http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13728 Thu, 23 Apr 2026 07:03:46 GMT 2026-04-23T07:03:46Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13836 Effect of relay-priority mechanism on multi-hop wireless sensor networks Arı, Davut; Çıbuka, Musa; Ağgün, Fikri In multi-hop Wireless Sensor Networks (WSN), sensor nodes which cannot communicate directly with the Coordinator Node(CN) can communicate with CN thanks to the other joined sensor nodes. The multi-hop WSN structure is preferred for large-scale WSNs and that consist of multiple sensor and CN. As in the networks sensor node count increase, hop count increase as well. Because of this, end-to-end delay increases. Unless it is taken prevention, end-to-end delays reach a level that negatively effects on network performance in multi-hop WSN. In this study, for multi-hop WSNs, it is aimed to design a new a relay-priority mechanism which will reduce the end-to-end delay. This is a method that will reach the CN with a minimum hop count while joining the node. Thanks to the minimum hop, end-to-end delay is reduced. Performance analysis of this study was done in Riverbed (OPNET) Modeler simulation environment. Sun, 01 Jan 2017 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13836 2017-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13835 Constituents of the volatile oils of two teucrium species from Turkey Hayta, Şükrü; Yazgın, Ayşe; Bağcı, Eyüp The chemical composition of the essential oils of dried aerial parts of two Teucrium species were analyzed by GC and GC-MS. The essential oils of two Teucrium species were studied and eighty components, in all, were identified representing (90.8%) and (82.4%) of the oils respectively. The oil of Teucrium polium L. subsp. polium is characterized by the monoterpene b-pinene (10.2%) and the sesquiterpene germacrene D (10.1%), while that of Teucrium multicaule Montbret Et Aucher Ex Bentham had a higher contents of sesquiterpene caryophyllene oxide (31.1%). Quantitative and qualitative variations were determined in the essential oil composition of different parts of the studied plant. The high amount of monoterpenes α- and β-pinene and the sesquiterpene germacrene D, caryophyllene oxide make the studied taxon a privileged potential source for pharmaceutical, cosmetic and industrial products. Sun, 01 Jan 2017 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13835 2017-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13834 Diagnostic model for identification of myocardial infarction from electrocardiography signals DİKER, Aykut; CÖMERT, Zafer; AVCI, Engin Electrocardiography (ECG) is a useful test used commonly to observe the electrical activity of a heart. Recently, a growing relationship has been observed between diagnosis of any heart disease and using of machine learning techniques. In this scope, a diagnostic application model designed based on a combination of Recursive Feature Eliminator (RFE) and two different machine learning algorithms called 𝑘-nearest neighbors (𝑘-NN) and artificial neural network (ANN) is proposed for classification of ECG signals in this study. The experiments performed on an open-access ECG database. Firstly, the signals were passed a pre-processing step. Then, several diagnostic features from morphological and statistical domains were extracted from ECG signals. In the last stage of the analysis, RFE algorithm covering 10- fold cross-validation and the mentioned machine learning techniques were employed to separate Myocardial Infarction (MI) samples from normal. The promising results as accuracy of 80.60%, sensitivity of 86.58% and specificity of 64.71% were achieved. The validation of the contribution was checked by comparing the performances of both 𝑘-NN and ANN to related works. Consequently, the proposed diagnostic model ensured an automatic and robust ECG signal classification model. Sun, 01 Jan 2017 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13834 2017-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13830 Application of wireless power system automation for electrical distribution system of Van, Turkey Rüstemli, Sabir; Özer, Abdulkadir; Almalı, Mehmet Nuri; Akdağ, Mustafa Reliable real-time information has become an important factor for safe delivery of power to the endusers and productivity of the electric utility and customer pleasure. Communication networks constitute the core of electrical system control applications in industry. The commercial and operational demands of electric utilities need a high-performance data communication network that improves the electrical system performance and provides possibility of a detailed study to predict failures. Supervisory Control and Data Acquisition (SCADA) systems are commonly used in industry for automation, control and data acquisition. Operators working in various units in an electric power company require access to SCADA data. Therefore, a design of cost-effective and reliable network architecture is a very important issue. Each network component has a unique address and the maximum quantity of components is restricted for the communication channel and protocol. In this paper, a power control application is studied by using wireless technology, and a SCADA system along with the MODBUS protocol which is most common communication protocol used in industrial automation systems. The application is carried out in a power distribution center found at the electrical distribution system located in Van, Turkey. Sun, 01 Jan 2017 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13830 2017-01-01T00:00:00Z