4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings最新文献_第8页

Inhibition and Antimicrobial Activity of Lavandula stoechas Essential Oil on Escherichia coli, Staphylococcus aureus and Candida albicans 薰衣草精油对大肠杆菌、金黄色葡萄球菌和白色念珠菌的抑制作用及抑菌活性研究

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.135

Y. Sıcak, E. Eliuz, E. Başaran, H. Ulusoy

{"title":"Inhibition and Antimicrobial Activity of Lavandula stoechas Essential Oil on Escherichia coli, Staphylococcus aureus and Candida albicans","authors":"Y. Sıcak, E. Eliuz, E. Başaran, H. Ulusoy","doi":"10.36287/setsci.4.6.135","DOIUrl":"https://doi.org/10.36287/setsci.4.6.135","url":null,"abstract":"In the present study, the volatile compounds of essential oil of Lavandula stoechas L. (Lavender) was analysed by gas chromatography-mass spectrometry (GC-MS) using the Nist and Willey libraries. It was determined that the main components of L. stoechas were linalyl acetate (36.31%) and linalool (34.18%). Inhibition and antimicrobial activity of volatile oil of the plant against Escherichia coli (ATCC 25293), Staphylococcus aureus (ATCC25925) and Candida albicans were examined by microbroth dilution method. L. stoechas EO (Essential Oil) exhibited antimicrobial activity with MIC of between 14.8 and 32.5 μg/mL. The lowest antimicrobial activity were determined against E. coli in L. stoechas EO (MIC= 32.5 μg/mL), while maximum MIC were noticed as 14.8 μg/mL against C. albicans. The most cell inhibition were noted as 91.76% in C. albicans at the concentration of 4500 μg/mL of L. stoechas. The reductions in living cell number were obtain as 0.54 log in E. coli, 1.04 log in S. aureus and 1.08 log in C. albicans at the same concentration of 4.5 μg/mL. This study showed the strong antimicrobial performance of L. stoechas EO in detail. This study showed that L. stoechas EO inhibits the growth of microorganisms depending on concentration.","PeriodicalId":6817,"journal":{"name":"4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings","volume":"51 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89442899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Meme Kanserinin Makine Öğrenmesi Yöntemleri İle İkili Sınıflandırılması

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.145

Hakan Kör

引用次数: 0

The New Activation Function for Complex Valued Neural Networks: Complex Swish Function 一种新的复值神经网络激活函数:复Swish函数

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.050

M. Celebi, M. Ceylan

{"title":"The New Activation Function for Complex Valued Neural Networks: Complex Swish Function","authors":"M. Celebi, M. Ceylan","doi":"10.36287/setsci.4.6.050","DOIUrl":"https://doi.org/10.36287/setsci.4.6.050","url":null,"abstract":"Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. Weights, threshold, inputs and outputs are all complex numbers in the CVANN. The convergence of the CVANN back propagation algorithm depends on some factors such as selection of appropriate activation function, threshold values, initial weights and normalization of data. The most important of these factors is the selection of the appropriate activation function. The selection of activation function determines the convergence and general formation characteristics of the complex back propagation algorithm. In this study, the swish activation function discovered by Google researchers Prajit Ramachandra, Barret Zoph and Quoc V. Le is discussed in the complex domain. Swish activation function, which gives good results in real plane, has been studied in the complex plane. We have compared the performance of swish activation functions on the complex XOR and symmetry problems with other known activation functions. The simulations’ results show that the proposed network using swish activation function, gives the best results when compared to other networks using the traditional complex logarithmic sigmoid and tangent sigmoid activation functions.","PeriodicalId":6817,"journal":{"name":"4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76377366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Göktepe’de Yetişen Sideritis leptoclada Bitkisinin Farklı Ekstrelerinin Antioksidan Aktivitesi

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.136

Yusuf Sıcak, İrfan Öztürk, Eyüp Başaran, H. Ulusoy

引用次数: 0

Rib Spacing Optimization of a Generic UAV Wing to Increase the Aeroelastic Endurance 通用型无人机翼肋间距优化提高气动弹性续航力

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.032

Tolga Vergün, C. Tola

引用次数: 0

Evaluation of the University Students Friendship Status Effect on Their Academic Achievement with Data Mining Techniques 用数据挖掘技术评价大学生友谊状况对学业成绩的影响

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.022

T. Bardak, S. Bardak

{"title":"Evaluation of the University Students Friendship Status Effect on Their Academic Achievement with Data Mining Techniques","authors":"T. Bardak, S. Bardak","doi":"10.36287/setsci.4.6.022","DOIUrl":"https://doi.org/10.36287/setsci.4.6.022","url":null,"abstract":"There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achievement. Besides, it was emphasized that if friendship relations were positive, it was effective on emotional development. However, there are very limited number of studies examining the friendship relationships of university students by using data mining techniques. Data mining is widely used in many different disciplines today. In its most basic definition, data mining is the extraction of meaningful information from a data set. With the increase of computer the capacity and power, studies in the field of data science have become easier. In this study, the association between friendship, age, gender, department and academic achievement was analyzed with the frequently used association algorithm in data mining. Survey method was used to collect data. Rapidminer software, which is popular in the world, was used for data analysis. As a result of the study, it was determined that friendship relations should be taken into consideration in academic success. It is seen that communication quality is effective in school success as well as in social life. Meanwhile, it has been determined that data mining methods can be used effectively in academic achievement of students.","PeriodicalId":6817,"journal":{"name":"4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81261741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recognition of Handwritten Source Code Characters With Deep Neural Networks 用深度神经网络识别手写源代码字符

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.111

Barış Kılıçlar, Metehan Makinaci

{"title":"Recognition of Handwritten Source Code Characters With Deep Neural Networks","authors":"Barış Kılıçlar, Metehan Makinaci","doi":"10.36287/setsci.4.6.111","DOIUrl":"https://doi.org/10.36287/setsci.4.6.111","url":null,"abstract":"In this paper we present an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few have been done about the offline handwritten source code character recognition. The problem includes the recognition of source code specific characters. We designed and implemented an application, performing preprocessing, histogram based segmentation and normalization on the scanned documents of exam papers which include codes that were written in C programming language. Constructed dataset includes 7093 source code character samples. We enriched this dataset with character samples from the CROHME database by transforming them to offline samples. With resulting 95 classes of 17748 samples, we trained and tested several models of convolutional neural networks (CNN). CNN is a deep learning architecture which is shown to produce state-of-the-art performance rates for handwritten character recognition tasks as well as for various other computer vision applications. Experimental evaluations gave performance rates between 95.43% and 97.49%. We conclude that CNN based classifiers are powerful tools for handwritten source code character recognition task.","PeriodicalId":6817,"journal":{"name":"4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79219810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Malmquist Production Index in determining and improving healthcare productivity in Turkey 马尔姆奎斯特生产指数在确定和提高医疗保健生产力在土耳其

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.124

Serpil Aydın

引用次数: 1

PID Parameter Optimization By Using Ant Colony And Cuckoo Algorithms For Boost Converter 基于蚁群和布谷鸟算法的升压变换器PID参数优化

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.069

Önder Civelek, Metin Tüysüz, M. S. Ayas

引用次数: 2

Determination Of Sediment Yield By Suspended Solids 用悬浮物法测定泥沙量

4th International Symposium on Innovative Approaches in Engineering and Natural Sciences Proceedings Pub Date : 2019-07-26 DOI: 10.36287/setsci.4.6.128

Cengizhan Yıldırım, Mustafa Tüfekçioğlu

引用次数: 0