Authentication Based On Blockchain,
2020
Embry-Riddle Aeronautical University
Authentication Based On Blockchain, Norah Alilwit
Doctoral Dissertations and Master's Theses
Across past decade online services have enabled individuals and organizations to perform different types of transactions such as banking, government transactions etc. The online services have also enabled more developments of applications, at cheap cost with elastic and scalable, fault tolerant system. These online services are offered by services providers which are use authentication, authorization and accounting framework based on client-server model. Though this model has been used over decades, study shows it is vulnerable to different hacks and it is also inconvenient to use for the end users. In addition, the services provider has total control over user data …
Analysing User Experience Of Mobile Banking Applications In Nigeria: A Text Mining Approach,
2020
Central Bank of Nigeria
Analysing User Experience Of Mobile Banking Applications In Nigeria: A Text Mining Approach, Omotosho Babatunde S.
CBN Journal of Applied Statistics (JAS)
This paper analyses textual data mined from 37,460 reviews written by mobile banking application users in Nigeria over the period November 2012 – July 2020. On a scale of 1 to 5 (5 being the best), the average user rating for the twenty-two apps included in our sample is 3.5; with the apps deployed by non-interest banks having the highest average rating of 4.0 and those by commercial banks with national authorisation having the least rating of 3.4. Results from the sentiment analysis reveal that the share of positive sentiment words (17.8%) in the corpus more than double that of …
Pedagogy Of The Pandemic: A Case Study Of Emergency Remote Education In A Private Higher Education Institution In Egypt,
2020
The British University in Egypt (BUE)
Pedagogy Of The Pandemic: A Case Study Of Emergency Remote Education In A Private Higher Education Institution In Egypt, Rania M Rafik Khalil, Shadia Fahim, Wadouda Badran, Hadia Fakhreldin, Maguid Hassan, Hani Ghali, Attia Attia, Sarah Khalil, Hassan Abdelhamid, Yasmine Abdel Moneim, Omar H. Karam
English Language and Literature
COVID19 caught almost every higher education institution off guard. The pandemic interrupted the teaching and learning process and required immediate implementation of emergency remote learning strategies. Teaching pedagogy turned to new ways of thinking about learning. Consequently, both academic staff and students had to adapt without warning to the challenges of teaching with advanced technology from home which was taking the world by storm. Overcoming this challenge in Egypt has been much easier for private universities in comparison to state universities because of the availability of facilities, funding, smaller cohorts and validation by partner western universities. This paper shares reflections …
Bibliometric Analysis Of Firefly Algorithm Applications In The Field Of Wireless Sensor Networks,
2020
Symbiosis Institute of Technology, Symbiosis International (Deemed University)
Bibliometric Analysis Of Firefly Algorithm Applications In The Field Of Wireless Sensor Networks, Anupkumar M. Bongale Dr., Rahul Raghvendra Joshi Prof., Kalyani Dhananjay Kadam Prof.
Library Philosophy and Practice (e-journal)
Wireless Sensor Network is a network of wireless sensor nodes that are capable of sensing information from their surroundings and transmit the sensed information to data collection point known as a base station. Applications of wireless sensor networks are large in number and forest fire detection, landslide monitoring, etc. are few applications to note. The research challenges in wireless sensor networks is the transmission of data from the sensor node to the base station in an energy-efficient manner and network life prolongation. Cluster-based routing techniques are extensively adopted to address this research challenge. Researchers have used different metaheuristic and soft …
The Effect Of Information Technology Audit For E-Health Of Indonesia Using Itil Framework V.3 Domain Service Design,
2020
Airlangga University Of Surabaya, Indonesia
The Effect Of Information Technology Audit For E-Health Of Indonesia Using Itil Framework V.3 Domain Service Design, Eva Mufidah, Ilham M, Anis Eliyana, Tanti Handriana, Indrianawati Usman
Library Philosophy and Practice (e-journal)
This study explain about E-Health Surabaya is a web-based health service technology application that is used to help people register as patients in hospitals and health centers. Although its function is very useful, there are also people who still do not understand how to use this application, there are also some shortcomings that cause inconvenience in its use. So that research is conducted in which the application uses ITIL V.3 framework with Domain Service Design to conduct an audit of the maturity level of this E-Health Surabaya Web Application. ITIL (Information Technology Infrastructure Technology) is a framework used to manage …
Monitoring Of Remote Hydrocarbon Wells Using Azure Internet Of Things,
2020
Louisiana State University and Agricultural and Mechanical College
Monitoring Of Remote Hydrocarbon Wells Using Azure Internet Of Things, Derek W. Staal
LSU Master's Theses
Remote monitoring of hydrocarbon wells is a tedious and meticulously thought out task performed to create a cyber-physical bridge between the asset and the owner. There are many systems and techniques on the market that offer this solution but due to their lack of interoperability and/or decentralized architecture they begin to fall apart when remote assets become farther away from the client. This results in extreme latency and thus poor decision making. Microsoft's Azure IoT Edge was the focus of this writing. Coupled with off-the-shelf hardware, Azure's IoT Edge services were integrated with an existing unit simulating a remote hydrocarbon …
Blockchain Based Communication Architectures With Applications To Private Security Networks,
2020
University of New Mexico
Blockchain Based Communication Architectures With Applications To Private Security Networks, Ashley N. Mayle
Computer Science ETDs
Existing communication protocols in security networks are highly centralized. While this naively makes the controls easier to physically secure, external actors require fewer resources to disrupt the system because there are fewer points in the system can be interrupted without the entire system failing. We present a solution to this problem using a proof-of-work-based blockchain implementation built on MultiChain. We construct a test-bed network containing visual imagers and microwave sensor information. These data types are ubiquitous in perimeter security systems and allow a realistic representation of a real-world network architecture. The cameras in this system use an object detection algorithm …
Incentivization In Mobile Edge Computing Using A Full Bayesian Approach,
2020
University of New Mexico - Main Campus
Incentivization In Mobile Edge Computing Using A Full Bayesian Approach, Sean Lebien
Electrical and Computer Engineering ETDs
The advances of multi-access edge computing (MEC) have paved the way for the integration of the MEC servers, as intelligent entities into the Internet of Things (IoT) environment as well as into the 5G radio access networks. In this thesis, a novel artificial intelligence-based MEC servers’ activation mechanism is proposed, by adopting the principles of Reinforcement Learning (RL) and Bayesian Reasoning. The considered problem enables the MEC servers’ activation decision-making, aiming at enhancing the reputation of the overall MEC system, as well as considering the total computing costs to serve efficiently the users’ computing demands, guaranteeing at the same time …
A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques,
2020
Department of Computer Science & Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, India
A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra
Karbala International Journal of Modern Science
An energy-efficient sensor cloud model is proposed based on the combination of prediction and forecasting methods. The prediction using Artificial Neural Network (ANN) with single activation function and forecasting using Autoregressive Integrated Moving Average (ARIMA) models use to reduce the communication of data. The requests of the users generate in every second. These requests must be transferred to the wireless sensor network (WSN) through the cloud system in the traditional model, which consumes extra energy. In our approach, instead of one second, the sensors generally communicate with the cloud every 24 hours, and most of the requests reply using the …
Analysis Of Cloud Bursting On Openstack Infrastructure To Aws,
2020
Harrisburg University of Science and Technology
Analysis Of Cloud Bursting On Openstack Infrastructure To Aws, Bao Pham, Ronald C. Jones, Majid Shaalan
Other Student Works
Cloud computing is the development of distributed and parallel computing that seeks to provide a new model of business computing by automating services and efficiently storing proprietary data. Cloud bursting is one of the cloud computing techniques that adopts the hybrid cloud model which seeks to expand the resources of a private cloud through the integration with a public cloud infrastructure. In this paper, the viability of cloud bursting is experimented and an attempt to integrate AWS EC2 onto an Openstack cloud environment using the Openstack OMNI driver is conducted.
Poland’S Challenge To Eu Directive 2019/790: Standing Up To The Destruction Of European Freedom Of Expression,
2020
Penn State Dickinson Law
Poland’S Challenge To Eu Directive 2019/790: Standing Up To The Destruction Of European Freedom Of Expression, Michaela Cloutier
Dickinson Law Review (2017-Present)
In 2019, the European Parliament and Council passed Directive 2019/790. The Directive’s passage marked the end of a fouryear- long legislative attempt to impose more liability for copyright violations on Online Service Providers, an effort which was controversial from the start. Online Service Providers fear that the 2019 Directive, especially its Article 17, will completely change the structure of liability on the Internet, forcing providers to adopt expensive content filtering systems. Free speech advocates fear that ineffective filtering technology will infringe upon Internet users’ rights to express themselves, and legal scholars have pointed out the Directive’s inconsistency with prior European …
A Novel Framework Using Neutrosophy For Integrated Speech And Text Sentiment Analysis,
2020
University of New Mexico
A Novel Framework Using Neutrosophy For Integrated Speech And Text Sentiment Analysis, Florentin Smarandache, Kritika Mishra, Ilanthenral Kandasamy, Vasantha Kandasamy W.B.
Branch Mathematics and Statistics Faculty and Staff Publications
With increasing data on the Internet, it is becoming difficult to analyze every bit and make sure it can be used efficiently for all the businesses. One useful technique using Natural Language Processing (NLP) is sentiment analysis. Various algorithms can be used to classify textual data based on various scales ranging from just positive-negative, positive-neutral-negative to a wide spectrum of emotions. While a lot of work has been done on text, only a lesser amount of research has been done on audio datasets. An audio file contains more features that can be extracted from its amplitude and frequency than a …
Peer-Inspired Student Performance Prediction In Interactive Online Question Pools With Graph Neural Network,
2020
Singapore Management University
Peer-Inspired Student Performance Prediction In Interactive Online Question Pools With Graph Neural Network, Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin. Qu
Research Collection School Of Computing and Information Systems
Student performance prediction is critical to online education. It can benefit many downstream tasks on online learning platforms, such as estimating dropout rates, facilitating strategic intervention, and enabling adaptive online learning. Interactive online question pools provide students with interesting interactive questions to practice their knowledge in online education. However, little research has been done on student performance prediction in interactive online question pools. Existing work on student performance prediction targets at online learning platforms with predefined course curriculum and accurate knowledge labels like MOOC platforms, but they are not able to fully model knowledge evolution of students in interactive online …
The Role Of Network Components In Improving The Reliability And Survivability Of Mobile Communication Networks,
2020
Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi, Uzbekistan
The Role Of Network Components In Improving The Reliability And Survivability Of Mobile Communication Networks, Dilmurod Davronbekov, Utkir Karimovich Matyokubov
Acta of Turin Polytechnic University in Tashkent
This article compares the different architectures of mobile communication networks (MCN) and examines the survivability of the network. Typical survival strategies for improving MCN survivability, failure mitigation strategies for network elements, wireless network survival rates, failure scenarios at MCN levels, and survival indicators are presented. The importance of fiber-optic communication in the construction of communication lines between MCN components has been studied. The issue of designing MCNs in a cost-effective and highly viable way is considered, and the necessary expressions of the design process are given.
A Statistical Impulse Response Model Based On Empirical Characterization Of Wireless Underground Channel,
2020
Purdue University
A Statistical Impulse Response Model Based On Empirical Characterization Of Wireless Underground Channel, Abdul Salam, Mehmet C. Vuran, Suat Irmak
Computer Information Technology Faculty Publications
Wireless underground sensor networks (WUSNs) are becoming ubiquitous in many areas. The design of robust systems requires extensive understanding of the underground (UG) channel characteristics. In this paper, an UG channel impulse response is modeled and validated via extensive experiments in indoor and field testbed settings. The three distinct types of soils are selected with sand and clay contents ranging from $13\%$ to $86\%$ and $3\%$ to $32\%$, respectively. The impacts of changes in soil texture and soil moisture are investigated with more than $1,200$ measurements in a novel UG testbed that allows flexibility in soil moisture control. Moreover, the …
Security Analysis Of The Anonabox Pro,
2020
Louisiana State University
Security Analysis Of The Anonabox Pro, Devi Sowjanya Vempati
LSU Master's Theses
The security posture of critical network appliances, such as routers, switches, and firewalls, is crucial as these devices provide the first line of defense against malicious actors. As there is typically no endpoint security software, such as anti-virus available for these devices, it is crucial that vendors release timely updates for vulnerabilities and that customers apply them quickly. The research effort documented in this thesis describes a developed methodology for triaging known vulnerabilities in network devices, assessing the security posture of device vendors, and locating likely weak points in released firmware images. To highlight this methodology, the Anonabox security appliance …
Direct Digital Synthesis: A Flexible Architecture For Advanced Signals Research For Future Satellite Navigation Payloads,
2020
Air Force Institute of Technology
Direct Digital Synthesis: A Flexible Architecture For Advanced Signals Research For Future Satellite Navigation Payloads, Pranav R. Patel
Theses and Dissertations
In legacy Global Positioning System (GPS) Satellite Navigation (SatNav) payloads, the architecture does not provide the flexibility to adapt to changing circumstances and environments. GPS SatNav payloads have largely remained unchanged since the system became fully operational in April 1995. Since then, the use of GPS has become ubiquitous in our day-to-day lives. GPS availability is now a basic assumption for distributed infrastructure; it has become inextricably tied to our national power grids, cellular networks, and global financial systems. Emerging advancements of easy to use radio technologies, such as software-defined radios (SDRs), have greatly lowered the difficulty of discovery and …
Joint 1d And 2d Neural Networks For Automatic Modulation Recognition,
2020
Air Force Institute of Technology
Joint 1d And 2d Neural Networks For Automatic Modulation Recognition, Luis M. Rosario Morel
Theses and Dissertations
The digital communication and radar community has recently manifested more interest in using data-driven approaches for tasks such as modulation recognition, channel estimation and distortion correction. In this research we seek to apply an object detector for parameter estimation to perform waveform separation in the time and frequency domain prior to classification. This enables the full automation of detecting and classifying simultaneously occurring waveforms. We leverage a lD ResNet implemented by O'Shea et al. in [1] and the YOLO v3 object detector designed by Redmon et al. in [2]. We conducted an in depth study of the performance of these …
A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters,
2020
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Address: 108, Amir Temur st., 100200, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone:+998-94-343-54-91
A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters, Akmal Abdumalikov
Chemical Technology, Control and Management
The issues of continuity, accuracy, speed and reliability of signal conversion, which are the main problems of quality control and management of production processes, remain relevant. Research shows that in practice there are different signal variables, the study of which is highly formalized in a number of modeling tasks and basic classification studies, in particular transients in converters, its sources and elements requires a unified mathematical approach, that is, visual, highly formalized modeling and research based on it. The paper presents a graph model of multifunctional signal converters that provide microprocessor and electronic devices with signals in the form of …
A Fortran-Keras Deep Learning Bridge For Scientific Computing,
2020
University of California, Irvine
A Fortran-Keras Deep Learning Bridge For Scientific Computing, Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
Engineering Faculty Articles and Research
Implementing artificial neural networks is commonly achieved via high-level programming languages such as Python and easy-to-use deep learning libraries such as Keras. These software libraries come preloaded with a variety of network architectures, provide autodifferentiation, and support GPUs for fast and efficient computation. As a result, a deep learning practitioner will favor training a neural network model in Python, where these tools are readily available. However, many large-scale scientific computation projects are written in Fortran, making it difficult to integrate with modern deep learning methods. To alleviate this problem, we introduce a software library, the Fortran-Keras Bridge (FKB). This two-way …
