Browsing Bildiri Koleksiyonu by Language "tur"
Now showing items 1-20 of 38
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Action Potential Detection in Extracellular Recordings Using "Truncation Thresholds"
(IEEE, 2015)Spike trains of individual neurons can be recorded in awake behaving subjects using extracellular electrodes that are chronically implanted into the brain. Analyzing the information contained in these spike trains involves ... -
Automatic Classification of Natural Stone Tiles with Computer Vision
(IEEE, 2018)Classification in natural stone industry have a great importance for enterprises. There are reinstatement cases arising from the fact that ordered granite parties are not the same as the agreed sample parties at the ... -
BER Analysis and Application in FPGA and FPAA Based Communication Systems
(IEEE, 2017)This study, it is aimed to perform BER performance analysis in FPGA / FPAA based communication systems known as Embedded systems by using Arduino in Matlab / Simulink environment. Using the Sprott_f chaotic generator, BER ... -
BER Performance of Generalized Multicarrier DS-CDMA System with Blackman Chip Waveforms over Nakagami-m Fading Channels
(IEEE, 2008)Multicarrier direct sequence-code division multiple access (MC DS-CDMA) is a novel radio access scheme that combines time domain spreading and multicarrier modulation. However, MC DS-CDMA systems suffer strongly from the ... -
Blockchain and Security in the IoT Environments: Literature Review
(IEEE, 2018)The Internet of Things (LOT) has been the focus of research in recent years. It is inevitable that some security problems arise due to the increased need and demand for intelligent systems and that these problems frequently ... -
Classification of Customer Demands by Organizational Workflows
(IEEE, 2018)Corporate firms that aim to be permanent in the long term should not lose existing customers and need to win new customers. The increase in the number of firms offering similar services also increases the alternatives for ... -
COMPARISON OF THE EFFECTS DIMENSIONALTY METHODS IN THE TRAINING OF NEURO-FUZZY (ANFIS) CLASSIFICATIONS
(IEEE, 2017)Adaptive Network Based Fuzzy Inference Systems (ANFIS) is a hybrid artificial intelligence method that uses artificial neural network models with parallel computing and learning features and fuzzy logic extraction. The ... -
Comparison of the Web Based Multimedia Protocols for NAT Traversal Performance
(IEEE, 2015)RTMFP and WebRTC standards for Web-based real-time media data sharing applications are provided significant gains. These types of applications and are among the topics researched intensely. A model for the web based real ... -
Detection and discrimination of complex thrust and salt tectonics structures using field data and RASAT images around the Emirhan region (Sivas, Turkey)
(IEEE, 2016)RASAT L2 visible and panchromatic images were used to detect both thrust and salt tectonics structures as a reliable geologic mapping tool in this research. As a geographical transition plateau between Inner and Eastern ... -
Detection of Bone Excretion with Current Sensor in Robotic Surgery
(IEEE, 2018)Bone drilling operation is widely used method in surgery. This operation must be done with hight care. In the case of failur some demage might be happened. In this paper a new technich is presented. By this method 1,5 mm ... -
Determination of bearing capacities of different rock units in some open-pit mines
(UCEAT-CHAMBER MINING ENGINEERS TURNKEY, 2007)As it is known that, one of the important parameters which should be taken into consideration during the design studies of open-pit working areas and roads is the ground bearing capacity. Within the scope of this study, ... -
DNA Sequence Compression within Traditional Text Compression Algorithms
(IEEE, 2017)It aimed that traditional text compression methods are using on compression of DNA sequence in this study. It has seen that the random short repeats are vital and it has examined their posivite impact for compression. A ... -
Evaluation of Fabric Defect Detection Based on Transfer Learning with Pre-trained AlexNet
(IEEE, 2018)Deep learning methods are successful in many different domains such as image, natural language and signal processing. However, the number of samples affects success of deep learning algorithms significantly. Therefore, it ... -
Examining of Single Sign on Protocols and A Model of Business Application
(IEEE, 2017)Users have to require authentication with many times different a set of username and password which access various service providers and applications in their daily task and on social life. In this case, the user must need ... -
Fabric Defect Detection using Deep Learning
(IEEE, 2016)Fabric defect detection have importance in terms of sectoral quality. Automatic systems are developed on the defect detection, in this regard many methods are tried to obtain high precision with image processing studies. ... -
Fabric Defect Detection with LBP-GLMC
(IEEE, 2017)Fabric defect detection is vital for fabric quality. In the face of increasing fabric production, the fact that the detection of fabric faults by manpower is insufficient in terms of speed and quality has forced firms to ... -
Feature Selection Methods in Sentiment Analaysis
(IEEE, 2017)In today's technology, people are starting to share their opinions, ideas and feelings through many mediums because the internet is used extensively by every segment. These shares have become an important source of work ... -
Firing Rate Dependence of "Truncation Thresholds"
(IEEE, 2015)Single unit action potentials that are found in extracellular neural recordings are often detected using a threshold. The threshold is usually computed as proportional to the standard deviation of the entire recording. ... -
FPAA Implementation of CNN Based Chaos Generator
(IEEE, 2017)Recent times Field Programmable Analog Arrays (FPAAs) attracts attention among the reprogrammable and reconfigurable hardwares because of their flexible structure and analog outputs. Thus, a Celluar Neural Network (CNN) ... -
FPGA and FPAA Implementation of Switched-State-Controlled CNN Based Sprott C Chaos Generator
(IEEE, 2018)In this paper, a realization of Sprott-94-c system using Switch State Control Cellular Neural Network (SC-CNN) is presented In addition to simulation results, Field Programmable Gate Arrays (FPGAs) and Field Programmable ...