My Name Is Madeeha Saeed, I Made this app; "Abuse Prevention App" as my FYP; Final Year Project 2020, for my degree; Computer Science Engineering.
Gist: Women’s security is a critical issue in today’s world and it’s very much needed for every individual to be acting over such an issue. Our App, “Abuse Prevention App” provides Realtime self-defense to the user by giving an option of “Alerts”, which uses in-built GPS & GSM of an android device and sends a distress message with a user’s current location to the 2 contacts selected by a user. Nowadays due to recently happened cases such as rape by drivers or colleagues, burglary, etc., women's security has been compromised.
My Name Is Madeeha Saeed, I Made this app; "Abuse Prevention App" as my FYP; Final Year Project 2020, for my degree; Computer Science Engineering.
Gist: Women’s security is a critical issue in today’s world and it’s very much needed for every individual to be acting over such an issue. Our App, “Abuse Prevention App” provides Realtime self-defense to the user by giving an option of “Alerts”, which uses in-built GPS & GSM of an android device and sends a distress message with a user’s current location to the 2 contacts selected by a user. Nowadays due to recently happened cases such as rape by drivers or colleagues, burglary, etc., women's security has been compromised.
The system uses the Global Positioning System (GPS) technology to find out the location of women & also uses GSM (Global System for Mobile) to access mobile’s inbuilt messenger to send alerts to the prospects with the usage of user’s mobile sim. The prospects will receive a distress message along with user’s (fine) current location; Which will look like this: “I'm in danger. HELP! My location is: http: // maps. google. com /?q=33.7112448,73.0751833”. Then, the user’s location provided by the device can be viewed on Google maps using the Internet or specialized software from an app store i.e. Google Maps/Foursquare. Our app will be the ultimate tool to deal with the problem like women security for women working in night shifts and traveling alone, etc.
Muslim Women Pioneers All Over The World (Past & Present)Madeeha Saeed
Muslim Women Pioneers All Over The World (Present & Past) Including Earlier Times Of Islamic Civilisation.
Pakistani Historical Women Pioneers In Past & Present.
My Name Is Madeeha Saeed, I Made this app; "Abuse Prevention App" as my FYP; Final Year Project 2020, for my degree; Computer Science Engineering.
Gist: Women’s security is a critical issue in today’s world and it’s very much needed for every individual to be acting over such an issue. Our App, “Abuse Prevention App” provides Realtime self-defense to the user by giving an option of “Alerts”, which uses in-built GPS & GSM of an android device and sends a distress message with a user’s current location to the 2 contacts selected by a user. Nowadays due to recently happened cases such as rape by drivers or colleagues, burglary, etc., women's security has been compromised.
My Name Is Madeeha Saeed, I Made this app; "Abuse Prevention App" as my FYP; Final Year Project 2020, for my degree; Computer Science Engineering.
Gist: Women’s security is a critical issue in today’s world and it’s very much needed for every individual to be acting over such an issue. Our App, “Abuse Prevention App” provides Realtime self-defense to the user by giving an option of “Alerts”, which uses in-built GPS & GSM of an android device and sends a distress message with a user’s current location to the 2 contacts selected by a user. Nowadays due to recently happened cases such as rape by drivers or colleagues, burglary, etc., women's security has been compromised.
The system uses the Global Positioning System (GPS) technology to find out the location of women & also uses GSM (Global System for Mobile) to access mobile’s inbuilt messenger to send alerts to the prospects with the usage of user’s mobile sim. The prospects will receive a distress message along with user’s (fine) current location; Which will look like this: “I'm in danger. HELP! My location is: http: // maps. google. com /?q=33.7112448,73.0751833”. Then, the user’s location provided by the device can be viewed on Google maps using the Internet or specialized software from an app store i.e. Google Maps/Foursquare. Our app will be the ultimate tool to deal with the problem like women security for women working in night shifts and traveling alone, etc.
Muslim Women Pioneers All Over The World (Past & Present)Madeeha Saeed
Muslim Women Pioneers All Over The World (Present & Past) Including Earlier Times Of Islamic Civilisation.
Pakistani Historical Women Pioneers In Past & Present.
Writing skills are an important part of communication. Good writing skills allow you to communicate your message with clarity and ease to a far larger audience than through face-to-face or telephone conversation.
Pakistan And Its Relations With Central AsiaMadeeha Saeed
Since the Central Asian Republics attained independence from the Soviet Union in the early 1990’s (1991) ,Central Asian states have assumed great significance in Pakistan foreign policy considerations.
Central Asia comprises five independent republics; Kazakhstan,Krgyzstan,Uzbekistan,Turkmenistan and Tajikistan.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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.
Writing skills are an important part of communication. Good writing skills allow you to communicate your message with clarity and ease to a far larger audience than through face-to-face or telephone conversation.
Pakistan And Its Relations With Central AsiaMadeeha Saeed
Since the Central Asian Republics attained independence from the Soviet Union in the early 1990’s (1991) ,Central Asian states have assumed great significance in Pakistan foreign policy considerations.
Central Asia comprises five independent republics; Kazakhstan,Krgyzstan,Uzbekistan,Turkmenistan and Tajikistan.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
1. Renowned Maritime Patrol Aircrafts-I
Saab 2000 vs Bombardier Dash 8 (Q-Series)
Whenwe jumpin comparisontable,we talkaboutmajoraspectsratherthan the typical knownaspects
whichcouldbe neglectable.Some aviationwriterswill denyordisagree withme butinmyopinionitis
the fact behindmycomparisonbaeslol.That’sinformal butalittle pickyaspect.People don’twantto
knowwhattheyalreadyknow.Theyneedsome acknowledgeable tidbitsof aviation.Whichshouldbe
interestingwhilereading.One whoisreadingmustnotbe boredfromthe phrasesthat generallywriters
use and theyknewitbefore.
It’stime for anotherXvs Y assessment.Thistime roundthough,itisn’tbetweenairbusandBoeing, but
the globe’stwomostpopularnearbyturbopropplanes,The Saab2000 and BombardierDash-8Q400.
Contraryto this,I am goingto nutshell the tidbitsof the comparisonof these tworenownedbirds.Ican
put ATR 72 inthisdiscussion(alittle bit) but Iwon’tbecause IthinkATRneeddiscussionfromanother
angle.
In general traits,Saab2000 MPA (MilitaryPropellerPlane):
can fly499 nautical milesfartherat1,549 nautical miles
can cruise 2,260 feethigherat31,000 feet
Can attaina 150 knot(173 mph) highermax.cruise speedat370 knots(426 mph)
Is 24,865 lbsheavierat50,265 lbs.
seats33 extrapassengersat50 passengers
While BombardierQ400 (Turboprop-poweredNarrow-bodyCommercialPassengerPlane):
is$15,000,000 extraexpensive at$27 million
can fly427 nautical milesfartherat1,362 nautical miles
can cruise 2,000 toesbetterat 27,000 feet
Can reach a 99 knot(114 mph) highermax.cruise velocityat360 knots(414 mph)
produces6,642 greaterhp at 10,142 hp
is27,947 lbsheavierat64,500 lbs.
seats37 greaterpassengersatseventyfourpassengers
Has a zero.Thirteentoestallercabinat6.forty ft.
Well,generallythe questionarisesalwaysbe thatwhoiscompetinginrespectof performance.Mostly,I
foundopinionamongaviationguys thatthe traits,armamentsandperformance are all similar.In
concernof commuterturboprops,bothare capable to cruise at 400+ mph.Though,Saabis oldbird.Our
misfortunate aspect,Saabchangedintoconstructingitwhilstthe call forturbopropsturnedintolowand
neededtoforestall production;anupgradedmodel wouldbe afantasticcompetitorforthe Dash-8
Q400.
I scrolledonthe internetandfoundone manwhowas claimingthathe flownthe Q400 andhe lovedit.
Furtherhe saidthat as a prop,it isan incredible aircraft,brillianttakeoff overall performance,andnearly
as fast as an RJ.Moreover,inconcern of Saab 2000, Hissayingwasthat it lookslike anamazingbird
2. thoughand that I dolike Saabs,howevermyvote goestothe Q400. Sothat’s individual opinion.Butin
general aspectand generallywhatfewpeople believe isthatSaab2000 have an incredible impressionof
powerontakeoff.Theysaythat Q400 alsoseemsto have lotsof strength(howevernolongeras
apparentas the Saab 2000).
In respectof phenotype compatibilitiesandingeneral publicopinion,The Saab2000 have secure
leatherseatsandpassengersgenerallylikedthe 1-2seating.One shouldeveninshape acarry-onbag
intothe overheadpackingcontainers(whichrundownone aspectof the plane only,above the 2-
abreastseats) whichcoulddidnothealthyat the now-retiredLXEMB-145s. While Inconcernof Q400, It
containsa broadercabinwith2-2 seatingseemsmore spaciousalthoughthe seatsthemselvesare
probablyslightly narrower.Seatsonmostif notall Dash 8s don'trecline butstill seemquite
comfortable,andatleastthose operatedbyLH Regional (AugsburgAirways) seemtohave evenmore
seatpitch thanLH's own737s and A319/320/321s. Meanwhile,intermsof competition,the Saabseats
only50 versus74 onthe Q400. The Saab 2000 wouldcompete betterwithaQ300.
In furthercontrastwiththe Saab 2000, itssuperiormosteffective whenusedonrouteslessthan
800nm. It consistsof 10 more than the 2000 and isonlybarelyslowerhoweveritburnsmore gasoline
anothertime andthat one cannot imagine the usage of itabove 800nm maybe of any advantagesas
that’sjetterritory.PlusIstudysomewhere thatyouhave toby no meansflyyouraircraftkindfurther
than 10× it ispax capability. Howactual isthat? If that’sthe case,whothenneedsthe Q400s extra
varietyabilities?If anypilotalreadymountedATRson -300nm routeswithSaabson +300nm routesas
much as 600-700nm andthenuse the dashto dash over700nm routeswhichhave underneath80pax.
Howevernotunusual sense saysitmightnotbe reallyworthit.Moreover,due tothe fact one maysay
that Saab istoo small forwhatit providesandneedsanexcessive amount of gas.Infect,Its'scheap,this
isauthenticandadditionallynolongerthatgradual but the first-rate preferenceappearstobe the Q400
for shorthaul flights.Soincomparisonthe Q400 for routes;500 nm plusa few upto 800 nm. Overall
and dependingonthe gasoline charge.One cansuppose theymightbe identical.
The Q400 isgreatercostly,burnsmore fuel buthas decrease test-chargesandisfaster.Forthe reason
that youmay create verydense flightplans,itcanbe,that the q400 is a little bit more price effective
(once more, dependingatthe gasoline fee). Sowhatwe cansay at all isQ400 is clearlybetter,but
comesmuch laterandis more expensive.Itisfaster,sospendslesstime toflythe same route.Soit
burnsmore fuel perhour,but aboutthe same or evenslightlylessforthe same flight.Same deal forthe
Saab. Differencesare thatSaabhas 5 minlongerturns,andthe configsare probably48/2 forSaab, 60/3
for ATR72, 64/3 for Q400. Pluswhateverdifferencesthereare inpurchase/lease price,andavailability.
In concernsof fleettypes,One RTProfessional saidthatit'snotthat you needmore than20 ina fleet
and thenthey're worthit.If you stickto 3 or lessfleettypes,youshouldhave noproblems.If youhave 4
or more fleettypes,itgetsmore expensive the biggeryourairline gets.Youneedtohave areallygood
reasonto run more than 3 fleets.Those reasonsare normallybecauseyou're doingfleetreplacementin
3. a longergame,or youneedto getplanesfasterinorderto expandmore aggressively,andthe extra
growthspeed,extrarevenueoutweighsthe extracosts.
What that meanthat if youare goingto run a fleetof efficientturboprops,youshouldstartwiththe
short routes,everyplane shouldfly3-4times/daytostartwith.Butas you expand,youshouldinclude
all the 40+ pax routesout to the planesmax range, because theyare worthflying. Afterall these
debatesandstudy,one can acknowledge the factPAXLIMITSisthe real game.The biggestlessonisTO
ALWAYSCHECK THE PAXLIMITS. That’s Essential.
Conclusionmustbe that It have to be remembered,the Q400become designedasajetaircraft
substitute;nownotasa mere turbopropandusing Q400 is nota question of economy,it'sareligionlol
In informal language.While Saablivesitslife.
Copywrite Reserved
MadeehaSaeed
Aviation-Quack
