Yayın tarihi için Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 75, listelenen: 1-20
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Bilgisayar destekli asenkron motor tasarımı
(2005)Bilgisayar destekli elektromekanik tasarım araçları modüllerinin (BDTAM) elektrik makinalarmın davranışlarını düzgün tahmin etmedeki kullanımı, makina tasarımcılarına tasarım performanslarını iyileştirmede üstünlükler ... -
Anahtarlamalı relüktans motorlarda faz endüktansına etki eden faktörlerin incelenmesi
(2007)Bu çalışmada bir anahtarlamalı relüktans motorda, (ARM) faz endüktansının değişimine neden olan faktörler incelenmiştir. AR motorunun faz endüktansı, uyartım akımı ve hareket eden rotor pozisyonunun bir fonksiyonudur. ... -
Sizing of electrical motors for gearless and directly stimulating applications
(Kaunas Univ Technology, 2008)Electrical machines are usually designed and produced to work at high circulation. The machines that are designed to work at high circulation are used along with reductors to be operated at low speed mechanisms to acquire ... -
Design of a direct sliding gearless electrical motor for an ergonomic electrical wheelchair
(Kaunas Univ Technology, 2008)The use of the electrical wheelchairs designed for the disabled people should be easy and flexible. A brushless DC motor with a permanent magnet that can operate without gears was designed to be used in an ergonomic ... -
Performance Comparision of Internal and External Rotor Structured Wind Generators Mounted from Same Permanent Magnets on Same Geometry
(Kaunas Univ Technology, 2009)In this study, internal and external rotor radial-flux machine constructions built With surface mounted by applying the same NdFeB were compared according to torque density, vigorous material weight, outer radius, total ... -
Investigation of the Effects of Rotor Pole Geometry and Permanent Magnet to Line Start Permanent Magnet Synchronous Motor's Efficiency
(Kaunas Univ Technology, 2009)The effects of rotor pole geometry to line start permanent magnet synchronous motor's efficiency are discussed. To achieve this goal, several LSPMSMs which have eight type rotors and 550 Watts power have been simulated and ... -
A Case Study of Getting Performance Characteristics of a Salient Pole Synchronous Hydrogenerators
(Kaunas Univ Technology, 2010)L Topaloglu, C. Ocak, L Tarimer. A Case Study of Getting Performance Characteristics of a Salient Pole Synchronous Hydrogenerators // Electronics and Electrical Engineering. - Kaunas: Technologija, 2010. - No. 1(97). - P. ... -
Designing of a Permanent Magnet and Directly Driven Synchronous Generator for Low Speed Turbines
(Kaunas Univ Technology, 2011)In this study, a radial flux generator which is driven directly for low speed turbines and structured by permanent magnets has been designed and analyzed by finite elements methods. The designed generator model has got the ... -
A Case Study to Risk Assessment for Protecting Airports against Lightening
(Kaunas Univ Technology, 2012)I. Tarimer, B. Kuca, T. Kisielewicz. A Case Study to Risk Assessment for Protecting Airports against Lightening // Electronics and Electrical Engineering. - Kaunas: Technologija, 2012. - No. 1(117). - P. 49-52. An airport ... -
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
(Wiley, 2014)The selection of skilful players is a complicated process due to the problem criteria consisting of both qualitative and quantitative attributes as well as vague linguistic terms. This study seeks to develop a decision ... -
The Design and Implementation of A GSM Based User-Machine Interacted Refrigerator
(Ieee, 2015)Today, many user-machine interacted devices are tailored at the service of people. This paper presents a new low cost smart fridge in which GSM is used as the media of communication between the machine and humans. The ... -
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
(Springer, 2015)The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic ... -
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
(Springer, 2015)The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating ... -
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
(Univ Catolica de Valparaiso, 2015)Background: Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the ... -
Karmaşik Değerlikli Sinir Ağlari Için Bir Yazilim Araci: CV-ANN
(Institute of Electrical and Electronics Engineers Inc., 2015)Complex valued artificial neural networks (CVANN); is a kind of artificial neural network of which parameters such as weight, threshold, input and output consisting of complex numbers. In recent years, CVANN has increasing ... -
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms
(Elsevier, 2016)Sleep staging is a significant step in the diagnosis and treatment of sleep disorders. Sleep scoring is a time-consuming and difficult process. Given that sleep scoring requires expert knowledge, it is generally undertaken ... -
A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform
(Elsevier Ireland Ltd, 2016)Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and ... -
A novel diagnosis system for Parkinson's disease using complex-valued artificial neural network with k-means clustering feature weighting method
(Springer, 2017)Parkinson's disease (PD) is a degenerative, central nervous system disorder. The diagnosis of PD is difficult, as there is no standard diagnostic test and a particular system that gives accurate results. Therefore, automated ... -
IEEE 802.15.4 / ZigBee Based Wireless Sensor Network Design for Monitoring Server Rooms
(Ieee, 2017)it is expected that server rooms equipped with expensive and complex devices must be reliable and stable. However, excessive environmental factors such as temperature and humidity can cause very serious effects on the ... -
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
(Ieee, 2017)The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 ...
