Legal restrictions on high-GWP refrigerants lead to the widespread use of carbon dioxide in commercial refrigeration, where there is a high energy consumption. Although CO2 has many benefits, its lower critical temperature and higher operation pressure compared to other refrigerants lead to performance reduction. For this reason, studies have been conducted by researchers for performance enhancement. This paper presents energy, environmental impact, and exergoeconomic (3E) analysis of transcritical CO2 booster and parallel compression supermarket refrigeration cycles based on meteorological data of 11 provinces in Türkiye as samples of different climatic regions. Parallel compression cycle achieved up to 18.4% higher coefficient of performance than booster cycle between the investigated ambient temperatures. Up to 5.6% annual energy consumption and environmental impact reduction were obtained using parallel compression. Unit product costs of the parallel compression cycles were calculated between 8.2% and 18% lower than booster cycle in investigated provinces. Developing energy-efficient systems that use environmentally friendly refrigerants will contribute to a sustainable future.
{"title":"ENERGY, ENVIRONMENTAL, AND EXERGOECONOMIC (3E) ANALYSIS OF TRANSCRITICAL CO2 BOOSTER AND PARALLEL COMPRESSION SUPERMARKET REFRIGERATION CYCLES IN CLIMATE ZONES OF TÜRKİYE","authors":"Oguzhan Caliskan, H.kürşad Ersoy","doi":"10.36306/konjes.1393426","DOIUrl":"https://doi.org/10.36306/konjes.1393426","url":null,"abstract":"Legal restrictions on high-GWP refrigerants lead to the widespread use of carbon dioxide in commercial refrigeration, where there is a high energy consumption. Although CO2 has many benefits, its lower critical temperature and higher operation pressure compared to other refrigerants lead to performance reduction. For this reason, studies have been conducted by researchers for performance enhancement. This paper presents energy, environmental impact, and exergoeconomic (3E) analysis of transcritical CO2 booster and parallel compression supermarket refrigeration cycles based on meteorological data of 11 provinces in Türkiye as samples of different climatic regions. Parallel compression cycle achieved up to 18.4% higher coefficient of performance than booster cycle between the investigated ambient temperatures. Up to 5.6% annual energy consumption and environmental impact reduction were obtained using parallel compression. Unit product costs of the parallel compression cycles were calculated between 8.2% and 18% lower than booster cycle in investigated provinces. Developing energy-efficient systems that use environmentally friendly refrigerants will contribute to a sustainable future.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"429 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140502504","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}
Turbofan engines are one of the most common types of engines used in modern commercial and military aircraft due to their efficiency and performance characteristics. In this study, a thermodynamic model is generated using GasTurb 14 software for a commercial two-spool, unmixed flow, and booster turbofan engine (CFM56-5A3) used in Boeing A320-212. Besides, an exergy analysis of the modeled turbofan engine is performed. Exergy performance criteria such as exergy efficiency, exergy development potential, exergy destruction ratio, productivity lack ratio, and fuel depletion ratio are evaluated for the engine components. In addition, how bypass ratio (BPR) affects net thrust and specific fuel consumption (SFC) for the modeled turbofan engine is investigated. As a result, the net thrust and SFC values of the modeled engine and the actual engine are overlapped with 14.0% and 7.2% deviation, respectively. The maximum exergy efficiency occurs at the high-pressure turbine as 0.992. When the bypass ratio is minimum, the maximum net thrust and SFC occur as 62.24 kN and 24.08 g kN-1 s-1, respectively. High pressure turbine has the minimum exergy development potential of 1528.5 kW.
{"title":"A COMMERCIAL TURBOFAN ENGINE MODELING AND EXERGY ANALYSIS","authors":"O. Kalkan","doi":"10.36306/konjes.1332160","DOIUrl":"https://doi.org/10.36306/konjes.1332160","url":null,"abstract":"Turbofan engines are one of the most common types of engines used in modern commercial and military aircraft due to their efficiency and performance characteristics. In this study, a thermodynamic model is generated using GasTurb 14 software for a commercial two-spool, unmixed flow, and booster turbofan engine (CFM56-5A3) used in Boeing A320-212. Besides, an exergy analysis of the modeled turbofan engine is performed. Exergy performance criteria such as exergy efficiency, exergy development potential, exergy destruction ratio, productivity lack ratio, and fuel depletion ratio are evaluated for the engine components. In addition, how bypass ratio (BPR) affects net thrust and specific fuel consumption (SFC) for the modeled turbofan engine is investigated. As a result, the net thrust and SFC values of the modeled engine and the actual engine are overlapped with 14.0% and 7.2% deviation, respectively. The maximum exergy efficiency occurs at the high-pressure turbine as 0.992. When the bypass ratio is minimum, the maximum net thrust and SFC occur as 62.24 kN and 24.08 g kN-1 s-1, respectively. High pressure turbine has the minimum exergy development potential of 1528.5 kW.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"13 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140512183","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 power draw (P) of several grizzly feeders used in the Turkish Mining Industry (TMI) is investigated by considering the classification and regression tree (CART), random forest (RF) and adaptive neuro-fuzzy inference system (ANFIS) algorithms. For this purpose, a comprehensive field survey is performed to collect quantitative data, including power draw (P) of some grizzly feeders and their working conditions such as feeder width (W), feeder length (L), feeder capacity (Q), and characteristic feed size (F80). Before applying the soft computing methodologies, correlation analyses are performed between the input parameters and the output (P). According to these analyses, it is found that W and L are highly associated with P. On the other hand, Q is moderately correlated with P. Consequently, numerous soft computing models were run to estimate the P of the grizzly feeders. Soft computing analysis results demonstrate no superiority between the performances of RF and CART models. The RF analysis results indicate that the W is necessary for evaluating P for grizzly feeders. On the other hand, the ANFIS-based predictive model is found to be the best tool to estimate varying P values, and it satisfies promising results with a correlation of determination value (R2) of 0.97. It is believed that the findings obtained from the present study can guide relevant engineers in selecting the proper motors propelling grizzly feeders.
本研究采用分类和回归树 (CART)、随机森林 (RF) 和自适应神经模糊推理系统 (ANFIS) 算法，对土耳其采矿业 (TMI) 中使用的几种格栅喂料机的耗电量 (P) 进行了研究。为此，我们进行了全面的实地调查，以收集定量数据，包括一些格栅喂料机的耗电量 (P) 及其工作条件，如喂料机宽度 (W)、喂料机长度 (L)、喂料机容量 (Q) 和特征喂料尺寸 (F80)。在应用软计算方法之前，对输入参数和输出（P）之间进行了相关性分析。根据这些分析，发现 W 和 L 与 P 高度相关。软计算分析结果表明，RF 模型和 CART 模型的性能并无优劣之分。RF 分析结果表明，W 是评估灰熊给料机 P 的必要条件。另一方面，基于 ANFIS 的预测模型被认为是估计不同 P 值的最佳工具，其相关决定值 (R2) 为 0.97，结果令人满意。相信本研究得出的结论可以指导相关工程师选择合适的电机来推动格栅喂料机。
{"title":"ESTIMATING THE POWER DRAW OF GRIZZLY FEEDERS USED IN CRUSHING–SCREENING PLANTS THROUGH SOFT COMPUTING ALGORITHMS","authors":"E. Köken","doi":"10.36306/konjes.1375871","DOIUrl":"https://doi.org/10.36306/konjes.1375871","url":null,"abstract":"In this study, the power draw (P) of several grizzly feeders used in the Turkish Mining Industry (TMI) is investigated by considering the classification and regression tree (CART), random forest (RF) and adaptive neuro-fuzzy inference system (ANFIS) algorithms. For this purpose, a comprehensive field survey is performed to collect quantitative data, including power draw (P) of some grizzly feeders and their working conditions such as feeder width (W), feeder length (L), feeder capacity (Q), and characteristic feed size (F80). Before applying the soft computing methodologies, correlation analyses are performed between the input parameters and the output (P). According to these analyses, it is found that W and L are highly associated with P. On the other hand, Q is moderately correlated with P. Consequently, numerous soft computing models were run to estimate the P of the grizzly feeders. Soft computing analysis results demonstrate no superiority between the performances of RF and CART models. The RF analysis results indicate that the W is necessary for evaluating P for grizzly feeders. On the other hand, the ANFIS-based predictive model is found to be the best tool to estimate varying P values, and it satisfies promising results with a correlation of determination value (R2) of 0.97. It is believed that the findings obtained from the present study can guide relevant engineers in selecting the proper motors propelling grizzly feeders.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515173","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}
A comprehensive analysis of solar thermoelectric generators integrated with radiative cooling technology (STEG-RC) is presented in this study. Basically, the STEG-RC operates outdoors; therefore, the effects of various weather parameters on the output performance of the STEG-RC are determined. The results reveal that the most efficient way of enhancing the output performance of the STEG-RC is by concentrating solar energy. The radiative cooling power increases linearly with the ambient temperature achieving the maximum cooling power of 135 W/m2 and 232 W/m2 at solar concentration ratios of C = 1 and C = 5, respectively. The maximum output power of 1.5 mW and 459.6 mW at the optimum wind speeds of 3 m/s and 2 m/s are obtained for C = 1 and C = 5, respectively. There were no significant changes in the power output and radiative cooling power when relative humidity was varied. The cooling power is linearly proportional to solar irradiance for both concentrated and unconcentrated cases.
{"title":"THEORETICAL ANALYSIS OF SOLAR THERMOELECTRIC GENERATORS INTEGRATED WITH RADIATIVE COOLER","authors":"Aminu Yusuf","doi":"10.36306/konjes.1336630","DOIUrl":"https://doi.org/10.36306/konjes.1336630","url":null,"abstract":"A comprehensive analysis of solar thermoelectric generators integrated with radiative cooling technology (STEG-RC) is presented in this study. Basically, the STEG-RC operates outdoors; therefore, the effects of various weather parameters on the output performance of the STEG-RC are determined. The results reveal that the most efficient way of enhancing the output performance of the STEG-RC is by concentrating solar energy. The radiative cooling power increases linearly with the ambient temperature achieving the maximum cooling power of 135 W/m2 and 232 W/m2 at solar concentration ratios of C = 1 and C = 5, respectively. The maximum output power of 1.5 mW and 459.6 mW at the optimum wind speeds of 3 m/s and 2 m/s are obtained for C = 1 and C = 5, respectively. There were no significant changes in the power output and radiative cooling power when relative humidity was varied. The cooling power is linearly proportional to solar irradiance for both concentrated and unconcentrated cases.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139254056","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}
Cüneyt Özdemir, M. Gedik, Hüdaverdi Küçüker, Yılmaz Kaya
In forensic investigations, characteristics such as gender, age, ethnic origin, and height are important in determining biological identity. In this study, we developed a deep learning-based decision support system for gender recognition from wrist radiographs using 13,935 images collected from individuals aged between 2 and 79 years. Differences in all regions of the images, such as carpal bones, radius, ulna bones, epiphysis, cortex, and medulla, were utilized. A hybrid model was proposed for gender determination from X-ray images, in which deep metrics were combined in appropriate layers of transfer learning methods. Although gender determination from X-ray images obtained from different countries has been reported in the literature, no such study has been conducted in Turkey. It was found that gender discrimination yielded different results for males and females. Gender identification was found to be more successful in females aged between 10 and 40 years than in males. However, for age ranges of 2-10 and 40-79 years, gender discrimination was found to be more successful in males. Finally, heat maps of the regions focused on by the proposed model were obtained from the images, and it was found that the areas of focus for gender discrimination were different between males and females.
在法医调查中，性别、年龄、种族和身高等特征对于确定生物身份非常重要。在这项研究中，我们利用从年龄在 2 岁到 79 岁之间的个人收集的 13935 张图像，开发了基于深度学习的决策支持系统，用于从腕部X光片识别性别。我们利用了图像中所有区域的差异，如腕骨、桡骨、尺骨、骨骺、皮质和髓质。研究人员提出了一种从 X 光图像判定性别的混合模型，该模型将深度指标与适当层的迁移学习方法相结合。虽然已有文献报道了从不同国家获取的 X 光图像中判定性别的方法，但在土耳其还没有进行过此类研究。研究发现，性别鉴别对男性和女性产生了不同的结果。研究发现，10 至 40 岁女性的性别识别比男性更成功。然而，在 2-10 岁和 40-79 岁这两个年龄段，性别鉴别在男性中更为成功。最后，从图像中获得了拟议模型所关注区域的热图，发现男性和女性的性别识别重点区域是不同的。
{"title":"GENDER IDENTIFICATION FROM LEFT HAND-WRIST X-RAY IMAGES WITH A HYBRID DEEP LEARNING METHOD","authors":"Cüneyt Özdemir, M. Gedik, Hüdaverdi Küçüker, Yılmaz Kaya","doi":"10.36306/konjes.1294139","DOIUrl":"https://doi.org/10.36306/konjes.1294139","url":null,"abstract":"In forensic investigations, characteristics such as gender, age, ethnic origin, and height are important in determining biological identity. In this study, we developed a deep learning-based decision support system for gender recognition from wrist radiographs using 13,935 images collected from individuals aged between 2 and 79 years. Differences in all regions of the images, such as carpal bones, radius, ulna bones, epiphysis, cortex, and medulla, were utilized. A hybrid model was proposed for gender determination from X-ray images, in which deep metrics were combined in appropriate layers of transfer learning methods. Although gender determination from X-ray images obtained from different countries has been reported in the literature, no such study has been conducted in Turkey. It was found that gender discrimination yielded different results for males and females. Gender identification was found to be more successful in females aged between 10 and 40 years than in males. However, for age ranges of 2-10 and 40-79 years, gender discrimination was found to be more successful in males. Finally, heat maps of the regions focused on by the proposed model were obtained from the images, and it was found that the areas of focus for gender discrimination were different between males and females.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289708","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}
Hakan Dumrul, S. Selimli, Sezayi Yilmaz, B. Korkmaz
In this study, it was experimentally investigated that the groundwater of a well is brought to the surface using solar energy, which is one of the renewable energy sources, and the cooling of a place with this water with low energy density. The study evaluated cooling performance on two different days (Exp. 1 and Exp. 2) and at two different cooling water flow rates. The efficiency of the PV system was found to be 8.33±0.44% in Exp. 1 and 8.3±0.44% in Exp. 2. The cooling loads of the cooled buildings differ in Exp. 1 and Exp. 2 due to ambient conditions. The cooling load in Exp. 1 was determined to be 572±22.8 W and in Exp. 2 about 828±33.1 W. The heat loads extracted from the building by the groundwater used as a cooling fluid are 410±16.4 W and 786±31.4 W for Exp. 1 and Exp. 2. The cooling performance evaluation criteria (CPEP) value was found to be 0.72 for Exp. 1 and 0.95 for Exp. 2. Although there was a significant difference between the cooling loads for Exp. 1 and Exp. 2, the cooling load coverage increased with the increase in cooling water flow rate according to the CPEP values. Although in both experiments the cooling load was not fully met and the temperature inside the structure rose slightly during the experiment, it was kept cool.
{"title":"SPACE COOLING WITH GROUNDWATER PUMPED BY A SOLAR DRIVEN PUMP","authors":"Hakan Dumrul, S. Selimli, Sezayi Yilmaz, B. Korkmaz","doi":"10.36306/konjes.1325909","DOIUrl":"https://doi.org/10.36306/konjes.1325909","url":null,"abstract":"In this study, it was experimentally investigated that the groundwater of a well is brought to the surface using solar energy, which is one of the renewable energy sources, and the cooling of a place with this water with low energy density. The study evaluated cooling performance on two different days (Exp. 1 and Exp. 2) and at two different cooling water flow rates. The efficiency of the PV system was found to be 8.33±0.44% in Exp. 1 and 8.3±0.44% in Exp. 2. The cooling loads of the cooled buildings differ in Exp. 1 and Exp. 2 due to ambient conditions. The cooling load in Exp. 1 was determined to be 572±22.8 W and in Exp. 2 about 828±33.1 W. The heat loads extracted from the building by the groundwater used as a cooling fluid are 410±16.4 W and 786±31.4 W for Exp. 1 and Exp. 2. The cooling performance evaluation criteria (CPEP) value was found to be 0.72 for Exp. 1 and 0.95 for Exp. 2. Although there was a significant difference between the cooling loads for Exp. 1 and Exp. 2, the cooling load coverage increased with the increase in cooling water flow rate according to the CPEP values. Although in both experiments the cooling load was not fully met and the temperature inside the structure rose slightly during the experiment, it was kept cool.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139308994","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}
GNSS is used to determine the point positions on the earth with high accuracy. The accuracy that can be achieved with GNSS depends on the satellite system, processing software, logging interval, observation time, etc. varies depending on the effects. In the study, the impact of the Aegean Sea Earthquake that occurred on November 30, 2020, on TUSAGA was investigated. For this purpose, 7 TUSAGA stations located in the earthquake-affected area were selected. The 24-hour RINEX data for these stations were obtained both 15 days before and after the earthquake. The 24-hour RINEX data of 7 TUSAGA were processed using the GAMIT/GLOBK, based on 14 IGS stations. Furthermore, the evaluations were repeated by dividing the 24-hour RINEX data into 2, 4, and 12-hour intervals. In the evaluation, the GPS+GLONASS+Galileo (MIX) satellite configuration was utilized. The daily solutions obtained to reveal the effect of the earthquake are divided into two parts as before/after the earthquake. For each of TUSAGA stations, pre- and post-earthquake coordinates and RMSE were calculated. With statistical tests, whether the changes in the points are significant or not, the amount and direction of the changes were determined with 95% statistical confidence. As a result, it was concluded that the changes before/after the earthquake were mostly in the MNTS, which is the closest to the earthquake base, the changes in the points generally decrease as you move away from the earthquake center, and the evaluation before/after the earthquake can be made more healthy as the observation time increases. In addition, 30-day coordinates were examined through time series, and only the graph of the change in MNTS was given since it was the closest station to the epicenter of the earthquake.
{"title":"THE EFFECT OF THE AEGEAN SEA EARTHQUAKE, OCCURRED ON OCTOBER 30, 2020, ON TUSAGA STATIONS","authors":"Tunahan Gündoğan, Sercan Bülbül, C. Inal","doi":"10.36306/konjes.1368573","DOIUrl":"https://doi.org/10.36306/konjes.1368573","url":null,"abstract":"GNSS is used to determine the point positions on the earth with high accuracy. The accuracy that can be achieved with GNSS depends on the satellite system, processing software, logging interval, observation time, etc. varies depending on the effects. In the study, the impact of the Aegean Sea Earthquake that occurred on November 30, 2020, on TUSAGA was investigated. For this purpose, 7 TUSAGA stations located in the earthquake-affected area were selected. The 24-hour RINEX data for these stations were obtained both 15 days before and after the earthquake. The 24-hour RINEX data of 7 TUSAGA were processed using the GAMIT/GLOBK, based on 14 IGS stations. Furthermore, the evaluations were repeated by dividing the 24-hour RINEX data into 2, 4, and 12-hour intervals. In the evaluation, the GPS+GLONASS+Galileo (MIX) satellite configuration was utilized. The daily solutions obtained to reveal the effect of the earthquake are divided into two parts as before/after the earthquake. For each of TUSAGA stations, pre- and post-earthquake coordinates and RMSE were calculated. With statistical tests, whether the changes in the points are significant or not, the amount and direction of the changes were determined with 95% statistical confidence. As a result, it was concluded that the changes before/after the earthquake were mostly in the MNTS, which is the closest to the earthquake base, the changes in the points generally decrease as you move away from the earthquake center, and the evaluation before/after the earthquake can be made more healthy as the observation time increases. In addition, 30-day coordinates were examined through time series, and only the graph of the change in MNTS was given since it was the closest station to the epicenter of the earthquake.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139318377","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 task of keeping the cadastre up to date, which is as crucial as its establishment, is carried out by cadastral surveyors. The Lisbon Treaty has been a crucial development that has had profound effects on various professions in the countries that are members of the European Union. This shift is bolstered by measures and legislations that encourage open markets, simplify information sharing, and promote the compatibility of data, exemplified by initiatives like INSPIRE, the Bologna Process, and Small Act Business. This article undertakes an examination of the implications of European Union legislation on the field of cadastral surveying, encompassing a comprehensive analysis of various facets, including the levels of education required, the procedures for licensing and authorization, the duration of validity, affiliations, operational modalities, activities, quality control mechanisms, responsibilities, professional insurance, and the continuous professional development requirements for licensed cadastral surveyors engaged in post-cadastre services across Europe and Türkiye. The article includes a comparative analysis of cadastral surveying practices in European countries and Türkiye, and provides recommendations for completing legislative efforts aimed at achieving greater uniformity in European practices and addressing identified deficiencies within Turkish practices.
{"title":"THE IMPACT OF EUROPEAN UNION LEGISLATION ON CADASTRAL SURVEYORS: A COMPARATIVE ANALYSIS AND RESULTS IN THE EUROPEA AND TÜRKİYE","authors":"Orhan Ercan","doi":"10.36306/konjes.1366444","DOIUrl":"https://doi.org/10.36306/konjes.1366444","url":null,"abstract":"The task of keeping the cadastre up to date, which is as crucial as its establishment, is carried out by cadastral surveyors. The Lisbon Treaty has been a crucial development that has had profound effects on various professions in the countries that are members of the European Union. This shift is bolstered by measures and legislations that encourage open markets, simplify information sharing, and promote the compatibility of data, exemplified by initiatives like INSPIRE, the Bologna Process, and Small Act Business. This article undertakes an examination of the implications of European Union legislation on the field of cadastral surveying, encompassing a comprehensive analysis of various facets, including the levels of education required, the procedures for licensing and authorization, the duration of validity, affiliations, operational modalities, activities, quality control mechanisms, responsibilities, professional insurance, and the continuous professional development requirements for licensed cadastral surveyors engaged in post-cadastre services across Europe and Türkiye. The article includes a comparative analysis of cadastral surveying practices in European countries and Türkiye, and provides recommendations for completing legislative efforts aimed at achieving greater uniformity in European practices and addressing identified deficiencies within Turkish practices.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320597","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}
Packaging materials serve as a barrier to protect the food from the environment and new approaches with improved properties, such as active packaging, is gaining more attention nowadays. In this study, chitosan films containing olive leaf extract (OLE) as an additive were prepared and characterized in terms of mechanical, structural and biological properties. The addition of OLE improved not only the tensile strength (32 MPa) and elongation (9.3%) of chitosan films but also their barrier properties such as water vapor transmission rate of 657.52 g/m2day and moisture retention capability of 90.41%. Furthermore, chitosan films gained antibacterial properties with the addition of OLE and possessed a dose and time-dependent antioxidant activity compared to their extract-free equivalents. As a consequence, the present study suggests that chitosan films incorporated with OLE are a promising alternative as an active food packaging with enhanced mechanical, barrier, antioxidant and antibacterial properties.
包装材料是保护食品免受环境影响的屏障，而具有改进特性的新方法，如活性包装，如今正受到越来越多的关注。本研究制备了含有橄榄叶提取物（OLE）作为添加剂的壳聚糖薄膜，并对其机械、结构和生物特性进行了表征。添加橄榄叶提取物不仅提高了壳聚糖薄膜的拉伸强度（32 兆帕）和伸长率（9.3%），还改善了其阻隔性能，如水蒸气透过率为 657.52 克/平方米天，保湿能力为 90.41%。此外，与不含提取物的等效物相比，添加 OLE 后壳聚糖薄膜获得了抗菌特性，并具有剂量和时间依赖性抗氧化活性。因此，本研究表明，添加了 OLE 的壳聚糖薄膜是一种很有前景的活性食品包装替代品，它具有更强的机械、阻隔、抗氧化和抗菌性能。
{"title":"OLIVE LEAF EXTRACT INCORPORATED CHITOSAN FILMS FOR ACTIVE FOOD PACKAGING","authors":"A. Kazan, Fatma Demirci","doi":"10.36306/konjes.1310528","DOIUrl":"https://doi.org/10.36306/konjes.1310528","url":null,"abstract":"Packaging materials serve as a barrier to protect the food from the environment and new approaches with improved properties, such as active packaging, is gaining more attention nowadays. In this study, chitosan films containing olive leaf extract (OLE) as an additive were prepared and characterized in terms of mechanical, structural and biological properties. The addition of OLE improved not only the tensile strength (32 MPa) and elongation (9.3%) of chitosan films but also their barrier properties such as water vapor transmission rate of 657.52 g/m2day and moisture retention capability of 90.41%. Furthermore, chitosan films gained antibacterial properties with the addition of OLE and possessed a dose and time-dependent antioxidant activity compared to their extract-free equivalents. As a consequence, the present study suggests that chitosan films incorporated with OLE are a promising alternative as an active food packaging with enhanced mechanical, barrier, antioxidant and antibacterial properties.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323031","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}
Electricity price forecasting is crucial for the secure and cost-effective operation of electrical power systems. However, the uncertain and volatile nature of electricity prices makes the electricity price forecasting process more challenging. In this study, a two-stage forecasting model was proposed in order to accurately predict day-ahead electricity prices. Historical natural gas prices, electricity load forecasts, and historical electricity price values were used as the forecasting model inputs. The historical electricity and natural gas price data were decomposed in the first stage to extract more deep features. The empirical mode decomposition (EMD) algorithm was employed for the efficient decomposition process. In the second stage, the categorical boosting (CatBoost) algorithm was proposed to forecast day-ahead electricity prices accurately. To validate the effectiveness of the proposed forecasting model, a case study was conducted using the dataset from the Turkish electricity market. The proposed model results were compared with benchmark machine learning algorithms. The results of this study indicated that the proposed model outperformed the benchmark models with the lowest root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and correlation coefficient (R) values of 8.3282%, 5.2210%, 6.9675%, and 86.2256%, respectively.
{"title":"A TWO STAGE MODEL FOR DAY-AHEAD ELECTRICITY PRICE FORECASTING: INTEGRATING EMPIRICAL MODE DECOMPOSITION AND CATBOOST ALGORITHM","authors":"C. Yıldız","doi":"10.36306/konjes.1290652","DOIUrl":"https://doi.org/10.36306/konjes.1290652","url":null,"abstract":"Electricity price forecasting is crucial for the secure and cost-effective operation of electrical power systems. However, the uncertain and volatile nature of electricity prices makes the electricity price forecasting process more challenging. In this study, a two-stage forecasting model was proposed in order to accurately predict day-ahead electricity prices. Historical natural gas prices, electricity load forecasts, and historical electricity price values were used as the forecasting model inputs. The historical electricity and natural gas price data were decomposed in the first stage to extract more deep features. The empirical mode decomposition (EMD) algorithm was employed for the efficient decomposition process. In the second stage, the categorical boosting (CatBoost) algorithm was proposed to forecast day-ahead electricity prices accurately. To validate the effectiveness of the proposed forecasting model, a case study was conducted using the dataset from the Turkish electricity market. The proposed model results were compared with benchmark machine learning algorithms. The results of this study indicated that the proposed model outperformed the benchmark models with the lowest root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and correlation coefficient (R) values of 8.3282%, 5.2210%, 6.9675%, and 86.2256%, respectively.","PeriodicalId":17899,"journal":{"name":"Konya Journal of Engineering Sciences","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323955","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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