Seminar on Research Trends in Artificial Intelligence

 Seminar Presentation on Research Trends in Artificial Intelligence on 22-06-2022, at

Department of Information Technology

Vijaya Institute of Engineering and Technology, Vijayawada

Mrs.Y.Vijaya, Head of the Department , Information Technology, VITW.

Blog Mining Using Search Engine Optimization and Machine learning (IJSREM)

 Blog Mining Using Search Engine Optimization and Machine learning

The blog is a regularly updated website or web page, typically run by an individual or small group, that is written in an informal or conversational style. Blogs consist of a series of posts where posts are archived, and are usually sorted into categories. Bloggers identify the sentiments, both positive and negative opinions about the topic to understand and present public views in detail. Readers can browse these categories through the blog to read older entries. It does typically involve searching and analyzing blogs in order to generate additional insights and acts asan information source for the user’s ideas. Blog Mining provides a capability of processing large amounts of text data effectively, blog mining can be a valuable method for gaining insights into a given topic. This study of blog mining is used to analyze and search the online blog posts relevant contents in a quite simpler fashion In this, providing three main features to the website, where it will most helpful to Blogger’s and Reader’s as well, they are: 

1. Blog Mining  2. Text Summarization  3. Search Engine Optimization

Providing a platform to Blogger’s and Reader’s. Where the blogger will continually post new content orinformation in the Blog and readers will check them frequently and gain knowledge or information from the blogs. So, we created a website for both of them, where bloggers have a separate account in the website, they can login and update/write the content and readers can go to the home page directly to view the blogs of bloggers. Here we are creating a Techie Blog website.

Keywords- Blog, Blog-mining, Machine learning, Latent Semantic Analysis, Search Engine Optimization, Hummingbird, Panda & Hybridization.

“Blog Mining Using Search Engine Optimization and Machine learning”, Dr.V. Shanmukha Rao1, Vikram Pagadala2 , MD. Ibraheem3 , CH. Roop Kumar4, International Journal of Scientific Research in Engineering and Management (IJSREM), ISSN: 2582-3930, Volume: 06 Issue: 06 | June – 2022, DOI: 10.55041/IJSREM14235,

https://ijsrem.com/download/blog-mining-using-search-engine-optimization-and-machine-learning/

PhD Convocation

23-5-2018 Ph.D Awarded - Receiving Ph.D [Computer Science & Engineering] -OD from

 Rayalaseema University Vice-Chancellor , Prof.A.Anand Rao. 

III Convocation of the University in virtual presence of Shri Biswa Bhusan Harichandan Garu,

 Hon'ble Governor of Andhra Pradesh and Chancellor of the University.

21st May 2022, Kurnool,AP

Learning Techniques in Artificial Intelligence conference

Presented & Resource person

 Learning Techniques in Artificial Intelligence - National level Conference

Christ College- Thiruvallur, Tamilanadu

19-05-2022

   

Rev.Fr.Louis Vembliath,Rev.Fr.Harry Williams, Rev. Fr.Arul Mani Joseph, Rev.Fr.Pradeep Christopher

Dr.Y.Kalpana,Dr.S.suresh,Dr.A.Thirumuthiraja,Dr.S.Bharathidasan

Departmet of Computer Science, Computer applications & Mathematics, Christ Arts & Science College, Kilachery, Thiruvallur, Tamil Nadu

Techno RK 2K22

 Techno "RK" 2K22

12-05-2022, Judge for  Techno "RK" 2K22, National level Technical Symposium

RK college of Engineering , Kethanakonda

ACTA IMEKO ISSN: 2221-870X March 2022,

 Classification of brain tumours using artificial neural networks

ABSTRACT

Magnetic Resonance (MR) brain Image is very important for medial analysis and diagnosis. These images are generally measured in radiology department to measure images of anatomy as well as the general physiological process of the human body. In this process magnetic resonance imaging measurement are used with a heavy magnetic field, its gradients along with radio waves to produce the pictures of human organs. MR brain image is also used to identify any blood clots or damaged blood veins in the brain. A counterfeit neural organization is a nonlinear information handling model that have been effectively used preparation models for tackling administered design acknowledgment assignments because of its capacity to sum up this present reality issues. Artificial Neural Networks (ANN) is used to classify the given MR brain image having Benign or malignant tumour in the brain. Benign tumours are generally not cancerous tumours. These are also not able to grow or spread in the human body. In very rare cases they may grow very slowly. Once it is eliminated, they do not come again. On the other hand, malignant tumours are cancer tumours. These tumour cells are grown and also easily spread to other parts of the human body. Benign also known as Harmless. These are not destructive. They either can't spread or develop, or they do as such leisurely. On the off chance that a specialist eliminates them, they don't by and large return. Premalignant In these growths, the cells are not yet harmful, however they can possibly become threatening. Malignant also known as threatening. Malignant growths are destructive. The cells can develop and spread to different pieces of the body. In our proposed framework initially, it distinguishes Wavelet Transform to separate the highlights from the picture. Subsequent to separating the highlights it incorporates tumour shape and power attributes just as surface highlights are distinguished. Finally, ANN to group the information highlights set into Benign or malignant tumour. The main purpose as well as the objective is to identifying the tumours weather it belongs to Benign or Malignant.

ACTA IMEKO ISSN: 2221-870X March 2022, Volume 11, Number 1, 1 - 7

https://acta.imeko.org/index.php/acta-imeko/article/view/IMEKO-ACTA-11%20%282022%29-01-35

https://acta.imeko.org/index.php/acta-imeko/issue/view/39

Distributed Systems - 2022 micro lesson plan

Course Name: Distributed Systems

Program                      : B.Tech                       Reg:  R16

Class                            :IV B.Tech-2                Semester: Even

 OBJECTIVES: 

• Provides an introduction to the fundamentals of distributed computer systems, assumingthe availability of facilities for data transmission, IPC mechanisms in distributedsystems, Remote procedure calls. 

• Expose students to current technology used to build architectures to enhance distributed Computing infrastructures with various computing principles

OUTCOMES:  

• Develop a familiarity with distributed file systems.
• Describe important characteristics of distributed systems and the salient architectural 
features of such systems.
• Describe the features and applications of important standard protocols which are used in 
distributed systems.
• Gaining practical experience of inter-process communication in a distributed environment 

 University Syllabus

 UNIT-I:

Characterization of Distributed Systems: Introduction, Examples of Distributed Systems,
Resource Sharing and the Web, Challenges.
System Models: Introduction, Architectural Models- Software Layers, System Architecture,
Variations, Interface and Objects, Design Requirements for Distributed Architectures,
Fundamental Models- Interaction Model, Failure Model, Security Model.
 
UNIT-II:
Interprocess Communication: Introduction, The API for the Internet Protocols- The
Characteristics of Interprocess communication, Sockets, UDP Datagram Communication, TCP
Stream Communication; External Data Representation and Marshalling; Client Server
Communication; Group Communication- IP Multicast- an implementation of group
communication, Reliability and Ordering of Multicast.
 
UNIT-III:
Distributed Objects and Remote Invocation: Introduction, Communication between
Distributed Objects- Object Model, Distributed Object Modal, Design Issues for RMI,
Implementation of RMI, Distributed Garbage Collection; Remote Procedure Call, Events and
Notifications, Case Study: JAVA RMI
 
UNIT-IV:
Operating System Support: Introduction, The Operating System Layer, Protection, Processes 
and Threads –Address Space, Creation of a New Process, Threads. 

UNIT-V:
Distributed File Systems: Introduction, File Service Architecture; Peer-to-Peer Systems:
Introduction, Napster and its Legacy, Peer-to-Peer Middleware, Routing Overlays.
Coordination and Agreement: Introduction, Distributed Mutual Exclusion, Elections,
Multicast Communication.

UNIT-VI:
Transactions & Replications: Introduction, System Model and Group Communication,
Concurrency Control in Distributed Transactions, Distributed Dead Locks, Transaction
Recovery; Replication-Introduction, Passive (Primary) Replication, Active Replication. 

 TEXT BOOKS:  

1. Ajay D Kshemkalyani, Mukesh Sighal, “Distributed Computing, Principles, Algorithms and
Systems”, Cambridge 
2. George Coulouris, Jean Dollimore, Tim Kindberg, “Distributed Systems- Concepts and Design”,
Fourth Edition, Pearson Publication  

REFERENCE BOOKS 

Distributed-Systems-Principles-Paradigms-Tanenbaum PHI 

 Pre-Class : Videos, E-books, Web links, Case Studies etc…

In-Class : Explanation on concept, discussion, Poll, doubts clarification, PPT, Demo etc..

Post-Class : Discussion Forum, Review on topic, Assessment, Quiz, Notes etc….

 Activity / Schedule

CLASS SL. NO	CONCEPT	OBJECTIVES	PRE-CLASS	IN-CLASS	POST-CLASS
	unit-1	Understanding the fundamentals of distributed computer systems	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
1	Characterization of Distributed Systems: Introduction
2	Examples of Distributed Systems
3	Examples of Distributed Systems
4	Resource Sharing and the Web
5	Challenges.
6	System Models: Introduction
7	Architectural Models
8	Software Layers
9	System Architecture
10	Variations, Interface and Objects
11	Design Requirements for Distributed Architectures
12	Fundamental Models- Interaction Model
13	Failure Model
14	Security Model.
15	Weekly Test
	unit-2	Available  facilities for data transmission	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
16	Interprocess Communication: Introduction
17	The API for the Internet Protocols
18	Characteristics of Interprocess communication
19	Sockets
20	UDP Datagram Communication
21	TCP Stream Communication
22	External Data Representation and Marshalling
23	Client Server Communication
24	Group Communication
25	IP Multicast- an implementation of group communication,
26	Reliability and Ordering of Multicast.
	unit-3	Understanding the fundamentals of IPC mechanisms in distributed systems, Remote procedure calls	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
27	Introduction Distributed Objects and Remote Invocation
28	Communication between Distributed Objects
29	Object Model
30	Distributed Object Modal
31	Design Issues for RMI
32	Implementation of RMI
33	Distributed Garbage Collection
34	Remote Procedure Call
35	Events and Notifications
36	Case Study: JAVA RMI
37	JAVA RMI
	unit-4	Able to understand the current technology used to build architectures	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
38	Operating System Support
39	The Operating System Layer
40	Protection
41	Processes and Threads
42	Address Space
43	Creation of a New Process
44	Threads
45	Distributed File Systems
46	File Service Architecture
47	Peer-to-Peer Systems
48	Napster and its Legacy
49	Peer-to-Peer Middleware
50	Routing Overlays
51	Coordination and Agreement
52	Distributed Mutual Exclusion
53	Elections
54	Multicast Communication
	unit-5	To study the salient architectural features  of distributed systems	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
55	Introduction
56	Distributed File Systems
57	File Service Architecture
58	Peer-to-Peer Systems
59	Napster and its Legacy
60	Peer-to-Peer Middleware
61	Routing Overlays
62	Coordination and Agreement
63	Distributed Mutual Exclusion
64	Elections
65	Multicast Communication
	unit-6	To  enhance distributed Computing infrastructures with various computing principles	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
66	Introduction
67	Transactions & Replications
68	System Model and Group Communication
69	Concurrency Control in Distributed Transactions
70	Distributed Dead Locks
71	Transaction
72	Recovery
73	Replication-Introduction
74	Passive (Primary) Replication
75	Active Replication
76	Revision

SOFTWARE ENGINEERING R20

 

ANDHRA LOYOLA INSTITUTE OF ENGINEERING AND TECHNOLOGY

VIJAYAWADA:: 520008

Department of Information Technology

Academic Year 2021-22

 Lesson Plan 

 Course Name: Software Engineering

Program                               : B.Tech                 Reg:  R20

Class                                     :III B.Tech-2                        Semester: Even 

CLASS SL. NO	CONCEPT	OBJECTIVES	PRE-CLASS	IN-CLASS	POST-CLASS
	unit-1	Understanding the software engineering process and models	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
1	The Nature of Software,
2	The Unique Nature of WebApps
3	Software Engineering
4	The Software Process
5	Software Engineering Practice
6	Software Myths
7	How It All Starts
8	A Generic Process Model
9	Process Assessment and Improvement
10	Prescriptive Process Models
11	Specialized Process Models
12	The Unified Process
13	Personal and Team Process Models
14	Process Technology
15	Revision
	unit-2	Acquire knowledge on software engineering principles and frame work activities	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
16	What Is Agility?
17	Agility and the Cost of Change
18	What Is an Agile Process?
19	Extreme Programming (XP)
20	Other Agile Process Models
21	A Tool Set for the Agile Process
22	Software Engineering Knowledge
23	Core Principles
24	Principles That Guide Each Framework Activity
25	Requirements Engineering
26	Establishing the Groundwork
27	Eliciting Requirements
28	Developing Use Cases
29	Building the Requirements Model
30	Negotiating Requirements
31	Validating Requirements
	unit-3	Usage of  Requirement analysis and its modeling	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
27	Requirements Analysis
28	Scenario-Based Modeling
29	UML Models
30	That Supplement the Use Case
31	Data Modeling Concepts
32	Class-Based Modeling
33	Requirements Modeling Strategies
34	Flow-Oriented Modeling
35	Creating a Behavioral Model
36	Patterns for Requirements Modeling
37	unit-4	Able to understand the current design process to build architectures	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
38	Design within the Context of Software Engineering
39	The Design Process
40	Design Concepts
41	The Design Model
42	Software Architecture
43	Architectural Genres
44	Architectural Styles
45	Assessing Alternative Architectural Designs
46	Architectural Mapping Using Data Flow
47	What Is a Component?
48	Designing Class-Based Components
49	Conducting Component-Level Design
50	Component-Level Design for WebApps
51	Designing Traditional Components
52	Component-Based Development
	unit-5	To study the user interface analysis and its design evaluations, different testing strategies	Text Book:  Textbook PDF upload in LMS tool Weblink: Canvas LMS tool Link provided- notes pdf uploaded. video link: Youtube Link provided in LMS tool	Discussion on pre-requisites (10 Min)  PPT  presentation  (40 Min) - Microsoft Teams (online), Discussion / Poll activity   (5 min) ,Summary (5min) , Doubts clari-fication (10 min)	Discussion Forum on the topic in the  group/ Review on the topic, Share material(PPT, Notes pdf,Textbook pdf) on the topic. Presentation video available in canvas student account
53	The Golden Rules
54	User Interface Analysis and Design
55	Interface Analysis
56	Interface Design Steps
57	WebApp Interface Design
58	Design Evaluation
59	Elements of Software Quality Assurance
60	SQA Tasks, Goals, and Metrics
61	Statistical Software Quality Assurance
62	Software Reliability
63	A Strategic Approach to Software Testing
64	Strategic Issues
65	Test Strategies for Conventional Software
66	Test Strategies for Object-Oriented Software
67	Test Strategies for WebApps
68	Validation Testing
69	System Testing
70	The Art of Debugging
71	Software Testing Fundamentals
72	Internal and External Views of Testing
73	White-Box Testing
74	Basis Path Testing