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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Renat Vishnyakov Yury Vishnyakov Southern Federal University/Faculty of Automation and Computer Engineering Taganrog Russia

The paper presents a formal sentence model of scientific and technical texts to be used in the process of semantic interpretation. The model is based on the word dependencies, formed by sequences of word combinations that are called dependency chains. Characteristic word sets are defined within the dependency chains and the discriminated transitive closure of direct dependence as well as its notation in the form of the incidence matrix are assigned. The procedures and algorithms of semantically cohesive sentence fragments detection are constructed on the basis of the introduced concepts.

关键词： Semantics Educational institutions Algorithm design and analysis Machine intelligence Informatics Computational modeling Natural languages

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Distributed Generation Technologies and Optimization

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Procedia Technology 2014年 12卷 687-692页

作者： Lucian Ioan Dulău Mihail Abrudean Dorin Bică PhD School System Engineering Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania/Faculty of Engineering “Petru Maior” University of Tîrgu-Mureş Tîrgu-Mureş Romania Department of Automation Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Electrical and Computer Engineering Faculty of Engineering “Petru Maior” University of Tîrgu-Mureş Tîrgu-Mureş Romania

This paper describes the main technologies used for distributed generation and the optimization of a system that contains these technologies. The term distributed generation refers to the production of electricity near the consumption place. The distributed generation resources are renewable energies and cogeneration (simultaneous production of heat and electricity). Renewable energy is energy from natural resources such as wind, sunlight, tides, waves, geothermal heat and biomass. The optimization aims to minimize the electricity production costs ensuring that the load is served reliably.

关键词： distributed generation renewable energy micro-hydro photovoltaic panel wind turbine optimization

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Effects of Distributed Generation on Electric Power Systems

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Procedia Technology 2014年 12卷 681-686页

This paper describes the effects of distributed generation on electric power systems. Distributed generation is a term that refers to the production of electricity near the consumption place. The effects of distributed generation are: short circuit levels are increased, load losses change, voltage profiles change along the network, voltage transients will appear, congestions can appear in system branches, power quality and reliability may be affected and the networks protections may not function properly. A load flow analysis is done for the IEEE 14 system in which a distributed generator is added, that is on-grid or off-grid.

关键词： distributed generation electric power system effects load flow analysis IEEE 14

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Efficiency analysis of opportunistic routing protocol in wireless multi-hop networks

Efficiency analysis of opportunistic routing protocol in wir...

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International Conference on Cyberspace Technology, CCT 2014

作者： Lai, Xiaoyang Wang, Dongyang Lin, Duo School of Computer and Communication Engineering University of Science and Technology Beijing100083 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications 100876 China Faculty of Information Engineering and Automation Kunming University of Science and Technology 650500 China

ISBN: (纸本)9781849199285

Opportunistic routing (OR) is widely regarded as a promising way to improve the transmission reliability in wireless multi-hop networks. However, additional overheads introduced by OR such as duplicate transmission and collision avoidance overhead degrade the transmission efficiency. In this paper, an analytical model based on open queueing network with markov chains is proposed to evaluate the efficiency. In the analysis, efficiency is expressed by time overhead including the average queue delay and the back off time to transmit. With the knowledge of delivery ratio, the closed form expressions of time overhead could be obtained. In order to validate rationality of the model, three typical ORs were analyzed based on the proposed model and at the same time a large number of simulation studies have been done. We observed that theoretical value of the proposed model coincides basically with the experimental data with the average error less than 5%.

关键词： Efficiency

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Improvement of Sun Flare Prediction by SVM Integrated GA

Improvement of Sun Flare Prediction by SVM Integrated GA

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Yukiko Yamamoto Setsuo Tsuruta Takayuki Muranushi Yuko Hada Muranushi Syoji Kobashi Yoshiyuki Mizuno Rainer Knauf School of Information Environment Tokyo Denki University Inzai Japan Kwasan and Hida Observatories Kyoto University Kyoto Japan Kyoto Women's University Kyoto Japan RIKEN Advanced Institute for Computational Science Kobe Japan Graduate School of Engineering University of Hyogo Himeji Japan Faculty of Computer Science and Automation Ilmenau University of Technology Ilenau Germany

Solar activity has various influences on the global environment, in particular on the weather and the likelihood of natural disasters. In particular, it may have serious impacts on Earth such as failure of satellite communication and navigation (GPS), satellite damage, increased radiation exposure to astronauts, geomagnetic storm and aurora, and power plant failures causing more serious disaster. For a precise forecast of larger scale solar flares causing serious disaster, it is important to improve the space weather forecast, which is basically a daily forecast of the solar flare. In our work so far, a machine-learning algorithm called Support Vector Machine (SVM) was used to forecast the space weather. Here, we propose to extend this technology by integrating a Genetic Algorithm (GA) for a more precise forecast and present an evaluation of this approach.

关键词： Support vector machines Genetic algorithms Sociology Statistics Weather forecasting Electronic mail

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Evolving fuzzy-model-based on c-regression clustering

Evolving fuzzy-model-based on c-regression clustering

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2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014

作者： Škrjanc, Igor Dovžan, Dejan Gomide, Fernando Laboratory of Modelling Simulation and Control Faculty of Electrical Engineering University of Ljubljana Tržaška 25 LjubljanaSI-1000 Slovenia Department of Computer Engineering and Automation DCA School of Electrical and Computer Engineering FEEC University of Campinas UNICAMP Av. Albert Einstein 400 Campinas SP13083-852 Brazil

ISBN: (纸本)9781479933471

In this paper a new approach to data stream evolving fuzzy model identification is given. The structure of the model is given in the form of Takagi-Sugeno and the partitioning of the input-output space is obtained using a fuzzy c-regression clustering method and the approach also involves the evolving properties. The method is given in a recursive form. The proposed approach is shown with two simple examples of nonlinear system approximation and nonlinear dynamical system modelling. © 2014 IEEE.

关键词： Nonlinear dynamical systems

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An unsupervised model for classification and recognition of household appliances

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Journal of Computational Information Systems 2014年第1期10卷 403-410页

作者： Liu, Li Ding, Jiaman Zhong, Jiayu Fu, Xiaodong Lv, Yang Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China State-Province Joint Laboratory of Digital Home Interactive Applications School of Information Science and Technology Sun Yat-Sen University Guangzhou 510006 China

Detecting and monitoring the numerous household appliances in smart home is significant for home energy management, because the large various household appliances are complicated to identify and control. This paper proposes an intelligent unsupervised model for the classification and recognition of household appliances. The key idea in this work is to integrate appliance and activity recognition mechanism for effective management and operation within a domestic location. We first present the corresponding classification list of household appliances w. r. t their respective usage patterns and basic power factors. Then, the communication services among various appliances are established to recognize complex appliances and monitor the variation of their states. Finally, the proposed method is applicable for an inexpensive, unsupervised controlling of electrical appliances in a real-time way. Experimental results show that our method effectively provides a financially viable and easily applicable solution for gathering information and monitoring status of diverse household appliances. Copyright © 2014 Binary Information Press.

关键词： Domestic appliances

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Phantom materials mimicking the optical properties in the near infrared range for non-invasive fetal pulse oximetry

Phantom materials mimicking the optical properties in the ne...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Sebastian Ley Miriam Stadthalter Dietmar Link Daniel Laqua Peter Husar Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics Technische Universitat Ilmenau

ISBN: (纸本)9781424479276

An optical phantom of the maternal abdomen during pregnancy is an appropriate test environment to evaluate a non-invasive system for fetal pulse oximetry. To recreate the optical properties of maternal tissue, fetal tissue and blood suitable substitutes are required. For this purpose, phantom materials are used, which consist of transparent silicone or water as host material. Cosmetic powder and India ink are investigated as absorbing materials, whereas titanium dioxide particles are examined as scattering medium. Transmittance and reflectance measurements of the samples were performed in the spectral range from 600 nm to 900 nm using integrating sphere technique. The scattering and absorption coefficients and the anisotropy factor were determined using Kubelka-Munk theory. The results were used to compute the required mixture ratios of the respective components to replicate the optical properties of maternal tissue, fetal tissue and blood, and corresponding samples were produced. Their optical properties were investigated in the same manner as mentioned above. The results conform to the values of various types of tissues and blood given in the scientific literature.

关键词： Optical scattering Powders Ink Blood Absorption

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Spike detection and sorting using PARAFAC2 method

Spike detection and sorting using PARAFAC2 method

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： T. Just M. Weis P. Husar Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics Ilmenau POB Germany

In this contribution we introduce the Parallel Factor 2 (PARAFAC2) analysis as a novel method for the simultaneous detection and classification of neural action potentials. In order to measure these action potentials (spike signals), stem cell derived neuronal cells are cultivated on the surface of a Micro Electrode Array (MEA). Here, the neuronal cells produce ion currents, which can be measured as extracellular electric potentials. Whenever a cell or a group of cells produces ion currents, either spontaneously or evoked by a stimulus, a spike signal can be measured by the electrodes of the MEA. Stimulated cells produce spikes and groups of spikes (bursts) which propagate in space over the MEA. In the recorded data, different source types (e.g., cells which respond directly to external stimuli and cells which are triggered by other neural cells) are characterized by different spike shapes. The proposed PARAFAC2 method is able to separate these spike shapes (sources) in time, frequency and space (channels) enabling an improved performance in noisy scenarios. Furthermore, PARAFAC2 allows for a causality analysis on the measured spike signals (i.e. the identification of different signal paths). Thereby, the PARAFAC2 decomposition is able to exploit the multi-dimensional structure of the MEA data.

关键词： Time-frequency analysis Signal to noise ratio Sorting Electric potential Electrodes Matrix decomposition Neurons

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H pinning synchronization of directed networks with aperiodic sampled-data communications

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IEEE Transactions on Circuits and Systems I: Regular Papers 2014年第11期61卷 3245-3255页

作者： Wen, Guanghui Yu, Wenwu Chen, Michael Z. Q. Yu, Xinghuo Chen, Guanrong Department of Mathematics Southeast University Nanjing210096 China School of Electrical and Computer Engineering RMIT University MelbourneVIC3001 Australia Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Department of Mechanical Engineering University of Hong Kong Pokfulam Hong Kong School of Automation Southeast University Nanjing210096 China Department of Electronic Engineering City University of Hong Kong Hong Kong SAR Hong Kong

This paper addresses the global {\cal H}\infty pinning synchronization problem for a class of directed networks with aperiodic sampled-data communications. Important yet challenging issues of how many and which nodes should be pinned for realizing global synchronization in a fixed directed network without external disturbances are first discussed. By using a combined tool from the input-delay approach and free-weighting matrices technique, some sufficient synchronizability conditions are then derived for such networks. Furthermore, a multi-step algorithm is designed to estimate the upper bound of the maximum allowable sampling intervals for achieving synchronization. Theoretical results are then extended to global {\cal H}\infty pinning synchronization in fixed and switched directed networks with external disturbances, showing that a finite {\cal H}\infty performance index can be guaranteed under some suitable conditions. Finally, numerical simulations are performed to demonstrate the effectiveness of the analytical results. © 2014 IEEE.

关键词： Complex networks

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