A study and analysis of chegalchoola slum development project at Trivandrum city done by COSTFORD, designed by Laurie Baker. Cost effective public housing.
This modular housing based in Belapur, New Mumbai, is designed by Ar. Charles Correa. This project, which was constructed in the 1980s, stands as a perfect example of affordable and high density housing, which is the need of the hour.
study of famous housing projects by architect Charles Correa.
1. BELAPUR Housing
2. Kanchanjunga Apartments
3. Tarapur housing
Authors- Richa, Parveen n Aarti
GROUP HOUSING : A DOMESTIC ARCHITECTURE ACCOMODATES THE GROUP RATHER THAN THE UNIT AND ITS THEREFORE PUBLIC AS WELL AS PRIVATE. IT IS FIMILIAR THROUGH THE WIDWSPREAD DEVELOPMENT OF MASS HOUSING IN THE WORLD IN WHICH INDIVIDUALS OR FAMILIES FIND LIVING SPACE EITHER IN M ULTIPLE DWELLINGS OR SINGLE LINITS PRODUCED IN QUALITY . GROUP HOUSING IS PRODUSED BY MANY KINDS OF CULTURES BY COMMUNAL STATES TO EQALIZE LIVING STANDDARDS BY TYRANTS TO ASSURE A DOCILE LABOUR FORCE, AND BY FEDUAL OR CASTE SYSTEM TO BRINGS TOGETHER MEMBERS OF A CLASS.
2. CLUSTER HOUSING
A SUBDIVISION TECHNIQUES WHERE KNOWN
AS ZERO –LOT –LINE HOUSING OR HIGH DENSITY
HOUSING DWELLING ARE GROUPED TOGHTHER
WITH COMMON AREA LEFT FOR RECREATION .
RAW HOUSING
ONE OF A SERIES OF HOUSES , OFTEN AS SIMILAR
OR IDENTICAL DESIGN, SITUATED SIDE BY SIDE
AND JOINED COMMON WALLS
3. PRADHAN MANTRI AWAS YOJANA
2 MILLION NON-SLUM URBAN POOR HOUSEHOLD
ARE PROPOSED TO BE COVERDED UNDER THE MISSION.
RAJIV AWAS YOJANA
IT UNCOURAGE “SLUM FREE INDIA” IN CITIES
IN WHICH EVERY CITIZEN HAS ACEES TO BASIC AMENITIES.
PRADHAN MANTRI GRAMIN AWAS YOZANA
PROVIDING FINANCIAL ASSISTANCE TO RURAL
POOR FOR CONSTRUCTING THEIR HOUSES THEMSELVES.
HOUSING FOR ALL BY 2022
MISSSION APPROVED A SUBSTANCIAL INCREAS IN INTEREST
RELIFE ON LOAN FOR THE URBAN POOR
TO PROMOTE AFFORDEBLE HOMES.
INTEREST SUBSIDY SCHEMES FOR HOUSING URBAN
THE SCHEMES ENVISAGES THE PROVISION OF
INTEREST TO EWS AND LIG SEGMENTS TO
ENABLES THEM TO BUY OR CONSTRUCT HOUSES.
4.Lower Income Group
Economic Weaker Section (EWS) means households with monthly household income upto Rs. 5000/- per month or as revised by the Ministry of Housing and Urban Poverty Alleviation, Government of India from time to time. Lower Income Group (LIG) means households with monthly household income between Rs. 5001/- to Rs.
5.Development of Group Housing will be under provision
of master plan, Enclave development plan and layout plan.
Minimum area of plot will be 2000sq.m
Land proposed for group housing will be located at 12m
wide exiting road, But the distance of the plot from 18m
(or above) wide road will not be more than 100m.
Slilt floor will be permitted for the purpose of parking in
group housing buildings, height of which of which be
2.1m up to the beam.
if slilt floor is used for purpose other than parking then
it will be counted in F.A.R.
Park and open area will be provided at the rate of
1.0sq.m. per person or 15% of the whole area,
whichever is more, in the plot of area 3000sq.m (or above).
This modular housing based in Belapur, New Mumbai, is designed by Ar. Charles Correa. This project, which was constructed in the 1980s, stands as a perfect example of affordable and high density housing, which is the need of the hour.
study of famous housing projects by architect Charles Correa.
1. BELAPUR Housing
2. Kanchanjunga Apartments
3. Tarapur housing
Authors- Richa, Parveen n Aarti
GROUP HOUSING : A DOMESTIC ARCHITECTURE ACCOMODATES THE GROUP RATHER THAN THE UNIT AND ITS THEREFORE PUBLIC AS WELL AS PRIVATE. IT IS FIMILIAR THROUGH THE WIDWSPREAD DEVELOPMENT OF MASS HOUSING IN THE WORLD IN WHICH INDIVIDUALS OR FAMILIES FIND LIVING SPACE EITHER IN M ULTIPLE DWELLINGS OR SINGLE LINITS PRODUCED IN QUALITY . GROUP HOUSING IS PRODUSED BY MANY KINDS OF CULTURES BY COMMUNAL STATES TO EQALIZE LIVING STANDDARDS BY TYRANTS TO ASSURE A DOCILE LABOUR FORCE, AND BY FEDUAL OR CASTE SYSTEM TO BRINGS TOGETHER MEMBERS OF A CLASS.
2. CLUSTER HOUSING
A SUBDIVISION TECHNIQUES WHERE KNOWN
AS ZERO –LOT –LINE HOUSING OR HIGH DENSITY
HOUSING DWELLING ARE GROUPED TOGHTHER
WITH COMMON AREA LEFT FOR RECREATION .
RAW HOUSING
ONE OF A SERIES OF HOUSES , OFTEN AS SIMILAR
OR IDENTICAL DESIGN, SITUATED SIDE BY SIDE
AND JOINED COMMON WALLS
3. PRADHAN MANTRI AWAS YOJANA
2 MILLION NON-SLUM URBAN POOR HOUSEHOLD
ARE PROPOSED TO BE COVERDED UNDER THE MISSION.
RAJIV AWAS YOJANA
IT UNCOURAGE “SLUM FREE INDIA” IN CITIES
IN WHICH EVERY CITIZEN HAS ACEES TO BASIC AMENITIES.
PRADHAN MANTRI GRAMIN AWAS YOZANA
PROVIDING FINANCIAL ASSISTANCE TO RURAL
POOR FOR CONSTRUCTING THEIR HOUSES THEMSELVES.
HOUSING FOR ALL BY 2022
MISSSION APPROVED A SUBSTANCIAL INCREAS IN INTEREST
RELIFE ON LOAN FOR THE URBAN POOR
TO PROMOTE AFFORDEBLE HOMES.
INTEREST SUBSIDY SCHEMES FOR HOUSING URBAN
THE SCHEMES ENVISAGES THE PROVISION OF
INTEREST TO EWS AND LIG SEGMENTS TO
ENABLES THEM TO BUY OR CONSTRUCT HOUSES.
4.Lower Income Group
Economic Weaker Section (EWS) means households with monthly household income upto Rs. 5000/- per month or as revised by the Ministry of Housing and Urban Poverty Alleviation, Government of India from time to time. Lower Income Group (LIG) means households with monthly household income between Rs. 5001/- to Rs.
5.Development of Group Housing will be under provision
of master plan, Enclave development plan and layout plan.
Minimum area of plot will be 2000sq.m
Land proposed for group housing will be located at 12m
wide exiting road, But the distance of the plot from 18m
(or above) wide road will not be more than 100m.
Slilt floor will be permitted for the purpose of parking in
group housing buildings, height of which of which be
2.1m up to the beam.
if slilt floor is used for purpose other than parking then
it will be counted in F.A.R.
Park and open area will be provided at the rate of
1.0sq.m. per person or 15% of the whole area,
whichever is more, in the plot of area 3000sq.m (or above).
architectural case study
Asian games village designed by ar. raj rewal
B.Arch 4th-year sem 7
detailed zoning
analysis and survey
concept execution
referral links
https://www.scribd.com/document/415212492/Asian-Games-Village-Final
https://portfolio.cept.ac.in/fp/from-utopias-to-heterotopias-migrant-housing-values-of-time-density-culture-and-energy-ur2005-monsoon-2019/building-blocks-of-migrant-housing-monsoon-2019-ug180076
https://www.slideshare.net/WaseemNoor3/raj-rewal-asian-games-village
https://www.archdaily.com/903782/asian-games-village-residence-iii-viueller-architects
https://rajrewal.in/portfolio/asian-games-village-1980-1982/
https://qdoc.tips/asiad-villagegrp-6-pdf-free.html
https://s3.us-east-1.amazonaws.com/media.archnet.org/system/publications/contents/2850/original/DPT0402.pdf?1384768113
https://prezi.com/zj7br3xisvu8/asiad-village/
A complete case study on group housing project,
sustainable environment.
Housing society studied are
1) Amrapali Vananchal City, Bhilai
2) Amrapali Silicon City, Noida
3) Interlace Housing, Singapore
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
architectural case study
Asian games village designed by ar. raj rewal
B.Arch 4th-year sem 7
detailed zoning
analysis and survey
concept execution
referral links
https://www.scribd.com/document/415212492/Asian-Games-Village-Final
https://portfolio.cept.ac.in/fp/from-utopias-to-heterotopias-migrant-housing-values-of-time-density-culture-and-energy-ur2005-monsoon-2019/building-blocks-of-migrant-housing-monsoon-2019-ug180076
https://www.slideshare.net/WaseemNoor3/raj-rewal-asian-games-village
https://www.archdaily.com/903782/asian-games-village-residence-iii-viueller-architects
https://rajrewal.in/portfolio/asian-games-village-1980-1982/
https://qdoc.tips/asiad-villagegrp-6-pdf-free.html
https://s3.us-east-1.amazonaws.com/media.archnet.org/system/publications/contents/2850/original/DPT0402.pdf?1384768113
https://prezi.com/zj7br3xisvu8/asiad-village/
A complete case study on group housing project,
sustainable environment.
Housing society studied are
1) Amrapali Vananchal City, Bhilai
2) Amrapali Silicon City, Noida
3) Interlace Housing, Singapore
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/