NCO Academy

Balıkesir, Turkey

NCO Academy

Balıkesir, Turkey
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Bulent UsaklI A.,NCO Academy
Journal of Computational Neuroscience | Year: 2010

In bio-signal applications, classification performance depends greatly on feature extraction, which is also the case for electroencephalogram (EEG) based applications. Feature extraction, and consequently classification of EEG signals is not an easy task due to their inherent low signal-to-noise ratios and artifacts. EEG signals can be treated as the output of a non-linear dynamical (chaotic) system in the human brain and therefore they can be modeled by their dimension values. In this study, the variance fractal dimension technique is suggested for the modeling of movement-related potentials (MRPs). Experimental data sets consist of EEG signals recorded during the movements of right foot up, lip pursing and a simultaneous execution of these two tasks. The experimental results and performance tests show that the proposed modeling method can efficiently be applied to MRPs especially in the binary approached brain computer interface applications aiming to assist severely disabled people such as amyotrophic lateral sclerosis patients in communication and/or controlling devices. © 2010 Springer Science+Business Media, LLC.


Guo Y.,NCO Academy | Guo Y.,Beihang University | Zhang Z.,Beihang University | Zhou K.,Southwest Jiaotong University | And 2 more authors.
Chinese Control Conference, CCC | Year: 2016

The inherent rate-dependent hysteresis in smart actuators hinders their wider applicability in practical engineeering. In this paper, based on the rate-dependent Hammerstein model, a 2 DOF control scheme with a robust controller combined with a hysteresis compensator is proposed for tracking control of smart actuators. The hysteresis compensator is first connected in cascade with an actuator to cancel out the static hysteresis, then the compensation errors and the modeling errors are attributed to the additive model uncertainty, and finally an H∞ integral robust controller is designed. Compared to the H∞ robust controller without integrator, the H∞ integral robust controller results in smaller errors. The tracking control simulation results for a giant magnetostrictive actuator verified the effectiveness of the proposed control scheme. © 2016 TCCT.


Zhou J.-D.,PLA Air Force Aviation University | Zhou J.-D.,Fourth Laboratory of Complex System | Wang X.-D.,NCO Academy | Zhou H.-J.,Fourth Laboratory of Complex System | And 2 more authors.
Optical Engineering | Year: 2012

It is known that error-correcting output codes (ECOC) is a common way to model multiclass classification problems, in which the research of encoding based on data is attracting more and more attention. We propose a method for learning ECOC with the help of a single-layered perception neural network. To achieve this goal, the code elements of ECOC are mapped to the weights of network for the given decoding strategy, and an object function with the constrained weights is used as a cost function of network. After the training, we can obtain a coding matrix including lots of subgroups of class. Experimental results on artificial data and University of California Irvine with logistic linear classifier and support vector machine as the binary learner show that our scheme provides better performance of classification with shorter length of coding matrix than other state-of-the-art encoding strategies. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).


Chengtian S.,Beijing Institute of Technology | Zhiliang S.,NCO Academy | Xi P.,Beijing Institute of Technology
Advances in Intelligent and Soft Computing | Year: 2012

An review on the development and extrodinary properties of left-handed materials is first coverd.Based on the current research, left-handed materials is applied to the microstrip antenna design.Two miniaturized antenna are designed by using the left-handed materials, which makes futhur miniaturization of microstrip antenna possible. © 2012 Springer-Verlag GmbH.


Usakli A.B.,IRCCS Fondazione Santa Lucia | Usakli A.B.,NCO Academy | Gurkan S.,NCO Academy | Aloise F.,IRCCS Fondazione Santa Lucia | And 2 more authors.
Computational Intelligence and Neuroscience | Year: 2010

The aim of this study is to present electrooculogram signals that can be used for human computer interface efficiently. Establishing an efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amyotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular responses. We have made several experiments to compare the P300-based BCI speller and EOG-based new system. A five-letter word can be written on average in 25 seconds and in 105 seconds with the EEG-based device. Giving message such as clean-up could be performed in 3 seconds with the new system. The new system is more efficient than P300-based BCI system in terms of accuracy, speed, applicability, and cost efficiency. Using EOG signals, it is possible to improve the communication abilities of those patients who can move their eyes. Copyright © 2010 A. B. Usakli et al.


Wang Q.,Science and Technology on Integrated Information System Laboratory | Wang H.,Science and Technology on Integrated Information System Laboratory | Wang H.,CAS Institute of Software | Zhang C.,Science and Technology on Integrated Information System Laboratory | And 3 more authors.
IEEE International Conference on Data Mining Workshops, ICDMW | Year: 2015

In current days, data tend to become much bigger than before, and the distributed computing system is an prevalent option to deal with them. As one of powerful tools, MapReduce framework provides a cheap and efficient way to write parallel programs to run on distributed computing systems. Chance discovery (CD) is an extension of data mining, where chance refers to rare but important events or situations. Idea Graph is an efficient algorithm proposed to detect chances. However, the traditional implementation of Idea Graph is sequential, and its performance encounters some bottlenecks when dealing with big data. In this paper, we propose a parallel implementation of Idea Graph using MapReduce to better meet with the challenge of big data. First, we introduce the MapReduce framework, and then Idea Graph is introduced in brief. After that, we present the details on how we design the parallel Idea Graph implementation. In the end of the paper, several experiments are conducted to evaluate the proposed implementation. The experimental results demonstrate the validation of the proposed implementation and its better performance as compared with that of sequential Idea Graph implementation when handling big data. © 2014 IEEE.


Hu L.,NCO Academy | Wang X.,NCO Academy
2015 IEEE International Conference on Communication Problem-Solving, ICCP 2015 | Year: 2015

In order to design secret information hiding for public mobile communication system, this paper detailed analyzes the software and hardware solution of information hiding in Audio for mobile communication system. A speech hiding algorithm based on energy ratio adjust is presented. The hearing similarity, robustness and computational complexity of the whole system are tested and analyzed. Test results show that the confidential information can be transmitted covertly through the system. © 2015 IEEE.


Zhang D.,NCO Academy | Cheng X.,NCO Academy | Xu B.,NCO Academy | Xue X.,NCO Academy | Jiang C.,NCO Academy
Applied Mechanics and Materials | Year: 2012

To improve the efficiency and precision of missile servo mechanism testing, as the research object, a certain missile servo mechanism was studied in this paper. Based on PC/104 bus and virtual instrument technique, a missile servo mechanism automatic test system was presented, and the design and development on hardware and software of the system was described in detail. The system, which is featured with its simple operation, high precision, high reliability, scalable and portable test software, has been proved to be feasible by the test result. © (2012) Trans Tech Publications.


Usakli A.B.,NCO Academy
Computational Intelligence and Neuroscience | Year: 2010

The aim of this study is to present some practical state-of-the-art considerations in acquiring satisfactory signals for electroencephalographic signal acquisition. These considerations are important for users and system designers. Especially choosing correct electrode and design strategy of the initial electronic circuitry front end plays an important role in improving the system's measurement performance. Considering the pitfalls in the design of biopotential measurement system and recording session conditions creates better accuracy. In electroencephalogram (EEG) recording electrodes, system electronics including filtering, amplifying, signal conversion, data storing, and environmental conditions affect the recording performance. In this paper, EEG electrode principles and main points of electronic noise reduction methods in EEG signal acquisition front end are discussed, and some suggestions for improving signal acquisition are presented. Copyright © 2010 Ali Bulent Usakli.


Usakli A.B.,NCO Academy | Gurkan S.,NCO Academy
IEEE Transactions on Instrumentation and Measurement | Year: 2010

The aim of this paper is to present the design and application of an electrooculogram (EOG) based on an efficient humancomputer interface (HCI). Establishing an alternative channel without speaking and hand movements is important in increasing the quality of life for the handicapped. EOG-based systems are more efficient than electroencephalogram (EEG)-based systems in some cases. By using a realized virtual keyboard, it is possible to notify in writing the needs of the patient in a relatively short time. Considering the biopotential measurement pitfalls, the novel EOG-based HCI system allows people to successfully communicate with their environment by using only eye movements. Classifying horizontal and vertical EOG channel signals in an efficient interface is realized in this study. The new system is microcontroller based, with a common-mode rejection ratio of 88 dB, an electronic noise of 0.6 μV (p-p), and a sampling rate of 176 Hz. The nearest neighborhood algorithm is used to classify the signals, and the classification performance is 95%. The novel EOG-based HCI system allows people to successfully and economically communicate with their environment by using only eye movements. © 2006 IEEE.

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