Veri toplama sistemi geliştirilmesi ve uygulamaları

Bu tezin, veri tabanı üzerinden yayınlanma izni bulunmamaktadır.ÖZET Anahtar Kelimeler: Veri toplama, mikroişlemciler, mikrokontrolörler, ADC, analog dijital dönüştürücü, seri port, haberleşme protokolleri, RS-232, 8-N-l Bilgi çağı denen çağımızda büyüklükleri ölçmek ve elde etmek kadar elde edilen bu değerleri kaydedebilmek de önemlidir. Bu kayıtlar ilgili konularda çalışan kişilere sağlıklı inceleme ve analizler yapabilme imkanı sağlar. Ölçülen büyüklükler belli aralıklarla kaydedilirse daha sonra bunları analiz etme imkanı veya istatistik oluşturma imkanı veya sebep sonuç ilişkileri kurabilme imkanı sağlanabilir. Bu veri kaydetme işini bir bilgisayara yaptırmak en doğru, kolay ve ucuz yöntemdir. Bu tez çalışmasında bu amaçla çalışan bir veri toplama sistemi tasarlanmıştır. Çalışma donanım ve yazılım olarak iki ana bölümden oluşmuştur. Donanım bölümünü ADC ve mikroişlemci kartı oluşturur. Dış dünyadan gelen analog sinyal ADC vasıtasıyla digital sinyale dönüştürülür. Daha sonra bu dijital bilgi mikroişlemci kartı vasıtasıyla 8-N-l formatında RS-232 portuna gönderilir. Donanım kısmının görevini kısaca bu şekilde açıklamak mümkündür. Yazılım bölümü de yine kendi içinde iki parçadan oluşur. Bunlardan birinci ve önemli olanı bilgisayarda çalışan programdır. Bu programın görevi mikroişlemci kartı tarafindan bilgisayarın seri portuna gönderilen bilgiyi kendisinden istenilen örnekleme şıklığıyla okuyarak açtığı dosyalara kaydetmektir. Bu işlemi yaparken kullanıcı tarafindan girilecek bir kalibrasyon çarpanı da kullanma şansı vardır. Bu program aynı zamanda okuduğu değerlerin grafiklerini de çizer. Yazılım bölümünün diğer bir parçası ise mikroişlemci kartı üzerinde çalışan küçük programcıktır.bu programın görevi ise ADC den gelen dijital bilgiyi bilgisayarın seri portuna göndermektir. Bu özelliklere sahip donanım ve yazılım bileşenleri oluşturulmuş, enerji kalitesi analizi ve yerin magnetik alan değişimleri incelenmesi isimli iki uygulama ile test edilmiş, sistemin başardı bir şekilde çalıştığı görülmüş ve sonuçlan son bölümde verilmiştir.DEVELOPMENT OF A DATA ACQUISITION SYSTEM AND ITS APPLICATIONS Key Words: Data Acquisition, microprocessor, microcontroller, ADC, serial port, communication protokols, RS-232, 8-N-l We are living in an age where information is the power. In this age it is important to be able to record information as well as gathering and measuring it. The recorded data or information give us the ability of research and analyze. If we could record the measured data periodically, we could analyze them or get statistics out of the measured data or we could establish relations between reason and result. The best, the easiest and the cheapest way of recording data periodically, is to use computers. This research was done to design a data acquisition system that would record the measured data periodically on a computer. The research was consisted of two main parts: Software and Hardware. The hardware part was built using an ADC and a microprocessor unit. ADC convert analog signals into digital signals. This digital information is sent to port RS-232 in 8-N-l format through a microprocessor unit. The second part of my research is software. This part consists of two programs. One and most important of this is the application file that runs in the computer. This application records the data that is sent to computer's serial port in user defined sample rate format. With this program, a user enter calibration coefficient and graph the data that was read by the microprocessor. Second program is a little program that runs on the microprocessor. This code forwards the digital information from ADC to computer's serial port. In this thesis, I designed a circuit that consists of the qualities I listed above and I wrote a computer code that guides this hardware. As a result, this system was used to examine the quality analysis of energy and the changes on the magnetic space of earth. In conclusion, the system worked properly. The results are given in the last part of this thesis. x

A novel feature ranking algorithm for biometric recognition with PPG signals

PMID = 2470546

Glossokinetic potential based tongue-machine interface for 1-D extraction using neural networks

This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be a collaboration channel for traditional electroencephalography (EEG)-based brain computer interfaces which have significant inadequacies arisen from the EEG signals. (C) 2018 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. Published by Elsevier B.V. All rights reserved

Glossokinetic potential based tongue-machine interface for 1-D extraction

The tongue is an aesthetically useful organ located in the oral cavity. It can move in complex ways with very little fatigue. Many studies on assistive technologies operated by tongue are called tongue-human computer interface or tongue-machine interface (TMI) for paralyzed individuals. However, many of them are obtrusive systems consisting of hardware such as sensors and magnetic tracer placed in the mouth and on the tongue. Hence these approaches could be annoying, aesthetically unappealing and unhygienic. In this study, we aimed to develop a natural and reliable tongue-machine interface using solely glossokinetic potentials via investigation of the success of machine learning algorithms for 1-D tongue-based control or communication on assistive technologies. Glossokinetic potential responses are generated by touching the buccal walls with the tip of the tongue. In this study, eight male and two female naive healthy subjects, aged 22-34 years, participated. Linear discriminant analysis, support vector machine, and the k-nearest neighbor were used as machine learning algorithms. Then the greatest success rate was achieved an accuracy of 99% for the best participant in support vector machine. This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be alternative control and communication channel for traditional electroencephalography (EEG)-based brain-computer interfaces which have significant inadequacies arisen from the EEG signals

Microtremor measurements in the northern coast of İzmir Bay, Turkey to evaluate site-specific characteristics and fundamental periods by H/V spectral ratio method

Seventy-two microtremor measurements were conducted in the northern coast of Izmir Bay. The dataset has been processed using the horizontal-to-vertical spectral ratio. The fundamental period contour map obtained showed that the fundamental period at rock sites of the northern coast of Izmir Bay was between 0.15 and 0.35 s. However, the fundamental period increased towards the western direction where thick soft sediments exist, the fundamental period varied between 0.5 and 2.0 s. A soil classification map of the area was prepared based on the data estimated from SPT-N values of 25 boreholes. It is seen that major portion of the study area, including the shore line of the northern coast had SPT-N values lower than 15. The fundamental periods obtained by H/V spectral ratio method and the periods derived from shear wave velocity data available in 11 of 25 boreholes were well-correlated. Fundamental period map obtained from H/V spectral ratio method illustrated the characteristics of weak soil conditions and the presence of bedrock level under thick alluvial soils. Finally, microtremor investigations have proved to be an effective tool for assessment of local soil conditions in case of thick soft sediments in the northern coast of Izmir Bay