Pub Date : 2020-06-19DOI: 10.22531/muglajsci.641904
Hayrettin Toylan
This study describes an intelligent control algorithm for the solar tracking system (STS) providing maximum performance from the photovoltaic panel according to different sun positions. The solar tracking system is designed as dual axis to increase the efficiency of photovoltaic panels. DC motors are preferred in order to minimize cost and to control the azimuth and zenith angles in the solar tracking system. Fuzzy logic algorithms are used to adjust the speed of these motors to track the sun’s position with a high degree of accuracy. After designing a fuzzy logic controller in order to control the motors, membership functions of controller and control rules are simultaneously found by genetic algorithms which is an optimization algorithm based on natural selection and genetic mechanics. As a result in the study, the power performance analysis is compared between a photovoltaic panel positioned on the designed solar tracking system and a photovoltaic panel positioned on the static system. According to comparison results, the photovoltaic panel positioned on the solar tracking system is observed that it shows higher performance at varying rates of depending on the seasons.
{"title":"DESIGN AND APPLICATION OF SOLAR TRACKING SYSTEM USING OPTIMIZED FUZZY LOGIC CONTROLLER BY GENETIC ALGORITHM","authors":"Hayrettin Toylan","doi":"10.22531/muglajsci.641904","DOIUrl":"https://doi.org/10.22531/muglajsci.641904","url":null,"abstract":"This study describes an intelligent control algorithm for the solar tracking system (STS) providing maximum performance from the photovoltaic panel according to different sun positions. The solar tracking system is designed as dual axis to increase the efficiency of photovoltaic panels. DC motors are preferred in order to minimize cost and to control the azimuth and zenith angles in the solar tracking system. Fuzzy logic algorithms are used to adjust the speed of these motors to track the sun’s position with a high degree of accuracy. After designing a fuzzy logic controller in order to control the motors, membership functions of controller and control rules are simultaneously found by genetic algorithms which is an optimization algorithm based on natural selection and genetic mechanics. As a result in the study, the power performance analysis is compared between a photovoltaic panel positioned on the designed solar tracking system and a photovoltaic panel positioned on the static system. According to comparison results, the photovoltaic panel positioned on the solar tracking system is observed that it shows higher performance at varying rates of depending on the seasons.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121301547","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}
Pub Date : 2020-06-19DOI: 10.22531/muglajsci.695085
Z. Yeğin, F. Ozen, İ. Yıldırım, Yasin Altinisik, A. Yıldırım
Circadian genes were proven to play significant roles in tumor development and progression via coordinating various cellular processes. Though circadian rhythm disturbances both on the level of expression and genetic variant analysis have been associated with increased risk for many cancer types, none has investigated the potential effect of PER3 VNTR in bladder tumorigenesis yet. In this study, we aimed to assess PER3 VNTR’s effect in terms of creating susceptibility to bladder carcinoma formation. Our second target was to enlighten the possible associations between PER3 genotypes and clinicopathological correlations in bladder carcinoma cohort and thus evaluate outcomes in bladder carcinoma prognosis. In this case-control study, 116 patients and 120 healthy controls were recruited. DNA was isolated from peripheral blood using the standard salting-out procedure and PER3 VNTR variants (ins/del polymorphism) were determined with PCR technique to distinguish the 5-repeats allele (401 bp) from the 4-repeats allele (347 bp). Though this exploratory analysis did not provide evidence supporting the role of PER3 VNTR in the onset of bladder carcinoma, it enabled us to make a risk assessment for the prognosis of bladder carcinoma patients. The survival times of patients decreased in the patient group (progression and cystectomy positive) for PER3 4/4 genotype and (recurrence, progression and cystectomy positive) for PER3 4/5 genotype. Results presented in this study are highly recommended to be investigated and validated in larger samples in different populations and ethnicities to generalize potential clinical utility.
{"title":"PER3 VNTR GENOTYPES MAY PREDICT OVERALL SURVIVAL IN BLADDER CANCER PATIENTS IN THE TURKISH POPULATION","authors":"Z. Yeğin, F. Ozen, İ. Yıldırım, Yasin Altinisik, A. Yıldırım","doi":"10.22531/muglajsci.695085","DOIUrl":"https://doi.org/10.22531/muglajsci.695085","url":null,"abstract":"Circadian genes were proven to play significant roles in tumor development and progression via coordinating various cellular processes. Though circadian rhythm disturbances both on the level of expression and genetic variant analysis have been associated with increased risk for many cancer types, none has investigated the potential effect of PER3 VNTR in bladder tumorigenesis yet. In this study, we aimed to assess PER3 VNTR’s effect in terms of creating susceptibility to bladder carcinoma formation. Our second target was to enlighten the possible associations between PER3 genotypes and clinicopathological correlations in bladder carcinoma cohort and thus evaluate outcomes in bladder carcinoma prognosis. In this case-control study, 116 patients and 120 healthy controls were recruited. DNA was isolated from peripheral blood using the standard salting-out procedure and PER3 VNTR variants (ins/del polymorphism) were determined with PCR technique to distinguish the 5-repeats allele (401 bp) from the 4-repeats allele (347 bp). Though this exploratory analysis did not provide evidence supporting the role of PER3 VNTR in the onset of bladder carcinoma, it enabled us to make a risk assessment for the prognosis of bladder carcinoma patients. The survival times of patients decreased in the patient group (progression and cystectomy positive) for PER3 4/4 genotype and (recurrence, progression and cystectomy positive) for PER3 4/5 genotype. Results presented in this study are highly recommended to be investigated and validated in larger samples in different populations and ethnicities to generalize potential clinical utility.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127574406","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}
Pub Date : 2020-06-19DOI: 10.22531/muglajsci.727517
M. İlkhan, G. C. H. Güleç
Recently, many authors have focused on the studies related to sequence and series spaces. In the literature the simple and fundamental method is to construct new sequence and series spaces by means of the matrix domain of triangular matrices on the classical sequence spaces. Based on this approach, in this study, we introduce a new series space |ϕ_z |_p as the set of all series summable by absolute summability method |Φ,z_n |_p, where Φ=(ϕ_nk ) denotes Euler totient matrix, z=(z_n ) is a sequence of non-negative terms and p≥1. Also, we show that the series space |ϕ_z |_p is linearly isomorphic to the space of all p- absolutely summable sequences l_p for p≥1. Moreover, we determine some topological properties and α, β and γ-duals of this space and give Schauder basis for the space |ϕ_z |_p. Finally, we characterize the classes of the matrix operators from the space |ϕ_z |_p to the classical spaces l_∞,c,c_0,l_1 for 1≤p<∞ and vice versa.
{"title":"A STUDY ON ABSOLUTE EULER TOTIENT SERIES SPACE AND CERTAIN MATRIX TRANSFORMATIONS","authors":"M. İlkhan, G. C. H. Güleç","doi":"10.22531/muglajsci.727517","DOIUrl":"https://doi.org/10.22531/muglajsci.727517","url":null,"abstract":"Recently, many authors have focused on the studies related to sequence and series spaces. In the literature the simple and fundamental method is to construct new sequence and series spaces by means of the matrix domain of triangular matrices on the classical sequence spaces. Based on this approach, in this study, we introduce a new series space |ϕ_z |_p as the set of all series summable by absolute summability method |Φ,z_n |_p, where Φ=(ϕ_nk ) denotes Euler totient matrix, z=(z_n ) is a sequence of non-negative terms and p≥1. Also, we show that the series space |ϕ_z |_p is linearly isomorphic to the space of all p- absolutely summable sequences l_p for p≥1. Moreover, we determine some topological properties and α, β and γ-duals of this space and give Schauder basis for the space |ϕ_z |_p. Finally, we characterize the classes of the matrix operators from the space |ϕ_z |_p to the classical spaces l_∞,c,c_0,l_1 for 1≤p<∞ and vice versa.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133448768","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}
Pub Date : 2020-06-15DOI: 10.22531/muglajsci.597462
Hanife Akgül, Esma Uzunhisarlikçi, E. Kavuncuoglu
In recent years, with the increase in the amount of data, the development of the technology required for the analysis of this data has made it easier for artificial intelligence to enter all areas. In this study, "Loneliness Scale for the Elderly" was used to measure loneliness level as a dependent variable, and the predictability of emotional and social loneliness parameters obtained was investigated with artificial intelligence and statistical techniques. For this reason, various scales were used to examine Emotional Loneliness (EL), and Social Loneliness (SL) and various input parameters were used in the scales. In this study, we designed an expert system which uses the Artificial Neural Network (ANN) - Machine Learning Algorithm and Multiple Linear Regression (MLR) statistical methods to estimate the SL and EL values by feeding with input values. Root Mean Squared Error (RMSE) and Correlation Coefficient (R) parameters were used to evaluate the predictive performance of the expert system. When the performance criteria were analyzed, it was found that ANN was the best predictor of SL and EL values. Social or emotional loneliness of individuals can be estimated by entering the questionnaire responses that are not included in the sample through the expert system developed in this study.
{"title":"ESTIMATION OF EMOTIONAL AND SOCIAL LONELINESS IN ELDERS WITH THE DEVELOPED ARTIFICIAL NEURAL NETWORKS AND MULTIPLE LINEAR REGRESSION MODELS","authors":"Hanife Akgül, Esma Uzunhisarlikçi, E. Kavuncuoglu","doi":"10.22531/muglajsci.597462","DOIUrl":"https://doi.org/10.22531/muglajsci.597462","url":null,"abstract":"In recent years, with the increase in the amount of data, the development of the technology required for the analysis of this data has made it easier for artificial intelligence to enter all areas. In this study, \"Loneliness Scale for the Elderly\" was used to measure loneliness level as a dependent variable, and the predictability of emotional and social loneliness parameters obtained was investigated with artificial intelligence and statistical techniques. For this reason, various scales were used to examine Emotional Loneliness (EL), and Social Loneliness (SL) and various input parameters were used in the scales. In this study, we designed an expert system which uses the Artificial Neural Network (ANN) - Machine Learning Algorithm and Multiple Linear Regression (MLR) statistical methods to estimate the SL and EL values by feeding with input values. Root Mean Squared Error (RMSE) and Correlation Coefficient (R) parameters were used to evaluate the predictive performance of the expert system. When the performance criteria were analyzed, it was found that ANN was the best predictor of SL and EL values. Social or emotional loneliness of individuals can be estimated by entering the questionnaire responses that are not included in the sample through the expert system developed in this study.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129280488","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}
Pub Date : 2020-06-15DOI: 10.22531/muglajsci.630528
G. Kuvat, Abdullah Tülek
Migration is the process of sending selected solutions from a sub-population to the neighboring sub-population at specified intervals in parallel metaheuristic algorithms (PMAs). Topology, migration rate (MR), migration interval (MI), migration policy and communication model are the factors which characterize the nature of migration. Identification of relationship between migration parameters and an accurate selection of such parameter values increase the performance of PMAs. The number of sub-populations (NS) denotes the number of different populations in which algorithm can perform simultaneous searches. In this study, Migrating Birds Optimization (MBO) Algorithm, no migration performed, was applied for four different NS values. Additionally, Parallel Migrating Birds Optimization (PMBO) Algorithm is executed using five MR values, five MI values and four NS values and obtained fitness values are provided. According to the results, PMBO algorithm outperforms MBO in 99% of case studies. Therefore, the contribution of migration to the performance of the algorithm is evidently demonstrated. Furthermore, the values obtained during the iterations are shown on graph to investigate the effect of MI and MR changes on search performance of algorithms. As MI decreases, it is confirmed that the algorithm produces good results in early steps of iterations, making faster searches. MR has a greater effect on performance if MI is kept low. If MI increases, the changes in MR have less affect. Additionally, the effect of MI, MR, NS values and their correlation on fitness value is analyzed with analysis of variance (ANOVA). According to the analysis, MI is identified to be the most significant factor. The least significant factor is NS. Combinations of such parameters are analyzed and it was shown that MR*MI combination has the most significant effect on performance.
{"title":"AN EFFECT ANALYSIS OF THE PARALLEL MIGRATING BIRDS OPTIMIZATION ALGORITHM PARAMETERS","authors":"G. Kuvat, Abdullah Tülek","doi":"10.22531/muglajsci.630528","DOIUrl":"https://doi.org/10.22531/muglajsci.630528","url":null,"abstract":"Migration is the process of sending selected solutions from a sub-population to the neighboring sub-population at specified intervals in parallel metaheuristic algorithms (PMAs). Topology, migration rate (MR), migration interval (MI), migration policy and communication model are the factors which characterize the nature of migration. Identification of relationship between migration parameters and an accurate selection of such parameter values increase the performance of PMAs. The number of sub-populations (NS) denotes the number of different populations in which algorithm can perform simultaneous searches. In this study, Migrating Birds Optimization (MBO) Algorithm, no migration performed, was applied for four different NS values. Additionally, Parallel Migrating Birds Optimization (PMBO) Algorithm is executed using five MR values, five MI values and four NS values and obtained fitness values are provided. According to the results, PMBO algorithm outperforms MBO in 99% of case studies. Therefore, the contribution of migration to the performance of the algorithm is evidently demonstrated. Furthermore, the values obtained during the iterations are shown on graph to investigate the effect of MI and MR changes on search performance of algorithms. As MI decreases, it is confirmed that the algorithm produces good results in early steps of iterations, making faster searches. MR has a greater effect on performance if MI is kept low. If MI increases, the changes in MR have less affect. Additionally, the effect of MI, MR, NS values and their correlation on fitness value is analyzed with analysis of variance (ANOVA). According to the analysis, MI is identified to be the most significant factor. The least significant factor is NS. Combinations of such parameters are analyzed and it was shown that MR*MI combination has the most significant effect on performance.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002168","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}
Pub Date : 2020-06-15DOI: 10.22531/muglajsci.616054
Özlem Kuvat, R. Demir
The enterprises within the cattle sector, which holds an important place in the development of agriculture and animal husbandry sector, have to make decisions about their production frequently. These farm animals are categorized into three categories: dairy, meat and combined (meat and dairy). In line with these characteristics, business owners make production with their chosen animals. Enterprises face problems as a result of irregularities in the market, supply and demand imbalance, insufficient research by the investors and breeding of farmers towards breeds that are not suitable for their purposes. In this study, it was aimed to determine which breed would be appropriate for the breeding enterprises. This study was carried out in Balikesir Province due to its high production potential in terms of agriculture and animal husbandry. Karesi District, which has an important share in production in Balikesir Province, has been considered as the application area. In the study, between 50-100 and over 100 bovine farms are considered. In this study, important criteria were determined for enterprises and comparison of these criteria was provided. A hierarchical system was used to compare the criterias “Vital Characteristics”, “Milk Yield Characteristics” and “Meat Yield Characteristics”, according to the opinions of business owners or managers, and to select the most suitable alternative. According to the established decision model; Analytic Hierarchy Process (AHP) method was used in order to determine the criteria priorities and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method was used to sort the alternatives.
{"title":"USE OF AHP AND MOORA FOR CATTLE BREEDING: KARESI DISTRICT OF BALIKESIR PROVINCE APPLICATION","authors":"Özlem Kuvat, R. Demir","doi":"10.22531/muglajsci.616054","DOIUrl":"https://doi.org/10.22531/muglajsci.616054","url":null,"abstract":"The enterprises within the cattle sector, which holds an important place in the development of agriculture and animal husbandry sector, have to make decisions about their production frequently. These farm animals are categorized into three categories: dairy, meat and combined (meat and dairy). In line with these characteristics, business owners make production with their chosen animals. Enterprises face problems as a result of irregularities in the market, supply and demand imbalance, insufficient research by the investors and breeding of farmers towards breeds that are not suitable for their purposes. In this study, it was aimed to determine which breed would be appropriate for the breeding enterprises. This study was carried out in Balikesir Province due to its high production potential in terms of agriculture and animal husbandry. Karesi District, which has an important share in production in Balikesir Province, has been considered as the application area. In the study, between 50-100 and over 100 bovine farms are considered. In this study, important criteria were determined for enterprises and comparison of these criteria was provided. A hierarchical system was used to compare the criterias “Vital Characteristics”, “Milk Yield Characteristics” and “Meat Yield Characteristics”, according to the opinions of business owners or managers, and to select the most suitable alternative. According to the established decision model; Analytic Hierarchy Process (AHP) method was used in order to determine the criteria priorities and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method was used to sort the alternatives.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115096765","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}
Pub Date : 2020-06-15DOI: 10.22531/muglajsci.643554
Gökhan Silahtaroglu, Zehra Nur Canbolat
Sepsis infection, which is one of the most important causes of death in intensive care units, is seen as a severe global health crisis. If an early diagnosis of sepsis infection cannot be made, and treatment is not started rapidly, septic shock may result in multiple organ failure and death is almost inevitable. Therefore, it is vital to establish an early diagnosis and start the treatment at once. This study aims to accomplish a new model of unsupervised machine learning using lactate and Ph laboratory test values, which are considered to be important parameters to diagnose sepsis infection. The data used in the study have been obtained from MIMIC-III international clinical database. Unsupervised machine learning has been performed via the Fuzzy-C algorithm along with validity indexes like Xie Beni on patients’ data diagnosed sepsis and non-sepsis. The machine-generated ten labels at the end of the training session considering-designed validity indexes. The labelled cluster representatives have been reduced to two dimensions by Principal Component Analysis method in order to monitor the learning in a two-dimensional space. The study contributes to the literature by conducting unsupervised learning through two parameters (Lactate and Ph) and leading to multi-parameter studies. In addition, the study reports that there are five types of sepsis patterns in terms of Lactate and PH laboratory tests.
{"title":"AN EARLY PREDICTION AND DIAGNOSIS OF SEPSIS IN INTENSIVE CARE UNITS: AN UNSUPERVİSED MACHINE LEARNING MODEL","authors":"Gökhan Silahtaroglu, Zehra Nur Canbolat","doi":"10.22531/muglajsci.643554","DOIUrl":"https://doi.org/10.22531/muglajsci.643554","url":null,"abstract":"Sepsis infection, which is one of the most important causes of death in intensive care units, is seen as a severe global health crisis. If an early diagnosis of sepsis infection cannot be made, and treatment is not started rapidly, septic shock may result in multiple organ failure and death is almost inevitable. Therefore, it is vital to establish an early diagnosis and start the treatment at once. This study aims to accomplish a new model of unsupervised machine learning using lactate and Ph laboratory test values, which are considered to be important parameters to diagnose sepsis infection. The data used in the study have been obtained from MIMIC-III international clinical database. Unsupervised machine learning has been performed via the Fuzzy-C algorithm along with validity indexes like Xie Beni on patients’ data diagnosed sepsis and non-sepsis. The machine-generated ten labels at the end of the training session considering-designed validity indexes. The labelled cluster representatives have been reduced to two dimensions by Principal Component Analysis method in order to monitor the learning in a two-dimensional space. The study contributes to the literature by conducting unsupervised learning through two parameters (Lactate and Ph) and leading to multi-parameter studies. In addition, the study reports that there are five types of sepsis patterns in terms of Lactate and PH laboratory tests.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125295164","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}
Pub Date : 2020-06-15DOI: 10.22531/muglajsci.631222
H. Oktay, Recep Yumrutaş, M. Z. Işık
The estimation of the cooling load through the building envelope is an essential task in the selection of proper HVAC system components that influences the building’s performance. For this task, ASHRAE has presented several methods to calculate the building cooling load due to heat gain, such as the total equivalent temperature difference method (TETD), the cooling load temperature difference method (CLTD), and the radiant time series method (RTS). The present study aims to explore the accuracies of those calculation methods in terms of energy efficiency. In this regard, an analytical solution method utilizing Complex Finite Fourier Transform Technique (CFFT) was developed for the calculation of cooling load due to heat gain to compare the temperature differences obtained from the TETD and CLTD methods. Then, a computer program was prepared in MATLAB to perform the calculations based on an analytical methodology. Besides, the estimated CLTD and TETD values by the CFFT were compared with those values presented in the Handbook of the ASHRAE. The calculation results revealed there is a good agreement between the analytical and presented results in the ASHRAE Manual for the selected building envelopes. However, several differences were found between the estimated TETD and CLTD cooling load values and those presented in the Handbook of ASHRAE.
{"title":"COMPARISON OF CLTD AND TETD COOLING LOAD CALCULATION METHODS FOR DIFFERENT BUILDING ENVELOPES","authors":"H. Oktay, Recep Yumrutaş, M. Z. Işık","doi":"10.22531/muglajsci.631222","DOIUrl":"https://doi.org/10.22531/muglajsci.631222","url":null,"abstract":"The estimation of the cooling load through the building envelope is an essential task in the selection of proper HVAC system components that influences the building’s performance. For this task, ASHRAE has presented several methods to calculate the building cooling load due to heat gain, such as the total equivalent temperature difference method (TETD), the cooling load temperature difference method (CLTD), and the radiant time series method (RTS). The present study aims to explore the accuracies of those calculation methods in terms of energy efficiency. In this regard, an analytical solution method utilizing Complex Finite Fourier Transform Technique (CFFT) was developed for the calculation of cooling load due to heat gain to compare the temperature differences obtained from the TETD and CLTD methods. Then, a computer program was prepared in MATLAB to perform the calculations based on an analytical methodology. Besides, the estimated CLTD and TETD values by the CFFT were compared with those values presented in the Handbook of the ASHRAE. The calculation results revealed there is a good agreement between the analytical and presented results in the ASHRAE Manual for the selected building envelopes. However, several differences were found between the estimated TETD and CLTD cooling load values and those presented in the Handbook of ASHRAE.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122893183","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}
Pub Date : 2020-06-15DOI: 10.22531/muglajsci.633017
Elçin Gökmen, Mehmet Sezer
In this work, high order pantograph type linear functional differential equations with hybrid proportional and variable delays is approximately solved by the modified Taylor matrix method. With this method these functional type differential equations are converted into the matrix form by the Taylor expansion method. The problems are reduced into a set of algebraic equations including Taylor coefficients. By determining the coefficients, the approximate solutions are calculated. Also, an error analysis technique with residual function is developed for the presented method. Some illustrative examples are given to demonstrate the efficiency and applicability of the method. The computer algebraic system Maple 15 is used for all calculations and graphs.
{"title":"A MODIFIED TAYLOR COLLOCATION METHOD FOR PANTOGRAPH TYPE FUNCTIONAL DIFFERENTIAL EQUATIONS WITH HYBRID PROPORTIONAL AND VARIABLE DELAYS","authors":"Elçin Gökmen, Mehmet Sezer","doi":"10.22531/muglajsci.633017","DOIUrl":"https://doi.org/10.22531/muglajsci.633017","url":null,"abstract":"In this work, high order pantograph type linear functional differential equations with hybrid proportional and variable delays is approximately solved by the modified Taylor matrix method. With this method these functional type differential equations are converted into the matrix form by the Taylor expansion method. The problems are reduced into a set of algebraic equations including Taylor coefficients. By determining the coefficients, the approximate solutions are calculated. Also, an error analysis technique with residual function is developed for the presented method. Some illustrative examples are given to demonstrate the efficiency and applicability of the method. The computer algebraic system Maple 15 is used for all calculations and graphs.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194186","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}
Pub Date : 2020-06-04DOI: 10.22531/muglajsci.691517
S. Yalçındağ
Recently, companies have started to use engineering techniques more than ever due to competitive market conditions, high costs, and limited budgets. To be able to reduce incurred costs and increase profitability, companies deeply analyze all the existing processes carefully. In this work, the Employee Shuttle Bus management process of an international company, which is located in Gebze, is considered, analyzed, and improved through mathematical modeling technique. Unified and Area-Based solution alternatives are developed by extending the mathematical formulation of the widely studied School Bus Routing Problem. Both proposed methods and the current situation of the company have been implemented on GAMS and solved by the CPLEX solver. It has been observed that proposed methods have provided significant cost reduction with respect to the current situation of the company. Among the newly developed methods, the Area-Based method has provided the best cost reduction amounts with less resource usage and shorter tour lengths.
{"title":"EMPLOYEE SHUTTLE BUS ROUTING PROBLEM","authors":"S. Yalçındağ","doi":"10.22531/muglajsci.691517","DOIUrl":"https://doi.org/10.22531/muglajsci.691517","url":null,"abstract":"Recently, companies have started to use engineering techniques more than ever due to competitive market conditions, high costs, and limited budgets. To be able to reduce incurred costs and increase profitability, companies deeply analyze all the existing processes carefully. In this work, the Employee Shuttle Bus management process of an international company, which is located in Gebze, is considered, analyzed, and improved through mathematical modeling technique. Unified and Area-Based solution alternatives are developed by extending the mathematical formulation of the widely studied School Bus Routing Problem. Both proposed methods and the current situation of the company have been implemented on GAMS and solved by the CPLEX solver. It has been observed that proposed methods have provided significant cost reduction with respect to the current situation of the company. Among the newly developed methods, the Area-Based method has provided the best cost reduction amounts with less resource usage and shorter tour lengths.","PeriodicalId":149663,"journal":{"name":"Mugla Journal of Science and Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114678682","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：