Page 3 Software Requirements Specification Blood donation
1.0 Introduction
1.1 Purpose:
The web based blood donation system is mainly uses for helping the patient who need blood. So this SRS document consists of a simple explanation about the system and its features. The document mainly focuses on providing sufficient design information to the blood donor authorities. And also it will satisfy the functional, design, performance requirements of the system in briefly.
1.2 Objective:
This system presents an alert system to the donor about requirement of their blood to a person need and also provide online status of blood group wise availability of blood unit.
Page 4 Software Requirements Specification Blood donation
2.0 Problem Definition of Existing system
Entering the details about the blood groups, members, addresses etc. And tracking the database is complicated when the details are maintained manually. This makes the maintenance of schedule erroneous. Limitation of manual system. It is time consuming. Retrieval of data takes lots of time. It lacks of data security. Reports takes time to produce. Percentage of accuracy is less.
3.0 Proposed System
This system is used for maintain whole information about blood. In this project mainly 3 modules are there:
Admin
Donor
User
Page 5 Software Requirements Specification Blood donation
4.0 Software Requirements Specification
4.1 Software Requirement:
Operating System : Windows Xp, Windows 7/8/10
Front End : Codeigniter 3.1.4
Back End : MySql
Technology : Xampp
4.2 Hardware Requirement:
Processor : Amd A6-44006 Apu
Hard Disk : 2.75GHz
Memory : 6.0GB RAM
Page 6 Software Requirements Specification Blood donation
Data Flow Diagram:
Figure -1
Page 7 Software Requirements Specification Blood donation
Use Case Diagram
Figure-2: Admin and donor
Page 8 Software Requirements Specification Blood donation
Class Diagram
Figure-3
Page 9 Software Requirements Specification Blood donation
E-R Diagram
Figure-4
Page 10 Software Requirements Specification Blood donation
User interface diagram
Figure 5:The admin or donor login
Figure 6:The user registration
Page 3 Software Requirements Specification Blood donation
1.0 Introduction
1.1 Purpose:
The web based blood donation system is mainly uses for helping the patient who need blood. So this SRS document consists of a simple explanation about the system and its features. The document mainly focuses on providing sufficient design information to the blood donor authorities. And also it will satisfy the functional, design, performance requirements of the system in briefly.
1.2 Objective:
This system presents an alert system to the donor about requirement of their blood to a person need and also provide online status of blood group wise availability of blood unit.
Page 4 Software Requirements Specification Blood donation
2.0 Problem Definition of Existing system
Entering the details about the blood groups, members, addresses etc. And tracking the database is complicated when the details are maintained manually. This makes the maintenance of schedule erroneous. Limitation of manual system. It is time consuming. Retrieval of data takes lots of time. It lacks of data security. Reports takes time to produce. Percentage of accuracy is less.
3.0 Proposed System
This system is used for maintain whole information about blood. In this project mainly 3 modules are there:
Admin
Donor
User
Page 5 Software Requirements Specification Blood donation
4.0 Software Requirements Specification
4.1 Software Requirement:
Operating System : Windows Xp, Windows 7/8/10
Front End : Codeigniter 3.1.4
Back End : MySql
Technology : Xampp
4.2 Hardware Requirement:
Processor : Amd A6-44006 Apu
Hard Disk : 2.75GHz
Memory : 6.0GB RAM
Page 6 Software Requirements Specification Blood donation
Data Flow Diagram:
Figure -1
Page 7 Software Requirements Specification Blood donation
Use Case Diagram
Figure-2: Admin and donor
Page 8 Software Requirements Specification Blood donation
Class Diagram
Figure-3
Page 9 Software Requirements Specification Blood donation
E-R Diagram
Figure-4
Page 10 Software Requirements Specification Blood donation
User interface diagram
Figure 5:The admin or donor login
Figure 6:The user registration
Our group started working on this project for our Software Engineering Lab Course. We used Java language and we used Netbeans platform. We used Jframe to create different pages . We had to modify and implement different new codes for new features. To manage this project we needed a database. We used mysql database. Xampp was to manage the database from the device and query language was used to access the database from the java project.
PhoRank 2.0: Improved Phenotype-Based Gene Ranking in VarSeqGolden Helix
When performing variant analysis on whole exome or large gene panels, clinicians must sort through thousands of variants to determine which variants are most likely to be associated with the patient’s phenotypes. To assist with this process, we have implemented the PhoRank algorithm, which incorporates phenotypic associations to highlight the most relevant genes with potentially damaging variants. PhoRank 1.0 supports researchers leveraging all possible gene-disease associations by traversing multiple gene and pathway ontologies. Recent papers have demonstrated new techniques that have improved ranking performance in a clinical context. We have incorporated these new strategies into PhoRank 2.0: providing better ranking and improved computational performance for most clinically diagnostic and testing scenarios. Join us in this webinar as we cover:
Utility of gene ranking in genetic testing
Scenarios that warrant the use of PhoRank 2.0
New ranking strategies provided by recent papers
Benchmarks of PhoRank 2.0 on published datasets
Golden Helix provides a comprehensive solution for NGS testing labs to perform best practice guidelines such as ACMG and AMP. Our gene ranking methods provide a vital role in scaling tests to large gene panels and exomes. Please join us as we review the testing workflow and how this significant update to our gene ranking algorithm fits into the testing workflow.
This is a presentation of a software project on Online Blood Banking System. It contain the objective of the project, about blood donation, how our website will look like and about the modules.
Our group started working on this project for our Software Engineering Lab Course. We used Java language and we used Netbeans platform. We used Jframe to create different pages . We had to modify and implement different new codes for new features. To manage this project we needed a database. We used mysql database. Xampp was to manage the database from the device and query language was used to access the database from the java project.
PhoRank 2.0: Improved Phenotype-Based Gene Ranking in VarSeqGolden Helix
When performing variant analysis on whole exome or large gene panels, clinicians must sort through thousands of variants to determine which variants are most likely to be associated with the patient’s phenotypes. To assist with this process, we have implemented the PhoRank algorithm, which incorporates phenotypic associations to highlight the most relevant genes with potentially damaging variants. PhoRank 1.0 supports researchers leveraging all possible gene-disease associations by traversing multiple gene and pathway ontologies. Recent papers have demonstrated new techniques that have improved ranking performance in a clinical context. We have incorporated these new strategies into PhoRank 2.0: providing better ranking and improved computational performance for most clinically diagnostic and testing scenarios. Join us in this webinar as we cover:
Utility of gene ranking in genetic testing
Scenarios that warrant the use of PhoRank 2.0
New ranking strategies provided by recent papers
Benchmarks of PhoRank 2.0 on published datasets
Golden Helix provides a comprehensive solution for NGS testing labs to perform best practice guidelines such as ACMG and AMP. Our gene ranking methods provide a vital role in scaling tests to large gene panels and exomes. Please join us as we review the testing workflow and how this significant update to our gene ranking algorithm fits into the testing workflow.
This is a presentation of a software project on Online Blood Banking System. It contain the objective of the project, about blood donation, how our website will look like and about the modules.
The main goal of this presentation is to study three large information systems projects that failed over the last five years and identify the reasons of failure and derive the challenges and recommendations for IS strategists.
International Food Policy Research Institute (IFPRI) organized a three days Training Workshop on ‘Monitoring and Evaluation Methods’ on 10-12 March 2014 in New Delhi, India. The workshop is part of an IFAD grant to IFPRI to partner in the Monitoring and Evaluation component of the ongoing projects in the region. The three day workshop is intended to be a collaborative affair between project directors, M & E leaders and M & E experts. As part of the workshop, detailed interaction will take place on the evaluation routines involving sampling, questionnaire development, data collection and management techniques and production of an evaluation report. The workshop is designed to better understand the M & E needs of various projects that are at different stages of implementation. Both the generic issues involved in M & E programs as well as project specific needs will be addressed in the workshop. The objective of the workshop is to come up with a work plan for M & E domains in the IFAD projects and determine the possibilities of collaboration between IFPRI and project leaders.
Plans for the online 2021 Census with increased use of administrative and sur...UKDSCensus
Following the Government’s endorsement of the National Statistician’s recommendation on ‘the census and future provision of population statistics in England and Wales’, the ONS Beyond 2011 Programme has been closed and replaced by the new Census Transformation Programme. The new programme is focusing on developing the strategies and plans needed for delivery of the following major strands of work:- 1. An online census in 2021; 2. Integrated statistical outputs that make use of administrative data and surveys in conjunction with the census; 3. A recommendation for the future provision of population statistics beyond 2021. This presentation will outline ONS plans for Strands 1 and 2: to deliver a predominantly digital census while making the most effective use of administrative and survey data in its design, operation and outputs. It will cover the challenges of providing a census in 2021 that is 'digital by default', while building on the successes and lessons from the 2011 Census. Main areas that will be outlined include plans to address the challenge of digital exclusion while maximising the benefits of electronic data collection such as data quality, real-time response information and reducing processing time. Strand 2 is new for 2021, and looks at enhancing the traditional census building on the understanding of the opportunities and limitations of administrative data gained in Strand 3. Challenges include considering the most effective use of administrative and survey data in: optimising census data collection operations, estimating missing data, quality assuring results, reducing respondent burden or expanding topics covered.
In 2012, USAID announced its commitment to actively encourage the evaluation and use of electronic payments (e-payments) in development programs, including its own, as a member of The Better than Cash Alliance. USAID also has made the use of e-payments a priority in the Agency’s Implementation and Procurement Reform.
In fulfillment of these commitments, USAID actively is encouraging its development partners, contractors, subcontractors, grantees, sub-grantees and private sector alliance partners to consider incorporating e-payment systems into program design and implementation where feasible. Many USAID Missions have begun to request that procurement proposals include a suitability analysis on the use of e-payments for the funded program.
Modern Database Management 12th Global Edition by Hoffer solution manual.docxssuserf63bd7
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name:Solution manual for Modern Database Management 12th Global Edition by Hoffer
Edition:12th Global Edition
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ISBN:ISBN 10: 0133544613 / ISBN 13: 9780133544619
type:solution manual
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All chapter include
Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The 12th Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
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3. Group Members:
YASIR IQBAL SOHAIL AMJAD M. AMIR
ANAS GHAFOOR SHARJEEL Khilat FARAZ AHMAD
Introduction Goals and Objectives
Causes of Failure
Preventions
Functional
Requirement
Non Functional
Requirement
Conclusion
5. Introduction:
History:
The US Census Bureau is the agency responsible for conducting the decennial
census, which has been conducted every 10 years since 1790. The agency was
created as part of the US Department of the Interior in 1902.
Decennial Census:
The decennial census is the largest and most comprehensive survey conducted by the
Census Bureau, and it provides a snapshot of the US population at a particular point
in time. The census is used to determine representation in Congress, allocate federal
funding, and inform decision-making in the public and private sectors.
Mission:
The mission of the Census Bureau is to serve as the leading source of quality data
about the nation's people and economy. The Census Bureau collects and analyzes
data on a wide range of topics, including demographics, economics, housing, and
geography.
6. Introduction:
Data Privacy:
The Census Bureau takes data privacy and confidentiality very seriously and is
required by law to protect the personal information of individuals who
participate in its surveys. The agency uses a variety of methods to ensure that
data is secure and cannot be linked back to individual respondents.
Challenges:
The Census Bureau faces a variety of challenges in conducting its surveys,
including logistical challenges related to data collection and processing,
legal and political challenges related to privacy and confidentiality, and
financial and resource constraints that can impact the quality and scope of
its work
7.
8. The Field Data Collection
Automation(FDCA) Project
• The task of addressing the issues fell on the shoulders of
Associate Director and Chief Operating Officer for the 2010
decennial census, Preston "Jay" Waite.
• Waite was a career officer in the Census Bureau and in
2001 he was assigned full and direct responsibility for
overseeing the preparations for the 2010 census.
• Waite recognized that if the Bureau was to meet its goals,
the existing paper based census needed to be redesigned.
• Waite decided to equip the bureau's 525,000 field workers
with GPS enabled, on-line, handheld computing devices
instead of the traditional clipboard and paper.
12. Project goals and objectives
Improve data accuracy:
Increase efficiency:
Reduce processing times:
Modernize data collection process:
Ensure data security and privacy:
Increase respondent participation:
13. Project goals and objectives
Improve data accuracy:
The project aimed to reduce errors in data collection by using
electronic devices and automated tools that could help eliminate
manual data entry and transcription errors.
Increase efficiency:
By automating the data collection process, the project aimed to
increase the efficiency and productivity of field staff, enabling
them to collect more data in less time and with greater accuracy.
Reduce processing times:
The project aimed to reduce the time it takes to process and
analyze data collected during field operations, which would
allow for faster decision-making and response times.
14. Project goals and objectives:
Modernize data collection process:
The project aimed to modernize the data collection process,
making it more technologically advanced and adaptable to
changing societal needs.
Ensure data security and privacy:
The project aimed to ensure the security and privacy of data
collected during field operations, protecting it from unauthorized
access and use.
Increase respondent participation:
The project aimed to increase respondent participation by
making the data collection process more convenient and
accessible to the public.
15. Causes of failure
Leadership Failure
1. Poor Planning: One possible cause of the failure may be
poor planning and lack of foresight in anticipating the
challenges that the Census Bureau would face. This may
have been exacerbated by a lack of funding, resources, and
support from senior leadership.
2. Lack of Communication: Another possible cause may be a
lack of communication between different departments
and stakeholders within the Census Bureau, which can
lead to misalignment of goals and objectives, and
inadequate information sharing.
16. Leadership and governance failures:
3. Inadequate Training: The Census Bureau may have also
faced challenges related to inadequate training and
capacity building among its staff and contractors,
particularly in light of the disruptions
4. Political Interference: The Census Bureau may have also
faced challenges related to political interference and
pressure, particularly in light of the contentious political
climate during the 2020 census cycle.
5. Lack of Accountability: Finally, the Census Bureau may
have faced challenges related to a lack of accountability
and transparency, particularly in how it managed its
resources and responded to the challenges faced during
the census.
17. How we prevent all these failure in US
Census Bureau
1. Effective project planning: Ensure that project planning is
thorough, and that all stakeholders are involved and
informed throughout the process. This can help to identify
and manage risks, and to establish clear project objectives
and deliverables.
2. Strong leadership: Appoint a strong project manager with
the necessary leadership skills to effectively manage the
project and to establish accountability for project
outcomes.
3. Effective project governance: Establish appropriate
governance processes to track and control the project,
and to ensure that the project team is aligned with project
goals.
18. How we prevent all these failure in US
Census Bureau
4. Robust project management methodology: Establish a
robust project management methodology to manage
project risks, quality, and change control.
5. Adequate resources and expertise: Ensure that the
project team has the necessary resources and expertise to
execute the project tasks effectively.
6. Effective communication: Establish effective
communication processes to ensure that all stakeholders
are informed and aligned throughout the project.
7. Monitoring and control: Regularly monitor project
progress and implement corrective actions as necessary to
ensure that the project is on track to meet its objectives.
19. Functional and non-functional
requirements
Functional Requirment:
Functional requirements refer to the specific functions or
features that the Field Data Collection Automation (FDCA)
system must perform in order to meet its intended purpose.
1. The FDCA system must be able to guide field data collectors
through the census questionnaire and validate the data as it
is entered to ensure accuracy.
2. The system must allow field data collectors to collect and
store data offline if an internet connection is not available,
and automatically sync the data when a connection is
restored.
20. Functional Requirment:
3. The system must use GPS technology to ensure that field
data collectors are in the correct location when collecting
data.
4. The system must provide field data collectors with real-time
feedback on the completeness and accuracy of their data.
5. The system must allow field data collectors to take photos
and upload them to the database as supporting
documentation
21. Requirements Classification:
User Requirements:
– User-friendly
– Easy to understand
– Ensure the privacy of users.
System Requirements:
– Able to handle a lot of data
– Available for people to use when they need it.
Software specification:
– The US Census software must be designed for efficient data collection,
storage, and processing
– It must ensure data privacy and security, and provide accurate and reliable
results
22. Non-functional requirements
1. The system must be secure and protect sensitive data from
unauthorized access or data breaches.
2. The system must be reliable and perform consistently even in
areas with poor internet connectivity or other environmental
factors.
3. The system must be scalable and able to handle large
volumes of data without performance degradation.
4. The system must be user-friendly and intuitive, requiring
minimal training for field data collectors to use effectively.
5. The system must be easily maintainable and supportable,
with robust documentation and error logging to aid in
troubleshooting.
23. Conclusion
The US Census Bureau Field Data Collection Automation project aimed to
modernize and automate the data collection process used during the
decennial census. By using handheld devices and other technology, the
project sought to reduce costs and improve accuracy.
The project resulted in several key conclusions:
1. Increased efficiency: Automation reduced the time it took to collect and
process data, making the overall census process faster and more
efficient.
2. Improved accuracy: By automating data collection, the potential for
errors was reduced, leading to more accurate data.
3. Cost savings: The use of technology allowed the Census Bureau to save
money by reducing the need for paper-based forms and manual data
entry.
4. Enhanced data security: The use of handheld devices allowed for the
secure and encrypted transmission of data, reducing the risk of data
breaches or other security issues.