International Conference on Scientific and Innovative Studies最新文献_第6页

ON THE IDEAL CONVERGENCE OF MARTINGALES 关于鞅的理想收敛性

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.635

Anita Caushi

引用次数: 0

Modeling the Variation between Green Energy Stock Prices and Oil Prices Using Fourier Analysis 用傅里叶分析建模绿色能源股票价格和石油价格之间的变化

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.615

Pınar Avcı, Sevgi Sümerli Sarigül, Ramazan Aldemir

引用次数: 0

Cheating Detection in E-exams System Using EEG Signals 基于脑电图信号的电子考试作弊检测

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.601

H. Mohammed, Qutaiba Ibrahim Ali

{"title":"Cheating Detection in E-exams System Using EEG Signals","authors":"H. Mohammed, Qutaiba Ibrahim Ali","doi":"10.59287/icsis.601","DOIUrl":"https://doi.org/10.59287/icsis.601","url":null,"abstract":"Cheating in e-exams is a real problem that threatens academic integrity and underminesconfidence in the feasibility of remote assessments. Many previous research papers and studies discussedthe issue of cheating in e-exams to prevent or reduce it through the use of the available technologies suchas the use of a web camera to monitor the examinee, some researchers proposed using specific software torestrict the examinee from accessing resources that are not permitted during the exam. This work aims todesign a Semi-automatic, AI-based e-proctoring system that mitigates cheating in e-exams. This researchproposed an innovative method to detect the possibility of cheating in the e-exams. This method relies onthe use of IoT and the Muse2 devices to detect the examinee's physiological state and determine whether itis “Normal” or “Abnormal” through the examinee`s EEG signal, where the abnormal state indicates apossibility of cheating. Convolutional Neural Network (CNN) was used to distinguish the examinee's state.The collected data from 15 students at the fourth stage of the Computer Engineering Department/ Universityof Mosul ranging between 23 and 26 years old showed that there is an obvious difference between the“calm” or “Normal” state and “stress” or “Abnormal” state in the EEG signal of the volunteer. The accuracyof the system was obtained for many testing datasets. The dataset was divided into two main datasets; the30 and 60 seconds duration time. The best accuracy obtained for the 30sec duration time was 97.37%, and97.14% for the 60sec duration time. The researchers concluded that the EEG signal contains a lot ofimportant information that can be utilized to detect the physiological state of the examinee and that theMuse2 device can be reliable to record the EEG signal.","PeriodicalId":178836,"journal":{"name":"International Conference on Scientific and Innovative Studies","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002328","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

La Palma Adasında Meydana Gelen Volkanik Patlamanın Diferansiyel Yapay Açıklıklı Radar İnterferometrisi İle İncelenmesi

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.607

Hilal Yılmaz, Hüseyin Kemaldere

{"title":"La Palma Adasında Meydana Gelen Volkanik Patlamanın Diferansiyel Yapay Açıklıklı Radar İnterferometrisi İle İncelenmesi","authors":"Hilal Yılmaz, Hüseyin Kemaldere","doi":"10.59287/icsis.607","DOIUrl":"https://doi.org/10.59287/icsis.607","url":null,"abstract":"Kanarya Adaları, kuzeybatı Afrika kıta sahanlığının dışında yer alan yedi adet volkanik adadanoluşan bir zincir oluşturur. La Palma Adası, Kanarya Adaları'nın en kuzeybatısında yer alan, beşinci enbüyük ve ikinci en yüksek adasıdır. La Palma Adası tarihte birçok denizaltı ve deniz üstü volkanikpatlamaya sahne olmuştur. Son olarak 1971 de meydana gelen Teneguía patlamasından yıllar sonragünümüzde 19 Eylül 2021’de yanardağ yeniden patlamıştır. Adada gerçekleşen bu patlama kayıtlara göretam 85 gün sürmüş ve 13 Aralık 2021 de ise patlamanın durduğu duyurulmuştur. Diferansiyel yapayaçıklıklı radar interferometri tekniği ile deprem, tasman, heyelan, obruk oluşumu, volkanik patlama gibidoğal ve doğal olmayan nedenlerle meydana gelen yüzey deformasyonları tespit edilebilmektedir. Buçalışmada, La Palma Adasın’da meydana gelen volkanik patlamanın neden olduğu yüzey deformasyonu,Avrupa Uzay Ajansı’nın (ESA) yapay açıklıklı radar uyduları olan Sentinel 1A ve Sentinel 1B uydu verilerive yine ESA’nın ücretsiz açık kaynaklı bir yazılımı olan SNAP kullanılarak belirlenmiştir. Yapılandeğerlendirmeler sonucunda, adanın güneybatı bölümünde uydu bakış doğrultusunda meydana gelenmaksimum kabarma miktarı yaklaşık olarak 31 cm ve adanın güneydoğu kesiminde uydu bakışdoğrultusunda meydana gelen maksimum kabarma miktarı da yaklaşık olarak 11 cm olarak elde edilmiştir.","PeriodicalId":178836,"journal":{"name":"International Conference on Scientific and Innovative Studies","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128212927","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

Evaluation of the Efficiency of Ti/IrO2/RuO2 Anode in COD Removal from Paper Industry Wastewaters by Electrooxidation Method Ti/IrO2/RuO2阳极电氧化法去除造纸废水中COD的效果评价

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.596

B. A. Fil, Cansu Elgün

{"title":"Evaluation of the Efficiency of Ti/IrO2/RuO2 Anode in COD Removal from Paper Industry Wastewaters by Electrooxidation Method","authors":"B. A. Fil, Cansu Elgün","doi":"10.59287/icsis.596","DOIUrl":"https://doi.org/10.59287/icsis.596","url":null,"abstract":"In the research, the electrooxidation method of the electrochemical treatment methods in thebatch system was explored a variety of experimental conditions for the treatment of wastewater from thepaper sector. 4 anodes and 4 cathodes sieve type plates with dimensions of 7 cm x 10 cm were positionedat 0,5 cm intervals in the 2000 mL volume jacketed glass reactor used for the treatment of wastewater fromthe paper industry, and 1200 mL wastewater was used in the testing. 4 coated Ti/IrO2/RuO2 electrodes ofthe sieve type were used as the anode material and 4 uncoated Ti electrodes of the sieve type were utilizedas the cathode material in the electrooxidation of effluent from the paper industry. In the experiments, theremoval rate of the COD (Chemical Oxygen Demand) pollutant parameter; The effects of supportingelectrolyte types and concentrations such as KCl, NaCl, NaNO3, and Na2SO4, and parameters such as initialpH value and current density of wastewater without supporting electrolyte were investigated. According tothe results obtained; In the experiments conducted at the natural pH value of wastewater, 18.55 mA/cm2was the most effective current density, 0.50 M NaCl was the most effective supporting electrolyte type andconcentration. The COD removal rate at the best conditions (37.11 mA/cm2current density) was 90.62%.In optimum conditions; 73.20% COD removal efficiency has been achieved.","PeriodicalId":178836,"journal":{"name":"International Conference on Scientific and Innovative Studies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130505231","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 Comparative Study for COVID-19 Forecasting Models COVID-19预测模型的比较研究

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.600

A. Sendur, Zafer Cakir

引用次数: 0

Aronya (Aronia melanocarpa) Fidanlarının in Vitro ve in Vivo Şartlarda Tuz Stresine Toleranslarının Belirlenmesi

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.583

Mahmood Shaker Mahmood, Lütfi Pırlak

{"title":"Aronya (Aronia melanocarpa) Fidanlarının in Vitro ve in Vivo Şartlarda Tuz Stresine Toleranslarının Belirlenmesi","authors":"Mahmood Shaker Mahmood, Lütfi Pırlak","doi":"10.59287/icsis.583","DOIUrl":"https://doi.org/10.59287/icsis.583","url":null,"abstract":"Bu çalışmada son yıllarda yüksek antioksidan içeriği ve insan beslenmesindeki önemi ile dikkatçeken aronya bitkisinin in vitro ve in vivo ortamlarda tuz stresine karşı gösterdiği tepkiler araştırılmıştır.Bu kapsamda bitkilerin in vitro ve in vivo ortamlarda farklı tuz seviyelerinde morfolojik, fizyolojik vebiyokimyasal tepkileri incelenmiştir. Tuz konsantrasyonları in vitro ortamında 1/3 seyreltik MS, 7/10seyreltik MS, MS (kontrol), MS +1g L-1 NaCl, MS +3 g L-1 NaCl, MS +6 g L-1 NaCl, MS +8 g L-1 NaCl,MS +9 g L-1 NaCl; in vivo ortamda ise 2:1 oranında torf: perlit karışımı içeren 2 litrelik saksılara dikilmişolan aronya fidanlarına sulama suyuyla birlikte haftada 25mM NaCl şeklinde uygulanmıştır. Yapraklardatuz stresine bağlı olarak zararlanmanın başladığı andan itibaren topraktaki tuz seviyeleri belirlenerekdeneme sonlandırılmıştır. Araştırma sonuçlarına göre in vitro şartlarda 1/3 seyreltik MS, 7/10 seyreltik MS,MS (kontrol) ortamlarında explantlarda zarar meydana gelmemiş, MS +1g L-1 NaCl ve MS +3g L-1 NaCldozlarında sürgün ucu ve yapraklarda kahverengileşme, MS +6 g L-1 NaCl, MS +8 g L-1 NaCl, MS +9 g L1 NaCl ortamlarında ise ölüm meydana gelmiştir. in vivo şartlarda tuz uygulamasında bitkilerde sürgün ucuve yapraklarda kahverengileşme meydana gelmiştir. Tuz uygulamaları sonucu dozun artışına paralel olarakbitki boyu, bitki kuru ağırlığı, kök uzunluğu, klorofil içeriği, protein içeriği azalmış, yaprak nispi su içeriğive prolin içeriğinde ise değişiklik meydana gelmemiştir.","PeriodicalId":178836,"journal":{"name":"International Conference on Scientific and Innovative Studies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125308238","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

Human error probability prediction for cargo sampling process on chemical tanker ship under extended SLIM Evidential Reasoning approach 基于扩展SLIM证据推理方法的化工船货物取样过程人为误差概率预测

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.604

Sukru Ilke Sezer, E. Akyuz, O. Arslan

{"title":"Human error probability prediction for cargo sampling process on chemical tanker ship under extended SLIM Evidential Reasoning approach","authors":"Sukru Ilke Sezer, E. Akyuz, O. Arslan","doi":"10.59287/icsis.604","DOIUrl":"https://doi.org/10.59287/icsis.604","url":null,"abstract":"Cargo sampling, which indicates the condition of the cargo on the ship, is one of the importantchemical tanker shipboard operations where human performance is prominent. Any negligence during thecargo sampling process can result in loss of human life, environmental disasters and financial losses.Therefore, evaluating human performance in the cargo sampling process on chemical tanker ships is vitalto avoid these. This paper aims to evaluate the contribution of human errors to the cargo sampling process.Hence, the Success Probability Index Method (SLIM) is conducted, incorporating Evidential Reasoning(ER) approach. While SLIM systematically predicts human error probabilities (HEP) consideringperformance shaping factors (PSFs), ER deals with the uncertain and subjective judgments of experts inthe step of rating and weighting PSFs. Based on the presented ER-SLIM model, HEP can be estimated byaggregating the belief degree of the experts and human performance for the cargo sampling process can beevaluated. The outputs of the paper provide a practical contribution to chemical tanker ship owners, healthsafety environment and quality (HSEQ) managers, maritime safety professionals and, chemical tankerofficers in order to minimize the probability of human error in the cargo sampling process, as well as thetheoretical background.","PeriodicalId":178836,"journal":{"name":"International Conference on Scientific and Innovative Studies","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127394687","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

Measuring the Effect of Data Augmentation in a CNN-Based Deep Neural Network Model 测量基于cnn的深度神经网络模型中数据增强的效果

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.589

Halit Çetiner, Sedat Metlek

{"title":"Measuring the Effect of Data Augmentation in a CNN-Based Deep Neural Network Model","authors":"Halit Çetiner, Sedat Metlek","doi":"10.59287/icsis.589","DOIUrl":"https://doi.org/10.59287/icsis.589","url":null,"abstract":"Traditional classification methods have difficulty in meeting the changing needs according tothe ever-increasing data piles. With the development of processors with high performance as memory andprocessing capabilities, deep learning-based methods have been widely used. A large amount of data isneeded to train a deep learning-based model, which is a computational science field. CIFAR-10, whichcontains images of 10 different objects in the world, is a benchmark dataset used effectively in imageidentification and classification. The proposed deep learning-based models should be tested in a computerenvironment in order to be used in real life. The proposed model performs the testing process with imagesthat it has never encountered during the training phase. In this article, a deep learning model is proposedthat performs classification on the CIFAR-10 dataset, which contains images of objects in the world. Aneffective classification method has been developed by removing the overfitting effect, if any, on theproposed model. Proposed model, classification process was carried out both with and without dataaugmentation. The data set used was expanded with random crop, scale transformation, vertical andhorizontal flipping data augmentation techniques. In the experimental studies, there was a big differencebetween the performance of the process using the data augmentation technique and the process without anyaugmentation. Using different augmentation techniques together or individually did not improve modelperformance. Proposed model achieved success rates of 91.93%, 93.63% and 90.49%, respectively,including train accuracy, precision, recall. According to the results obtained, it can be said that the studyhas achieved results that can compete with the literature.","PeriodicalId":178836,"journal":{"name":"International Conference on Scientific and Innovative Studies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125877982","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

Simulation Analysis for Risk Assessment of Explosions in a Series of Fuel Tanks 一系列油箱爆炸风险评估的仿真分析

International Conference on Scientific and Innovative Studies Pub Date : 2023-04-14 DOI: 10.59287/icsis.611

M. Savsar

引用次数: 0