MANAS Journal of Engineering最新文献

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Estimation of the Moisture Content, Volatile Matter, Ash Content, Fixed Carbon and Calorific Values of Saw Dust Briquettes 锯末型煤的水分、挥发物、灰分、固定碳和热值的测定
MANAS Journal of Engineering Pub Date : 2022-01-28 DOI: 10.51354/mjen.940760
Francis Inegbedion
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引用次数: 2
Launching to an Orbit with a Chemical Propellant Staged Rocket Systems 用化学推进剂分级火箭系统发射到轨道
MANAS Journal of Engineering Pub Date : 2022-01-24 DOI: 10.51354/mjen.1000248
Erk Inger
{"title":"Launching to an Orbit with a Chemical Propellant Staged Rocket Systems","authors":"Erk Inger","doi":"10.51354/mjen.1000248","DOIUrl":"https://doi.org/10.51354/mjen.1000248","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123662333","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
On Matrix Sequence of modified Tribonacci-Lucas Numbers 修正tribonaci - lucas数的矩阵序列
MANAS Journal of Engineering Pub Date : 2021-12-17 DOI: 10.51354/mjen.894514
Y. Soykan, E. Taşdemir, Vedat Irge
{"title":"On Matrix Sequence of modified Tribonacci-Lucas Numbers","authors":"Y. Soykan, E. Taşdemir, Vedat Irge","doi":"10.51354/mjen.894514","DOIUrl":"https://doi.org/10.51354/mjen.894514","url":null,"abstract":"In this paper, we define modified Tribonacci-Lucas matrix sequence and investigate its properties.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130321607","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
Parking Lot Occupancy Prediction Using Long Short-Term Memory and Statistical Methods 基于长短期记忆和统计方法的停车场占用率预测
MANAS Journal of Engineering Pub Date : 2021-11-17 DOI: 10.51354/mjen.986631
Yusuf Can Anar, E. Avşar, Abdurrahman Özgür Polat
{"title":"Parking Lot Occupancy Prediction Using Long Short-Term Memory and Statistical Methods","authors":"Yusuf Can Anar, E. Avşar, Abdurrahman Özgür Polat","doi":"10.51354/mjen.986631","DOIUrl":"https://doi.org/10.51354/mjen.986631","url":null,"abstract":"In crowded city centers, drivers looking for available parking space generate extra traffic and in addition, the resulting excessive exhaust gases cause air pollution. Therefore, directing the drivers to a parking spot in an intelligent way is an important task for smart city applications. This task requires the prediction of occupancy states of parking lots which involves appropriate processing of the historical parking data. In this work, Long-Short Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA) methods were applied to parking data collected from curbside parking spots of Adana, Turkey for predicting the parking lot occupancy rates of future values. The experiments were performed for making predictions with different prediction horizons that are 1 minute, 5 minutes, and 15 minutes. The performances of the methods were compared by calculating root mean squared error (RMSE) and mean absolute error (MAE) values. The experiments were performed on data from five different days. According to the results, when the prediction horizon is set to 1 minute, LSTM achieved RMSE and MAE values of 0.98 and 0.72, respectively. For the same prediction horizon, ARIMA achieved RMSE and MAE values of 0.62 and 0.35, respectively. On the other hand, LSTM achieved smaller error values for larger prediction horizons. In conclusion, it was shown that LSTM is more suitable for larger prediction horizons, however, ARIMA is better at predicting near-future values.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211793","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: 1
Boric acid versus boron trioxide as catalysts for green energy source H2 production from sodium borohydride methanolysis 硼酸与三氧化二硼对绿色能源硼氢化钠甲醇分解制氢催化剂的影响
MANAS Journal of Engineering Pub Date : 2021-10-18 DOI: 10.51354/mjen.980286
Sahin Demirci, B. Arı, Sultan Bütün Şengel, Erk Inger, N. Sahiner
{"title":"Boric acid versus boron trioxide as catalysts for green energy source H2 production from sodium borohydride methanolysis","authors":"Sahin Demirci, B. Arı, Sultan Bütün Şengel, Erk Inger, N. Sahiner","doi":"10.51354/mjen.980286","DOIUrl":"https://doi.org/10.51354/mjen.980286","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357826","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: 4
Sedimentological and Mineralogical-Petrographic Characteristics of Miocene Evaporitic Deposits (SW Erzincan, East Anatolia) 东安纳托利亚Erzincan西南部中新世蒸发矿床的沉积学和矿物学岩石学特征
MANAS Journal of Engineering Pub Date : 2021-10-06 DOI: 10.51354/mjen.954609
P. Güngör Yeşilova, Şeyma Yavuz
{"title":"Sedimentological and Mineralogical-Petrographic Characteristics of Miocene Evaporitic Deposits (SW Erzincan, East Anatolia)","authors":"P. Güngör Yeşilova, Şeyma Yavuz","doi":"10.51354/mjen.954609","DOIUrl":"https://doi.org/10.51354/mjen.954609","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131314818","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: 1
Study of the Activity of a Novel Green Catalyst Used in the Production of Hydrogen from Methanolysis of Sodium Borohydride 新型绿色硼氢化钠甲醇解制氢催化剂的活性研究
MANAS Journal of Engineering Pub Date : 2021-10-06 DOI: 10.51354/mjen.934839
Tulin Avci Hansu
{"title":"Study of the Activity of a Novel Green Catalyst Used in the Production of Hydrogen from Methanolysis of Sodium Borohydride","authors":"Tulin Avci Hansu","doi":"10.51354/mjen.934839","DOIUrl":"https://doi.org/10.51354/mjen.934839","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"3 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132683962","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: 4
A CLEANER APPLICATION ON HYDROGEN SULFIDE 硫化氢的清洁应用
MANAS Journal of Engineering Pub Date : 2021-10-05 DOI: 10.51354/mjen.953547
Merve Aksu, M. Morcalı
{"title":"A CLEANER APPLICATION ON HYDROGEN SULFIDE","authors":"Merve Aksu, M. Morcalı","doi":"10.51354/mjen.953547","DOIUrl":"https://doi.org/10.51354/mjen.953547","url":null,"abstract":"","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575951","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 TensorFlow implementation of Local Binary Patterns Transform 局部二值模式变换的TensorFlow实现
MANAS Journal of Engineering Pub Date : 2021-06-30 DOI: 10.51354/mjen.822630
D. Akgün
{"title":"A TensorFlow implementation of Local Binary Patterns Transform","authors":"D. Akgün","doi":"10.51354/mjen.822630","DOIUrl":"https://doi.org/10.51354/mjen.822630","url":null,"abstract":"Feature extraction layers like Local Binary Patterns (LBP) transform can be very useful for improving the accuracy of machine learning and deep learning models depending on the problem type. Direct implementations of such layers in Python may result in long running times, and training a computer vision model may be delayed significantly. For this purpose, TensorFlow framework enables developing accelerated custom operations based on the existing operations which already have support for accelerated hardware such as multicore CPU and GPU. In this study, LBP transform which is used for feature extraction in various applications, was implemented based on TensorFlow operations. The evaluations were done using both standard Python operations and TensorFlow library for performance comparisons. The experiments were realized using images in various dimensions and various batch sizes. Numerical results show that algorithm based on TensorFlow operations provides good acceleration rates over Python runs. The implementation of LBP can be used for the accelerated computing for various feature extraction purposes including machine learning as well as in deep learning applications.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124935537","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: 1
Technologies based on energy savings for OLED devices 基于OLED设备节能的技术
MANAS Journal of Engineering Pub Date : 2021-06-28 DOI: 10.51354/mjen.872956
Mohammed Albaba, Meryem Sena Akkus
{"title":"Technologies based on energy savings for OLED devices","authors":"Mohammed Albaba, Meryem Sena Akkus","doi":"10.51354/mjen.872956","DOIUrl":"https://doi.org/10.51354/mjen.872956","url":null,"abstract":"Recently, scientists are paying more attention to the Organic Light Emitting Diode (OLED) technology as it is being used in devices and displays to play videos and show photos with high resolution. This technology is used in products such as mobile phones, televisions, laptops, etc. To make the energy consumed less, new methods were shown up to prevent high energy consumption while presenting videos and photos on OLED devices and displays without losing their details and quality, one of the methods is a deep learning-based technique which is related to artificial intelligence. In this review paper, the last methods were discussed as well as their results. Saturation, brightness, contrast, and luminance are factors that impacting energy consumption. In terms of OLED mobile phones, there were a few studies that concentrated on turning off the unnecessary pixels which will be black as default, and as a result, the lifetime of batteries will be extended. Also, for OLED mobile phones, a web browser called Chameleon was presented as it has some modes to save the energy consumed while surfing the internet by remapping the displayed colors of the website.","PeriodicalId":102219,"journal":{"name":"MANAS Journal of Engineering","volume":"14 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085478","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
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