245 research outputs found
Unmanned aircraft vehicles/unmanned aerial systems digital twinning: Data-driven lift and drag prediction for airfoil design
No full textThis study investigates the innovative application of neural networks algorithms in the aviation industry's mechanical design process, motivated by the pursuit of creating a more accurate and efficient method for performance prediction. Traditional approaches, such as computational fluid dynamics (CFD) simulations based on solving Navier-Stokes’s equations, demand substantial computational power and often exhibit limited accuracy, particularly when compared with complex geometries. The state-of-the-art review unveils a growing research trend advocating for data-driven methodologies to revolutionize design practices, addressing the limitations of conventional techniques. The primary objective of this study is to explore how neural network algorithms can overcome the drawbacks of CFD simulations, offering a more effective alternative for predicting the performance of airfoils. To achieve this objective, we conducted a performance analysis of airfoils using neural network algorithms. The results presented a promising avenue for a more accurate and efficient performance prediction method through digital twinning. The study highlights the advantageous features of neural network methods in unmanned aircraft vehicles (UAV) component mechanical design, showcasing their potential to outperform traditional methods and offering practical recommendations for integration into the design process
Exploring Synthetic Noise Algorithms for Real-World Similar Data Generation: A Case Study on Digitally Twining Hybrid Turbo-Shaft Engines in UAV/UAS Applications
No full textAn emerging technology for automating Unmanned aircraft is digitally twining the system, and employing AI-based data-driven solutions. Digital Twin (DT) enables real-time information flow between physical assets and a virtual model, creating a fully autonomous and resilient transport system. A key challenge in DT as a Service (DTaaS) is the lack of Real-world data for training algorithms and verifying DT functionality. This article focuses on data augmentation using Real-world Similar Synthetic Data Generation (RSSDG) to facilitate DT development in the absence of training data for Machine Learning (ML) algorithms. The main focus is on the noise generation step of the RSSDG for a common Hybrid turbo-shaft engine because there is a significant gap in transforming synthetic data to Real-world similar data. Therefore we generate noise through 6 different noise generation algorithms before Rolling Linear Regression and Filtering the noisy predictions through Kalman Filter. The primary objective is to investigate the sensitivity of the RSSDG process concerning the algorithm that is used for noise generation. The study’s results support the potential capacity of RSSDG for digitally twining the engine in a Real-world operational lifecycle. However, noise generation through Weibull and Von Mises distribution showed low efficiency in general. In the case of Normal Distribution, for both thermal and hybrid models, the corresponding DT model has shown high efficiency in noise filtration and a certain amount of predictions with a lower error rate on all engine parameters, except the engine torque; however, Students-T, Laplace, and log-normal show better performance for engine torque RSSDG
Adem Dema për Adem Demaçin
No full textFilan's Quantum Love is a biographical novel about the life of one of the most important personalities of the Albanian world of the 20th century.
Since the author is a participant in the events then the witnessing role of the novel is of particular importance. There is no other novel in Albanian literature that gives a better description of the situation in Kosovo after the Second World War.
The narrator recounts the events by skipping some of them. He fo- cuses on the events, which he selects for the impact they have had on his memory as well as their weight in people's lives.
The structure of the novel allows the author to say a lot in a few words. The novel is divided into two parts: the electronic letters sent to Dardha and the stories that tell about Filan's life. The first part deals with Filan's present, and the stories with his past.
There are many names in the novel, many characters that Filan's life has encountered, but there is only one character that is completely cons- tructed. Despite this some characters, though episodic, remain long in the reader's memory.
The events and situations that are narrated in the novel have a general character as well. They affect not only Filan's life, but also the lives of all the people.
Dialogue is an important component of the text. In many stories we have Filan's confrontation with a character. Such situations are characteri- zed by dialogues, which are in function of defining of the characters, but also in function of testimony for a while. The most frequent dialogues are in the form of questions-answers.
The variety of narrative perspectives sets Filan's Quantum Love apart. Different situations, meeting people of different profiles make the story, but also the dialogue to have the tone, color and discourse that ref- lects the situations, events and the general atmosphere.
In Filan's Quantum Love we also know the inner world of the man who has not hidden his actions and thoughts. Rare are personalities like Adem Demaçi who, throughout their lives, have had in full compliance the word and the action. As a novel about an extraordinary man and about an unusual time; as a novel of artistic and evidential value Filan's Quantum Love should be included in school curricula so that pupils and students, through art, recog- nize an important period in the life of the Albanian people and, why not, recognize one of the most special and important figures of the nation.
Despite the fact that the literary work is analyzed separately from the name of its author, the name of Adem Demaçi will always be in the mind of the reader whenever Adem Dema is read.Punimi trajton njërën prej veprave më të mira të Adem Demaçit: romanin autobiografik Dashuria kuantike e Filanit, në të cilën, duke rrëfyer me “kapërcime”, autori mbulon një kohë rreth gjysmëshekullore. Ngjarjet, situatat, mjedisi, personazhet janë të vërteta, natyrisht të plotësuara me tisin e fiksionit.
Autori është dëshmitar dhe pjesëmarrës i ngjarjeve, prandaj vlera doku- mentare e librit është e një rëndësie të veçantë. Adem Demaçi dëshmon përmes rrëfimit, por edhe përmes dialogëve e përsiatjeve.
Në këtë punim trajtohen tematika, dialogu, personazhet, vlera dëshmuese dhe përgjithësuese e romanit.
Adem Demaçi edhe kësaj radhe, pavarësisht se shkruan roman autobio- grafik, duke rrëfyer për ngjarjet dhe situatat në të cilat e ka shpënë jeta, jep imazhin dhe atmosferën e një kohe jo të zakonshme në historinë e popullit të
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Several Notions of Sufism in Mu‘înü’l-Mürîd by Sheikh Islam
No full textTürk edebiyat tarihinde önemli bir yeri haiz bulunan Mu‘înü'l- Mürîd, göçebe Türkmenlere tasavvufa ve fıkha dair bilgiler vermek gayesiyle yazılmış olup, Arapça bilmeyen Türkmenlere ana dilleriyle seslenmiştir. Mu‘înü'l-Mürîd’in dilinin sade ve anlaşılır oluşu ve ihtiva ettiği konuların halkın pratik hayatta ihtiyaç duyduğu konular arasından seçilmiş olması, bu eserin Türkmenler arasında asırlarca okunmasını temin etmiştir. Bu çalışmada Mu‘înü'l-Mürîd ve yazarı hakkında kısaca bilgi verilmiş ve eserdeki zikir, nefs ve şeyh kavramlarının tahlili yapılmıştır.Mu‘înu’l-Murîd, which occupies a distinguished place in Turkish history of literature, authored to inform Turkmen tribes about sufism and Fiqh-Islamic civil code, addresses Turkmens who don’t know Arabic with their native language. Thanks to its simple and understandable language as well as including subjects commonly appealed by people in daily life, it has been known and red by Turkmens for centuries. In this work I gave summary information about Mu‘inu’l-Murid and its author and analyzed the notions of zikir/dhikr, nafs/ego and sheikh
Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review
No full textAbstract As real-time data sources expand, the need for detecting anomalies in streaming data becomes increasingly critical for cutting edge data-driven applications. Real-time anomaly detection faces various challenges, requiring automated systems that adapt continuously to evolving data patterns due to the impracticality of human intervention. This study focuses on energy systems (ES), critical infrastructures vulnerable to disruptions from natural disasters, cyber attacks, equipment failures, or human errors, leading to power outages, financial losses, and risks to other sectors. Early anomaly detection ensures energy supply continuity, minimizing disruption impacts, an enhancing system resilience against cyber threats. A systematic literature review (SLR) is conducted to answer 5 essential research questions in anomaly detection due to the lack of standardized knowledge and the rapid evolution of emerging technologies replacing conventional methods. A detailed review of selected literature, extracting insights and synthesizing results has been conducted in order to explore anomaly types that can be detected using Machine Learning algorithms in the scope of Energy Systems, the factors influencing this detection success, the deployment algorithms and security measurement to take in to consideration. This paper provides a comprehensive review and listing of advanced machine learning models, methods to enhance detection performance, methodologies, tools, and enabling technologies for real-time implementation. Furthermore, the study outlines future research directions to improve anomaly detection in smart energy systems
The heart versus the brain, are they also different when it comes to post-vaccination complications, insights from a systematic review of post-COVID-19 vaccines ADEM cases
No full textAbstract Background COVID-19 vaccines have been a game changer in the pandemic, their extensive use was favorable compared to the burden of COVID-19 complications. Despite the low incidence of complications, it was important to analyze them carefully to understand the underlying mechanisms and predisposing factors. For instance, myopericarditis especially from mRNA vaccines, and its relatively higher prevalence in young adults and adolescents has raised a public concern about the use of this vaccine in this group. We aimed through this review to compare the age likelihood of ADEM from COVID-19 vaccines, with that reported in myopericarditis cases; secondary outcome parameters included the gender and number of doses needed to induce COVID-19 vaccines related to ADEM. Methodology A literature search has been conducted on relevant databases to retrieve all case reports/series and systematic reviews describing ADEM with possible linkage to COVID-19. Exclusion criteria included any report not including the desired outcome parameters. Our results were then qualitatively compared with a similar systematic review reporting myopericarditis from COVID-19 vaccines. Results In 38 cases with ADEM, mean age was 49 ± 16 compared to 25 ± 14 in myopericarditis, females were more likely to be affected, and while most of myopericarditis cases develop after the second dose, most of ADEM cases develop after the first dose (76%). Moreover, age > 56 years was more predictive of negative outcome after ADEM in the form of death or permanent vegetative state. Short conclusion The discrepancy in age, gender and number of doses needed to induce complications between ADEM and myopericarditis, signify that the tissue affected is the major orchestrator of the age, gender, and dose characteristics, and not the type of vaccines. A leakier blood brain barrier with aging, might allow easier passage of autoantibodies and cytokines into the brain while lack of inhibitory immune checkpoints in the myocardium in young age might explain the higher prevalence of those cases in young adults and adolescents
A study on the socio-economic impacts of tourism: Example Safranbolu and Amasra
No full textSosyal Bilimler Enstitüsü, Sosyoloji Ana Bilim DalıSafranbolu ve Amasra, Türkiye'de yerli turizm pazarında önemli bir marka olması, özellikle yaz ayları ve tatil dönemlerinde yoğun bir şekilde tercih edilmektedir. Bu çalışmada, bu bölgelere gelen turistlerin kentin sosyal, kültürel ve ekonomik yapısına olan etkileri ve yerel halkın söz konusu bu etkilere yönelik tutumları belirlenmeye çalışılmıştır. Araştırmada genel tarama modeli kullanılmıştır. Araştırmanın verileri Safranbolu ve Amasra' da yaşayan toplam 400 kişiyle anket uygulaması yoluyla toplanmıştır. Verilerin analizinde "SPSS for Windows" istatistik programı kullanılmıştır. Çalışmanın sonucunda hem Amasra'da hem de Safranbolu'da katılımcılar turizmin önemli bir gelir kaynağı olduğunu düşündükleri görülmüştür. Yapılan analizlerde, birinci boyut ile ikinci ve dördüncü boyut arasında ters yönlü bir ilişki orantı, üçüncü ve beşinci boyut arasında doğru yönlü bir ilişki olduğu sonucuna ulaşılmasının yanı sıra yerel halkın turistlerle birlikte olmaktan duydukları memnuniyet seviyesini artıran en önemli unsurun olumlu ekonomik etkileşim olduğu tespit edilmiştir. Verilerin analizi sonucunda elde edilen en dikkat çekici bulgulardan biri ise, yerleşik halkın turistlerle birlikte yaşamaktan genel olarak memnun olduklarını belirtmeleri olmuştur. Arşiv Kayıt Bilgileri : Turizmin Sosyo-Ekonomik Etkileri Üzerine Bir Araştırma Safranbolu ve Amasra Örneği Tezin Yazarı: : Barış ÖZTÜRK Tezin Danışmanı: : Doç. Dr. Adem SAĞIR Tezin Tarihi : 25. 05.2016 Tezin Alanı : Sosyoloji Tezin Yeri: : KBÜSBE-KARABÜK Anahtar Sözcükler : Turizm, Turizm Sosyolojisi, Kültürel Değişim, Safranbolu, AmasraAs they are important brands in local tourism market in Turkey, Safranbolu and Amasra are highly preferred especially during summers and holiday seasons. In this study, it was aimed to determine the effects of tourists towards the social, cultural and economic structure of the city, and the reactions of the local people towards these effects. In this study, general screening model was used. The data of the study were obtained via conducting a survey on 400 people who live in Safranbolu and Amasra. For the analysis of the data, SPSS for Windows Programme was used. At the end of the study, it was understood that the participants both in Safranbolu and Amasra thought that tourism was an important income source. In the analyses carried out, in addition to concluding that there was an indirect relation between the first and second/forth dimensions, and a direct relation between the third and the fifth dimensions; it was found that the most important element increasing the level of satisfaction which the local people feel for being together with the tourists was positive economic interaction. The most remarkable finding obtained as a result of the data analysis was that local people stated their pleasure to live with the tourists. Archive Registration Information Thesis Name : A Study on the Socio-economic Impacts of Tourism: Example Safranbolu and Amasra Thesis AUthor : Barış ÖZTÜRK Thesis Advisor : Doç. Dr. Adem SAĞIR Thesis Subject……………..: Master Thesis Thesis Date………………….:25.02.2016 Thesis Topic…………………..:Sociology Thesis Location………………:KBÜSBE-KARABÜK Key Words…………………..: Tourism, Sociology of Tourism, Cultural Change, Safranbolu, Amasra
Lack of Storage Space for Dangerous Goods: Case Study of the Pristina International Airport "Adem Jashari"
No full textThe purpose of this paper is to define the dangerous goods classes and the lack of storage in Kosovo. The Pristine International Airport “Adem Jashari” (PIA) is the only airport that Kosovo has, and knowing that the number of flights in Kosovo is growing pushed me to analyze the current situation that is going on. The research method that is used in this paper covers an interview with professional people who are responsible for this issue. The research continued with empirical results from the questionnaire developed with a monkey survey covering 100 respondents. Further in the research paper, the author covers marking, labeling and the orientation of the packages that are used for dangerous goods during air transportation. In Kosovo, the Civil Aviation Authority (CAA) is responsible to firstly identify if the goods meet the condition asked from these authorities or not. Therefore, in case of any individuals or airlines wants to transport goods via air, they should ask for permission from CAA and after that, they might proceed with further application procedures. In the last part, the author gives some recommendations resulting from the findings of this research
Uncertainties in wave-driven longshore sediment transport projections presented by a dynamic CMIP6-based ensemble
No full textIn this study four experiments were conducted to investigate uncertainty in future longshore sediment transport (LST) projections due to: working with continuous time series of CSIRO CMIP6-driven waves (experiment #1) or sliced time series of waves from CSIRO-CMIP6-Ws and CSIRO-CMIP5-Ws (experiment #2); different wave-model-parametrization pairs to generate wave projections (experiment #3); and the inclusion/exclusion of sea level rise (SLR) for wave transformation (experiment #4). For each experiment, a weighted ensemble consisting of offshore wave forcing conditions, a surrogate model for nearshore wave transformation and eight LST models was used. The results of experiment # 1 indicated that the annual LST rates obtained from a continuous time series of waves were influenced by climate variability acting on timescales of 20-30 years. Uncertainty decomposition clearly reveals that for near-future coastal planning, a large part of the uncertainty arises from model selection and natural variability of the system (e.g., on average, 4% scenario, 57% model, and 39% internal variability). For the far future, the total uncertainty consists of 25% scenario, 54% model and 21% internal variability. Experiment #2 indicates that CMIP6 driven wave climatology yield similar outcomes to CMIP5 driven wave climatology in that LST rates decrease along the study area’s coast by less than 10%. The results of experiment #3 indicate that intra- and inter-annual variability of LST rates are influenced by the parameterization schemes of the wave simulations. This can increase the range of uncertainty in the LST projections and at the same time can limit the robustness of the projections. The inclusion of SLR (experiment #4) in wave transformation, under SSP1-2.6 and SSP5-8.5 scenarios, yields only meagre changes in the LST projections, compared to the case no SLR. However, it is noted that future research on SLR influence should include potential changes in nearshore profile shapes.Coastal Engineerin
Biocompatible 3D Printed Microneedles for Transdermal, Intradermal, and Percutaneous Applications
No full textMicroneedles (MNs) are playing an increasingly important role in biomedical applications, where minimally invasive methods are being developed that require imperceptible tissue penetration and drug delivery. To improve the integration of MNs in microelectromechanical devices, a high-resolution 3D printing technique is implemented. A reservoir with an array of hollow MNs is produced. The flow rate through the MNs is simulated and measured experimentally. The mechanical properties of the 3D printed material, such as elasticity modulus and yield strength, are investigated as functions of printing parameters, reaching maximum values of 1750.7 and 101.8 MPa, respectively. Analytical estimation of the MN buckling, fracture, and skin penetration forces is presented. Penetration tests of MNs into a skin-like material are conducted, where the piercing force ranges from 0.095 to 0.115 N, confirming sufficient stability of MNs. Furthermore, 200 and 400 μm-long MN arrays are used to successfully pierce and deliver into mouse skin with an average penetration depth of 100 and 180 μm, respectively. A biocompatibility assessment is performed, showing a high viability of HCT 116 cells cultured on top of the MN's material, making the developed MNs a very attractive solution for many biomedical applications.This work was funded and supported by King Abdullah University of Science and Technology (KAUST). The authors thank Dr. Simona Spinelli, Francesco Rottoli, and Stefano Pietro Mandaglio from the Animal Research Core Lab (ARCL) at KAUST for their assistance with the mouse piercing experiment
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