Submittals
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This document describes functions for defining submittal categories and entities in a project management system. It explains how to enter a project sequence and category, choose entity definitions by project and contract, provide entity details like type, title, reference, and add photos, stakeholders, attachments and user defined fields to entities. The goal is to organize submittals, drawings, and other documents for a construction project.
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Submittals
This document describes how to define submittal categories and entities for construction project submittals. It explains how to choose a project, assign submittal categories like "Normal" for drawings, and define entity details including title, type, third party, and references. Photos and stakeholders can be added, and user defined fields are available to customize submittal tracking. The goal is to organize submittal information for a construction project and control who can view different submittal categories.
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The document provides instructions for several functions in a construction project management system:
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2) The Progress Update function allows specifying quantity completed by period for each contract item.
3) The Client Charges function defines charges for the period and allows copying from previous certificates.
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The document provides instructions for defining a work breakdown structure (WBS) in up to four levels and linking bill of quantities (BOQs) to the WBS in a project management software. Users are directed to define the WBS for their selected project and contract, then link corresponding BOQs to each WBS item while ensuring the total allocated quantities do not exceed contractual amounts.
Direct costing
This document provides instructions for defining and assigning trade categories and trades in a housekeeping menu in order to generate bills of quantities (BOQs) and cost estimates. It describes how to:
1) Add trade categories like wood, doors, and furniture.
2) Define basic trades like frames and leaves for doors using predefined material, labor, and equipment codes.
3) Create door trades by copying from basic trades and ensuring no duplicate resource phases.
4) Access the costing function to select a project and BOQ, assign predefined trades to lines, and view unit and total costs.
Direct costing
This document provides instructions for defining and assigning trade categories and trades in a housekeeping menu in order to generate bills of quantities (BOQs) and cost estimates. It describes how to:
1) Add trade categories like wood, doors, and furniture.
2) Define basic trades like frames and leaves for doors using predefined material, labor, and equipment codes.
3) Create door trades by copying from basic trades and combining multiple trades while avoiding duplicate resource phases.
4) Access the costing function to select a project and BOQ, assign predefined trades to lines, modify resource quantities, and view unit and total costs.
Indirect cost elcir
1. The document discusses how to add indirect cost BOQs in a project by choosing the project and reference in the "enter tender BOQ" function.
2. It describes how to define overhead codes that can be used for indirect costs in the "Overhead Codes" function by adding new lines and deleting lines.
3. The final step is to enter the indirect costs for each defined BOQ by choosing the overhead codes and adding quantity and unit cost in the "costing (indirect)" function.
Contract import from excel
This document provides instructions for creating and importing contracts in a construction project management system. It outlines steps to define a new contract or display an existing one, import a bill of quantities (BOQ) from an Excel file into the contract, and copy the BOQ items into the system. The steps include choosing the project, clicking "new" or "display", defining contract divisions, clicking "import", selecting the Excel file, and clicking "copy boqs" to finalize the import.
Contract import from excel
This document provides instructions for importing an Excel file into a construction project management software. It tells the user to double click on the project and contract they are working on, define the divisions being used, and then click import. It explains the required Excel format which must include the project name, contract number, partial number from ERP, trade defined in ERP BOQ, description, unit of measure, and type. Finally, it instructs the user to open the Excel file, view the BOQs, and click copy BOQs to import them.
Contract import from excel
This document provides instructions for importing an Excel file into a construction project management software. It tells the user to double click on the project and contract they are working on, define the divisions being used, and then click import. It explains the required Excel format which must include the project name, contract number, partial number from ERP, trade defined in ERP BOQ, description, unit of measure, and type. Finally, it instructs the user to open the Excel file, view the BOQs, and click copy BOQs to import them.
Contract import from excel
Double click on the project and contract in the program to select them for editing. Import an Excel file with the project name, contract number, partial number from ERP, trade defined in ERP BOQ, description, unit of measure, type, and flags for header/title and BOQ item. Choose the Excel file, click open, then click copy boqs to import the bill of quantities into the program for the selected project and contract.
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This document provides guidance on formatting an Excel file for importing contract information. It lists the key fields to include such as project name, contract number, partial number from ERP, trade defined in ERP bill of quantities, description, unit of measure, and notes the common unit of measure abbreviations like LS for lump sum. The format should match what is used in the ERP system.
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Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
artificial intelligence and data science contents.pptx
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Applications of artificial Intelligence in Mechanical Engineering.pdf
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.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
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Submittals
- 2. Submittal Categories Function Define the project you want to work on Enter the sequence (1,2,3….) Choose the category (Normal is for drawings) Enter the a code for this category and a title You can double click on Group ID to choose the people that can see the submittals on this project
- 3. Define Entity Function Choose the Project and the contract Under each category (eg: drawing), enter the entity definition The entity definition is formed from the type which is defined in the submittal category function, The title that you enter manually, in third party, double click on GR to choose the third party (99 Is self which means you company) Then enter the reference of the drawing for example, you can link it to a boq in the contract and You can give it a drawing ID
- 4. You can add photos for a drawing Add stakeholders
- 5. Attachments You can add attachments on any line You can add many attachments on one line for example all the revisions on one drawing
- 6. You can add also UDF (user defined field)