An investigation into performance appraisement of commercial buildingsAkhtar Tarar
This document outlines a study that examines the integrated use of earned value management (EVM) and risk management (RM) techniques to assess project performance in the commercial building construction sector in Pakistan. The study begins with an introduction and problem statement, followed by research questions and hypotheses. A literature review provides background on EVM, RM, and their integration. Data collection methods are described, including a sample of construction firms and survey of industry professionals. Reliability and validity testing is conducted on survey measures. Regression analysis finds significant relationships between integrated EVM/RM use and overall project performance as well as cost and schedule performance. The document concludes with recommendations for training, establishing a data bank, and considering additional factors and stakeholders in future research
The document discusses performance evaluation of computer and telecommunication systems. Performance evaluation aims to quantitatively predict a system's behavior and is used to compare designs, plan for capacity, and debug performance issues. It involves modeling, simulation, and testing approaches of varying cost and accuracy. Key metrics include counts, times, sizes, productivity, response time, and reliability measures. Workload characterization analyzes how systems are used, while benchmarks compare performance across systems running standardized tests.
This document presents a study on developing a model for estimating construction labor productivity of public building projects in Bahir Dar City, Ethiopia. It outlines the background, problem statement, objectives, methodology, results and conclusions of the study. The methodology included identifying factors affecting productivity through surveys, analyzing their relationships using regression analysis, and developing a model with the most significant factors as independent variables and labor productivity as the dependent variable. The results showed labor skill, material shortage, labor experience and crew size as the most significant factors. A multiple linear regression model was developed with an R-squared value of 0.777.
1) The document discusses the need for predictable estimates in software projects to improve quality, costs, schedules, and profits. Inaccurate estimates can lead to project failures and losses of billions of dollars.
2) It presents TCS's solution of developing a standardized estimation framework to improve predictability. The framework includes techniques for sizing, effort, schedule, and cost estimation. It also includes guidelines for model selection and continuous improvement.
3) The framework was implemented at a large US financial corporation facing challenges like cost overruns, delays, and scrapped projects. After implementing the framework, the company saw improved predictability, productivity gains, and reductions in scrapped projects and costs.
Day 1 1620 - 1705 - maple - pranabendu bhattacharyyaPMI2011
This document discusses the need for predictable estimates in software project delivery and describes TCS's approach to improving estimation predictability. Some key points:
- Inaccurate estimates can lead to billions in losses due to cost overruns, failed projects, and reduced productivity.
- TCS implemented an estimation framework using standardized models, metrics, and continuous feedback to select the best model for different project types.
- A case study showed their approach improved productivity by 15-41%, reduced project scraps by 55%, and increased model coverage from 26% to 80% over three years.
Review on cost estimation technque for web application [part 1]Sayed Mohsin Reza
Prepared by Sayed Mohsin Reza
Part 1
Source Book: Cost Estimation Techniques for Web Projects
BOOK AUTHOR: EMILIA MENDES UNIVERSITY OF AUCKLAND, NEW ZEALAND
Difference about Web and Software Projects
Introduction to Web Cost Estimation
Accuracy of an Effort Model?
Sizing Web Applications
SUCCESS STORY: Improving the Capital Design Review Process at Wastewater Trea...GoLeanSixSigma.com
King County Wastewater Treatment Division successfully improves the Capital Design process. Watch this 30 minute success story webinar featuring Roger Browne, an Engineering Supervisor. Roger talks about the successful project and how a team from Wastewater Treatment Division helped reduce lead time on this Capital Design Review Process.
https://goleansixsigma.com/success-story-improving-capital-design-review-process-wastewater-treatment-division-roger-browne/
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#تواصل_تطوير
المحاضرة الثمانون من المبادرة مع
المهندس / أحمد سعيد رفاعي
مدير مشاريع وباحث في ادارة المشروعات
بعنوان
" دورة حياة تقدير التكلفة بمشروعات التشييد "
الثامنة والنصف مساء توقيت مكة المكرمة
السابعة والنصف توقيت القاهرة
الإثنين 09 نوفمبر 2020
وذلك عبر تطبيق زووم
Meeting ID: 812 2771 3116
https://us02web.zoom.us/meeting/register/tZUvde6vrzgrG9Jy6qAJj1lOuxbHoNJOE0H-
علما ان هناك بث مباشر للمحاضرة على وقناة يوتيوب
https://www.youtube.com/user/EEAchannal
للتواصل مع إدارة المبادرة عبر قناة تيليجرام
الرابط
https://t.me/EEAKSA
رابط اللينكدان والمكتبة الالكترونية
www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
An investigation into performance appraisement of commercial buildingsAkhtar Tarar
This document outlines a study that examines the integrated use of earned value management (EVM) and risk management (RM) techniques to assess project performance in the commercial building construction sector in Pakistan. The study begins with an introduction and problem statement, followed by research questions and hypotheses. A literature review provides background on EVM, RM, and their integration. Data collection methods are described, including a sample of construction firms and survey of industry professionals. Reliability and validity testing is conducted on survey measures. Regression analysis finds significant relationships between integrated EVM/RM use and overall project performance as well as cost and schedule performance. The document concludes with recommendations for training, establishing a data bank, and considering additional factors and stakeholders in future research
The document discusses performance evaluation of computer and telecommunication systems. Performance evaluation aims to quantitatively predict a system's behavior and is used to compare designs, plan for capacity, and debug performance issues. It involves modeling, simulation, and testing approaches of varying cost and accuracy. Key metrics include counts, times, sizes, productivity, response time, and reliability measures. Workload characterization analyzes how systems are used, while benchmarks compare performance across systems running standardized tests.
This document presents a study on developing a model for estimating construction labor productivity of public building projects in Bahir Dar City, Ethiopia. It outlines the background, problem statement, objectives, methodology, results and conclusions of the study. The methodology included identifying factors affecting productivity through surveys, analyzing their relationships using regression analysis, and developing a model with the most significant factors as independent variables and labor productivity as the dependent variable. The results showed labor skill, material shortage, labor experience and crew size as the most significant factors. A multiple linear regression model was developed with an R-squared value of 0.777.
1) The document discusses the need for predictable estimates in software projects to improve quality, costs, schedules, and profits. Inaccurate estimates can lead to project failures and losses of billions of dollars.
2) It presents TCS's solution of developing a standardized estimation framework to improve predictability. The framework includes techniques for sizing, effort, schedule, and cost estimation. It also includes guidelines for model selection and continuous improvement.
3) The framework was implemented at a large US financial corporation facing challenges like cost overruns, delays, and scrapped projects. After implementing the framework, the company saw improved predictability, productivity gains, and reductions in scrapped projects and costs.
Day 1 1620 - 1705 - maple - pranabendu bhattacharyyaPMI2011
This document discusses the need for predictable estimates in software project delivery and describes TCS's approach to improving estimation predictability. Some key points:
- Inaccurate estimates can lead to billions in losses due to cost overruns, failed projects, and reduced productivity.
- TCS implemented an estimation framework using standardized models, metrics, and continuous feedback to select the best model for different project types.
- A case study showed their approach improved productivity by 15-41%, reduced project scraps by 55%, and increased model coverage from 26% to 80% over three years.
Review on cost estimation technque for web application [part 1]Sayed Mohsin Reza
Prepared by Sayed Mohsin Reza
Part 1
Source Book: Cost Estimation Techniques for Web Projects
BOOK AUTHOR: EMILIA MENDES UNIVERSITY OF AUCKLAND, NEW ZEALAND
Difference about Web and Software Projects
Introduction to Web Cost Estimation
Accuracy of an Effort Model?
Sizing Web Applications
SUCCESS STORY: Improving the Capital Design Review Process at Wastewater Trea...GoLeanSixSigma.com
King County Wastewater Treatment Division successfully improves the Capital Design process. Watch this 30 minute success story webinar featuring Roger Browne, an Engineering Supervisor. Roger talks about the successful project and how a team from Wastewater Treatment Division helped reduce lead time on this Capital Design Review Process.
https://goleansixsigma.com/success-story-improving-capital-design-review-process-wastewater-treatment-division-roger-browne/
80
مبادرة
#تواصل_تطوير
المحاضرة الثمانون من المبادرة مع
المهندس / أحمد سعيد رفاعي
مدير مشاريع وباحث في ادارة المشروعات
بعنوان
" دورة حياة تقدير التكلفة بمشروعات التشييد "
الثامنة والنصف مساء توقيت مكة المكرمة
السابعة والنصف توقيت القاهرة
الإثنين 09 نوفمبر 2020
وذلك عبر تطبيق زووم
Meeting ID: 812 2771 3116
https://us02web.zoom.us/meeting/register/tZUvde6vrzgrG9Jy6qAJj1lOuxbHoNJOE0H-
علما ان هناك بث مباشر للمحاضرة على وقناة يوتيوب
https://www.youtube.com/user/EEAchannal
للتواصل مع إدارة المبادرة عبر قناة تيليجرام
الرابط
https://t.me/EEAKSA
رابط اللينكدان والمكتبة الالكترونية
www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
IRJET- Development of Conceptual Model for Effective Selection of Subcontract...IRJET Journal
This document presents a conceptual model for selecting subcontractors for building construction projects. It proposes using both the Relative Important Index (RII) method and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) to evaluate subcontractors against multiple criteria. The RII method is used to determine the relative weights of different selection criteria based on a survey. The PROMETHEE method is then used to rank potential subcontractors based on their performance on the weighted criteria. The approach is demonstrated on a case study of selecting a subcontractor for a project in Surat, India. Key subcontractor selection criteria identified include quality, timeliness, experience, cost, safety, and resource
This slide shows a case study on how to improve validation activities during software development. The content here is taken from a research paper on improving validation activities.
1. Software project planning involves decomposing the project into smaller problems, estimating the size and effort required, and creating schedules and plans for quality, risks, and monitoring.
2. Size estimation is important for project planning and can be done through direct methods like lines of code or indirect methods like function points. The results from different sizing methods are combined statistically.
3. Estimation involves decomposing the software into problem functions, estimating each individually, and combining them to estimate the overall project using historical productivity metrics.
Time, Cost, and Quality Trade-off Analysis in Construction ProjectsIRJET Journal
This document summarizes a student paper about analyzing the trade-offs between time, cost, and quality in construction projects. It discusses using a Time-Cost-Quality Tradeoff (TCQT) model to optimize these three objectives. A literature review and questionnaire survey were conducted to identify key factors. Statistical analysis using SPSS and Relative Rank Index was performed on the survey data. A case study was also done to demonstrate applying the TCQT model and analyzing time-cost tradeoffs using Primavera P6 project management software.
This document discusses architecture evaluation methods. It describes what an architecture is and important quality attributes like usability, functionality, and reliability. It explains that evaluating an architecture early identifies problems and risks. Methods discussed include SAAM, which uses scenarios from stakeholder perspectives to classify how the architecture would handle direct and indirect scenarios, and identify components that would need modification. Evaluating architectures provides benefits like clarifying goals and risks, while also requiring costs of time and money.
Planning and Optimization of Resource Constrained Project Scheduling by using...IRJET Journal
This document presents a study on optimizing the scheduling of construction projects using a genetic algorithm approach. It discusses traditional project scheduling methods like critical path method that do not consider resource constraints. The study aims to develop a genetic algorithm model to minimize the duration of a residential building project given resource constraints. It describes conducting a questionnaire survey to identify critical delay factors. The genetic algorithm is applied to optimize the schedule obtained from Microsoft Project, reducing the duration from 185 days to 172 days. The genetic algorithm approach provides a more effective scheduling solution than traditional methods.
The document discusses project cost management and financial analysis techniques. It covers:
1) Various cost estimating methods used at different project stages from approximate to detailed estimates.
2) The importance of developing a project budget and allocating costs to work items to establish a cost baseline.
3) Key financial analysis methods used in project appraisal including payback period, net present value (NPV), and internal rate of return (IRR). Positive NPV and highest IRR projects are typically selected.
With increasing pressure to improve quality while cutting costs, process improvement is a top priority for many organizations right now; but once we've implemented a process improvement initiative, how do we accurately measure the benefits? Benchmarking is critical to determining the success of any serious process improvement program. As with any type of measurement program, it requires an initial reference point to measure progress. To set our point of comparison, we first need to perform a benchmark on a contemporary sample of projects that are representative of the typical work that we do. In this webinar, industry expert Larry Putnam, Jr. will take you through the necessary steps to perform a successful benchmark - from collecting quantitative and qualitative data to establish the initial baseline benchmark all the way through to performing follow up benchmarks on new projects and process improvement analysis.
IRJET- A Study on Factors Affecting Estimation of Construction Project : Conc...IRJET Journal
This document summarizes a study on factors affecting the estimation of construction project costs. It identifies 12 key factors that influence cost estimation accuracy based on a survey of experts. These include economic instability, quality of project planning/management, experience of estimators, and availability of management/finance plans. The study develops an artificial neural network model to predict cost variance based on these factors. Testing shows the model can predict cost variance with 80% accuracy. It recommends construction parties consider the 12 identified factors when preparing estimates and assigning qualified project managers, estimators, and planners to reduce cost variance. Further research expanding the model to different project types and using a more structured project database is suggested.
IRJET- A Study on Factors Affecting Estimation of Construction Project : Conc...IRJET Journal
This document summarizes a study on factors affecting the estimation of construction project costs. It identifies 12 key factors that influence cost estimation accuracy based on a questionnaire survey of experts. These include economic instability, quality of project planning, experience of the estimating team, and accuracy of bidding documents. The study develops an artificial neural network model to predict cost variance based on these factors. Testing shows the model can predict cost variance with 80% accuracy. It recommends construction parties consider the 12 identified factors when preparing cost estimates and allow for contingency based on economic conditions and project location. Further research expanding the model to different project types and using more structured cost data is suggested.
This document provides guidance on key questions to consider when planning a project to ensure it is thoroughly planned before work begins. It outlines questions about the project purpose, stakeholders to involve, expected results, constraints, assumptions, work activities, and scheduling. Specifically, it recommends defining the situation that led to the project, who will benefit, and consequences of not doing it. It also suggests identifying drivers, supporters and observers; measurable and targeted outcomes; limitations and needs; assumptions and risks; all required activities, their inputs, results and dependencies; and a detailed schedule with milestones and resource availability. Answering these questions comprehensively aids in developing project plans, commitment, and performance.
Presented on 4 Dec 2014
@Jeju, South Korea
Title: An efficient method for assessing the impact of refactoring candidates on maintainability based on matrix computation
Establishing weightages of Criteria and Key Aspects for Quality Assessment of...IRJET Journal
This document discusses establishing weightages for criteria and key aspects to assess the quality of the built environment. It identifies 9 criteria and 36 key aspects based on a literature review. A questionnaire with these criteria and aspects was sent to professionals to rate the significance of each aspect.
Factor analysis was conducted on the responses to determine the percentage of variance accounted for by each criterion and key aspect. This provides a way to establish weightages for each in assessing built environment quality. Factor analysis of the criteria showed they are all important with relatively equal variances between 11-26%.
Further factor analysis was done on the key aspects within each individual criterion. This identified the percentage of variance explained by each key aspect, providing a basis for their
This document proposes a research project to develop techniques for automated testing of object-oriented software. The objectives are to design a framework for test case generation based on an intermediate graph representation of the software and to generate test cases by analyzing this graph. The plan is to use UML diagrams to construct a communication tree and then iteratively select predicates to transform into test data. The performance of the algorithms will be evaluated by testing them on sample data and comparing results.
The document discusses the Capability Maturity Model (CMM) developed by the Software Engineering Institute (SEI) to help organizations improve their software development processes. The CMM defines 5 levels of process maturity from Initial to Optimizing. It is used to assess the maturity of an organization's software processes and select contractors. The levels progressively require more defined, measured, controlled and optimized processes.
Web Engineering - Web Effort EstimationNosheen Qamar
The document discusses various techniques for estimating effort in web development projects, including expert opinion, algorithmic models, and artificial intelligence. It describes expert opinion as a subjective approach based on previous experience, while algorithmic models attempt to formalize relationships between effort and factors like project size through equations. The document also explains case-based reasoning and regression trees as popular artificial intelligence techniques, with case-based reasoning estimating effort by comparing new projects to similar past projects.
This document is a term paper on project cost estimation for a software project management course. It discusses various techniques for estimating project costs, including expert judgement, analogous estimating, parametric estimating, bottom-up estimating, and three-point estimates. It also covers related work done in previous studies comparing different cost estimation models from the 1970s to today. The paper aims to analyze different software project cost estimation metrics and models.
This document discusses factors for a project team to consider when using building information modeling (BIM)-based energy modeling during various project phases. It covers: 1) identifying stakeholders, energy goals, and opportunities for energy modeling to guide the project; 2) traditional versus BIM-based energy modeling and ensuring accuracy of information transfer; and 3) feasibility considerations like project goals, budget, resources, and appropriate modeling technology. The overall goal is consistent and accurate energy predictions to design efficient buildings and evaluate performance.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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This document presents a conceptual model for selecting subcontractors for building construction projects. It proposes using both the Relative Important Index (RII) method and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) to evaluate subcontractors against multiple criteria. The RII method is used to determine the relative weights of different selection criteria based on a survey. The PROMETHEE method is then used to rank potential subcontractors based on their performance on the weighted criteria. The approach is demonstrated on a case study of selecting a subcontractor for a project in Surat, India. Key subcontractor selection criteria identified include quality, timeliness, experience, cost, safety, and resource
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2. Size estimation is important for project planning and can be done through direct methods like lines of code or indirect methods like function points. The results from different sizing methods are combined statistically.
3. Estimation involves decomposing the software into problem functions, estimating each individually, and combining them to estimate the overall project using historical productivity metrics.
Time, Cost, and Quality Trade-off Analysis in Construction ProjectsIRJET Journal
This document summarizes a student paper about analyzing the trade-offs between time, cost, and quality in construction projects. It discusses using a Time-Cost-Quality Tradeoff (TCQT) model to optimize these three objectives. A literature review and questionnaire survey were conducted to identify key factors. Statistical analysis using SPSS and Relative Rank Index was performed on the survey data. A case study was also done to demonstrate applying the TCQT model and analyzing time-cost tradeoffs using Primavera P6 project management software.
This document discusses architecture evaluation methods. It describes what an architecture is and important quality attributes like usability, functionality, and reliability. It explains that evaluating an architecture early identifies problems and risks. Methods discussed include SAAM, which uses scenarios from stakeholder perspectives to classify how the architecture would handle direct and indirect scenarios, and identify components that would need modification. Evaluating architectures provides benefits like clarifying goals and risks, while also requiring costs of time and money.
Planning and Optimization of Resource Constrained Project Scheduling by using...IRJET Journal
This document presents a study on optimizing the scheduling of construction projects using a genetic algorithm approach. It discusses traditional project scheduling methods like critical path method that do not consider resource constraints. The study aims to develop a genetic algorithm model to minimize the duration of a residential building project given resource constraints. It describes conducting a questionnaire survey to identify critical delay factors. The genetic algorithm is applied to optimize the schedule obtained from Microsoft Project, reducing the duration from 185 days to 172 days. The genetic algorithm approach provides a more effective scheduling solution than traditional methods.
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1) Various cost estimating methods used at different project stages from approximate to detailed estimates.
2) The importance of developing a project budget and allocating costs to work items to establish a cost baseline.
3) Key financial analysis methods used in project appraisal including payback period, net present value (NPV), and internal rate of return (IRR). Positive NPV and highest IRR projects are typically selected.
With increasing pressure to improve quality while cutting costs, process improvement is a top priority for many organizations right now; but once we've implemented a process improvement initiative, how do we accurately measure the benefits? Benchmarking is critical to determining the success of any serious process improvement program. As with any type of measurement program, it requires an initial reference point to measure progress. To set our point of comparison, we first need to perform a benchmark on a contemporary sample of projects that are representative of the typical work that we do. In this webinar, industry expert Larry Putnam, Jr. will take you through the necessary steps to perform a successful benchmark - from collecting quantitative and qualitative data to establish the initial baseline benchmark all the way through to performing follow up benchmarks on new projects and process improvement analysis.
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This document summarizes a study on factors affecting the estimation of construction project costs. It identifies 12 key factors that influence cost estimation accuracy based on a survey of experts. These include economic instability, quality of project planning/management, experience of estimators, and availability of management/finance plans. The study develops an artificial neural network model to predict cost variance based on these factors. Testing shows the model can predict cost variance with 80% accuracy. It recommends construction parties consider the 12 identified factors when preparing estimates and assigning qualified project managers, estimators, and planners to reduce cost variance. Further research expanding the model to different project types and using a more structured project database is suggested.
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This document summarizes a study on factors affecting the estimation of construction project costs. It identifies 12 key factors that influence cost estimation accuracy based on a questionnaire survey of experts. These include economic instability, quality of project planning, experience of the estimating team, and accuracy of bidding documents. The study develops an artificial neural network model to predict cost variance based on these factors. Testing shows the model can predict cost variance with 80% accuracy. It recommends construction parties consider the 12 identified factors when preparing cost estimates and allow for contingency based on economic conditions and project location. Further research expanding the model to different project types and using more structured cost data is suggested.
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Factor analysis was conducted on the responses to determine the percentage of variance accounted for by each criterion and key aspect. This provides a way to establish weightages for each in assessing built environment quality. Factor analysis of the criteria showed they are all important with relatively equal variances between 11-26%.
Further factor analysis was done on the key aspects within each individual criterion. This identified the percentage of variance explained by each key aspect, providing a basis for their
This document proposes a research project to develop techniques for automated testing of object-oriented software. The objectives are to design a framework for test case generation based on an intermediate graph representation of the software and to generate test cases by analyzing this graph. The plan is to use UML diagrams to construct a communication tree and then iteratively select predicates to transform into test data. The performance of the algorithms will be evaluated by testing them on sample data and comparing results.
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Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
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afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
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AI in customer support Use cases solutions development and implementation.pdfmahaffeycheryld
AI in customer support will integrate with emerging technologies such as augmented reality (AR) and virtual reality (VR) to enhance service delivery. AR-enabled smart glasses or VR environments will provide immersive support experiences, allowing customers to visualize solutions, receive step-by-step guidance, and interact with virtual support agents in real-time. These technologies will bridge the gap between physical and digital experiences, offering innovative ways to resolve issues, demonstrate products, and deliver personalized training and support.
https://www.leewayhertz.com/ai-in-customer-support/#How-does-AI-work-in-customer-support
2. Optimization
Search
Techniques
• Global
• It attempts to find the global minima or
maxima of a function or a set of functions
on a given set. It is usually described as a
minimization problem because the
maximization of the real-valued
function is equivalent to the minimization
of the function .
• Local
• It involves finding the optimal solution
for a specific region of the search space.
•
4. Some of Areas of
Using Simulated
Annealing
• Engineering Design
• Travel Planning and Route Optimization
• Image and Signal Processing
5. Simulated
Annealing
and Civil
Engineering
Some specific areas in civil engineering where
simulated annealing can be used:
• Construction Site Layout Planning
• Traffic Signal Optimization
• Urban Planning
• Water Distribution System Design
• Geotechnical Engineering
• Resource Allocation and Scheduling
6. How Simulated Annealing Can Assist in Optimizing The
Layout of Construction Sites.
1. Objective Definition: The first step is to define the objective of the optimization.
2. Initial Configuration: SA starts with an initial configuration of the construction site layout. It
represents the starting point for the optimization process.
3. Neighborhood Generation: SA explores the solution space by generating neighboring
configurations from the current layout.
4. Energy Evaluation: Each generated neighbor is evaluated using an objective function that
quantifies its fitness with respect to the optimization objective.
7. 5. Acceptance Criteria: SA employs a probabilistic acceptance criterion to
determine whether to accept or reject a neighbor. Initially, neighbors with better
fitness are always accepted.
6. Cooling Schedule: The cooling schedule determines how the acceptance criteria
become stricter over time, gradually converging towards a global optimum.
7. Termination Condition: The optimization process continues until a termination
condition is met. This condition can be based on reaching a maximum number of
iterations, achieving a desired fitness level, or the convergence of the solution.
8. Case Study
• To optimize the dynamic reliability of engineering project, first of all, the author analyzed factors
which affected construction quality, including the human condition, methods, machinery, and materials.
• Obtain the weights of various affecting factors by gray relational degree and determined the reliability
improvement feasible index (RIFI).
• For quality, first, the system reliability optimization model is established. Secondly, a cost function is
established to analyze the changing trend of reliability in different reliability improvement feasible index (RIFI)
conditions.
• This study used the adaptive simulated annealing algorithm and produced new creation, it computed the
difference of the objective function, and then it accepted or abandoned in the process until found the optimal
solution which most closed to target.
9. Reliability Analysis on Civil Engineering Project Based on
SA
• In a civil engineering project, managers consider not only the cost and
time, but also the quality and reliability. Civil engineering project
reliability analysis has become an essential part of the construction
process. The reliability of the civil engineering project can be affected
by many factors that are dynamic change.
10. Some Factors
Affecting
Quality
1. Human factors : Human influence is a very
important factor in the project, it involves every
stage of the project and affects other factors.
2. Material factors : In the construction engineering
project, materials, mainly involve all kinds of
engineering materials, prefabricated
parts, components, finished products and semi-
finished products.
3. Method factors : If there are incorrect or improper
construction methods in the construction
organization arrangement it's likely to
cause project quality problems.
4. Mechanical factors : The control of construction
machinery quality has great effect on time quality
and safety of civil engineering projects.
11. Calculating The Weights of Some Factors Affecting Quality
This study adopts the gray correlation method to gain weight matrix in this section,
then gets the similarity coefficient, determines the deviation degree, difference of
sequence and the gray correlation coefficient, the gray correlation degree, finally the
study normalizes the weight affecting quality.
13. Then we calculate the similarity coefficient by the formula:
The similarity matrix can be obtained as follows:
14. Then we calculate the deviation. We get: p = (0.0328, 0.000,
0.0080, 0.0279). Experts’ assessment deviation values that not
exceed 5% are considered valid; we judge the value p < 0.05,
so we consider expert evaluation results to be valid. After that
we calculate the difference of sequence and the gray
correlation coefficient.
16. Calculating The Gray Correlation Coefficient
This Photo by Unknown author is licensed under CC BY-SA.
17. Calculating The Gray Correlation Degree
This Photo by Unknown author is licensed under CC BY.
The g4j can be calculated as g4j = [0.61, 0.653, 0.703, 1] (j = 1, 2,
3,4). After normalized, the weight can be obtained: [W1, W2, W3,
W4,] = [0.206, 0.220, 0.237, 0.337].
19. Establishing The Models
Ti: Expenditures
C: Lowest cost
Li: the minimum reliability value
that is 0.5.
Ui: The highest reliability value that
is 0.95.