{"title":"Kopula Yöntemi ile Osmaniye Bölgesinin İki Değişkenli Kuraklık Frekans Analizi","authors":"Musa Eşit, M. Yuce","doi":"10.21541/apjes.728959","DOIUrl":"https://doi.org/10.21541/apjes.728959","url":null,"abstract":"","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122878348","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}
Since the two last decades social media networks have become a part of our daily life. Today, getting information from social media, tracking trends in social media, learning the feelings and emotions of people on social media is very essential. In this study, sentiment analysis was performed on Twitter text to learn about the subjective polarities of the writings. The polarities are positive, negative, and neutral. At the first stage of the sentiment analysis a public data set has been obtained. Secondly, natural language processing techniques have been applied to make the data ready for machine learning training procedures. Lastly sentiment analysis is performed by using three different machine learning algorithms. We reached 89% accuracy with Support Vector Machines, 88% accuracy with Random Forest, and 72% accuracy with Gaussian Naive Bayes classifier.
{"title":"Sentiment analysis of Twitter texts using Machine learning algorithms","authors":"Hawar Barzenji","doi":"10.21541/apjes.939338","DOIUrl":"https://doi.org/10.21541/apjes.939338","url":null,"abstract":"Since the two last decades social media networks have become a part of our daily life. Today, getting information from social media, tracking trends in social media, learning the feelings and emotions of people on social media is very essential. In this study, sentiment analysis was performed on Twitter text to learn about the subjective polarities of the writings. The polarities are positive, negative, and neutral. At the first stage of the sentiment analysis a public data set has been obtained. Secondly, natural language processing techniques have been applied to make the data ready for machine learning training procedures. Lastly sentiment analysis is performed by using three different machine learning algorithms. We reached 89% accuracy with Support Vector Machines, 88% accuracy with Random Forest, and 72% accuracy with Gaussian Naive Bayes classifier.","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128151173","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}
{"title":"NUMERICAL STUDY ON SUSPENDED SEDIMENT TRANSPORT UNDER THE EFFECT OF WATER TEMPERATURE IN RESERVOIRS/LAKES","authors":"R. Ghasemlounia, S. Kabdasli","doi":"10.21541/apjes.781753","DOIUrl":"https://doi.org/10.21541/apjes.781753","url":null,"abstract":"","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116528898","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}
{"title":"Design Equation for Operating Frequency of Patch Antenna with a Rectangular Tuning Stub at Early Phase 5G Bands","authors":"B. G. Hakanoglu, Ş. Hayber, M. Turkmen","doi":"10.21541/apjes.764369","DOIUrl":"https://doi.org/10.21541/apjes.764369","url":null,"abstract":"","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"14 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114022526","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}
{"title":"Investigating the Effects of Temperature and Relative Humidity on Performance Ratio of a Grid Connected Photovoltaic System","authors":"C. Aksoy Tırmıkçı, C. Yavuz, Talha Enes Gümüş","doi":"10.21541/apjes.894390","DOIUrl":"https://doi.org/10.21541/apjes.894390","url":null,"abstract":"","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125836076","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}
In this study, the energy generation potential of forest residues in the Mediterranean Region of Turkey are determined by using different gasifier technologies. Gasification is one of the conventional waste to energy conversion technologies for energy production. Syngas, the end product of gasification process, is generally used in internal combustion engines, turbines and boilers as a renewable fuel. Energy potential of forest residues in Mediterranean Region of Turkey was estimated in up-draft fixed bed gasifier, down-draft fixed bed gasifier and circulating fluidized bed gasification systems. The theoretical results revealed that, among the alternatives, down-draft gasifier has shown the highest annual energy production potential of 1125 GWh. The results revealed that forest residues can be utilized as significant renewable energy source in Turkey.
{"title":"Gasification of Forest Residues for Sustainable Development in the Mediterranean Region of Turkey","authors":"Z. Akyürek, Afşin Güngör","doi":"10.21541/apjes.773395","DOIUrl":"https://doi.org/10.21541/apjes.773395","url":null,"abstract":"In this study, the energy generation potential of forest residues in the Mediterranean Region of Turkey are determined by using different gasifier technologies. Gasification is one of the conventional waste to energy conversion technologies for energy production. Syngas, the end product of gasification process, is generally used in internal combustion engines, turbines and boilers as a renewable fuel. Energy potential of forest residues in Mediterranean Region of Turkey was estimated in up-draft fixed bed gasifier, down-draft fixed bed gasifier and circulating fluidized bed gasification systems. The theoretical results revealed that, among the alternatives, down-draft gasifier has shown the highest annual energy production potential of 1125 GWh. The results revealed that forest residues can be utilized as significant renewable energy source in Turkey.","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124634","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}
{"title":"Feature Selection Based Data Mining Approach for Coronary Artery Disease Diagnosis","authors":"K. Akyol","doi":"10.21541/apjes.899055","DOIUrl":"https://doi.org/10.21541/apjes.899055","url":null,"abstract":"","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131545793","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}
{"title":"Expert Modelling and Prediction of Von Mises Stresses in High Speed Steel Cutting Tool Using FEM (ANSYS)","authors":"M. Ozakpolor, C. Aliyegbenoma","doi":"10.21541/apjes.741439","DOIUrl":"https://doi.org/10.21541/apjes.741439","url":null,"abstract":"","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130298500","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}
In this study, grinding + flotation experiments were performed on the sample of complex Pb-Zn sulphide ore taken from Niğde (Ulukışla-Madenköy) region in Turkey. According to the mineralogical analysis of the ore sample used in experimental studies, it was determined that the ore composition contains calcite, quartz, pyrite, chalcopyrite, hematite, goethite, limonite, gypsum, galena, sphalerite, jarosite, arsenopyrite and marcasite minerals. In addition, Au and Ag grains were found to be inclusions in hematite, goethite and jarosite minerals. The experiments were carried out at a solid ratio of 30%, a flow rate of 10 L/min, a stirring rate of 1250 rpm and pH = 9. In flotation tests, lime is used as the pH regulator, zinc sulphate, sodium silicate as the depressant, sodium isobutyl dithiophosphine as the collector and methyl isobutyl carbinol as the frother. In the flotation studies, the effect of Aerophine 3418A collector dosage on flotation was investigated. As a result, a lead concentrate of 55.13% Pb was obtained and it was found that this concentrate contained 2489 ppm of Ag. The amount of Aerophine 3418A collector was determined as 10 g/t.
{"title":"The Effect of Aerophine 3418A Collector Dosage on Niğde (Ulukışla-Madenköy) Complex Pb-Zn Sulphide Ore Flotation","authors":"T. Agacayak, Nurullah Yilmaz","doi":"10.21541/APJES.783976","DOIUrl":"https://doi.org/10.21541/APJES.783976","url":null,"abstract":"In this study, grinding + flotation experiments were performed on the sample of complex Pb-Zn sulphide ore taken from Niğde (Ulukışla-Madenköy) region in Turkey. According to the mineralogical analysis of the ore sample used in experimental studies, it was determined that the ore composition contains calcite, quartz, pyrite, chalcopyrite, hematite, goethite, limonite, gypsum, galena, sphalerite, jarosite, arsenopyrite and marcasite minerals. In addition, Au and Ag grains were found to be inclusions in hematite, goethite and jarosite minerals. The experiments were carried out at a solid ratio of 30%, a flow rate of 10 L/min, a stirring rate of 1250 rpm and pH = 9. In flotation tests, lime is used as the pH regulator, zinc sulphate, sodium silicate as the depressant, sodium isobutyl dithiophosphine as the collector and methyl isobutyl carbinol as the frother. In the flotation studies, the effect of Aerophine 3418A collector dosage on flotation was investigated. As a result, a lead concentrate of 55.13% Pb was obtained and it was found that this concentrate contained 2489 ppm of Ag. The amount of Aerophine 3418A collector was determined as 10 g/t.","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"141 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133287798","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}
Dizel motorlarinin calisma prensibi geregi buji ateslemeli motorlara gore sahip olduklari ustunluklerinin yaninda, NO ve is emisyonlari acisindan buyuk dezavantajlari vardir. Yakit sarfiyatlarinin dusuk olmasi, bircok uygulamada yaygin olarak kullanilmasina neden olmaktadir. Yururluge giren yasal duzenlemelerin saglanmasi icin bircok ulkede dizel yakitlarina belirli oranlarda biyodizel karistirilma zorunlulugu vardir. Biyodizel, dizel motorlarinda yaygin olarak kullanilan yenilenebilir, alternatif yakitlarin basinda gelmektedir. Bitkisel ve hayvansal yaglardan elde edilen biyodizel, oksijen icerigine sahip dusuk emisyon profilli bir yakittir. Bu calismada, direkt enjeksiyonlu bir dizel motorunda, farkli oranlarda biyodizel karisimlarinin optimum oranlari motor performans parametreleri, NO ve is emisyonlari acisindan en uygun calisma sartlari Taguchi yontemi kullanilarak belirlenmistir. Belirlenen faktor ve seviyelerine gore deney tasarimi yapilmistir. L9 ortogonal dizin secilistir. Calisma sonucunda, motor performans parametreleri, NO ve is emisyonlari acisindan en uyun faktor seviyeleri Taguchi yontemi ile belirlenmistir. Faktorlerin etki dereceleri ANOVA analizi ile test edilmistir.
{"title":"Biyodizel Karışımları ile Çalışan Bir Dizel Motorunda Performans, NO ve İs Emisyonlarını Etkileyen Faktör Seviyelerinin Taguchi Yöntemi ile Belirlenmesi","authors":"Aslan Çoban","doi":"10.21541/APJES.816398","DOIUrl":"https://doi.org/10.21541/APJES.816398","url":null,"abstract":"Dizel motorlarinin calisma prensibi geregi buji ateslemeli motorlara gore sahip olduklari ustunluklerinin yaninda, NO ve is emisyonlari acisindan buyuk dezavantajlari vardir. Yakit sarfiyatlarinin dusuk olmasi, bircok uygulamada yaygin olarak kullanilmasina neden olmaktadir. Yururluge giren yasal duzenlemelerin saglanmasi icin bircok ulkede dizel yakitlarina belirli oranlarda biyodizel karistirilma zorunlulugu vardir. Biyodizel, dizel motorlarinda yaygin olarak kullanilan yenilenebilir, alternatif yakitlarin basinda gelmektedir. Bitkisel ve hayvansal yaglardan elde edilen biyodizel, oksijen icerigine sahip dusuk emisyon profilli bir yakittir. Bu calismada, direkt enjeksiyonlu bir dizel motorunda, farkli oranlarda biyodizel karisimlarinin optimum oranlari motor performans parametreleri, NO ve is emisyonlari acisindan en uygun calisma sartlari Taguchi yontemi kullanilarak belirlenmistir. Belirlenen faktor ve seviyelerine gore deney tasarimi yapilmistir. L9 ortogonal dizin secilistir. Calisma sonucunda, motor performans parametreleri, NO ve is emisyonlari acisindan en uyun faktor seviyeleri Taguchi yontemi ile belirlenmistir. Faktorlerin etki dereceleri ANOVA analizi ile test edilmistir.","PeriodicalId":294830,"journal":{"name":"Academic Platform Journal of Engineering and Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128599889","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}
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