Ali Akdagli - Academia.edu (original) (raw)

Papers by Ali Akdagli

European Journal of Science and Technology

An artificial neural network model trained by using various learning algorithms is designed to cl... more An artificial neural network model trained by using various learning algorithms is designed to classify the electrocardiographic signals in this study. The model of artificial neural network is constructed on the structure consisting of a multilayered perceptron based on the feed forward back propagation. A data pool is built by using a dataset consists of 66 electrocardiographic data’s taken from the MIT BIH arrhythmia database to perform the training and testing processes of artificial neural network model. The training process of artificial neural network model is performed with 46 electrocardiographic data and then the accuracy of the model is tested via 20 electrocardiographic data. The artificial neural network is trained by 3 different learning algorithms to achieve a robust model. The performance of the learning algorithms used for training the model of the artificial neural network is evaluated according to percentage error. It illustrates that the artificial neural network...

Bookmarks Related papers MentionsView impact

Expert Systems with Applications, 2022

Bookmarks Related papers MentionsView impact

International Advanced Researches and Engineering Journal, 2021

Bookmarks Related papers MentionsView impact

Expert Systems with Applications, 2021

Abstract Instagram is a free photo-sharing platform where each user has a profile and can upload ... more Abstract Instagram is a free photo-sharing platform where each user has a profile and can upload photos for followers to view, like, and comment. Abusive comments on images can be humiliating and harmful to those who share photos. Developing a comment filter in languages other than English is difficult and time-consuming. This paper proposes a dataset called Abusive Turkish Comments (ATC) to detect abusive Instagram comments in Turkish. It is composed of a large number of Instagram comments posted to tabloid and sports accounts (i.e., 10,528 abusive and 19,826 not-abusive). It is the first public dataset dedicated to detecting abusive Turkish messages, as far as we know. The sentiment annotation has been done in sentence-level by assigning polarity to each comment. The performance of the abusive message detection models was evaluated using several performance metrics: Convolutional Neural Network (CNN), five well-known classifiers (i.e., Naive Bayes, Support Vector Machine, Decision Tree, Random Forest, and Logistic Regression), and two reweighted classifiers (i.e., Adaptive Boosting (AdaBoost), eXtreme Gradient Boosting (XGBoost)) were compared in terms of F1-score, precision, and recall. The results showed that the best performance (i.e., Micro-averaged F1-score: 0.974, Macro-averaged F1-score: 0.973, Kappa-value: 0.946) was yielded by the CNN model on the oversampled ATC dataset. The abusive message detection model proposed in this study can contribute to the development of Turkish comment filters on Instagram. Different model combinations are considered to select the best model that gives better recognition accuracy.

Bookmarks Related papers MentionsView impact

Microsystem Technologies, 2017

Bookmarks Related papers MentionsView impact

Recent Advances in Inflammation & Allergy Drug Discovery, 2022

Bookmarks Related papers MentionsView impact

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Heuristic algorithms which are artificial bee colony (ABC), differential evolution algorithm (DEA... more Heuristic algorithms which are artificial bee colony (ABC), differential evolution algorithm (DEA) and particle swarm optimization (PSO) algorithms are powerful evolutionary computation techniques for electronic circuit design. In this work, usage of ABC, FGA and PSO algorithms in the design of tenth orders Butterworth, and 1-dB Chebyshev low-pass filters are investigated and the obtained comparative results are presented. PSO algorithm obtained the effective and efficient design parameter results for Butterworth and 1-dB Chebyshev low-pass filters.

Bookmarks Related papers MentionsView impact

Information Technology and Control

First seen in Wuhan, China, the coronavirus disease (COVID-19) became a worldwide epidemic. Turke... more First seen in Wuhan, China, the coronavirus disease (COVID-19) became a worldwide epidemic. Turkey’s first reported case was announced on March 11, 2020—the day the World Health Organization declared COVID-19 is a pandemic. Due to the intense and widespread use of social media during the pandemic, determining the role and effect (i.e., positive, negative, neutral) of social media gives us important information about society's perspective on events. In our study, two datasets (i.e. Dataset1, Dataset2) consisting of Instagram comments on COVID-19 were composed between different dates of the pandemic, and the change between users' feelings and thoughts about the epidemic was analyzed. The datasets are the first publicly available Turkish datasets on the sentiment analysis of COVID-19, as far as we know. The sentiment analysis of Turkish Instagram comments was performed using Machine Learning models (i.e., Traditional Machine Learning, Deep Learning, and BERT-based Transfer Lear...

Bookmarks Related papers MentionsView impact

Information Technology and Control

Homophobic expressions are a form of insulting the sexual orientation or personality of people. S... more Homophobic expressions are a form of insulting the sexual orientation or personality of people. Severe psychological traumas may occur in people who are exposed to this type of communication. It is important to develop automatic classification systems based on language models to examine social media content and distinguish homophobic discourse. This study aims to present a pre-trained Multilingual Bidirectional Encoder Representations from Transformers (M-BERT) model that can successfully detect whether Turkish comments on social media contain homophobic or related hate comments (i.e., sexist, severe humiliation, and defecation expressions). Comments in the Homophobic-Abusive Turkish Comments (HATC) dataset were collected from Instagram to train the detection models. The HATC dataset was manually labeled at the sentence level and combined with the Abusive Turkish Comments (ATC) dataset that has developed in our previous study. The HATC dataset has been balanced using the resampling ...

Bookmarks Related papers MentionsView impact

Bu çalışmada Mersin Üniversitesi Teknik Bilimler Meslek Yüksekokulu bünyesinde yer alan Elektroni... more Bu çalışmada Mersin Üniversitesi Teknik Bilimler Meslek Yüksekokulu bünyesinde yer alan Elektronik ve Otomasyon Bölümü içerisindeki Elektronik Teknolojisi, Endüstriyel Otomasyon Laboratuvarları bünyesinde bulunan elektrikle çalışan cihazların çalıştıktan sonra etrafa yaydıkları elektromanyetik alan değerlerinin ölçümü yapılmıştır. Cihazlardan yayılan elektromanyetik alanın elektrik alan bileşenlerinin tepe ve ortalama değerleri cihazın çalışır durumu için ölçülmüştür. Yapılan ölçümler Narda şirketinin NBM-50 kodlu elektromanyetik alan şiddeti ölçüm aleti EF-0691 ve ultra geniş bantlı tüm yönlü anten kullanılarak gerçekleştirilmiştir. Çalışma kapsamında elde edilen ölçüm sonuçları tablolar halinde verilmiş ve sonuçlar karşılaştırılarak tartışılmıştır.

Bookmarks Related papers MentionsView impact

Teknolojinin gelişmesiyle birlikte kablosuz iletişimin de artan bir ivme ile gelişmesi, bilgisaya... more Teknolojinin gelişmesiyle birlikte kablosuz iletişimin de artan bir ivme ile gelişmesi, bilgisayarların ve mobil iletişim cihazlarının günlük hayatımızın bir parçası haline gelmesini sağlayarak, insan hayatını, ticari ve sosyal alanlarda büyük ölçüde kolaylaştırmıştır. Baz istasyonları ise mobil iletişimin en önemli ve vazgeçilmez parçasını oluşturmaktadır. Mobil iletişimin yaygınlaşması ve günlük hayattaki ihtiyaçların artması, işletmecilerin kullanıcılara daha yüksek iletişim kapasitesi, daha geniş kapsama alanı ve yeni teknolojilere uyum sağlama konusunda yenilikler sunmasını gerekli kılmaktadır. Bu da günümüz teknolojisine göre daha fazla baz istasyonu kurulması ihtiyacını ortaya çıkarmaktadır. Kablosuz iletişimi sağlamak için baz istasyonları tarafından yayılan elektromanyetik dalgalar, baz istasyonlarının kurulu olduğu bölgelerde yaşayanlarda tedirginlikler oluşturmakta ve basında yer alan olumsuz haberler ise bu tedirginlikleri daha da artırmaktadır. Bu çalışmada baz istasyonlarının insanlar üzerindeki sağlık, sosyal ve psikolojik etkileri, Mersin bölgesinde baz istasyonu civarlarında ikamet eden farklı yaş, eğitim, meslek ve ekonomik gelir gruplarından seçilen 596 kişiye uygulanan anket çalışması sonuçları istatistiksel olarak değerlendirilmiştir.

Bookmarks Related papers MentionsView impact

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 2017

Nowadays, the attraction of the optimization techniques based on artificial intelligence has incr... more Nowadays, the attraction of the optimization techniques based on artificial intelligence has increased the due to obtaining the its successful results on the difficult optimization problems in various areas. The artificial bee colony (ABC) algorithm based on swarm intelligence and the differential evolution (DE) algorithm improved by inspiring the natural biological evolution mechanism is the most popular of the artificial intelligence optimization methods. The exploration ability of these optimization techniques is generally very good. However, there is a disadvantage of these algorithms for the difficult optimization problem. The exploitation capability of the algorithms is usually not sufficient. In this study, the investigation results of the performance for an improved hybrid optimization method (HOM) to overcome their disadvantages occurred in optimization process of the difficult problems by combining ABC with DE algorithms are presented. While the improved algorithm keeps the exploration ability by retaining their standard updating strategy in the employed bees step, it enhances the exploitation skill by using powerful mutation and crossover strategies of the DE algorithm into onlooker bees step. The HOM having very high convergence speed and performance is a novel and robust optimization method based on meta-heuristic approach. In order to appraise the performance of the HOM in the testing step, a sequence of the classical benchmark function has been utilized and the performance results of the proposed method are compared with the performance of the standard DE, ABC algorithms. The reached numerical results in this study illustrated that the search performance of the presented HOM is better than the standard ABC, DE algorithms.

Bookmarks Related papers MentionsView impact

In this study, three robust predicting methods, namely artificial neural network (ANN), adaptive ... more In this study, three robust predicting methods, namely artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS) and support vector machine (SVM) were used for computing the resonant frequency of A-shaped compact microstrip antennas (ACMAs) operating at UHF band. Firstly, the resonant frequencies of 144 ACMAs with various dimensions and electrical parameters were simulated with the help of IE3D™ based on method of moment (MoM). The ANN, ANFIS and SVM models for computing the resonant frequency were then built by considering the simulation data. 124 simulated ACMAs were utilized for training and the remaining 20 ACMAs were used for testing the ANN, ANFIS and SVM models. The performance of the ANN, ANFIS and SVM models are compared in the training and test process. The average percentage errors (APE) regarding the computed resonant frequencies for training of the ANN, ANFIS and SVM were obtained as 0.457%, 0.399% and 0.600%, respectively. The constructed models we...

Bookmarks Related papers MentionsView impact

This paper presents a simple method for determining the dielectric constant of microwave PCB subs... more This paper presents a simple method for determining the dielectric constant of microwave PCB substrates. In the presented method, a bandpass microstrip filter on the PCB substrate with a user-predicted dielectric constant value is designed for a given center frequency, and it is implemented. The simulation results of the designed bandpass filter are obtained by the help of electromagnetic analysis software; XFDTD. Experimental results regarding the filter frequency characteristic are accomplished by means of a vector network analyzer. The simulation results of the designed filter are modified to overlap with the experimental ones by varying the dielectric constant value. When the simulation and experimental results are overlapped, the value of dielectric constant is accurately selected. In order to illustrate the validity of proposed method, the dielectric constant values of flame resistant-4 (FR4) substrates are acquired at IEEE 802.11b/g and IEEE 802.11a wireless local area networ...

Bookmarks Related papers MentionsView impact

─ Nowadays, breast cancer is the most common type of the cancer among women’s diseases. It is the... more ─ Nowadays, breast cancer is the most common type of the cancer among women’s diseases. It is the leading cause of death after cardiovascular diseases. Due to risk of uncontrolled reproduction and propagation of the cancer cells, early diagnosis has a crucial importance. Microwave imaging (MWI) is an evolving method and has a variety of advantages such as operating at lower frequencies with a lower power, cost-effectiveness, and providing comfortable measurements without contact. In this paper, an experimental study on microwave imaging of breast cancer with the use of tumor phantom is presented. For this purpose, an experimental setup containing sand, screw and tumor phantom is prepared as replacement of real tissue. Two-dimensional inverse synthetic aperture radar (ISAR) method is used in handling the scattered electric field data from the measurement setup. Inverse radon transform (IRT) method is then utilized to extract the image of the measured scattering electric field data. T...

Bookmarks Related papers MentionsView impact

A microstrip meander line with a single H-shaped Defected Ground Structure (HDGS) is employed to ... more A microstrip meander line with a single H-shaped Defected Ground Structure (HDGS) is employed to design a novel compact lowpass filter with sharp roll off and wide stop band. Two parametric studies were conducted to analyze the sensitivity of the HDGS position and the size effects on the filter response. The design is fabricated to have a 6 GHz cutoff frequency using Rogers TMM 10i substrate, with an area of 7.6 x 6 mm. The measured results are in a good agreement with simulation prediction. Index Terms – Defected ground structures, compact filter, lowpass filter and microstrip meander line.

Bookmarks Related papers MentionsView impact

Advances in microwave breast cancer detection and imaging during last decade are reported in this... more Advances in microwave breast cancer detection and imaging during last decade are reported in this review paper. An introduction to breast cancer and detection methods and detailed information about microwave imaging and selected patents are presented. The advantages and disadvantages of the presented patents and also state of breast cancer detection and imaging are discussed. Microwave imaging for breast tumor detection is considered to be promising, as it is believed that there is a significant or detectable contrast in malignant, benign and normal tissues over a broad frequency range. Also, there have been many dielectric models, especially the double Debye model has been used to define the dielectric response of different biological tissues. On the other hand, double Debye model is not accurate for human breast tissue because there are knowledge limitations about the structure, dynamics, and macroscopic behavior of breast tissue. It is vital that, according to frequency, accurate...

Bookmarks Related papers MentionsView impact

At the present time, nanomaterials are used in the medicine and biology applications such as drug... more At the present time, nanomaterials are used in the medicine and biology applications such as drug and gene delivery, bio-detection of pathogens, MRI contrast enhancement, tumor destruction via heating, and protein detection. Tissue engineering which is another of these applications is being increasingly popular. Because extracellular matrix (ECM) consists nano-sized structure; the usage of nanomaterials in tissue engineering enables to produce of tissue scaffolds that are more closely resemble the ECM form. Thus, the success rate increases in tissue engineering as it is provided a more favorable environment for the growth of cells. Electrospinning is a popular method among nanomaterial production ones. The diameter of the fiber produced by electrospinning technique depends on the various parameters like process, solution, and environmental parameters. In this study, an ANN model based on multilayer perceptron (MLP) is presented for predicting the average fiber diameter (AFD) of elec...

Bookmarks Related papers MentionsView impact

International Journal of Scientific & Technology Research, 2017

The producing of nanofiber tissue scaffolds is quite important for enhancing success in tissue en... more The producing of nanofiber tissue scaffolds is quite important for enhancing success in tissue engineering. Electrospinning method is used frequently to produce of these scaffolds. In this study, a simple and novel expression derived by using artificial bee colony (ABC) optimization algorithm is presented to calculate the average fiber diameter (AFD) of the electrospun gelatin/bioactive glass (Gt/BG) scaffold. The diameter of the fiber produced by electrospinning technique depends on the various parameters like process, solution, and environmental parameters. The experimental results previously published in the literature, which include one solution parameter (BG content) as well as two process parameters (tip to collector distance and solution flow rate) related to producing of electrospun Gt/BG nanofiber, have been used for the optimization process. At first, the AFD expression has been constructed with the use of the solution and process parameters, and then the unknown coefficie...

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact

European Journal of Science and Technology

An artificial neural network model trained by using various learning algorithms is designed to cl... more An artificial neural network model trained by using various learning algorithms is designed to classify the electrocardiographic signals in this study. The model of artificial neural network is constructed on the structure consisting of a multilayered perceptron based on the feed forward back propagation. A data pool is built by using a dataset consists of 66 electrocardiographic data’s taken from the MIT BIH arrhythmia database to perform the training and testing processes of artificial neural network model. The training process of artificial neural network model is performed with 46 electrocardiographic data and then the accuracy of the model is tested via 20 electrocardiographic data. The artificial neural network is trained by 3 different learning algorithms to achieve a robust model. The performance of the learning algorithms used for training the model of the artificial neural network is evaluated according to percentage error. It illustrates that the artificial neural network...

Bookmarks Related papers MentionsView impact

Expert Systems with Applications, 2022

Bookmarks Related papers MentionsView impact

International Advanced Researches and Engineering Journal, 2021

Bookmarks Related papers MentionsView impact

Expert Systems with Applications, 2021

Abstract Instagram is a free photo-sharing platform where each user has a profile and can upload ... more Abstract Instagram is a free photo-sharing platform where each user has a profile and can upload photos for followers to view, like, and comment. Abusive comments on images can be humiliating and harmful to those who share photos. Developing a comment filter in languages other than English is difficult and time-consuming. This paper proposes a dataset called Abusive Turkish Comments (ATC) to detect abusive Instagram comments in Turkish. It is composed of a large number of Instagram comments posted to tabloid and sports accounts (i.e., 10,528 abusive and 19,826 not-abusive). It is the first public dataset dedicated to detecting abusive Turkish messages, as far as we know. The sentiment annotation has been done in sentence-level by assigning polarity to each comment. The performance of the abusive message detection models was evaluated using several performance metrics: Convolutional Neural Network (CNN), five well-known classifiers (i.e., Naive Bayes, Support Vector Machine, Decision Tree, Random Forest, and Logistic Regression), and two reweighted classifiers (i.e., Adaptive Boosting (AdaBoost), eXtreme Gradient Boosting (XGBoost)) were compared in terms of F1-score, precision, and recall. The results showed that the best performance (i.e., Micro-averaged F1-score: 0.974, Macro-averaged F1-score: 0.973, Kappa-value: 0.946) was yielded by the CNN model on the oversampled ATC dataset. The abusive message detection model proposed in this study can contribute to the development of Turkish comment filters on Instagram. Different model combinations are considered to select the best model that gives better recognition accuracy.

Bookmarks Related papers MentionsView impact

Microsystem Technologies, 2017

Bookmarks Related papers MentionsView impact

Recent Advances in Inflammation & Allergy Drug Discovery, 2022

Bookmarks Related papers MentionsView impact

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Heuristic algorithms which are artificial bee colony (ABC), differential evolution algorithm (DEA... more Heuristic algorithms which are artificial bee colony (ABC), differential evolution algorithm (DEA) and particle swarm optimization (PSO) algorithms are powerful evolutionary computation techniques for electronic circuit design. In this work, usage of ABC, FGA and PSO algorithms in the design of tenth orders Butterworth, and 1-dB Chebyshev low-pass filters are investigated and the obtained comparative results are presented. PSO algorithm obtained the effective and efficient design parameter results for Butterworth and 1-dB Chebyshev low-pass filters.

Bookmarks Related papers MentionsView impact

Information Technology and Control

First seen in Wuhan, China, the coronavirus disease (COVID-19) became a worldwide epidemic. Turke... more First seen in Wuhan, China, the coronavirus disease (COVID-19) became a worldwide epidemic. Turkey’s first reported case was announced on March 11, 2020—the day the World Health Organization declared COVID-19 is a pandemic. Due to the intense and widespread use of social media during the pandemic, determining the role and effect (i.e., positive, negative, neutral) of social media gives us important information about society's perspective on events. In our study, two datasets (i.e. Dataset1, Dataset2) consisting of Instagram comments on COVID-19 were composed between different dates of the pandemic, and the change between users' feelings and thoughts about the epidemic was analyzed. The datasets are the first publicly available Turkish datasets on the sentiment analysis of COVID-19, as far as we know. The sentiment analysis of Turkish Instagram comments was performed using Machine Learning models (i.e., Traditional Machine Learning, Deep Learning, and BERT-based Transfer Lear...

Bookmarks Related papers MentionsView impact

Information Technology and Control

Homophobic expressions are a form of insulting the sexual orientation or personality of people. S... more Homophobic expressions are a form of insulting the sexual orientation or personality of people. Severe psychological traumas may occur in people who are exposed to this type of communication. It is important to develop automatic classification systems based on language models to examine social media content and distinguish homophobic discourse. This study aims to present a pre-trained Multilingual Bidirectional Encoder Representations from Transformers (M-BERT) model that can successfully detect whether Turkish comments on social media contain homophobic or related hate comments (i.e., sexist, severe humiliation, and defecation expressions). Comments in the Homophobic-Abusive Turkish Comments (HATC) dataset were collected from Instagram to train the detection models. The HATC dataset was manually labeled at the sentence level and combined with the Abusive Turkish Comments (ATC) dataset that has developed in our previous study. The HATC dataset has been balanced using the resampling ...

Bookmarks Related papers MentionsView impact

Bu çalışmada Mersin Üniversitesi Teknik Bilimler Meslek Yüksekokulu bünyesinde yer alan Elektroni... more Bu çalışmada Mersin Üniversitesi Teknik Bilimler Meslek Yüksekokulu bünyesinde yer alan Elektronik ve Otomasyon Bölümü içerisindeki Elektronik Teknolojisi, Endüstriyel Otomasyon Laboratuvarları bünyesinde bulunan elektrikle çalışan cihazların çalıştıktan sonra etrafa yaydıkları elektromanyetik alan değerlerinin ölçümü yapılmıştır. Cihazlardan yayılan elektromanyetik alanın elektrik alan bileşenlerinin tepe ve ortalama değerleri cihazın çalışır durumu için ölçülmüştür. Yapılan ölçümler Narda şirketinin NBM-50 kodlu elektromanyetik alan şiddeti ölçüm aleti EF-0691 ve ultra geniş bantlı tüm yönlü anten kullanılarak gerçekleştirilmiştir. Çalışma kapsamında elde edilen ölçüm sonuçları tablolar halinde verilmiş ve sonuçlar karşılaştırılarak tartışılmıştır.

Bookmarks Related papers MentionsView impact

Teknolojinin gelişmesiyle birlikte kablosuz iletişimin de artan bir ivme ile gelişmesi, bilgisaya... more Teknolojinin gelişmesiyle birlikte kablosuz iletişimin de artan bir ivme ile gelişmesi, bilgisayarların ve mobil iletişim cihazlarının günlük hayatımızın bir parçası haline gelmesini sağlayarak, insan hayatını, ticari ve sosyal alanlarda büyük ölçüde kolaylaştırmıştır. Baz istasyonları ise mobil iletişimin en önemli ve vazgeçilmez parçasını oluşturmaktadır. Mobil iletişimin yaygınlaşması ve günlük hayattaki ihtiyaçların artması, işletmecilerin kullanıcılara daha yüksek iletişim kapasitesi, daha geniş kapsama alanı ve yeni teknolojilere uyum sağlama konusunda yenilikler sunmasını gerekli kılmaktadır. Bu da günümüz teknolojisine göre daha fazla baz istasyonu kurulması ihtiyacını ortaya çıkarmaktadır. Kablosuz iletişimi sağlamak için baz istasyonları tarafından yayılan elektromanyetik dalgalar, baz istasyonlarının kurulu olduğu bölgelerde yaşayanlarda tedirginlikler oluşturmakta ve basında yer alan olumsuz haberler ise bu tedirginlikleri daha da artırmaktadır. Bu çalışmada baz istasyonlarının insanlar üzerindeki sağlık, sosyal ve psikolojik etkileri, Mersin bölgesinde baz istasyonu civarlarında ikamet eden farklı yaş, eğitim, meslek ve ekonomik gelir gruplarından seçilen 596 kişiye uygulanan anket çalışması sonuçları istatistiksel olarak değerlendirilmiştir.

Bookmarks Related papers MentionsView impact

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 2017

Nowadays, the attraction of the optimization techniques based on artificial intelligence has incr... more Nowadays, the attraction of the optimization techniques based on artificial intelligence has increased the due to obtaining the its successful results on the difficult optimization problems in various areas. The artificial bee colony (ABC) algorithm based on swarm intelligence and the differential evolution (DE) algorithm improved by inspiring the natural biological evolution mechanism is the most popular of the artificial intelligence optimization methods. The exploration ability of these optimization techniques is generally very good. However, there is a disadvantage of these algorithms for the difficult optimization problem. The exploitation capability of the algorithms is usually not sufficient. In this study, the investigation results of the performance for an improved hybrid optimization method (HOM) to overcome their disadvantages occurred in optimization process of the difficult problems by combining ABC with DE algorithms are presented. While the improved algorithm keeps the exploration ability by retaining their standard updating strategy in the employed bees step, it enhances the exploitation skill by using powerful mutation and crossover strategies of the DE algorithm into onlooker bees step. The HOM having very high convergence speed and performance is a novel and robust optimization method based on meta-heuristic approach. In order to appraise the performance of the HOM in the testing step, a sequence of the classical benchmark function has been utilized and the performance results of the proposed method are compared with the performance of the standard DE, ABC algorithms. The reached numerical results in this study illustrated that the search performance of the presented HOM is better than the standard ABC, DE algorithms.

Bookmarks Related papers MentionsView impact

In this study, three robust predicting methods, namely artificial neural network (ANN), adaptive ... more In this study, three robust predicting methods, namely artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS) and support vector machine (SVM) were used for computing the resonant frequency of A-shaped compact microstrip antennas (ACMAs) operating at UHF band. Firstly, the resonant frequencies of 144 ACMAs with various dimensions and electrical parameters were simulated with the help of IE3D™ based on method of moment (MoM). The ANN, ANFIS and SVM models for computing the resonant frequency were then built by considering the simulation data. 124 simulated ACMAs were utilized for training and the remaining 20 ACMAs were used for testing the ANN, ANFIS and SVM models. The performance of the ANN, ANFIS and SVM models are compared in the training and test process. The average percentage errors (APE) regarding the computed resonant frequencies for training of the ANN, ANFIS and SVM were obtained as 0.457%, 0.399% and 0.600%, respectively. The constructed models we...

Bookmarks Related papers MentionsView impact

This paper presents a simple method for determining the dielectric constant of microwave PCB subs... more This paper presents a simple method for determining the dielectric constant of microwave PCB substrates. In the presented method, a bandpass microstrip filter on the PCB substrate with a user-predicted dielectric constant value is designed for a given center frequency, and it is implemented. The simulation results of the designed bandpass filter are obtained by the help of electromagnetic analysis software; XFDTD. Experimental results regarding the filter frequency characteristic are accomplished by means of a vector network analyzer. The simulation results of the designed filter are modified to overlap with the experimental ones by varying the dielectric constant value. When the simulation and experimental results are overlapped, the value of dielectric constant is accurately selected. In order to illustrate the validity of proposed method, the dielectric constant values of flame resistant-4 (FR4) substrates are acquired at IEEE 802.11b/g and IEEE 802.11a wireless local area networ...

Bookmarks Related papers MentionsView impact

─ Nowadays, breast cancer is the most common type of the cancer among women’s diseases. It is the... more ─ Nowadays, breast cancer is the most common type of the cancer among women’s diseases. It is the leading cause of death after cardiovascular diseases. Due to risk of uncontrolled reproduction and propagation of the cancer cells, early diagnosis has a crucial importance. Microwave imaging (MWI) is an evolving method and has a variety of advantages such as operating at lower frequencies with a lower power, cost-effectiveness, and providing comfortable measurements without contact. In this paper, an experimental study on microwave imaging of breast cancer with the use of tumor phantom is presented. For this purpose, an experimental setup containing sand, screw and tumor phantom is prepared as replacement of real tissue. Two-dimensional inverse synthetic aperture radar (ISAR) method is used in handling the scattered electric field data from the measurement setup. Inverse radon transform (IRT) method is then utilized to extract the image of the measured scattering electric field data. T...

Bookmarks Related papers MentionsView impact

A microstrip meander line with a single H-shaped Defected Ground Structure (HDGS) is employed to ... more A microstrip meander line with a single H-shaped Defected Ground Structure (HDGS) is employed to design a novel compact lowpass filter with sharp roll off and wide stop band. Two parametric studies were conducted to analyze the sensitivity of the HDGS position and the size effects on the filter response. The design is fabricated to have a 6 GHz cutoff frequency using Rogers TMM 10i substrate, with an area of 7.6 x 6 mm. The measured results are in a good agreement with simulation prediction. Index Terms – Defected ground structures, compact filter, lowpass filter and microstrip meander line.

Bookmarks Related papers MentionsView impact

Advances in microwave breast cancer detection and imaging during last decade are reported in this... more Advances in microwave breast cancer detection and imaging during last decade are reported in this review paper. An introduction to breast cancer and detection methods and detailed information about microwave imaging and selected patents are presented. The advantages and disadvantages of the presented patents and also state of breast cancer detection and imaging are discussed. Microwave imaging for breast tumor detection is considered to be promising, as it is believed that there is a significant or detectable contrast in malignant, benign and normal tissues over a broad frequency range. Also, there have been many dielectric models, especially the double Debye model has been used to define the dielectric response of different biological tissues. On the other hand, double Debye model is not accurate for human breast tissue because there are knowledge limitations about the structure, dynamics, and macroscopic behavior of breast tissue. It is vital that, according to frequency, accurate...

Bookmarks Related papers MentionsView impact

At the present time, nanomaterials are used in the medicine and biology applications such as drug... more At the present time, nanomaterials are used in the medicine and biology applications such as drug and gene delivery, bio-detection of pathogens, MRI contrast enhancement, tumor destruction via heating, and protein detection. Tissue engineering which is another of these applications is being increasingly popular. Because extracellular matrix (ECM) consists nano-sized structure; the usage of nanomaterials in tissue engineering enables to produce of tissue scaffolds that are more closely resemble the ECM form. Thus, the success rate increases in tissue engineering as it is provided a more favorable environment for the growth of cells. Electrospinning is a popular method among nanomaterial production ones. The diameter of the fiber produced by electrospinning technique depends on the various parameters like process, solution, and environmental parameters. In this study, an ANN model based on multilayer perceptron (MLP) is presented for predicting the average fiber diameter (AFD) of elec...

Bookmarks Related papers MentionsView impact

International Journal of Scientific & Technology Research, 2017

The producing of nanofiber tissue scaffolds is quite important for enhancing success in tissue en... more The producing of nanofiber tissue scaffolds is quite important for enhancing success in tissue engineering. Electrospinning method is used frequently to produce of these scaffolds. In this study, a simple and novel expression derived by using artificial bee colony (ABC) optimization algorithm is presented to calculate the average fiber diameter (AFD) of the electrospun gelatin/bioactive glass (Gt/BG) scaffold. The diameter of the fiber produced by electrospinning technique depends on the various parameters like process, solution, and environmental parameters. The experimental results previously published in the literature, which include one solution parameter (BG content) as well as two process parameters (tip to collector distance and solution flow rate) related to producing of electrospun Gt/BG nanofiber, have been used for the optimization process. At first, the AFD expression has been constructed with the use of the solution and process parameters, and then the unknown coefficie...

Bookmarks Related papers MentionsView impact

Bookmarks Related papers MentionsView impact