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We consider design of asynchronous OFDM-based diamond two-way-relay (DTWR) systems in time-varying frequency-selective (doubly-selective) fading channels such as underwater acoustic (UWA) channels. In a DTWR channel, two users exchange their messages with the help of two relays. Most of the existing work on asynchronous DTWR systems assume only small relative propagation delays between the received...
This paper presents an intelligent system for the classification of ischemic stroke severity. The application of Artificial Neural Network (ANN) is proposed in this study to classify ischemic stroke severity using EEG sub bands Relative Power Ratio (RPR). There were 100 subjects from National Stroke Association of Malaysia NASAM, Petaling Jaya, Selangor, Malaysia divided into Early Group (EG), Intermediate...
Virtual Machine Monitor (VMM) is very important for the cloud and data center environment. VMM runs continuously for a long time and hence encounters the problem of software aging. VMM experiences failure because of software aging. In order to prevent the VMM failure caused by software aging, a proactive fault management approach called software rejuvenation is used. There are various software rejuvenation...
In this study, we conduct agent-based simulation experiments of network formation focusing on a mathematical model proposed by Berninghaus et al. (2007) such that a periphery sponsored star network is the strict Nash equilibrium. Hayashida et al. (2011) conducted the simulation experiment using NN(Neural Network) and GA(Genetic Algorithm) model to analyze behavior of human subject in the experiment...
The intra prediction in HEVC exploits the new techniques, such as the tree coding structure and up to 35 intra prediction modes, etc., to achieve high coding efficiency but incur heavy computational complexity as well. To reduce the computational complexity, a novel fast mode decision algorithm for intra prediction in HEVC is proposed in this paper. In the proposed algorithm, by using the texture...
This paper presents a new method in forecasting Philippine Peso to US Dollar exchange rate. Compared to the conventional way, in which the Philippine Dealing System (PDS), as monitored by the Central Bank, determines the rate by analysing demand and supply, the use of artificial neural network, having consumer price index, inflation rate, lending interest rate and purchasing power of the peso as the...
One of the significant factor of privacy is the source of sound. It creates the level that determines the effectiveness of the other factor. To experience maximum privacy, cancelling of unwanted sound is necessary. To automate the design of sound masking, this proposal use Genetic Algorithm and Artificial Neural Network (SMUGAAN). By evolutionary method two stages are use: a) to determine the target...
This paper proposes a new decoupling control for high speed permanent magnet synchronous motor (HS-PMSM) based on the least squares support vector machine (LS-SVM) inversion system. And the online LS-SVM inverse controller is developed for the pseudo-linear system. Considering of the parameter regulating process of the LS-SVM, a proportional integral derivative (PID) controller is combined to improve...
The recognition of places that have already been visited is a fundamental requirement for a mobile robot. This particularly concerns the detection of loop closures while mapping environments as well as the global localization w.r.t. to a prior map. This paper introduces a novel solution to place recognition with 2D LIDAR scans. Existing approaches utilize descriptors covering the local appearance...
This research develops an automatic questionnaire survey model. In the proposed model, the questions in the questionnaires can be converted into structured components and the component characteristics can be obtained from the collective online message. By using the Artificial Neural Network method, the relationship model between the collective message and questionnaire questions can be derived and...
Thanks to improving technology human life is consistently becoming easier. In points which exceeds human abilities machines come into play and they overcomes they remedy the deficiencies of human. One of the disciplines which must be evaluated in this coverage is manufacturing artificial hand for defective human which can manage with EMG signals. In this paper we tried to classify EMG signals which...
In this study, Surface Acoustic Wave(SAW) sensor arrays have been used as chemical gas sensors. SAW sensors show different characteristics depending on the type and thickness of their coating materials. Furthermore these sensors are also affected by moisture. Taking into account that humidity values in the environment change in time, to make correct guesses it should be considered how humidity affects...
Earthquakes are what happens when immediate vibrations which shake earth surface, spread as waves as a result of earth crust cracks. Earthquakes depend on variables such as the way of spreading of these waves, calculation of these waves and calculating methods, evaluations of these recorded data sets. Predicting probable earthquakes and minimizing the damages are the important factors. Decision systems...
Before analysing cells in Laboratory in prostate cancer detection, a classification system can give valuable information about the cancer. In this study, classification of prostate cancer classification was realized by Artificial Immune Systems (AIS) and Artificial Neural Networks (ANN). 50 data were used in which 17 data belong to healty persons, 33 data belong to patients. Training-test data which...
The paper investigates the balance between Quality of Service (QoS) and power consumption for a traffic queue. Automatic adaptation to the power of the packet processing engine is sought through a heuristics and an optimal control strategy. The study allows to track the behavior of the system over time, thus avoiding the optimization of the steady state behavior of the system, which is hardly applicable...
The pre-diagnosis of diseases with computerized systems is widely used in recent years for reducing diagnosis time and ratio of misdiagnosis. In this study, a pre-diagnosis system has been proposed which separates of healthy and epileptic seizures periods. For the experiments, EEG signals acquired from healthy and epileptic individuals were used. In feature extraction stage, recurrence quantification...
Today, breast cancer is one of the most frequently seen cancer types. Analyses of breast cells characteristics have great importance in diagnosis, treatment and following of this disease. In this study, classification of 699 instances of breast cancer data that is available in UCI is performed through two different types of artificial neural network algorithm. In the literature, numerous algorithms...
In this study, a classification application is realized to determine the deformation status of the cutting disc. 673 cutting experiments data obtained from a marble cutting machine suited in a laboratuvary of the Afyon Kocatepe University are evaluated for this purpose. During the cutting process, 8 different signals (Axial forces (Fx, Fy, Fz), Noise, Peripheral speed of the disc, Current, Voltage...
Separation of thyroid nodules which are often morphologically similar is a significant task. Due to this similarity, different pathologist may fail to correctly evaluate and misdiagnose the lesions. Such misdiagnoses lead to substantial problems such as late recovery and unnecessary treatment process and costs. Use of immunohistochemical dyes help pathologists correctly diagnose the cases where morphologically...
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