Konya Journal of Engineering Sciences最新文献_第2页

ENERGY, ENVIRONMENTAL, AND EXERGOECONOMIC (3E) ANALYSIS OF TRANSCRITICAL CO2 BOOSTER AND PARALLEL COMPRESSION SUPERMARKET REFRIGERATION CYCLES IN CLIMATE ZONES OF TÜRKİYE 土耳其气候区跨临界二氧化碳增压和并联压缩超级制冷循环的能源、环境和经济效益（3E）分析

Konya Journal of Engineering Sciences Pub Date : 2024-01-19 DOI: 10.36306/konjes.1393426

Oguzhan Caliskan, H.kürşad Ersoy

{"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":null,"pages":null},"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}

引用次数: 0

A COMMERCIAL TURBOFAN ENGINE MODELING AND EXERGY ANALYSIS 商用涡扇发动机建模和能耗分析

Konya Journal of Engineering Sciences Pub Date : 2024-01-08 DOI: 10.36306/konjes.1332160

O. Kalkan

引用次数: 0

ESTIMATING THE POWER DRAW OF GRIZZLY FEEDERS USED IN CRUSHING–SCREENING PLANTS THROUGH SOFT COMPUTING ALGORITHMS 通过软计算算法估算破碎筛分设备中使用的格栅给料器的耗电量

Konya Journal of Engineering Sciences Pub Date : 2024-01-02 DOI: 10.36306/konjes.1375871

E. Köken

{"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":null,"pages":null},"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}

引用次数: 0

THEORETICAL ANALYSIS OF SOLAR THERMOELECTRIC GENERATORS INTEGRATED WITH RADIATIVE COOLER 集成辐射冷却器的太阳能热电发电机的理论分析

Konya Journal of Engineering Sciences Pub Date : 2023-11-21 DOI: 10.36306/konjes.1336630

Aminu Yusuf

引用次数: 0

GENDER IDENTIFICATION FROM LEFT HAND-WRIST X-RAY IMAGES WITH A HYBRID DEEP LEARNING METHOD 用混合深度学习方法从左手腕 X 光图像中识别性别

Konya Journal of Engineering Sciences Pub Date : 2023-11-03 DOI: 10.36306/konjes.1294139

Cüneyt Özdemir, M. Gedik, Hüdaverdi Küçüker, Yılmaz Kaya

{"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":null,"pages":null},"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}

引用次数: 0

SPACE COOLING WITH GROUNDWATER PUMPED BY A SOLAR DRIVEN PUMP 用太阳能驱动的水泵抽取地下水进行空间冷却

Konya Journal of Engineering Sciences Pub Date : 2023-10-31 DOI: 10.36306/konjes.1325909

Hakan Dumrul, S. Selimli, Sezayi Yilmaz, B. Korkmaz

{"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":null,"pages":null},"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}

引用次数: 0

THE EFFECT OF THE AEGEAN SEA EARTHQUAKE, OCCURRED ON OCTOBER 30, 2020, ON TUSAGA STATIONS 2020 年 10 月 30 日发生的爱琴海地震对图萨加站的影响

Konya Journal of Engineering Sciences Pub Date : 2023-10-16 DOI: 10.36306/konjes.1368573

Tunahan Gündoğan, Sercan Bülbül, C. Inal

{"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":null,"pages":null},"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}

引用次数: 0

THE IMPACT OF EUROPEAN UNION LEGISLATION ON CADASTRAL SURVEYORS: A COMPARATIVE ANALYSIS AND RESULTS IN THE EUROPEA AND TÜRKİYE 欧盟立法对地籍测量员的影响：欧洲和土耳其的比较分析和结果

Konya Journal of Engineering Sciences Pub Date : 2023-10-11 DOI: 10.36306/konjes.1366444

Orhan Ercan

{"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":null,"pages":null},"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}

引用次数: 0

OLIVE LEAF EXTRACT INCORPORATED CHITOSAN FILMS FOR ACTIVE FOOD PACKAGING 用于活性食品包装的橄榄叶提取物壳聚糖薄膜

Konya Journal of Engineering Sciences Pub Date : 2023-10-05 DOI: 10.36306/konjes.1310528

A. Kazan, Fatma Demirci

引用次数: 0

A TWO STAGE MODEL FOR DAY-AHEAD ELECTRICITY PRICE FORECASTING: INTEGRATING EMPIRICAL MODE DECOMPOSITION AND CATBOOST ALGORITHM 用于日前电价预测的两阶段模型：经验模式分解与 catboost 算法的整合

Konya Journal of Engineering Sciences Pub Date : 2023-10-03 DOI: 10.36306/konjes.1290652

C. Yıldız

{"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":null,"pages":null},"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}

引用次数: 0