The document discusses the software development life cycle (SDLC) which includes 8 phases: system conception, requirement gathering, system design, class design, implementation, testing, deployment, and maintenance. It states that requirement gathering focuses on what must be done without how, and involves domain and application analysis. Domain analysis emphasizes real-world objects to understand the problem domain. The implementation phase is the longest as it involves coding the requirements.
Process and template for Software development. It is based on Craig Larman\'s software development process. It also describes how to use UML in your project
Process and template for Software development. It is based on Craig Larman\'s software development process. It also describes how to use UML in your project
Software development life cycle (sdlc) phases.pdfPrayas Gokhale
Software development life cycle (SDLC) is the life cycle of the software product. It comprises of certain defined phases that are interlinked. The requirements are translated into design, the design is used to write the codes. The code is tested and verified before delivering it to customers.
Software Process Models, The Linear Sequential Model, The Prototyping Model, The RAD Model, Evolutionary Process Models, Agile Process Model, Component-Based Development, Process, Product and Process.
SDLC - Software Development Life Cycle
and Waterfall Model :
The SDLC aims to produce a high quality software that meets or exceeds customer expectations, reaches completion within times and cost estimates.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
2. PROCESS OVERVIEW
• Software Development Process provides a basis for the
organized production of software, using a collection of
predefined techniques and notations.
• There are various software development approaches defined
and designed which are used/employed during development
process of software, these approaches are also referred as
“Software Development Process Models” (e.g. Waterfall
model, incremental model, V-model, iterative model, etc.).
• Each process model follows a particular life cycle in order to
ensure success in process of software development.
• Software life cycle models describe phases of the software
cycle and the order in which those phases are executed.
Each phase produces deliverables required by the next
phase in the life cycle.
3. SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC) PHASES
• There are following eight phases in every Software
Development Life Cycle model:
• System Conception
• Requirement gathering and analysis
• System Design
• Class Design
• Implementation or coding
• Testing
• Deployment
• Maintenance
4. SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC) PHASES
• There are following eight phases in every Software Development
Life Cycle model:
• System Conception
deals with the genesis of an application, somebody thinks of an idea
for an application, prepares business case and sells idea to the
organization after understanding business needs and technological
capabilities.
• Requirement gathering and analysis
Analysts capture and scrutinize requirements by constructing
models- what must be done , not how it should be done
Developers consider the available sources of information and
resolve ambiguities.
There are two sub-stages of analysis: Domain Analysis and
Application Analysis
Domain Analysis focuses on real-world object
Application Analysis emphasizes concepts and relationships. The
job of constructing a domain model is mainly to decide which
information to capture and how to represent it.
5. SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC) PHASES
• System Design
During this phase developer makes strategic decisions with broad
consequences. In this phase the system and software design is
prepared from the requirement specifications which were studied
in the first phase. System Design helps in specifying hardware
and system requirements and also helps in defining overall
system architecture. The system design specifications serve as
input for the next phase of the model.
• Class Design
During this phase developer expands and optimizes analysis
models; shift from application concepts toward computer
concepts. Developer choose algorithms to implement major
system functions.
• Implementation or coding
On receiving system design documents, the work is divided in
modules/units and actual coding is started. Since, in this phase
the code is produced so it is the main focus for the developer.
This is the longest phase of the software development life.
6. SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC) PHASES
• Testing
After the code is developed it is tested against the
requirements to make sure that the product is actually
solving the needs addressed and gathered during the
requirements phase. During this phase unit testing,
integration testing, system testing, acceptance testing are
done.
• Deployment
After successful testing the product is delivered / deployed
to the customer for their use.
• Maintenance
Once when the customers starts using the developed
system then the actual problems comes up and needs to be
solved from time to time. This process where the care is
taken for the developed product is known as maintenance.
8. WHAT IS A DOMAIN MODEL?
• “A domain model captures the most important
types of objects in the context of the business. The
domain model represents the ‘things’ that exist or
events that transpire in the business environment.”
– I. Jacobsen
9. WHY DO A DOMAIN MODEL?
• Gives a conceptual framework of the things in the
problem space
• Helps you think – focus on semantics
• Provides a glossary of terms – noun based
• It is a static view - meaning it allows us convey
time invariant business rules
• Foundation for use case/workflow modelling
• Based on the defined structure, we can describe
the state of the problem domain at any time.
10. • What do you mean by Software Development Life
Cycle (SDLC)?
• What are the phases (stages) of it? Which phase
requires maximum efforts?
• Also explain why domain analysis is important.
ANALYSIS , DESIGN AND DOMAIN ANALYSIS:
EXERCISE/ ASSIGNMENT