A combination of attenuated total reflectance–Fourier transform infrared (ATR–FTIR) spectroscopy and chemometric techniques was used to classify different trademarks of edible oils available on the Turkish markets. A total of 144 spectra of edible oil samples, including extra virgin olive oil (VOO), hazelnut oil (HNO), cottonseed oil (CSO), sunflower oil (SFO) and soybean oil (SBO), was recorded. The feasibility of ATR–FTIR with multivariate data analysis for discrimination of extra VOOs from other edible oils was also evaluated. Classification of edible oils was performed using principal components analysis (PCA), hierarchical cluster analysis (HCA), linear discriminant analysis (LDA) and soft independent modeling of class analogies (SIMCA). The spectra collected from wavelength region of 4000–650 cm-1 and 28 different wavelength ranges selected from full spectra were evaluated for optimal classification models. All multivariate analysis provided excellent discriminations between the edible oil classes with low classification error. LDA models constructed with five predictors, and a total of 100% of edible oil samples from different trademarks were correctly classified. Furthermore, no misclassification was reported for the discriminant analysis in supervised SIMCA models with an accuracy of 95%. Consequently, ATR–FTIR spectroscopy combined with multivariate data analyses provides excellent illustrations of the relative positions of the different brands of commercial edible oils according to their quality and purity.
{"title":"ATR–FTIR SPECTROSCOPY COMBINED WITH CHEMOMETRICS FOR RAPID CLASSIFICATION OF EXTRA VIRGIN OLIVE OILS AND EDIBLE OILS FROM DIFFERENT CULTIVARS AVAILABLE ON THE TURKISH MARKETS","authors":"F. Arslan","doi":"10.18038/aubtda.425374","DOIUrl":"https://doi.org/10.18038/aubtda.425374","url":null,"abstract":"A combination of attenuated total reflectance–Fourier transform infrared (ATR–FTIR) spectroscopy and chemometric techniques was used to classify different trademarks of edible oils available on the Turkish markets. A total of 144 spectra of edible oil samples, including extra virgin olive oil (VOO), hazelnut oil (HNO), cottonseed oil (CSO), sunflower oil (SFO) and soybean oil (SBO), was recorded. The feasibility of ATR–FTIR with multivariate data analysis for discrimination of extra VOOs from other edible oils was also evaluated. Classification of edible oils was performed using principal components analysis (PCA), hierarchical cluster analysis (HCA), linear discriminant analysis (LDA) and soft independent modeling of class analogies (SIMCA). The spectra collected from wavelength region of 4000–650 cm-1 and 28 different wavelength ranges selected from full spectra were evaluated for optimal classification models. All multivariate analysis provided excellent discriminations between the edible oil classes with low classification error. LDA models constructed with five predictors, and a total of 100% of edible oil samples from different trademarks were correctly classified. Furthermore, no misclassification was reported for the discriminant analysis in supervised SIMCA models with an accuracy of 95%. Consequently, ATR–FTIR spectroscopy combined with multivariate data analyses provides excellent illustrations of the relative positions of the different brands of commercial edible oils according to their quality and purity.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"165 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80405908","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":"READY MIXED CONCRETE CONSTITUENT MATERIALS; PLASTICIZING CHEMICAL ADMIXTURES AND EFFECTS ON FRESH AND HARDENED PROPERTIES","authors":"Evren Ariöz, Omer Arıöz","doi":"10.18038/aubtda.439551","DOIUrl":"https://doi.org/10.18038/aubtda.439551","url":null,"abstract":"","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"78 354 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81682924","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}
Optimization of selective adsorption of Cu2+ from multi-ion media containing Cu2+, Zn2+ and Ni2+ on activated carbons prepared from ultrasound-assisted 10 % KOH impregnated hazelnut shells was investigated. The effects of independent variables such as particle size, ultrasound power density, impregnation rate, impregnation time, activation temperature and activation time for the production of suitable activated carbons were investigated by experiments with partial factorial design and central composite design. At the end of the adsorption experiments, activated carbons were evaluated by their adsorption capacities. In addition, the results were statistically modelled and optimized using a constrained optimization program via Matlab computer software. Optimum preparation conditions were obtained as follows particle size 1.75 mm, ultrasound power/volume 2 W/L, impregnation ratio 0.0168 g/mL, impregnation time 132 min, activation temperature 661°C and activation time 71,5 min, following with maximum adsorption capacity was found as 82,9 mg Cu2+/g Ac. On the basis of the distribution coefficient (Kd), the selectivity sequence for the multi-ion system of the prepared activated carbons is generally Cu+2 > Zn+2 > Ni+2. As a result, ultrasound-assisted prepared activated carbons can be used effectively to selectively adsorb Cu+2 from multiple ion systems.
{"title":"OPTIMIZATION OF THE SELECTIVE ADSORPTION OF CU2+ VERSUS NI2+ AND ZN2+ IN THE MULTI-ION SYSTEM WITH ACTIVATED CARBONS PREPARED BY ULTRASOUND","authors":"Berrak Başar, Enes Şayan","doi":"10.18038/aubtda.383584","DOIUrl":"https://doi.org/10.18038/aubtda.383584","url":null,"abstract":"Optimization of selective adsorption of Cu2+ from multi-ion media containing Cu2+, Zn2+ and Ni2+ on activated carbons prepared from ultrasound-assisted 10 % KOH impregnated hazelnut shells was investigated. The effects of independent variables such as particle size, ultrasound power density, impregnation rate, impregnation time, activation temperature and activation time for the production of suitable activated carbons were investigated by experiments with partial factorial design and central composite design. At the end of the adsorption experiments, activated carbons were evaluated by their adsorption capacities. In addition, the results were statistically modelled and optimized using a constrained optimization program via Matlab computer software. Optimum preparation conditions were obtained as follows particle size 1.75 mm, ultrasound power/volume 2 W/L, impregnation ratio 0.0168 g/mL, impregnation time 132 min, activation temperature 661°C and activation time 71,5 min, following with maximum adsorption capacity was found as 82,9 mg Cu2+/g Ac. On the basis of the distribution coefficient (Kd), the selectivity sequence for the multi-ion system of the prepared activated carbons is generally Cu+2 > Zn+2 > Ni+2. As a result, ultrasound-assisted prepared activated carbons can be used effectively to selectively adsorb Cu+2 from multiple ion systems.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75155800","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}
U. Ozdemir, M. Kavsaoglu, Zafer Öznalbant, Unver Kaynak
The longitudinal stability analysis of an aircraft is performed by the investigation of root locations of its transfer function’s denominator (the characteristic equation). However, this transfer function is obtained by linearizing aircraft dynamic model at a certain operation point (altitude and speed). However, aircraft have varying stability derivatives, therefore dynamic behavior, for different flight phases such as take-off, cruise, and landing. Thus, the stability investigation of the characteristic equation can be said to be valid only for a certain flight condition. In reality, stability derivatives have varying values depending on flight conditions. Therefore, an analysis including all possible values of stability derivatives in the flight envelope is required to guarantee stability. In this study, two most varying stability derivatives in the transfer function were taken as uncertain parameters. Gridding these two parameters to check the stability of the UAV for all possible flight conditions can be thought as a method, but it is very time-consuming, and it cannot assure the stability theoretically. A new simple approach, guaranteeing stability under the uncertainty of two stability derivatives, is developed by using the Edge and Bialas theorems. Here, the problem of the investigation of the stability under the uncertainty of two stability derivatives is reduced to the analysis of four polynomials. Thus, the stability characteristics of an airplane for a given flight envelope can be easily determined by just looking at the eigenvalues of the matrices obtained from these four polynomials.
{"title":"Longitudinal Stability Analysis of a UAV under the Uncertainty of Two Stability Derivatives","authors":"U. Ozdemir, M. Kavsaoglu, Zafer Öznalbant, Unver Kaynak","doi":"10.18038/AUBTDA.405179","DOIUrl":"https://doi.org/10.18038/AUBTDA.405179","url":null,"abstract":"The longitudinal stability analysis of an aircraft is performed by the investigation of root locations of its transfer function’s denominator (the characteristic equation). However, this transfer function is obtained by linearizing aircraft dynamic model at a certain operation point (altitude and speed). However, aircraft have varying stability derivatives, therefore dynamic behavior, for different flight phases such as take-off, cruise, and landing. Thus, the stability investigation of the characteristic equation can be said to be valid only for a certain flight condition. In reality, stability derivatives have varying values depending on flight conditions. Therefore, an analysis including all possible values of stability derivatives in the flight envelope is required to guarantee stability. In this study, two most varying stability derivatives in the transfer function were taken as uncertain parameters. Gridding these two parameters to check the stability of the UAV for all possible flight conditions can be thought as a method, but it is very time-consuming, and it cannot assure the stability theoretically. A new simple approach, guaranteeing stability under the uncertainty of two stability derivatives, is developed by using the Edge and Bialas theorems. Here, the problem of the investigation of the stability under the uncertainty of two stability derivatives is reduced to the analysis of four polynomials. Thus, the stability characteristics of an airplane for a given flight envelope can be easily determined by just looking at the eigenvalues of the matrices obtained from these four polynomials.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"113 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80541092","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, modification of carbon paste electrode (CPE) with a nano-structured substance, fumed silica (FS), was investigated to develop a voltammetric method for the determination of an endocrine disrupting chemical, estradiol (EST). FS prominently increased the voltammetric response of CPE towards EST. The parameters that affect the volmametric performance of modified CPE were examined to find the optimal conditions. Modified electrode showed a linear response towards EST between the concentration values of 0.1 mM and 15.0 mM EST. Limit of detection value for the method developed was calculated as 0.023 mM. Production reproducibility of the modified electrode was obtained as 3.6 %. The voltammetric behavior of EST was also examined in the presence of different possible substances to evaluate their interference effects. The modified electrode successfully discriminated the oxidation potential of EST in the presence of different substances. The determination of EST was tested in milk and pharmaceutical samples to evaluate the analytical performance of the method. The recovery analysis of EST in milk samples showed that the modified electrode can be used safely in these samples. The modified electrode also achieved the determination of EST in pharmaceutical samples.
在这项研究中，研究了纳米结构物质气相二氧化硅(FS)修饰碳糊电极(CPE)，以建立一种测定内分泌干扰化学物质雌二醇(EST)的伏安法。FS显著提高了CPE对EST的伏安响应，考察了影响改性CPE伏安性能的参数，找出了最佳条件。在0.1 mM ~ 15.0 mM EST浓度范围内，修饰电极对EST呈线性响应，所建立方法的检出限为0.023 mM，生产重现性为3.6%。在不同可能的物质存在下，测试了EST的伏安行为，以评估它们的干扰效应。该修饰电极成功地区分了EST在不同物质存在下的氧化电位。在牛奶和药品样品中进行了EST的测定，以评价该方法的分析性能。对牛奶样品中EST的回收率分析表明，该修饰电极可安全用于牛奶样品中。该修饰电极也实现了药物样品中EST的测定。
{"title":"VOLTAMMETRIC DETERMINATION OF ESTRADIOL IN MILK AND PHARMACEUTICALS BASED ON FUMED-SILICA MODIFIED CARBON PASTE ELECTRODE","authors":"A. Özcan, Duygu Topçuoğulları, A. Özcan","doi":"10.18038/AUBTDA.430622","DOIUrl":"https://doi.org/10.18038/AUBTDA.430622","url":null,"abstract":"In this study, modification of carbon paste electrode (CPE) with a nano-structured substance, fumed silica (FS), was investigated to develop a voltammetric method for the determination of an endocrine disrupting chemical, estradiol (EST). FS prominently increased the voltammetric response of CPE towards EST. The parameters that affect the volmametric performance of modified CPE were examined to find the optimal conditions. Modified electrode showed a linear response towards EST between the concentration values of 0.1 mM and 15.0 mM EST. Limit of detection value for the method developed was calculated as 0.023 mM. Production reproducibility of the modified electrode was obtained as 3.6 %. The voltammetric behavior of EST was also examined in the presence of different possible substances to evaluate their interference effects. The modified electrode successfully discriminated the oxidation potential of EST in the presence of different substances. The determination of EST was tested in milk and pharmaceutical samples to evaluate the analytical performance of the method. The recovery analysis of EST in milk samples showed that the modified electrode can be used safely in these samples. The modified electrode also achieved the determination of EST in pharmaceutical samples.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82070517","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}
Heavy materials handling requires a sophisticated tool for efficient and optimum operations. In recent times, gantry cranes are considered as a dependable choice in terms of handling capacity, effectiveness, timeliness and safety. However, positioning of a trolley to the desired set point as fast as possible within minimum time without overshoot and payload induced oscillation have remained obstacles in crane dynamic control. Several control algorithms have been proposed, tested and implemented based on classical control. Recently, vision control has been introduced in the field of mechatronics as a bridging gap with little or no impact. In this paper, a vision based software control model is proposed such that webcam serves as a capturing sensor and the National Instrument LabVIEW is used as a programming tool for both image processing and crane control. Subsequently, the results of the proposed algorithm are experimentally validated by step increase in the trolley position. According to the results analysis, it is evident that the webcam performance is at an optimum level when compared with the installed sensor in positioning the trolley and minimizing the payload oscillation.
{"title":"VISION BASED CONTROL OF GANTRY CRANE SYSTEM","authors":"A. Okubanjo, O. Oyetola, O. Adekomaya","doi":"10.18038/AUBTDA.420980","DOIUrl":"https://doi.org/10.18038/AUBTDA.420980","url":null,"abstract":"Heavy materials handling requires a sophisticated tool for efficient and optimum operations. In recent times, gantry cranes are considered as a dependable choice in terms of handling capacity, effectiveness, timeliness and safety. However, positioning of a trolley to the desired set point as fast as possible within minimum time without overshoot and payload induced oscillation have remained obstacles in crane dynamic control. Several control algorithms have been proposed, tested and implemented based on classical control. Recently, vision control has been introduced in the field of mechatronics as a bridging gap with little or no impact. In this paper, a vision based software control model is proposed such that webcam serves as a capturing sensor and the National Instrument LabVIEW is used as a programming tool for both image processing and crane control. Subsequently, the results of the proposed algorithm are experimentally validated by step increase in the trolley position. According to the results analysis, it is evident that the webcam performance is at an optimum level when compared with the installed sensor in positioning the trolley and minimizing the payload oscillation.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81155696","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}
The aim of this paper is to investigate the thermal stress analysis of axially layered functionally graded beams under clamped-clamped (C-C) boundary conditions using finite element software which named ANSYS V13 parametric design language (APDL). The beams were made as three layers using functionally graded materials with Zirconia (ceramic) and Aluminum (metal) systems. The order of the layers of the beams was designed using L9 orthogonal array depending on Taguchi Method and thus nine different beam configurations were used. Analysis of signal-to-noise (S/N) ratio was performed to determine the effects of optimum levels of layers on the thermal stress characteristic. Analysis of Variance (ANOVA) was evaluated to carry out the meaningful layers and the percentage contributions of the layers on the thermal stress response. According to the results, the most effective layers on responses were found to be Layer 1 with 75.70 % contribution, Layer 2 with 21.05 % contribution, and Layer 3 with 3.23 % contribution respectively. In addition, the increase of Young's modulus and Thermal expansion values of the layers lead to the thermal stress results of axially layered functionally graded beams. This paper can be determined as a reference for thermal stress analysis of the axially layered beams produced functionally graded materials consists of ceramic and metal contents under clamped-clamped boundary conditions.
{"title":"THERMAL STRESS ANALYSIS OF AXIALLY LAYERED FUNCTIONALLY GRADED BEAMS USING FINITE ELEMENT AND TAGUCHI METHODS","authors":"Savaş Evran","doi":"10.18038/AUBTDA.448786","DOIUrl":"https://doi.org/10.18038/AUBTDA.448786","url":null,"abstract":"The aim of this paper is to investigate the thermal stress analysis of axially layered functionally graded beams under clamped-clamped (C-C) boundary conditions using finite element software which named ANSYS V13 parametric design language (APDL). The beams were made as three layers using functionally graded materials with Zirconia (ceramic) and Aluminum (metal) systems. The order of the layers of the beams was designed using L9 orthogonal array depending on Taguchi Method and thus nine different beam configurations were used. Analysis of signal-to-noise (S/N) ratio was performed to determine the effects of optimum levels of layers on the thermal stress characteristic. Analysis of Variance (ANOVA) was evaluated to carry out the meaningful layers and the percentage contributions of the layers on the thermal stress response. According to the results, the most effective layers on responses were found to be Layer 1 with 75.70 % contribution, Layer 2 with 21.05 % contribution, and Layer 3 with 3.23 % contribution respectively. In addition, the increase of Young's modulus and Thermal expansion values of the layers lead to the thermal stress results of axially layered functionally graded beams. This paper can be determined as a reference for thermal stress analysis of the axially layered beams produced functionally graded materials consists of ceramic and metal contents under clamped-clamped boundary conditions.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"93 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84214294","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 the present paper, new analytical solutions for the space-time fractional coupled Konopelchenko-Dubrovsky (KD) equations are obtained by using the simplified $tan(frac{phi (xi) }{2})$-expansion method (SITEM). Here, fractional derivatives are described in conformable sense. The obtained traveling wave solutions are expressed by the trigonometric, hyperbolic, exponential and rational functions. Simulation of the obtained solutions are given at the end of the paper.
{"title":"SITEM for the Conformable Space-Time Fractional Coupled KD Equations","authors":"H. Yaslan, A. Girgin","doi":"10.30931/JETAS.452732","DOIUrl":"https://doi.org/10.30931/JETAS.452732","url":null,"abstract":"In the present paper, new analytical solutions for the space-time fractional coupled Konopelchenko-Dubrovsky (KD) equations are obtained by using the simplified $tan(frac{phi (xi) }{2})$-expansion method (SITEM). Here, fractional derivatives are described in conformable sense. The obtained traveling wave solutions are expressed by the trigonometric, hyperbolic, exponential and rational functions. Simulation of the obtained solutions are given at the end of the paper.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77112049","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}
Machine learning area is a recent topic in data analysis and a researcher or worker of the area is called “Data Scientist” which nowadays has been a highly preferred job title in computing. In this study, we have two aims that the first is to implement a multiple regression analysis system which is developed in Ubuntu operating system on the Anaconda platform using Python3 in order to construct models of each attribute to make their estimations for future decisions taking less risk in advance of past experiences hided in cumulated data and the second aim is to find out effects of data transformation and min-max normalization in the data preparation before building models. After the system implementation, we test the system to determine the best estimation model of each attribute of the vehicles sold in the five European countries between 1970 and 1999. We have constructed six versions of the original dataset and these versions are used to construct regression models for further estimations. Finally, we compute the regression criterion value of R-Squared for each constructed-model and we compare the models according to these values. Computational results are very promising that the system can be used efficiently and the effects of the data transformation and min-max normalization are significant for some attributes.
{"title":"MULTIPLE REGRESSION ANALYSIS SYSTEM IN MACHINE LEARNING AND ESTIMATING EFFECTS OF DATA TRANSFORMATION&NORMALIZATION","authors":"A. Sayli, Ceyda Akbulut, Kemal Kosuta","doi":"10.30931/jetas.475215","DOIUrl":"https://doi.org/10.30931/jetas.475215","url":null,"abstract":"Machine learning area is a recent topic in data analysis and a researcher or worker of the area is called “Data Scientist” which nowadays has been a highly preferred job title in computing. In this study, we have two aims that the first is to implement a multiple regression analysis system which is developed in Ubuntu operating system on the Anaconda platform using Python3 in order to construct models of each attribute to make their estimations for future decisions taking less risk in advance of past experiences hided in cumulated data and the second aim is to find out effects of data transformation and min-max normalization in the data preparation before building models. After the system implementation, we test the system to determine the best estimation model of each attribute of the vehicles sold in the five European countries between 1970 and 1999. We have constructed six versions of the original dataset and these versions are used to construct regression models for further estimations. Finally, we compute the regression criterion value of R-Squared for each constructed-model and we compare the models according to these values. Computational results are very promising that the system can be used efficiently and the effects of the data transformation and min-max normalization are significant for some attributes.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74405549","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}
The success of companies in each sector is related not only with the performance of the company but also with the sectoral development. The value adding level in each sector also creates extra gains that make companies successful. In this paper, regional distribution of the largest companies in Turkey is analyzed. The annual data of the largest companies in the country based on the company performances, sectoral changes, ownership structure and value adding levels are examined below. Trend analysis for sectoral development is made and sectors are classified as rising and falling based on their performances. The data illustrates that the country replaces high value adding sectors with the low value adding ones. The value adding analysis confirms these results. It is also interesting to see that the share of the state rapidly decreases over time while the share of the private ownerships and foreign companies rise rapidly. A trend analysis is also employed for the changes in ownership structure and the results are presented. The overall results depict that the country is becoming a more industrialized; however, new policies and incentives are needed to increase the value adding in each sector.
{"title":"AN ANALYSIS OF INDUSTRIAL CHANGE IN TURKEY. II: SECTORAL DEVELOPMENT AND VALUE ADDING","authors":"A. Yücekaya","doi":"10.30931/jetas.448266","DOIUrl":"https://doi.org/10.30931/jetas.448266","url":null,"abstract":"The success of companies in each sector is related not only with the performance of the company but also with the sectoral development. The value adding level in each sector also creates extra gains that make companies successful. In this paper, regional distribution of the largest companies in Turkey is analyzed. The annual data of the largest companies in the country based on the company performances, sectoral changes, ownership structure and value adding levels are examined below. Trend analysis for sectoral development is made and sectors are classified as rising and falling based on their performances. The data illustrates that the country replaces high value adding sectors with the low value adding ones. The value adding analysis confirms these results. It is also interesting to see that the share of the state rapidly decreases over time while the share of the private ownerships and foreign companies rise rapidly. A trend analysis is also employed for the changes in ownership structure and the results are presented. The overall results depict that the country is becoming a more industrialized; however, new policies and incentives are needed to increase the value adding in each sector.","PeriodicalId":7757,"journal":{"name":"Anadolu University Journal of Science and Technology-A Applied Sciences and Engineering","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84066674","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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