This document summarizes a research project that aims to analyze fake rankings on the social media platform Twitter. The project uses semi-supervised learning techniques to assign credibility scores to Twitter posts based on factors like user comments, likes, and whether the content is image, video or text. Two algorithms, LDRI and word segmentation, are used to analyze language and classify content as credible or not credible. The proposed system is intended to help prevent the spread of fake or malicious information on social media by flagging questionable content.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Google Play, Apple App Store and Windows Phone Store are well known distribution platforms where users can download mobile apps, rate them and write review comments about the apps they are using. Previous research studies demonstrated that these reviews contain important information to help developers improve their apps. However, analyzing reviews is challenging due to the large amount of reviews posted every day, the unstructured nature of reviews and its varying quality. In this demo we present
ARdoc, a tool which combines three techniques: (1) Natural Language Parsing,(2) Text Analysis and (3) Sentiment Analysis to automatically classify useful feedback contained in app reviews important for performing software maintenance and evolution tasks. Our quantitative and qualitative analysis (involving mobile professional developers) demonstrates that ARdoc correctly classifies feedback useful for maintenance perspectives in user reviews with high precision (ranging between84% and 89%), recall (ranging between 84% and 89%), and an F-Measure (ranging between 84% and 89%). While evaluating our tool developers of our study confirmed the use-fulness of ARdoc in extracting important maintenance tasks for their mobile applications.
What Would Users Change in My App? Summarizing App Reviews for Recommending ...Sebastiano Panichella
Mobile app developers constantly monitor feedback in user reviews with the goal of improving their mobile apps and better
meeting user expectations. Thus, automated approaches have
been proposed in literature with the aim of reducing the effort
required for analyzing feedback contained in user reviews via
automatic classication/prioritization according to specific
topics. In this paper, we introduce SURF (Summarizer of
User Reviews Feedback), a novel approach to condense the
enormous amount of information that developers of popular
apps have to manage due to user feedback received on a
daily basis. SURF relies on a conceptual model for capturing
user needs useful for developers performing maintenance and
evolution tasks. Then it uses sophisticated summarisation
techniques for summarizing thousands of reviews and generating
an interactive, structured and condensed agenda of
recommended software changes. We performed an end-to-end
evaluation of SURF on user reviews of 17 mobile apps (5 of
them developed by Sony Mobile), involving 23 developers
and researchers in total. Results demonstrate high accuracy
of SURF in summarizing reviews and the usefulness of the
recommended changes. In evaluating our approach we found
that SURF helps developers in better understanding user
needs, substantially reducing the time required by developers
compared to manually analyzing user (change) requests and
planning future software changes.
This project "VULNERABLE HUNTER" application main aim is to detect risk in our mobile applications. This
application contains modules like Fetch Application, Generate Score, Uninstall and Display Graph. Through this
application it detects risk so that this application is very useful to smart phone users Now-a-days so many people
are using smart phones and people are crazy about new apps. But by installing all the applications into our
mobile may reduce its performance. Some apps contain more risk. But user may not know the effects that are
caused by the app which is installed until the performance of mobile is reduced. With the prosperity of
the Android app economy, many apps have been published and sold in various markets. However, short
development applications and insufficient security development apps have led to many vulnerable apps. So to
reduce these type of problems Vulnerable Hunter is proposed. Through the proposed application user can see
which application is risky and then the user may uninstall that application. The main advantage of designing this
app is without internet also the users will use this application. Users also feel more convenient to work with
mobile apps.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Google Play, Apple App Store and Windows Phone Store are well known distribution platforms where users can download mobile apps, rate them and write review comments about the apps they are using. Previous research studies demonstrated that these reviews contain important information to help developers improve their apps. However, analyzing reviews is challenging due to the large amount of reviews posted every day, the unstructured nature of reviews and its varying quality. In this demo we present
ARdoc, a tool which combines three techniques: (1) Natural Language Parsing,(2) Text Analysis and (3) Sentiment Analysis to automatically classify useful feedback contained in app reviews important for performing software maintenance and evolution tasks. Our quantitative and qualitative analysis (involving mobile professional developers) demonstrates that ARdoc correctly classifies feedback useful for maintenance perspectives in user reviews with high precision (ranging between84% and 89%), recall (ranging between 84% and 89%), and an F-Measure (ranging between 84% and 89%). While evaluating our tool developers of our study confirmed the use-fulness of ARdoc in extracting important maintenance tasks for their mobile applications.
What Would Users Change in My App? Summarizing App Reviews for Recommending ...Sebastiano Panichella
Mobile app developers constantly monitor feedback in user reviews with the goal of improving their mobile apps and better
meeting user expectations. Thus, automated approaches have
been proposed in literature with the aim of reducing the effort
required for analyzing feedback contained in user reviews via
automatic classication/prioritization according to specific
topics. In this paper, we introduce SURF (Summarizer of
User Reviews Feedback), a novel approach to condense the
enormous amount of information that developers of popular
apps have to manage due to user feedback received on a
daily basis. SURF relies on a conceptual model for capturing
user needs useful for developers performing maintenance and
evolution tasks. Then it uses sophisticated summarisation
techniques for summarizing thousands of reviews and generating
an interactive, structured and condensed agenda of
recommended software changes. We performed an end-to-end
evaluation of SURF on user reviews of 17 mobile apps (5 of
them developed by Sony Mobile), involving 23 developers
and researchers in total. Results demonstrate high accuracy
of SURF in summarizing reviews and the usefulness of the
recommended changes. In evaluating our approach we found
that SURF helps developers in better understanding user
needs, substantially reducing the time required by developers
compared to manually analyzing user (change) requests and
planning future software changes.
This project "VULNERABLE HUNTER" application main aim is to detect risk in our mobile applications. This
application contains modules like Fetch Application, Generate Score, Uninstall and Display Graph. Through this
application it detects risk so that this application is very useful to smart phone users Now-a-days so many people
are using smart phones and people are crazy about new apps. But by installing all the applications into our
mobile may reduce its performance. Some apps contain more risk. But user may not know the effects that are
caused by the app which is installed until the performance of mobile is reduced. With the prosperity of
the Android app economy, many apps have been published and sold in various markets. However, short
development applications and insufficient security development apps have led to many vulnerable apps. So to
reduce these type of problems Vulnerable Hunter is proposed. Through the proposed application user can see
which application is risky and then the user may uninstall that application. The main advantage of designing this
app is without internet also the users will use this application. Users also feel more convenient to work with
mobile apps.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.