scholarly journals Analytical Evaluation of Resource Estimation in Web Application Services

2020 ◽  
Vol 25 (5) ◽  
pp. 683-690
Author(s):  
Suneetha Bulla ◽  
Chirra Venkata Rami Reddy ◽  
Panguluri Padmavathi ◽  
Turaka Padmasri
Keyword(s):  
Analytical Model ◽  
Web Application ◽  
Performance Metrics ◽  
Global Market ◽  
Cost And Cost Analysis ◽  
App Development ◽  
Cloud Datacenter ◽  
Web App ◽  
Virtual Data Center ◽  
Qos Performance

Cloud computing for web application is ubiquitous in the global market and represents a generic pattern because rapid elasticity and infrastructure scaling naturally lends itself to the needs of a virtual data center. Server requirement analysis depending on the workload play a very important role in web app development and it leads to availability of service to customer at any cost and cost analysis to the application provider. To achieve proper infrastructure scaling the minimal number of servers are have to satisfy and determine SLO. Thus this paper evaluates an analytical model to formulate prediction or estimation of required servers has to satisfy the QoS performance metrics such as throughput, utilization of cloud datacenter, request loss and required number of servers. The experimental model is used to validate correctness of the analytical model that was hosted on AWS cloud platform. Finally results have presented and conclusions are drawn.

A Database for Counterfeit Electronics and Automatic Defect Detection Based on Image Processing and Machine Learning

2016 ◽  
Author(s):  
Navid Asadizanjani ◽  
Sachin Gattigowda ◽  
Mark Tehranipoor ◽  
Domenic Forte ◽  
Nathan Dunn
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Integrated Circuits ◽  
Web Application ◽  
The United States ◽  
Global Market ◽  
Online Database ◽  
Ongoing Effort ◽  
Time Period ◽  
Physical Defects

Abstract Counterfeiting is an increasing concern for businesses and governments as greater numbers of counterfeit integrated circuits (IC) infiltrate the global market. There is an ongoing effort in experimental and national labs inside the United States to detect and prevent such counterfeits in the most efficient time period. However, there is still a missing piece to automatically detect and properly keep record of detected counterfeit ICs. Here, we introduce a web application database that allows users to share previous examples of counterfeits through an online database and to obtain statistics regarding the prevalence of known defects. We also investigate automated techniques based on image processing and machine learning to detect different physical defects and to determine whether or not an IC is counterfeit.

Modeling and Prediction of Foreign Currency Exchange Markets

2006 ◽  
pp. 139-151
Author(s):  
Joarder Kamruzzaman ◽  
Ruhul A. Sarker ◽  
Rezaul K. Begg
Keyword(s):  
Neural Network ◽  
Foreign Currency ◽  
Performance Metrics ◽  
Network Models ◽  
Research Direction ◽  
Global Market ◽  
Future Research ◽  
Neural Network Models ◽  
Currency Exchange

In today’s global market economy, currency exchange rates play a vital role in national economy of the trading nations. In this chapter, we present an overview of neural network-based forecasting models for foreign currency exchange (forex) rates. To demonstrate the suitability of neural network in forex forecasting, a case study on the forex rates of six different currencies against the Australian dollar is presented. We used three different learning algorithms in this case study, and a comparison based on several performance metrics and trading profitability is provided. Future research direction for enhancement of neural network models is also discussed.

scholarly journals A Versatile Coexistence Decision-Making System for Efficient TV Whitespace Sharing among Whitespace Objects

2017 ◽  
Vol 2017 ◽  
pp. 1-20
Author(s):  
M. Asif Raza ◽  
Zafar Iqbal ◽  
Sang-Seon Byun ◽  
Hyunduk Kang ◽  
Heung-No Lee
Keyword(s):  
Decision Making ◽  
Performance Metrics ◽  
Channel Allocation ◽  
System Throughput ◽  
System Quality ◽  
System A ◽  
Throughput Gain ◽  
Decision Making System ◽  
Qos Performance

A coexistence decision-making (CDM) system for efficient TV whitespace (TVWS) sharing among whitespace objects (WSOs) is introduced in this paper. The proposed system is considered versatile in functionality as it jointly takes care of three distinct channel allocation features: (a) optimizing system quality of service (QoS) performance metrics, (b) improving TVWS utility, and (c) satisfying WSO channel demands. Regarding system QoS performance metrics, the TVWS sharing problem is defined as an optimization problem with an aim to maximize the system throughput and minimize unfairness in allocation. Supporting the WSOs channel demands in a TVWS sharing problem is a multifold task which requires elaborate consideration in different aspects of the system performance. To this end, the variations of the SNR of wireless frequency channels which result in variable throughput gain of the WSOs are also taken care of in the proposed CDM system. A fast channel allocation algorithm is then designed that implements the TVWS sharing mechanism in a reasonable amount of time. Additionally, the proposed algorithm improves the TVWS utility by promoting a novel frequency reuse method by exploiting the inter-WSO interference information. Simulation results show the superiority of the proposed algorithm over existing TVWS sharing algorithms.

scholarly journals Data-Driven Intelligent Application for Youtube Video Popularity Analysis using Machine Learning and Statistics

2021 ◽  
Author(s):  
Wenxi Gao ◽  
Ishmael Rico ◽  
Yu Sun
Keyword(s):  
Machine Learning ◽  
Data Processing ◽  
Web Application ◽  
Data Driven ◽  
Accuracy Evaluation ◽  
Video Content ◽  
The Public ◽  
Left Behind ◽  
The World ◽  
Web App

People now prefer to follow trends. Since the time is moving, people can only keep themselves from being left behind if they keep up with the pace of time. There are a lot of websites for people to explore the world, but websites for those who show the public something new are uncommon. This paper proposes an web application to help YouTuber with recommending trending video content because they sometimes have trouble in thinking of the video topic. Our method to solve the problem is basically in four steps: YouTube scraping, data processing, prediction by SVM and the webpage. Users input their thoughts on our web app and computer will scrap the trending page of YouTube and process the data to do prediction. We did some experiments by using different data, and got the accuracy evaluation of our method. The results show that our method is feasible so people can use it to get their own recommendation.

scholarly journals Pixel: a content management platform for quantitative omics data

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6623 ◽  
Author(s):  
Thomas Denecker ◽  
William Durand ◽  
Julien Maupetit ◽  
Charles Hébert ◽  
Jean-Michel Camadro ◽  
...  
Keyword(s):  
Web Application ◽  
Content Management ◽  
Biological Information ◽  
Functional Tests ◽  
Single Experiment ◽  
Code Coverage ◽  
Development Platform ◽  
Management Platform ◽  
Strategic Position ◽  
Web App

Background In biology, high-throughput experimental technologies, also referred as “omics” technologies, are increasingly used in research laboratories. Several thousands of gene expression measurements can be obtained in a single experiment. Researchers are routinely facing the challenge to annotate, store, explore and mine all the biological information they have at their disposal. We present here the Pixel web application (Pixel Web App), an original content management platform to help people involved in a multi-omics biological project. Methods The Pixel Web App is built with open source technologies and hosted on the collaborative development platform GitHub (https://github.com/Candihub/pixel). It is written in Python using the Django framework and stores all the data in a PostgreSQL database. It is developed in the open and licensed under the BSD 3-clause license. The Pixel Web App is also heavily tested with both unit and functional tests, a strong code coverage and continuous integration provided by CircleCI. To ease the development and the deployment of the Pixel Web App, Docker and Docker Compose are used to bundle the application as well as its dependencies. Results The Pixel Web App offers researchers an intuitive way to annotate, store, explore and mine their multi-omics results. It can be installed on a personal computer or on a server to fit the needs of many users. In addition, anyone can enhance the application to better suit their needs, either by contributing directly on GitHub (encouraged) or by extending Pixel on their own. The Pixel Web App does not provide any computational programs to analyze the data. Still, it helps to rapidly explore and mine existing results and holds a strategic position in the management of research data.

scholarly journals E-commerce Web App in Azure Cloud: Considerations, Components of Implementation and Schematic Design

2021 ◽  
Vol 14 (4) ◽  
pp. 32
Author(s):  
Rasha Al-Mahrouqi ◽  
Khalsa Al Siyabi ◽  
Amani Al Nabhani ◽  
Salma Al-Hashemi ◽  
Shoukath Ali Muhammed
Keyword(s):  
Web Application ◽  
Transition Period ◽  
Cost Effective ◽  
Development Project ◽  
Cloud Services ◽  
Application Development ◽  
Careful Planning ◽  
Digital Strategy ◽  
Web App ◽  
Schematic Design

Consumers shifted their spending to the web due to the coronavirus (Covid-19) outbreak. Businesses and organizations that once mapped digital strategy with careful planning over a transition period, now forced to scale their initiatives in a matter of days. In this regard, we are motivated by the need to develop a scalable, highly available, resilient, secure, and cost-effective e-commerce web application for demonstrating how cloud services can be leveraged for implementing such applications. This paper is a part of the aforementioned web application development project, titled “A cloud-based e-commerce storefront prototype for SMEs in Oman”. In this paper, we discuss the system considerations, components of implementation, and the schematic design of the proposed software solution. This paper provides meaningful guidelines for companies that want to adopt cloud-based E-commerce web application to bring their products and services online without much upfront cost or initial investment.

scholarly journals COVIDrugNet: a network-based web tool to investigate the drugs currently in clinical trial to contrast COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luca Menestrina ◽  
Chiara Cabrelle ◽  
Maurizio Recanatini
Keyword(s):  
Clinical Trial ◽  
Web Application ◽  
Drug Target ◽  
Unmet Need ◽  
Target System ◽  
Holistic View ◽  
Online Tool ◽  
Clinical Drug Research ◽  
Web App ◽  
Clinical Drug

AbstractThe COVID-19 pandemic poses a huge problem of public health that requires the implementation of all available means to contrast it, and drugs are one of them. In this context, we observed an unmet need of depicting the continuously evolving scenario of the ongoing drug clinical trials through an easy-to-use, freely accessible online tool. Starting from this consideration, we developed COVIDrugNet (http://compmedchem.unibo.it/covidrugnet), a web application that allows users to capture a holistic view and keep up to date on how the clinical drug research is responding to the SARS-CoV-2 infection. Here, we describe the web app and show through some examples how one can explore the whole landscape of medicines in clinical trial for the treatment of COVID-19 and try to probe the consistency of the current approaches with the available biological and pharmacological evidence. We conclude that careful analyses of the COVID-19 drug-target system based on COVIDrugNet can help to understand the biological implications of the proposed drug options, and eventually improve the search for more effective therapies.

scholarly journals CemGEMS – an easy-to-use web application for thermodynamic modeling of cementitious materials

2021 ◽  
Vol 6 ◽  
pp. 36-52
Author(s):  
Dmitrii A. Kulik ◽  
Frank Winnefeld ◽  
Anton Kulik ◽  
George Dan Miron ◽  
Barbara Lothenbach
Keyword(s):  
User Interfaces ◽  
Web Application ◽  
Cementitious Materials ◽  
Thermodynamic Modelling ◽  
Training Time ◽  
Server Side ◽  
Thermodynamic Simulations ◽  
Web App ◽  
The Impact ◽  
Thermodynamic Equilibrium Calculations

Thermodynamic equilibrium calculations for cementitious materials enable predictions of stable phases and solution composition. In the last two decades, thermodynamic modelling has been increasingly used to understand the impact of factors such as cement composition, hydration, leaching, or temperature on the phases and properties of a hydrated cementitious system. General thermodynamic modelling codes such as GEM-Selektor have versatile but complex user interfaces requiring a considerable learning and training time. Hence there is a need for a dedicated tool, easy to learn and to use, with little to no maintenance efforts. CemGEMS (https://cemgems.app) is a free-to-use web app developed to meet this need, i.e. to assist cement chemists, students and industrial engineers in easily performing and visualizing thermodynamic simulations of hydration of cementitious materials at temperatures 0-99 °C and pressures 1-100 bar. At the server side, CemGEMS runs the GEMS code (https://gems.web.psi.ch) using the PSI/Nagra and Cemdata18 chemical thermodynamic data-bases (https://www.empa.ch/cemdata). The present paper summarizes the concepts of CemGEMS and its template data, highlights unique features of value for cement chemists that are not available in other tools, presents several calculated examples related to hydration and durability of cementitious materials, and compares the results with thermodynamic modelling using the desktop GEM-Selektor code.

scholarly journals S-TFRC: An efficient rate control scheme for multimedia handovers

2016 ◽  
Vol 13 (1) ◽  
pp. 45-69 ◽  
Author(s):  
Imdad Ullah ◽  
Zawar Shah ◽  
Adeel Baig
Keyword(s):  
Analytical Model ◽  
Rate Control ◽  
Performance Metrics ◽  
Multimedia Applications ◽  
Mobility Patterns ◽  
Transmission Delays ◽  
Vertical Handovers ◽  
Control Scheme ◽  
Handover Process ◽  
Service Disruption

The integration of heterogeneous wireless access technologies has numerous issues for multimedia applications, such as to smoothly continue over new connections without any service disruption during vertical handovers. We propose State-Aware Feedback extension to Datagram Congestion Control Protocol (DCCP) that meets QoS requirements of multimedia applications throughout the handover process. We consider movement of mobile subscribers among heterogeneous access technologies from highly unstable to more stable environment and model their mobility patterns as Uniform, Pareto, and Exponentially distributed. We present detailed analysis on the performance of proposed mechanism in terms of resuming transmissions during the handover process. In particular, we propose Markov model of TFRC capturing TCP timeouts, loss rates, and no-feedback timer expirations. We validate the proposed analytical model through simulations and show that it accurately predicts various congestion events that may happen during the handover process. We then evaluate the performance of S-TFRC via both simulations and analytical model and observe the sender rates and throughputs achieved. We also consider transmission delays and transmission rates as performance metrics and compare performance of S-TFRC with the standard TFRC. Our results show that S-TFRC is capable of providing better QoS to multimedia applications than standard TFRC by significantly reducing transmission delays and provides better throughput to multimedia applications.

Sign in / Sign up

Export Citation Format

Share Document