REVIEW OF PROJECT PRESENT PYTHON OK pptx

REVIEW OF THE PROJECT PRESENTATION

1. Learning-based Online Transmission Path Selection for Secure Estimation in Edge Computing Systems

2. ABSTRACT E-learning is becoming an increasingly popular form of education but what about security that is an important issue in the actual educational context where e-learning increases in popularity and more and more people are taking online courses. The approach to teach many students at the same time, and the students possibility to learn material at their own pace have been very successful. There are many important elements that must be taken into consideration: access control, authentication, data integrity, content protection, etc. Information security can be obtained using functions such as cryptography and network protocols. In this paper, we will highpoint some important security issues that must be taken into consideration in developing and using an e-learning platform. We will also inspect some security aspects of one of the most popular open-source e-learning systems.

3. EXISTING SYSTEM E-learning is becoming an increasingly popular form of education but what about security that is an important issue in the actual educational context where e-learning increases in popularity and more and more people are taking online courses. The approach to teach many students at the same time, and the students possibility to learn material at their own pace have been very successful. There are many important elements that must be taken into consideration: access control, authentication, data integrity, content protection, etc. Information security can be obtained using functions such as cryptography and network protocols. In this paper, we will highpoint some important security issues that must be taken into consideration in developing and using an e-learning platform. We will also inspect some security aspects of one of the most popular open-source e-learning systems .

4. Drawbacks: It’s not Secure it can be attacked by Dos attack. It is Complex to use. It use document are not safe which can be modified. It does not have privacy

5. PROPOSED SYSTEM In our System e-learning it is secure using cryptography by encoding and decoding for the documents sent on the system. In this a mobile agent continuously monitors the learner’s actions for identifying optimal learning conditions and notes the weak knowledge area of user. The architecture supports the process of composing personalized content for an individual mobile user, rapid course development and collaboration .The architecture for simplifying and automating the process of creating the domain model for an intelligent online e-learning system, which is based on knowledge representation of educational resources using World Wide Web. Advantages: It is secure using Cryptography by encoding and Decoding. It is easy to use. The documents are secure with encryption. It has privacy securing system.

6. Advantages : It is secure using Cryptography by encoding and Decoding. It is easy to use. The documents are secure with encryption. It has privacy securing system.

7. SYSTEM REQUIREMENTS HARDWARE PROCESSOR : Intel Core i3. RAM : 4 GB MONITOR : 15” COLOR HARD DISK : 25 GB   SOFTWARE Front End : HTML, BOOTSTRAP, JAVASCRIPT Back End : MYSQL , PHP Operating System : Windows 07 Software : NOTEPAD , XAMPP , SERVER

8. ARCHITECTURE DIAGRAM :

9. MODULES : Login /registration- Module. Teacher –Module. Subject-list- Module. Contents-Module. Notes-Module. Videos Module.

10. MODULES DESCRIPTION: Login /registration- Module: Registration module is used to register the details about the student/Teacher. That contain create a unique name and password. That also needs a full name of user and email id of user for authentication. The basic module login is used to web page. The module has username and password. That will be verified with database and allow to login to the web page. Teacher –Module: This module is used for the teacher purpose only. Teacher can verify the student, its helps to prevent from the unauthorized problems. Teacher can add and change the subjects, subject content, subject notes and videos for the subjects.

11. MODULES DESCRIPTION: Subject List- Module: The subject module can contain the list of subjects, the teachers add the subjects from their account. Lot of top trending computer subjects in the subject list. Students can choose the subject want they like and using for the career and exams. Content- Module: This module is used to show the content of the student selected specific subject. This module is having introduction of the subject and variety of chapters show to the students for improving knowledge and help to exams.

12. MODULES DESCRIPTION: Notes- Module: Notes module has a lot of Portable Document Format ( PDF ) files for the student selected specific subjects. Students can download the PDF file from the notes module and use it for our preparations. Practical- Module: Some students have a problem with theory. This module is help for their students. This module is showing the important topic related videos. Those videos should be updated by the teacher. Student can view the videos and improving their knowledge.

13. DATA FLOW DIAGRAM : LEVEL 0:

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16. TABLE DESIGN : USER: Column Name Data Type Constraints id integer Primary key User Name varchar Not null Password varchar Not null E-mail varchar Not null Phone Number integer Not null Subject: Column Name Data Type Constraints Subject id integer Primary key Subject name varchar Not null content varchar Not null Subject degree varchar Not null

17. TABLE DESIGN : notes : Teacher: Column Name Data Type Constraints Notes id int Primary Key Notes Name varchar Not null Video name varchar Not null Subject name varchar Not null Column Name Data Type Constraints id integer Primary key User Name varchar Not null Password varchar Not null

18. ACHIVEMENTS Goal achieved: The System is able provide the interface to the servicer so that he can replicate his desired data. . User friendliness: Though the most part of the system is supposed to act in the background, efforts have been made to make the foreground interaction with user (servicer) as smooth as possible. Also the integration of the existing system with the project has been kept in mind throughout the development phase.

19. Conclusion : This System can help make personalized buying decisions and improve the products. We accomplish this by first converting the unstructured data into structured data; then, we extract the sentences comprising our feature keywords; then, we were able to provide the feature-level ratings through sentiment analysis of these sentences. We rank the phones based on the number of features that they are best at, and accordingly, we were able to recommend the best phones for a feature. We tested our methodology on the “phone” named feature by considering the overall customer ratings as ground-truth ratings. The performance of our method is found to be decent. The proposed approach is unsupervised. As an extension, we will work on improving the performance by taking a weakly supervised or supervised approach to this problem, for which we will have to annotate the available data in terms of all our 108 features.

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