Filtreler
Filtreler
Bulunan: 20 Adet 0.001 sn
Tam Metin [1]
Tür [2]
Yayın Tarihi [1]
Dergi Sayısı [3]
Yayın Dili [2]
Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models

İsmail AKDAĞ

Makale | 2021 | Journal of Artificial Intelligence and Data Science

Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-square error value of 0.25% with an R2 valu . . .e of 95.54% was obtained with the Random Forest regression model, and a mean-square error value of 0.85% has been obtained with an R2 value of 91.32% in the multiple-output regression technique Daha fazlası Daha az

COVID-19 Pandemisinde Transfüzyona Bağımlı Talasemili Çocukların Kan Transfüzyon Süreci ve Hemşirelik Yönetimi

İsmail AKDAĞ

Makale | 2021 | İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi6 ( 2 ) , pp.127 - 130

Amaç: COVID-19 salgını 2019’un sonlarında Çin’in Wuhan kentinde başlamış olup küresel olarak yayılmaya devam etmektedir. COVID-19’un ortaya çıkmasından bu yana kan bağışı sayısı ciddi oranda hem ülkemizde hem de dünya genelinde azalmıştır. Düzenli kan transfüzyonu tedavisi gerektirenler için de kan bağışlarının azalması ciddi bir endişe kaynağı oluşturmaktadır. Bazı ülkelerde transfüzyona bağımlı talasemili çocukların neredeyse yarısına yetersiz kan transfüzyonu uygulandığı belirtilmektedir. Ülkemizdeki sokağa çıkma yasakları, şehirlerarası ulaşım engelleri nedeni ile çocuklar ve ebeveynleri kan transfüzyonu için rutin bakım aldıkla . . .rı kliniklere gitmekte zorluk yaşamaktadır. Ayrıca bu kısıtlamalar, gönüllü kan bağışlarının sayısını büyük ölçüde azaltarak, kan bankalarının stoklarında ciddi oranda azalmaya neden olmuştur. Talasemili çocukların kan transfüzyonu sürecinde; sosyal mesafe kurallarına dikkat edilmiş, maske takılması sağlanmış, hasta randevuları sınırlandırılmış, refakatçi sınırlaması yapılmıştır. Hemşireler, hastalarda tek kullanımlık malzemeler kullanmış ve hemşireler koruyucu ekipman kullanmıştır. COVID-19’un ortaya çıkmasıyla transfüzyona bağımlı talasemili çocuklar, kan rezervlerinin azalmasına bağlı olarak tedavi ve bakım sürecinde güçlük yaşayabilmektedir. Buna bağlı olarak gelecekte, COVID-19 pandemisi gibi bir kriz sırasında halk sağlığı hazırlık stratejisinde, özellikle talasemiye yatkın ülkelerde transfüzyon bağımlı hastalar konusuna öncelik verilmelidir Daha fazlası Daha az

Fabric Defect Classification Using Combination of Deep Learning and Machine Learning

Fatma Günseli YAŞAR ÇIKLAÇANDIR

Makale | 2021 | Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp.22 - 27

Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control. They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation. In this study, it is aimed to develop an intelligent system that automatically detects and classifies defects in fabrics. Thanks to the developed system, the cause of the malfunction is eliminated, and the recurrence of the malfunction is prevented. Using deep learning methods in fabric defect classification studies has a disadvantage compared to other methods. Multiple layers in deep le . . .arning cause a time-consuming process. Therefore, a combination of Deep Learning and Support Vector Machines (SVM) has been used in this study. The success of the provided system has been compared with other deep learning algorithms in terms of time and accuracy Daha fazlası Daha az

A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process

ŞEYDA İŞBİLİR

Makale | 2021 | Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp.96 - 105

Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization model was created to examine the effects . . . of the constraint conditions on energy consumption. The cutting power, the surface roughness of the part, and tool life were handled as objective functions(constraint conditions). First of all, the multiple non-linear regression modeling was created using design variables in end milling . These design variables were determined as spindle rotational speed, feed rate power, radial cut depth, axial cut depth, and cutting speed. Then, objective functions were brought to the proper minimum optimal levels due to this optimization modeling. As a result of the optimization model built with design variables, accurate modeling was achieved in this work by studying several optimization models utilized to optimize the minimum objective functions, which play a significant role in reducing energy consumption in end milling. After the optimization, the maximum value was found as 110.791. At the end of the study, some options of direct search method to maximize and minimize results were applied Daha fazlası Daha az

Diyabetes Mellitus’lu Periferik Nöropatili Hastalarda Postüral Denge ve Koordinasyon Problemlerinin Tele-Değerlendirme Sonuçları: İki Olgu Sunumu

LEVENT AYDIN

Makale | 2021 | İzmir Kâtip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi6 ( 2 ) , pp.169 - 173

Diabetes mellitus’un yaygın komplikasyonlarından biri de diyabetik nöropatidir. Diyabetik nöropati, artmış morbidite ve maluliyetin en sık nedenlerinden biridir ve belirli sıklıklarla klinik değerlendirmeler gerektirir. Tele-değerlendirme hastanın servise gelmeden hem zaman tasarrufu yapmasını hem de kendini evinde olduğu için daha güvende hissetmesini sağlar. Çalışmanın amacı diabetes mellitus’lu periferik nöropatili hastalarda postüral denge ve koordinasyon problemlerinin tele-değerlendirme ve klinikte yüz yüze yöntemlerle elde edilen değerlendirme bulgularını karşılaştırmaktır. Çalışmamıza 2 olgu dahil edilmiştir. Dahil edilen ol . . .gulara Romberg, süreli kalk-yürü testi, 5 Defa oturup kalkma testi, koordinasyon testlerinden basamak testi, topuk-parmak ucu yürüme testi, ayakla tempo tutma testi ve topuk tibia testleri uygulanmıştır. Süreli kalk ve yürü testi süresinin ilk olgu için oldukça benzer olduğu, ikinci olgumuzda ise tele ve yüz yüze değerlendirme arasında belirgin farklılık olduğu görülmektedir. yüz yüze yöntem ile değerlendirmede sürenin uzadığı görülmüştür. Koordinasyon testlerinden topuk parmak ucu yürüme testi hariç diğer testlerde tutarlılık olduğu görülmüştür. Bu vaka raporu ile periferik nöropatili hastalarda gelişen postüral denge ve koordinasyon problemlerinin tele-değerlendirme yöntemi ile etkin bir şekilde gerçekleştirilebileceği görülmüştür. One of the common complications of diabetes mellitus is diabetic neuropathy. It is one of the most common causes of increased morbidity and disability and requires clinical evaluations at certain frequency. With tele-assesment, the patient both saves time and feels safer because patient is at home before coming to the service. The aim of the study is to compare the results of postural balance and coordination problems in patients with peripheral neuropathy with diabetes mellitus, obtained by tele-assesment and clinical face-to-face methods. 2 cases were included in our study. Romberg, timed get up and go test, 5 times sit to stand test, and from coordination tests; step test, heel toe walking test, foot tempo holding test, heel-tibia test were applied to the patients. It was seen that the duration of the timed get up and go test is quite similar for the first case, and there was a significant difference between the tele-assesment and face-to face assesment in our second case. It was observed that the assesment time increased in face-to-face method. Coordination tests were consistent with the exception of the heel toe walking test. With this case report, it was observed that postural balance and coordination problems that emerging in patients with peripheral neuropathy can be effectively realized with the tele-assessment method Daha fazlası Daha az

Electron Beam Welding (EBW) of Aerospace Alloy (Inconel 825): Optimization and Modeling of Weld Bead Area

LEVENT AYDIN

Makale | 2021 | Journal of Artificial Intelligence and Data Science

This study investigates the optimum weld area on a popular aerospace alloy (i.e., Inconel 825) made by the electron beam welding technique. Welding speed (S), beam current (I), accelerating voltage (V), and beam oscillation (O) are considered as process parameters to study the weld bead area (WA) of the weldments. An instructive study on multiple non-linear neural regression analyses has been done as a basic introduction to neuro regression modeling with artificial neural network (ANN) philosophy. To do this, the experimental prediction has been modeled with 14 predictive functional structures using fundamental regression modal type . . .s to test the accuracy of their predictions. To train the program with the chosen model R^2_training, test it R^2_testing, verify the accuracy R^2_validation is used, and check whether the values are within the engineering limits. Optimization algorithms with three different scenarios have been applied. Only one of the 14 models gave realistic results. It has been seen that the scenario types, selection of different constraints, and different models for design variables affect the optimization results Daha fazlası Daha az

5 th International Students Science Congress Proceedings Book

LEVENT AYDIN

Kitap | 2021 | İzmir Katip Çelebi Üniversitesi

Çevrimiçi (IX, 431 Sayfa; 26 cm.).

1st International Congress on Artificial Intelligence and Data Science (İzmir : 2021)

İzmir Kâtip Çelebi Üniversitesi

Kitap | 2021 | İzmir Kâtip Çelebi Üniversitesi

Çevrimiçi (362 sayfa : şekil, tablo ; 26 cm.).

A Flower Status Tracker and Self Irrigation System (FloTIS)

Rumeysa KESKİN | Furkan GÜNEY | M. Erdal ÖZBEK

Makale | 2021 | Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp.45 - 50

The Internet of Things (IoT) provides solutions to many daily life problems. Smartphones with user-friendly applications make use of artificial intelligence solutions offered by deep learning techniques. In this work, we provide a sustainable solution to automatically monitor and control the irrigation process for detected flowers by combining deep learning and IoT techniques. The proposed flower status tracker and self-irrigation system (FloTIS) is implemented using a cloud-based server and an Android-based application to control the status of the flower which is being monitored by the local sensor devices. The system detects chang . . .es in the moisture of the soil and provides necessary irrigation for the flower. In order to optimize the water consumption, different classification algorithms are tested. The performance comparisons of similar works for example flower case denoted higher accuracy scores. Then the best generated deep learning model is deployed into the smartphone application that detects the flower type in order to determine the amount of water required for the daily irrigation for each type of flower. In this way, the system monitors water content in the soil and performs smart utilization of water while acknowledging the user Daha fazlası Daha az

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms