Dr.V.Shanmukha Rao, Professor & Head, CSE-AI
Presented & Resource person
Learning Techniques in Artificial Intelligence - National level Conference
Christ College- Thiruvallur, Tamilanadu
19-05-2022
Techno "RK" 2K22
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.
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
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 |
Discussion on pre-requisites (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 |
Discussion on pre-requisites (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 |
Text Book: Textbook PDF upload in LMS tool |
Discussion on pre-requisites (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 |
||||
|
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 |
||||
|
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 |
Discussion on pre-requisites (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 |
||||
|
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 |
Text Book: Textbook PDF upload in LMS tool |
Discussion on pre-requisites (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 |
Discussion on pre-requisites (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 |
Department of CSE-ARTIFICIAL INTELLIGENCE - (AIIM) ARTIFICIAL INNOV - MINDS CLUB INAUGURATION PSCMRCET MANAGEMENT , PRINCIPAL, HEADS OF THE...
