This document contains elevation data for multiple levels of a building, including the lowest level, street level, garage, and several second levels. The elevations range from approximately 90 to 120 feet. A scale of 1/4 inch equals 1 foot is provided.
The document contains architectural plans and drawings for a multi-level residential building including a ground floor, second floor, terrace, and parking area. Dimensions and room labels are provided for the building layout, plumbing, and electrical plans. Elevations are shown from the north, south, east, and west sides. 3D renderings from multiple angles are also included to visualize the overall building design.
This document contains a series of numbers and symbols that appear to be measurements in feet and inches describing the dimensions of a multi-level structure. There are labels indicating the measurements are for the lower level, second level, and third level. The measurements include lengths like 20' - 9" and heights like 5'-0".
This document contains technical building information including floor elevations and labels for architectural drawings. It lists the ground, first floor, roof, and grade elevations in meters for a building. It also includes scale information and directional labels that will be used on accompanying plans.
The document contains a floor plan layout with labels for rooms on the basement, ground, and second floors including dimensions. It also includes elevation views of the building and labels key structural heights from grade to roof. Dimensional and labeling information is repeated on multiple pages.
This document contains information about a 3D model with a scale of 1:100. It has one level labeled "Level 1" and was converted from a PDF file into the Revit software format. The document provides basic geometric and metadata about a 3D building model.
The document contains repetitive information about building levels including a first level from 0' to 0", a second level from 8' to 10", and a roof level at 18' 4". Floor plans and elevation views are provided with labels for cardinal directions and a scale of 1/4" = 1'-0".
This document contains elevation data for multiple levels of a building, including the lowest level, street level, garage, and several second levels. The elevations range from approximately 90 to 120 feet. A scale of 1/4 inch equals 1 foot is provided.
The document contains architectural plans and drawings for a multi-level residential building including a ground floor, second floor, terrace, and parking area. Dimensions and room labels are provided for the building layout, plumbing, and electrical plans. Elevations are shown from the north, south, east, and west sides. 3D renderings from multiple angles are also included to visualize the overall building design.
This document contains a series of numbers and symbols that appear to be measurements in feet and inches describing the dimensions of a multi-level structure. There are labels indicating the measurements are for the lower level, second level, and third level. The measurements include lengths like 20' - 9" and heights like 5'-0".
This document contains technical building information including floor elevations and labels for architectural drawings. It lists the ground, first floor, roof, and grade elevations in meters for a building. It also includes scale information and directional labels that will be used on accompanying plans.
The document contains a floor plan layout with labels for rooms on the basement, ground, and second floors including dimensions. It also includes elevation views of the building and labels key structural heights from grade to roof. Dimensional and labeling information is repeated on multiple pages.
This document contains information about a 3D model with a scale of 1:100. It has one level labeled "Level 1" and was converted from a PDF file into the Revit software format. The document provides basic geometric and metadata about a 3D building model.
The document contains repetitive information about building levels including a first level from 0' to 0", a second level from 8' to 10", and a roof level at 18' 4". Floor plans and elevation views are provided with labels for cardinal directions and a scale of 1/4" = 1'-0".
This document appears to contain technical information related to building plans and specifications, including room dimensions and counts, as well as what seem to be codes or identifiers. It includes Arabic text that may relate to rooms like a bathroom or kitchen. Various numbers are also present that could represent measurements, counts, or codes.
The document contains repetitive listings of alphanumeric codes and measurements. Specifically, it lists strings of letters and numbers, followed by repetitive measurements in feet and inches across 19 columns.
The document contains architectural plans, elevations, sections and details for a 3-story office building. Dimensioned floor plans show the layout of rooms on each level, including 187 square foot foyer, 574 square foot reception area, and various office spaces ranging from 301 to 605 square feet. Elevations depict the building height at 30 feet to the roof with balconies on the second and third floors. Sections and details provide additional structural information.
The document contains elevation drawings of a building with multiple levels including a level 1 at 100' - 0", level 2 at 110' - 8", level 3 at 121' - 6", roof at 130' - 9", and plate at 135' - 3". Dimension callouts are provided for the east, north, south, and west elevations.
This document contains an architectural floor plan layout. It includes dimensions for spaces like a waiting area, men's and women's restrooms, existing storage, existing restroom, new tenant spaces, and overall dimensions of 118' 8 1/2" by 61' 2". The scale of the plan is 1/8" = 1'-0".
This document provides basic information about a property. It is a single story brick and frame home built in 1978 with approximately 1,778 square feet located on Old Spanish Trail. The property appears to be in average condition based on the equal signs listed.
This document provides a brief description of floor levels in a building, listing the ground floor as level 3, the first floor as level 4, and the second floor as level 5.
The document contains architectural plans, elevations, sections and 3D views of a building project. It includes floor plans of the ground floor and first floor, large scale views of specific areas like the kitchen and bathrooms, and 3D exterior and interior views of the building. Metadata at the bottom provides information about the scale, author, date and other details pertaining to the project.
This document contains architectural plans and elevations for a multi-level residential building project. It includes floor heights and dimensions for the basement, first floor, second floor, attic, and sidewalk. It also provides elevations with exterior dimensions for the front, right side, rear, and left side of the building. Interior dimensions and labels are included for various rooms on the first floor, second floor, and basement levels.
The document appears to contain building plans and elevations for a multi-story structure. It includes floor heights for a basement, first, second, and third floor as well as the roof. It also includes dimensions for rooms, doors, and windows. Elevation drawings are provided for the front, sides, rear and floors at a scale of 1/4 inch equals 1 foot.
This document contains architectural plans and elevations for a residential building project including dimensions for floors, walls, doors, and other elements. The plans include front, side, rear and left side elevations labeled 1 through 4 at a scale of 1/4 inch equals 1 foot. Floor plans are provided for the first and second floors with labels for various rooms like the master bedroom, kitchen, garage and more along with their dimensions. Reference lines, labels, and numerical dimensions are provided throughout the document.
The document contains architectural plans including elevations and floor plans for a multi-story building. Measurements are provided for floor heights, wall lengths, room dimensions, and other building elements. Floor plans show the layout and labels for rooms on the first and second floors. Elevations depict the building from all four sides.
The document contains architectural elevation drawings for a building with dimensions for the first floor, attic, and various room heights including the kitchen, utility, bath, and deck. The drawings include front, right side, rear, and left side elevations at a scale of 1/4 inch equals 1 foot.
This document contains building plans and dimensions for an existing structure and a proposed renovation. It lists existing and proposed room labels and dimensions for the ground floor and roof of the building. It also provides 3D views of the existing building and proposed renovated building. Dimension tables and scale drawings are included for both existing and proposed floor plans and roof plans.
This document contains elevation drawings and floor plans for a multi-level home. The drawings show floor-to-floor heights, room dimensions, and labels for areas like the basement, first floor, second floor, attic, garage, and exterior elevations. Dimension strings and notes provide precise measurements for the layout and construction of the home.
The document appears to be a technical drawing or blueprint containing labels and measurements related to building floors, including a basement floor, first floor, second floor, roof, and cardinal directions. Numbers are listed for each floor along with labels like "UP", "DN", "REF.", and scale measurements including 1:100.
artificial intelligence and data science contents.pptxGauravCar
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
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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.
This document appears to contain technical information related to building plans and specifications, including room dimensions and counts, as well as what seem to be codes or identifiers. It includes Arabic text that may relate to rooms like a bathroom or kitchen. Various numbers are also present that could represent measurements, counts, or codes.
The document contains repetitive listings of alphanumeric codes and measurements. Specifically, it lists strings of letters and numbers, followed by repetitive measurements in feet and inches across 19 columns.
The document contains architectural plans, elevations, sections and details for a 3-story office building. Dimensioned floor plans show the layout of rooms on each level, including 187 square foot foyer, 574 square foot reception area, and various office spaces ranging from 301 to 605 square feet. Elevations depict the building height at 30 feet to the roof with balconies on the second and third floors. Sections and details provide additional structural information.
The document contains elevation drawings of a building with multiple levels including a level 1 at 100' - 0", level 2 at 110' - 8", level 3 at 121' - 6", roof at 130' - 9", and plate at 135' - 3". Dimension callouts are provided for the east, north, south, and west elevations.
This document contains an architectural floor plan layout. It includes dimensions for spaces like a waiting area, men's and women's restrooms, existing storage, existing restroom, new tenant spaces, and overall dimensions of 118' 8 1/2" by 61' 2". The scale of the plan is 1/8" = 1'-0".
This document provides basic information about a property. It is a single story brick and frame home built in 1978 with approximately 1,778 square feet located on Old Spanish Trail. The property appears to be in average condition based on the equal signs listed.
This document provides a brief description of floor levels in a building, listing the ground floor as level 3, the first floor as level 4, and the second floor as level 5.
The document contains architectural plans, elevations, sections and 3D views of a building project. It includes floor plans of the ground floor and first floor, large scale views of specific areas like the kitchen and bathrooms, and 3D exterior and interior views of the building. Metadata at the bottom provides information about the scale, author, date and other details pertaining to the project.
This document contains architectural plans and elevations for a multi-level residential building project. It includes floor heights and dimensions for the basement, first floor, second floor, attic, and sidewalk. It also provides elevations with exterior dimensions for the front, right side, rear, and left side of the building. Interior dimensions and labels are included for various rooms on the first floor, second floor, and basement levels.
The document appears to contain building plans and elevations for a multi-story structure. It includes floor heights for a basement, first, second, and third floor as well as the roof. It also includes dimensions for rooms, doors, and windows. Elevation drawings are provided for the front, sides, rear and floors at a scale of 1/4 inch equals 1 foot.
This document contains architectural plans and elevations for a residential building project including dimensions for floors, walls, doors, and other elements. The plans include front, side, rear and left side elevations labeled 1 through 4 at a scale of 1/4 inch equals 1 foot. Floor plans are provided for the first and second floors with labels for various rooms like the master bedroom, kitchen, garage and more along with their dimensions. Reference lines, labels, and numerical dimensions are provided throughout the document.
The document contains architectural plans including elevations and floor plans for a multi-story building. Measurements are provided for floor heights, wall lengths, room dimensions, and other building elements. Floor plans show the layout and labels for rooms on the first and second floors. Elevations depict the building from all four sides.
The document contains architectural elevation drawings for a building with dimensions for the first floor, attic, and various room heights including the kitchen, utility, bath, and deck. The drawings include front, right side, rear, and left side elevations at a scale of 1/4 inch equals 1 foot.
This document contains building plans and dimensions for an existing structure and a proposed renovation. It lists existing and proposed room labels and dimensions for the ground floor and roof of the building. It also provides 3D views of the existing building and proposed renovated building. Dimension tables and scale drawings are included for both existing and proposed floor plans and roof plans.
This document contains elevation drawings and floor plans for a multi-level home. The drawings show floor-to-floor heights, room dimensions, and labels for areas like the basement, first floor, second floor, attic, garage, and exterior elevations. Dimension strings and notes provide precise measurements for the layout and construction of the home.
The document appears to be a technical drawing or blueprint containing labels and measurements related to building floors, including a basement floor, first floor, second floor, roof, and cardinal directions. Numbers are listed for each floor along with labels like "UP", "DN", "REF.", and scale measurements including 1:100.
artificial intelligence and data science contents.pptxGauravCar
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
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
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.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.