Kronik obstrüktif akciğer hastalığı teşhisi için makine öğrenmesi temelli yeni bir yöntem geliştirilmesi

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Anahtar Kelimeler: Biyomedikal Sinyal İşleme, Kronik Obstrüktif Akciğer Hastalığı, Spirometre, Fotopletismografi, k – En Yakın Komşuluk Sınıflandırma Algoritması, Olasılıksal Yapay Sinir Ağları, Destek Vektör Makine Kronik Obstrüktif Akciğer Hastalığı (KOAH) sigara, toz ve duman gibi etkenlerden dolayı akciğerlere giden hava miktarının azalması ile birlikte meydana gelen solunumsal hastalıktır. Bu hastalığın teşhisi spirometre ve polisomnografi (PSG) cihazı ile yapılabilmektedir fakat sistemin yeterince gelişmemesinden dolayı, bireylere bazı zorlular yaşatabilmektedir. Bu zorlukları ortadan kaldırmak için PSG cihazı kadar yararlı olabilecek alternatif sistemlere ihtiyaç duyulmaktadır. Bu çalışmada, bireye daha az sıkıntı oluşturan ve PSG cihazı kadar verimli bir şekilde çalışabilen bir sistem geliştirilmiştir. Bu durumdan dolayı fotopletismografi sinyali kullanılarak zaman ekseninde 26 adet özellik çıkartılmıştır. Makine öğrenmesi modelleri olan k – En Yakın Komşu Algoritması, Olasılıksal Yapar Sinir Ağları ve Destek Vektör Makine olmak üzere toplamda 3 adet sınıflandırma algoritması kullanılmıştır. Bu tez çalışmasında ayrıca 8 KOAH'lı hasta ve 6 kişilik sağlıklı bireye ait veriler kullanılmıştır. Sınıflandırma algoritma performanslarının değerlendirebilmek için doğrululuk oranı, özgüllük, duyarlılık ve F-ölçümü gibi parametreler kullanılmıştır. Her 3 makine öğrenmesi modelinde de elde edilen sonuçlar en az doğruluk oranı %80 olup bazı algoritmalara göre tüm verilerin doğruluk oranı %100 doğru sınıflandırılmış, duyarlılık 1, özgüllük 1 ve F-ölçümü 1 olarak tespit edilmiştir. Tez çalışmasında elde edilen sonuçlar değerlendirildiğinde makine öğrenmesi temelli KOAH teşhisi verimli bir şekilde yapılabileceği gösterilmiştir.Keywords: Biomedical Signal Processing, Chronic Obstructive Pulmonary Disease, Spirometry, Photopletismography, k – Nearest Neighbor Classification Algorithm, Probabilistic Neural Network, Support Vector Machines Chronic Obstructive Pulmonary Disease is a respiratory disease that it is caused by decreased in the amount of air to the lungs due to factors such as smoking, dust and smoke. Diagnosis of this disease can be made by spirometry and polysomnography (PSG) device but it may cause some difficulties to persons because owing to deficiency of system. It needs alternative systems that can be as beneficial as the PSG device to eliminate these challanges. In the study, a system that less distressing and works as efficiently as the PSG device has been developed. Because of this situation, 26 features were extracted from pletismography signal in the time domain. It was used 3 classification algorithms which are k – Nearest Neighbor Classification, Probabilistic Neural Network and Support Vector Machines that are machine learning models. In this thesis, 8 patients with COPD and 6 healthy subjects were used. Accuracy ratio, sensitivity, specifity and f-measurement are used to evaluate the classification algoritms performance. The result is obtained in all 3 machine learning models were at least %80 and according to some algorithms all datas were classified as %100 and all parametres sensitivity, specificity and f-measurement were determined as 1. Evaluating the results obtained in the study, it has been prove

Surface lithic scatters as an archaeological resource in South and Central Scotland

This work starts with a brief history of interpretation, bringing the reader up to date with how lithic studies have been conducted over the past three centuries. The disparate knowledge concerning scatters in Scotland led to the creation of the Scottish Lithic Scatters Project, which is outlined in chapter one. Of specific concern is the Lithic Scatters Database, and its analysis. Descriptions of each field give an intriguing insight into the extent of bias which is incorporated into the final data. It is also made clear that much information concerning the lithic scatters resource which can be related to a social landscape is gained through the creation of the database, rather than any final analysis of the data. Chapter two turns to the processes whereby lithic scatters are created in south and central Scotland, as it is through a study of these that an understanding of the information contained within the database can be gained. The creation of the lithic scatters resource is intimately bound to the practices and routines of individuals, as well as to the natural occurrences across the country today. These range from the farmer ploughing his field, to the movement of sand dunes in storms. Ultimately, it is the fieldwalker him/herself who creates the recorded scatter. The fieldwalkers who have created the scatter resource, are described in chapter three, and the extent of the resource across south and central Scotland is given. The people mentioned in the previous chapter are described more intimately, and it is possible to gain a glimpse of the faces responsible for the scatter resource. The discussion also centres on the fact that the information within the database is not necessarily representative of prehistoric activity; rather the activity of collection and recording in recent history. By looking at the database alone, and ignoring the background information given in this chapter, only an apparently polished set of data would be seen. The way data is often accepted in archaeology today can be seen as a major problem. Chapter four considers this problem in more detail and shows that personal experience must be documented to place the data within a social, historical and cultural context. Recent thinking in theoretical archaeology has led to similar strands of thought, especially where the recording of the process of fieldwork is considered

Enabling the Development and Implementation of Digital Twins : Proceedings of the 20th International Conference on Construction Applications of Virtual Reality

Welcome to the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). This year we are meeting on-line due to the current Coronavirus pandemic. The overarching theme for CONVR2020 is "Enabling the development and implementation of Digital Twins". CONVR is one of the world-leading conferences in the areas of virtual reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. This year, with all the difficulties of replicating a real face to face meetings, we are carefully planning the conference to ensure that all participants have a perfect experience. We have a group of leading keynote speakers from industry and academia who are covering up to date hot topics and are enthusiastic and keen to share their knowledge with you. CONVR participants are very loyal to the conference and have attended most of the editions over the last eighteen editions. This year we are welcoming numerous first timers and we aim to help them make the most of the conference by introducing them to other participants

Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios

XXIII Congreso Argentino de Ciencias de la Computación - CACIC 2017 : Libro de actas

Trabajos presentados en el XXIII Congreso Argentino de Ciencias de la Computación (CACIC), celebrado en la ciudad de La Plata los días 9 al 13 de octubre de 2017, organizado por la Red de Universidades con Carreras en Informática (RedUNCI) y la Facultad de Informática de la Universidad Nacional de La Plata (UNLP).Red de Universidades con Carreras en Informática (RedUNCI

ECOS 2012

The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology