Sakarya University Journal of Computer and Information Sciences最新文献_第8页

Detection of Pneumonia with a Novel CNN-based Approach 基于cnn的新型肺炎检测方法

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-12-28 DOI: 10.35377/SAUCIS.04.01.787030

E. Erdem, Tolga Aydin

引用次数: 10

Performance Evaluation of Manet Routing Protocols Using Network Simulator NS2 基于网络模拟器NS2的Manet路由协议性能评估

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-12-22 DOI: 10.35377/SAUCIS...780465

A. Mhmood, A. Zengin

引用次数: 1

A comparative study on the performance of classification algorithms for effective diagnosis of liver diseases 肝脏疾病有效诊断的分类算法性能比较研究

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-12-18 DOI: 10.35377/saucis.03.03.815556

Bihter Das

{"title":"A comparative study on the performance of classification algorithms for effective diagnosis of liver diseases","authors":"Bihter Das","doi":"10.35377/saucis.03.03.815556","DOIUrl":"https://doi.org/10.35377/saucis.03.03.815556","url":null,"abstract":"In recent years, different approaches and methods have been proposed to diagnose various diseases accurately. Since there are a variety of liver diseases, till late-stage liver disease and liver failure occur the symptoms tend to be specific for that illness. Therefore, early diagnosis can play a key role in preventing deaths from liver diseases. In this study, we compare the accuracy of different classification methods supported by the SAS software suite, such as Neural Network, Auto Neural, High Performance (HP) SVM, HP Forest, HP Tree (Decision Tree), and HP Neural for the diagnosis of liver diseases. In this study, the Indian Liver Patient Dataset (ILPD) provided by the University of California, Irvine (UCI) repository is used. Experimental results show that based on the metrics of our study, in the training phase while HP Forest achieves the highest accuracy rate, HP SVM and HP Tree do the lowest accuracy rates. However, in the validation phase, Neural Network achieves the highest accuracy rate and HP Forest does the lowest accuracy rate. Our experimental results may be useful for both researchers and practitioners working in related fields.","PeriodicalId":257636,"journal":{"name":"Sakarya University Journal of Computer and Information Sciences","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126085744","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: 5

Estimation of constant speed time for railway vehicles by stochastic gradient descent algorithm 基于随机梯度下降算法的轨道车辆等速时间估计

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-12-17 DOI: 10.35377/saucis.03.03.805598

M. Akçay

{"title":"Estimation of constant speed time for railway vehicles by stochastic gradient descent algorithm","authors":"M. Akçay","doi":"10.35377/saucis.03.03.805598","DOIUrl":"https://doi.org/10.35377/saucis.03.03.805598","url":null,"abstract":"While the investments in rail transportation systems continue without slowing down, various optimization issues come to the fore in order for the systems to work more efficiently. One of the most important of these issues is the optimization of the vehicle speed profile. Improvement in vehicle speed profile increases efficiency in operating traffic. Vehicle speed profile varies depending on the electrical-characteristic features of the vehicle, the distance between the stations and the line geometry. The vehicle's speed profile consists of several parts, such as acceleration, constant speed travel and braking zones. The constant speed in the constant velocity zone refers to the max operating speed, which is recommended for operation in the restricted area and remains within the limits. This part is critical in creating the speed profile of the vehicle. In this study, the estimation of the value of the constant speed time in the speed profile of the vehicles used in the city metro systems was made by using the Stochastic Gradient Descent method, which is one of the machine learning methods, and compared with various well-known methods. Coefficient of determination (R 2 ) values were calculated as 0.9955 and 0.9951, respectively, with random sampling hold out and cross validation methods.","PeriodicalId":257636,"journal":{"name":"Sakarya University Journal of Computer and Information Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125674584","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

Identification of Plant Species by Deep Learning and Providing as A Mobile Application 植物物种识别的深度学习和提供作为一个移动应用

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-11-04 DOI: 10.35377/saucis.vi.773465

M. F. Adak

引用次数: 3

Analysis of The Covid-19 Impact on Electricity Consumption and Production 新冠肺炎疫情对电力消费和生产的影响分析

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-10-16 DOI: 10.20944/preprints202010.0348.v1

Mehmet Bulut

{"title":"Analysis of The Covid-19 Impact on Electricity Consumption and Production","authors":"Mehmet Bulut","doi":"10.20944/preprints202010.0348.v1","DOIUrl":"https://doi.org/10.20944/preprints202010.0348.v1","url":null,"abstract":"With the year 2020, the world faced a new threat that affects all areas of life, negatively affects production in all areas, and paralyzes social life. The measures and restrictions taken by the country's governments to prevent the epidemic from spreading rapidly in the society with the effect of the Covid-19 virus, which first appeared in China and spread all over the world, brought a new lifestyle. Covid-19 has been much the impact on electricity use and electricity production in the period in Turkey as in other countries. There was a sharp decline in commercial and industrial electricity use. The coronavirus effect has also been reflected in the electricity demand and the consumption amount has undergone a great negative change. Due to the enactment of measures against the new type of coronavirus (COVID-19) epidemic and the partial or full-time curfews, electricity consumption was moved to homes, supermarkets, and hospitals in April 2020 from places where mass consumption is intense, such as industry, workplaces, and educational institutions. In this study, Covid-19 period, the first cases were examined electricity production and consumption in Turkey as of the date it is seen throughout, in comparison with electricity consumption data in the same month of the previous years corresponding to this period, the effects on electricity generation and consumption habits of this period were examined.","PeriodicalId":257636,"journal":{"name":"Sakarya University Journal of Computer and Information Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130703295","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: 15

Automatic Olive Peacock Spot Disease Recognition System Development by Using Single Shot Detector 基于单次检测的橄榄孔雀斑疹病自动识别系统的开发

Sakarya University Journal of Computer and Information Sciences Pub Date : 2020-09-09 DOI: 10.35377/saucis.vi.755269

S. Uğuz

引用次数: 4

Simulation Modeling of An IoT Based Cold Chain Logistics Management System 基于物联网的冷链物流管理系统仿真建模

Sakarya University Journal of Computer and Information Sciences Pub Date : 2019-08-29 DOI: 10.35377/saucis.02.02.598963

C. Çeken, Dini Abdurahman

{"title":"Simulation Modeling of An IoT Based Cold Chain Logistics Management System","authors":"C. Çeken, Dini Abdurahman","doi":"10.35377/saucis.02.02.598963","DOIUrl":"https://doi.org/10.35377/saucis.02.02.598963","url":null,"abstract":"Dunya ekonomisinde gorulen carpici buyume, lojistik hizmetin cevik, esnek ve duyarli olmasini isteyen tedarik zinciri endustrisinide hizlandirmaktadir. Internet teknolojileri, musteri ve lojistik saglayici arasindaki bilgi aktarimi konusunda oldukca basarilidirlar. Bununla birlikte, lojistik hizmetindeki mal akisi ile bilgi akisi arasindaki mevcut bosluk, sicakliga duyarli urunler hakkinda gercek zamanli bilgi edinme konusunda bir sorun teskil etmektedir ve bu da lojistik yonetimini karar vericiler acisindan daha zorlu hale getirmektedir. Nesnelerin Interneti teknolojisi, soguk zincir endustrisinde ortam goruntuleme, yonetim ve karar alma surecleri acisindan umut verici bir cozum gibi gorunmektedir. Bu calisma, soguk zincirin gercek zamanli ortam sicakligini yoneterek, izleyerek ve sicaga duyarli urunlerin raf omrunu tahmin ederek tum aktorlerin karar destegini gelistirmeye yardimci olan Nesnelerin Interneti tabanli bir soguk zincir lojistigi onermektedir. Bu on calismada, ortam parametrelerinin gercek zamanli verileri IEEE 802.15.4 tabanli kablosuz algilayici aglari kullanilarak toplanmis ve bir ag gecidi uzerinden uzak sunucuya aktarilarak urunlerin raf omrunun karar destek sistemi tarafindan tahmin edilebilmesi saglanmistir. Gelistirilen uygulama cerisinde, soguk zincirde bulunan bozulabilir urunlerin tanimlanmasiyla amaciyla radyo frekansli tanimlama (RFID) sistemi de modellenmistir.","PeriodicalId":257636,"journal":{"name":"Sakarya University Journal of Computer and Information Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116709776","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: 7

Traffic Education for Inexperienced Drivers with Virtual Driving Simulator 利用虚拟驾驶模拟器对无经验驾驶员进行交通教育

Sakarya University Journal of Computer and Information Sciences Pub Date : 2019-08-29 DOI: 10.35377/saucis.02.02.593888

İ. Öztel, Cemil Öz

{"title":"Traffic Education for Inexperienced Drivers with Virtual Driving Simulator","authors":"İ. Öztel, Cemil Öz","doi":"10.35377/saucis.02.02.593888","DOIUrl":"https://doi.org/10.35377/saucis.02.02.593888","url":null,"abstract":"Trafikteki arac sayisi ve sehirlerdeki nufus yogunlugu refah seviyesindeki yukselis ile birlikte artmaktadir. Bu durumunun yaninda insanlar trafik ile ilgili yeterince bilgi sahibi degildir. Karayollari Genel Mudurlugu’ne gore Turkiye’deki trafik kazalarinin 2017 yilindaki sayisi 1.202.716’dir. Dunya Saglik Orgutu’nun verilerine gore dunya capindaki trafik kazalarindaki olum sayilari her yil yaklasik olarak 1.35 milyondur. Bu bilgiler goz onunde tutuldugunda trafik egitiminin onemi on plana cikmaktadir. Bu amacla, bu calisma kapsaminda teorik ve pratik olmak uzere bir trafik egitim sistemi gelistirilmistir. Sistemin teorik ayaginda trafik, motor ve ilkyardim bilgisi olmak uzere uc konu baslikli testler yer almaktir. Teorik asama her kullanici icin 10 adet test icermektedir. Sistemin diger bir parcasi ise sistemin donanimsal ayagi ve simulasyon yazilimindan olusmaktadir. Sistemin genel olarak kullaniminda, bir kullanici ilk olarak uc konu basliginda girdigi test sinavinda %70 oraninda basarili olmalidir. Bu sarti sagladiktan sonra kullanici simulator egitimine gecebilir. Simulator direksiyon, pedal sistemi, vites kolu, surucu koltugu, simulasyon ekrani ve sanal ortam yazilimlarindan olusmaktadir. Bu sistem sayesinde acemi suruculer gercek hayatin risklerinden uzak olarak tecrube kazanmalari mumkun olacaktir.","PeriodicalId":257636,"journal":{"name":"Sakarya University Journal of Computer and Information Sciences","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115732708","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

Controlling of Virtual Mirror with Voice and Hand Motion 基于语音和手势的虚拟镜子控制

Sakarya University Journal of Computer and Information Sciences Pub Date : 2019-08-29 DOI: 10.35377/saucis.02.02.596400

Gözde Yolcu Öztel, Serap Kazan

引用次数: 0