Submittals
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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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1) Add trade categories like wood, doors, furniture.
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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.
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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.
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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.
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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.
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Contract import from excel
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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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Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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.
cnn.pptx Convolutional neural network used for image classication
Convolutional Neural Network used for image classification
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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Submittals
- 1. 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
- 2. 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
- 3. You can add photos for a drawing Add stakeholders
- 4. You can add also UDF (user defined field)