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The document contains a diagram of architectural details and dimensions. There are numerous cornices ranging from 3 to 12 inches in height. Fins measuring 6 inches by 2 feet 3 inches are included. Steps and step cornices of various heights between 6 inches and 1 foot are depicted. The overall design spans approximately 20 feet wide by 10 feet tall.
7 steel structure
This document provides details of the layout and reinforcement of the first floor beams of a building. It includes a layout drawing of the first floor beams labeled FB1 through FB28. It also includes schedules specifying the beam sizes, reinforcement details, and concrete mix to be used. General notes provide instructions regarding dimensions, concrete mix proportions, reinforcement grades and details.
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Completed project
The document contains a diagram of architectural details and dimensions. There are numerous cornices ranging from 3 to 12 inches in height. Fins measuring 6 inches by 2 feet 3 inches are included. Steps and step cornices of various heights between 6 inches and 1 foot are depicted. The overall design spans approximately 20 feet wide by 10 feet tall.
7 steel structure
This document provides details of the layout and reinforcement of the first floor beams of a building. It includes a layout drawing of the first floor beams labeled FB1 through FB28. It also includes schedules specifying the beam sizes, reinforcement details, and concrete mix to be used. General notes provide instructions regarding dimensions, concrete mix proportions, reinforcement grades and details.
4 steel structure
The document contains details of the structural framing plan for the first floor of a proposed college building. It includes information on beam sizes, reinforcement details, slab schedules and sections. Key elements discussed are the beam sizes, stirrup spacing, main steel and thickness of different slab types including toilet slabs. Dimensional details of cornice sections are also provided. The document serves as a reference for the structural design and reinforcement layout of the first floor framing.
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This document contains a center line plan for a collage building project at Nandgaon Village in Thane district, Maharashtra, India. It lists dimensions for 34 sections of the building labeled C1 through C34. The sections range in size from 350x750 to 850x500. A line drawing shows the layout and dimensions between sections.
Sai Sanket construction
This document contains architectural plans and calculations for a proposed multi-level building project. The plans include ground, raised ground and first, and raised second floor plans. Calculations are provided for the total built up area, deductions, and balcony area for each floor. An area summary table outlines the total proposed area for each floor and ground floor shops/offices. A site plan shows the location of the proposed building on the site and relevant boundaries.
Sai Sanket construction
This single sentence document provides a title indicating it contains information about the left side elevation of a building or structure. No other details are given in the document.
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International Conference on NLP, Artificial Intelligence, Machine Learning an...
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
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train and test our model. The results of our experiments show that our CNN-LSTM method is much better
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Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
this notes have been created
by Eric36 at nyamata ttc
after readings
pe book for y2sme .
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