Presentation of waterfall model
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The document describes the classical waterfall model of software development. It discusses the sequential phases of requirements analysis, design, implementation, testing, integration, and maintenance. Each phase must be completed before moving to the next. While simple and easy to understand, the classical waterfall model is not well-suited for complex projects with changing requirements and has been replaced by more flexible models. However, it still provides the basis for other agile software development life cycle models.
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Soil Properties and Methods of DeterminationRajani Vyawahare This PPT covers the index and engineering properties of soil. It includes details on index properties, along with their methods of determination. Various important terms related to soil behavior are explained in detail. The presentation also outlines the experimental procedures for determining soil properties such as water content, specific gravity, plastic limit, and liquid limit, along with the necessary calculations and graph plotting. Additionally, it provides insights to understand the importance of these properties in geotechnical engineering applications.
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural Machinery Optimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. Exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in Lorestan province, Iran. The required data were collected from farmers in Lorestan province using random sampling. The Cobb-Douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (CEnC and CExC) and devising strategies to mitigate the environmental impacts of corn production. The Cobb-Douglas equation results revealed that electricity, diesel fuel, and N-fertilizer were the major contributors to CExC in the corn production system. According to the Data Envelopment Analysis (DEA) results, the average efficiency of all farms in terms of CExC was 94.7% in the CCR model and 97.8% in the BCC model. Furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. By adopting more suitable methods based on DEA of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.
Taykon-Kalite belgeleri
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Taykon Çelik için kalite, hayallerinizi bizlerle paylaştığınız an başlar. Proje çiziminden detayların çözümüne, detayların çözümünden üretime, üretimden montaja, montajdan teslime hayallerinizin gerçekleştiğini gördüğünüz ana kadar geçen tüm aşamaları, çalışanları, tüm teknik donanım ve çevreyi içine alır KALİTE.
Air pollution is contamination of the indoor or outdoor environment by any ch...
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Household combustion devices, motor vehicles, industrial facilities and forest fires are common sources of air pollution. Pollutants of major public health concern include particulate matter, carbon monoxide, ozone, nitrogen dioxide and sulfur dioxide. Outdoor and indoor air pollution cause respiratory and other diseases and are important sources of morbidity and mortality.
WHO data show that almost all of the global population (99%) breathe air that exceeds WHO guideline limits and contains high levels of pollutants, with low- and middle-income countries suffering from the highest exposures.
Air quality is closely linked to the earth’s climate and ecosystems globally. Many of the drivers of air pollution (i.e. combustion of fossil fuels) are also sources of greenhouse gas emissions. Policies to reduce air pollution, therefore, offer a win-win strategy for both climate and health, lowering the burden of disease attributable to air pollution, as well as contributing to the near- and long-term mitigation of climate change.
Introduction to Safety, Health & Environment
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US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHER Preface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load
Current Delay which delays the creation and storage of created Electromagnetic Field Energy around
the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field
Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the
generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of
an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In
Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be
generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing
zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity
Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any
magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared
to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy
performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to
the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and
the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads,
additional Input Power must be supplied to the Prime Mover and additional Mechanical Input
Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator,
an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive
Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1
MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the
Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric
Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the
Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field
Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the
system.
Wireless-Charger presentation for seminar .pdf
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Water Industry Process Automation & Control Monthly - March 2025.pdf
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Enjoy the latest edition
Lecture -3 Cold water supply system.pptx
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15. Smart Cities Big Data, Civic Hackers, and the Quest for a New Utopia.pdf
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Multi objective genetic approach with Ranking
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Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural Machinery
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHER
Water Industry Process Automation & Control Monthly - March 2025.pdf
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Presentation of waterfall model
- 1. Presented by:- Rohit kumar Submitted to :- mrs. Nidhi Submitted by:- Rohit
- 2. Classical waterfall model is the basic software development life cycle model. It is very simple but idealistic. Earlier this model was very popular but nowadays it is not used. But it is very important because all the other software development life cycle models are based on the classical waterfall model. The different sequential phases of the classical waterfall model are shown in the below figure:-
- 4. The main goal of this phase is to determine whether it would be financially and technically feasible to develop the software. The feasibility study involves understanding the problem and then determine the various possible strategies to solve the problem. These different identified solutions are analyzed based on their benefits and drawbacks, The best solution is chosen and all the other phases are carried out as per this solution strategy.
- 5. The aim of the requirement analysis and specification phase is to understand the exact requirements of the customer and document them properly. This phase consists of two different activities.
- 6. Firstly all the requirements regarding the software are gathered from the customer and then the gathered requirements are analyzed. The goal of the analysis part is to remove incompleteness (an incomplete requirement is one in which some parts of the actual requirements have been omitted) and inconsistencies (inconsistent requirement is one in which some part of the requirement contradicts with some other part).
- 7. These analyzed requirements are documented in a software requirement specification (SRS) document. SRS document serves as a contract between development team and customers. Any future dispute between the customers and the developers can be settled by examining the SRS document.
- 8. The aim of the design phase is to transform the requirements specified in the SRS document into a structure that is suitable for implementation in some programming language.
- 9. In coding phase software design is translated into source code using any suitable programming language. Thus each designed module is coded. The aim of the unit testing phase is to check whether each module is working properly or not.
- 10. Integration of different modules are undertaken soon after they have been coded and unit tested. Integration of various modules is carried out incrementally over a number of steps. During each integration step, previously planned modules are added to the partially integrated system and the resultant system is tested. Finally, after all the modules have been successfully integrated and tested, the full working system is obtained and system testing is carried out on this.
- 11. Alpha testing: Alpha testing is the system testing performed by the development team. Beta testing: Beta testing is the system testing performed by a friendly set of customers. Acceptance testing: After the software has been delivered, the customer performed the acceptance testing to determine whether to accept the delivered software or to reject it.
- 12. Maintenance is the most important phase of a software life cycle. The effort spent on maintenance is the 60% of the total effort spent to develop a full software.
- 13. Corrective Maintenance: This type of maintenance is carried out to correct errors that were not discovered during the product development phase. Perfective Maintenance: This type of maintenance is carried out to enhance the functionalities of the system based on the customer’s request. Adaptive Maintenance: Adaptive maintenance is usually required for porting the software to work in a new environment such as work on a new computer platform or with a new operating system.
- 14. This model is very simple and is easy to understand. Phases in this model are processed one at a time. Each stage in the model is clearly defined. This model has very clear and well understood milestones. Process, actions and results are very well documented. Reinforces good habits: define-before- design, design-before-code. This model works well for smaller projects and projects where requirements are well understood.
- 15. Drawbacks of Classical Waterfall Model. Difficult to accommodate change requests. No overlapping of phases.
- 16. THIS IS THE END OF MY PRESENTATION