261 research outputs found
Neural Network Approaches for Defect Detection in Composite Materials
No full textThe problem of detecting internal defects in composite materials is felt to be unavoidable in many industrial contexts both for quality control of production lines and for maintenance operations during in-service inspections. Among nondestructive techniques, thermographic image analysis has received much attention for the inspection of composite materials. In this chapter, we address the problem of developing neural network approaches for an automatic system of defect detection by the analysis of sequences of thermographic images. Neural networks are very promising because they offer the opportunity to associate input signals to output classes even in the case of nonlinear mapping. In particular, we have considered supervised and unsupervised approaches for training neural network and we have discussed the pros and cons of their applicability in systems that could help safety inspectors in the diagnosis of problems
Protect Against Phishing Scams
No full textAbstract: Phishing is an act of luring unsuspecting recipient of a message into revealing information which can be used against the recipient. Email is the most common medium of creating a Phishing attack against individuals and organizations. Phishing is a type of social engineering attempt, usually via emails, designed to trick the recipient. These attacks often result in malicious software getting deployed, steal user data including credentials or financial data, and victimize the entire infrastructure for ransom etc. First step in preventing this attack is to identify what a Phishing attempt is, to report it, and take similar actions for others. The golden rule of prevention is when you are in doubt, do not open that email, download its attachments or click on any hyperlinks inside.
Keywords: Phishing, Spam, Email, Malware, Social Engineering.
Title: Protect Against Phishing Scams
Author: Junaid Jan, Mohammed Mujtaba, Qasim T. Zaidi, Zaki S. Ahmed
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 10, Issue 2, April 2022 - June 2022
Page No: 82-86
Research Publish Journals
Website: www.researchpublish.com
Published Date: 07-June-2022
DOI: https://doi.org/10.5281/zenodo.6616588
Paper Download Link (Source)
https://www.researchpublish.com/papers/protect-against-phishing-scamsInternational Journal of Computer Science and Information Technology Research, (IJCSITR), ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals (Publisher), Website: www.researchpublish.co
2023 Award Winner Bahaudin Mujtaba
No full textArts, Business, Humanities, Law, and Social Sciences
Professor Award
Bahaudin Mujtaba, H. Wayne Huizenga College of Business and Entrepreneurship, is a Professor of Human Resources and International Management. He is the author and coauthor of books dealing with diversity, ethics, and business management, and his contributions to his field are significant. During the past thirty years, he has worked with managers and human resource professionals in almost 20 countries, and this diverse exposure has provided him with many insights in cross-cultural management from the perspectives of different firms, people groups, and cultures. With an extensive publication record and thousands of citations covering topics such as business, change, culture, ethics, diversity, and others, his work is highly collaborative with over 50 different coauthors drawn from NSU, the United States, and abroad. His books and guidance are sought and frequently used by companies, professors, and the media. He served as a cultural consultant for the movie Kite Runner and in 2018 did pro bono training and development work in Afghanistan on topics of adult learning, leadership, and ethics.https://nsuworks.nova.edu/provost_research_award/1018/thumbnail.jp
Reverse osmosis desalination process : water permeability constant assessment
No full textLAUREA MAGISTRALEDopo un'introduzione sul processo di dissalazione, le sue metodologie e configurazioni, questo lavoro di tesi investiga le prestazioni di un impianto di dissalazione a osmosi inversa. Gli esperimenti sono svolti in un sistema batch, nel quale viene considerato il ricircolo dell'acqua salata di scarto nel bacino di alimentazione. Le prestazioni sono quindi valutate in termini di quantità di acqua dissalata uscente e relativa salinità, in funzione di alcuni parametri operativi come per esempio pressione e salinità dell'alimentazione. Inoltre, vengono studiati il fenomeno della concentration polarization e il meccanismo di trasporto di sale attraverso la membrana. Ulteriore attenzione è stata spesa sullo studio della costante di permeabilità dell'acqua, essendo un parametro chiave che riguarda il flusso di acqua dissalata prodotta. Una delle osservazioni più importanti fatte in questa sezione è una forte dipendenza della permeabilità dell'acqua dalla salinità dell'alimentazione, che è sempre stata ignorata in letteratura dagli autori che hanno studiato questo aspetto del processo, che si sono concentrati solo sulla sua diminuzione con il tempo dovuta allo sporcamento. In aggiunta, viene proposto un sistema di equazioni algebrico-differenziale per modellare il sistema batch a osmosi inversa. Quando vengono introdotte nel modello delle espressioni per la permeabilità dell'acqua e del sale dipendenti dalla salinità dell'alimentazione, i risultati della simulazione combaciano meglio con quelli sperimentali, mettendo in evidenza il fatto che tale dipendenza dovrebbe di fatto essere considerato durante la modellazione del processo.
In modo da aver un occhio più critico sulle prestazioni del sistema batch, sono stati condotti ulteriori esperimenti con una salinità dell'alimentazione mantenuta costante (in modo da riprodurre il caso di un'operazione in continuo) e i risultati sono stati dunque confrontati con il caso batch.
La costante di permeabilità dell'acqua (K_w) è uno dei parametri più importanti che riguarda un progetto efficiente e l'operabilità di un processo RO; deve quindi essere valutata in modo appropriato. Per un dato tipo di membrana, K_w decresce gradualmente con l'aumento della pressione operativa, della salinità dell'alimentazione e dello sporcamento (dovuto all'impaccamento di sale). Questa diminuzione porta a un minor flusso attraverso la membrane e deve quindi essere tenuto in considerazione quando si progetta un impianto RO di dissalazione. Ci sono solo due correlazioni disponibili in letteratura per calcolare la K_w dinamica. Comunque, esse sono applicabili solo per un dato tipo di membrana e salinità dell'alimentazione specifica su un intervallo di pressione operativa.
In questo lavoro, usando i dati generati dalle due correlazioni esistenti, è stata sviluppata una correlazione dipendente dal tempo basata su una rete neurale artificiale (ANN) per predire K_w in un processo di dissalazione in caso di avvenuto sporcamento. Il risultato è che la correlazione ANN riesce a predire dei valori della K_w molto vicini a quelli predetti dalle correlazioni disponibili in letteratura per lo stesso tipo di membrana, intervallo di pressione operativa e salinità della alimentazione. Comunque, la nuova caratteristica di questa correlazione è che essa è in grado di predire la K_w per entrambi i tipi di membrane e per ogni valore di salinità dell'alimentazione e pressione, all'interno di un vasto intervallo. Inoltre, per la prima volta, viene messo in evidenza l'effetto della salinità dell'alimentazione sulla K_w. Durante lo sviluppo della correlazione, viene simulato un numero di diverse architetture neurali in termini di numero di strati nascosti e numero di neuroni in ciascuno strato, e l'influenza delle funzioni di trasferimento è analizzata. Le correlazioni basate su una ANN possono essere aggiornate in modo affidabile tramite un nuovo set di pesi e bias per la stessa architettura neurale, o una nuova basata su un nuovo set di dati di input.After an introduction about the desalination process, its methodologies and configuration, this work assesses the performance of a reverse osmosis desalination process. The experiments are conducted in a batch system, where the recirculation of the brine in the feed tank is considered. The performance is evaluated in terms of permeate quantity and salinity as a function of other operating parameters such as pressure and feed salinity. The concentration polarization mechanism and the salt transport phenomenon across the membrane are also studied. Special attention is paid to the water permeability constant, which is an important parameter that affects the permeate flux. One of the most important observation in this section is a strong salinity dependence on the water permeability constant, which was always neglected or ignored in the literature from authors that studied this aspect of the process considering only the water permeability decay with the time due to the fouling phenomena. In addition, a system of differential-algebraic equations is proposed to model the batch reverse osmosis system. If feed salinity dependencies for water and salt permeability constants are introduced in the model, the simulation results better match the experimental results, proving that in modeling the desalination process, such dependence should be considered.
In order to better quantify the batch performance, further experiments were conducted with a constant feed salinity (to reproduce the operating condition of continuous systems) and the results were compared with the batch system.
The water permeability constant, (K_w) is one of many important parameters that affect optimal design and operation of RO processes; it should therefore be evaluated in an appropriate way. For a given membrane type, K_w gradually decreases with increasing the operating pressure, feed salinity and fouling (due to build up of salt). This decay results in less flux through the membrane and should be taken into account when designing a RO desalination plant. There are only two available literature correlation calculating the dynamic K_w values. However, each of them are only applicable for a given membrane type and given feed salinity over a certain operating pressure range.
In this work, using the data generated by these two existing correlations, we develop a time dependent artificial neural network (ANN) based correlation to predict K_w in RO desalination processes under fouling conditions. It is found that the ANN based correlation can predict the K_w values very closely to those obtained by the existing correlations for the same membrane type, operating pressure range and feed salinity. However, the novel feature of this correlation is that it is able to predict K_w values for any of the two membrane types, for any operating pressure and any feed salinity within a wide range. In addition, for the first time the effect of feed salinity on K_w values at low pressure operation is reported. While developing the correlation, a number of different neural network architectures in terms of number of hidden layers and number of neurons in each layer are simulated, and the influence of the transfer functions is eventually investigated. ANN based correlations can be updated reliably in terms of new sets of weights and biases for the same architecture or for a new architecture, with new plant data
Muslim Public Opinion Toward the International Order [electronic resource] : Support for International and Regional Actors /
No full textThis book analyses the attitudes of Muslim citizens toward international and regional actors. In essence, the project examines whether Muslim public opinion is in favor of the current international order and if there is an ideal type of international governance perceived by Muslim citizens. The author connects the analysis to the literature of international public opinion and to the research on social legitimacy of international and global governance. It is ideal for scholarly audiences interested in Islamic, International and Global Governance Studies. Mujtaba Ali Isani is a Post-Doctoral Fellow at the Department of Political Science at the University of Muenster, Germany.1. Chapter 1 Introduction and Historical Context -- 2. Chapter 2 Literature Review, Theory and Methods -- 3. Chapter 3 Muslim Attitudes Toward the UN -- 4. Chapter 4 The Arab League and the GCC: Failures of Regional Organization in the Muslim World? -- 5. Chapter 5 Support for the Global Caliphate as Alternative -- 6. Chapter 6 Conclusion: ASEAN as a Successful Regional Organization? OIC as an Alternative to the Caliphate? Revisiting the Main Puzzles .This book analyses the attitudes of Muslim citizens toward international and regional actors. In essence, the project examines whether Muslim public opinion is in favor of the current international order and if there is an ideal type of international governance perceived by Muslim citizens. The author connects the analysis to the literature of international public opinion and to the research on social legitimacy of international and global governance. It is ideal for scholarly audiences interested in Islamic, International and Global Governance Studies. Mujtaba Ali Isani is a Post-Doctoral Fellow at the Department of Political Science at the University of Muenster, Germany
Transesterification kinetics and process optimisation for biodiesel synthesis. An experimental & theoretical study
No full textLAUREA MAGISTRALEIn questo lavoro di tesi, si studia la reazione di produzione di biodiesel. Sono analizzati due aspetti: la cinetica della transesterificazione e il cambiamento di viscosità durante la reazione. L’esperimento è stato condotto usando un misuratore di pH per monitorare la conversione e un sistema di rilevazione di ultrasuoni per valutare la velocità di propagazione: Il meccanismo di reazione è noto ma le costanti di velocità cinetica presenti in letteratura non descrivono in maniera appropriata il processo. La stima delle nuove costanti cinetiche e l’ottimizzazione del processo sono effettuate con il software gPROMS. Allo stesso tempo, è stata trovata la relazione tra la conversione e il numero di capillarità.The present work investigates the reaction to produce biodiesel from sunflower oil. Two aspects are analyzed: the kinetics of the transesterification and the viscosity dynamics during the reaction. The experiment is carried out using pH measurements to monitor the conversion and ultrasound equipment to record the velocity of propagation. The kinetic mechanism is well known but the kinetic rate constants present in the literature do not describe properly the process. An estimation of the kinetic rate constants and an optimization of the process are run, using gPROMS modelling software. A correlation between the conversion and the capillary number is also proposed
Intensification and optimization of biodiesel production using ultrasound-assisted acid-organo-catalysed transesterification process
No full textLAUREA MAGISTRALELa crescente domanda di alternative energetiche sostenibili ed ecocompatibili ha reso il biodiesel un promettente combustibile rinnovabile. Tuttavia, i metodi convenzionali di produzione del biodiesel presentano sfide significative, come l’elevato consumo energetico, i lunghi tempi di reazione e le difficoltà nel trattamento di materie prime con un alto contenuto di acidi grassi liberi (FFA). Questo studio esplora l'intensificazione e l'ottimizzazione della produzione di biodiesel utilizzando un processo di transesterificazione catalizzato da acido organico e assistito dagli ultrasuoni.
L'acido dodecilbenzensolfonico (DBSA), un catalizzatore organico acido, è stato impiegato in combinazione con l'irradiazione ultrasonica per migliorare la cinetica della reazione e aumentare la resa del biodiesel. È stata utilizzata una progettazione composita centrale (CCD) nell'ambito della metodologia delle superfici di risposta (RSM) per valutare e ottimizzare i principali parametri di reazione, tra cui la temperatura di reazione, il rapporto molare catalizzatore-olio e il rapporto molare metanolo-olio. La resa del biodiesel è stata analizzata mediante spettroscopia di risonanza magnetica nucleare del protone (1H NMR), garantendo una quantificazione accurata dell'efficienza di conversione.
I risultati hanno dimostrato che l'uso degli ultrasuoni ha migliorato significativamente il trasferimento di massa e ridotto i tempi di reazione rispetto ai metodi di agitazione convenzionali. Le condizioni di reazione ottimizzate hanno portato a un'elevata resa del biodiesel, con una maggiore efficienza energetica e un ridotto consumo di catalizzatore. L'analisi statistica ha confermato l'affidabilità del modello quadratico sviluppato nella previsione della conversione del biodiesel, con un elevato coefficiente di determinazione (R2). Inoltre, questo studio evidenzia il potenziale dell’integrazione della tecnologia a ultrasuoni con catalizzatori acidi organici come soluzione economicamente vantaggiosa e scalabile per la produzione di biodiesel.
In conclusione, questa ricerca contribuisce all’avanzamento della tecnologia del biodiesel, proponendo un approccio efficiente ed ecocompatibile alla sintesi del biodiesel. L'integrazione della transesterificazione assistita dagli ultrasuoni con catalizzatori acidi organici rappresenta una strategia promettente per una produzione di combustibili sostenibili, affrontando le principali sfide nella manifattura del biodiesel e supportando la transizione verso fonti di energia più ecologiche.The growing demand for sustainable and eco-friendly energy alternatives has positioned biodiesel as a promising renewable fuel. However, conventional biodiesel production methods face challenges such as high energy consumption, prolonged reaction times, and difficulties in processing feedstocks with high free fatty acid (FFA) content. This study explores the intensification and optimization of biodiesel production using an ultrasound-assisted acid-organo catalyzed transesterification process.
Dodecylbenzene Sulfonic acid (DBSA), an organic acid catalyst, was utilized in combination with ultrasound irradiation to enhance reaction kinetics and improve biodiesel yield. A central composite design (CCD) within the response surface methodology (RSM) framework was employed to evaluate and optimize key reaction parameters, including reaction temperature, catalyst-to-oil molar ratio, and methanol-to-oil molar ratio. The biodiesel yield was analyzed using proton nuclear magnetic resonance (1H NMR) spectroscopy, ensuring accurate quantification of conversion efficiency.
The findings demonstrated that ultrasound significantly enhanced mass transfer and reduced reaction time compared to conventional stirring methods. The optimized reaction conditions resulted in a high biodiesel yield, with improved energy efficiency and reduced catalyst consumption. Statistical analysis confirmed the reliability of the developed quadratic model in predicting biodiesel conversion, with a high coefficient of determination (R2). Furthermore, this study highlights the potential of integrating ultrasound technology with organic acid catalysis as a cost-effective and scalable solution for biodiesel production.
Overall, this research contributes to the advancement of biodiesel technology by offering an efficient and environmentally friendly approach to biodiesel synthesis. The integration of ultrasound-assisted transesterification with organic acid catalysts presents a viable pathway for sustainable fuel production, addressing key challenges in biodiesel manufacturing and supporting the transition toward greener energy sources
Newly isolated sporopollenin microcages from Platanus orientalis pollens as a vehicle for controlled drug delivery
No full textWOS: 000403381200030PubMed: 28532028Sporopollenin microcages were produced from the pollens of Platanus orientalis. Paracetamol was loaded into the microcages. Pollen, sporopollenin, paracetamol and paracetamol-loaded sporopollenin microcages were characterized with FT-IR, TGA and SEM. The analytical analyses demonstrated that sporopollenin microcages were structurally intact, highly reticulated and thermally stable. The loading efficiency of the sporopollenin microcages was found to be 8.2% using the passive loading technique and 23.7% via evaporating loading technique. In vitro release and kinetics studies were performed to test the suitability of sporopollenin microcages for loading. These studies revealed that sporopollenin from P. orientalis can be suggested as a suitable carrier for drug loading and controlled release studies. (C) 2017 Published by Elsevier B.V.Scientific and Technological Research Council of Turkey - Graduate Scholarship Programme for International Students [TUBITAK 2215]The first author would like to thank The Scientific and Technological Research Council of Turkey for supporting him during this study under the program number TUBITAK 2215 - Graduate Scholarship Programme for International Students
The Application Of Polymer Particles In Industrial Processes
No full textThe research in this thesis considers novel innovative developments in established
industrial processes that involve the use of recyclable polymeric particles as a
partial replacement for aqueous media and chemicals. The application of the
technology typically leads to water savings of over 80% and chemical savings of
over 25%. These industrial processes may be characterised in that are considered
inefficient and wasteful but nevertheless are considered economically vital. These
diverse industries including laundry cleaning, leather manufacturing, textile
garment processing, effluent treatment and metal beverage can manufacture.
The outcomes of this research have made significant contributions to industrial
best practice in such industries. In terms of academic research, the knowledge
created in this thesis provides the basis for the application of CFD-DEM modelling
to understand complex multi-phase and multi-component systems. In particular,
the thesis advocates the application of the Free Surface Lattice Boltzmann Method
for creating highly accurate simulations of multi-phase flow. In addition, the thesis
offers opportunities for further research in novel plasma micro-reactors and their
applications in diverse fields such as chemical synthesis, chemical engineering and
biotechnology. The nature of the research is multi-disciplinary, and involved
investigations across several fields including applied mathematics, biochemistry,
chemistry, physics, and engineering. The projects also involved scale up from
laboratory, pilot plant and full commercial scale production trials. Primary
objectives were investigated through a series of six published patents. The three
patents relating to the development of novel leather and textile processes were
solely conceived and executed by the author. The patent related to the
development of the plasma micro-reactor for ozone synthesis was conceived and
executed jointly by the author and Professor Will Zimmerman (Sheffield University).
The two patents related to the development of a novel metal cleaning and
treatment process was conceived and executed jointly by the author and Dr.
Robert Bird (Xeros Technology Group Limited)
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