The document outlines the objectives and units of a course on Compiler Optimization Techniques. The 5 units cover: 1) Introduction to compilers and optimization sources, 2) Instruction-level parallelism and code scheduling, 3) Optimizing for parallelism and locality theory, 4) Applying optimizations for parallelism and locality, and 5) Interprocedural analysis. The course aims to teach optimization techniques in compiler design and help students understand parallelism identification and various optimization algorithms.
Ching-Tsun Chou has nearly 20 years of experience in computer architecture, including expertise in cache coherence protocols, memory ordering, atomicity mechanisms, and virtualization. He has worked at Intel since 2013 designing atomicity mechanisms for out-of-order processors and specifying memory ordering semantics. Prior to Intel, he led the development of an FPGA-based full-system emulator at Intel and designed synchronous circuits at Fujitsu Labs of America. He has 6 granted patents, 2 pending applications, and 19 publications in the field of computer architecture.
The document discusses the benefits of using a canonical data model (CDM) to standardize terminology and data across business units. A CDM defines common business entities, attributes, and semantics to reduce inconsistencies between different custom data models. This standardization improves business communication, increases software reusability, reduces the number of integration points and transformations needed, and lowers integration time and costs. However, CDMs can be very large and generic, may impact performance, and usually do not contain business validations.
The document provides details about an Information Security course including the course code, name, semester, objectives, prerequisites, competencies, assessment matrix, syllabus, textbook, and references. Specifically, it outlines 8 objectives focused on access control, encryption techniques, digital signatures, secure system design, information flow, auditing, intrusion detection, network security, and user/program security. Students are expected to develop 14 competencies in these areas and the course will be assessed based on how well it helps students achieve various program outcomes. The syllabus is divided into 5 units covering various topics related to computer security.
Information Security Principles - Access Controlidingolay
The document discusses various concepts related to access controls and authentication methods in information security. It covers identification, authentication, authorization, accountability and different authentication factors like something you know, something you have, something you are. It also discusses access control models, biometrics, passwords and single sign-on systems.
This document discusses different types of computer languages. It defines low-level languages like first generation languages (1GL) which use binary and second generation languages (2GL) which use assembly code. High-level languages like third generation languages (3GL) use words and commands closer to human language. Some examples of 3GL and high-level languages mentioned are C++, Visual Basic, Java, and JavaScript. C++ is described as a middle-level language combining high and low-level features while Visual Basic is an event-driven language and integrated development environment from Microsoft.
A programming language is a set of rules that allows humans to tell computers what operations to perform. Programming languages provide tools for developing executable models for problem domains and exist at various levels from high-level languages that are closer to human language to low-level machine code. Some of the principal programming paradigms include imperative, object-oriented, logic/declarative, and functional programming. Popular high-level languages include FORTRAN, COBOL, BASIC, C, C++, Java, and markup languages like HTML and XML.
Lect 1. introduction to programming languagesVarun Garg
A programming language is a set of rules that allows humans to communicate instructions to computers. There are many programming languages because they have evolved over time as better ways to design them have been developed. Programming languages can be categorized based on their generation or programming paradigm such as imperative, object-oriented, logic-based, and functional. Characteristics like writability, readability, reliability and maintainability are important qualities for programming languages.
Ching-Tsun Chou has nearly 20 years of experience in computer architecture, including expertise in cache coherence protocols, memory ordering, atomicity mechanisms, and virtualization. He has worked at Intel since 2013 designing atomicity mechanisms for out-of-order processors and specifying memory ordering semantics. Prior to Intel, he led the development of an FPGA-based full-system emulator at Intel and designed synchronous circuits at Fujitsu Labs of America. He has 6 granted patents, 2 pending applications, and 19 publications in the field of computer architecture.
The document discusses the benefits of using a canonical data model (CDM) to standardize terminology and data across business units. A CDM defines common business entities, attributes, and semantics to reduce inconsistencies between different custom data models. This standardization improves business communication, increases software reusability, reduces the number of integration points and transformations needed, and lowers integration time and costs. However, CDMs can be very large and generic, may impact performance, and usually do not contain business validations.
The document provides details about an Information Security course including the course code, name, semester, objectives, prerequisites, competencies, assessment matrix, syllabus, textbook, and references. Specifically, it outlines 8 objectives focused on access control, encryption techniques, digital signatures, secure system design, information flow, auditing, intrusion detection, network security, and user/program security. Students are expected to develop 14 competencies in these areas and the course will be assessed based on how well it helps students achieve various program outcomes. The syllabus is divided into 5 units covering various topics related to computer security.
Information Security Principles - Access Controlidingolay
The document discusses various concepts related to access controls and authentication methods in information security. It covers identification, authentication, authorization, accountability and different authentication factors like something you know, something you have, something you are. It also discusses access control models, biometrics, passwords and single sign-on systems.
This document discusses different types of computer languages. It defines low-level languages like first generation languages (1GL) which use binary and second generation languages (2GL) which use assembly code. High-level languages like third generation languages (3GL) use words and commands closer to human language. Some examples of 3GL and high-level languages mentioned are C++, Visual Basic, Java, and JavaScript. C++ is described as a middle-level language combining high and low-level features while Visual Basic is an event-driven language and integrated development environment from Microsoft.
A programming language is a set of rules that allows humans to tell computers what operations to perform. Programming languages provide tools for developing executable models for problem domains and exist at various levels from high-level languages that are closer to human language to low-level machine code. Some of the principal programming paradigms include imperative, object-oriented, logic/declarative, and functional programming. Popular high-level languages include FORTRAN, COBOL, BASIC, C, C++, Java, and markup languages like HTML and XML.
Lect 1. introduction to programming languagesVarun Garg
A programming language is a set of rules that allows humans to communicate instructions to computers. There are many programming languages because they have evolved over time as better ways to design them have been developed. Programming languages can be categorized based on their generation or programming paradigm such as imperative, object-oriented, logic-based, and functional. Characteristics like writability, readability, reliability and maintainability are important qualities for programming languages.
This document outlines the course units and topics for CS9221 Database Technology. It covers 5 units: Distributed Databases, Object Oriented Databases, Emerging Systems, Database Design Issues, and Current Issues. Some key topics included are distributed and conventional database architectures, query processing, transaction processing, concurrency control, recovery, object oriented data modeling and design, and temporal, spatial, multimedia, and text databases. The document also lists 8 references for the course.
This document provides details of the grading system for various courses in the Computer Science department for the 2013-14 academic year. It lists the units and topics covered in courses on Compiler Design, Distributed Systems, Cloud Computing, Information Storage and Management, and two elective courses - Network and Web Security and Simulation and Modeling. It also provides the list of experiments for some of these courses and references for further reading. The courses aim to cover important concepts and skills in these areas of Computer Science through lectures, practical sessions, and experiments.
This document outlines the course objectives, units, and experiments for the Microprocessors Lab course. The course aims to teach assembly language programming of 8085, 8086, and 8051 microprocessors and interfacing peripheral devices with processors. Students will implement assembly language programs for various microprocessors and study interfacing concepts. Experiments include programming in 8085 and 8086 with BIOS/DOS calls, interfacing 8085/8086 with I/O chips, 8051 experiments for control applications, and a mini-project. The course aims to provide practical training in microprocessor programming and interfacing skills.
This document provides an overview of a course on Predictive Modeling using IBM SPSS Statistics. The course is divided into 5 units that cover topics such as reading, organizing, and transforming data in SPSS; conducting descriptive and inferential statistics; creating graphical displays; and performing statistical analyses like t-tests, ANOVA, correlation, regression, and predictive analysis. Students will learn how to import, manage, and analyze data in SPSS through illustrative problems and projects involving both parametric and non-parametric statistical tests. The goal is for students to gain experience in using SPSS to conduct statistical analyses and predictive modeling on data.
A database management system (or DBMS) is essentially nothing more than a computerized data-keeping system. Users of the system are given facilities to perform several kinds of operations on such a system for either manipulation of the data in the database or the management of the database structure itself. Database Management Systems (DBMSs) are categorized according to their data structures or types.
There are several types of databases that can be used on a mainframe to exploit z/OS®: inverted list, hierarchic, network, or relational.
Mainframe sites tend to use a hierarchical model when the data structure (not data values) of the data needed for an application is relatively static. For example, a Bill of Material (BOM) database structure always has a high level assembly part number, and several levels of components with subcomponents. The structure usually has a component forecast, cost, and pricing data, and so on. The structure of the data for a BOM application rarely changes, and new data elements (not values) are rarely identified. An application normally starts at the top with the assembly part number, and goes down to the detail components.
This document outlines the curriculum for a Master of Technology (Computer Science and Engineering) degree program. It includes the course requirements and electives for each of the four semesters. In the first semester, students will take courses in mathematical foundations, computer architecture, data structures and algorithms, computer networks, and research methodology. They will also complete labs in network management and a term paper. The subsequent semesters include additional theory courses, labs, and electives in areas such as databases, distributed systems, software engineering, and a capstone project. The degree requires a total of 75 credits over four semesters.
This document discusses enabling technologies for cloud computing, focusing on service oriented architecture and representational state transfer (REST) systems. It describes service oriented architecture as a design approach involving independent services that communicate with each other over a network. It outlines the layered architecture for web services and grids, and compares grids and clouds, noting that grids apply static resources while clouds emphasize elastic resources. It provides a brief overview of REST, describing it as a way to get information content from websites by reading designated web pages containing XML files that describe and include preferred content.
This document outlines the curriculum and syllabus for a Master of Technology (Computer Science and Engineering) program offered part-time at SRM University. It details the courses offered over six semesters, including topics covered, credit hours, and electives. Courses cover subjects such as parallel computer architecture, object oriented software engineering, database technology, computer communication, and a final project work. The total credits required to earn the MTech degree is 71.
Syllabus for screening test 10+2 lecturer in computer sciences..Ashish Sharma
This document provides a detailed syllabus for the screening test of Lecturer 10+2 Computer Science for the Jammu and Kashmir Public Service Commission. The syllabus covers 7 topics: 1) Computer Fundamentals and Applications, 2) Programming Language Principles, 3) Database Management Systems, 4) Data and File Structures, 5) Programming Concepts in C/C++, 6) Software Engineering and Management, and 7) Operating Systems. Each topic lists several sub-topics that candidates will be expected to have knowledge of for the screening test.
The document provides a syllabus for a screening test for the position of Lecturer in Computer Engineering. It outlines 12 topics to be covered in the objective test, including fundamentals of computer systems, programming, data structures and algorithms, digital logic systems and microprocessors, operating systems, computer organization and architecture, database management systems, data and computer networks, object oriented programming, software engineering, network security, and basics of communication. The test will contain 100 multiple choice questions worth 100 marks and last two hours, with negative marking.
This document provides information about courses for a Bachelor of Technology in Computer Science and Engineering for Semester VIII. It lists 5 required courses covering topics like project work, electives in professional and open electives, and corresponding labs. Details are provided for each course including credit hours, examination scheme, topics covered and suggested reading materials. The document also outlines the eligibility criteria for elective courses.
This document outlines a course on advanced programming paradigms. It covers five units: introduction to programming paradigms and languages; Java programming paradigms including object-oriented, procedural, and declarative; advanced Java including concurrent and graphical interfaces; Python paradigms including functional, logic, and parallel; and formal paradigms including automata and symbolic programming with Python. The course aims to develop understanding of paradigm functionalities and deploy various paradigms including structural, object-oriented, declarative, and graphical interfaces using Java and Python applications. Learning is assessed through unit tests, projects, reports, and final examinations.
This document provides an open elective list for the VIII semester of B.Tech programs for the 2021-22 academic year at the Dr. A.P.J. Abdul Kalam Technical University in Uttar Pradesh, India. It includes 10 courses for Open Elective-III and 9 courses for Open Elective-IV, covering topics such as cloud computing, biomedical signal processing, entrepreneurship, and data warehousing. The document also provides detailed syllabi for 5 of the courses, describing the topics and proposed lectures for each unit.
This document provides information on the B.Tech course "Social Networks" including its objectives, units, outcomes and references. The course aims to help students understand social networks and their components, represent knowledge using ontology, mine user behavior and communities, model network evolution, and mine text, opinions and multimedia data. The 5 units cover introduction to social networks and analysis, knowledge representation using ontology, mining communities and social media, models of network evolution, and text/opinion/multimedia mining. The outcomes include working with network internals, ontology-based knowledge representation, mining user behavior, predicting network evolution, and opinion mining in networks. References provided are textbooks and papers on social network analysis, mining, technologies and applications.
18 css101j pps unit 1
Evolution of Programming & Languages - Problem Solving through Programming - Creating Algorithms - Drawing Flowcharts - Writing Pseudocode - Evolution of C language, its usage history - Input and output functions: Printf and scanf - Variables and identifiers – Expressions - Single line and multiline comments - Constants, Keywords - Values, Names, Scope, Binding, Storage Classes - Numeric Data types: integer - floating point - Non-Numeric Data types: char and string - Increment and decrement operator - Comma, Arrow and Assignment operator - Bitwise and Sizeof operator
This document describes the development of an online course registration system. The system allows students and staff to login and register for courses by viewing the course catalog. The registrar maintains user details and closes registration after it is completed. All information is stored in a database. The system is created using technologies like Microsoft Visual Basic and Oracle. It has interfaces for students, staff, and the registrar to register, view courses, and manage the registration process.
The document contains a list of email addresses for various engineering colleges and institutions in India. The emails are for jobs/careers departments, principals' offices, and general information contacts. The list includes over 50 different college and institution names from across India.
This document outlines the course units and topics for CS9221 Database Technology. It covers 5 units: Distributed Databases, Object Oriented Databases, Emerging Systems, Database Design Issues, and Current Issues. Some key topics included are distributed and conventional database architectures, query processing, transaction processing, concurrency control, recovery, object oriented data modeling and design, and temporal, spatial, multimedia, and text databases. The document also lists 8 references for the course.
This document provides details of the grading system for various courses in the Computer Science department for the 2013-14 academic year. It lists the units and topics covered in courses on Compiler Design, Distributed Systems, Cloud Computing, Information Storage and Management, and two elective courses - Network and Web Security and Simulation and Modeling. It also provides the list of experiments for some of these courses and references for further reading. The courses aim to cover important concepts and skills in these areas of Computer Science through lectures, practical sessions, and experiments.
This document outlines the course objectives, units, and experiments for the Microprocessors Lab course. The course aims to teach assembly language programming of 8085, 8086, and 8051 microprocessors and interfacing peripheral devices with processors. Students will implement assembly language programs for various microprocessors and study interfacing concepts. Experiments include programming in 8085 and 8086 with BIOS/DOS calls, interfacing 8085/8086 with I/O chips, 8051 experiments for control applications, and a mini-project. The course aims to provide practical training in microprocessor programming and interfacing skills.
This document provides an overview of a course on Predictive Modeling using IBM SPSS Statistics. The course is divided into 5 units that cover topics such as reading, organizing, and transforming data in SPSS; conducting descriptive and inferential statistics; creating graphical displays; and performing statistical analyses like t-tests, ANOVA, correlation, regression, and predictive analysis. Students will learn how to import, manage, and analyze data in SPSS through illustrative problems and projects involving both parametric and non-parametric statistical tests. The goal is for students to gain experience in using SPSS to conduct statistical analyses and predictive modeling on data.
A database management system (or DBMS) is essentially nothing more than a computerized data-keeping system. Users of the system are given facilities to perform several kinds of operations on such a system for either manipulation of the data in the database or the management of the database structure itself. Database Management Systems (DBMSs) are categorized according to their data structures or types.
There are several types of databases that can be used on a mainframe to exploit z/OS®: inverted list, hierarchic, network, or relational.
Mainframe sites tend to use a hierarchical model when the data structure (not data values) of the data needed for an application is relatively static. For example, a Bill of Material (BOM) database structure always has a high level assembly part number, and several levels of components with subcomponents. The structure usually has a component forecast, cost, and pricing data, and so on. The structure of the data for a BOM application rarely changes, and new data elements (not values) are rarely identified. An application normally starts at the top with the assembly part number, and goes down to the detail components.
This document outlines the curriculum for a Master of Technology (Computer Science and Engineering) degree program. It includes the course requirements and electives for each of the four semesters. In the first semester, students will take courses in mathematical foundations, computer architecture, data structures and algorithms, computer networks, and research methodology. They will also complete labs in network management and a term paper. The subsequent semesters include additional theory courses, labs, and electives in areas such as databases, distributed systems, software engineering, and a capstone project. The degree requires a total of 75 credits over four semesters.
This document discusses enabling technologies for cloud computing, focusing on service oriented architecture and representational state transfer (REST) systems. It describes service oriented architecture as a design approach involving independent services that communicate with each other over a network. It outlines the layered architecture for web services and grids, and compares grids and clouds, noting that grids apply static resources while clouds emphasize elastic resources. It provides a brief overview of REST, describing it as a way to get information content from websites by reading designated web pages containing XML files that describe and include preferred content.
This document outlines the curriculum and syllabus for a Master of Technology (Computer Science and Engineering) program offered part-time at SRM University. It details the courses offered over six semesters, including topics covered, credit hours, and electives. Courses cover subjects such as parallel computer architecture, object oriented software engineering, database technology, computer communication, and a final project work. The total credits required to earn the MTech degree is 71.
Syllabus for screening test 10+2 lecturer in computer sciences..Ashish Sharma
This document provides a detailed syllabus for the screening test of Lecturer 10+2 Computer Science for the Jammu and Kashmir Public Service Commission. The syllabus covers 7 topics: 1) Computer Fundamentals and Applications, 2) Programming Language Principles, 3) Database Management Systems, 4) Data and File Structures, 5) Programming Concepts in C/C++, 6) Software Engineering and Management, and 7) Operating Systems. Each topic lists several sub-topics that candidates will be expected to have knowledge of for the screening test.
The document provides a syllabus for a screening test for the position of Lecturer in Computer Engineering. It outlines 12 topics to be covered in the objective test, including fundamentals of computer systems, programming, data structures and algorithms, digital logic systems and microprocessors, operating systems, computer organization and architecture, database management systems, data and computer networks, object oriented programming, software engineering, network security, and basics of communication. The test will contain 100 multiple choice questions worth 100 marks and last two hours, with negative marking.
This document provides information about courses for a Bachelor of Technology in Computer Science and Engineering for Semester VIII. It lists 5 required courses covering topics like project work, electives in professional and open electives, and corresponding labs. Details are provided for each course including credit hours, examination scheme, topics covered and suggested reading materials. The document also outlines the eligibility criteria for elective courses.
This document outlines a course on advanced programming paradigms. It covers five units: introduction to programming paradigms and languages; Java programming paradigms including object-oriented, procedural, and declarative; advanced Java including concurrent and graphical interfaces; Python paradigms including functional, logic, and parallel; and formal paradigms including automata and symbolic programming with Python. The course aims to develop understanding of paradigm functionalities and deploy various paradigms including structural, object-oriented, declarative, and graphical interfaces using Java and Python applications. Learning is assessed through unit tests, projects, reports, and final examinations.
This document provides an open elective list for the VIII semester of B.Tech programs for the 2021-22 academic year at the Dr. A.P.J. Abdul Kalam Technical University in Uttar Pradesh, India. It includes 10 courses for Open Elective-III and 9 courses for Open Elective-IV, covering topics such as cloud computing, biomedical signal processing, entrepreneurship, and data warehousing. The document also provides detailed syllabi for 5 of the courses, describing the topics and proposed lectures for each unit.
This document provides information on the B.Tech course "Social Networks" including its objectives, units, outcomes and references. The course aims to help students understand social networks and their components, represent knowledge using ontology, mine user behavior and communities, model network evolution, and mine text, opinions and multimedia data. The 5 units cover introduction to social networks and analysis, knowledge representation using ontology, mining communities and social media, models of network evolution, and text/opinion/multimedia mining. The outcomes include working with network internals, ontology-based knowledge representation, mining user behavior, predicting network evolution, and opinion mining in networks. References provided are textbooks and papers on social network analysis, mining, technologies and applications.
18 css101j pps unit 1
Evolution of Programming & Languages - Problem Solving through Programming - Creating Algorithms - Drawing Flowcharts - Writing Pseudocode - Evolution of C language, its usage history - Input and output functions: Printf and scanf - Variables and identifiers – Expressions - Single line and multiline comments - Constants, Keywords - Values, Names, Scope, Binding, Storage Classes - Numeric Data types: integer - floating point - Non-Numeric Data types: char and string - Increment and decrement operator - Comma, Arrow and Assignment operator - Bitwise and Sizeof operator
This document describes the development of an online course registration system. The system allows students and staff to login and register for courses by viewing the course catalog. The registrar maintains user details and closes registration after it is completed. All information is stored in a database. The system is created using technologies like Microsoft Visual Basic and Oracle. It has interfaces for students, staff, and the registrar to register, view courses, and manage the registration process.
The document contains a list of email addresses for various engineering colleges and institutions in India. The emails are for jobs/careers departments, principals' offices, and general information contacts. The list includes over 50 different college and institution names from across India.
It2302 information theory and codingl t p crameshvvv
This document outlines the course structure and content for the course IT2302 INFORMATION THEORY AND CODING. The course is divided into 5 units that cover topics such as information theory, source coding of text, audio, speech and images/video, and error control coding including block codes and convolutional codes. The course aims to teach fundamental concepts in information theory, source coding and channel coding over 45 class periods using specified textbooks and references.
The document contains source code and design documents for an inventory program. It includes use case diagrams, activity diagrams, collaboration diagrams, and component diagrams. It details the design of screens in VB6.0 and provides source code for connecting to a database, querying tables, inserting records, and updating stock quantities after purchases or sales. Screen designs and additional source code are presented for purchase and sales modules that also update the stock details after transactions.
This document covers many topics related to organizational behavior, including key elements like people, structure, jobs, and technology. It discusses management functions such as planning, organizing, and controlling. It also addresses challenges for organizational behavior like improving quality and managing diversity. Additional sections cover contributing disciplines, perception, attitudes, personality, learning theories, motivation theories, groups, communication, leadership, organizational change, and interventions. The document provides an overview of concepts, theories, and issues in organizational behavior.
The document discusses various types of alcoholic beverages and provides health information about consuming them. It states that while moderate alcohol consumption may provide some heart benefits, drinking excessively can hinder weight loss and increase health risks. It is best to limit alcohol intake, especially for those trying to lose weight or with certain health conditions. The standard drink amounts are also outlined for different beverages as one drink contains roughly 100-150 calories.
The document outlines service charge amounts consultants will receive for student admissions to VVCET, ranging from Rs. 10,000 to Rs. 15,000 depending on the program and number of admissions. It also details tuition fee concessions for meritorious and sports students admitted to VVCET programs, with concessions from 25% to 100% tuition fees based on academic performance or competition level. Fee structures are provided for undergraduate and postgraduate programs for day scholars and hostellers for the 2014-2015 academic year. Contact information is provided for admissions inquiries or assistance.
Public-key cryptography uses two keys, a public key that can be shared widely, and a private key that is kept secret. It allows for both encryption and digital signatures. The most widely used public-key cryptosystem is RSA, which relies on the difficulty of factoring large prime numbers. Diffie-Hellman key exchange allows two parties to securely exchange a secret key over an insecure channel without any prior secrets.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
1. CP7203 PRINCIPLES OF PROGRAMMING LANGUAGES L T P C
3 0 0 3
OBJECTIVES:
To understand and describe syntax and semantics of programming languages
To understand data, data types, and basic statements
To understand call-return architecture and ways of implementing them
To understand object-orientation, concurrency, and event handling in programming
languages
To develop programs in non-procedural programming paradigms
UNIT I SYNTAX AND SEMANTICS 9
Evolution of programming languages – describing syntax – context-free grammars – attribute grammars
– describing semantics – lexical analysis – parsing – recursive-decent – bottomup parsing
UNIT II DATA, DATA TYPES, AND BASIC STATEMENTS 9
Names – variables – binding – type checking – scope – scope rules – lifetime and garbage collection –
primitive data types – strings – array types – associative arrays – record types – union types – pointers
and references – Arithmetic expressions – overloaded operators – type conversions – relational and
boolean expressions – assignment statements – mixedmode assignments – control structures – selection
– iterations – branching – guarded statements
UNIT III SUBPROGRAMS AND IMPLEMENTATIONS 9
Subprograms – design issues – local referencing – parameter passing – overloaded methods – generic
methods – design issues for functions – semantics of call and return – implementing simple subprograms
– stack and dynamic local variables – nested subprograms – blocks – dynamic scoping
UNIT IV OBJECT-ORIENTATION, CONCURRENCY, AND EVENT HANDLING 9
Object-orientation – design issues for OOP languages – implementation of object-oriented constructs –
concurrency – semaphores – monitors – message passing – threads – statement level concurrency –
exception handling – even handling
UNIT V FUNCTIONAL AND LOGIC PROGRAMMING LANGUAGES 9
Introduction to lambda calculus – fundamentals of functional programming languages – Programming
with Scheme – Programming with ML – Introduction to logic and logic programming – Programming with
Prolog – multi-paradigm languages
REFERENCES:
1. Robert W. Sebesta, “Concepts of Programming Languages”, Tenth Edition, Addison
Wesley, 2012.
2. Michael L. Scott, “Programming Language Pragmatics”, Third Edition, Morgan
Kaufmann, 2009.
3. R. Kent Dybvig, “The Scheme programming language”, Fourth Edition, MIT Press, 2009.
4. Jeffrey D. Ullman, “Elements of ML programming”, Second Edition, Prentice Hall, 1998.
5. Richard A. O'Keefe, “The craft of Prolog”, MIT Press, 2009.
6. W. F. Clocksin and C. S. Mellish, “Programming in Prolog: Using the ISO Standard”, Fifth
Edition, Springer, 2003.
2. NE7202 NETWORK AND INFORMATION SECURITY L T P C
3 0 0 3
OBJECTIVES:
To understand the fundamentals of Cryptography
To acquire knowledge on standard algorithms used to provide confidentiality, integrity
and authenticity.
To understand the various key distribution and management schemes.
To understand how to deploy encryption techniques to secure data in transit across
data networks
To design security applications in the field of Information technology
UNIT I INTRODUCTION 9
An Overview of Computer Security-Security Services-Security Mechanisms-Security Attacks-Access
Control Matrix, Policy-Security policies, Confidentiality policies, Integrity policies and Hybrid policies.
UNIT II CRYPTOSYSTEMS & AUTHENTICATION 9
Classical Cryptography-Substitution Ciphers-permutation Ciphers-Block Ciphers-DESModes of
Operation- AES-Linear Cryptanalysis, Differential Cryptanalysis- Hash Function - SHA 512- Message
Authentication Codes-HMAC - Authentication Protocols -
UNIT III PUBLIC KEY CRYPTOSYSTEMS 9
Introduction to Public key Cryptography- Number theory- The RSA Cryptosystem and Factoring Integer-
Attacks on RSA-The ELGamal Cryptosystem- Digital Signature Algorithm-Finite Fields-Elliptic Curves
Cryptography- Key management – Session and Interchange keys, Key exchange and generation-PKI
UNIT IV SYSTEM IMPLEMENTATION 9
Design Principles, Representing Identity, Access Control Mechanisms, Information Flow and Confinement
Problem
Secure Software Development: Secured Coding - OWASP/SANS Top Vulnerabilities - Buffer Overflows -
Incomplete mediation - XSS - Anti Cross Site Scripting Libraries - Canonical Data Format - Command
Injection - Redirection - Inference – Application Controls
UNIT V NETWORK SECURITY 9
Secret Sharing Schemes-Kerberos- Pretty Good Privacy (PGP)-Secure Socket Layer (SSL)- Intruders –
HIDS- NIDS - Firewalls - Viruses
TOTAL: 45 PERIODS
REFERENCES:
1. William Stallings, “Cryptography and Network Security: Principles and Practices”, Third Edition,
Pearson Education, 2006.
2. Matt Bishop ,“Computer Security art and science ”, Second Edition, Pearson Education, 2002
3. Wade Trappe and Lawrence C. Washington, “Introduction to Cryptography with Coding Theory”
Second Edition, Pearson Education, 2007
4. Jonathan Katz, and Yehuda Lindell, Introduction to Modern Cryptography, CRC Press, 2007
3. NE7005 PROTOCOLS AND ARCHITECTURE FOR WIRELESS SENSOR NETWORKS L T P C
3 0 0 3
UNIT I INTRODUCTION AND OVERVIEW OF WIRELESS SENSOR NETWORKS 9
Background of Sensor Network Technology, Application of Sensor Networks, Challenges for Wireless
Sensor Networks, Mobile Adhoc NETworks (MANETs) and Wireless Sensor Networks, Enabling
Technologies For Wireless Sensor Networks.
UNIT II ARCHITECTURES 9
Single-node Architecture, Hardware Components & Design Constraints, Operating Systems and Execution
Environments, Introduction to TinyOS and nesC, Network Architecture, Sensor Network Scenarios,
Optimization Goals and Figures of Merit, Design Principles for WSNs, Service Interfaces of WSNs, Gateway
Concepts.
UNIT III DEPLOYMENT AND CONFIGURATION 9
Localization and Positioning, Coverage and Connectivity, Single-hop and Multi-hop Localization, Self
Configuring Localization Systems, Sensor Management Network Protocols: Issues in Designing MAC
Protocol for WSNs, Classification of MAC Protocols, S-MAC Protocol, B-MAC Protocol, IEEE 802.15.4
Standard and Zig Bee, Dissemination Protocol for Large Sensor Network.
UNIT IV ROUTING PROTOCOLS AND DATA MANIPULATION 9
Issues in Designing Routing Protocols, Classification of Routing Protocols, Energy-Efficient Routing,
Unicast, Broadcast and Multicast, Geographic Routing.
Data Centric and Content based Routing, Storage and Retrieval in Network, Compression Technologies
for WSN, Data Aggregation Technique.
UNIT V SENSOR NETWORK PLATFORMS AND TOOLS 9
Sensor Node Hardware – Berkeley Motes, Programming Challenges, Node-level Software Platforms,
Node-level Simulators, State-centric Programming.
TOTAL : 45 PERIODS
REFERENCES:
1. Holger Karl & Andreas Willig, “Protocols And Architectures for Wireless Sensor Networks", John Wiley,
2005.
2. Feng Zhao & Leonidas J. Guibas, “Wireless Sensor Networks- An Information Processing Approach",
Elsevier, 2007.
3. Raghavendra, Cauligi S, Sivalingam, Krishna M., Zanti Taieb, “Wireless Sensor Network”, Springer 1st
Ed. 2004 (ISBN: 978-4020-7883-5).
4. Kazem Sohraby, Daniel Minoli, & Taieb Znati, “Wireless Sensor Networks- Technology, Protocols, and
Applications”, John Wiley, 2007.
5. N. P. Mahalik, “Sensor Networks and Configuration: Fundamentals, Standards, Platforms, and
Applications” Springer Verlag.
6. Anna Hac, “Wireless Sensor Network Designs”, John Wiley, 2003.
4. CP7031 COMPILER OPTIMIZATION TECHNIQUES L T P C
3 0 0 3
OBJECTIVES:
To understand the optimization techniques used in compiler design.
To be aware of the various computer architectures that support parallelism.
To become familiar with the theoretical background needed for code optimization.
To understand the techniques used for identifying parallelism in a sequential program.
To learn the various optimization algorithms. 65
UNIT I INTRODUCTION 9
Language Processors - The Structure of a Compiler – The Evolution of Programming Languages- The
Science of Building a Compiler – Applications of Compiler Technology Programming Language Basics -
The Lexical Analyzer Generator -Parser Generator - Overview of Basic Blocks and Flow Graphs -
Optimization of Basic Blocks - Principle
Sources of Optimization.
UNIT II INSTRUCTION-LEVEL PARALLELISM 9
Processor Architectures – Code-Scheduling Constraints – Basic-Block Scheduling –Global Code
Scheduling – Software Pipelining.
UNIT III OPTIMIZING FOR PARALLELISM AND LOCALITY-THEORY 9
Basic Concepts – Matrix-Multiply: An Example - Iteration Spaces - Affine Array Indexes – Data Reuse
Array data dependence Analysis.
UNITIV OPTIMIZING FOR PARALLELISM AND LOCALITY – APPLICATION 9
Finding Synchronization - Free Parallelism – Synchronization Between Parallel Loops – Pipelining –
Locality Optimizations – Other Uses of Affine Transforms.
UNIT V INTERPROCEDURAL ANALYSIS 9
Basic Concepts – Need for Interprocedural Analysis – A Logical Representation of Data Flow – A Simple
Pointer-Analysis Algorithm – Context Insensitive Interprocedural Analysis - Context-Sensitive Pointer-
Analysis - Datalog Implementation by Binary Decision Diagrams.
TOTAL: 45 PERIODS
REFERENCES:
1. Alfred V. Aho, Monica S.Lam, Ravi Sethi, Jeffrey D.Ullman, “Compilers:Principles, Techniques and
Tools”, Second Edition, Pearson Education,2008.
2. Randy Allen, Ken Kennedy, “Optimizing Compilers for Modern Architectures: A Dependence-based
Approach”, Morgan Kaufmann Publishers, 2002.
3. Steven S. Muchnick, “Advanced Compiler Design and Implementation”,Morgan Kaufmann Publishers -
Elsevier Science, India, Indian Reprint 2003.