Browsing by Author "Öǧrenci, Arif Selçuk"
Now showing items 1-20 of 33
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A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
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Publisher and Date:(IEEE, 2006)A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and optimization guidelines are provided and extensively discussed. Qualitative comparisons of neural training strategies have been provided.
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Abstraction in FPGA implementation of neural networks
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Publisher and Date:(World Scientific and Engineering Academy and Society, 2008)A model for FPGA implementation of multilayer perceptron neural networks is presented. The model tries to incorporate object oriented design principles in the analysis training and design of components using hardware description languages. The synthesis will be based on the tools supplied by the FPGA vendors. The results indicate that the method can be utilized and it can be further improved to create a general methodology that bridges the gap between hardware and software in embedded system design.
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An open software architecture of neural networks: Neurosoft
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Publisher and Date:(2004)Software architecture of generic distributed neural networks and its relevant information model have been developed. Principles of on-line architecture building training controlling (managing) and topological optimization guidelines are provided and extensively discussed.
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Anomaly detection in time series
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Publisher and Date:(Kadir Has University, 2019)The concept of "Internet of Things" is based on connecting any physical object through the internet. This will facilitate our daily lives by dedicating technology in our will. In such a world, the number other interconnected devices is enormous, hence, the need for high performance processing in real-time is huge. This research shines light on the importance of the event processing and machine learning in the time series. A multiple of machine learning algorithms such as support vector machine, ...
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Anomaly Detection in Walking Trajectory
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Publisher and Date:(IEEE, 2018)Analysis of the walking trajectory and the detection of anomalies in this trajectory, provide important benefits in the fields of health and security. In this work, two methods to detect anomalies in trajectories, are compared. Firstly, an unsupervised method is used where the conformance among trajectories are taken into consideration. Trajectories that deviate from others are qualified as anomalies. Secondly, the points in the trajectories are considered as a time series. Artifical neural networks ...
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Anomaly detection in walking trajectory [Yürüyüş yörüngesinde anormallik algılama]
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Publisher and Date:(Institute of Electrical and Electronics Engineers Inc., 2018)Analysis of the walking trajectory and the detection of anomalies in this trajectory provide important benefits in the fields of health and security. In this work two methods to detect anomalies in trajectories are compared. Firstly an unsupervised method is used where the conformance among trajectories are taken into consideration. Trajectories that deviate from others are qualified as anomalies. Secondly the points in the trajectories are considered as a time series. Artifical neural networks ...
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Beacons for Indoor Positioning
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Publisher and Date:(IEEE, 2017)This work aims to develop a system for the tracking and control of elderly or handicapped people in an indoor environment. We have developed both a special box using an Arduino board and a mobile application on Android to determine the location of the target based on the Bluetooth Low Energy signals transmitted by special Beacons which are placed in the area of interest. Both systems are used to determine the position of the person and to monitor any event that would cause an alert. Those events ...
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Channel estimation for visible light communications using neural networks
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Publisher and Date:(Institute of Electrical and Electronics Engineers Inc., 2016)Visible light communications (VLC) is an emerging field in technology and research. Estimating the channel taps is a major requirement for designing reliable communication systems. Due to the nonlinear characteristics of the VLC channel those parameters cannot be derived easily. They can be calculated by means of software simulation. In this work a novel methodology is proposed for the prediction of channel parameters using neural networks. Measurements conducted in a controlled experimental setup ...
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Concept map based learning system
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Publisher and Date:(Kadir Has University, 2014)Concept Map is a training technique which accelerates facilitates and consolidates the learning process. Concept map uses concepts and connections between concepts to train and transmit the information during education. A web application which is based on this technique has been developed. The application is designed for the teachers from different branches students for various ages and everyone who wants to teach and learn any subject. The application is web based and designed for different screen ...
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Empirical results about efforts for effective teaching to y-generation freshman students
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Publisher and Date:(IEEE, 2012)New techniques are deployed to teach the new generation of students effectively. This work tries to share our experience in a blended course for over eleven years. It has been observed that the online portion of the course has to be adjusted carefully in order to obtain a high level of student satisfaction and overall throughput from the course. © 2012 IEEE.
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Epidemic models for phase transitions: application to a physical gel
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Publisher and Date:(Taylor & Francis Ltd, 2017)Carrageenan gels are characterized by reversible sol-gel and gel-sol transitions under cooling and heating processes and these transitions are approximated by generalized logistic growth curves. We express the transitions of carrageenan-water system as a representative of reversible physical gels in terms of a modified Susceptible-Infected-Susceptible epidemic model as opposed to the Susceptible-Infected-Removed model used to represent the (irreversible) chemical gel formation in the previous work. ...
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Fault-tolerant training of neural networks in the presence of MOS transistor mismatches
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Publisher and Date:(IEEE-INST Electrical Electronics Engineers Inc, 2001)Analog techniques are desirable for hardware implementation of neural networks due to their numerous advantages such as small size low power and high speed. However these advantages are often offset by the difficulty in the training of analog neural network circuitry. In particular training of the circuitry by software based on hardware models is impaired by statistical variations in the integrated circuit production process resulting in performance degradation. In this paper a new paradigm of ...
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Fuzzy logic for decision extraction from product reviews
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Publisher and Date:(Institute of Electrical and Electronics Engineers Inc., 2018)Most of manufacturers and merchants sell their products via internet websites where customers buy them and write their reviews regarding the purchased product. These reviews carry a lot of information. Prospective customers are heavily interested in the experience of the predecessor customers where enormous number of reviews are offered by the website per product. In this study given a dataset of reviews we give a solution to estimate a total score of sentiment for the product reviewed. For this ...
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A Hybrid Deep Learning Framework for Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data
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Publisher and Date:(Mdpi, 2020)Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease outbreak detection. In most settings, spatial context is often expressed in terms of ZIP code or region coordinates such as latitude and longitude. However, traditional anomaly detection techniques cannot handle more than one contextual attribute in a unified way. In this paper, a ...
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Load flow based electrical system design and short circuit analysis
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Publisher and Date:(Kadir Has University, 2019)Load flow and short circuit behaviour of electrical energy systems are investigated. The system to be investigated, is designed based on a 230kVA power grid analytical model. Load flow analysis is crucial for the design of electrial power systems where tests related to load flow are indispensible. This work includes modelling of several electrical power components (transformer, power grid, bus bar, circuit breakers, etc. ) to highlight the methods in the study of the system behaviour. Faults ...
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Log analysis with anomaly detection
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Publisher and Date:(Kadir Has University, 2019)Detection of anomalies in the data is an important data analysis job for server logs as they will reveal many benefits. Different types of methods can be used for anomaly detection: supervised, semi-supervised, and supervised anomaly detection. Similarly different algorithms exist for each category. In this work, four anomaly detection algorithms are utilized and their performance metrics are compared for public Hadoop Distributed File System (HDFS) data. Among the others, the support vector ...
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Mathematical Characterization of Thermo-reversible Phase Transitions of Agarose Gels
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Publisher and Date:(Taylor & Francis Inc, 2018)The thermal phase transition temperatures of high (HMP) and low melting point (LMP) agarose gels were investigated by using UV-vis spectroscopy techniques. Transmitted light intensities from the gel samples with different agarose concentrations were monitored during the heating (gel-sol) and cooling (sol-gel) processes. It was observed that the transition temperatures T-m defined as the location of the maximum of the first derivative of the sigmoidal transition paths obtained from the UV-vis ...
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Mathematical models for phase transitions in biogels
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Publisher and Date:(World Scientific Publ Co Pte Ltd, 2019-03-30)It has been shown that reversible and irreversible phase transitions of biogels can be represented by epidemic models. The irreversible chemical sol-gel transitions are modeled by the Susceptible-Exposed-Infected-Removed (SEIR) or Susceptible-Infected-Removed (SIR) epidemic systems whereas reversible physical gels are modeled by a modification of the Susceptible-Infected-Susceptible (SIS) system. Measured sol-gel and gel-sol transition data have been fitted to the solutions of the epidemic models, ...
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Mathematical models for phase transitions in biogels
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Publisher and Date:(World Scientific Publ Co Pte Ltd, 2019)It has been shown that reversible and irreversible phase transitions of biogels can be represented by epidemic models. The irreversible chemical sol-gel transitions are modeled by the Susceptible-Exposed-Infected-Removed (SEIR) or Susceptible-Infected-Removed (SIR) epidemic systems whereas reversible physical gels are modeled by a modification of the Susceptible-Infected-Susceptible (SIS) system. Measured sol-gel and gel-sol transition data have been fitted to the solutions of the epidemic models, ...
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Parameter quantization effects in Gaussian potential function neural networks
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Publisher and Date:(World Scientific and Engineering Academy and Society, 2001)In hardware implementations of Gaussian Potential Function Neural Networks (GPFNN) deviation from ideal network parameters is inevitable because of the techniques used for parameter storage and implementation of the functions electronically resulting in loss of accuracy. This loss in accuracy can be represented by quantization of the network parameters. In order to predict this effect theoretical approaches are proposed. One-input one-output GPFNN with one hidden layer have been trained as function ...
