primarily used on aluminium because the metal is not melted during the process so the base material can not soften. For the welding were using cylindrical pin tool, marble table to avoid the harmful heat conduction, two rotation rate of 500 and1000 rpm and different traverse speeds of 15, 20, 25 and 30 mm/min to weld butt joints. The aim of present study were to experimentally explore the dissimilar bounds. For evaluations, hardness testing were using to create hardness profiles across the joint in through thickness direction and optical microscope to classify the microstructures and crystallographic textures of base materials (BM). Based on the results obtained it can be stated that the FSW suitable for AA7075 and AA6082 welding by further optimization of the process parameters.

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Performance characterization of image feature detectors in relation to the scene content utilizing a large image database

arXiv

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arXiv 2017年

作者： Ferrarini, Bruno Ehsan, Shoaib Leonardis, Ales Rehman, Naveed Ur McDonald-Maier, Klaus D. University of Essex School of Computer Science and Electronic Engineering ColchesterCO4 3SQ United Kingdom Dep. of Electrical Engineering COMSATS Institute of Information Technology Islamabad Pakistan School of Computer Science University of Birmingham Birmingham United Kingdom

Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research. Although the literature offers a variety of comparison works focusing on performance evaluation of image feature detectors under several types of image transformations, the influence of the scene content on the performance of local feature detectors has received little attention so far. This paper aims to bridge this gap with a new framework for determining the type of scenes which maximize and minimize the performance of detectors in terms of repeatability rate. The results are presented for several state-of-the-art feature detectors that have been obtained using a large image database of 20482 images under JPEG compression, uniform light and blur changes with 539 different scenes captured from real-world scenarios. These results provide new insights into the behavior of feature detectors. Copyright © 2017, The Authors. All rights reserved.

关键词： Feature extraction

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